`_ and\n developed by `<NAME>`_.\n By `<NAME>`_ and <NAME>_.\n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.date` added (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n - Implement ``__getitem__`` for both :py:class:`~core.groupby.DatasetGroupBy` and\n :py:class:`~core.groupby.DataArrayGroupBy`, inspired by pandas'\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\n By `<NAME>`_.\n \n-\n Breaking changes\n ~~~~~~~~~~~~~~~~\n - :py:func:`open_dataset` and :py:func:`open_dataarray` now accept only the first argument\n"}],"string":"[\n {\n \"path\": \"doc/api-hidden.rst\",\n \"old_path\": \"a/doc/api-hidden.rst\",\n \"new_path\": \"b/doc/api-hidden.rst\",\n \"metadata\": \"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\\nindex 15d4759e9e0..f5e9348d4eb 100644\\n--- a/doc/api-hidden.rst\\n+++ b/doc/api-hidden.rst\\n@@ -287,6 +287,7 @@\\n core.accessor_dt.DatetimeAccessor.floor\\n core.accessor_dt.DatetimeAccessor.round\\n core.accessor_dt.DatetimeAccessor.strftime\\n+ core.accessor_dt.DatetimeAccessor.date\\n core.accessor_dt.DatetimeAccessor.day\\n core.accessor_dt.DatetimeAccessor.dayofweek\\n core.accessor_dt.DatetimeAccessor.dayofyear\\n\"\n },\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex f58b89b0766..7e13c2feefe 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -507,6 +507,7 @@ Datetimelike properties\\n DataArray.dt.daysinmonth\\n DataArray.dt.season\\n DataArray.dt.time\\n+ DataArray.dt.date\\n DataArray.dt.is_month_start\\n DataArray.dt.is_month_end\\n DataArray.dt.is_quarter_end\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex c7fba22e4ad..9a9a202bfd2 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -51,12 +51,13 @@ New Features\\n grant from the `Chan Zuckerberg Initiative <https://chanzuckerberg.com>`_ and\\n developed by `<NAME>`_.\\n By `<NAME>`_ and <NAME>_.\\n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.date` added (:issue:`<PRID>`, :pull:`<PRID>`).\\n+ By `<NAME>`_.\\n - Implement ``__getitem__`` for both :py:class:`~core.groupby.DatasetGroupBy` and\\n :py:class:`~core.groupby.DataArrayGroupBy`, inspired by pandas'\\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\\n By `<NAME>`_.\\n \\n-\\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n - :py:func:`open_dataset` and :py:func:`open_dataarray` now accept only the first argument\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 15d4759e9e0..f5e9348d4eb 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -287,6 +287,7 @@\n core.accessor_dt.DatetimeAccessor.floor\n core.accessor_dt.DatetimeAccessor.round\n core.accessor_dt.DatetimeAccessor.strftime\n+ core.accessor_dt.DatetimeAccessor.date\n core.accessor_dt.DatetimeAccessor.day\n core.accessor_dt.DatetimeAccessor.dayofweek\n core.accessor_dt.DatetimeAccessor.dayofyear\n\ndiff --git a/doc/api.rst b/doc/api.rst\nindex f58b89b0766..7e13c2feefe 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -507,6 +507,7 @@ Datetimelike properties\n DataArray.dt.daysinmonth\n DataArray.dt.season\n DataArray.dt.time\n+ DataArray.dt.date\n DataArray.dt.is_month_start\n DataArray.dt.is_month_end\n DataArray.dt.is_quarter_end\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex c7fba22e4ad..9a9a202bfd2 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -51,12 +51,13 @@ New Features\n grant from the `Chan Zuckerberg Initiative <https://chanzuckerberg.com>`_ and\n developed by `<NAME>`_.\n By `<NAME>`_ and <NAME>_.\n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.date` added (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n - Implement ``__getitem__`` for both :py:class:`~core.groupby.DatasetGroupBy` and\n :py:class:`~core.groupby.DataArrayGroupBy`, inspired by pandas'\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\n By `<NAME>`_.\n \n-\n Breaking changes\n ~~~~~~~~~~~~~~~~\n - :py:func:`open_dataset` and :py:func:`open_dataarray` now accept only the first argument\n\n"}}},{"rowIdx":570,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-5126"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/5126"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 403227b1b6b..e22805b0342 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -82,6 +82,13 @@ New Features\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\n By `Sam Levang <https://github.com/slevang>`_.\n+- Add options to control expand/collapse of sections in display of Dataset and\n+ DataArray. The function :py:func:`set_options` now takes keyword aguments\n+ ``display_expand_attrs``, ``display_expand_coords``, ``display_expand_data``,\n+ ``display_expand_data_vars``, all of which can be one of ``True`` to always\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over a\n+ pre-defined limit (:pull:`5126`).\n+ By `Tom White <https://github.com/tomwhite>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\ndiff --git a/xarray/core/formatting.py b/xarray/core/formatting.py\nindex 13f38820e4a..31a1b777f43 100644\n--- a/xarray/core/formatting.py\n+++ b/xarray/core/formatting.py\n@@ -11,7 +11,7 @@\n from pandas.errors import OutOfBoundsDatetime\n \n from .duck_array_ops import array_equiv\n-from .options import OPTIONS\n+from .options import OPTIONS, _get_boolean_with_default\n from .pycompat import dask_array_type, sparse_array_type\n from .utils import is_duck_array\n \n@@ -371,7 +371,9 @@ def _calculate_col_width(col_items):\n return col_width\n \n \n-def _mapping_repr(mapping, title, summarizer, col_width=None, max_rows=None):\n+def _mapping_repr(\n+ mapping, title, summarizer, expand_option_name, col_width=None, max_rows=None\n+):\n if col_width is None:\n col_width = _calculate_col_width(mapping)\n if max_rows is None:\n@@ -379,7 +381,9 @@ def _mapping_repr(mapping, title, summarizer, col_width=None, max_rows=None):\n summary = [f\"{title}:\"]\n if mapping:\n len_mapping = len(mapping)\n- if len_mapping > max_rows:\n+ if not _get_boolean_with_default(expand_option_name, default=True):\n+ summary = [f\"{summary[0]} ({len_mapping})\"]\n+ elif len_mapping > max_rows:\n summary = [f\"{summary[0]} ({max_rows}/{len_mapping})\"]\n first_rows = max_rows // 2 + max_rows % 2\n items = list(mapping.items())\n@@ -396,12 +400,18 @@ def _mapping_repr(mapping, title, summarizer, col_width=None, max_rows=None):\n \n \n data_vars_repr = functools.partial(\n- _mapping_repr, title=\"Data variables\", summarizer=summarize_datavar\n+ _mapping_repr,\n+ title=\"Data variables\",\n+ summarizer=summarize_datavar,\n+ expand_option_name=\"display_expand_data_vars\",\n )\n \n \n attrs_repr = functools.partial(\n- _mapping_repr, title=\"Attributes\", summarizer=summarize_attr\n+ _mapping_repr,\n+ title=\"Attributes\",\n+ summarizer=summarize_attr,\n+ expand_option_name=\"display_expand_attrs\",\n )\n \n \n@@ -409,7 +419,11 @@ def coords_repr(coords, col_width=None):\n if col_width is None:\n col_width = _calculate_col_width(_get_col_items(coords))\n return _mapping_repr(\n- coords, title=\"Coordinates\", summarizer=summarize_coord, col_width=col_width\n+ coords,\n+ title=\"Coordinates\",\n+ summarizer=summarize_coord,\n+ expand_option_name=\"display_expand_coords\",\n+ col_width=col_width,\n )\n \n \n@@ -493,9 +507,14 @@ def array_repr(arr):\n else:\n name_str = \"\"\n \n+ if _get_boolean_with_default(\"display_expand_data\", default=True):\n+ data_repr = short_data_repr(arr)\n+ else:\n+ data_repr = inline_variable_array_repr(arr, OPTIONS[\"display_width\"])\n+\n summary = [\n \"<xarray.{} {}({})>\".format(type(arr).__name__, name_str, dim_summary(arr)),\n- short_data_repr(arr),\n+ data_repr,\n ]\n \n if hasattr(arr, \"coords\"):\ndiff --git a/xarray/core/formatting_html.py b/xarray/core/formatting_html.py\nindex 3392aef8da3..9730a0a1745 100644\n--- a/xarray/core/formatting_html.py\n+++ b/xarray/core/formatting_html.py\n@@ -6,6 +6,7 @@\n import pkg_resources\n \n from .formatting import inline_variable_array_repr, short_data_repr\n+from .options import _get_boolean_with_default\n \n STATIC_FILES = (\"static/html/icons-svg-inline.html\", \"static/css/style.css\")\n \n@@ -164,9 +165,14 @@ def collapsible_section(\n )\n \n \n-def _mapping_section(mapping, name, details_func, max_items_collapse, enabled=True):\n+def _mapping_section(\n+ mapping, name, details_func, max_items_collapse, expand_option_name, enabled=True\n+):\n n_items = len(mapping)\n- collapsed = n_items >= max_items_collapse\n+ expanded = _get_boolean_with_default(\n+ expand_option_name, n_items < max_items_collapse\n+ )\n+ collapsed = not expanded\n \n return collapsible_section(\n name,\n@@ -188,7 +194,11 @@ def dim_section(obj):\n def array_section(obj):\n # \"unique\" id to expand/collapse the section\n data_id = \"section-\" + str(uuid.uuid4())\n- collapsed = \"checked\"\n+ collapsed = (\n+ \"checked\"\n+ if _get_boolean_with_default(\"display_expand_data\", default=True)\n+ else \"\"\n+ )\n variable = getattr(obj, \"variable\", obj)\n preview = escape(inline_variable_array_repr(variable, max_width=70))\n data_repr = short_data_repr_html(obj)\n@@ -209,6 +219,7 @@ def array_section(obj):\n name=\"Coordinates\",\n details_func=summarize_coords,\n max_items_collapse=25,\n+ expand_option_name=\"display_expand_coords\",\n )\n \n \n@@ -217,6 +228,7 @@ def array_section(obj):\n name=\"Data variables\",\n details_func=summarize_vars,\n max_items_collapse=15,\n+ expand_option_name=\"display_expand_data_vars\",\n )\n \n \n@@ -225,6 +237,7 @@ def array_section(obj):\n name=\"Attributes\",\n details_func=summarize_attrs,\n max_items_collapse=10,\n+ expand_option_name=\"display_expand_attrs\",\n )\n \n \ndiff --git a/xarray/core/options.py b/xarray/core/options.py\nindex 129698903c4..d53c9d5d7d9 100644\n--- a/xarray/core/options.py\n+++ b/xarray/core/options.py\n@@ -6,6 +6,10 @@\n DISPLAY_MAX_ROWS = \"display_max_rows\"\n DISPLAY_STYLE = \"display_style\"\n DISPLAY_WIDTH = \"display_width\"\n+DISPLAY_EXPAND_ATTRS = \"display_expand_attrs\"\n+DISPLAY_EXPAND_COORDS = \"display_expand_coords\"\n+DISPLAY_EXPAND_DATA_VARS = \"display_expand_data_vars\"\n+DISPLAY_EXPAND_DATA = \"display_expand_data\"\n ENABLE_CFTIMEINDEX = \"enable_cftimeindex\"\n FILE_CACHE_MAXSIZE = \"file_cache_maxsize\"\n KEEP_ATTRS = \"keep_attrs\"\n@@ -19,6 +23,10 @@\n DISPLAY_MAX_ROWS: 12,\n DISPLAY_STYLE: \"html\",\n DISPLAY_WIDTH: 80,\n+ DISPLAY_EXPAND_ATTRS: \"default\",\n+ DISPLAY_EXPAND_COORDS: \"default\",\n+ DISPLAY_EXPAND_DATA_VARS: \"default\",\n+ DISPLAY_EXPAND_DATA: \"default\",\n ENABLE_CFTIMEINDEX: True,\n FILE_CACHE_MAXSIZE: 128,\n KEEP_ATTRS: \"default\",\n@@ -38,6 +46,10 @@ def _positive_integer(value):\n DISPLAY_MAX_ROWS: _positive_integer,\n DISPLAY_STYLE: _DISPLAY_OPTIONS.__contains__,\n DISPLAY_WIDTH: _positive_integer,\n+ DISPLAY_EXPAND_ATTRS: lambda choice: choice in [True, False, \"default\"],\n+ DISPLAY_EXPAND_COORDS: lambda choice: choice in [True, False, \"default\"],\n+ DISPLAY_EXPAND_DATA_VARS: lambda choice: choice in [True, False, \"default\"],\n+ DISPLAY_EXPAND_DATA: lambda choice: choice in [True, False, \"default\"],\n ENABLE_CFTIMEINDEX: lambda value: isinstance(value, bool),\n FILE_CACHE_MAXSIZE: _positive_integer,\n KEEP_ATTRS: lambda choice: choice in [True, False, \"default\"],\n@@ -65,8 +77,8 @@ def _warn_on_setting_enable_cftimeindex(enable_cftimeindex):\n }\n \n \n-def _get_keep_attrs(default):\n- global_choice = OPTIONS[\"keep_attrs\"]\n+def _get_boolean_with_default(option, default):\n+ global_choice = OPTIONS[option]\n \n if global_choice == \"default\":\n return default\n@@ -74,10 +86,14 @@ def _get_keep_attrs(default):\n return global_choice\n else:\n raise ValueError(\n- \"The global option keep_attrs must be one of True, False or 'default'.\"\n+ f\"The global option {option} must be one of True, False or 'default'.\"\n )\n \n \n+def _get_keep_attrs(default):\n+ return _get_boolean_with_default(\"keep_attrs\", default)\n+\n+\n class set_options:\n \"\"\"Set options for xarray in a controlled context.\n \n@@ -108,6 +124,22 @@ class set_options:\n Default: ``'default'``.\n - ``display_style``: display style to use in jupyter for xarray objects.\n Default: ``'text'``. Other options are ``'html'``.\n+ - ``display_expand_attrs``: whether to expand the attributes section for\n+ display of ``DataArray`` or ``Dataset`` objects. Can be ``True`` to always\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over\n+ a pre-defined limit. Default: ``default``.\n+ - ``display_expand_coords``: whether to expand the coordinates section for\n+ display of ``DataArray`` or ``Dataset`` objects. Can be ``True`` to always\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over\n+ a pre-defined limit. Default: ``default``.\n+ - ``display_expand_data``: whether to expand the data section for display\n+ of ``DataArray`` objects. Can be ``True`` to always expand, ``False`` to\n+ always collapse, or ``default`` to expand unless over a pre-defined limit.\n+ Default: ``default``.\n+ - ``display_expand_data_vars``: whether to expand the data variables section\n+ for display of ``Dataset`` objects. Can be ``True`` to always\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over\n+ a pre-defined limit. Default: ``default``.\n \n \n You can use ``set_options`` either as a context manager:\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_formatting.py b/xarray/tests/test_formatting.py\nindex 1098587dca7..1e2a968debe 100644\n--- a/xarray/tests/test_formatting.py\n+++ b/xarray/tests/test_formatting.py\n@@ -391,6 +391,17 @@ def test_array_repr(self):\n \n assert actual == expected\n \n+ with xr.set_options(display_expand_data=False):\n+ actual = formatting.array_repr(ds[(1, 2)])\n+ expected = dedent(\n+ \"\"\"\\\n+ <xarray.DataArray (1, 2) (test: 1)>\n+ 0\n+ Dimensions without coordinates: test\"\"\"\n+ )\n+\n+ assert actual == expected\n+\n \n def test_inline_variable_array_repr_custom_repr():\n class CustomArray:\n@@ -492,3 +503,19 @@ def test__mapping_repr(display_max_rows, n_vars, n_attr):\n len_summary = len(summary)\n data_vars_print_size = min(display_max_rows, len_summary)\n assert len_summary == data_vars_print_size\n+\n+ with xr.set_options(\n+ display_expand_coords=False,\n+ display_expand_data_vars=False,\n+ display_expand_attrs=False,\n+ ):\n+ actual = formatting.dataset_repr(ds)\n+ expected = dedent(\n+ f\"\"\"\\\n+ <xarray.Dataset>\n+ Dimensions: (time: 2)\n+ Coordinates: (1)\n+ Data variables: ({n_vars})\n+ Attributes: ({n_attr})\"\"\"\n+ )\n+ assert actual == expected\ndiff --git a/xarray/tests/test_formatting_html.py b/xarray/tests/test_formatting_html.py\nindex 9a210ad6fa3..4cf4509c7eb 100644\n--- a/xarray/tests/test_formatting_html.py\n+++ b/xarray/tests/test_formatting_html.py\n@@ -115,6 +115,17 @@ def test_repr_of_dataarray(dataarray):\n formatted.count(\"class='xr-section-summary-in' type='checkbox' disabled >\") == 2\n )\n \n+ with xr.set_options(display_expand_data=False):\n+ formatted = fh.array_repr(dataarray)\n+ assert \"dim_0\" in formatted\n+ # has an expanded data section\n+ assert formatted.count(\"class='xr-array-in' type='checkbox' checked>\") == 0\n+ # coords and attrs don't have an items so they'll be be disabled and collapsed\n+ assert (\n+ formatted.count(\"class='xr-section-summary-in' type='checkbox' disabled >\")\n+ == 2\n+ )\n+\n \n def test_summary_of_multiindex_coord(multiindex):\n idx = multiindex.x.variable.to_index_variable()\n@@ -138,6 +149,20 @@ def test_repr_of_dataset(dataset):\n assert \"<U4\" in formatted or \">U4\" in formatted\n assert \"<IA>\" in formatted\n \n+ with xr.set_options(\n+ display_expand_coords=False,\n+ display_expand_data_vars=False,\n+ display_expand_attrs=False,\n+ ):\n+ formatted = fh.dataset_repr(dataset)\n+ # coords, attrs, and data_vars are collapsed\n+ assert (\n+ formatted.count(\"class='xr-section-summary-in' type='checkbox' checked>\")\n+ == 0\n+ )\n+ assert \"<U4\" in formatted or \">U4\" in formatted\n+ assert \"<IA>\" in formatted\n+\n \n def test_repr_text_fallback(dataset):\n formatted = fh.dataset_repr(dataset)\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 403227b1b6b..e22805b0342 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -82,6 +82,13 @@ New Features\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\n By `Sam Levang <https://github.com/slevang>`_.\n+- Add options to control expand/collapse of sections in display of Dataset and\n+ DataArray. The function :py:func:`set_options` now takes keyword aguments\n+ ``display_expand_attrs``, ``display_expand_coords``, ``display_expand_data``,\n+ ``display_expand_data_vars``, all of which can be one of ``True`` to always\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over a\n+ pre-defined limit (:pull:`5126`).\n+ By `Tom White <https://github.com/tomwhite>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 403227b1b6b..e22805b0342 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -82,6 +82,13 @@ New Features\\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\\n By `Sam Levang <https://github.com/slevang>`_.\\n+- Add options to control expand/collapse of sections in display of Dataset and\\n+ DataArray. The function :py:func:`set_options` now takes keyword aguments\\n+ ``display_expand_attrs``, ``display_expand_coords``, ``display_expand_data``,\\n+ ``display_expand_data_vars``, all of which can be one of ``True`` to always\\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over a\\n+ pre-defined limit (:pull:`5126`).\\n+ By `Tom White <https://github.com/tomwhite>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0018"},"base_commit":{"kind":"string","value":"6bfbaede69eb73810cb63672a8161bd1fc147594"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_formatting_html.py::test_repr_of_multiindex\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_diff_attrs_repr_with_array\",\n \"xarray/tests/test_formatting_html.py::test_format_dims_unsafe_dim_name\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_timestamp_out_of_bounds\",\n \"xarray/tests/test_formatting.py::test_large_array_repr_length\",\n \"xarray/tests/test_formatting.py::test_short_numpy_repr\",\n \"xarray/tests/test_formatting_html.py::test_format_dims_index\",\n \"xarray/tests/test_formatting_html.py::test_variable_repr_html\",\n \"xarray/tests/test_formatting.py::test_set_numpy_options\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_array_flat\",\n \"xarray/tests/test_formatting.py::test_inline_variable_array_repr_custom_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_items\",\n \"xarray/tests/test_formatting_html.py::test_format_dims_no_dims\",\n \"xarray/tests/test_formatting_html.py::test_short_data_repr_html_non_str_keys\",\n \"xarray/tests/test_formatting_html.py::test_summary_of_multiindex_coord\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_attribute_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_first_n_items\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_item\",\n \"xarray/tests/test_formatting_html.py::test_short_data_repr_html\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_get_indexer_at_least_n_items\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_diff_dataset_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_last_n_items\",\n \"xarray/tests/test_formatting_html.py::test_format_dims_non_index\",\n \"xarray/tests/test_formatting_html.py::test_repr_text_fallback\",\n \"xarray/tests/test_formatting_html.py::test_summarize_attrs_with_unsafe_attr_name_and_value\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_diff_array_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_pretty_print\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_maybe_truncate\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_last_item\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_formatting.py::test__mapping_repr[35-40-30]","xarray/tests/test_formatting.py::test__mapping_repr[11-40-30]","xarray/tests/test_formatting.py::TestFormatting::test_array_repr","xarray/tests/test_formatting.py::test__mapping_repr[50-40-30]","xarray/tests/test_formatting.py::test__mapping_repr[1-40-30]","xarray/tests/test_formatting_html.py::test_repr_of_dataarray","xarray/tests/test_formatting_html.py::test_repr_of_dataset"],"string":"[\n \"xarray/tests/test_formatting.py::test__mapping_repr[35-40-30]\",\n \"xarray/tests/test_formatting.py::test__mapping_repr[11-40-30]\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_array_repr\",\n \"xarray/tests/test_formatting.py::test__mapping_repr[50-40-30]\",\n \"xarray/tests/test_formatting.py::test__mapping_repr[1-40-30]\",\n \"xarray/tests/test_formatting_html.py::test_repr_of_dataarray\",\n \"xarray/tests/test_formatting_html.py::test_repr_of_dataset\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 403227b1b6b..e22805b0342 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -82,6 +82,13 @@ New Features\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n+- Add options to control expand/collapse of sections in display of Dataset and\n+ DataArray. The function :py:func:`set_options` now takes keyword aguments\n+ ``display_expand_attrs``, ``display_expand_coords``, ``display_expand_data``,\n+ ``display_expand_data_vars``, all of which can be one of ``True`` to always\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over a\n+ pre-defined limit (:pull:`<PRID>`).\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 403227b1b6b..e22805b0342 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -82,6 +82,13 @@ New Features\\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\\n By `<NAME>`_.\\n+- Add options to control expand/collapse of sections in display of Dataset and\\n+ DataArray. The function :py:func:`set_options` now takes keyword aguments\\n+ ``display_expand_attrs``, ``display_expand_coords``, ``display_expand_data``,\\n+ ``display_expand_data_vars``, all of which can be one of ``True`` to always\\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over a\\n+ pre-defined limit (:pull:`<PRID>`).\\n+ By `<NAME>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 403227b1b6b..e22805b0342 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -82,6 +82,13 @@ New Features\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n+- Add options to control expand/collapse of sections in display of Dataset and\n+ DataArray. The function :py:func:`set_options` now takes keyword aguments\n+ ``display_expand_attrs``, ``display_expand_coords``, ``display_expand_data``,\n+ ``display_expand_data_vars``, all of which can be one of ``True`` to always\n+ expand, ``False`` to always collapse, or ``default`` to expand unless over a\n+ pre-defined limit (:pull:`<PRID>`).\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n\n"}}},{"rowIdx":571,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4984"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4984"},"feature_patch":{"kind":"string","value":"diff --git a/ci/requirements/environment.yml b/ci/requirements/environment.yml\nindex 36147c64c03..57498fa5700 100644\n--- a/ci/requirements/environment.yml\n+++ b/ci/requirements/environment.yml\n@@ -22,6 +22,7 @@ dependencies:\n - nc-time-axis\n - netcdf4\n - numba\n+ - numexpr\n - numpy\n - pandas\n - pint\ndiff --git a/doc/api.rst b/doc/api.rst\nindex 7e13c2feefe..4af9bb01208 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -138,6 +138,7 @@ Indexing\n Dataset.set_index\n Dataset.reset_index\n Dataset.reorder_levels\n+ Dataset.query\n \n Missing value handling\n ----------------------\n@@ -321,6 +322,7 @@ Indexing\n DataArray.set_index\n DataArray.reset_index\n DataArray.reorder_levels\n+ DataArray.query\n \n Missing value handling\n ----------------------\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex e0c11fefd36..fbd2617b16f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,10 @@ v0.17.1 (unreleased)\n \n New Features\n ~~~~~~~~~~~~\n+\n+- Add :py:meth:`Dataset.query` and :py:meth:`DataArray.query` which enable indexing\n+ of datasets and data arrays by evaluating query expressions against the values of the\n+ data variables (:pull:`4984`). By `Alistair Miles <https://github.com/alimanfoo>`_.\n - Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`4895`).\n By `Justus Magin <https://github.com/keewis>`_.\n - Support for `dask.graph_manipulation\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 5f944354901..b2fc14f4ba7 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -4354,6 +4354,70 @@ def argmax(\n else:\n return self._replace_maybe_drop_dims(result)\n \n+ def query(\n+ self,\n+ queries: Mapping[Hashable, Any] = None,\n+ parser: str = \"pandas\",\n+ engine: str = None,\n+ missing_dims: str = \"raise\",\n+ **queries_kwargs: Any,\n+ ) -> \"DataArray\":\n+ \"\"\"Return a new data array indexed along the specified\n+ dimension(s), where the indexers are given as strings containing\n+ Python expressions to be evaluated against the values in the array.\n+\n+ Parameters\n+ ----------\n+ queries : dict, optional\n+ A dict with keys matching dimensions and values given by strings\n+ containing Python expressions to be evaluated against the data variables\n+ in the dataset. The expressions will be evaluated using the pandas\n+ eval() function, and can contain any valid Python expressions but cannot\n+ contain any Python statements.\n+ parser : {\"pandas\", \"python\"}, default: \"pandas\"\n+ The parser to use to construct the syntax tree from the expression.\n+ The default of 'pandas' parses code slightly different than standard\n+ Python. Alternatively, you can parse an expression using the 'python'\n+ parser to retain strict Python semantics.\n+ engine: {\"python\", \"numexpr\", None}, default: None\n+ The engine used to evaluate the expression. Supported engines are:\n+ - None: tries to use numexpr, falls back to python\n+ - \"numexpr\": evaluates expressions using numexpr\n+ - \"python\": performs operations as if you had eval’d in top level python\n+ missing_dims : {\"raise\", \"warn\", \"ignore\"}, default: \"raise\"\n+ What to do if dimensions that should be selected from are not present in the\n+ Dataset:\n+ - \"raise\": raise an exception\n+ - \"warning\": raise a warning, and ignore the missing dimensions\n+ - \"ignore\": ignore the missing dimensions\n+ **queries_kwargs : {dim: query, ...}, optional\n+ The keyword arguments form of ``queries``.\n+ One of queries or queries_kwargs must be provided.\n+\n+ Returns\n+ -------\n+ obj : DataArray\n+ A new DataArray with the same contents as this dataset, indexed by\n+ the results of the appropriate queries.\n+\n+ See Also\n+ --------\n+ DataArray.isel\n+ Dataset.query\n+ pandas.eval\n+\n+ \"\"\"\n+\n+ ds = self._to_dataset_whole(shallow_copy=True)\n+ ds = ds.query(\n+ queries=queries,\n+ parser=parser,\n+ engine=engine,\n+ missing_dims=missing_dims,\n+ **queries_kwargs,\n+ )\n+ return ds[self.name]\n+\n # this needs to be at the end, or mypy will confuse with `str`\n # https://mypy.readthedocs.io/en/latest/common_issues.html#dealing-with-conflicting-names\n str = utils.UncachedAccessor(StringAccessor)\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex d76d136be8b..19b3eec5f07 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -7001,5 +7001,78 @@ def argmax(self, dim=None, **kwargs):\n \"Dataset.argmin() with a sequence or ... for dim\"\n )\n \n+ def query(\n+ self,\n+ queries: Mapping[Hashable, Any] = None,\n+ parser: str = \"pandas\",\n+ engine: str = None,\n+ missing_dims: str = \"raise\",\n+ **queries_kwargs: Any,\n+ ) -> \"Dataset\":\n+ \"\"\"Return a new dataset with each array indexed along the specified\n+ dimension(s), where the indexers are given as strings containing\n+ Python expressions to be evaluated against the data variables in the\n+ dataset.\n+\n+ Parameters\n+ ----------\n+ queries : dict, optional\n+ A dict with keys matching dimensions and values given by strings\n+ containing Python expressions to be evaluated against the data variables\n+ in the dataset. The expressions will be evaluated using the pandas\n+ eval() function, and can contain any valid Python expressions but cannot\n+ contain any Python statements.\n+ parser : {\"pandas\", \"python\"}, default: \"pandas\"\n+ The parser to use to construct the syntax tree from the expression.\n+ The default of 'pandas' parses code slightly different than standard\n+ Python. Alternatively, you can parse an expression using the 'python'\n+ parser to retain strict Python semantics.\n+ engine: {\"python\", \"numexpr\", None}, default: None\n+ The engine used to evaluate the expression. Supported engines are:\n+ - None: tries to use numexpr, falls back to python\n+ - \"numexpr\": evaluates expressions using numexpr\n+ - \"python\": performs operations as if you had eval’d in top level python\n+ missing_dims : {\"raise\", \"warn\", \"ignore\"}, default: \"raise\"\n+ What to do if dimensions that should be selected from are not present in the\n+ Dataset:\n+ - \"raise\": raise an exception\n+ - \"warning\": raise a warning, and ignore the missing dimensions\n+ - \"ignore\": ignore the missing dimensions\n+ **queries_kwargs : {dim: query, ...}, optional\n+ The keyword arguments form of ``queries``.\n+ One of queries or queries_kwargs must be provided.\n+\n+ Returns\n+ -------\n+ obj : Dataset\n+ A new Dataset with the same contents as this dataset, except each\n+ array and dimension is indexed by the results of the appropriate\n+ queries.\n+\n+ See Also\n+ --------\n+ Dataset.isel\n+ pandas.eval\n+\n+ \"\"\"\n+\n+ # allow queries to be given either as a dict or as kwargs\n+ queries = either_dict_or_kwargs(queries, queries_kwargs, \"query\")\n+\n+ # check queries\n+ for dim, expr in queries.items():\n+ if not isinstance(expr, str):\n+ msg = f\"expr for dim {dim} must be a string to be evaluated, {type(expr)} given\"\n+ raise ValueError(msg)\n+\n+ # evaluate the queries to create the indexers\n+ indexers = {\n+ dim: pd.eval(expr, resolvers=[self], parser=parser, engine=engine)\n+ for dim, expr in queries.items()\n+ }\n+\n+ # apply the selection\n+ return self.isel(indexers, missing_dims=missing_dims)\n+\n \n ops.inject_all_ops_and_reduce_methods(Dataset, array_only=False)\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py\nindex 4b47e1d2c7e..aebcb0f2b8d 100644\n--- a/xarray/tests/__init__.py\n+++ b/xarray/tests/__init__.py\n@@ -83,6 +83,7 @@ def LooseVersion(vstring):\n has_cartopy, requires_cartopy = _importorskip(\"cartopy\")\n # Need Pint 0.15 for __dask_tokenize__ tests for Quantity wrapped Dask Arrays\n has_pint_0_15, requires_pint_0_15 = _importorskip(\"pint\", minversion=\"0.15\")\n+has_numexpr, requires_numexpr = _importorskip(\"numexpr\")\n \n # some special cases\n has_scipy_or_netCDF4 = has_scipy or has_netCDF4\ndiff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex 259e91083a7..c38c3656eaf 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -7,6 +7,7 @@\n import numpy as np\n import pandas as pd\n import pytest\n+from pandas.core.computation.ops import UndefinedVariableError\n from pandas.tseries.frequencies import to_offset\n \n import xarray as xr\n@@ -39,6 +40,7 @@\n requires_dask,\n requires_iris,\n requires_numbagg,\n+ requires_numexpr,\n requires_scipy,\n requires_sparse,\n source_ndarray,\n@@ -4620,6 +4622,74 @@ def test_pad_reflect(self, mode, reflect_type):\n assert actual.shape == (7, 4, 9)\n assert_identical(actual, expected)\n \n+ @pytest.mark.parametrize(\"parser\", [\"pandas\", \"python\"])\n+ @pytest.mark.parametrize(\n+ \"engine\", [\"python\", None, pytest.param(\"numexpr\", marks=[requires_numexpr])]\n+ )\n+ @pytest.mark.parametrize(\n+ \"backend\", [\"numpy\", pytest.param(\"dask\", marks=[requires_dask])]\n+ )\n+ def test_query(self, backend, engine, parser):\n+ \"\"\"Test querying a dataset.\"\"\"\n+\n+ # setup test data\n+ np.random.seed(42)\n+ a = np.arange(0, 10, 1)\n+ b = np.random.randint(0, 100, size=10)\n+ c = np.linspace(0, 1, 20)\n+ d = np.random.choice([\"foo\", \"bar\", \"baz\"], size=30, replace=True).astype(\n+ object\n+ )\n+ if backend == \"numpy\":\n+ aa = DataArray(data=a, dims=[\"x\"], name=\"a\")\n+ bb = DataArray(data=b, dims=[\"x\"], name=\"b\")\n+ cc = DataArray(data=c, dims=[\"y\"], name=\"c\")\n+ dd = DataArray(data=d, dims=[\"z\"], name=\"d\")\n+\n+ elif backend == \"dask\":\n+ import dask.array as da\n+\n+ aa = DataArray(data=da.from_array(a, chunks=3), dims=[\"x\"], name=\"a\")\n+ bb = DataArray(data=da.from_array(b, chunks=3), dims=[\"x\"], name=\"b\")\n+ cc = DataArray(data=da.from_array(c, chunks=7), dims=[\"y\"], name=\"c\")\n+ dd = DataArray(data=da.from_array(d, chunks=12), dims=[\"z\"], name=\"d\")\n+\n+ # query single dim, single variable\n+ actual = aa.query(x=\"a > 5\", engine=engine, parser=parser)\n+ expect = aa.isel(x=(a > 5))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single variable, via dict\n+ actual = aa.query(dict(x=\"a > 5\"), engine=engine, parser=parser)\n+ expect = aa.isel(dict(x=(a > 5)))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single variable\n+ actual = bb.query(x=\"b > 50\", engine=engine, parser=parser)\n+ expect = bb.isel(x=(b > 50))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single variable\n+ actual = cc.query(y=\"c < .5\", engine=engine, parser=parser)\n+ expect = cc.isel(y=(c < 0.5))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single string variable\n+ if parser == \"pandas\":\n+ # N.B., this query currently only works with the pandas parser\n+ # xref https://github.com/pandas-dev/pandas/issues/40436\n+ actual = dd.query(z='d == \"bar\"', engine=engine, parser=parser)\n+ expect = dd.isel(z=(d == \"bar\"))\n+ assert_identical(expect, actual)\n+\n+ # test error handling\n+ with pytest.raises(ValueError):\n+ aa.query(\"a > 5\") # must be dict or kwargs\n+ with pytest.raises(ValueError):\n+ aa.query(x=(a > 5)) # must be query string\n+ with pytest.raises(UndefinedVariableError):\n+ aa.query(x=\"spam > 50\") # name not present\n+\n \n class TestReduce:\n @pytest.fixture(autouse=True)\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex df7f54ed30a..52df7603034 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -8,6 +8,7 @@\n import numpy as np\n import pandas as pd\n import pytest\n+from pandas.core.computation.ops import UndefinedVariableError\n from pandas.core.indexes.datetimes import DatetimeIndex\n from pandas.tseries.frequencies import to_offset\n \n@@ -45,6 +46,7 @@\n requires_cftime,\n requires_dask,\n requires_numbagg,\n+ requires_numexpr,\n requires_scipy,\n requires_sparse,\n source_ndarray,\n@@ -5807,6 +5809,135 @@ def test_astype_attrs(self):\n assert not data.astype(float, keep_attrs=False).attrs\n assert not data.astype(float, keep_attrs=False).var1.attrs\n \n+ @pytest.mark.parametrize(\"parser\", [\"pandas\", \"python\"])\n+ @pytest.mark.parametrize(\n+ \"engine\", [\"python\", None, pytest.param(\"numexpr\", marks=[requires_numexpr])]\n+ )\n+ @pytest.mark.parametrize(\n+ \"backend\", [\"numpy\", pytest.param(\"dask\", marks=[requires_dask])]\n+ )\n+ def test_query(self, backend, engine, parser):\n+ \"\"\"Test querying a dataset.\"\"\"\n+\n+ # setup test data\n+ np.random.seed(42)\n+ a = np.arange(0, 10, 1)\n+ b = np.random.randint(0, 100, size=10)\n+ c = np.linspace(0, 1, 20)\n+ d = np.random.choice([\"foo\", \"bar\", \"baz\"], size=30, replace=True).astype(\n+ object\n+ )\n+ e = np.arange(0, 10 * 20).reshape(10, 20)\n+ f = np.random.normal(0, 1, size=(10, 20, 30))\n+ if backend == \"numpy\":\n+ ds = Dataset(\n+ {\n+ \"a\": (\"x\", a),\n+ \"b\": (\"x\", b),\n+ \"c\": (\"y\", c),\n+ \"d\": (\"z\", d),\n+ \"e\": ((\"x\", \"y\"), e),\n+ \"f\": ((\"x\", \"y\", \"z\"), f),\n+ }\n+ )\n+ elif backend == \"dask\":\n+ ds = Dataset(\n+ {\n+ \"a\": (\"x\", da.from_array(a, chunks=3)),\n+ \"b\": (\"x\", da.from_array(b, chunks=3)),\n+ \"c\": (\"y\", da.from_array(c, chunks=7)),\n+ \"d\": (\"z\", da.from_array(d, chunks=12)),\n+ \"e\": ((\"x\", \"y\"), da.from_array(e, chunks=(3, 7))),\n+ \"f\": ((\"x\", \"y\", \"z\"), da.from_array(f, chunks=(3, 7, 12))),\n+ }\n+ )\n+\n+ # query single dim, single variable\n+ actual = ds.query(x=\"a > 5\", engine=engine, parser=parser)\n+ expect = ds.isel(x=(a > 5))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single variable, via dict\n+ actual = ds.query(dict(x=\"a > 5\"), engine=engine, parser=parser)\n+ expect = ds.isel(dict(x=(a > 5)))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single variable\n+ actual = ds.query(x=\"b > 50\", engine=engine, parser=parser)\n+ expect = ds.isel(x=(b > 50))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single variable\n+ actual = ds.query(y=\"c < .5\", engine=engine, parser=parser)\n+ expect = ds.isel(y=(c < 0.5))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, single string variable\n+ if parser == \"pandas\":\n+ # N.B., this query currently only works with the pandas parser\n+ # xref https://github.com/pandas-dev/pandas/issues/40436\n+ actual = ds.query(z='d == \"bar\"', engine=engine, parser=parser)\n+ expect = ds.isel(z=(d == \"bar\"))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, multiple variables\n+ actual = ds.query(x=\"(a > 5) & (b > 50)\", engine=engine, parser=parser)\n+ expect = ds.isel(x=((a > 5) & (b > 50)))\n+ assert_identical(expect, actual)\n+\n+ # query single dim, multiple variables with computation\n+ actual = ds.query(x=\"(a * b) > 250\", engine=engine, parser=parser)\n+ expect = ds.isel(x=(a * b) > 250)\n+ assert_identical(expect, actual)\n+\n+ # check pandas query syntax is supported\n+ if parser == \"pandas\":\n+ actual = ds.query(x=\"(a > 5) and (b > 50)\", engine=engine, parser=parser)\n+ expect = ds.isel(x=((a > 5) & (b > 50)))\n+ assert_identical(expect, actual)\n+\n+ # query multiple dims via kwargs\n+ actual = ds.query(x=\"a > 5\", y=\"c < .5\", engine=engine, parser=parser)\n+ expect = ds.isel(x=(a > 5), y=(c < 0.5))\n+ assert_identical(expect, actual)\n+\n+ # query multiple dims via kwargs\n+ if parser == \"pandas\":\n+ actual = ds.query(\n+ x=\"a > 5\", y=\"c < .5\", z=\"d == 'bar'\", engine=engine, parser=parser\n+ )\n+ expect = ds.isel(x=(a > 5), y=(c < 0.5), z=(d == \"bar\"))\n+ assert_identical(expect, actual)\n+\n+ # query multiple dims via dict\n+ actual = ds.query(dict(x=\"a > 5\", y=\"c < .5\"), engine=engine, parser=parser)\n+ expect = ds.isel(dict(x=(a > 5), y=(c < 0.5)))\n+ assert_identical(expect, actual)\n+\n+ # query multiple dims via dict\n+ if parser == \"pandas\":\n+ actual = ds.query(\n+ dict(x=\"a > 5\", y=\"c < .5\", z=\"d == 'bar'\"),\n+ engine=engine,\n+ parser=parser,\n+ )\n+ expect = ds.isel(dict(x=(a > 5), y=(c < 0.5), z=(d == \"bar\")))\n+ assert_identical(expect, actual)\n+\n+ # test error handling\n+ with pytest.raises(ValueError):\n+ ds.query(\"a > 5\") # must be dict or kwargs\n+ with pytest.raises(ValueError):\n+ ds.query(x=(a > 5)) # must be query string\n+ with pytest.raises(IndexError):\n+ ds.query(y=\"a > 5\") # wrong length dimension\n+ with pytest.raises(IndexError):\n+ ds.query(x=\"c < .5\") # wrong length dimension\n+ with pytest.raises(IndexError):\n+ ds.query(x=\"e > 100\") # wrong number of dimensions\n+ with pytest.raises(UndefinedVariableError):\n+ ds.query(x=\"spam > 50\") # name not present\n+\n \n # Py.test tests\n \n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex 7e13c2feefe..4af9bb01208 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -138,6 +138,7 @@ Indexing\n Dataset.set_index\n Dataset.reset_index\n Dataset.reorder_levels\n+ Dataset.query\n \n Missing value handling\n ----------------------\n@@ -321,6 +322,7 @@ Indexing\n DataArray.set_index\n DataArray.reset_index\n DataArray.reorder_levels\n+ DataArray.query\n \n Missing value handling\n ----------------------\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex e0c11fefd36..fbd2617b16f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,10 @@ v0.17.1 (unreleased)\n \n New Features\n ~~~~~~~~~~~~\n+\n+- Add :py:meth:`Dataset.query` and :py:meth:`DataArray.query` which enable indexing\n+ of datasets and data arrays by evaluating query expressions against the values of the\n+ data variables (:pull:`4984`). By `Alistair Miles <https://github.com/alimanfoo>`_.\n - Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`4895`).\n By `Justus Magin <https://github.com/keewis>`_.\n - Support for `dask.graph_manipulation\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 7e13c2feefe..4af9bb01208 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -138,6 +138,7 @@ Indexing\\n Dataset.set_index\\n Dataset.reset_index\\n Dataset.reorder_levels\\n+ Dataset.query\\n \\n Missing value handling\\n ----------------------\\n@@ -321,6 +322,7 @@ Indexing\\n DataArray.set_index\\n DataArray.reset_index\\n DataArray.reorder_levels\\n+ DataArray.query\\n \\n Missing value handling\\n ----------------------\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex e0c11fefd36..fbd2617b16f 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -22,6 +22,10 @@ v0.17.1 (unreleased)\\n \\n New Features\\n ~~~~~~~~~~~~\\n+\\n+- Add :py:meth:`Dataset.query` and :py:meth:`DataArray.query` which enable indexing\\n+ of datasets and data arrays by evaluating query expressions against the values of the\\n+ data variables (:pull:`4984`). By `Alistair Miles <https://github.com/alimanfoo>`_.\\n - Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`4895`).\\n By `Justus Magin <https://github.com/keewis>`_.\\n - Support for `dask.graph_manipulation\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0018"},"base_commit":{"kind":"string","value":"daea5df23209e8b7148067fd6272e2eed9f40bf1"},"PASS2PASS":{"kind":"list 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b/doc/api.rst\n@@ -138,6 +138,7 @@ Indexing\n Dataset.set_index\n Dataset.reset_index\n Dataset.reorder_levels\n+ Dataset.query\n \n Missing value handling\n ----------------------\n@@ -321,6 +322,7 @@ Indexing\n DataArray.set_index\n DataArray.reset_index\n DataArray.reorder_levels\n+ DataArray.query\n \n Missing value handling\n ----------------------\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex e0c11fefd36..fbd2617b16f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,10 @@ v0.17.1 (unreleased)\n \n New Features\n ~~~~~~~~~~~~\n+\n+- Add :py:meth:`Dataset.query` and :py:meth:`DataArray.query` which enable indexing\n+ of datasets and data arrays by evaluating query expressions against the values of the\n+ data variables (:pull:`<PRID>`). By `<NAME>`_.\n - Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`<PRID>`).\n By `<NAME>`_.\n - Support for `dask.graph_manipulation\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 7e13c2feefe..4af9bb01208 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -138,6 +138,7 @@ Indexing\\n Dataset.set_index\\n Dataset.reset_index\\n Dataset.reorder_levels\\n+ Dataset.query\\n \\n Missing value handling\\n ----------------------\\n@@ -321,6 +322,7 @@ Indexing\\n DataArray.set_index\\n DataArray.reset_index\\n DataArray.reorder_levels\\n+ DataArray.query\\n \\n Missing value handling\\n ----------------------\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex e0c11fefd36..fbd2617b16f 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -22,6 +22,10 @@ v0.17.1 (unreleased)\\n \\n New Features\\n ~~~~~~~~~~~~\\n+\\n+- Add :py:meth:`Dataset.query` and :py:meth:`DataArray.query` which enable indexing\\n+ of datasets and data arrays by evaluating query expressions against the values of the\\n+ data variables (:pull:`<PRID>`). By `<NAME>`_.\\n - Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`<PRID>`).\\n By `<NAME>`_.\\n - Support for `dask.graph_manipulation\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex 7e13c2feefe..4af9bb01208 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -138,6 +138,7 @@ Indexing\n Dataset.set_index\n Dataset.reset_index\n Dataset.reorder_levels\n+ Dataset.query\n \n Missing value handling\n ----------------------\n@@ -321,6 +322,7 @@ Indexing\n DataArray.set_index\n DataArray.reset_index\n DataArray.reorder_levels\n+ DataArray.query\n \n Missing value handling\n ----------------------\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex e0c11fefd36..fbd2617b16f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,10 @@ v0.17.1 (unreleased)\n \n New Features\n ~~~~~~~~~~~~\n+\n+- Add :py:meth:`Dataset.query` and :py:meth:`DataArray.query` which enable indexing\n+ of datasets and data arrays by evaluating query expressions against the values of the\n+ data variables (:pull:`<PRID>`). By `<NAME>`_.\n - Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`<PRID>`).\n By `<NAME>`_.\n - Support for `dask.graph_manipulation\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'parser'}, {'type': 'field', 'name': 'parser'}, {'type': 'field', 'name': 'engine'}]\n"}}},{"rowIdx":572,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4849"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4849"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex a140d9e2b81..6288ce01803 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -179,6 +179,7 @@ Computation\n Dataset.integrate\n Dataset.map_blocks\n Dataset.polyfit\n+ Dataset.curvefit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -375,7 +376,7 @@ Computation\n DataArray.integrate\n DataArray.polyfit\n DataArray.map_blocks\n-\n+ DataArray.curvefit\n \n **Aggregation**:\n :py:attr:`~DataArray.all`\ndiff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex 28804bcba6f..2a894f72fdf 100644\n--- a/doc/user-guide/computation.rst\n+++ b/doc/user-guide/computation.rst\n@@ -444,6 +444,89 @@ The inverse operation is done with :py:meth:`~xarray.polyval`,\n .. note::\n These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n \n+\n+.. _compute.curvefit:\n+\n+Fitting arbitrary functions\n+===========================\n+\n+Xarray objects also provide an interface for fitting more complex functions using\n+:py:meth:`scipy.optimize.curve_fit`. :py:meth:`~xarray.DataArray.curvefit` accepts\n+user-defined functions and can fit along multiple coordinates.\n+\n+For example, we can fit a relationship between two ``DataArray`` objects, maintaining\n+a unique fit at each spatial coordinate but aggregating over the time dimension:\n+\n+.. ipython:: python\n+\n+ def exponential(x, a, xc):\n+ return np.exp((x - xc) / a)\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ t = np.arange(-5, 5, 0.1)\n+ X, T = np.meshgrid(x, t)\n+ Z1 = np.random.uniform(low=-5, high=5, size=X.shape)\n+ Z2 = exponential(Z1, 3, X)\n+ Z3 = exponential(Z1, 1, -X)\n+\n+ ds = xr.Dataset(\n+ data_vars=dict(\n+ var1=([\"t\", \"x\"], Z1), var2=([\"t\", \"x\"], Z2), var3=([\"t\", \"x\"], Z3)\n+ ),\n+ coords={\"t\": t, \"x\": x},\n+ )\n+ ds[[\"var2\", \"var3\"]].curvefit(\n+ coords=ds.var1,\n+ func=exponential,\n+ reduce_dims=\"t\",\n+ bounds={\"a\": (0.5, 5), \"xc\": (-5, 5)},\n+ )\n+\n+We can also fit multi-dimensional functions, and even use a wrapper function to\n+simultaneously fit a summation of several functions, such as this field containing\n+two gaussian peaks:\n+\n+.. ipython:: python\n+\n+ def gaussian_2d(coords, a, xc, yc, xalpha, yalpha):\n+ x, y = coords\n+ z = a * np.exp(\n+ -np.square(x - xc) / 2 / np.square(xalpha)\n+ - np.square(y - yc) / 2 / np.square(yalpha)\n+ )\n+ return z\n+\n+\n+ def multi_peak(coords, *args):\n+ z = np.zeros(coords[0].shape)\n+ for i in range(len(args) // 5):\n+ z += gaussian_2d(coords, *args[i * 5 : i * 5 + 5])\n+ return z\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ y = np.arange(-5, 5, 0.1)\n+ X, Y = np.meshgrid(x, y)\n+\n+ n_peaks = 2\n+ names = [\"a\", \"xc\", \"yc\", \"xalpha\", \"yalpha\"]\n+ names = [f\"{name}{i}\" for i in range(n_peaks) for name in names]\n+ Z = gaussian_2d((X, Y), 3, 1, 1, 2, 1) + gaussian_2d((X, Y), 2, -1, -2, 1, 1)\n+ Z += np.random.normal(scale=0.1, size=Z.shape)\n+\n+ da = xr.DataArray(Z, dims=[\"y\", \"x\"], coords={\"y\": y, \"x\": x})\n+ da.curvefit(\n+ coords=[\"x\", \"y\"],\n+ func=multi_peak,\n+ param_names=names,\n+ kwargs={\"maxfev\": 10000},\n+ )\n+\n+.. note::\n+ This method replicates the behavior of :py:func:`scipy.optimize.curve_fit`.\n+\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 408b59d3c6a..5e394236096 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -65,6 +65,8 @@ New Features\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\n By `Deepak Cherian <https://github.com/dcherian>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\n+- Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\n+ By `Sam Levang <https://github.com/slevang>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 1f82b48d7f8..3b15144df4e 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -4418,6 +4418,84 @@ def query(\n )\n return ds[self.name]\n \n+ def curvefit(\n+ self,\n+ coords: Union[Union[str, \"DataArray\"], Iterable[Union[str, \"DataArray\"]]],\n+ func: Callable[..., Any],\n+ reduce_dims: Union[Hashable, Iterable[Hashable]] = None,\n+ skipna: bool = True,\n+ p0: Dict[str, Any] = None,\n+ bounds: Dict[str, Any] = None,\n+ param_names: Sequence[str] = None,\n+ kwargs: Dict[str, Any] = None,\n+ ):\n+ \"\"\"\n+ Curve fitting optimization for arbitrary functions.\n+\n+ Wraps `scipy.optimize.curve_fit` with `apply_ufunc`.\n+\n+ Parameters\n+ ----------\n+ coords : DataArray, str or sequence of DataArray, str\n+ Independent coordinate(s) over which to perform the curve fitting. Must share\n+ at least one dimension with the calling object. When fitting multi-dimensional\n+ functions, supply `coords` as a sequence in the same order as arguments in\n+ `func`. To fit along existing dimensions of the calling object, `coords` can\n+ also be specified as a str or sequence of strs.\n+ func : callable\n+ User specified function in the form `f(x, *params)` which returns a numpy\n+ array of length `len(x)`. `params` are the fittable parameters which are optimized\n+ by scipy curve_fit. `x` can also be specified as a sequence containing multiple\n+ coordinates, e.g. `f((x0, x1), *params)`.\n+ reduce_dims : str or sequence of str\n+ Additional dimension(s) over which to aggregate while fitting. For example,\n+ calling `ds.curvefit(coords='time', reduce_dims=['lat', 'lon'], ...)` will\n+ aggregate all lat and lon points and fit the specified function along the\n+ time dimension.\n+ skipna : bool, optional\n+ Whether to skip missing values when fitting. Default is True.\n+ p0 : dictionary, optional\n+ Optional dictionary of parameter names to initial guesses passed to the\n+ `curve_fit` `p0` arg. If none or only some parameters are passed, the rest will\n+ be assigned initial values following the default scipy behavior.\n+ bounds : dictionary, optional\n+ Optional dictionary of parameter names to bounding values passed to the\n+ `curve_fit` `bounds` arg. If none or only some parameters are passed, the rest\n+ will be unbounded following the default scipy behavior.\n+ param_names: seq, optional\n+ Sequence of names for the fittable parameters of `func`. If not supplied,\n+ this will be automatically determined by arguments of `func`. `param_names`\n+ should be manually supplied when fitting a function that takes a variable\n+ number of parameters.\n+ kwargs : dictionary\n+ Additional keyword arguments to passed to scipy curve_fit.\n+\n+ Returns\n+ -------\n+ curvefit_results : Dataset\n+ A single dataset which contains:\n+\n+ [var]_curvefit_coefficients\n+ The coefficients of the best fit.\n+ [var]_curvefit_covariance\n+ The covariance matrix of the coefficient estimates.\n+\n+ See also\n+ --------\n+ DataArray.polyfit\n+ scipy.optimize.curve_fit\n+ \"\"\"\n+ return self._to_temp_dataset().curvefit(\n+ coords,\n+ func,\n+ reduce_dims=reduce_dims,\n+ skipna=skipna,\n+ p0=p0,\n+ bounds=bounds,\n+ param_names=param_names,\n+ kwargs=kwargs,\n+ )\n+\n # this needs to be at the end, or mypy will confuse with `str`\n # https://mypy.readthedocs.io/en/latest/common_issues.html#dealing-with-conflicting-names\n str = utils.UncachedAccessor(StringAccessor)\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex e959135e8d9..8beacbf8c42 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -1,6 +1,7 @@\n import copy\n import datetime\n import functools\n+import inspect\n import sys\n import warnings\n from collections import defaultdict\n@@ -456,6 +457,63 @@ def as_dataset(obj: Any) -> \"Dataset\":\n return obj\n \n \n+def _get_func_args(func, param_names):\n+ \"\"\"Use `inspect.signature` to try accessing `func` args. Otherwise, ensure\n+ they are provided by user.\n+ \"\"\"\n+ try:\n+ func_args = inspect.signature(func).parameters\n+ except ValueError:\n+ func_args = {}\n+ if not param_names:\n+ raise ValueError(\n+ \"Unable to inspect `func` signature, and `param_names` was not provided.\"\n+ )\n+ if param_names:\n+ params = param_names\n+ else:\n+ params = list(func_args)[1:]\n+ if any(\n+ [(p.kind in [p.VAR_POSITIONAL, p.VAR_KEYWORD]) for p in func_args.values()]\n+ ):\n+ raise ValueError(\n+ \"`param_names` must be provided because `func` takes variable length arguments.\"\n+ )\n+ return params, func_args\n+\n+\n+def _initialize_curvefit_params(params, p0, bounds, func_args):\n+ \"\"\"Set initial guess and bounds for curvefit.\n+ Priority: 1) passed args 2) func signature 3) scipy defaults\n+ \"\"\"\n+\n+ def _initialize_feasible(lb, ub):\n+ # Mimics functionality of scipy.optimize.minpack._initialize_feasible\n+ lb_finite = np.isfinite(lb)\n+ ub_finite = np.isfinite(ub)\n+ p0 = np.nansum(\n+ [\n+ 0.5 * (lb + ub) * int(lb_finite & ub_finite),\n+ (lb + 1) * int(lb_finite & ~ub_finite),\n+ (ub - 1) * int(~lb_finite & ub_finite),\n+ ]\n+ )\n+ return p0\n+\n+ param_defaults = {p: 1 for p in params}\n+ bounds_defaults = {p: (-np.inf, np.inf) for p in params}\n+ for p in params:\n+ if p in func_args and func_args[p].default is not func_args[p].empty:\n+ param_defaults[p] = func_args[p].default\n+ if p in bounds:\n+ bounds_defaults[p] = tuple(bounds[p])\n+ if param_defaults[p] < bounds[p][0] or param_defaults[p] > bounds[p][1]:\n+ param_defaults[p] = _initialize_feasible(bounds[p][0], bounds[p][1])\n+ if p in p0:\n+ param_defaults[p] = p0[p]\n+ return param_defaults, bounds_defaults\n+\n+\n class DataVariables(Mapping[Hashable, \"DataArray\"]):\n __slots__ = (\"_dataset\",)\n \n@@ -7074,5 +7132,180 @@ def query(\n # apply the selection\n return self.isel(indexers, missing_dims=missing_dims)\n \n+ def curvefit(\n+ self,\n+ coords: Union[Union[str, \"DataArray\"], Iterable[Union[str, \"DataArray\"]]],\n+ func: Callable[..., Any],\n+ reduce_dims: Union[Hashable, Iterable[Hashable]] = None,\n+ skipna: bool = True,\n+ p0: Dict[str, Any] = None,\n+ bounds: Dict[str, Any] = None,\n+ param_names: Sequence[str] = None,\n+ kwargs: Dict[str, Any] = None,\n+ ):\n+ \"\"\"\n+ Curve fitting optimization for arbitrary functions.\n+\n+ Wraps `scipy.optimize.curve_fit` with `apply_ufunc`.\n+\n+ Parameters\n+ ----------\n+ coords : DataArray, str or sequence of DataArray, str\n+ Independent coordinate(s) over which to perform the curve fitting. Must share\n+ at least one dimension with the calling object. When fitting multi-dimensional\n+ functions, supply `coords` as a sequence in the same order as arguments in\n+ `func`. To fit along existing dimensions of the calling object, `coords` can\n+ also be specified as a str or sequence of strs.\n+ func : callable\n+ User specified function in the form `f(x, *params)` which returns a numpy\n+ array of length `len(x)`. `params` are the fittable parameters which are optimized\n+ by scipy curve_fit. `x` can also be specified as a sequence containing multiple\n+ coordinates, e.g. `f((x0, x1), *params)`.\n+ reduce_dims : str or sequence of str\n+ Additional dimension(s) over which to aggregate while fitting. For example,\n+ calling `ds.curvefit(coords='time', reduce_dims=['lat', 'lon'], ...)` will\n+ aggregate all lat and lon points and fit the specified function along the\n+ time dimension.\n+ skipna : bool, optional\n+ Whether to skip missing values when fitting. Default is True.\n+ p0 : dictionary, optional\n+ Optional dictionary of parameter names to initial guesses passed to the\n+ `curve_fit` `p0` arg. If none or only some parameters are passed, the rest will\n+ be assigned initial values following the default scipy behavior.\n+ bounds : dictionary, optional\n+ Optional dictionary of parameter names to bounding values passed to the\n+ `curve_fit` `bounds` arg. If none or only some parameters are passed, the rest\n+ will be unbounded following the default scipy behavior.\n+ param_names: seq, optional\n+ Sequence of names for the fittable parameters of `func`. If not supplied,\n+ this will be automatically determined by arguments of `func`. `param_names`\n+ should be manually supplied when fitting a function that takes a variable\n+ number of parameters.\n+ kwargs : dictionary\n+ Additional keyword arguments to passed to scipy curve_fit.\n+\n+ Returns\n+ -------\n+ curvefit_results : Dataset\n+ A single dataset which contains:\n+\n+ [var]_curvefit_coefficients\n+ The coefficients of the best fit.\n+ [var]_curvefit_covariance\n+ The covariance matrix of the coefficient estimates.\n+\n+ See also\n+ --------\n+ Dataset.polyfit\n+ scipy.optimize.curve_fit\n+ \"\"\"\n+ from scipy.optimize import curve_fit\n+\n+ if p0 is None:\n+ p0 = {}\n+ if bounds is None:\n+ bounds = {}\n+ if kwargs is None:\n+ kwargs = {}\n+\n+ if not reduce_dims:\n+ reduce_dims_ = []\n+ elif isinstance(reduce_dims, str) or not isinstance(reduce_dims, Iterable):\n+ reduce_dims_ = [reduce_dims]\n+ else:\n+ reduce_dims_ = list(reduce_dims)\n+\n+ if (\n+ isinstance(coords, str)\n+ or isinstance(coords, xr.DataArray)\n+ or not isinstance(coords, Iterable)\n+ ):\n+ coords = [coords]\n+ coords_ = [self[coord] if isinstance(coord, str) else coord for coord in coords]\n+\n+ # Determine whether any coords are dims on self\n+ for coord in coords_:\n+ reduce_dims_ += [c for c in self.dims if coord.equals(self[c])]\n+ reduce_dims_ = list(set(reduce_dims_))\n+ preserved_dims = list(set(self.dims) - set(reduce_dims_))\n+ if not reduce_dims_:\n+ raise ValueError(\n+ \"No arguments to `coords` were identified as a dimension on the calling \"\n+ \"object, and no dims were supplied to `reduce_dims`. This would result \"\n+ \"in fitting on scalar data.\"\n+ )\n+\n+ # Broadcast all coords with each other\n+ coords_ = xr.broadcast(*coords_)\n+ coords_ = [\n+ coord.broadcast_like(self, exclude=preserved_dims) for coord in coords_\n+ ]\n+\n+ params, func_args = _get_func_args(func, param_names)\n+ param_defaults, bounds_defaults = _initialize_curvefit_params(\n+ params, p0, bounds, func_args\n+ )\n+ n_params = len(params)\n+ kwargs.setdefault(\"p0\", [param_defaults[p] for p in params])\n+ kwargs.setdefault(\n+ \"bounds\",\n+ [\n+ [bounds_defaults[p][0] for p in params],\n+ [bounds_defaults[p][1] for p in params],\n+ ],\n+ )\n+\n+ def _wrapper(Y, *coords_, **kwargs):\n+ # Wrap curve_fit with raveled coordinates and pointwise NaN handling\n+ x = np.vstack([c.ravel() for c in coords_])\n+ y = Y.ravel()\n+ if skipna:\n+ mask = np.all([np.any(~np.isnan(x), axis=0), ~np.isnan(y)], axis=0)\n+ x = x[:, mask]\n+ y = y[mask]\n+ if not len(y):\n+ popt = np.full([n_params], np.nan)\n+ pcov = np.full([n_params, n_params], np.nan)\n+ return popt, pcov\n+ x = np.squeeze(x)\n+ popt, pcov = curve_fit(func, x, y, **kwargs)\n+ return popt, pcov\n+\n+ result = xr.Dataset()\n+ for name, da in self.data_vars.items():\n+ if name is xr.core.dataarray._THIS_ARRAY:\n+ name = \"\"\n+ else:\n+ name = f\"{str(name)}_\"\n+\n+ popt, pcov = xr.apply_ufunc(\n+ _wrapper,\n+ da,\n+ *coords_,\n+ vectorize=True,\n+ dask=\"parallelized\",\n+ input_core_dims=[reduce_dims_ for d in range(len(coords_) + 1)],\n+ output_core_dims=[[\"param\"], [\"cov_i\", \"cov_j\"]],\n+ dask_gufunc_kwargs={\n+ \"output_sizes\": {\n+ \"param\": n_params,\n+ \"cov_i\": n_params,\n+ \"cov_j\": n_params,\n+ },\n+ },\n+ output_dtypes=(np.float64, np.float64),\n+ exclude_dims=set(reduce_dims_),\n+ kwargs=kwargs,\n+ )\n+ result[name + \"curvefit_coefficients\"] = popt\n+ result[name + \"curvefit_covariance\"] = pcov\n+\n+ result = result.assign_coords(\n+ {\"param\": params, \"cov_i\": params, \"cov_j\": params}\n+ )\n+ result.attrs = self.attrs.copy()\n+\n+ return result\n+\n \n ops.inject_all_ops_and_reduce_methods(Dataset, array_only=False)\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex 20e357543d6..c18f9acfca1 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -4690,6 +4690,60 @@ def test_query(self, backend, engine, parser):\n with pytest.raises(UndefinedVariableError):\n aa.query(x=\"spam > 50\") # name not present\n \n+ @requires_scipy\n+ @pytest.mark.parametrize(\"use_dask\", [True, False])\n+ def test_curvefit(self, use_dask):\n+ if use_dask and not has_dask:\n+ pytest.skip(\"requires dask\")\n+\n+ def exp_decay(t, n0, tau=1):\n+ return n0 * np.exp(-t / tau)\n+\n+ t = np.arange(0, 5, 0.5)\n+ da = DataArray(\n+ np.stack([exp_decay(t, 3, 3), exp_decay(t, 5, 4), np.nan * t], axis=-1),\n+ dims=(\"t\", \"x\"),\n+ coords={\"t\": t, \"x\": [0, 1, 2]},\n+ )\n+ da[0, 0] = np.nan\n+\n+ expected = DataArray(\n+ [[3, 3], [5, 4], [np.nan, np.nan]],\n+ dims=(\"x\", \"param\"),\n+ coords={\"x\": [0, 1, 2], \"param\": [\"n0\", \"tau\"]},\n+ )\n+\n+ if use_dask:\n+ da = da.chunk({\"x\": 1})\n+\n+ fit = da.curvefit(\n+ coords=[da.t], func=exp_decay, p0={\"n0\": 4}, bounds={\"tau\": [2, 6]}\n+ )\n+ assert_allclose(fit.curvefit_coefficients, expected, rtol=1e-3)\n+\n+ da = da.compute()\n+ fit = da.curvefit(coords=\"t\", func=np.power, reduce_dims=\"x\", param_names=[\"a\"])\n+ assert \"a\" in fit.param\n+ assert \"x\" not in fit.dims\n+\n+ def test_curvefit_helpers(self):\n+ def exp_decay(t, n0, tau=1):\n+ return n0 * np.exp(-t / tau)\n+\n+ params, func_args = xr.core.dataset._get_func_args(exp_decay, [])\n+ assert params == [\"n0\", \"tau\"]\n+ param_defaults, bounds_defaults = xr.core.dataset._initialize_curvefit_params(\n+ params, {\"n0\": 4}, {\"tau\": [5, np.inf]}, func_args\n+ )\n+ assert param_defaults == {\"n0\": 4, \"tau\": 6}\n+ assert bounds_defaults == {\"n0\": (-np.inf, np.inf), \"tau\": (5, np.inf)}\n+\n+ param_names = [\"a\"]\n+ params, func_args = xr.core.dataset._get_func_args(np.power, param_names)\n+ assert params == param_names\n+ with pytest.raises(ValueError):\n+ xr.core.dataset._get_func_args(np.power, [])\n+\n \n class TestReduce:\n @pytest.fixture(autouse=True)\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex a140d9e2b81..6288ce01803 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -179,6 +179,7 @@ Computation\n Dataset.integrate\n Dataset.map_blocks\n Dataset.polyfit\n+ Dataset.curvefit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -375,7 +376,7 @@ Computation\n DataArray.integrate\n DataArray.polyfit\n DataArray.map_blocks\n-\n+ DataArray.curvefit\n \n **Aggregation**:\n :py:attr:`~DataArray.all`\n"},{"path":"doc/user-guide/computation.rst","old_path":"a/doc/user-guide/computation.rst","new_path":"b/doc/user-guide/computation.rst","metadata":"diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex 28804bcba6f..2a894f72fdf 100644\n--- a/doc/user-guide/computation.rst\n+++ b/doc/user-guide/computation.rst\n@@ -444,6 +444,89 @@ The inverse operation is done with :py:meth:`~xarray.polyval`,\n .. note::\n These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n \n+\n+.. _compute.curvefit:\n+\n+Fitting arbitrary functions\n+===========================\n+\n+Xarray objects also provide an interface for fitting more complex functions using\n+:py:meth:`scipy.optimize.curve_fit`. :py:meth:`~xarray.DataArray.curvefit` accepts\n+user-defined functions and can fit along multiple coordinates.\n+\n+For example, we can fit a relationship between two ``DataArray`` objects, maintaining\n+a unique fit at each spatial coordinate but aggregating over the time dimension:\n+\n+.. ipython:: python\n+\n+ def exponential(x, a, xc):\n+ return np.exp((x - xc) / a)\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ t = np.arange(-5, 5, 0.1)\n+ X, T = np.meshgrid(x, t)\n+ Z1 = np.random.uniform(low=-5, high=5, size=X.shape)\n+ Z2 = exponential(Z1, 3, X)\n+ Z3 = exponential(Z1, 1, -X)\n+\n+ ds = xr.Dataset(\n+ data_vars=dict(\n+ var1=([\"t\", \"x\"], Z1), var2=([\"t\", \"x\"], Z2), var3=([\"t\", \"x\"], Z3)\n+ ),\n+ coords={\"t\": t, \"x\": x},\n+ )\n+ ds[[\"var2\", \"var3\"]].curvefit(\n+ coords=ds.var1,\n+ func=exponential,\n+ reduce_dims=\"t\",\n+ bounds={\"a\": (0.5, 5), \"xc\": (-5, 5)},\n+ )\n+\n+We can also fit multi-dimensional functions, and even use a wrapper function to\n+simultaneously fit a summation of several functions, such as this field containing\n+two gaussian peaks:\n+\n+.. ipython:: python\n+\n+ def gaussian_2d(coords, a, xc, yc, xalpha, yalpha):\n+ x, y = coords\n+ z = a * np.exp(\n+ -np.square(x - xc) / 2 / np.square(xalpha)\n+ - np.square(y - yc) / 2 / np.square(yalpha)\n+ )\n+ return z\n+\n+\n+ def multi_peak(coords, *args):\n+ z = np.zeros(coords[0].shape)\n+ for i in range(len(args) // 5):\n+ z += gaussian_2d(coords, *args[i * 5 : i * 5 + 5])\n+ return z\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ y = np.arange(-5, 5, 0.1)\n+ X, Y = np.meshgrid(x, y)\n+\n+ n_peaks = 2\n+ names = [\"a\", \"xc\", \"yc\", \"xalpha\", \"yalpha\"]\n+ names = [f\"{name}{i}\" for i in range(n_peaks) for name in names]\n+ Z = gaussian_2d((X, Y), 3, 1, 1, 2, 1) + gaussian_2d((X, Y), 2, -1, -2, 1, 1)\n+ Z += np.random.normal(scale=0.1, size=Z.shape)\n+\n+ da = xr.DataArray(Z, dims=[\"y\", \"x\"], coords={\"y\": y, \"x\": x})\n+ da.curvefit(\n+ coords=[\"x\", \"y\"],\n+ func=multi_peak,\n+ param_names=names,\n+ kwargs={\"maxfev\": 10000},\n+ )\n+\n+.. note::\n+ This method replicates the behavior of :py:func:`scipy.optimize.curve_fit`.\n+\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 408b59d3c6a..5e394236096 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -65,6 +65,8 @@ New Features\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\n By `Deepak Cherian <https://github.com/dcherian>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\n+- Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\n+ By `Sam Levang <https://github.com/slevang>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex a140d9e2b81..6288ce01803 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -179,6 +179,7 @@ Computation\\n Dataset.integrate\\n Dataset.map_blocks\\n Dataset.polyfit\\n+ Dataset.curvefit\\n \\n **Aggregation**:\\n :py:attr:`~Dataset.all`\\n@@ -375,7 +376,7 @@ Computation\\n DataArray.integrate\\n DataArray.polyfit\\n DataArray.map_blocks\\n-\\n+ DataArray.curvefit\\n \\n **Aggregation**:\\n :py:attr:`~DataArray.all`\\n\"\n },\n {\n \"path\": \"doc/user-guide/computation.rst\",\n \"old_path\": \"a/doc/user-guide/computation.rst\",\n \"new_path\": \"b/doc/user-guide/computation.rst\",\n \"metadata\": \"diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\\nindex 28804bcba6f..2a894f72fdf 100644\\n--- a/doc/user-guide/computation.rst\\n+++ b/doc/user-guide/computation.rst\\n@@ -444,6 +444,89 @@ The inverse operation is done with :py:meth:`~xarray.polyval`,\\n .. note::\\n These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\\n \\n+\\n+.. _compute.curvefit:\\n+\\n+Fitting arbitrary functions\\n+===========================\\n+\\n+Xarray objects also provide an interface for fitting more complex functions using\\n+:py:meth:`scipy.optimize.curve_fit`. :py:meth:`~xarray.DataArray.curvefit` accepts\\n+user-defined functions and can fit along multiple coordinates.\\n+\\n+For example, we can fit a relationship between two ``DataArray`` objects, maintaining\\n+a unique fit at each spatial coordinate but aggregating over the time dimension:\\n+\\n+.. ipython:: python\\n+\\n+ def exponential(x, a, xc):\\n+ return np.exp((x - xc) / a)\\n+\\n+\\n+ x = np.arange(-5, 5, 0.1)\\n+ t = np.arange(-5, 5, 0.1)\\n+ X, T = np.meshgrid(x, t)\\n+ Z1 = np.random.uniform(low=-5, high=5, size=X.shape)\\n+ Z2 = exponential(Z1, 3, X)\\n+ Z3 = exponential(Z1, 1, -X)\\n+\\n+ ds = xr.Dataset(\\n+ data_vars=dict(\\n+ var1=([\\\"t\\\", \\\"x\\\"], Z1), var2=([\\\"t\\\", \\\"x\\\"], Z2), var3=([\\\"t\\\", \\\"x\\\"], Z3)\\n+ ),\\n+ coords={\\\"t\\\": t, \\\"x\\\": x},\\n+ )\\n+ ds[[\\\"var2\\\", \\\"var3\\\"]].curvefit(\\n+ coords=ds.var1,\\n+ func=exponential,\\n+ reduce_dims=\\\"t\\\",\\n+ bounds={\\\"a\\\": (0.5, 5), \\\"xc\\\": (-5, 5)},\\n+ )\\n+\\n+We can also fit multi-dimensional functions, and even use a wrapper function to\\n+simultaneously fit a summation of several functions, such as this field containing\\n+two gaussian peaks:\\n+\\n+.. ipython:: python\\n+\\n+ def gaussian_2d(coords, a, xc, yc, xalpha, yalpha):\\n+ x, y = coords\\n+ z = a * np.exp(\\n+ -np.square(x - xc) / 2 / np.square(xalpha)\\n+ - np.square(y - yc) / 2 / np.square(yalpha)\\n+ )\\n+ return z\\n+\\n+\\n+ def multi_peak(coords, *args):\\n+ z = np.zeros(coords[0].shape)\\n+ for i in range(len(args) // 5):\\n+ z += gaussian_2d(coords, *args[i * 5 : i * 5 + 5])\\n+ return z\\n+\\n+\\n+ x = np.arange(-5, 5, 0.1)\\n+ y = np.arange(-5, 5, 0.1)\\n+ X, Y = np.meshgrid(x, y)\\n+\\n+ n_peaks = 2\\n+ names = [\\\"a\\\", \\\"xc\\\", \\\"yc\\\", \\\"xalpha\\\", \\\"yalpha\\\"]\\n+ names = [f\\\"{name}{i}\\\" for i in range(n_peaks) for name in names]\\n+ Z = gaussian_2d((X, Y), 3, 1, 1, 2, 1) + gaussian_2d((X, Y), 2, -1, -2, 1, 1)\\n+ Z += np.random.normal(scale=0.1, size=Z.shape)\\n+\\n+ da = xr.DataArray(Z, dims=[\\\"y\\\", \\\"x\\\"], coords={\\\"y\\\": y, \\\"x\\\": x})\\n+ da.curvefit(\\n+ coords=[\\\"x\\\", \\\"y\\\"],\\n+ func=multi_peak,\\n+ param_names=names,\\n+ kwargs={\\\"maxfev\\\": 10000},\\n+ )\\n+\\n+.. note::\\n+ This method replicates the behavior of :py:func:`scipy.optimize.curve_fit`.\\n+\\n+\\n .. _compute.broadcasting:\\n \\n Broadcasting by dimension name\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 408b59d3c6a..5e394236096 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -65,6 +65,8 @@ New Features\\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\\n By `Deepak Cherian <https://github.com/dcherian>`_.\\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\\n+- Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\\n+ By `Sam Levang <https://github.com/slevang>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0018"},"base_commit":{"kind":"string","value":"ba47216ec1cd2f170fd85a10f232be7bf3ecc578"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataarray.py::test_rolling_reduce[mean-4-3-True-1]\",\n \"xarray/tests/test_dataarray.py::test_weakref\",\n \"xarray/tests/test_dataarray.py::TestReduce3D::test_argmax_dim[x1-minindices_x1-minindices_y1-minindices_z1-minindices_xy1-minindices_xz1-minindices_yz1-minindices_xyz1-maxindices_x1-maxindices_y1-maxindices_z1-maxindices_xy1-maxindices_xz1-maxindices_yz1-maxindices_xyz1-nanindices_x1-nanindices_y1-nanindices_z1-nanindices_xy1-nanindices_xz1-nanindices_yz1-nanindices_xyz1]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_math_name\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_dims\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[max-4-None-False-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-1-False-2]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_setattr_raises\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_sel_drop\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_helpers"],"string":"[\n \"xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_helpers\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"func_args\"\n },\n {\n \"type\": \"field\",\n \"name\": \"param_defaults\"\n },\n {\n \"type\": \"field\",\n \"name\": \"_get_func_args\"\n },\n {\n \"type\": \"function\",\n \"name\": \"_initialize_curvefit_params\"\n },\n {\n \"type\": \"function\",\n \"name\": \"_get_func_args\"\n },\n {\n \"type\": \"field\",\n \"name\": \"_initialize_curvefit_params\"\n },\n {\n \"type\": \"field\",\n \"name\": \"p0\"\n },\n {\n \"type\": \"field\",\n \"name\": \"inf\"\n },\n {\n \"type\": \"field\",\n \"name\": \"bounds_defaults\"\n },\n {\n \"type\": \"field\",\n \"name\": \"p0\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex a140d9e2b81..6288ce01803 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -179,6 +179,7 @@ Computation\n Dataset.integrate\n Dataset.map_blocks\n Dataset.polyfit\n+ Dataset.curvefit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -375,7 +376,7 @@ Computation\n DataArray.integrate\n DataArray.polyfit\n DataArray.map_blocks\n-\n+ DataArray.curvefit\n \n **Aggregation**:\n :py:attr:`~DataArray.all`\n"},{"path":"doc/user-guide/computation.rst","old_path":"a/doc/user-guide/computation.rst","new_path":"b/doc/user-guide/computation.rst","metadata":"diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex 28804bcba6f..2a894f72fdf 100644\n--- a/doc/user-guide/computation.rst\n+++ b/doc/user-guide/computation.rst\n@@ -444,6 +444,89 @@ The inverse operation is done with :py:meth:`~xarray.polyval`,\n .. note::\n These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n \n+\n+.. _compute.curvefit:\n+\n+Fitting arbitrary functions\n+===========================\n+\n+Xarray objects also provide an interface for fitting more complex functions using\n+:py:meth:`scipy.optimize.curve_fit`. :py:meth:`~xarray.DataArray.curvefit` accepts\n+user-defined functions and can fit along multiple coordinates.\n+\n+For example, we can fit a relationship between two ``DataArray`` objects, maintaining\n+a unique fit at each spatial coordinate but aggregating over the time dimension:\n+\n+.. ipython:: python\n+\n+ def exponential(x, a, xc):\n+ return np.exp((x - xc) / a)\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ t = np.arange(-5, 5, 0.1)\n+ X, T = np.meshgrid(x, t)\n+ Z1 = np.random.uniform(low=-5, high=5, size=X.shape)\n+ Z2 = exponential(Z1, 3, X)\n+ Z3 = exponential(Z1, 1, -X)\n+\n+ ds = xr.Dataset(\n+ data_vars=dict(\n+ var1=([\"t\", \"x\"], Z1), var2=([\"t\", \"x\"], Z2), var3=([\"t\", \"x\"], Z3)\n+ ),\n+ coords={\"t\": t, \"x\": x},\n+ )\n+ ds[[\"var2\", \"var3\"]].curvefit(\n+ coords=ds.var1,\n+ func=exponential,\n+ reduce_dims=\"t\",\n+ bounds={\"a\": (0.5, 5), \"xc\": (-5, 5)},\n+ )\n+\n+We can also fit multi-dimensional functions, and even use a wrapper function to\n+simultaneously fit a summation of several functions, such as this field containing\n+two gaussian peaks:\n+\n+.. ipython:: python\n+\n+ def gaussian_2d(coords, a, xc, yc, xalpha, yalpha):\n+ x, y = coords\n+ z = a * np.exp(\n+ -np.square(x - xc) / 2 / np.square(xalpha)\n+ - np.square(y - yc) / 2 / np.square(yalpha)\n+ )\n+ return z\n+\n+\n+ def multi_peak(coords, *args):\n+ z = np.zeros(coords[0].shape)\n+ for i in range(len(args) // 5):\n+ z += gaussian_2d(coords, *args[i * 5 : i * 5 + 5])\n+ return z\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ y = np.arange(-5, 5, 0.1)\n+ X, Y = np.meshgrid(x, y)\n+\n+ n_peaks = 2\n+ names = [\"a\", \"xc\", \"yc\", \"xalpha\", \"yalpha\"]\n+ names = [f\"{name}{i}\" for i in range(n_peaks) for name in names]\n+ Z = gaussian_2d((X, Y), 3, 1, 1, 2, 1) + gaussian_2d((X, Y), 2, -1, -2, 1, 1)\n+ Z += np.random.normal(scale=0.1, size=Z.shape)\n+\n+ da = xr.DataArray(Z, dims=[\"y\", \"x\"], coords={\"y\": y, \"x\": x})\n+ da.curvefit(\n+ coords=[\"x\", \"y\"],\n+ func=multi_peak,\n+ param_names=names,\n+ kwargs={\"maxfev\": 10000},\n+ )\n+\n+.. note::\n+ This method replicates the behavior of :py:func:`scipy.optimize.curve_fit`.\n+\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 408b59d3c6a..5e394236096 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -65,6 +65,8 @@ New Features\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\n By `<NAME>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\n+- Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex a140d9e2b81..6288ce01803 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -179,6 +179,7 @@ Computation\\n Dataset.integrate\\n Dataset.map_blocks\\n Dataset.polyfit\\n+ Dataset.curvefit\\n \\n **Aggregation**:\\n :py:attr:`~Dataset.all`\\n@@ -375,7 +376,7 @@ Computation\\n DataArray.integrate\\n DataArray.polyfit\\n DataArray.map_blocks\\n-\\n+ DataArray.curvefit\\n \\n **Aggregation**:\\n :py:attr:`~DataArray.all`\\n\"\n },\n {\n \"path\": \"doc/user-guide/computation.rst\",\n \"old_path\": \"a/doc/user-guide/computation.rst\",\n \"new_path\": \"b/doc/user-guide/computation.rst\",\n \"metadata\": \"diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\\nindex 28804bcba6f..2a894f72fdf 100644\\n--- a/doc/user-guide/computation.rst\\n+++ b/doc/user-guide/computation.rst\\n@@ -444,6 +444,89 @@ The inverse operation is done with :py:meth:`~xarray.polyval`,\\n .. note::\\n These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\\n \\n+\\n+.. _compute.curvefit:\\n+\\n+Fitting arbitrary functions\\n+===========================\\n+\\n+Xarray objects also provide an interface for fitting more complex functions using\\n+:py:meth:`scipy.optimize.curve_fit`. :py:meth:`~xarray.DataArray.curvefit` accepts\\n+user-defined functions and can fit along multiple coordinates.\\n+\\n+For example, we can fit a relationship between two ``DataArray`` objects, maintaining\\n+a unique fit at each spatial coordinate but aggregating over the time dimension:\\n+\\n+.. ipython:: python\\n+\\n+ def exponential(x, a, xc):\\n+ return np.exp((x - xc) / a)\\n+\\n+\\n+ x = np.arange(-5, 5, 0.1)\\n+ t = np.arange(-5, 5, 0.1)\\n+ X, T = np.meshgrid(x, t)\\n+ Z1 = np.random.uniform(low=-5, high=5, size=X.shape)\\n+ Z2 = exponential(Z1, 3, X)\\n+ Z3 = exponential(Z1, 1, -X)\\n+\\n+ ds = xr.Dataset(\\n+ data_vars=dict(\\n+ var1=([\\\"t\\\", \\\"x\\\"], Z1), var2=([\\\"t\\\", \\\"x\\\"], Z2), var3=([\\\"t\\\", \\\"x\\\"], Z3)\\n+ ),\\n+ coords={\\\"t\\\": t, \\\"x\\\": x},\\n+ )\\n+ ds[[\\\"var2\\\", \\\"var3\\\"]].curvefit(\\n+ coords=ds.var1,\\n+ func=exponential,\\n+ reduce_dims=\\\"t\\\",\\n+ bounds={\\\"a\\\": (0.5, 5), \\\"xc\\\": (-5, 5)},\\n+ )\\n+\\n+We can also fit multi-dimensional functions, and even use a wrapper function to\\n+simultaneously fit a summation of several functions, such as this field containing\\n+two gaussian peaks:\\n+\\n+.. ipython:: python\\n+\\n+ def gaussian_2d(coords, a, xc, yc, xalpha, yalpha):\\n+ x, y = coords\\n+ z = a * np.exp(\\n+ -np.square(x - xc) / 2 / np.square(xalpha)\\n+ - np.square(y - yc) / 2 / np.square(yalpha)\\n+ )\\n+ return z\\n+\\n+\\n+ def multi_peak(coords, *args):\\n+ z = np.zeros(coords[0].shape)\\n+ for i in range(len(args) // 5):\\n+ z += gaussian_2d(coords, *args[i * 5 : i * 5 + 5])\\n+ return z\\n+\\n+\\n+ x = np.arange(-5, 5, 0.1)\\n+ y = np.arange(-5, 5, 0.1)\\n+ X, Y = np.meshgrid(x, y)\\n+\\n+ n_peaks = 2\\n+ names = [\\\"a\\\", \\\"xc\\\", \\\"yc\\\", \\\"xalpha\\\", \\\"yalpha\\\"]\\n+ names = [f\\\"{name}{i}\\\" for i in range(n_peaks) for name in names]\\n+ Z = gaussian_2d((X, Y), 3, 1, 1, 2, 1) + gaussian_2d((X, Y), 2, -1, -2, 1, 1)\\n+ Z += np.random.normal(scale=0.1, size=Z.shape)\\n+\\n+ da = xr.DataArray(Z, dims=[\\\"y\\\", \\\"x\\\"], coords={\\\"y\\\": y, \\\"x\\\": x})\\n+ da.curvefit(\\n+ coords=[\\\"x\\\", \\\"y\\\"],\\n+ func=multi_peak,\\n+ param_names=names,\\n+ kwargs={\\\"maxfev\\\": 10000},\\n+ )\\n+\\n+.. note::\\n+ This method replicates the behavior of :py:func:`scipy.optimize.curve_fit`.\\n+\\n+\\n .. _compute.broadcasting:\\n \\n Broadcasting by dimension name\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 408b59d3c6a..5e394236096 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -65,6 +65,8 @@ New Features\\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\\n By `<NAME>`_.\\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\\n+- Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\\n+ By `<NAME>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex a140d9e2b81..6288ce01803 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -179,6 +179,7 @@ Computation\n Dataset.integrate\n Dataset.map_blocks\n Dataset.polyfit\n+ Dataset.curvefit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -375,7 +376,7 @@ Computation\n DataArray.integrate\n DataArray.polyfit\n DataArray.map_blocks\n-\n+ DataArray.curvefit\n \n **Aggregation**:\n :py:attr:`~DataArray.all`\n\ndiff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex 28804bcba6f..2a894f72fdf 100644\n--- a/doc/user-guide/computation.rst\n+++ b/doc/user-guide/computation.rst\n@@ -444,6 +444,89 @@ The inverse operation is done with :py:meth:`~xarray.polyval`,\n .. note::\n These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n \n+\n+.. _compute.curvefit:\n+\n+Fitting arbitrary functions\n+===========================\n+\n+Xarray objects also provide an interface for fitting more complex functions using\n+:py:meth:`scipy.optimize.curve_fit`. :py:meth:`~xarray.DataArray.curvefit` accepts\n+user-defined functions and can fit along multiple coordinates.\n+\n+For example, we can fit a relationship between two ``DataArray`` objects, maintaining\n+a unique fit at each spatial coordinate but aggregating over the time dimension:\n+\n+.. ipython:: python\n+\n+ def exponential(x, a, xc):\n+ return np.exp((x - xc) / a)\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ t = np.arange(-5, 5, 0.1)\n+ X, T = np.meshgrid(x, t)\n+ Z1 = np.random.uniform(low=-5, high=5, size=X.shape)\n+ Z2 = exponential(Z1, 3, X)\n+ Z3 = exponential(Z1, 1, -X)\n+\n+ ds = xr.Dataset(\n+ data_vars=dict(\n+ var1=([\"t\", \"x\"], Z1), var2=([\"t\", \"x\"], Z2), var3=([\"t\", \"x\"], Z3)\n+ ),\n+ coords={\"t\": t, \"x\": x},\n+ )\n+ ds[[\"var2\", \"var3\"]].curvefit(\n+ coords=ds.var1,\n+ func=exponential,\n+ reduce_dims=\"t\",\n+ bounds={\"a\": (0.5, 5), \"xc\": (-5, 5)},\n+ )\n+\n+We can also fit multi-dimensional functions, and even use a wrapper function to\n+simultaneously fit a summation of several functions, such as this field containing\n+two gaussian peaks:\n+\n+.. ipython:: python\n+\n+ def gaussian_2d(coords, a, xc, yc, xalpha, yalpha):\n+ x, y = coords\n+ z = a * np.exp(\n+ -np.square(x - xc) / 2 / np.square(xalpha)\n+ - np.square(y - yc) / 2 / np.square(yalpha)\n+ )\n+ return z\n+\n+\n+ def multi_peak(coords, *args):\n+ z = np.zeros(coords[0].shape)\n+ for i in range(len(args) // 5):\n+ z += gaussian_2d(coords, *args[i * 5 : i * 5 + 5])\n+ return z\n+\n+\n+ x = np.arange(-5, 5, 0.1)\n+ y = np.arange(-5, 5, 0.1)\n+ X, Y = np.meshgrid(x, y)\n+\n+ n_peaks = 2\n+ names = [\"a\", \"xc\", \"yc\", \"xalpha\", \"yalpha\"]\n+ names = [f\"{name}{i}\" for i in range(n_peaks) for name in names]\n+ Z = gaussian_2d((X, Y), 3, 1, 1, 2, 1) + gaussian_2d((X, Y), 2, -1, -2, 1, 1)\n+ Z += np.random.normal(scale=0.1, size=Z.shape)\n+\n+ da = xr.DataArray(Z, dims=[\"y\", \"x\"], coords={\"y\": y, \"x\": x})\n+ da.curvefit(\n+ coords=[\"x\", \"y\"],\n+ func=multi_peak,\n+ param_names=names,\n+ kwargs={\"maxfev\": 10000},\n+ )\n+\n+.. note::\n+ This method replicates the behavior of :py:func:`scipy.optimize.curve_fit`.\n+\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 408b59d3c6a..5e394236096 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -65,6 +65,8 @@ New Features\n :py:meth:`~pandas.core.groupby.GroupBy.get_group`.\n By `<NAME>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\n+- Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'func_args'}, {'type': 'field', 'name': 'param_defaults'}, {'type': 'field', 'name': '_get_func_args'}, {'type': 'function', 'name': '_initialize_curvefit_params'}, {'type': 'function', 'name': '_get_func_args'}, {'type': 'field', 'name': '_initialize_curvefit_params'}, {'type': 'field', 'name': 'p0'}, {'type': 'field', 'name': 'inf'}, {'type': 'field', 'name': 'bounds_defaults'}, {'type': 'field', 'name': 'p0'}]\n"}}},{"rowIdx":573,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4827"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4827"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4300f1b188a..b59ed6363dc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -60,6 +60,10 @@ New Features\n By `Maximilian Roos <https://github.com/max-sixty>`_.\n \n - Performance improvement when constructing DataArrays. Significantly speeds up repr for Datasets with large number of variables.\n+ By `Deepak Cherian <https://github.com/dcherian>`_\n+- add ``\"drop_conflicts\"`` to the strategies supported by the ``combine_attrs`` kwarg\n+ (:issue:`4749`, :pull:`4827`).\n+ By `Justus Magin <https://github.com/keewis>`_.\n By `Deepak Cherian <https://github.com/dcherian>`_.\n - :py:meth:`DataArray.swap_dims` & :py:meth:`Dataset.swap_dims` now accept dims\n in the form of kwargs as well as a dict, like most similar methods.\ndiff --git a/xarray/core/combine.py b/xarray/core/combine.py\nindex 86ed1870302..573247937b7 100644\n--- a/xarray/core/combine.py\n+++ b/xarray/core/combine.py\n@@ -412,14 +412,16 @@ def combine_nested(\n - \"override\": if indexes are of same size, rewrite indexes to be\n those of the first object with that dimension. Indexes for the same\n dimension must have the same size in all objects.\n- combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"override\"}, \\\n- default: \"drop\"\n+ combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"drop_conflicts\", \\\n+ \"override\"}, default: \"drop\"\n String indicating how to combine attrs of the objects being merged:\n \n - \"drop\": empty attrs on returned Dataset.\n - \"identical\": all attrs must be the same on every object.\n - \"no_conflicts\": attrs from all objects are combined, any that have\n the same name must also have the same value.\n+ - \"drop_conflicts\": attrs from all objects are combined, any that have\n+ the same name but different values are dropped.\n - \"override\": skip comparing and copy attrs from the first dataset to\n the result.\n \n@@ -625,14 +627,16 @@ def combine_by_coords(\n - \"override\": if indexes are of same size, rewrite indexes to be\n those of the first object with that dimension. Indexes for the same\n dimension must have the same size in all objects.\n- combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"override\"}, \\\n- default: \"drop\"\n+ combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"drop_conflicts\", \\\n+ \"override\"}, default: \"drop\"\n String indicating how to combine attrs of the objects being merged:\n \n - \"drop\": empty attrs on returned Dataset.\n - \"identical\": all attrs must be the same on every object.\n - \"no_conflicts\": attrs from all objects are combined, any that have\n the same name must also have the same value.\n+ - \"drop_conflicts\": attrs from all objects are combined, any that have\n+ the same name but different values are dropped.\n - \"override\": skip comparing and copy attrs from the first dataset to\n the result.\n \ndiff --git a/xarray/core/concat.py b/xarray/core/concat.py\nindex 5cda5aa903c..7a958eb1404 100644\n--- a/xarray/core/concat.py\n+++ b/xarray/core/concat.py\n@@ -142,14 +142,16 @@ def concat(\n - \"override\": if indexes are of same size, rewrite indexes to be\n those of the first object with that dimension. Indexes for the same\n dimension must have the same size in all objects.\n- combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"override\"}, \\\n- default: \"override\"\n+ combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"drop_conflicts\", \\\n+ \"override\"}, default: \"override\"\n String indicating how to combine attrs of the objects being merged:\n \n - \"drop\": empty attrs on returned Dataset.\n - \"identical\": all attrs must be the same on every object.\n - \"no_conflicts\": attrs from all objects are combined, any that have\n the same name must also have the same value.\n+ - \"drop_conflicts\": attrs from all objects are combined, any that have\n+ the same name but different values are dropped.\n - \"override\": skip comparing and copy attrs from the first dataset to\n the result.\n \ndiff --git a/xarray/core/merge.py b/xarray/core/merge.py\nindex d29a9e1ff02..14beeff3db5 100644\n--- a/xarray/core/merge.py\n+++ b/xarray/core/merge.py\n@@ -20,7 +20,7 @@\n from . import dtypes, pdcompat\n from .alignment import deep_align\n from .duck_array_ops import lazy_array_equiv\n-from .utils import Frozen, compat_dict_union, dict_equiv\n+from .utils import Frozen, compat_dict_union, dict_equiv, equivalent\n from .variable import Variable, as_variable, assert_unique_multiindex_level_names\n \n if TYPE_CHECKING:\n@@ -513,6 +513,24 @@ def merge_attrs(variable_attrs, combine_attrs):\n \"the same. Merging %s with %s\" % (str(result), str(attrs))\n )\n return result\n+ elif combine_attrs == \"drop_conflicts\":\n+ result = {}\n+ dropped_keys = set()\n+ for attrs in variable_attrs:\n+ result.update(\n+ {\n+ key: value\n+ for key, value in attrs.items()\n+ if key not in result and key not in dropped_keys\n+ }\n+ )\n+ result = {\n+ key: value\n+ for key, value in result.items()\n+ if key not in attrs or equivalent(attrs[key], value)\n+ }\n+ dropped_keys |= {key for key in attrs if key not in result}\n+ return result\n elif combine_attrs == \"identical\":\n result = dict(variable_attrs[0])\n for attrs in variable_attrs[1:]:\n@@ -556,7 +574,8 @@ def merge_core(\n Compatibility checks to use when merging variables.\n join : {\"outer\", \"inner\", \"left\", \"right\"}, optional\n How to combine objects with different indexes.\n- combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"override\"}, optional\n+ combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"drop_conflicts\", \\\n+ \"override\"}, optional\n How to combine attributes of objects\n priority_arg : int, optional\n Optional argument in `objects` that takes precedence over the others.\n@@ -668,14 +687,16 @@ def merge(\n Value to use for newly missing values. If a dict-like, maps\n variable names to fill values. Use a data array's name to\n refer to its values.\n- combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"override\"}, \\\n- default: \"drop\"\n+ combine_attrs : {\"drop\", \"identical\", \"no_conflicts\", \"drop_conflicts\", \\\n+ \"override\"}, default: \"drop\"\n String indicating how to combine attrs of the objects being merged:\n \n - \"drop\": empty attrs on returned Dataset.\n - \"identical\": all attrs must be the same on every object.\n - \"no_conflicts\": attrs from all objects are combined, any that have\n the same name must also have the same value.\n+ - \"drop_conflicts\": attrs from all objects are combined, any that have\n+ the same name but different values are dropped.\n - \"override\": skip comparing and copy attrs from the first dataset to\n the result.\n \n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_combine.py b/xarray/tests/test_combine.py\nindex 109b78f05a9..522b98cf864 100644\n--- a/xarray/tests/test_combine.py\n+++ b/xarray/tests/test_combine.py\n@@ -732,6 +732,17 @@ def test_combine_coords_combine_attrs_identical(self):\n objs, concat_dim=\"x\", join=\"outer\", combine_attrs=\"identical\"\n )\n \n+ def test_combine_nested_combine_attrs_drop_conflicts(self):\n+ objs = [\n+ Dataset({\"x\": [0], \"y\": [0]}, attrs={\"a\": 1, \"b\": 2, \"c\": 3}),\n+ Dataset({\"x\": [1], \"y\": [1]}, attrs={\"a\": 1, \"b\": 0, \"d\": 3}),\n+ ]\n+ expected = Dataset({\"x\": [0, 1], \"y\": [0, 1]}, attrs={\"a\": 1, \"c\": 3, \"d\": 3})\n+ actual = combine_nested(\n+ objs, concat_dim=\"x\", join=\"outer\", combine_attrs=\"drop_conflicts\"\n+ )\n+ assert_identical(expected, actual)\n+\n def test_infer_order_from_coords(self):\n data = create_test_data()\n objs = [data.isel(dim2=slice(4, 9)), data.isel(dim2=slice(4))]\ndiff --git a/xarray/tests/test_concat.py b/xarray/tests/test_concat.py\nindex 7416cab13ed..beed48a35fc 100644\n--- a/xarray/tests/test_concat.py\n+++ b/xarray/tests/test_concat.py\n@@ -258,27 +258,118 @@ def test_concat_join_kwarg(self):\n )\n assert_identical(actual, expected)\n \n- def test_concat_combine_attrs_kwarg(self):\n- ds1 = Dataset({\"a\": (\"x\", [0])}, coords={\"x\": [0]}, attrs={\"b\": 42})\n- ds2 = Dataset({\"a\": (\"x\", [0])}, coords={\"x\": [1]}, attrs={\"b\": 42, \"c\": 43})\n-\n- expected = {}\n- expected[\"drop\"] = Dataset({\"a\": (\"x\", [0, 0])}, {\"x\": [0, 1]})\n- expected[\"no_conflicts\"] = Dataset(\n- {\"a\": (\"x\", [0, 0])}, {\"x\": [0, 1]}, {\"b\": 42, \"c\": 43}\n- )\n- expected[\"override\"] = Dataset({\"a\": (\"x\", [0, 0])}, {\"x\": [0, 1]}, {\"b\": 42})\n-\n- with raises_regex(ValueError, \"combine_attrs='identical'\"):\n- actual = concat([ds1, ds2], dim=\"x\", combine_attrs=\"identical\")\n- with raises_regex(ValueError, \"combine_attrs='no_conflicts'\"):\n- ds3 = ds2.copy(deep=True)\n- ds3.attrs[\"b\"] = 44\n- actual = concat([ds1, ds3], dim=\"x\", combine_attrs=\"no_conflicts\")\n+ @pytest.mark.parametrize(\n+ \"combine_attrs, var1_attrs, var2_attrs, expected_attrs, expect_exception\",\n+ [\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 1, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ False,\n+ ),\n+ (\"no_conflicts\", {\"a\": 1, \"b\": 2}, {}, {\"a\": 1, \"b\": 2}, False),\n+ (\"no_conflicts\", {}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"c\": 3}, False),\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ True,\n+ ),\n+ (\"drop\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"b\": 2}, True),\n+ (\n+ \"override\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"b\": 5, \"c\": 3},\n+ {\"a\": 1, \"b\": 2},\n+ False,\n+ ),\n+ (\n+ \"drop_conflicts\",\n+ {\"a\": 41, \"b\": 42, \"c\": 43},\n+ {\"b\": 2, \"c\": 43, \"d\": 44},\n+ {\"a\": 41, \"c\": 43, \"d\": 44},\n+ False,\n+ ),\n+ ],\n+ )\n+ def test_concat_combine_attrs_kwarg(\n+ self, combine_attrs, var1_attrs, var2_attrs, expected_attrs, expect_exception\n+ ):\n+ ds1 = Dataset({\"a\": (\"x\", [0])}, coords={\"x\": [0]}, attrs=var1_attrs)\n+ ds2 = Dataset({\"a\": (\"x\", [0])}, coords={\"x\": [1]}, attrs=var2_attrs)\n+\n+ if expect_exception:\n+ with pytest.raises(ValueError, match=f\"combine_attrs='{combine_attrs}'\"):\n+ concat([ds1, ds2], dim=\"x\", combine_attrs=combine_attrs)\n+ else:\n+ actual = concat([ds1, ds2], dim=\"x\", combine_attrs=combine_attrs)\n+ expected = Dataset(\n+ {\"a\": (\"x\", [0, 0])}, {\"x\": [0, 1]}, attrs=expected_attrs\n+ )\n \n- for combine_attrs in expected:\n+ assert_identical(actual, expected)\n+\n+ @pytest.mark.skip(reason=\"not implemented, yet (see #4827)\")\n+ @pytest.mark.parametrize(\n+ \"combine_attrs, attrs1, attrs2, expected_attrs, expect_exception\",\n+ [\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 1, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ False,\n+ ),\n+ (\"no_conflicts\", {\"a\": 1, \"b\": 2}, {}, {\"a\": 1, \"b\": 2}, False),\n+ (\"no_conflicts\", {}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"c\": 3}, False),\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ True,\n+ ),\n+ (\"drop\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"b\": 2}, True),\n+ (\n+ \"override\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"b\": 5, \"c\": 3},\n+ {\"a\": 1, \"b\": 2},\n+ False,\n+ ),\n+ (\n+ \"drop_conflicts\",\n+ {\"a\": 41, \"b\": 42, \"c\": 43},\n+ {\"b\": 2, \"c\": 43, \"d\": 44},\n+ {\"a\": 41, \"c\": 43, \"d\": 44},\n+ False,\n+ ),\n+ ],\n+ )\n+ def test_concat_combine_attrs_kwarg_variables(\n+ self, combine_attrs, attrs1, attrs2, expected_attrs, expect_exception\n+ ):\n+ \"\"\"check that combine_attrs is used on data variables and coords\"\"\"\n+ ds1 = Dataset({\"a\": (\"x\", [0], attrs1)}, coords={\"x\": (\"x\", [0], attrs1)})\n+ ds2 = Dataset({\"a\": (\"x\", [0], attrs2)}, coords={\"x\": (\"x\", [1], attrs2)})\n+\n+ if expect_exception:\n+ with pytest.raises(ValueError, match=f\"combine_attrs='{combine_attrs}'\"):\n+ concat([ds1, ds2], dim=\"x\", combine_attrs=combine_attrs)\n+ else:\n actual = concat([ds1, ds2], dim=\"x\", combine_attrs=combine_attrs)\n- assert_identical(actual, expected[combine_attrs])\n+ expected = Dataset(\n+ {\"a\": (\"x\", [0, 0], expected_attrs)},\n+ {\"x\": (\"x\", [0, 1], expected_attrs)},\n+ )\n+\n+ assert_identical(actual, expected)\n \n def test_concat_promote_shape(self):\n # mixed dims within variables\ndiff --git a/xarray/tests/test_merge.py b/xarray/tests/test_merge.py\nindex 34b138e1f6a..27e2b10dcbc 100644\n--- a/xarray/tests/test_merge.py\n+++ b/xarray/tests/test_merge.py\n@@ -92,6 +92,20 @@ def test_merge_arrays_attrs_default(self):\n {\"a\": 1, \"b\": 2},\n False,\n ),\n+ (\n+ \"drop_conflicts\",\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ {\"b\": 1, \"c\": 3, \"d\": 4},\n+ {\"a\": 1, \"c\": 3, \"d\": 4},\n+ False,\n+ ),\n+ (\n+ \"drop_conflicts\",\n+ {\"a\": 1, \"b\": np.array([2]), \"c\": np.array([3])},\n+ {\"b\": 1, \"c\": np.array([3]), \"d\": 4},\n+ {\"a\": 1, \"c\": np.array([3]), \"d\": 4},\n+ False,\n+ ),\n ],\n )\n def test_merge_arrays_attrs(\n@@ -109,6 +123,68 @@ def test_merge_arrays_attrs(\n expected.attrs = expected_attrs\n assert_identical(actual, expected)\n \n+ @pytest.mark.skip(reason=\"not implemented, yet (see #4827)\")\n+ @pytest.mark.parametrize(\n+ \"combine_attrs, attrs1, attrs2, expected_attrs, expect_exception\",\n+ [\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 1, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ False,\n+ ),\n+ (\"no_conflicts\", {\"a\": 1, \"b\": 2}, {}, {\"a\": 1, \"b\": 2}, False),\n+ (\"no_conflicts\", {}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"c\": 3}, False),\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ True,\n+ ),\n+ (\"drop\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"b\": 2}, True),\n+ (\n+ \"override\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"b\": 5, \"c\": 3},\n+ {\"a\": 1, \"b\": 2},\n+ False,\n+ ),\n+ (\n+ \"drop_conflicts\",\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ {\"b\": 1, \"c\": 3, \"d\": 4},\n+ {\"a\": 1, \"c\": 3, \"d\": 4},\n+ False,\n+ ),\n+ ],\n+ )\n+ def test_merge_arrays_attrs_variables(\n+ self, combine_attrs, attrs1, attrs2, expected_attrs, expect_exception\n+ ):\n+ \"\"\"check that combine_attrs is used on data variables and coords\"\"\"\n+ data = create_test_data()\n+ data1 = data.copy()\n+ data1.var1.attrs = attrs1\n+ data1.dim1.attrs = attrs1\n+ data2 = data.copy()\n+ data2.var1.attrs = attrs2\n+ data2.dim1.attrs = attrs2\n+\n+ if expect_exception:\n+ with raises_regex(MergeError, \"combine_attrs\"):\n+ actual = xr.merge([data1, data2], combine_attrs=combine_attrs)\n+ else:\n+ actual = xr.merge([data1, data2], combine_attrs=combine_attrs)\n+ expected = data.copy()\n+ expected.var1.attrs = expected_attrs\n+ expected.dim1.attrs = expected_attrs\n+\n+ assert_identical(actual, expected)\n+\n def test_merge_attrs_override_copy(self):\n ds1 = xr.Dataset(attrs={\"x\": 0})\n ds2 = xr.Dataset(attrs={\"x\": 1})\n@@ -116,6 +192,15 @@ def test_merge_attrs_override_copy(self):\n ds3.attrs[\"x\"] = 2\n assert ds1.x == 0\n \n+ def test_merge_attrs_drop_conflicts(self):\n+ ds1 = xr.Dataset(attrs={\"a\": 0, \"b\": 0, \"c\": 0})\n+ ds2 = xr.Dataset(attrs={\"b\": 0, \"c\": 1, \"d\": 0})\n+ ds3 = xr.Dataset(attrs={\"a\": 0, \"b\": 1, \"c\": 0, \"e\": 0})\n+\n+ actual = xr.merge([ds1, ds2, ds3], combine_attrs=\"drop_conflicts\")\n+ expected = xr.Dataset(attrs={\"a\": 0, \"d\": 0, \"e\": 0})\n+ assert_identical(actual, expected)\n+\n def test_merge_dicts_simple(self):\n actual = xr.merge([{\"foo\": 0}, {\"bar\": \"one\"}, {\"baz\": 3.5}])\n expected = xr.Dataset({\"foo\": 0, \"bar\": \"one\", \"baz\": 3.5})\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4300f1b188a..b59ed6363dc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -60,6 +60,10 @@ New Features\n By `Maximilian Roos <https://github.com/max-sixty>`_.\n \n - Performance improvement when constructing DataArrays. Significantly speeds up repr for Datasets with large number of variables.\n+ By `Deepak Cherian <https://github.com/dcherian>`_\n+- add ``\"drop_conflicts\"`` to the strategies supported by the ``combine_attrs`` kwarg\n+ (:issue:`4749`, :pull:`4827`).\n+ By `Justus Magin <https://github.com/keewis>`_.\n By `Deepak Cherian <https://github.com/dcherian>`_.\n - :py:meth:`DataArray.swap_dims` & :py:meth:`Dataset.swap_dims` now accept dims\n in the form of kwargs as well as a dict, like most similar methods.\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 4300f1b188a..b59ed6363dc 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -60,6 +60,10 @@ New Features\\n By `Maximilian Roos <https://github.com/max-sixty>`_.\\n \\n - Performance improvement when constructing DataArrays. Significantly speeds up repr for Datasets with large number of variables.\\n+ By `Deepak Cherian <https://github.com/dcherian>`_\\n+- add ``\\\"drop_conflicts\\\"`` to the strategies supported by the ``combine_attrs`` kwarg\\n+ (:issue:`4749`, :pull:`4827`).\\n+ By `Justus Magin <https://github.com/keewis>`_.\\n By `Deepak Cherian <https://github.com/dcherian>`_.\\n - :py:meth:`DataArray.swap_dims` & :py:meth:`Dataset.swap_dims` now accept dims\\n in the form of kwargs as well as a dict, like most similar methods.\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0017"},"base_commit":{"kind":"string","value":"f98d6f065db2ad1f8911cb22aa04b4e0210ecee4"},"PASS2PASS":{"kind":"list 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like","value":["xarray/tests/test_merge.py::TestMergeFunction::test_merge_attrs_drop_conflicts","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[drop_conflicts-var1_attrs9-var2_attrs9-expected_attrs9-False]","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[drop_conflicts-var1_attrs8-var2_attrs8-expected_attrs8-False]","xarray/tests/test_concat.py::TestConcatDataset::test_concat_combine_attrs_kwarg[drop_conflicts-var1_attrs8-var2_attrs8-expected_attrs8-False]","xarray/tests/test_combine.py::TestCombineAuto::test_combine_nested_combine_attrs_drop_conflicts"],"string":"[\n \"xarray/tests/test_merge.py::TestMergeFunction::test_merge_attrs_drop_conflicts\",\n \"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[drop_conflicts-var1_attrs9-var2_attrs9-expected_attrs9-False]\",\n \"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[drop_conflicts-var1_attrs8-var2_attrs8-expected_attrs8-False]\",\n \"xarray/tests/test_concat.py::TestConcatDataset::test_concat_combine_attrs_kwarg[drop_conflicts-var1_attrs8-var2_attrs8-expected_attrs8-False]\",\n \"xarray/tests/test_combine.py::TestCombineAuto::test_combine_nested_combine_attrs_drop_conflicts\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4300f1b188a..b59ed6363dc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -60,6 +60,10 @@ New Features\n By `<NAME>`_.\n \n - Performance improvement when constructing DataArrays. Significantly speeds up repr for Datasets with large number of variables.\n+ By `<NAME>`_\n+- add ``\"drop_conflicts\"`` to the strategies supported by the ``combine_attrs`` kwarg\n+ (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n By `<NAME>`_.\n - :py:meth:`DataArray.swap_dims` & :py:meth:`Dataset.swap_dims` now accept dims\n in the form of kwargs as well as a dict, like most similar methods.\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 4300f1b188a..b59ed6363dc 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -60,6 +60,10 @@ New Features\\n By `<NAME>`_.\\n \\n - Performance improvement when constructing DataArrays. Significantly speeds up repr for Datasets with large number of variables.\\n+ By `<NAME>`_\\n+- add ``\\\"drop_conflicts\\\"`` to the strategies supported by the ``combine_attrs`` kwarg\\n+ (:issue:`<PRID>`, :pull:`<PRID>`).\\n+ By `<NAME>`_.\\n By `<NAME>`_.\\n - :py:meth:`DataArray.swap_dims` & :py:meth:`Dataset.swap_dims` now accept dims\\n in the form of kwargs as well as a dict, like most similar methods.\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4300f1b188a..b59ed6363dc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -60,6 +60,10 @@ New Features\n By `<NAME>`_.\n \n - Performance improvement when constructing DataArrays. Significantly speeds up repr for Datasets with large number of variables.\n+ By `<NAME>`_\n+- add ``\"drop_conflicts\"`` to the strategies supported by the ``combine_attrs`` kwarg\n+ (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n By `<NAME>`_.\n - :py:meth:`DataArray.swap_dims` & :py:meth:`Dataset.swap_dims` now accept dims\n in the form of kwargs as well as a dict, like most similar methods.\n\n"}}},{"rowIdx":574,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-5174"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/5174"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ebbfc87b4d3..04fd567941f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -99,6 +99,9 @@ New Features\n :py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.\n Fixes (:issue:`5230`).\n By `Tom Nicholas <https://github.com/TomNicholas>`_.\n+- Implement ``__setitem__`` for :py:class:`core.indexing.DaskIndexingAdapter` if\n+ dask version supports item assignment. (:issue:`5171`, :pull:`5174`)\n+ By `Tammas Loughran <https://github.com/tammasloughran>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\ndiff --git a/xarray/core/indexing.py b/xarray/core/indexing.py\nindex 6839088b099..f4f76efdcf7 100644\n--- a/xarray/core/indexing.py\n+++ b/xarray/core/indexing.py\n@@ -4,11 +4,19 @@\n from collections import defaultdict\n from contextlib import suppress\n from datetime import timedelta\n+from distutils.version import LooseVersion\n from typing import Any, Callable, Iterable, List, Sequence, Tuple, Union\n \n import numpy as np\n import pandas as pd\n \n+try:\n+ import dask\n+\n+ DASK_VERSION = LooseVersion(dask.__version__)\n+except ModuleNotFoundError:\n+ DASK_VERSION = LooseVersion(\"0\")\n+\n from . import duck_array_ops, nputils, utils\n from .npcompat import DTypeLike\n from .pycompat import (\n@@ -1380,13 +1388,29 @@ def __getitem__(self, key):\n return value\n \n def __setitem__(self, key, value):\n- raise TypeError(\n- \"this variable's data is stored in a dask array, \"\n- \"which does not support item assignment. To \"\n- \"assign to this variable, you must first load it \"\n- \"into memory explicitly using the .load() \"\n- \"method or accessing its .values attribute.\"\n- )\n+ if DASK_VERSION >= \"2021.04.0+17\":\n+ if isinstance(key, BasicIndexer):\n+ self.array[key.tuple] = value\n+ elif isinstance(key, VectorizedIndexer):\n+ self.array.vindex[key.tuple] = value\n+ elif isinstance(key, OuterIndexer):\n+ num_non_slices = sum(\n+ 0 if isinstance(k, slice) else 1 for k in key.tuple\n+ )\n+ if num_non_slices > 1:\n+ raise NotImplementedError(\n+ \"xarray can't set arrays with multiple \"\n+ \"array indices to dask yet.\"\n+ )\n+ self.array[key.tuple] = value\n+ else:\n+ raise TypeError(\n+ \"This variable's data is stored in a dask array, \"\n+ \"and the installed dask version does not support item \"\n+ \"assignment. To assign to this variable, you must either upgrade dask or\"\n+ \"first load the variable into memory explicitly using the .load() \"\n+ \"method or accessing its .values attribute.\"\n+ )\n \n def transpose(self, order):\n return self.array.transpose(order)\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dask.py b/xarray/tests/test_dask.py\nindex 032e81737e1..8b875662ab8 100644\n--- a/xarray/tests/test_dask.py\n+++ b/xarray/tests/test_dask.py\n@@ -110,8 +110,39 @@ def test_indexing(self):\n self.assertLazyAndIdentical(u[0], v[0])\n self.assertLazyAndIdentical(u[:1], v[:1])\n self.assertLazyAndIdentical(u[[0, 1], [0, 1, 2]], v[[0, 1], [0, 1, 2]])\n- with pytest.raises(TypeError, match=r\"stored in a dask array\"):\n- v[:1] = 0\n+ if LooseVersion(dask.__version__) >= LooseVersion(\"2021.04.0+17\"):\n+ # TODO: use @pytest.mark.parametrize to parametrize this\n+ arr = Variable((\"x\"), da.array([1, 2, 3, 4]))\n+ expected = Variable((\"x\"), da.array([99, 2, 3, 4]))\n+ arr[0] = 99 # Indexing by integers\n+ assert_identical(arr, expected)\n+ arr = Variable((\"x\"), da.array([1, 2, 3, 4]))\n+ expected = Variable((\"x\"), da.array([99, 99, 99, 4]))\n+ arr[2::-1] = 99 # Indexing by slices\n+ assert_identical(arr, expected)\n+ arr = Variable((\"x\"), da.array([1, 2, 3, 4]))\n+ expected = Variable((\"x\"), da.array([99, 99, 3, 99]))\n+ arr[[0, -1, 1]] = 99 # Indexing by a list of integers\n+ assert_identical(arr, expected)\n+ arr = Variable((\"x\"), da.array([1, 2, 3, 4]))\n+ expected = Variable((\"x\"), da.array([99, 99, 99, 4]))\n+ arr[np.arange(3)] = 99 # Indexing by a 1-d numpy array of integers\n+ assert_identical(arr, expected)\n+ arr = Variable((\"x\"), da.array([1, 2, 3, 4]))\n+ expected = Variable((\"x\"), da.array([1, 99, 99, 99]))\n+ arr[[False, True, True, True]] = 99 # Indexing by a list of booleans\n+ assert_identical(arr, expected)\n+ arr = Variable((\"x\"), da.array([1, 2, 3, 4]))\n+ expected = Variable((\"x\"), da.array([1, 99, 99, 99]))\n+ arr[np.arange(4) > 0] = 99 # Indexing by a 1-d numpy array of booleans\n+ assert_identical(arr, expected)\n+ arr = Variable((\"x\"), da.array([1, 2, 3, 4]))\n+ expected = Variable((\"x\"), da.array([99, 99, 99, 99]))\n+ arr[arr > 0] = 99 # Indexing by one broadcastable Array of booleans\n+ assert_identical(arr, expected)\n+ else:\n+ with pytest.raises(TypeError, match=r\"stored in a dask array\"):\n+ v[:1] = 0\n \n def test_squeeze(self):\n u = self.eager_var\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ebbfc87b4d3..04fd567941f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -99,6 +99,9 @@ New Features\n :py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.\n Fixes (:issue:`5230`).\n By `Tom Nicholas <https://github.com/TomNicholas>`_.\n+- Implement ``__setitem__`` for :py:class:`core.indexing.DaskIndexingAdapter` if\n+ dask version supports item assignment. (:issue:`5171`, :pull:`5174`)\n+ By `Tammas Loughran <https://github.com/tammasloughran>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex ebbfc87b4d3..04fd567941f 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -99,6 +99,9 @@ New Features\\n :py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.\\n Fixes (:issue:`5230`).\\n By `Tom Nicholas <https://github.com/TomNicholas>`_.\\n+- Implement ``__setitem__`` for :py:class:`core.indexing.DaskIndexingAdapter` if\\n+ dask version supports item assignment. (:issue:`5171`, :pull:`5174`)\\n+ By `Tammas Loughran <https://github.com/tammasloughran>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0018"},"base_commit":{"kind":"string","value":"01b6cc76c6b7c77f2f93fc1766eb76f851529b5d"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_from_dask_variable\",\n \"xarray/tests/test_dask.py::test_lazy_array_equiv_merge[broadcast_equals]\",\n \"xarray/tests/test_dask.py::TestToDaskDataFrame::test_to_dask_dataframe_2D\",\n \"xarray/tests/test_dask.py::TestVariable::test_reduce\",\n \"xarray/tests/test_dask.py::TestVariable::test_univariate_ufunc\",\n \"xarray/tests/test_dask.py::test_lazy_array_equiv_merge[equals]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>1-obj1]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>5-obj2]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_persist\",\n \"xarray/tests/test_dask.py::test_token_identical[obj1-<lambda>2]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_dataarray_pickle\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>4-obj0]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>9-obj0]\",\n \"xarray/tests/test_dask.py::test_token_identical[obj0-<lambda>0]\",\n \"xarray/tests/test_dask.py::test_unify_chunks_shallow_copy[<lambda>0-obj0]\",\n \"xarray/tests/test_dask.py::test_make_meta\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_rolling\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>6-obj1]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>4-obj3]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>3-obj2]\",\n \"xarray/tests/test_dask.py::test_lazy_array_equiv_variables[identical]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_to_dataset_roundtrip\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_groupby_first\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>2-obj0]\",\n \"xarray/tests/test_dask.py::TestVariable::test_concat\",\n \"xarray/tests/test_dask.py::TestVariable::test_shift\",\n \"xarray/tests/test_dask.py::test_graph_manipulation\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_concat_loads_variables\",\n \"xarray/tests/test_dask.py::test_lazy_array_equiv_variables[broadcast_equals]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>4-obj1]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>0-obj3]\",\n \"xarray/tests/test_dask.py::test_optimize\",\n \"xarray/tests/test_dask.py::test_lazy_array_equiv_merge[no_conflicts]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_lazy_array\",\n \"xarray/tests/test_dask.py::test_token_identical[obj2-<lambda>2]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_dot\",\n \"xarray/tests/test_dask.py::test_dask_kwargs_variable[compute]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>16-obj1]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_rechunk\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_stack\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>13-obj0]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>6-obj0]\",\n \"xarray/tests/test_dask.py::test_raise_if_dask_computes\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>0-obj0]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>5-obj1]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>12-obj0]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>15-obj0]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>6-obj2]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_lazy_dataset\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>4-obj0]\",\n \"xarray/tests/test_dask.py::test_lazy_array_equiv_merge[identical]\",\n \"xarray/tests/test_dask.py::test_unify_chunks\",\n \"xarray/tests/test_dask.py::test_recursive_token\",\n \"xarray/tests/test_dask.py::test_unify_chunks_shallow_copy[<lambda>1-obj1]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>3-obj1]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>3-obj0]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>8-obj1]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>11-obj1]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>6-obj1]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>1-obj1]\",\n \"xarray/tests/test_dask.py::test_lazy_array_equiv_variables[no_conflicts]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_dataset_pickle\",\n \"xarray/tests/test_dask.py::test_dask_kwargs_dataarray[load]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>5-obj3]\",\n \"xarray/tests/test_dask.py::test_auto_chunk_da[obj0]\",\n \"xarray/tests/test_dask.py::test_dask_kwargs_dataset[persist]\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_dataarray_repr\",\n \"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_where_dispatching\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>11-obj0]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>14-obj0]\",\n \"xarray/tests/test_dask.py::test_persist_DataArray[<lambda>0]\",\n \"xarray/tests/test_dask.py::test_token_changes_on_transform[<lambda>2-obj2]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>12-obj1]\",\n \"xarray/tests/test_dask.py::TestToDaskDataFrame::test_to_dask_dataframe\",\n \"xarray/tests/test_dask.py::test_token_changes_when_data_changes[obj1]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>16-obj0]\",\n \"xarray/tests/test_dask.py::TestVariable::test_squeeze\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>10-obj0]\",\n \"xarray/tests/test_dask.py::test_transforms_pass_lazy_array_equiv[<lambda>7-obj1]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_dask.py::TestVariable::test_indexing"],"string":"[\n \"xarray/tests/test_dask.py::TestVariable::test_indexing\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ebbfc87b4d3..04fd567941f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -99,6 +99,9 @@ New Features\n :py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.\n Fixes (:issue:`<PRID>`).\n By `<NAME>`_.\n+- Implement ``__setitem__`` for :py:class:`core.indexing.DaskIndexingAdapter` if\n+ dask version supports item assignment. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex ebbfc87b4d3..04fd567941f 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -99,6 +99,9 @@ New Features\\n :py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.\\n Fixes (:issue:`<PRID>`).\\n By `<NAME>`_.\\n+- Implement ``__setitem__`` for :py:class:`core.indexing.DaskIndexingAdapter` if\\n+ dask version supports item assignment. (:issue:`<PRID>`, :pull:`<PRID>`)\\n+ By `<NAME>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ebbfc87b4d3..04fd567941f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -99,6 +99,9 @@ New Features\n :py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.\n Fixes (:issue:`<PRID>`).\n By `<NAME>`_.\n+- Implement ``__setitem__`` for :py:class:`core.indexing.DaskIndexingAdapter` if\n+ dask version supports item assignment. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n\n"}}},{"rowIdx":575,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4758"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4758"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex f619284437b..ac326342115 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -52,6 +52,13 @@ Deprecations\n \n New Features\n ~~~~~~~~~~~~\n+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O\n+ roundtripping of ``cftime.datetime`` objects (:pull:`4758`).\n+ By `Spencer Clark <https://github.com/spencerkclark>`_.\n+- :py:meth:`~xarray.cftime_range` and :py:meth:`DataArray.resample` now support\n+ millisecond (``\"L\"`` or ``\"ms\"``) and microsecond (``\"U\"`` or ``\"us\"``) frequencies\n+ for ``cftime.datetime`` coordinates (:issue:`4097`, :pull:`4758`).\n+ By `Spencer Clark <https://github.com/spencerkclark>`_.\n - Significantly higher ``unstack`` performance on numpy-backed arrays which\n contain missing values; 8x faster in our benchmark, and 2x faster than pandas.\n (:pull:`4746`);\ndiff --git a/xarray/coding/cftime_offsets.py b/xarray/coding/cftime_offsets.py\nindex 177a0fd831b..c25d5296c41 100644\n--- a/xarray/coding/cftime_offsets.py\n+++ b/xarray/coding/cftime_offsets.py\n@@ -576,6 +576,26 @@ def __apply__(self, other):\n return other + self.as_timedelta()\n \n \n+class Millisecond(BaseCFTimeOffset):\n+ _freq = \"L\"\n+\n+ def as_timedelta(self):\n+ return timedelta(milliseconds=self.n)\n+\n+ def __apply__(self, other):\n+ return other + self.as_timedelta()\n+\n+\n+class Microsecond(BaseCFTimeOffset):\n+ _freq = \"U\"\n+\n+ def as_timedelta(self):\n+ return timedelta(microseconds=self.n)\n+\n+ def __apply__(self, other):\n+ return other + self.as_timedelta()\n+\n+\n _FREQUENCIES = {\n \"A\": YearEnd,\n \"AS\": YearBegin,\n@@ -590,6 +610,10 @@ def __apply__(self, other):\n \"T\": Minute,\n \"min\": Minute,\n \"S\": Second,\n+ \"L\": Millisecond,\n+ \"ms\": Millisecond,\n+ \"U\": Microsecond,\n+ \"us\": Microsecond,\n \"AS-JAN\": partial(YearBegin, month=1),\n \"AS-FEB\": partial(YearBegin, month=2),\n \"AS-MAR\": partial(YearBegin, month=3),\n@@ -824,7 +848,7 @@ def cftime_range(\n `ISO-8601 format <https://en.wikipedia.org/wiki/ISO_8601>`_.\n - It supports many, but not all, frequencies supported by\n ``pandas.date_range``. For example it does not currently support any of\n- the business-related, semi-monthly, or sub-second frequencies.\n+ the business-related or semi-monthly frequencies.\n - Compound sub-monthly frequencies are not supported, e.g. '1H1min', as\n these can easily be written in terms of the finest common resolution,\n e.g. '61min'.\n@@ -855,6 +879,10 @@ def cftime_range(\n +--------+--------------------------+\n | S | Second frequency |\n +--------+--------------------------+\n+ | L, ms | Millisecond frequency |\n+ +--------+--------------------------+\n+ | U, us | Microsecond frequency |\n+ +--------+--------------------------+\n \n Any multiples of the following anchored offsets are also supported.\n \ndiff --git a/xarray/coding/times.py b/xarray/coding/times.py\nindex 39ad2f57c1e..a1822393dc1 100644\n--- a/xarray/coding/times.py\n+++ b/xarray/coding/times.py\n@@ -1,6 +1,6 @@\n import re\n import warnings\n-from datetime import datetime\n+from datetime import datetime, timedelta\n from distutils.version import LooseVersion\n from functools import partial\n \n@@ -35,6 +35,26 @@\n \"D\": int(1e9) * 60 * 60 * 24,\n }\n \n+_US_PER_TIME_DELTA = {\n+ \"microseconds\": 1,\n+ \"milliseconds\": 1_000,\n+ \"seconds\": 1_000_000,\n+ \"minutes\": 60 * 1_000_000,\n+ \"hours\": 60 * 60 * 1_000_000,\n+ \"days\": 24 * 60 * 60 * 1_000_000,\n+}\n+\n+_NETCDF_TIME_UNITS_CFTIME = [\n+ \"days\",\n+ \"hours\",\n+ \"minutes\",\n+ \"seconds\",\n+ \"milliseconds\",\n+ \"microseconds\",\n+]\n+\n+_NETCDF_TIME_UNITS_NUMPY = _NETCDF_TIME_UNITS_CFTIME + [\"nanoseconds\"]\n+\n TIME_UNITS = frozenset(\n [\n \"days\",\n@@ -225,9 +245,7 @@ def decode_cf_datetime(num_dates, units, calendar=None, use_cftime=None):\n if calendar in _STANDARD_CALENDARS:\n dates = cftime_to_nptime(dates)\n elif use_cftime:\n- dates = _decode_datetime_with_cftime(\n- flat_num_dates.astype(float), units, calendar\n- )\n+ dates = _decode_datetime_with_cftime(flat_num_dates, units, calendar)\n else:\n dates = _decode_datetime_with_pandas(flat_num_dates, units, calendar)\n \n@@ -262,25 +280,33 @@ def decode_cf_timedelta(num_timedeltas, units):\n return result.reshape(num_timedeltas.shape)\n \n \n+def _unit_timedelta_cftime(units):\n+ return timedelta(microseconds=_US_PER_TIME_DELTA[units])\n+\n+\n+def _unit_timedelta_numpy(units):\n+ numpy_units = _netcdf_to_numpy_timeunit(units)\n+ return np.timedelta64(_NS_PER_TIME_DELTA[numpy_units], \"ns\")\n+\n+\n def _infer_time_units_from_diff(unique_timedeltas):\n- # Note that the modulus operator was only implemented for np.timedelta64\n- # arrays as of NumPy version 1.16.0. Once our minimum version of NumPy\n- # supported is greater than or equal to this we will no longer need to cast\n- # unique_timedeltas to a TimedeltaIndex. In the meantime, however, the\n- # modulus operator works for TimedeltaIndex objects.\n- unique_deltas_as_index = pd.TimedeltaIndex(unique_timedeltas)\n- for time_unit in [\n- \"days\",\n- \"hours\",\n- \"minutes\",\n- \"seconds\",\n- \"milliseconds\",\n- \"microseconds\",\n- \"nanoseconds\",\n- ]:\n- delta_ns = _NS_PER_TIME_DELTA[_netcdf_to_numpy_timeunit(time_unit)]\n- unit_delta = np.timedelta64(delta_ns, \"ns\")\n- if np.all(unique_deltas_as_index % unit_delta == np.timedelta64(0, \"ns\")):\n+ if unique_timedeltas.dtype == np.dtype(\"O\"):\n+ time_units = _NETCDF_TIME_UNITS_CFTIME\n+ unit_timedelta = _unit_timedelta_cftime\n+ zero_timedelta = timedelta(microseconds=0)\n+ timedeltas = unique_timedeltas\n+ else:\n+ time_units = _NETCDF_TIME_UNITS_NUMPY\n+ unit_timedelta = _unit_timedelta_numpy\n+ zero_timedelta = np.timedelta64(0, \"ns\")\n+ # Note that the modulus operator was only implemented for np.timedelta64\n+ # arrays as of NumPy version 1.16.0. Once our minimum version of NumPy\n+ # supported is greater than or equal to this we will no longer need to cast\n+ # unique_timedeltas to a TimedeltaIndex. In the meantime, however, the\n+ # modulus operator works for TimedeltaIndex objects.\n+ timedeltas = pd.TimedeltaIndex(unique_timedeltas)\n+ for time_unit in time_units:\n+ if np.all(timedeltas % unit_timedelta(time_unit) == zero_timedelta):\n return time_unit\n return \"seconds\"\n \n@@ -309,10 +335,6 @@ def infer_datetime_units(dates):\n reference_date = dates[0] if len(dates) > 0 else \"1970-01-01\"\n reference_date = format_cftime_datetime(reference_date)\n unique_timedeltas = np.unique(np.diff(dates))\n- if unique_timedeltas.dtype == np.dtype(\"O\"):\n- # Convert to np.timedelta64 objects using pandas to work around a\n- # NumPy casting bug: https://github.com/numpy/numpy/issues/11096\n- unique_timedeltas = to_timedelta_unboxed(unique_timedeltas)\n units = _infer_time_units_from_diff(unique_timedeltas)\n return f\"{units} since {reference_date}\"\n \n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py\nindex 7c18f1a8c8a..a7761aefa3d 100644\n--- a/xarray/tests/__init__.py\n+++ b/xarray/tests/__init__.py\n@@ -68,6 +68,7 @@ def LooseVersion(vstring):\n has_pseudonetcdf, requires_pseudonetcdf = _importorskip(\"PseudoNetCDF\")\n has_cftime, requires_cftime = _importorskip(\"cftime\")\n has_cftime_1_1_0, requires_cftime_1_1_0 = _importorskip(\"cftime\", minversion=\"1.1.0.0\")\n+has_cftime_1_4_1, requires_cftime_1_4_1 = _importorskip(\"cftime\", minversion=\"1.4.1\")\n has_dask, requires_dask = _importorskip(\"dask\")\n has_bottleneck, requires_bottleneck = _importorskip(\"bottleneck\")\n has_nc_time_axis, requires_nc_time_axis = _importorskip(\"nc_time_axis\")\ndiff --git a/xarray/tests/test_cftime_offsets.py b/xarray/tests/test_cftime_offsets.py\nindex 3efcf8039c6..b1ecf059f2f 100644\n--- a/xarray/tests/test_cftime_offsets.py\n+++ b/xarray/tests/test_cftime_offsets.py\n@@ -10,6 +10,8 @@\n BaseCFTimeOffset,\n Day,\n Hour,\n+ Microsecond,\n+ Millisecond,\n Minute,\n MonthBegin,\n MonthEnd,\n@@ -181,6 +183,14 @@ def test_to_offset_offset_input(offset):\n (\"2min\", Minute(n=2)),\n (\"S\", Second()),\n (\"2S\", Second(n=2)),\n+ (\"L\", Millisecond(n=1)),\n+ (\"2L\", Millisecond(n=2)),\n+ (\"ms\", Millisecond(n=1)),\n+ (\"2ms\", Millisecond(n=2)),\n+ (\"U\", Microsecond(n=1)),\n+ (\"2U\", Microsecond(n=2)),\n+ (\"us\", Microsecond(n=1)),\n+ (\"2us\", Microsecond(n=2)),\n ],\n ids=_id_func,\n )\n@@ -299,6 +309,8 @@ def test_to_cftime_datetime_error_type_error():\n Hour(),\n Minute(),\n Second(),\n+ Millisecond(),\n+ Microsecond(),\n ]\n _EQ_TESTS_B = [\n BaseCFTimeOffset(n=2),\n@@ -316,6 +328,8 @@ def test_to_cftime_datetime_error_type_error():\n Hour(n=2),\n Minute(n=2),\n Second(n=2),\n+ Millisecond(n=2),\n+ Microsecond(n=2),\n ]\n \n \n@@ -340,6 +354,8 @@ def test_neq(a, b):\n Hour(n=2),\n Minute(n=2),\n Second(n=2),\n+ Millisecond(n=2),\n+ Microsecond(n=2),\n ]\n \n \n@@ -360,6 +376,8 @@ def test_eq(a, b):\n (Hour(), Hour(n=3)),\n (Minute(), Minute(n=3)),\n (Second(), Second(n=3)),\n+ (Millisecond(), Millisecond(n=3)),\n+ (Microsecond(), Microsecond(n=3)),\n ]\n \n \n@@ -387,6 +405,8 @@ def test_rmul(offset, expected):\n (Hour(), Hour(n=-1)),\n (Minute(), Minute(n=-1)),\n (Second(), Second(n=-1)),\n+ (Millisecond(), Millisecond(n=-1)),\n+ (Microsecond(), Microsecond(n=-1)),\n ],\n ids=_id_func,\n )\n@@ -399,6 +419,8 @@ def test_neg(offset, expected):\n (Hour(n=2), (1, 1, 1, 2)),\n (Minute(n=2), (1, 1, 1, 0, 2)),\n (Second(n=2), (1, 1, 1, 0, 0, 2)),\n+ (Millisecond(n=2), (1, 1, 1, 0, 0, 0, 2000)),\n+ (Microsecond(n=2), (1, 1, 1, 0, 0, 0, 2)),\n ]\n \n \n@@ -427,6 +449,8 @@ def test_radd_sub_monthly(offset, expected_date_args, calendar):\n (Hour(n=2), (1, 1, 2, 22)),\n (Minute(n=2), (1, 1, 2, 23, 58)),\n (Second(n=2), (1, 1, 2, 23, 59, 58)),\n+ (Millisecond(n=2), (1, 1, 2, 23, 59, 59, 998000)),\n+ (Microsecond(n=2), (1, 1, 2, 23, 59, 59, 999998)),\n ],\n ids=_id_func,\n )\n@@ -802,6 +826,8 @@ def test_add_quarter_end_onOffset(\n ((1, 1, 1), Hour(), True),\n ((1, 1, 1), Minute(), True),\n ((1, 1, 1), Second(), True),\n+ ((1, 1, 1), Millisecond(), True),\n+ ((1, 1, 1), Microsecond(), True),\n ],\n ids=_id_func,\n )\n@@ -865,6 +891,8 @@ def test_onOffset_month_or_quarter_or_year_end(\n (Hour(), (1, 3, 2, 1, 1), (1, 3, 2, 1, 1)),\n (Minute(), (1, 3, 2, 1, 1, 1), (1, 3, 2, 1, 1, 1)),\n (Second(), (1, 3, 2, 1, 1, 1, 1), (1, 3, 2, 1, 1, 1, 1)),\n+ (Millisecond(), (1, 3, 2, 1, 1, 1, 1000), (1, 3, 2, 1, 1, 1, 1000)),\n+ (Microsecond(), (1, 3, 2, 1, 1, 1, 1), (1, 3, 2, 1, 1, 1, 1)),\n ],\n ids=_id_func,\n )\n@@ -914,6 +942,8 @@ def test_rollforward(calendar, offset, initial_date_args, partial_expected_date_\n (Hour(), (1, 3, 2, 1, 1), (1, 3, 2, 1, 1)),\n (Minute(), (1, 3, 2, 1, 1, 1), (1, 3, 2, 1, 1, 1)),\n (Second(), (1, 3, 2, 1, 1, 1, 1), (1, 3, 2, 1, 1, 1, 1)),\n+ (Millisecond(), (1, 3, 2, 1, 1, 1, 1000), (1, 3, 2, 1, 1, 1, 1000)),\n+ (Microsecond(), (1, 3, 2, 1, 1, 1, 1), (1, 3, 2, 1, 1, 1, 1)),\n ],\n ids=_id_func,\n )\ndiff --git a/xarray/tests/test_coding_times.py b/xarray/tests/test_coding_times.py\nindex d8412f82374..eda32d31148 100644\n--- a/xarray/tests/test_coding_times.py\n+++ b/xarray/tests/test_coding_times.py\n@@ -1,4 +1,5 @@\n import warnings\n+from datetime import timedelta\n from itertools import product\n \n import numpy as np\n@@ -6,7 +7,15 @@\n import pytest\n from pandas.errors import OutOfBoundsDatetime\n \n-from xarray import DataArray, Dataset, Variable, coding, conventions, decode_cf\n+from xarray import (\n+ DataArray,\n+ Dataset,\n+ Variable,\n+ cftime_range,\n+ coding,\n+ conventions,\n+ decode_cf,\n+)\n from xarray.coding.times import (\n _encode_datetime_with_cftime,\n cftime_to_nptime,\n@@ -19,7 +28,15 @@\n from xarray.core.common import contains_cftime_datetimes\n from xarray.testing import assert_equal\n \n-from . import arm_xfail, assert_array_equal, has_cftime, requires_cftime, requires_dask\n+from . import (\n+ arm_xfail,\n+ assert_array_equal,\n+ has_cftime,\n+ has_cftime_1_4_1,\n+ requires_cftime,\n+ requires_cftime_1_4_1,\n+ requires_dask,\n+)\n \n _NON_STANDARD_CALENDARS_SET = {\n \"noleap\",\n@@ -973,8 +990,13 @@ def test_decode_ambiguous_time_warns(calendar):\n \n @pytest.mark.parametrize(\"encoding_units\", FREQUENCIES_TO_ENCODING_UNITS.values())\n @pytest.mark.parametrize(\"freq\", FREQUENCIES_TO_ENCODING_UNITS.keys())\n-def test_encode_cf_datetime_defaults_to_correct_dtype(encoding_units, freq):\n- times = pd.date_range(\"2000\", periods=3, freq=freq)\n+@pytest.mark.parametrize(\"date_range\", [pd.date_range, cftime_range])\n+def test_encode_cf_datetime_defaults_to_correct_dtype(encoding_units, freq, date_range):\n+ if not has_cftime_1_4_1 and date_range == cftime_range:\n+ pytest.skip(\"Test requires cftime 1.4.1.\")\n+ if (freq == \"N\" or encoding_units == \"nanoseconds\") and date_range == cftime_range:\n+ pytest.skip(\"Nanosecond frequency is not valid for cftime dates.\")\n+ times = date_range(\"2000\", periods=3, freq=freq)\n units = f\"{encoding_units} since 2000-01-01\"\n encoded, _, _ = coding.times.encode_cf_datetime(times, units)\n \n@@ -987,7 +1009,7 @@ def test_encode_cf_datetime_defaults_to_correct_dtype(encoding_units, freq):\n \n \n @pytest.mark.parametrize(\"freq\", FREQUENCIES_TO_ENCODING_UNITS.keys())\n-def test_encode_decode_roundtrip(freq):\n+def test_encode_decode_roundtrip_datetime64(freq):\n # See GH 4045. Prior to GH 4684 this test would fail for frequencies of\n # \"S\", \"L\", \"U\", and \"N\".\n initial_time = pd.date_range(\"1678-01-01\", periods=1)\n@@ -998,6 +1020,19 @@ def test_encode_decode_roundtrip(freq):\n assert_equal(variable, decoded)\n \n \n+@requires_cftime_1_4_1\n+@pytest.mark.parametrize(\"freq\", [\"U\", \"L\", \"S\", \"T\", \"H\", \"D\"])\n+def test_encode_decode_roundtrip_cftime(freq):\n+ initial_time = cftime_range(\"0001\", periods=1)\n+ times = initial_time.append(\n+ cftime_range(\"0001\", periods=2, freq=freq) + timedelta(days=291000 * 365)\n+ )\n+ variable = Variable([\"time\"], times)\n+ encoded = conventions.encode_cf_variable(variable)\n+ decoded = conventions.decode_cf_variable(\"time\", encoded, use_cftime=True)\n+ assert_equal(variable, decoded)\n+\n+\n @requires_cftime\n def test__encode_datetime_with_cftime():\n # See GH 4870. cftime versions > 1.4.0 required us to adapt the\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex f619284437b..ac326342115 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -52,6 +52,13 @@ Deprecations\n \n New Features\n ~~~~~~~~~~~~\n+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O\n+ roundtripping of ``cftime.datetime`` objects (:pull:`4758`).\n+ By `Spencer Clark <https://github.com/spencerkclark>`_.\n+- :py:meth:`~xarray.cftime_range` and :py:meth:`DataArray.resample` now support\n+ millisecond (``\"L\"`` or ``\"ms\"``) and microsecond (``\"U\"`` or ``\"us\"``) frequencies\n+ for ``cftime.datetime`` coordinates (:issue:`4097`, :pull:`4758`).\n+ By `Spencer Clark <https://github.com/spencerkclark>`_.\n - Significantly higher ``unstack`` performance on numpy-backed arrays which\n contain missing values; 8x faster in our benchmark, and 2x faster than pandas.\n (:pull:`4746`);\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex f619284437b..ac326342115 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -52,6 +52,13 @@ Deprecations\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O\\n+ roundtripping of ``cftime.datetime`` objects (:pull:`4758`).\\n+ By `Spencer Clark <https://github.com/spencerkclark>`_.\\n+- :py:meth:`~xarray.cftime_range` and :py:meth:`DataArray.resample` now support\\n+ millisecond (``\\\"L\\\"`` or ``\\\"ms\\\"``) and microsecond (``\\\"U\\\"`` or ``\\\"us\\\"``) frequencies\\n+ for ``cftime.datetime`` coordinates (:issue:`4097`, :pull:`4758`).\\n+ By `Spencer Clark <https://github.com/spencerkclark>`_.\\n - Significantly higher ``unstack`` performance on numpy-backed arrays which\\n contain missing values; 8x faster in our benchmark, and 2x faster than pandas.\\n (:pull:`4746`);\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0017"},"base_commit":{"kind":"string","value":"46591d28d9fbbfc184aaf4075d330b1c8f070627"},"PASS2PASS":{"kind":"list like","value":["xarray/tests/test_accessor_dt.py::test_cftime_round_accessor[all_leap-True]","xarray/tests/test_coding_times.py::test_use_cftime_true[1500-standard]","xarray/tests/test_coding_times.py::test_cf_datetime[num_dates50-days since 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month=3>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<QuarterBegin: n=2, month=2>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[all_leap-(1, 12)-()-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_non_december[proleptic_gregorian]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-None-0001-01-04-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(1, 2, 1, 5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterEnd: n=1, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[julian-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[standard-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 1, 1, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[365_day-(1, 1, 1)-<YearEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearBegin: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-(1, 1, 1)-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[julian-(1, 1, 1)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(1, 1, 1, 5, 5, 5, 5)-<YearBegin: n=1, month=1>-(2, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[360_day-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=2, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<QuarterEnd: n=2, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[all_leap-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<YearEnd: n=1, month=12>-<YearEnd: n=-1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[julian-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[standard-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 12, 1)-<QuarterEnd: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_cftime_range_inputs[2000-2001-5-A-None]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_invalid_n[<class 'xarray.coding.cftime_offsets.YearBegin'>-1.5]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime_error_no_calendar\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[proleptic_gregorian-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[proleptic_gregorian-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(2, 2, 1)-<YearBegin: n=-1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[standard-(1, 12)-()-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[proleptic_gregorian-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[360_day-(1, 12)-()-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[julian-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[julian-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[360_day-(1, 1)-()-<QuarterEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[julian-(1, 2, 1)-<MonthEnd: n=14>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[365_day-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(1, 1, 1, 5, 5, 5, 5)-<YearBegin: n=1, month=1>-(2, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[proleptic_gregorian-(1, 3, 1)-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearEnd: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[gregorian-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(1, 12)-()-<YearEnd: n=2, month=12>-(3, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[366_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[365_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(1, 1, 1, 5, 5, 5, 5)-<YearBegin: n=1, month=1>-(2, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[360_day-(1, 3, 1)-<QuarterEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[366_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[ms-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_str_and_repr[<BaseCFTimeOffset: n=1>-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_valid_month[<QuarterBegin: n=1, month=5>-5]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[365_day-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[proleptic_gregorian-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(1, 3, 1)-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<QuarterBegin: n=1, month=3>-1]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[gregorian-(3, 12)-()-<YearEnd: n=-2, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<Millisecond: n=2>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-(1, 1, 1)-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[julian-(1, 1)-()-<YearEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(1, 1, 1)-<QuarterBegin: n=1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[all_leap-(1, 1, 7)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[julian-<Second: n=2>-(1, 1, 2, 23, 59, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[proleptic_gregorian-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<YearBegin: n=1, month=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-0-]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearEnd: n=1, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearBegin: n=2, month=2>-(1, 3, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_str_and_repr[<QuarterBegin: n=1, month=3>-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[366_day-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=2, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[360_day-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rule_code[<BaseCFTimeOffset: n=1>-None]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<YearEnd: n=2, month=12>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[all_leap-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[366_day-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[gregorian-(1, 1, 1)-<QuarterBegin: n=1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[proleptic_gregorian-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[366_day-(1, 1, 1)-<YearEnd: n=1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[gregorian-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[365_day-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[all_leap-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[360_day-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_cftime_range_inputs[None-None-None-None-None]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[standard-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(1, 1, 1)-<MonthEnd: n=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(1, 2, 1)-<MonthEnd: n=14>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 12, 1)-<YearEnd: n=1, month=12>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[all_leap-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(1, 1, 1, 5, 5, 5, 5)-<YearBegin: n=1, month=1>-(2, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[365_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(1, 3, 1)-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<QuarterEnd: n=1, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rule_code[<MonthBegin: n=1>-MS]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[julian-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(1, 1, 1)-<MonthEnd: n=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[proleptic_gregorian-(1, 1, 1)-<YearEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<QuarterEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[366_day-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<QuarterEnd: n=1, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[standard-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<QuarterEnd: n=2, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<Hour: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(1, 3, 1)-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.YearEnd'>-13-<class 'ValueError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<MonthBegin: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[standard-(1, 2)-()-<MonthEnd: n=14>-(2, 4)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[standard-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[360_day-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[julian-2001-2002-365]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[gregorian-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1)-<Second: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[366_day-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(1, 1, 1)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[360_day-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[360_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[julian-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(1, 3, 1)-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[365_day-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(1, 1, 1, 5, 5, 5, 5)-<YearBegin: n=1, month=1>-(2, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[360_day-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[360_day-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[365_day-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-None-0001-01-04-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<Millisecond: n=1>-<Millisecond: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_to_offset_str[AM]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<YearEnd: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[proleptic_gregorian-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(2, 2, 1)-<YearBegin: n=-1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearEnd: n=1, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[360_day-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<Second: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<Minute: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01-0001-01-04-None-D-right-False-[(1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(1, 3, 1)-<QuarterEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(1, 1, 1)-<YearBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[julian-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(2, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=-1, month=3>-(1, 12, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<QuarterEnd: n=1, month=3>-<QuarterEnd: n=3, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[365_day-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[360_day-(1, 12)-()-<QuarterEnd: n=2, month=3>-(2, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearBegin: n=2, month=2>-(1, 3, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[proleptic_gregorian-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 1, 1, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<QuarterBegin: n=1, month=3>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[julian-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range_name\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[gregorian-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[gregorian-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(2, 2, 1)-<YearBegin: n=-1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1)-<Minute: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_december[365_day]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[gregorian-(2, 12)-(5, 5, 5, 5)-<YearEnd: n=-1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<YearEnd: n=1, month=2>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[366_day-(1, 12)-()-<QuarterEnd: n=-1, month=3>-(1, 9)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[julian-(1, 12)-()-<YearEnd: n=2, month=12>-(3, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 5)-<MonthEnd: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[julian-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[all_leap-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1)-<Minute: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(1, 3, 1)-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<Day: n=1>-<Day: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[365_day-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[standard-(1, 3, 1)-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[365_day-(2, 12)-(5, 5, 5, 5)-<YearEnd: n=-1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_non_december[julian]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01-0001-01-04-4-None-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[360_day-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_dayofyear_after_cftime_range[D]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[standard-(1, 2, 1)-<MonthEnd: n=14>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[365_day-(1, 1)-()-<MonthEnd: n=1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[365_day-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[360_day-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-None-0001-01-04-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(1, 1, 1)-<QuarterBegin: n=1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[360_day-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[gregorian-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<YearBegin: n=1, month=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[all_leap-(2, 2, 1)-<YearBegin: n=-1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[360_day-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[gregorian-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<YearBegin: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(2, 2, 1)-<YearBegin: n=-1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[proleptic_gregorian-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[all_leap-<Millisecond: n=2>-(1, 1, 2, 23, 59, 59, 998000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearBegin: n=2, month=2>-(1, 3, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[366_day-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[365_day-(1, 1)-()-<YearEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[360_day-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[366_day-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 1, 1)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[standard-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[all_leap-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[julian-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[365_day-(2, 4, 1)-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterEnd: n=2, month=2>-(1, 3, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterEnd: n=1, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01-0001-01-04-None-D-right-False-[(1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[360_day-2000-2001-360]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearBegin: n=2, month=2>-(1, 3, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01-0001-01-04-4-None-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[365_day-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[365_day-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 1, 1, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(1, 1, 1)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[julian-(1, 1)-()-<QuarterEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[all_leap-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[all_leap-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[365_day-(1, 2, 1, 5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[360_day-<Second: n=2>-(1, 1, 2, 23, 59, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<YearEnd: n=1, month=12>-<YearEnd: n=3, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[all_leap-(2, 12)-(5, 5, 5, 5)-<YearEnd: n=-1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterEnd: n=2, month=2>-(1, 3, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[gregorian-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[all_leap-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[all_leap-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_specific_month_end[2M-360_day-[(2, 30), (4, 30), (6, 30), (8, 30), (10, 30), (12, 30)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<MonthEnd: n=2>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[gregorian-(1, 1)-()-<YearEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<Minute: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[standard-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<MonthEnd: n=1>-<MonthEnd: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[proleptic_gregorian-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2S-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[gregorian-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[all_leap-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[365_day-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[proleptic_gregorian-(2, 12)-()-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[366_day-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 1, 1, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[360_day-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[standard-(1, 1, 1)-<YearEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-3-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[julian-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[366_day-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[366_day-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-2-FEB]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<QuarterBegin: n=2, month=3>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<Day: n=1>-<Day: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[julian-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[gregorian-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<YearEnd: n=1, month=1>-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[julian-(2, 4, 1)-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<YearBegin: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[gregorian-(1, 12)-()-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[proleptic_gregorian-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<Microsecond: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<Second: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[360_day-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[all_leap-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[all_leap-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[366_day-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(1, 2, 1)-<MonthEnd: n=14>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[360_day-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[365_day-(2, 3, 1)-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearEnd: n=1, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 12, 1)-<YearEnd: n=1, month=12>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(1, 1, 1)-<QuarterBegin: n=1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-0-]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[gregorian-2000-2001-366]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<MonthEnd: n=1>-<MonthEnd: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-0-]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[gregorian-(1, 1, 1)-<YearEnd: n=1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-2-FEB]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2T-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1)-<Second: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 1, 7)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[360_day-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<YearEnd: n=1, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[proleptic_gregorian-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[all_leap-(3, 12)-()-<YearEnd: n=-2, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[julian-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 3, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<Minute: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_invalid_n[<class 'xarray.coding.cftime_offsets.BaseCFTimeOffset'>-1.5]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-(1, 1, 1)-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[gregorian-(1, 1)-()-<QuarterEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[standard-<Millisecond: n=2>-(1, 1, 2, 23, 59, 59, 998000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[julian-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[366_day-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<Millisecond: n=1>-<Millisecond: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[standard-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[S-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[standard-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[julian-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_valid_month[<YearEnd: n=1, month=12>-12]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<MonthEnd: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<YearBegin: n=1, month=2>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[proleptic_gregorian-(1, 3, 1)-<QuarterEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(2, 4, 1)-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 12, 1)-<YearEnd: n=1, month=12>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[366_day-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-0-]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(1, 1, 7)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[360_day-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[gregorian-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[365_day-(1, 1, 1)-<YearEnd: n=2, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<QuarterEnd: n=2, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[L-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[julian-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[all_leap-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[all_leap-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[365_day-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterEnd: n=1, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[proleptic_gregorian-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<Microsecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<YearEnd: n=1, month=12>-<YearEnd: n=3, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[all_leap-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1)-<Microsecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[365_day-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterEnd: n=1, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[proleptic_gregorian-(1, 12)-()-<QuarterEnd: n=2, month=3>-(2, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[MS-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[us-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_valid_month[<QuarterEnd: n=1, month=3>-3]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[all_leap-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[366_day-(2, 12)-(5, 5, 5, 5)-<YearEnd: n=-1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[standard-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[365_day-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[366_day-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<Microsecond: n=2>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(1, 1, 1)-<YearBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[julian-(1, 12)-()-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 3, 1)-<MonthBegin: n=-2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[julian-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[julian-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[all_leap-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearEnd: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(1, 2)-()-<MonthEnd: n=14>-(2, 4)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[365_day-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[proleptic_gregorian-(1, 2, 1, 5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearEnd: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[365_day-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_december[all_leap]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[366_day-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_valid_month[<YearBegin: n=1, month=5>-5]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 3, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(2, 3, 1)-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[360_day-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 3, 1)-<MonthBegin: n=-2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-3-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[all_leap-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[gregorian-<Minute: n=2>-(1, 1, 2, 23, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[standard-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[proleptic_gregorian-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[proleptic_gregorian-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearBegin: n=2, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[365_day-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[360_day-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 12, 1)-<QuarterEnd: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[gregorian-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<QuarterEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[proleptic_gregorian-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_to_offset_str[QS-]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(2, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=-1, month=3>-(1, 12, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 12, 1)-<QuarterEnd: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[365_day-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[standard-(1, 1)-()-<QuarterEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[365_day-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[standard-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterEnd: n=2, month=2>-(1, 3, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<Microsecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1)-<Minute: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 1, 1, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 12, 1)-<YearEnd: n=1, month=12>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[julian-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=2, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[standard-(2, 3, 1)-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[julian-(1, 3, 1)-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(1, 1, 7)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(2, 2, 1)-<YearBegin: n=-1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[all_leap-(1, 12)-()-<QuarterEnd: n=2, month=3>-(2, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[all_leap-(1, 1)-()-<QuarterEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[proleptic_gregorian-(1, 1, 1)-<MonthEnd: n=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[julian-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<QuarterEnd: n=2, month=2>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-None-0001-01-04-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[gregorian-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[360_day-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[gregorian-(2, 12)-()-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(2, 4, 1)-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 3, 1)-<MonthBegin: n=-2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(2, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=-1, month=3>-(1, 12, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[standard-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[julian-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[360_day-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<MonthBegin: n=2>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(1, 3, 1)-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearEnd: n=1, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterEnd: n=2, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[360_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[366_day-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[all_leap-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[standard-2000-2001-366]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[365_day-(1, 12)-()-<QuarterEnd: n=2, month=3>-(2, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2min-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[366_day-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_valid_month[<QuarterEnd: n=1, month=5>-5]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[365_day-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<MonthEnd: n=1>-<MonthEnd: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[360_day-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[julian-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<YearEnd: n=1, month=2>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearBegin: n=2, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(1, 1)-()-<MonthEnd: n=1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[julian-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<YearBegin: n=1, month=1>-<YearBegin: n=3, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[proleptic_gregorian-(3, 12)-()-<YearEnd: n=-2, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[standard-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[gregorian-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[all_leap-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[366_day-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_dayofweek_after_cftime_range[M]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[gregorian-<Millisecond: n=2>-(1, 1, 2, 23, 59, 59, 998000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[gregorian-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[365_day-(1, 1, 1)-<YearEnd: n=1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[proleptic_gregorian-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[gregorian-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<QuarterBegin: n=1, month=2>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterEnd: n=1, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[proleptic_gregorian-(1, 1)-()-<YearEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_valid_month[<YearBegin: n=1, month=1>-1]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[proleptic_gregorian-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[proleptic_gregorian-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 1, 1)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(1, 1, 7)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<YearEnd: n=2, month=2>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[366_day-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[julian-(1, 3, 1)-<QuarterEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-2-FEB]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<BaseCFTimeOffset: n=2>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[all_leap-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearBegin: n=2, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1)-<Microsecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[365_day-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[proleptic_gregorian-(1, 12)-()-<QuarterEnd: n=-1, month=3>-(1, 9)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-None-0001-01-04-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(1, 1, 1)-<YearBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[all_leap-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[proleptic_gregorian-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 12, 1)-<QuarterEnd: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[julian-(1, 1, 1)-<MonthEnd: n=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[proleptic_gregorian-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[gregorian-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(1, 1, 1)-<YearBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[julian-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[proleptic_gregorian-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[all_leap-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[360_day-(1, 12)-()-<YearEnd: n=2, month=12>-(3, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_non_december[360_day]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.QuarterEnd'>-1.5-<class 'TypeError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<YearBegin: n=1, month=1>-<YearBegin: n=-1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[366_day-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 12, 1)-<QuarterEnd: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(1, 1)-()-<MonthEnd: n=1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[365_day-(1, 3, 2)-<QuarterBegin: n=-1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[366_day-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[366_day-(1, 3, 1)-<QuarterEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[365_day-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<QuarterEnd: n=2, month=2>-(1, 3, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<YearBegin: n=1, month=1>-1]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[standard-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[365_day-(1, 3, 1)-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_december[360_day]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[360_day-(2, 12)-(5, 5, 5, 5)-<YearEnd: n=-1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[gregorian-(1, 1, 7)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[julian-(2, 12)-()-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[gregorian-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[julian-(3, 12)-()-<YearEnd: n=-2, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[365_day-(1, 1, 7)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[all_leap-(1, 1, 1)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[366_day-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[360_day-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[all_leap-(1, 1, 1, 5, 5, 5, 5)-<YearBegin: n=1, month=1>-(2, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 3, 1)-<MonthBegin: n=-2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<YearEnd: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[julian-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[365_day-<Second: n=2>-(1, 1, 2, 23, 59, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-(1, 1, 1)-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_to_offset_str[7min2]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(1, 2)-()-<MonthEnd: n=14>-(2, 4)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[360_day-(1, 12)-()-<QuarterEnd: n=-1, month=3>-(1, 9)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[366_day-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[365_day-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<Hour: n=1>-<Hour: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<QuarterEnd: n=1, month=3>-1]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<QuarterEnd: n=2, month=2>-(1, 3, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[all_leap-(1, 12)-()-<QuarterEnd: n=-1, month=3>-(1, 9)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[366_day-(2, 3, 1)-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-01-0001-01-04-None-D-left-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-01-0001-01-04-4-None-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<Day: n=1>-<Day: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[all_leap-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[365_day-(1, 1)-()-<QuarterEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_cftime_range_inputs[2000-2001-None-A-up]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 5)-<MonthEnd: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_december[standard]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(1, 3, 1)-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[360_day-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[366_day-(1, 12)-()-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 12, 1)-<QuarterEnd: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_specific_month_end[2M-all_leap-[(2, 29), (4, 30), (6, 30), (8, 31), (10, 31), (12, 31)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_invalid_n[<class 'xarray.coding.cftime_offsets.YearEnd'>-1.5]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 1, 1)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[gregorian-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[proleptic_gregorian-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[360_day-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[all_leap-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[gregorian-(1, 3, 1)-<QuarterEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<YearBegin: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[366_day-(1, 1, 1)-<YearEnd: n=2, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2us-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[gregorian-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.QuarterBegin'>-1.5-<class 'TypeError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[proleptic_gregorian-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-01-0001-01-04-None-D-left-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<BaseCFTimeOffset: n=1>-1]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[proleptic_gregorian-(2, 12)-(5, 5, 5, 5)-<YearEnd: n=-1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[all_leap-(2, 12)-()-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(1, 1, 1)-<QuarterBegin: n=1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[360_day-(1, 1, 1)-<YearEnd: n=1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[proleptic_gregorian-(1, 12)-()-<YearEnd: n=2, month=12>-(3, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<Hour: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<Minute: n=1>-<Minute: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearBegin: n=2, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<QuarterEnd: n=1, month=2>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[365_day-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[365_day-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[standard-<Minute: n=2>-(1, 1, 2, 23, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[julian-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 3, 1)-<MonthBegin: n=-2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearBegin: n=2, month=2>-(1, 3, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01-0001-01-04-None-D-left-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[standard-(1, 2, 1, 5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-None-0001-01-04-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(1, 2, 1)-<MonthEnd: n=14>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<YearEnd: n=1, month=12>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[julian-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearBegin: n=2, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[proleptic_gregorian-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[julian-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[standard-2001-2002-365]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[gregorian-(1, 12)-()-<YearEnd: n=2, month=12>-(3, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[365_day-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01-0001-01-04-4-None-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<YearEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[gregorian-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=2, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<YearEnd: n=1, month=12>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[julian-<Millisecond: n=2>-(1, 1, 2, 23, 59, 59, 998000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[proleptic_gregorian-<Second: n=2>-(1, 1, 2, 23, 59, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[gregorian-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterEnd: n=2, month=2>-(1, 3, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[gregorian-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[standard-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[standard-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-0-]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[proleptic_gregorian-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[366_day-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<Microsecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[365_day-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[gregorian-(1, 12)-()-<QuarterEnd: n=-1, month=3>-(1, 9)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 1, 7)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[proleptic_gregorian-(2, 4, 1)-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(1, 2)-()-<MonthEnd: n=14>-(2, 4)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[365_day-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<Minute: n=2>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_to_offset_str[AS-]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[standard-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[gregorian-<Second: n=2>-(1, 1, 2, 23, 59, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<Day: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(2, 12)-(5, 5, 5, 5)-<YearEnd: n=-1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[julian-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[all_leap-2001-2002-366]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-01-0001-01-04-4-None-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<MonthBegin: n=1>-<MonthBegin: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[standard-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-0-]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[gregorian-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[proleptic_gregorian-(1, 1, 1)-<YearEnd: n=1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[366_day-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[365_day-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[julian-(1, 12)-()-<QuarterEnd: n=-1, month=3>-(1, 9)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_non_december[gregorian]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[julian-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-3-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<QuarterBegin: n=1, month=3>-<QuarterBegin: n=-1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2M-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[360_day-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01-0001-01-04-None-D-right-False-[(1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[365_day-<Minute: n=2>-(1, 1, 2, 23, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[proleptic_gregorian-(1, 1, 1)-<YearEnd: n=2, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[365_day-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<Millisecond: n=1>-<Millisecond: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[365_day-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[proleptic_gregorian-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(1, 2)-()-<MonthEnd: n=14>-(2, 4)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 3, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[365_day-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[julian-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[365_day-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(2, 4, 1)-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[standard-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1)-<Second: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<BaseCFTimeOffset: n=1>-<BaseCFTimeOffset: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[gregorian-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[360_day-<Minute: n=2>-(1, 1, 2, 23, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[gregorian-2001-2002-365]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[julian-(1, 1, 1)-<YearEnd: n=1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[standard-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-01-0001-01-04-4-None-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(1, 1, 1)-<YearEnd: n=2, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<MonthEnd: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<Microsecond: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[julian-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[proleptic_gregorian-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 3, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[360_day-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[julian-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[366_day-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(1, 2)-()-<MonthEnd: n=14>-(2, 4)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[all_leap-(2, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=-1, month=3>-(1, 12, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[all_leap-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[proleptic_gregorian-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<YearBegin: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(1, 2, 1, 5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[U-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[standard-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[365_day-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<Microsecond: n=1>-<Microsecond: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[julian-(1, 3, 2)-<QuarterBegin: n=-1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[366_day-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[366_day-(1, 1, 1)-<YearEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[proleptic_gregorian-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<YearEnd: n=1, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-3-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<MonthBegin: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(1, 2, 1, 5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(1, 2, 1, 5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<Hour: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-06-01-None-4-3QS-JUN-None-False-[(1, 6, 1), (2, 3, 1), (2, 12, 1), (3, 9, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearEnd: n=1, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_offset_input[<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01-0001-01-04-None-D-left-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[standard-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[julian-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(1, 1, 1, 5, 5, 5, 5)-<YearBegin: n=1, month=1>-(2, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[standard-(1, 1, 1)-<MonthEnd: n=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[julian-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[366_day-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<QuarterBegin: n=1, month=3>-<QuarterBegin: n=3, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[proleptic_gregorian-<Millisecond: n=2>-(1, 1, 2, 23, 59, 59, 998000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[julian-2000-2001-366]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<YearBegin: n=2, month=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_to_offset_str[Z]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_offset_input[<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<QuarterEnd: n=1, month=3>-<QuarterEnd: n=-1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<Second: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[360_day-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 5)-<YearBegin: n=1, month=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<BaseCFTimeOffset: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.YearBegin'>-13-<class 'ValueError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[365_day-(1, 2, 1)-<MonthEnd: n=14>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[gregorian-(1, 3, 2)-<QuarterBegin: n=-1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[all_leap-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(1, 3, 1)-<YearEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<QuarterEnd: n=2, month=2>-(1, 3, 1)-(1, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-01-0001-01-04-None-D-right-False-[(1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_offset_input[<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[gregorian-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<QuarterBegin: n=1, month=2>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<QuarterEnd: n=1, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[gregorian-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<YearBegin: n=1, month=1>-<YearBegin: n=3, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[366_day-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[min-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-2-FEB]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<Microsecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<QuarterEnd: n=1, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearBegin: n=2, month=2>-(1, 2, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[365_day-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[D-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-9-SEP]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[proleptic_gregorian-0001-01-01-0001-01-04-None-D-right-False-[(1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<QuarterBegin: n=1, month=3>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<BaseCFTimeOffset: n=1>-<BaseCFTimeOffset: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[proleptic_gregorian-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=2, month=3>-(1, 6)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[standard-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[366_day-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01-0001-01-04-None-D-right-False-[(1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rule_code[<YearBegin: n=1, month=1>-AS-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_invalid_n[<class 'xarray.coding.cftime_offsets.QuarterEnd'>-1.5]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[365_day-(1, 1, 1)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 12, 1)-<YearEnd: n=1, month=12>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[365_day-(1, 3, 1)-<QuarterEnd: n=-1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_str_and_repr[<YearBegin: n=1, month=1>-<YearBegin: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[standard-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_dayofweek_after_cftime_range[D]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[360_day-2001-2002-360]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-2-FEB]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.QuarterBegin'>-13-<class 'ValueError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(1, 3, 2)-<QuarterBegin: n=-1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[all_leap-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<MonthBegin: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<Minute: n=1>-<Minute: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[all_leap-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[360_day-<Day: n=2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[360_day-(1, 1, 1)-<YearEnd: n=2, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<Hour: n=1>-<Hour: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[standard-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_valid_month[<YearEnd: n=1, month=5>-5]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<Second: n=1>-<Second: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[proleptic_gregorian-(1, 12)-()-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearEnd: n=2, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(2, 2, 1)-<QuarterBegin: n=-1, month=3>-(1, 12, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[360_day-(1, 1, 7)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<MonthBegin: n=1>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 3, 1)-<MonthBegin: n=-2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[366_day-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-(1, 1, 1)-0001-01-04-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(1, 3, 2)-<QuarterBegin: n=-1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_specific_month_end[2M-julian-[(2, 29), (4, 30), (6, 30), (8, 31), (10, 31), (12, 31)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[365_day-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=2, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(1, 1)-()-<MonthEnd: n=1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(1, 1, 1, 5, 5, 5, 5)-<MonthEnd: n=1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterEnd: n=1, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-2-FEB]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[gregorian-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_dayofyear_after_cftime_range[M]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[proleptic_gregorian-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<YearBegin: n=2, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[proleptic_gregorian-<Microsecond: n=2>-(1, 1, 2, 23, 59, 59, 999998)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[proleptic_gregorian-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<Day: n=2>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-12-DEC]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(2, 1, 1, 5, 5, 5, 5)-<YearBegin: n=-1, month=1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[360_day-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_specific_month_end[2M-gregorian-[(2, 29), (4, 30), (6, 30), (8, 31), (10, 31), (12, 31)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[M-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=3>-<BaseCFTimeOffset: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[julian-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<BaseCFTimeOffset: n=1>-<BaseCFTimeOffset: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[proleptic_gregorian-(2, 3, 1)-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[standard-(1, 1, 1)-<YearEnd: n=2, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 1, 1)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[julian-(2, 3, 1)-<QuarterEnd: n=-1, month=3>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[366_day-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[all_leap-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 12, 1)-<YearEnd: n=1, month=12>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<Microsecond: n=1>-<Microsecond: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[julian-(2, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=-1, month=3>-(1, 12, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<YearEnd: n=1, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-None-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[proleptic_gregorian-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(1, 1, 2)-<YearBegin: n=-1, month=1>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<BaseCFTimeOffset: n=2>-2]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<YearEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[standard-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(2, 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\"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[gregorian-(2, 2, 1)-<YearBegin: n=-1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[366_day-(2, 12)-()-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<BaseCFTimeOffset: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.QuarterEnd'>-0-<class 'ValueError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[all_leap-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.YearBegin'>-0-<class 'ValueError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(1, 1, 1)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-7-JUL]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<QuarterEnd: n=1, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<Minute: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[366_day-<Minute: n=2>-(1, 1, 2, 23, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-0001-01-01T01:00:00-0001-01-04-None-D-None-True-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[standard-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[julian-<Minute: n=2>-(1, 1, 2, 23, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 3, 1)-<MonthBegin: n=-2>-(1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[366_day-(1, 1)-()-<YearEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[standard-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[360_day-(2, 3, 1)-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.YearEnd'>-1.5-<class 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12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-01-0001-01-04-None-D-left-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<YearEnd: n=1, month=12>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range_standard_calendar_refers_to_gregorian\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<QuarterEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[proleptic_gregorian-<Minute: n=2>-(1, 1, 2, 23, 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1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2D-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[360_day-(1, 1)-()-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-None-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[julian-(1, 1, 1)-<YearEnd: n=2, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01-0001-01-04-None-D-left-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 1, 7)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(1, 1)-()-<MonthEnd: n=1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[360_day-<Hour: n=2>-(1, 1, 2, 22)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-3-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 3, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 5)-<MonthEnd: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearBegin: n=1, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[366_day-<Day: n=2>-(1, 1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[all_leap-(1, 1, 1)-<QuarterBegin: n=1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(1, 1)-()-<MonthEnd: n=1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[standard-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=1, month=12>-(1, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterBegin: n=1, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[proleptic_gregorian-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[julian-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearEnd: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[standard-(1, 1, 1)-<YearEnd: n=1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[366_day-<Second: n=2>-(1, 1, 1, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterEnd: n=1, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0010-None-4-<YearBegin: n=-2, month=1>-None-False-[(10, 1, 1), (8, 1, 1), (6, 1, 1), (4, 1, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[365_day-(1, 3, 1)-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[366_day-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01-0001-01-04-4-None-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<Second: n=1>-<Second: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[julian-(1, 1)-()-<QuarterEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-3-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-04-0001-01-01-None-D-None-False-[]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[gregorian-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[gregorian-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearBegin: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-01 01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_non_december[standard]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[standard-(1, 12)-()-<QuarterEnd: n=-1, month=3>-(1, 9)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<YearBegin: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[all_leap-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_december[gregorian]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 5)-<MonthEnd: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rmul[<Minute: n=1>-<Minute: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[proleptic_gregorian-(1, 12)-()-<QuarterEnd: n=-2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Hour: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01-None-4-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_cftime_range_inputs[None-2000-None-A-None]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(1, 2)-()-<MonthEnd: n=14>-(2, 4)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[365_day-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[proleptic_gregorian-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[360_day-(1, 1, 1)-<MonthEnd: n=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<QuarterEnd: n=2, month=3>-(1, 3, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[gregorian-(2, 4, 1)-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 5)-<MonthEnd: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 3, 5)-<QuarterBegin: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterEnd: n=2, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[all_leap-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<Day: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[julian-(1, 1, 1)-<QuarterEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[all_leap-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[366_day-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2MS-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[all_leap-2000-01-01-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<Hour: n=1>-<Hour: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[365_day-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<YearEnd: n=2, month=12>-2]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[all_leap-<Minute: n=2>-(1, 1, 1, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 12, 1)-<QuarterEnd: n=1, month=3>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(1, 3, 1)-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(1, 3, 2)-<QuarterBegin: n=-1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 2, 1)-<MonthBegin: n=14>-(2, 4, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(1, 3, 2)-<QuarterBegin: n=-1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.QuarterEnd'>-13-<class 'ValueError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-10-OCT]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_to_offset_str[1H1min]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[365_day-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[365_day-<Millisecond: n=2>-(1, 1, 2, 23, 59, 59, 998000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=2>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[365_day-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<QuarterBegin: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthBegin: n=1>-(1, 3, 2)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[all_leap-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[365_day-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<YearBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_non_december[365_day]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[standard-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=2, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<YearBegin: n=2, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[all_leap-<Minute: n=2>-(1, 1, 2, 23, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[365_day-(1, 1, 7)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<YearBegin: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[all_leap-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[gregorian-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 1, 1)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[proleptic_gregorian-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[366_day-(1, 12)-()-<YearEnd: n=2, month=12>-(3, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<QuarterEnd: n=1, month=2>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[360_day-<Millisecond: n=2>-(1, 1, 2, 23, 59, 59, 998000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[T-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[365_day-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[365_day-(2, 12)-()-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[gregorian-(1, 12)-()-<YearEnd: n=1, month=12>-(2, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 1, 1)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[gregorian-(1, 1, 1)-<QuarterEnd: n=2, month=3>-(1, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[julian-<Millisecond: n=2>-(1, 1, 1, 0, 0, 0, 2000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[julian-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[julian-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(2, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 1)-<Second: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(1, 3)-()-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[all_leap-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_radd_sub_monthly[all_leap-<Hour: n=2>-(1, 1, 1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(1, 1, 1)-<MonthEnd: n=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[366_day-(1, 12)-()-<QuarterEnd: n=2, month=3>-(2, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[standard-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<Second: n=2>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[366_day-(3, 12)-()-<YearEnd: n=-2, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 1, 7)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<QuarterEnd: n=2, month=3>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[365_day-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-3-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[julian-(1, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=1, month=3>-(1, 3, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neg[<MonthBegin: n=1>-<MonthBegin: n=-1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_specific_month_end[2M-noleap-[(2, 28), (4, 30), (6, 30), (8, 31), (10, 31), (12, 31)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[gregorian-0001-01-01T01:00:00-0001-01-04-None-D-None-False-[(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[366_day-(1, 1, 1)-<QuarterBegin: n=2, month=3>-(1, 6, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rule_code[<QuarterBegin: n=1, month=3>-QS-MAR]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[proleptic_gregorian-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[gregorian-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_december[proleptic_gregorian]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(1, 1, 1, 5, 5, 5, 5)-<YearEnd: n=2, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[366_day-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[360_day-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[standard-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<YearEnd: n=2, month=12>-(1, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[gregorian-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<QuarterEnd: n=2, month=3>-2]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearBegin: n=1, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[366_day-(1, 1, 1)-<MonthEnd: n=2>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<Second: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<Second: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 3, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(1, 1, 1)-<YearEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[julian-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_cftime_range_inputs[None-None-5-A-None]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[standard-<Second: n=2>-(1, 1, 2, 23, 59, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 1, 1)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[julian-(1, 1, 1, 5, 5, 5, 5)-<QuarterEnd: n=1, month=3>-(1, 3)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[standard-(1, 12)-()-<QuarterEnd: n=2, month=3>-(2, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<QuarterBegin: n=2, month=2>-(1, 4, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(1, 1)-(5, 5, 5, 5)-<MonthEnd: n=1>-(1, 2)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[QS-2-6-JUN]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 3, 1, 1)-<QuarterBegin: n=1, month=3>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_cftime_datetime[standard-(2000, 1, 1)-(2000, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_december[julian]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<QuarterBegin: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end[proleptic_gregorian-(1, 3, 1)-<MonthEnd: n=-2>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(1, 1, 1)-<YearBegin: n=1, month=1>-(2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1, 1)-<YearBegin: n=1, month=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<QuarterEnd: n=1, month=3>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[365_day-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[standard-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_specific_month_end[2M-standard-[(2, 29), (4, 30), (6, 30), (8, 31), (10, 31), (12, 31)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 1)-<Second: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<QuarterEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<YearBegin: n=2, month=1>-(1, 3, 1)-(1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearBegin: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 5)-<MonthBegin: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[366_day-0001-01-01-0001-01-04-None-D-right-False-[(1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[365_day-(1, 1, 1)-<QuarterEnd: n=1, month=3>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<MonthEnd: n=2>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[gregorian-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 1, 1, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[360_day-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[all_leap-(1, 1, 1)-<QuarterBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<MonthBegin: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_days_in_month_non_december[all_leap]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[julian-(1, 1, 1)-<YearEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_mul[<Second: n=1>-<Second: n=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-2-8-AUG]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[proleptic_gregorian-(2, 4)-()-<MonthEnd: n=-14>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<MonthEnd: n=1>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<YearBegin: n=2, month=1>-2]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=2>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<Millisecond: n=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[all_leap-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<YearEnd: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-2-11-NOV]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<Millisecond: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[360_day-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_offset_constructor_valid_n[<YearEnd: n=1, month=12>-1]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[gregorian-(1, 1, 5)-<MonthEnd: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[all_leap-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<Day: n=1>-(1, 3, 2, 1)-(1, 3, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearBegin: n=2, month=2>-(1, 3, 1)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Millisecond: n=1>-<Day: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[julian-(1, 12)-()-<QuarterEnd: n=2, month=3>-(2, 6)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-5-MAY]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterEnd: n=1, month=2>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[365_day-<QuarterEnd: n=2, month=4>-(1, 4, 30)-(1, 4)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(1, 1, 1)-<YearBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<MonthEnd: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<MonthEnd: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<QuarterEnd: n=2, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset[<Millisecond: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_eq[<YearBegin: n=2, month=2>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=12>-<Hour: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(1, 1)-()-<MonthEnd: n=1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[proleptic_gregorian-(2, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=-1, month=3>-(1, 12, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[proleptic_gregorian-(1, 1, 1)-<YearBegin: n=2, month=1>-(3, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[A-2-1-JAN]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[360_day-(1, 2)-(5, 5, 5, 5)-<MonthEnd: n=-1>-(1, 1)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[360_day-<QuarterEnd: n=2, month=3>-(2, 3, 1)-(1, 12)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_begin[standard-(1, 1, 1)-<YearBegin: n=1, month=2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Second: n=1>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<YearEnd: n=1, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<MonthBegin: n=2>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_annual[AS-None-0-]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearEnd: n=1, month=2>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 1, 7)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<QuarterBegin: n=2, month=3>-(1, 4, 1)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[360_day-(1, 1, 1)-<MonthBegin: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[366_day-<MonthEnd: n=1>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 3, 1)-<MonthBegin: n=-1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[366_day-(1, 3, 3)-<MonthBegin: n=-2>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[standard-<YearBegin: n=2, month=2>-(1, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[365_day-<Minute: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[365_day-(1, 1, 1)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<QuarterBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_year_offset_constructor_invalid_month[<class 'xarray.coding.cftime_offsets.YearBegin'>-1.5-<class 'TypeError'>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1)-<Minute: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<MonthBegin: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[julian-0001-01-30-0011-02-01-None-3AS-JUN-None-False-[(1, 6, 1), (4, 6, 1), (7, 6, 1), (10, 6, 1)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[gregorian-(1, 1, 1)-<YearEnd: n=1, month=1>-(1, 1)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[366_day-(1, 1, 1)-<Millisecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[all_leap-(1, 12)-()-<YearEnd: n=2, month=12>-(3, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_cftime_range[365_day-(1, 1, 1)-(1, 1, 4)-None-D-None-False-[(1, 1, 1), (1, 1, 2), (1, 1, 3), (1, 1, 4)]]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<MonthEnd: n=1>-(1, 3, 2)-(1, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[gregorian-<YearBegin: n=2, month=1>-(1, 3, 1)-(2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[all_leap-(1, 1, 7)-<MonthBegin: n=1>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[proleptic_gregorian-<Millisecond: n=1>-(1, 3, 2, 1, 1, 1, 1000)-(1, 3, 2, 1, 1, 1, 1000)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[366_day-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[standard-(1, 3, 3)-<MonthBegin: n=-1>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[360_day-(3, 12)-()-<YearEnd: n=-2, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_sub_monthly[standard-<Microsecond: n=2>-(1, 1, 1, 0, 0, 0, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[julian-<QuarterEnd: n=2, month=2>-(2, 3, 1)-(2, 2)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[proleptic_gregorian-<Hour: n=1>-(1, 3, 2, 1, 1)-(1, 3, 2, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-4-APR]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<QuarterBegin: n=1, month=3>-<YearBegin: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[360_day-(1, 1)-(1,)-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[julian-(1, 3)-()-<MonthEnd: n=-1>-(1, 2)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Microsecond: n=1>-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_dayofyear_after_cftime_range[A]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<YearBegin: n=1, month=1>-<Microsecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_cftime_range_inputs[2000-2001-None-None-None]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end[julian-(2, 3, 1)-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[gregorian-(1, 12)-(5, 5, 5, 5)-<YearEnd: n=1, month=12>-(2, 12)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[360_day-(1, 1)-()-<YearEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[360_day-(1, 1, 3, 5, 5, 5, 5)-<MonthBegin: n=-1>-(1, 1, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[H-<Hour: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_sub_annual[2L-<Millisecond: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 12, 1)-<YearEnd: n=1, month=12>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_rsub_sub_monthly[all_leap-<Second: n=2>-(1, 1, 2, 23, 59, 58)]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<YearBegin: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[gregorian-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 3)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[365_day-(1, 1, 5)-<MonthEnd: n=1>-False]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[julian-(1, 1, 1)-<QuarterBegin: n=1, month=3>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_calendar_year_length[all_leap-2000-2001-366]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthBegin: n=1>-<Minute: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_to_offset_str[M-]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<MonthEnd: n=1>-<Second: n=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[proleptic_gregorian-<QuarterBegin: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 1, 7)-<MonthBegin: n=2>-(1, 3, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[julian-(1, 1, 1)-<Microsecond: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[360_day-(2, 12)-()-<YearEnd: n=-1, month=12>-(1, 12)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[all_leap-(1, 12)-()-<QuarterEnd: n=1, month=3>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_offset_input[<YearBegin: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[360_day-(1, 12)-(5, 5, 5, 5)-<QuarterEnd: n=-1, month=3>-(1, 9)-(5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[standard-(1, 1, 1, 1)-<Day: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<BaseCFTimeOffset: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_end_onOffset[standard-(1, 1)-()-<MonthEnd: n=2>-(1, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Minute: n=1>-<YearEnd: n=2, month=12>]\",\n \"xarray/tests/test_cftime_offsets.py::test_to_offset_quarter[Q-None-2-FEB]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<Minute: n=1>-(1, 3, 2, 1, 1, 1)-(1, 3, 2, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_invalid_cftime_range_inputs[2000-None-None-A-None]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(2, 4, 1)-<MonthBegin: n=-14>-(1, 2, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_end_onOffset[standard-(1, 12)-()-<QuarterEnd: n=1, month=3>-(2, 3)-()]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[julian-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[standard-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<Microsecond: n=1>-(1, 3, 2, 1, 1, 1, 1)-(1, 3, 2, 1, 1, 1, 1)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_month_begin[julian-(1, 1, 1, 5, 5, 5, 5)-<MonthBegin: n=1>-(1, 2, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_add_quarter_begin[365_day-(2, 1, 1, 5, 5, 5, 5)-<QuarterBegin: n=-1, month=3>-(1, 12, 1, 5, 5, 5, 5)]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset_month_or_quarter_or_year_end[standard-(1, 1)-()-<YearEnd: n=1, month=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_neq[<Day: n=1>-<QuarterEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<MonthEnd: n=1>]\",\n \"xarray/tests/test_cftime_offsets.py::test_sub_error[standard-<YearEnd: n=1, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_minus_offset_error[<YearBegin: n=1, month=2>-<YearEnd: n=2, month=2>]\",\n \"xarray/tests/test_cftime_offsets.py::test_onOffset[all_leap-(1, 1, 1)-<Second: n=1>-True]\",\n \"xarray/tests/test_cftime_offsets.py::test_rollback[all_leap-<YearBegin: n=1, month=1>-(1, 1, 1)-(1, 1)]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"timedelta\"\n },\n {\n \"type\": \"class\",\n \"name\": \"Millisecond\"\n },\n {\n \"type\": \"field\",\n \"name\": \"Microsecond\"\n },\n {\n \"type\": \"field\",\n \"name\": \"Millisecond\"\n },\n {\n \"type\": \"class\",\n \"name\": \"Microsecond\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex f619284437b..ac326342115 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -52,6 +52,13 @@ Deprecations\n \n New Features\n ~~~~~~~~~~~~\n+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O\n+ roundtripping of ``cftime.datetime`` objects (:pull:`<PRID>`).\n+ By `<NAME>`_.\n+- :py:meth:`~xarray.cftime_range` and :py:meth:`DataArray.resample` now support\n+ millisecond (``\"L\"`` or ``\"ms\"``) and microsecond (``\"U\"`` or ``\"us\"``) frequencies\n+ for ``cftime.datetime`` coordinates (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n - Significantly higher ``unstack`` performance on numpy-backed arrays which\n contain missing values; 8x faster in our benchmark, and 2x faster than pandas.\n (:pull:`<PRID>`);\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex f619284437b..ac326342115 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -52,6 +52,13 @@ Deprecations\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O\\n+ roundtripping of ``cftime.datetime`` objects (:pull:`<PRID>`).\\n+ By `<NAME>`_.\\n+- :py:meth:`~xarray.cftime_range` and :py:meth:`DataArray.resample` now support\\n+ millisecond (``\\\"L\\\"`` or ``\\\"ms\\\"``) and microsecond (``\\\"U\\\"`` or ``\\\"us\\\"``) frequencies\\n+ for ``cftime.datetime`` coordinates (:issue:`<PRID>`, :pull:`<PRID>`).\\n+ By `<NAME>`_.\\n - Significantly higher ``unstack`` performance on numpy-backed arrays which\\n contain missing values; 8x faster in our benchmark, and 2x faster than pandas.\\n (:pull:`<PRID>`);\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex f619284437b..ac326342115 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -52,6 +52,13 @@ Deprecations\n \n New Features\n ~~~~~~~~~~~~\n+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O\n+ roundtripping of ``cftime.datetime`` objects (:pull:`<PRID>`).\n+ By `<NAME>`_.\n+- :py:meth:`~xarray.cftime_range` and :py:meth:`DataArray.resample` now support\n+ millisecond (``\"L\"`` or ``\"ms\"``) and microsecond (``\"U\"`` or ``\"us\"``) frequencies\n+ for ``cftime.datetime`` coordinates (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n - Significantly higher ``unstack`` performance on numpy-backed arrays which\n contain missing values; 8x faster in our benchmark, and 2x faster than pandas.\n (:pull:`<PRID>`);\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'timedelta'}, {'type': 'class', 'name': 'Millisecond'}, {'type': 'field', 'name': 'Microsecond'}, {'type': 'field', 'name': 'Millisecond'}, {'type': 'class', 'name': 'Microsecond'}]\n"}}},{"rowIdx":576,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4534"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4534"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex b10271b13f5..5d9a0263c35 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -298,6 +298,7 @@\n core.accessor_dt.DatetimeAccessor.is_quarter_start\n core.accessor_dt.DatetimeAccessor.is_year_end\n core.accessor_dt.DatetimeAccessor.is_year_start\n+ core.accessor_dt.DatetimeAccessor.isocalendar\n core.accessor_dt.DatetimeAccessor.microsecond\n core.accessor_dt.DatetimeAccessor.minute\n core.accessor_dt.DatetimeAccessor.month\ndiff --git a/doc/api.rst b/doc/api.rst\nindex 5e8a2be0ed4..ceab7dcc976 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -475,8 +475,6 @@ Datetimelike properties\n DataArray.dt.second\n DataArray.dt.microsecond\n DataArray.dt.nanosecond\n- DataArray.dt.weekofyear\n- DataArray.dt.week\n DataArray.dt.dayofweek\n DataArray.dt.weekday\n DataArray.dt.weekday_name\n@@ -500,6 +498,7 @@ Datetimelike properties\n \n DataArray.dt.floor\n DataArray.dt.ceil\n+ DataArray.dt.isocalendar\n DataArray.dt.round\n DataArray.dt.strftime\n \n@@ -896,3 +895,10 @@ Deprecated / Pending Deprecation\n Dataset.apply\n core.groupby.DataArrayGroupBy.apply\n core.groupby.DatasetGroupBy.apply\n+\n+.. autosummary::\n+ :toctree: generated/\n+ :template: autosummary/accessor_attribute.rst\n+\n+ DataArray.dt.weekofyear\n+ DataArray.dt.week\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9460fc08478..308aa400132 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,10 @@ v0.16.2 (unreleased)\n Breaking changes\n ~~~~~~~~~~~~~~~~\n \n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.weekofyear` and :py:attr:`~core.accessor_dt.DatetimeAccessor.week`\n+ have been deprecated. Use ``DataArray.dt.isocalendar().week``\n+ instead (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,\n+ `Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.\n - :py:attr:`DataArray.rolling` and :py:attr:`Dataset.rolling` no longer support passing ``keep_attrs``\n via its constructor. Pass ``keep_attrs`` via the applied function, i.e. use\n ``ds.rolling(...).mean(keep_attrs=False)`` instead of ``ds.rolling(..., keep_attrs=False).mean()``\n@@ -37,6 +41,10 @@ New Features\n By `Miguel Jimenez <https://github.com/Mikejmnez>`_ and `Wei Ji Leong <https://github.com/weiji14>`_.\n - Unary & binary operations follow the ``keep_attrs`` flag (:issue:`3490`, :issue:`4065`, :issue:`3433`, :issue:`3595`, :pull:`4195`).\n By `Deepak Cherian <https://github.com/dcherian>`_.\n+- Added :py:meth:`~core.accessor_dt.DatetimeAccessor.isocalendar()` that returns a Dataset\n+ with year, week, and weekday calculated according to the ISO 8601 calendar. Requires\n+ pandas version 1.1.0 or greater (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,\n+ `Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.\n - :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to\n limited regions of existing Zarr stores (:pull:`4035`).\n See :ref:`io.zarr.appending` for full details.\ndiff --git a/xarray/core/accessor_dt.py b/xarray/core/accessor_dt.py\nindex 96ef0f3b5de..3fc682f8c32 100644\n--- a/xarray/core/accessor_dt.py\n+++ b/xarray/core/accessor_dt.py\n@@ -1,3 +1,6 @@\n+import warnings\n+from distutils.version import LooseVersion\n+\n import numpy as np\n import pandas as pd\n \n@@ -40,6 +43,10 @@ def _access_through_series(values, name):\n if name == \"season\":\n months = values_as_series.dt.month.values\n field_values = _season_from_months(months)\n+ elif name == \"isocalendar\":\n+ # isocalendar returns iso- year, week, and weekday -> reshape\n+ field_values = np.array(values_as_series.dt.isocalendar(), dtype=np.int64)\n+ return field_values.T.reshape(3, *values.shape)\n else:\n field_values = getattr(values_as_series.dt, name).values\n return field_values.reshape(values.shape)\n@@ -72,7 +79,15 @@ def _get_date_field(values, name, dtype):\n if is_duck_dask_array(values):\n from dask.array import map_blocks\n \n- return map_blocks(access_method, values, name, dtype=dtype)\n+ new_axis = chunks = None\n+ # isocalendar adds adds an axis\n+ if name == \"isocalendar\":\n+ chunks = (3,) + values.chunksize\n+ new_axis = 0\n+\n+ return map_blocks(\n+ access_method, values, name, dtype=dtype, new_axis=new_axis, chunks=chunks\n+ )\n else:\n return access_method(values, name)\n \n@@ -304,6 +319,33 @@ def strftime(self, date_format):\n result, name=\"strftime\", coords=self._obj.coords, dims=self._obj.dims\n )\n \n+ def isocalendar(self):\n+ \"\"\"Dataset containing ISO year, week number, and weekday.\n+\n+ Note\n+ ----\n+ The iso year and weekday differ from the nominal year and weekday.\n+ \"\"\"\n+\n+ from .dataset import Dataset\n+\n+ if not is_np_datetime_like(self._obj.data.dtype):\n+ raise AttributeError(\"'CFTimeIndex' object has no attribute 'isocalendar'\")\n+\n+ if LooseVersion(pd.__version__) < \"1.1.0\":\n+ raise AttributeError(\"'isocalendar' not available in pandas < 1.1.0\")\n+\n+ values = _get_date_field(self._obj.data, \"isocalendar\", np.int64)\n+\n+ obj_type = type(self._obj)\n+ data_vars = {}\n+ for i, name in enumerate([\"year\", \"week\", \"weekday\"]):\n+ data_vars[name] = obj_type(\n+ values[i], name=name, coords=self._obj.coords, dims=self._obj.dims\n+ )\n+\n+ return Dataset(data_vars)\n+\n year = Properties._tslib_field_accessor(\n \"year\", \"The year of the datetime\", np.int64\n )\n@@ -326,9 +368,26 @@ def strftime(self, date_format):\n nanosecond = Properties._tslib_field_accessor(\n \"nanosecond\", \"The nanoseconds of the datetime\", np.int64\n )\n- weekofyear = Properties._tslib_field_accessor(\n- \"weekofyear\", \"The week ordinal of the year\", np.int64\n- )\n+\n+ @property\n+ def weekofyear(self):\n+ \"The week ordinal of the year\"\n+\n+ warnings.warn(\n+ \"dt.weekofyear and dt.week have been deprecated. Please use \"\n+ \"dt.isocalendar().week instead.\",\n+ FutureWarning,\n+ )\n+\n+ if LooseVersion(pd.__version__) < \"1.1.0\":\n+ weekofyear = Properties._tslib_field_accessor(\n+ \"weekofyear\", \"The week ordinal of the year\", np.int64\n+ ).fget(self)\n+ else:\n+ weekofyear = self.isocalendar().week\n+\n+ return weekofyear\n+\n week = weekofyear\n dayofweek = Properties._tslib_field_accessor(\n \"dayofweek\", \"The day of the week with Monday=0, Sunday=6\", np.int64\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_accessor_dt.py b/xarray/tests/test_accessor_dt.py\nindex ae5b0b6d7cf..984bfc763bc 100644\n--- a/xarray/tests/test_accessor_dt.py\n+++ b/xarray/tests/test_accessor_dt.py\n@@ -1,3 +1,5 @@\n+from distutils.version import LooseVersion\n+\n import numpy as np\n import pandas as pd\n import pytest\n@@ -67,10 +69,48 @@ def setup(self):\n ],\n )\n def test_field_access(self, field):\n+\n+ if LooseVersion(pd.__version__) >= \"1.1.0\" and field in [\"week\", \"weekofyear\"]:\n+ data = self.times.isocalendar()[\"week\"]\n+ else:\n+ data = getattr(self.times, field)\n+\n+ expected = xr.DataArray(data, name=field, coords=[self.times], dims=[\"time\"])\n+\n+ if field in [\"week\", \"weekofyear\"]:\n+ with pytest.warns(\n+ FutureWarning, match=\"dt.weekofyear and dt.week have been deprecated\"\n+ ):\n+ actual = getattr(self.data.time.dt, field)\n+ else:\n+ actual = getattr(self.data.time.dt, field)\n+\n+ assert_equal(expected, actual)\n+\n+ @pytest.mark.parametrize(\n+ \"field, pandas_field\",\n+ [\n+ (\"year\", \"year\"),\n+ (\"week\", \"week\"),\n+ (\"weekday\", \"day\"),\n+ ],\n+ )\n+ def test_isocalendar(self, field, pandas_field):\n+\n+ if LooseVersion(pd.__version__) < \"1.1.0\":\n+ with raises_regex(\n+ AttributeError, \"'isocalendar' not available in pandas < 1.1.0\"\n+ ):\n+ self.data.time.dt.isocalendar()[field]\n+ return\n+\n+ # pandas isocalendar has dtypy UInt32Dtype, convert to Int64\n+ expected = pd.Int64Index(getattr(self.times.isocalendar(), pandas_field))\n expected = xr.DataArray(\n- getattr(self.times, field), name=field, coords=[self.times], dims=[\"time\"]\n+ expected, name=field, coords=[self.times], dims=[\"time\"]\n )\n- actual = getattr(self.data.time.dt, field)\n+\n+ actual = self.data.time.dt.isocalendar()[field]\n assert_equal(expected, actual)\n \n def test_strftime(self):\n@@ -85,6 +125,7 @@ def test_not_datetime_type(self):\n with raises_regex(TypeError, \"dt\"):\n nontime_data.time.dt\n \n+ @pytest.mark.filterwarnings(\"ignore:dt.weekofyear and dt.week have been deprecated\")\n @requires_dask\n @pytest.mark.parametrize(\n \"field\",\n@@ -129,6 +170,39 @@ def test_dask_field_access(self, field):\n assert_chunks_equal(actual, dask_times_2d)\n assert_equal(actual.compute(), expected.compute())\n \n+ @requires_dask\n+ @pytest.mark.parametrize(\n+ \"field\",\n+ [\n+ \"year\",\n+ \"week\",\n+ \"weekday\",\n+ ],\n+ )\n+ def test_isocalendar_dask(self, field):\n+ import dask.array as da\n+\n+ if LooseVersion(pd.__version__) < \"1.1.0\":\n+ with raises_regex(\n+ AttributeError, \"'isocalendar' not available in pandas < 1.1.0\"\n+ ):\n+ self.data.time.dt.isocalendar()[field]\n+ return\n+\n+ expected = getattr(self.times_data.dt.isocalendar(), field)\n+\n+ dask_times_arr = da.from_array(self.times_arr, chunks=(5, 5, 50))\n+ dask_times_2d = xr.DataArray(\n+ dask_times_arr, coords=self.data.coords, dims=self.data.dims, name=\"data\"\n+ )\n+\n+ with raise_if_dask_computes():\n+ actual = dask_times_2d.dt.isocalendar()[field]\n+\n+ assert isinstance(actual.data, da.Array)\n+ assert_chunks_equal(actual, dask_times_2d)\n+ assert_equal(actual.compute(), expected.compute())\n+\n @requires_dask\n @pytest.mark.parametrize(\n \"method, parameters\",\n@@ -347,6 +421,15 @@ def test_field_access(data, field):\n assert_equal(result, expected)\n \n \n+@requires_cftime\n+def test_isocalendar_cftime(data):\n+\n+ with raises_regex(\n+ AttributeError, \"'CFTimeIndex' object has no attribute 'isocalendar'\"\n+ ):\n+ data.time.dt.isocalendar()\n+\n+\n @requires_cftime\n @pytest.mark.filterwarnings(\"ignore::RuntimeWarning\")\n def test_cftime_strftime_access(data):\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api-hidden.rst","old_path":"a/doc/api-hidden.rst","new_path":"b/doc/api-hidden.rst","metadata":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex b10271b13f5..5d9a0263c35 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -298,6 +298,7 @@\n core.accessor_dt.DatetimeAccessor.is_quarter_start\n core.accessor_dt.DatetimeAccessor.is_year_end\n core.accessor_dt.DatetimeAccessor.is_year_start\n+ core.accessor_dt.DatetimeAccessor.isocalendar\n core.accessor_dt.DatetimeAccessor.microsecond\n core.accessor_dt.DatetimeAccessor.minute\n core.accessor_dt.DatetimeAccessor.month\n"},{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex 5e8a2be0ed4..ceab7dcc976 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -475,8 +475,6 @@ Datetimelike properties\n DataArray.dt.second\n DataArray.dt.microsecond\n DataArray.dt.nanosecond\n- DataArray.dt.weekofyear\n- DataArray.dt.week\n DataArray.dt.dayofweek\n DataArray.dt.weekday\n DataArray.dt.weekday_name\n@@ -500,6 +498,7 @@ Datetimelike properties\n \n DataArray.dt.floor\n DataArray.dt.ceil\n+ DataArray.dt.isocalendar\n DataArray.dt.round\n DataArray.dt.strftime\n \n@@ -896,3 +895,10 @@ Deprecated / Pending Deprecation\n Dataset.apply\n core.groupby.DataArrayGroupBy.apply\n core.groupby.DatasetGroupBy.apply\n+\n+.. autosummary::\n+ :toctree: generated/\n+ :template: autosummary/accessor_attribute.rst\n+\n+ DataArray.dt.weekofyear\n+ DataArray.dt.week\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9460fc08478..308aa400132 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,10 @@ v0.16.2 (unreleased)\n Breaking changes\n ~~~~~~~~~~~~~~~~\n \n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.weekofyear` and :py:attr:`~core.accessor_dt.DatetimeAccessor.week`\n+ have been deprecated. Use ``DataArray.dt.isocalendar().week``\n+ instead (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,\n+ `Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.\n - :py:attr:`DataArray.rolling` and :py:attr:`Dataset.rolling` no longer support passing ``keep_attrs``\n via its constructor. Pass ``keep_attrs`` via the applied function, i.e. use\n ``ds.rolling(...).mean(keep_attrs=False)`` instead of ``ds.rolling(..., keep_attrs=False).mean()``\n@@ -37,6 +41,10 @@ New Features\n By `Miguel Jimenez <https://github.com/Mikejmnez>`_ and `Wei Ji Leong <https://github.com/weiji14>`_.\n - Unary & binary operations follow the ``keep_attrs`` flag (:issue:`3490`, :issue:`4065`, :issue:`3433`, :issue:`3595`, :pull:`4195`).\n By `Deepak Cherian <https://github.com/dcherian>`_.\n+- Added :py:meth:`~core.accessor_dt.DatetimeAccessor.isocalendar()` that returns a Dataset\n+ with year, week, and weekday calculated according to the ISO 8601 calendar. Requires\n+ pandas version 1.1.0 or greater (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,\n+ `Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.\n - :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to\n limited regions of existing Zarr stores (:pull:`4035`).\n See :ref:`io.zarr.appending` for full details.\n"}],"string":"[\n {\n \"path\": \"doc/api-hidden.rst\",\n \"old_path\": \"a/doc/api-hidden.rst\",\n \"new_path\": \"b/doc/api-hidden.rst\",\n \"metadata\": \"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\\nindex b10271b13f5..5d9a0263c35 100644\\n--- a/doc/api-hidden.rst\\n+++ b/doc/api-hidden.rst\\n@@ -298,6 +298,7 @@\\n core.accessor_dt.DatetimeAccessor.is_quarter_start\\n core.accessor_dt.DatetimeAccessor.is_year_end\\n core.accessor_dt.DatetimeAccessor.is_year_start\\n+ core.accessor_dt.DatetimeAccessor.isocalendar\\n core.accessor_dt.DatetimeAccessor.microsecond\\n core.accessor_dt.DatetimeAccessor.minute\\n core.accessor_dt.DatetimeAccessor.month\\n\"\n },\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 5e8a2be0ed4..ceab7dcc976 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -475,8 +475,6 @@ Datetimelike properties\\n DataArray.dt.second\\n DataArray.dt.microsecond\\n DataArray.dt.nanosecond\\n- DataArray.dt.weekofyear\\n- DataArray.dt.week\\n DataArray.dt.dayofweek\\n DataArray.dt.weekday\\n DataArray.dt.weekday_name\\n@@ -500,6 +498,7 @@ Datetimelike properties\\n \\n DataArray.dt.floor\\n DataArray.dt.ceil\\n+ DataArray.dt.isocalendar\\n DataArray.dt.round\\n DataArray.dt.strftime\\n \\n@@ -896,3 +895,10 @@ Deprecated / Pending Deprecation\\n Dataset.apply\\n core.groupby.DataArrayGroupBy.apply\\n core.groupby.DatasetGroupBy.apply\\n+\\n+.. autosummary::\\n+ :toctree: generated/\\n+ :template: autosummary/accessor_attribute.rst\\n+\\n+ DataArray.dt.weekofyear\\n+ DataArray.dt.week\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 9460fc08478..308aa400132 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -23,6 +23,10 @@ v0.16.2 (unreleased)\\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n \\n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.weekofyear` and :py:attr:`~core.accessor_dt.DatetimeAccessor.week`\\n+ have been deprecated. Use ``DataArray.dt.isocalendar().week``\\n+ instead (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,\\n+ `Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.\\n - :py:attr:`DataArray.rolling` and :py:attr:`Dataset.rolling` no longer support passing ``keep_attrs``\\n via its constructor. Pass ``keep_attrs`` via the applied function, i.e. use\\n ``ds.rolling(...).mean(keep_attrs=False)`` instead of ``ds.rolling(..., keep_attrs=False).mean()``\\n@@ -37,6 +41,10 @@ New Features\\n By `Miguel Jimenez <https://github.com/Mikejmnez>`_ and `Wei Ji Leong <https://github.com/weiji14>`_.\\n - Unary & binary operations follow the ``keep_attrs`` flag (:issue:`3490`, :issue:`4065`, :issue:`3433`, :issue:`3595`, :pull:`4195`).\\n By `Deepak Cherian <https://github.com/dcherian>`_.\\n+- Added :py:meth:`~core.accessor_dt.DatetimeAccessor.isocalendar()` that returns a Dataset\\n+ with year, week, and weekday calculated according to the ISO 8601 calendar. Requires\\n+ pandas version 1.1.0 or greater (:pull:`4534`). By `Mathias Hauser <https://github.com/mathause>`_,\\n+ `Maximilian Roos <https://github.com/max-sixty>`_, and `Spencer Clark <https://github.com/spencerkclark>`_.\\n - :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to\\n limited regions of existing Zarr stores (:pull:`4035`).\\n See :ref:`io.zarr.appending` for full details.\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"764ffc95af41602b7ba216bad4be438330c3dc45"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[is_leap_year]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[week-week]","xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[year-year]","xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[week]","xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[weekday-day]","xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[weekofyear]"],"string":"[\n \"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[week-week]\",\n \"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[year-year]\",\n \"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[week]\",\n \"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[weekday-day]\",\n \"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[weekofyear]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"distutils\"\n },\n {\n \"type\": \"field\",\n \"name\": \"__version__\"\n },\n {\n \"type\": \"field\",\n \"name\": \"FutureWarning\"\n },\n {\n \"type\": \"field\",\n \"name\": \"AttributeError\"\n },\n {\n \"type\": \"field\",\n \"name\": \"LooseVersion\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api-hidden.rst","old_path":"a/doc/api-hidden.rst","new_path":"b/doc/api-hidden.rst","metadata":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex b10271b13f5..5d9a0263c35 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -298,6 +298,7 @@\n core.accessor_dt.DatetimeAccessor.is_quarter_start\n core.accessor_dt.DatetimeAccessor.is_year_end\n core.accessor_dt.DatetimeAccessor.is_year_start\n+ core.accessor_dt.DatetimeAccessor.isocalendar\n core.accessor_dt.DatetimeAccessor.microsecond\n core.accessor_dt.DatetimeAccessor.minute\n core.accessor_dt.DatetimeAccessor.month\n"},{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex 5e8a2be0ed4..ceab7dcc976 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -475,8 +475,6 @@ Datetimelike properties\n DataArray.dt.second\n DataArray.dt.microsecond\n DataArray.dt.nanosecond\n- DataArray.dt.weekofyear\n- DataArray.dt.week\n DataArray.dt.dayofweek\n DataArray.dt.weekday\n DataArray.dt.weekday_name\n@@ -500,6 +498,7 @@ Datetimelike properties\n \n DataArray.dt.floor\n DataArray.dt.ceil\n+ DataArray.dt.isocalendar\n DataArray.dt.round\n DataArray.dt.strftime\n \n@@ -896,3 +895,10 @@ Deprecated / Pending Deprecation\n Dataset.apply\n core.groupby.DataArrayGroupBy.apply\n core.groupby.DatasetGroupBy.apply\n+\n+.. autosummary::\n+ :toctree: generated/\n+ :template: autosummary/accessor_attribute.rst\n+\n+ DataArray.dt.weekofyear\n+ DataArray.dt.week\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9460fc08478..308aa400132 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,10 @@ v0.16.2 (unreleased)\n Breaking changes\n ~~~~~~~~~~~~~~~~\n \n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.weekofyear` and :py:attr:`~core.accessor_dt.DatetimeAccessor.week`\n+ have been deprecated. Use ``DataArray.dt.isocalendar().week``\n+ instead (:pull:`<PRID>`). By `<NAME>`_,\n+ <NAME>_, and <NAME>_.\n - :py:attr:`DataArray.rolling` and :py:attr:`Dataset.rolling` no longer support passing ``keep_attrs``\n via its constructor. Pass ``keep_attrs`` via the applied function, i.e. use\n ``ds.rolling(...).mean(keep_attrs=False)`` instead of ``ds.rolling(..., keep_attrs=False).mean()``\n@@ -37,6 +41,10 @@ New Features\n By `<NAME>`_ and <NAME>_.\n - Unary & binary operations follow the ``keep_attrs`` flag (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :pull:`<PRID>`).\n By `<NAME>`_.\n+- Added :py:meth:`~core.accessor_dt.DatetimeAccessor.isocalendar()` that returns a Dataset\n+ with year, week, and weekday calculated according to the ISO 8601 calendar. Requires\n+ pandas version 1.1.0 or greater (:pull:`<PRID>`). By `<NAME>`_,\n+ <NAME>_, and <NAME>_.\n - :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to\n limited regions of existing Zarr stores (:pull:`<PRID>`).\n See :ref:`io.zarr.appending` for full details.\n"}],"string":"[\n {\n \"path\": \"doc/api-hidden.rst\",\n \"old_path\": \"a/doc/api-hidden.rst\",\n \"new_path\": \"b/doc/api-hidden.rst\",\n \"metadata\": \"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\\nindex b10271b13f5..5d9a0263c35 100644\\n--- a/doc/api-hidden.rst\\n+++ b/doc/api-hidden.rst\\n@@ -298,6 +298,7 @@\\n core.accessor_dt.DatetimeAccessor.is_quarter_start\\n core.accessor_dt.DatetimeAccessor.is_year_end\\n core.accessor_dt.DatetimeAccessor.is_year_start\\n+ core.accessor_dt.DatetimeAccessor.isocalendar\\n core.accessor_dt.DatetimeAccessor.microsecond\\n core.accessor_dt.DatetimeAccessor.minute\\n core.accessor_dt.DatetimeAccessor.month\\n\"\n },\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 5e8a2be0ed4..ceab7dcc976 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -475,8 +475,6 @@ Datetimelike properties\\n DataArray.dt.second\\n DataArray.dt.microsecond\\n DataArray.dt.nanosecond\\n- DataArray.dt.weekofyear\\n- DataArray.dt.week\\n DataArray.dt.dayofweek\\n DataArray.dt.weekday\\n DataArray.dt.weekday_name\\n@@ -500,6 +498,7 @@ Datetimelike properties\\n \\n DataArray.dt.floor\\n DataArray.dt.ceil\\n+ DataArray.dt.isocalendar\\n DataArray.dt.round\\n DataArray.dt.strftime\\n \\n@@ -896,3 +895,10 @@ Deprecated / Pending Deprecation\\n Dataset.apply\\n core.groupby.DataArrayGroupBy.apply\\n core.groupby.DatasetGroupBy.apply\\n+\\n+.. autosummary::\\n+ :toctree: generated/\\n+ :template: autosummary/accessor_attribute.rst\\n+\\n+ DataArray.dt.weekofyear\\n+ DataArray.dt.week\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 9460fc08478..308aa400132 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -23,6 +23,10 @@ v0.16.2 (unreleased)\\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n \\n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.weekofyear` and :py:attr:`~core.accessor_dt.DatetimeAccessor.week`\\n+ have been deprecated. Use ``DataArray.dt.isocalendar().week``\\n+ instead (:pull:`<PRID>`). By `<NAME>`_,\\n+ <NAME>_, and <NAME>_.\\n - :py:attr:`DataArray.rolling` and :py:attr:`Dataset.rolling` no longer support passing ``keep_attrs``\\n via its constructor. Pass ``keep_attrs`` via the applied function, i.e. use\\n ``ds.rolling(...).mean(keep_attrs=False)`` instead of ``ds.rolling(..., keep_attrs=False).mean()``\\n@@ -37,6 +41,10 @@ New Features\\n By `<NAME>`_ and <NAME>_.\\n - Unary & binary operations follow the ``keep_attrs`` flag (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :pull:`<PRID>`).\\n By `<NAME>`_.\\n+- Added :py:meth:`~core.accessor_dt.DatetimeAccessor.isocalendar()` that returns a Dataset\\n+ with year, week, and weekday calculated according to the ISO 8601 calendar. Requires\\n+ pandas version 1.1.0 or greater (:pull:`<PRID>`). By `<NAME>`_,\\n+ <NAME>_, and <NAME>_.\\n - :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to\\n limited regions of existing Zarr stores (:pull:`<PRID>`).\\n See :ref:`io.zarr.appending` for full details.\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex b10271b13f5..5d9a0263c35 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -298,6 +298,7 @@\n core.accessor_dt.DatetimeAccessor.is_quarter_start\n core.accessor_dt.DatetimeAccessor.is_year_end\n core.accessor_dt.DatetimeAccessor.is_year_start\n+ core.accessor_dt.DatetimeAccessor.isocalendar\n core.accessor_dt.DatetimeAccessor.microsecond\n core.accessor_dt.DatetimeAccessor.minute\n core.accessor_dt.DatetimeAccessor.month\n\ndiff --git a/doc/api.rst b/doc/api.rst\nindex 5e8a2be0ed4..ceab7dcc976 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -475,8 +475,6 @@ Datetimelike properties\n DataArray.dt.second\n DataArray.dt.microsecond\n DataArray.dt.nanosecond\n- DataArray.dt.weekofyear\n- DataArray.dt.week\n DataArray.dt.dayofweek\n DataArray.dt.weekday\n DataArray.dt.weekday_name\n@@ -500,6 +498,7 @@ Datetimelike properties\n \n DataArray.dt.floor\n DataArray.dt.ceil\n+ DataArray.dt.isocalendar\n DataArray.dt.round\n DataArray.dt.strftime\n \n@@ -896,3 +895,10 @@ Deprecated / Pending Deprecation\n Dataset.apply\n core.groupby.DataArrayGroupBy.apply\n core.groupby.DatasetGroupBy.apply\n+\n+.. autosummary::\n+ :toctree: generated/\n+ :template: autosummary/accessor_attribute.rst\n+\n+ DataArray.dt.weekofyear\n+ DataArray.dt.week\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9460fc08478..308aa400132 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,10 @@ v0.16.2 (unreleased)\n Breaking changes\n ~~~~~~~~~~~~~~~~\n \n+- :py:attr:`~core.accessor_dt.DatetimeAccessor.weekofyear` and :py:attr:`~core.accessor_dt.DatetimeAccessor.week`\n+ have been deprecated. Use ``DataArray.dt.isocalendar().week``\n+ instead (:pull:`<PRID>`). By `<NAME>`_,\n+ <NAME>_, and <NAME>_.\n - :py:attr:`DataArray.rolling` and :py:attr:`Dataset.rolling` no longer support passing ``keep_attrs``\n via its constructor. Pass ``keep_attrs`` via the applied function, i.e. use\n ``ds.rolling(...).mean(keep_attrs=False)`` instead of ``ds.rolling(..., keep_attrs=False).mean()``\n@@ -37,6 +41,10 @@ New Features\n By `<NAME>`_ and <NAME>_.\n - Unary & binary operations follow the ``keep_attrs`` flag (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :pull:`<PRID>`).\n By `<NAME>`_.\n+- Added :py:meth:`~core.accessor_dt.DatetimeAccessor.isocalendar()` that returns a Dataset\n+ with year, week, and weekday calculated according to the ISO 8601 calendar. Requires\n+ pandas version 1.1.0 or greater (:pull:`<PRID>`). By `<NAME>`_,\n+ <NAME>_, and <NAME>_.\n - :py:meth:`Dataset.to_zarr` now supports a ``region`` keyword for writing to\n limited regions of existing Zarr stores (:pull:`<PRID>`).\n See :ref:`io.zarr.appending` for full details.\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'distutils'}, {'type': 'field', 'name': '__version__'}, {'type': 'field', 'name': 'FutureWarning'}, {'type': 'field', 'name': 'AttributeError'}, {'type': 'field', 'name': 'LooseVersion'}]\n"}}},{"rowIdx":577,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-5568"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/5568"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex bb3a99bfbb0..0e34b13f9a5 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -686,6 +686,7 @@ Dataset methods\n open_zarr\n Dataset.to_netcdf\n Dataset.to_pandas\n+ Dataset.as_numpy\n Dataset.to_zarr\n save_mfdataset\n Dataset.to_array\n@@ -716,6 +717,8 @@ DataArray methods\n DataArray.to_pandas\n DataArray.to_series\n DataArray.to_dataframe\n+ DataArray.to_numpy\n+ DataArray.as_numpy\n DataArray.to_index\n DataArray.to_masked_array\n DataArray.to_cdms2\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8045e5d486f..38f152faf5c 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -56,6 +56,8 @@ New Features\n - Allow removal of the coordinate attribute ``coordinates`` on variables by setting ``.attrs['coordinates']= None``\n (:issue:`5510`).\n By `Elle Smith <https://github.com/ellesmith88>`_.\n+- Added :py:meth:`DataArray.to_numpy`, :py:meth:`DataArray.as_numpy`, and :py:meth:`Dataset.as_numpy`. (:pull:`5568`).\n+ By `Tom Nicholas <https://github.com/TomNicholas>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex b4d553c235a..d567da629ca 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -426,12 +426,12 @@ def __init__(\n self._close = None\n \n def _replace(\n- self,\n+ self: T_DataArray,\n variable: Variable = None,\n coords=None,\n name: Union[Hashable, None, Default] = _default,\n indexes=None,\n- ) -> \"DataArray\":\n+ ) -> T_DataArray:\n if variable is None:\n variable = self.variable\n if coords is None:\n@@ -623,7 +623,16 @@ def __len__(self) -> int:\n \n @property\n def data(self) -> Any:\n- \"\"\"The array's data as a dask or numpy array\"\"\"\n+ \"\"\"\n+ The DataArray's data as an array. The underlying array type\n+ (e.g. dask, sparse, pint) is preserved.\n+\n+ See Also\n+ --------\n+ DataArray.to_numpy\n+ DataArray.as_numpy\n+ DataArray.values\n+ \"\"\"\n return self.variable.data\n \n @data.setter\n@@ -632,13 +641,46 @@ def data(self, value: Any) -> None:\n \n @property\n def values(self) -> np.ndarray:\n- \"\"\"The array's data as a numpy.ndarray\"\"\"\n+ \"\"\"\n+ The array's data as a numpy.ndarray.\n+\n+ If the array's data is not a numpy.ndarray this will attempt to convert\n+ it naively using np.array(), which will raise an error if the array\n+ type does not support coercion like this (e.g. cupy).\n+ \"\"\"\n return self.variable.values\n \n @values.setter\n def values(self, value: Any) -> None:\n self.variable.values = value\n \n+ def to_numpy(self) -> np.ndarray:\n+ \"\"\"\n+ Coerces wrapped data to numpy and returns a numpy.ndarray.\n+\n+ See also\n+ --------\n+ DataArray.as_numpy : Same but returns the surrounding DataArray instead.\n+ Dataset.as_numpy\n+ DataArray.values\n+ DataArray.data\n+ \"\"\"\n+ return self.variable.to_numpy()\n+\n+ def as_numpy(self: T_DataArray) -> T_DataArray:\n+ \"\"\"\n+ Coerces wrapped data and coordinates into numpy arrays, returning a DataArray.\n+\n+ See also\n+ --------\n+ DataArray.to_numpy : Same but returns only the data as a numpy.ndarray object.\n+ Dataset.as_numpy : Converts all variables in a Dataset.\n+ DataArray.values\n+ DataArray.data\n+ \"\"\"\n+ coords = {k: v.as_numpy() for k, v in self._coords.items()}\n+ return self._replace(self.variable.as_numpy(), coords, indexes=self._indexes)\n+\n @property\n def _in_memory(self) -> bool:\n return self.variable._in_memory\n@@ -931,7 +973,7 @@ def persist(self, **kwargs) -> \"DataArray\":\n ds = self._to_temp_dataset().persist(**kwargs)\n return self._from_temp_dataset(ds)\n \n- def copy(self, deep: bool = True, data: Any = None) -> \"DataArray\":\n+ def copy(self: T_DataArray, deep: bool = True, data: Any = None) -> T_DataArray:\n \"\"\"Returns a copy of this array.\n \n If `deep=True`, a deep copy is made of the data array.\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex f3378ad9eda..650b3c80adf 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -1323,6 +1323,18 @@ def copy(self, deep: bool = False, data: Mapping = None) -> \"Dataset\":\n \n return self._replace(variables, attrs=attrs)\n \n+ def as_numpy(self: \"Dataset\") -> \"Dataset\":\n+ \"\"\"\n+ Coerces wrapped data and coordinates into numpy arrays, returning a Dataset.\n+\n+ See also\n+ --------\n+ DataArray.as_numpy\n+ DataArray.to_numpy : Returns only the data as a numpy.ndarray object.\n+ \"\"\"\n+ numpy_variables = {k: v.as_numpy() for k, v in self.variables.items()}\n+ return self._replace(variables=numpy_variables)\n+\n @property\n def _level_coords(self) -> Dict[str, Hashable]:\n \"\"\"Return a mapping of all MultiIndex levels and their corresponding\ndiff --git a/xarray/core/pycompat.py b/xarray/core/pycompat.py\nindex 9f47da6c8cc..d1649235006 100644\n--- a/xarray/core/pycompat.py\n+++ b/xarray/core/pycompat.py\n@@ -1,4 +1,5 @@\n from distutils.version import LooseVersion\n+from importlib import import_module\n \n import numpy as np\n \n@@ -6,42 +7,57 @@\n \n integer_types = (int, np.integer)\n \n-try:\n- import dask\n- import dask.array\n- from dask.base import is_dask_collection\n \n- dask_version = LooseVersion(dask.__version__)\n+class DuckArrayModule:\n+ \"\"\"\n+ Solely for internal isinstance and version checks.\n \n- # solely for isinstance checks\n- dask_array_type = (dask.array.Array,)\n+ Motivated by having to only import pint when required (as pint currently imports xarray)\n+ https://github.com/pydata/xarray/pull/5561#discussion_r664815718\n+ \"\"\"\n \n- def is_duck_dask_array(x):\n- return is_duck_array(x) and is_dask_collection(x)\n+ def __init__(self, mod):\n+ try:\n+ duck_array_module = import_module(mod)\n+ duck_array_version = LooseVersion(duck_array_module.__version__)\n+\n+ if mod == \"dask\":\n+ duck_array_type = (import_module(\"dask.array\").Array,)\n+ elif mod == \"pint\":\n+ duck_array_type = (duck_array_module.Quantity,)\n+ elif mod == \"cupy\":\n+ duck_array_type = (duck_array_module.ndarray,)\n+ elif mod == \"sparse\":\n+ duck_array_type = (duck_array_module.SparseArray,)\n+ else:\n+ raise NotImplementedError\n+\n+ except ImportError: # pragma: no cover\n+ duck_array_module = None\n+ duck_array_version = LooseVersion(\"0.0.0\")\n+ duck_array_type = ()\n \n+ self.module = duck_array_module\n+ self.version = duck_array_version\n+ self.type = duck_array_type\n+ self.available = duck_array_module is not None\n \n-except ImportError: # pragma: no cover\n- dask_version = LooseVersion(\"0.0.0\")\n- dask_array_type = ()\n- is_duck_dask_array = lambda _: False\n- is_dask_collection = lambda _: False\n \n-try:\n- # solely for isinstance checks\n- import sparse\n+def is_duck_dask_array(x):\n+ if DuckArrayModule(\"dask\").available:\n+ from dask.base import is_dask_collection\n+\n+ return is_duck_array(x) and is_dask_collection(x)\n+ else:\n+ return False\n+\n \n- sparse_version = LooseVersion(sparse.__version__)\n- sparse_array_type = (sparse.SparseArray,)\n-except ImportError: # pragma: no cover\n- sparse_version = LooseVersion(\"0.0.0\")\n- sparse_array_type = ()\n+dsk = DuckArrayModule(\"dask\")\n+dask_version = dsk.version\n+dask_array_type = dsk.type\n \n-try:\n- # solely for isinstance checks\n- import cupy\n+sp = DuckArrayModule(\"sparse\")\n+sparse_array_type = sp.type\n+sparse_version = sp.version\n \n- cupy_version = LooseVersion(cupy.__version__)\n- cupy_array_type = (cupy.ndarray,)\n-except ImportError: # pragma: no cover\n- cupy_version = LooseVersion(\"0.0.0\")\n- cupy_array_type = ()\n+cupy_array_type = DuckArrayModule(\"cupy\").type\ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex f57c4495a8a..3d9b5079da2 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -29,10 +29,12 @@\n from .indexing import BasicIndexer, OuterIndexer, VectorizedIndexer, as_indexable\n from .options import _get_keep_attrs\n from .pycompat import (\n+ DuckArrayModule,\n cupy_array_type,\n dask_array_type,\n integer_types,\n is_duck_dask_array,\n+ sparse_array_type,\n )\n from .utils import (\n NdimSizeLenMixin,\n@@ -259,7 +261,7 @@ def _as_array_or_item(data):\n \n TODO: remove this (replace with np.asarray) once these issues are fixed\n \"\"\"\n- data = data.get() if isinstance(data, cupy_array_type) else np.asarray(data)\n+ data = np.asarray(data)\n if data.ndim == 0:\n if data.dtype.kind == \"M\":\n data = np.datetime64(data, \"ns\")\n@@ -1069,6 +1071,29 @@ def chunk(self, chunks={}, name=None, lock=False):\n \n return self._replace(data=data)\n \n+ def to_numpy(self) -> np.ndarray:\n+ \"\"\"Coerces wrapped data to numpy and returns a numpy.ndarray\"\"\"\n+ # TODO an entrypoint so array libraries can choose coercion method?\n+ data = self.data\n+ # TODO first attempt to call .to_numpy() once some libraries implement it\n+ if isinstance(data, dask_array_type):\n+ data = data.compute()\n+ if isinstance(data, cupy_array_type):\n+ data = data.get()\n+ # pint has to be imported dynamically as pint imports xarray\n+ pint_array_type = DuckArrayModule(\"pint\").type\n+ if isinstance(data, pint_array_type):\n+ data = data.magnitude\n+ if isinstance(data, sparse_array_type):\n+ data = data.todense()\n+ data = np.asarray(data)\n+\n+ return data\n+\n+ def as_numpy(self: VariableType) -> VariableType:\n+ \"\"\"Coerces wrapped data into a numpy array, returning a Variable.\"\"\"\n+ return self._replace(data=self.to_numpy())\n+\n def _as_sparse(self, sparse_format=_default, fill_value=dtypes.NA):\n \"\"\"\n use sparse-array as backend.\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py\nindex 9029dc1c621..d757fb451cc 100644\n--- a/xarray/tests/__init__.py\n+++ b/xarray/tests/__init__.py\n@@ -83,6 +83,7 @@ def LooseVersion(vstring):\n has_numbagg, requires_numbagg = _importorskip(\"numbagg\")\n has_seaborn, requires_seaborn = _importorskip(\"seaborn\")\n has_sparse, requires_sparse = _importorskip(\"sparse\")\n+has_cupy, requires_cupy = _importorskip(\"cupy\")\n has_cartopy, requires_cartopy = _importorskip(\"cartopy\")\n # Need Pint 0.15 for __dask_tokenize__ tests for Quantity wrapped Dask Arrays\n has_pint_0_15, requires_pint_0_15 = _importorskip(\"pint\", minversion=\"0.15\")\ndiff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex b9f04085935..79370adb016 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -36,10 +36,12 @@\n has_dask,\n raise_if_dask_computes,\n requires_bottleneck,\n+ requires_cupy,\n requires_dask,\n requires_iris,\n requires_numbagg,\n requires_numexpr,\n+ requires_pint_0_15,\n requires_scipy,\n requires_sparse,\n source_ndarray,\n@@ -7375,3 +7377,87 @@ def test_drop_duplicates(keep):\n expected = xr.DataArray(data, dims=\"time\", coords={\"time\": time}, name=\"test\")\n result = ds.drop_duplicates(\"time\", keep=keep)\n assert_equal(expected, result)\n+\n+\n+class TestNumpyCoercion:\n+ # TODO once flexible indexes refactor complete also test coercion of dimension coords\n+ def test_from_numpy(self):\n+ da = xr.DataArray([1, 2, 3], dims=\"x\", coords={\"lat\": (\"x\", [4, 5, 6])})\n+\n+ assert_identical(da.as_numpy(), da)\n+ np.testing.assert_equal(da.to_numpy(), np.array([1, 2, 3]))\n+ np.testing.assert_equal(da[\"lat\"].to_numpy(), np.array([4, 5, 6]))\n+\n+ @requires_dask\n+ def test_from_dask(self):\n+ da = xr.DataArray([1, 2, 3], dims=\"x\", coords={\"lat\": (\"x\", [4, 5, 6])})\n+ da_chunked = da.chunk(1)\n+\n+ assert_identical(da_chunked.as_numpy(), da.compute())\n+ np.testing.assert_equal(da.to_numpy(), np.array([1, 2, 3]))\n+ np.testing.assert_equal(da[\"lat\"].to_numpy(), np.array([4, 5, 6]))\n+\n+ @requires_pint_0_15\n+ def test_from_pint(self):\n+ from pint import Quantity\n+\n+ arr = np.array([1, 2, 3])\n+ da = xr.DataArray(\n+ Quantity(arr, units=\"Pa\"),\n+ dims=\"x\",\n+ coords={\"lat\": (\"x\", Quantity(arr + 3, units=\"m\"))},\n+ )\n+\n+ expected = xr.DataArray(arr, dims=\"x\", coords={\"lat\": (\"x\", arr + 3)})\n+ assert_identical(da.as_numpy(), expected)\n+ np.testing.assert_equal(da.to_numpy(), arr)\n+ np.testing.assert_equal(da[\"lat\"].to_numpy(), arr + 3)\n+\n+ @requires_sparse\n+ def test_from_sparse(self):\n+ import sparse\n+\n+ arr = np.diagflat([1, 2, 3])\n+ sparr = sparse.COO.from_numpy(arr)\n+ da = xr.DataArray(\n+ sparr, dims=[\"x\", \"y\"], coords={\"elev\": ((\"x\", \"y\"), sparr + 3)}\n+ )\n+\n+ expected = xr.DataArray(\n+ arr, dims=[\"x\", \"y\"], coords={\"elev\": ((\"x\", \"y\"), arr + 3)}\n+ )\n+ assert_identical(da.as_numpy(), expected)\n+ np.testing.assert_equal(da.to_numpy(), arr)\n+\n+ @requires_cupy\n+ def test_from_cupy(self):\n+ import cupy as cp\n+\n+ arr = np.array([1, 2, 3])\n+ da = xr.DataArray(\n+ cp.array(arr), dims=\"x\", coords={\"lat\": (\"x\", cp.array(arr + 3))}\n+ )\n+\n+ expected = xr.DataArray(arr, dims=\"x\", coords={\"lat\": (\"x\", arr + 3)})\n+ assert_identical(da.as_numpy(), expected)\n+ np.testing.assert_equal(da.to_numpy(), arr)\n+\n+ @requires_dask\n+ @requires_pint_0_15\n+ def test_from_pint_wrapping_dask(self):\n+ import dask\n+ from pint import Quantity\n+\n+ arr = np.array([1, 2, 3])\n+ d = dask.array.from_array(arr)\n+ da = xr.DataArray(\n+ Quantity(d, units=\"Pa\"),\n+ dims=\"x\",\n+ coords={\"lat\": (\"x\", Quantity(d, units=\"m\") * 2)},\n+ )\n+\n+ result = da.as_numpy()\n+ result.name = None # remove dask-assigned name\n+ expected = xr.DataArray(arr, dims=\"x\", coords={\"lat\": (\"x\", arr * 2)})\n+ assert_identical(result, expected)\n+ np.testing.assert_equal(da.to_numpy(), arr)\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 317602c889f..f6fb4aa0cde 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -44,9 +44,11 @@\n has_dask,\n requires_bottleneck,\n requires_cftime,\n+ requires_cupy,\n requires_dask,\n requires_numbagg,\n requires_numexpr,\n+ requires_pint_0_15,\n requires_scipy,\n requires_sparse,\n source_ndarray,\n@@ -6760,3 +6762,74 @@ def test_clip(ds):\n \n result = ds.clip(min=ds.mean(\"y\"), max=ds.mean(\"y\"))\n assert result.dims == ds.dims\n+\n+\n+class TestNumpyCoercion:\n+ def test_from_numpy(self):\n+ ds = xr.Dataset({\"a\": (\"x\", [1, 2, 3])}, coords={\"lat\": (\"x\", [4, 5, 6])})\n+\n+ assert_identical(ds.as_numpy(), ds)\n+\n+ @requires_dask\n+ def test_from_dask(self):\n+ ds = xr.Dataset({\"a\": (\"x\", [1, 2, 3])}, coords={\"lat\": (\"x\", [4, 5, 6])})\n+ ds_chunked = ds.chunk(1)\n+\n+ assert_identical(ds_chunked.as_numpy(), ds.compute())\n+\n+ @requires_pint_0_15\n+ def test_from_pint(self):\n+ from pint import Quantity\n+\n+ arr = np.array([1, 2, 3])\n+ ds = xr.Dataset(\n+ {\"a\": (\"x\", Quantity(arr, units=\"Pa\"))},\n+ coords={\"lat\": (\"x\", Quantity(arr + 3, units=\"m\"))},\n+ )\n+\n+ expected = xr.Dataset({\"a\": (\"x\", [1, 2, 3])}, coords={\"lat\": (\"x\", arr + 3)})\n+ assert_identical(ds.as_numpy(), expected)\n+\n+ @requires_sparse\n+ def test_from_sparse(self):\n+ import sparse\n+\n+ arr = np.diagflat([1, 2, 3])\n+ sparr = sparse.COO.from_numpy(arr)\n+ ds = xr.Dataset(\n+ {\"a\": ([\"x\", \"y\"], sparr)}, coords={\"elev\": ((\"x\", \"y\"), sparr + 3)}\n+ )\n+\n+ expected = xr.Dataset(\n+ {\"a\": ([\"x\", \"y\"], arr)}, coords={\"elev\": ((\"x\", \"y\"), arr + 3)}\n+ )\n+ assert_identical(ds.as_numpy(), expected)\n+\n+ @requires_cupy\n+ def test_from_cupy(self):\n+ import cupy as cp\n+\n+ arr = np.array([1, 2, 3])\n+ ds = xr.Dataset(\n+ {\"a\": (\"x\", cp.array(arr))}, coords={\"lat\": (\"x\", cp.array(arr + 3))}\n+ )\n+\n+ expected = xr.Dataset({\"a\": (\"x\", [1, 2, 3])}, coords={\"lat\": (\"x\", arr + 3)})\n+ assert_identical(ds.as_numpy(), expected)\n+\n+ @requires_dask\n+ @requires_pint_0_15\n+ def test_from_pint_wrapping_dask(self):\n+ import dask\n+ from pint import Quantity\n+\n+ arr = np.array([1, 2, 3])\n+ d = dask.array.from_array(arr)\n+ ds = xr.Dataset(\n+ {\"a\": (\"x\", Quantity(d, units=\"Pa\"))},\n+ coords={\"lat\": (\"x\", Quantity(d, units=\"m\") * 2)},\n+ )\n+\n+ result = ds.as_numpy()\n+ expected = xr.Dataset({\"a\": (\"x\", arr)}, coords={\"lat\": (\"x\", arr * 2)})\n+ assert_identical(result, expected)\ndiff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py\nindex 0247892931a..d999bc1eb8b 100644\n--- a/xarray/tests/test_variable.py\n+++ b/xarray/tests/test_variable.py\n@@ -33,7 +33,9 @@\n assert_equal,\n assert_identical,\n raise_if_dask_computes,\n+ requires_cupy,\n requires_dask,\n+ requires_pint_0_15,\n requires_sparse,\n source_ndarray,\n )\n@@ -2554,3 +2556,68 @@ def test_clip(var):\n var.mean(\"z\").data[:, :, np.newaxis],\n ),\n )\n+\n+\n+@pytest.mark.parametrize(\"Var\", [Variable, IndexVariable])\n+class TestNumpyCoercion:\n+ def test_from_numpy(self, Var):\n+ v = Var(\"x\", [1, 2, 3])\n+\n+ assert_identical(v.as_numpy(), v)\n+ np.testing.assert_equal(v.to_numpy(), np.array([1, 2, 3]))\n+\n+ @requires_dask\n+ def test_from_dask(self, Var):\n+ v = Var(\"x\", [1, 2, 3])\n+ v_chunked = v.chunk(1)\n+\n+ assert_identical(v_chunked.as_numpy(), v.compute())\n+ np.testing.assert_equal(v.to_numpy(), np.array([1, 2, 3]))\n+\n+ @requires_pint_0_15\n+ def test_from_pint(self, Var):\n+ from pint import Quantity\n+\n+ arr = np.array([1, 2, 3])\n+ v = Var(\"x\", Quantity(arr, units=\"m\"))\n+\n+ assert_identical(v.as_numpy(), Var(\"x\", arr))\n+ np.testing.assert_equal(v.to_numpy(), arr)\n+\n+ @requires_sparse\n+ def test_from_sparse(self, Var):\n+ if Var is IndexVariable:\n+ pytest.skip(\"Can't have 2D IndexVariables\")\n+\n+ import sparse\n+\n+ arr = np.diagflat([1, 2, 3])\n+ sparr = sparse.COO(coords=[[0, 1, 2], [0, 1, 2]], data=[1, 2, 3])\n+ v = Variable([\"x\", \"y\"], sparr)\n+\n+ assert_identical(v.as_numpy(), Variable([\"x\", \"y\"], arr))\n+ np.testing.assert_equal(v.to_numpy(), arr)\n+\n+ @requires_cupy\n+ def test_from_cupy(self, Var):\n+ import cupy as cp\n+\n+ arr = np.array([1, 2, 3])\n+ v = Var(\"x\", cp.array(arr))\n+\n+ assert_identical(v.as_numpy(), Var(\"x\", arr))\n+ np.testing.assert_equal(v.to_numpy(), arr)\n+\n+ @requires_dask\n+ @requires_pint_0_15\n+ def test_from_pint_wrapping_dask(self, Var):\n+ import dask\n+ from pint import Quantity\n+\n+ arr = np.array([1, 2, 3])\n+ d = dask.array.from_array(np.array([1, 2, 3]))\n+ v = Var(\"x\", Quantity(d, units=\"m\"))\n+\n+ result = v.as_numpy()\n+ assert_identical(result, Var(\"x\", arr))\n+ np.testing.assert_equal(v.to_numpy(), arr)\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex bb3a99bfbb0..0e34b13f9a5 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -686,6 +686,7 @@ Dataset methods\n open_zarr\n Dataset.to_netcdf\n Dataset.to_pandas\n+ Dataset.as_numpy\n Dataset.to_zarr\n save_mfdataset\n Dataset.to_array\n@@ -716,6 +717,8 @@ DataArray methods\n DataArray.to_pandas\n DataArray.to_series\n DataArray.to_dataframe\n+ DataArray.to_numpy\n+ DataArray.as_numpy\n DataArray.to_index\n DataArray.to_masked_array\n DataArray.to_cdms2\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8045e5d486f..38f152faf5c 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -56,6 +56,8 @@ New Features\n - Allow removal of the coordinate attribute ``coordinates`` on variables by setting ``.attrs['coordinates']= None``\n (:issue:`5510`).\n By `Elle Smith <https://github.com/ellesmith88>`_.\n+- Added :py:meth:`DataArray.to_numpy`, :py:meth:`DataArray.as_numpy`, and :py:meth:`Dataset.as_numpy`. (:pull:`5568`).\n+ By `Tom Nicholas <https://github.com/TomNicholas>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex bb3a99bfbb0..0e34b13f9a5 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -686,6 +686,7 @@ Dataset methods\\n open_zarr\\n Dataset.to_netcdf\\n Dataset.to_pandas\\n+ Dataset.as_numpy\\n Dataset.to_zarr\\n save_mfdataset\\n Dataset.to_array\\n@@ -716,6 +717,8 @@ DataArray methods\\n DataArray.to_pandas\\n DataArray.to_series\\n DataArray.to_dataframe\\n+ DataArray.to_numpy\\n+ DataArray.as_numpy\\n DataArray.to_index\\n DataArray.to_masked_array\\n DataArray.to_cdms2\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 8045e5d486f..38f152faf5c 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -56,6 +56,8 @@ New Features\\n - Allow removal of the coordinate attribute ``coordinates`` on variables by setting ``.attrs['coordinates']= None``\\n (:issue:`5510`).\\n By `Elle Smith <https://github.com/ellesmith88>`_.\\n+- Added :py:meth:`DataArray.to_numpy`, :py:meth:`DataArray.as_numpy`, and :py:meth:`Dataset.as_numpy`. (:pull:`5568`).\\n+ By `Tom Nicholas <https://github.com/TomNicholas>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0019"},"base_commit":{"kind":"string","value":"86ca67ed67dbf605b50c682fa374471c012a3e35"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataset.py::test_rolling_reduce[numpy-median-2-None-True-1]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_coordinate_diff\",\n \"xarray/tests/test_accessor_dt.py::test_dask_field_access_1d[proleptic_gregorian-year]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[dask-var-1-None-False-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_rename_does_not_change_CFTimeIndex_type\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[dask-sum-3-2-True-1]\",\n \"xarray/tests/test_dataarray.py::test_ndrolling_reduce[dask-mean-1-False-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[dask-min-3-3-True-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_get_index\",\n \"xarray/tests/test_variable.py::TestVariable::test_getitem_fancy\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-sum-2-1-True-1]\",\n \"xarray/tests/test_accessor_dt.py::test_dask_field_access_1d[all_leap-day]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[numpy-std-2-2-True-2]\",\n \"xarray/tests/test_variable.py::TestVariable::test_datetime64_conversion_scalar\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_variable.py::TestNumpyCoercion::test_from_numpy[IndexVariable]","xarray/tests/test_dataset.py::TestNumpyCoercion::test_from_dask","xarray/tests/test_dataarray.py::TestNumpyCoercion::test_from_dask","xarray/tests/test_dataset.py::TestNumpyCoercion::test_from_numpy","xarray/tests/test_variable.py::TestNumpyCoercion::test_from_numpy[Variable]","xarray/tests/test_variable.py::TestNumpyCoercion::test_from_dask[IndexVariable]","xarray/tests/test_variable.py::TestNumpyCoercion::test_from_dask[Variable]","xarray/tests/test_dataarray.py::TestNumpyCoercion::test_from_numpy"],"string":"[\n \"xarray/tests/test_variable.py::TestNumpyCoercion::test_from_numpy[IndexVariable]\",\n \"xarray/tests/test_dataset.py::TestNumpyCoercion::test_from_dask\",\n \"xarray/tests/test_dataarray.py::TestNumpyCoercion::test_from_dask\",\n \"xarray/tests/test_dataset.py::TestNumpyCoercion::test_from_numpy\",\n \"xarray/tests/test_variable.py::TestNumpyCoercion::test_from_numpy[Variable]\",\n \"xarray/tests/test_variable.py::TestNumpyCoercion::test_from_dask[IndexVariable]\",\n \"xarray/tests/test_variable.py::TestNumpyCoercion::test_from_dask[Variable]\",\n \"xarray/tests/test_dataarray.py::TestNumpyCoercion::test_from_numpy\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"Quantity\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex bb3a99bfbb0..0e34b13f9a5 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -686,6 +686,7 @@ Dataset methods\n open_zarr\n Dataset.to_netcdf\n Dataset.to_pandas\n+ Dataset.as_numpy\n Dataset.to_zarr\n save_mfdataset\n Dataset.to_array\n@@ -716,6 +717,8 @@ DataArray methods\n DataArray.to_pandas\n DataArray.to_series\n DataArray.to_dataframe\n+ DataArray.to_numpy\n+ DataArray.as_numpy\n DataArray.to_index\n DataArray.to_masked_array\n DataArray.to_cdms2\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8045e5d486f..38f152faf5c 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -56,6 +56,8 @@ New Features\n - Allow removal of the coordinate attribute ``coordinates`` on variables by setting ``.attrs['coordinates']= None``\n (:issue:`<PRID>`).\n By `<NAME>`_.\n+- Added :py:meth:`DataArray.to_numpy`, :py:meth:`DataArray.as_numpy`, and :py:meth:`Dataset.as_numpy`. (:pull:`<PRID>`).\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex bb3a99bfbb0..0e34b13f9a5 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -686,6 +686,7 @@ Dataset methods\\n open_zarr\\n Dataset.to_netcdf\\n Dataset.to_pandas\\n+ Dataset.as_numpy\\n Dataset.to_zarr\\n save_mfdataset\\n Dataset.to_array\\n@@ -716,6 +717,8 @@ DataArray methods\\n DataArray.to_pandas\\n DataArray.to_series\\n DataArray.to_dataframe\\n+ DataArray.to_numpy\\n+ DataArray.as_numpy\\n DataArray.to_index\\n DataArray.to_masked_array\\n DataArray.to_cdms2\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 8045e5d486f..38f152faf5c 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -56,6 +56,8 @@ New Features\\n - Allow removal of the coordinate attribute ``coordinates`` on variables by setting ``.attrs['coordinates']= None``\\n (:issue:`<PRID>`).\\n By `<NAME>`_.\\n+- Added :py:meth:`DataArray.to_numpy`, :py:meth:`DataArray.as_numpy`, and :py:meth:`Dataset.as_numpy`. (:pull:`<PRID>`).\\n+ By `<NAME>`_.\\n \\n Breaking changes\\n ~~~~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex bb3a99bfbb0..0e34b13f9a5 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -686,6 +686,7 @@ Dataset methods\n open_zarr\n Dataset.to_netcdf\n Dataset.to_pandas\n+ Dataset.as_numpy\n Dataset.to_zarr\n save_mfdataset\n Dataset.to_array\n@@ -716,6 +717,8 @@ DataArray methods\n DataArray.to_pandas\n DataArray.to_series\n DataArray.to_dataframe\n+ DataArray.to_numpy\n+ DataArray.as_numpy\n DataArray.to_index\n DataArray.to_masked_array\n DataArray.to_cdms2\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8045e5d486f..38f152faf5c 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -56,6 +56,8 @@ New Features\n - Allow removal of the coordinate attribute ``coordinates`` on variables by setting ``.attrs['coordinates']= None``\n (:issue:`<PRID>`).\n By `<NAME>`_.\n+- Added :py:meth:`DataArray.to_numpy`, :py:meth:`DataArray.as_numpy`, and :py:meth:`Dataset.as_numpy`. (:pull:`<PRID>`).\n+ By `<NAME>`_.\n \n Breaking changes\n ~~~~~~~~~~~~~~~~\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'Quantity'}]\n"}}},{"rowIdx":578,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4819"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4819"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex ceab7dcc976..9cb02441d37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -126,6 +126,7 @@ Indexing\n Dataset.isel\n Dataset.sel\n Dataset.drop_sel\n+ Dataset.drop_isel\n Dataset.head\n Dataset.tail\n Dataset.thin\n@@ -307,6 +308,7 @@ Indexing\n DataArray.isel\n DataArray.sel\n DataArray.drop_sel\n+ DataArray.drop_isel\n DataArray.head\n DataArray.tail\n DataArray.thin\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 88994a5bfc0..717a40f37ec 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -80,6 +80,7 @@ Bug fixes\n - Expand user directory paths (e.g. ``~/``) in :py:func:`open_mfdataset` and\n :py:meth:`Dataset.to_zarr` (:issue:`4783`, :pull:`4795`).\n By `Julien Seguinot <https://github.com/juseg>`_.\n+- Add :py:meth:`Dataset.drop_isel` and :py:meth:`DataArray.drop_isel` (:issue:`4658`, :pull:`4819`). By `Daniel Mesejo <https://github.com/mesejo>`_.\n \n Documentation\n ~~~~~~~~~~~~~\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 6fdda8fc418..ed645c06e27 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -2247,6 +2247,28 @@ def drop_sel(\n ds = self._to_temp_dataset().drop_sel(labels, errors=errors)\n return self._from_temp_dataset(ds)\n \n+ def drop_isel(self, indexers=None, **indexers_kwargs):\n+ \"\"\"Drop index positions from this DataArray.\n+\n+ Parameters\n+ ----------\n+ indexers : mapping of hashable to Any\n+ Index locations to drop\n+ **indexers_kwargs : {dim: position, ...}, optional\n+ The keyword arguments form of ``dim`` and ``positions``\n+\n+ Returns\n+ -------\n+ dropped : DataArray\n+\n+ Raises\n+ ------\n+ IndexError\n+ \"\"\"\n+ dataset = self._to_temp_dataset()\n+ dataset = dataset.drop_isel(indexers=indexers, **indexers_kwargs)\n+ return self._from_temp_dataset(dataset)\n+\n def dropna(\n self, dim: Hashable, how: str = \"any\", thresh: int = None\n ) -> \"DataArray\":\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 7edc2fab067..65f38a7e26a 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -4053,13 +4053,78 @@ def drop_sel(self, labels=None, *, errors=\"raise\", **labels_kwargs):\n labels_for_dim = [labels_for_dim]\n labels_for_dim = np.asarray(labels_for_dim)\n try:\n- index = self.indexes[dim]\n+ index = self.get_index(dim)\n except KeyError:\n raise ValueError(\"dimension %r does not have coordinate labels\" % dim)\n new_index = index.drop(labels_for_dim, errors=errors)\n ds = ds.loc[{dim: new_index}]\n return ds\n \n+ def drop_isel(self, indexers=None, **indexers_kwargs):\n+ \"\"\"Drop index positions from this Dataset.\n+\n+ Parameters\n+ ----------\n+ indexers : mapping of hashable to Any\n+ Index locations to drop\n+ **indexers_kwargs : {dim: position, ...}, optional\n+ The keyword arguments form of ``dim`` and ``positions``\n+\n+ Returns\n+ -------\n+ dropped : Dataset\n+\n+ Raises\n+ ------\n+ IndexError\n+\n+ Examples\n+ --------\n+ >>> data = np.arange(6).reshape(2, 3)\n+ >>> labels = [\"a\", \"b\", \"c\"]\n+ >>> ds = xr.Dataset({\"A\": ([\"x\", \"y\"], data), \"y\": labels})\n+ >>> ds\n+ <xarray.Dataset>\n+ Dimensions: (x: 2, y: 3)\n+ Coordinates:\n+ * y (y) <U1 'a' 'b' 'c'\n+ Dimensions without coordinates: x\n+ Data variables:\n+ A (x, y) int64 0 1 2 3 4 5\n+ >>> ds.drop_isel(y=[0, 2])\n+ <xarray.Dataset>\n+ Dimensions: (x: 2, y: 1)\n+ Coordinates:\n+ * y (y) <U1 'b'\n+ Dimensions without coordinates: x\n+ Data variables:\n+ A (x, y) int64 1 4\n+ >>> ds.drop_isel(y=1)\n+ <xarray.Dataset>\n+ Dimensions: (x: 2, y: 2)\n+ Coordinates:\n+ * y (y) <U1 'a' 'c'\n+ Dimensions without coordinates: x\n+ Data variables:\n+ A (x, y) int64 0 2 3 5\n+ \"\"\"\n+\n+ indexers = either_dict_or_kwargs(indexers, indexers_kwargs, \"drop\")\n+\n+ ds = self\n+ dimension_index = {}\n+ for dim, pos_for_dim in indexers.items():\n+ # Don't cast to set, as it would harm performance when labels\n+ # is a large numpy array\n+ if utils.is_scalar(pos_for_dim):\n+ pos_for_dim = [pos_for_dim]\n+ pos_for_dim = np.asarray(pos_for_dim)\n+ index = self.get_index(dim)\n+ new_index = index.delete(pos_for_dim)\n+ dimension_index[dim] = new_index\n+ ds = ds.loc[dimension_index]\n+ return ds\n+\n def drop_dims(\n self, drop_dims: Union[Hashable, Iterable[Hashable]], *, errors: str = \"raise\"\n ) -> \"Dataset\":\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex 3ead427e22e..afb234029dc 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -2327,6 +2327,12 @@ def test_drop_index_labels(self):\n with pytest.warns(DeprecationWarning):\n arr.drop([0, 1, 3], dim=\"y\", errors=\"ignore\")\n \n+ def test_drop_index_positions(self):\n+ arr = DataArray(np.random.randn(2, 3), dims=[\"x\", \"y\"])\n+ actual = arr.drop_sel(y=[0, 1])\n+ expected = arr[:, 2:]\n+ assert_identical(actual, expected)\n+\n def test_dropna(self):\n x = np.random.randn(4, 4)\n x[::2, 0] = np.nan\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex bd1938455b1..f71b8ec7741 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -2371,8 +2371,12 @@ def test_drop_index_labels(self):\n data.drop(DataArray([\"a\", \"b\", \"c\"]), dim=\"x\", errors=\"ignore\")\n assert_identical(expected, actual)\n \n- with raises_regex(ValueError, \"does not have coordinate labels\"):\n- data.drop_sel(y=1)\n+ actual = data.drop_sel(y=[1])\n+ expected = data.isel(y=[0, 2])\n+ assert_identical(expected, actual)\n+\n+ with raises_regex(KeyError, \"not found in axis\"):\n+ data.drop_sel(x=0)\n \n def test_drop_labels_by_keyword(self):\n data = Dataset(\n@@ -2410,6 +2414,34 @@ def test_drop_labels_by_keyword(self):\n with pytest.raises(ValueError):\n data.drop(dim=\"x\", x=\"a\")\n \n+ def test_drop_labels_by_position(self):\n+ data = Dataset(\n+ {\"A\": ([\"x\", \"y\"], np.random.randn(2, 6)), \"x\": [\"a\", \"b\"], \"y\": range(6)}\n+ )\n+ # Basic functionality.\n+ assert len(data.coords[\"x\"]) == 2\n+\n+ actual = data.drop_isel(x=0)\n+ expected = data.drop_sel(x=\"a\")\n+ assert_identical(expected, actual)\n+\n+ actual = data.drop_isel(x=[0])\n+ expected = data.drop_sel(x=[\"a\"])\n+ assert_identical(expected, actual)\n+\n+ actual = data.drop_isel(x=[0, 1])\n+ expected = data.drop_sel(x=[\"a\", \"b\"])\n+ assert_identical(expected, actual)\n+ assert actual.coords[\"x\"].size == 0\n+\n+ actual = data.drop_isel(x=[0, 1], y=range(0, 6, 2))\n+ expected = data.drop_sel(x=[\"a\", \"b\"], y=range(0, 6, 2))\n+ assert_identical(expected, actual)\n+ assert actual.coords[\"x\"].size == 0\n+\n+ with pytest.raises(KeyError):\n+ data.drop_isel(z=1)\n+\n def test_drop_dims(self):\n data = xr.Dataset(\n {\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex ceab7dcc976..9cb02441d37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -126,6 +126,7 @@ Indexing\n Dataset.isel\n Dataset.sel\n Dataset.drop_sel\n+ Dataset.drop_isel\n Dataset.head\n Dataset.tail\n Dataset.thin\n@@ -307,6 +308,7 @@ Indexing\n DataArray.isel\n DataArray.sel\n DataArray.drop_sel\n+ DataArray.drop_isel\n DataArray.head\n DataArray.tail\n DataArray.thin\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 88994a5bfc0..717a40f37ec 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -80,6 +80,7 @@ Bug fixes\n - Expand user directory paths (e.g. ``~/``) in :py:func:`open_mfdataset` and\n :py:meth:`Dataset.to_zarr` (:issue:`4783`, :pull:`4795`).\n By `Julien Seguinot <https://github.com/juseg>`_.\n+- Add :py:meth:`Dataset.drop_isel` and :py:meth:`DataArray.drop_isel` (:issue:`4658`, :pull:`4819`). By `Daniel Mesejo <https://github.com/mesejo>`_.\n \n Documentation\n ~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex ceab7dcc976..9cb02441d37 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -126,6 +126,7 @@ Indexing\\n Dataset.isel\\n Dataset.sel\\n Dataset.drop_sel\\n+ Dataset.drop_isel\\n Dataset.head\\n Dataset.tail\\n Dataset.thin\\n@@ -307,6 +308,7 @@ Indexing\\n DataArray.isel\\n DataArray.sel\\n DataArray.drop_sel\\n+ DataArray.drop_isel\\n DataArray.head\\n DataArray.tail\\n DataArray.thin\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 88994a5bfc0..717a40f37ec 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -80,6 +80,7 @@ Bug fixes\\n - Expand user directory paths (e.g. ``~/``) in :py:func:`open_mfdataset` and\\n :py:meth:`Dataset.to_zarr` (:issue:`4783`, :pull:`4795`).\\n By `Julien Seguinot <https://github.com/juseg>`_.\\n+- Add :py:meth:`Dataset.drop_isel` and :py:meth:`DataArray.drop_isel` (:issue:`4658`, :pull:`4819`). By `Daniel Mesejo <https://github.com/mesejo>`_.\\n \\n Documentation\\n ~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0017"},"base_commit":{"kind":"string","value":"a2b1712afd957deaf189c9b1a04e469596d853c9"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataset.py::TestDataset::test_from_dataframe_non_unique_columns\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_drop_coordinates\",\n \"xarray/tests/test_dataarray.py::test_rolling_repr[1]\",\n \"xarray/tests/test_dataset.py::test_isin[test_elements0]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_repr_multiindex\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[mean-1-2-True-1]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce_nonnumeric[max-2-1-True]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[0-x-q1-True]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_max[x5-0-1-None]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[std-2-1-True-2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_to_stacked_array_dtype_dims\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-2-2-True-1]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_argmin_dim[x5-0-1-None]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_coordinate_diff\",\n \"xarray/tests/test_dataarray.py::test_ndrolling_reduce[sum-1-False-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_rename_does_not_change_CFTimeIndex_type\",\n \"xarray/tests/test_dataset.py::TestDataset::test_get_index\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-3-False-2]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_dataset.py::TestDataset::test_drop_index_labels","xarray/tests/test_dataset.py::TestDataset::test_drop_labels_by_position","xarray/tests/test_dataarray.py::TestDataArray::test_drop_index_positions"],"string":"[\n \"xarray/tests/test_dataset.py::TestDataset::test_drop_index_labels\",\n \"xarray/tests/test_dataset.py::TestDataset::test_drop_labels_by_position\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_drop_index_positions\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex ceab7dcc976..9cb02441d37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -126,6 +126,7 @@ Indexing\n Dataset.isel\n Dataset.sel\n Dataset.drop_sel\n+ Dataset.drop_isel\n Dataset.head\n Dataset.tail\n Dataset.thin\n@@ -307,6 +308,7 @@ Indexing\n DataArray.isel\n DataArray.sel\n DataArray.drop_sel\n+ DataArray.drop_isel\n DataArray.head\n DataArray.tail\n DataArray.thin\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 88994a5bfc0..717a40f37ec 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -80,6 +80,7 @@ Bug fixes\n - Expand user directory paths (e.g. ``~/``) in :py:func:`open_mfdataset` and\n :py:meth:`Dataset.to_zarr` (:issue:`<PRID>`, :pull:`<PRID>`).\n By `<NAME>`_.\n+- Add :py:meth:`Dataset.drop_isel` and :py:meth:`DataArray.drop_isel` (:issue:`<PRID>`, :pull:`<PRID>`). By `<NAME>`_.\n \n Documentation\n ~~~~~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex ceab7dcc976..9cb02441d37 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -126,6 +126,7 @@ Indexing\\n Dataset.isel\\n Dataset.sel\\n Dataset.drop_sel\\n+ Dataset.drop_isel\\n Dataset.head\\n Dataset.tail\\n Dataset.thin\\n@@ -307,6 +308,7 @@ Indexing\\n DataArray.isel\\n DataArray.sel\\n DataArray.drop_sel\\n+ DataArray.drop_isel\\n DataArray.head\\n DataArray.tail\\n DataArray.thin\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 88994a5bfc0..717a40f37ec 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -80,6 +80,7 @@ Bug fixes\\n - Expand user directory paths (e.g. ``~/``) in :py:func:`open_mfdataset` and\\n :py:meth:`Dataset.to_zarr` (:issue:`<PRID>`, :pull:`<PRID>`).\\n By `<NAME>`_.\\n+- Add :py:meth:`Dataset.drop_isel` and :py:meth:`DataArray.drop_isel` (:issue:`<PRID>`, :pull:`<PRID>`). By `<NAME>`_.\\n \\n Documentation\\n ~~~~~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex ceab7dcc976..9cb02441d37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -126,6 +126,7 @@ Indexing\n Dataset.isel\n Dataset.sel\n Dataset.drop_sel\n+ Dataset.drop_isel\n Dataset.head\n Dataset.tail\n Dataset.thin\n@@ -307,6 +308,7 @@ Indexing\n DataArray.isel\n DataArray.sel\n DataArray.drop_sel\n+ DataArray.drop_isel\n DataArray.head\n DataArray.tail\n DataArray.thin\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 88994a5bfc0..717a40f37ec 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -80,6 +80,7 @@ Bug fixes\n - Expand user directory paths (e.g. ``~/``) in :py:func:`open_mfdataset` and\n :py:meth:`Dataset.to_zarr` (:issue:`<PRID>`, :pull:`<PRID>`).\n By `<NAME>`_.\n+- Add :py:meth:`Dataset.drop_isel` and :py:meth:`DataArray.drop_isel` (:issue:`<PRID>`, :pull:`<PRID>`). By `<NAME>`_.\n \n Documentation\n ~~~~~~~~~~~~~\n\n"}}},{"rowIdx":579,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4939"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4939"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex e5492ec73a4..14d79039a3a 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -47,6 +47,7 @@\n core.rolling.DatasetCoarsen.median\n core.rolling.DatasetCoarsen.min\n core.rolling.DatasetCoarsen.prod\n+ core.rolling.DatasetCoarsen.reduce\n core.rolling.DatasetCoarsen.std\n core.rolling.DatasetCoarsen.sum\n core.rolling.DatasetCoarsen.var\n@@ -190,6 +191,7 @@\n core.rolling.DataArrayCoarsen.median\n core.rolling.DataArrayCoarsen.min\n core.rolling.DataArrayCoarsen.prod\n+ core.rolling.DataArrayCoarsen.reduce\n core.rolling.DataArrayCoarsen.std\n core.rolling.DataArrayCoarsen.sum\n core.rolling.DataArrayCoarsen.var\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 05066f883bf..ea9c5f89bb5 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -91,6 +91,10 @@ New Features\n (including globs for the latter) for ``engine=\"zarr\"``, and so allow reading from\n many remote and other file systems (:pull:`4461`)\n By `Martin Durant <https://github.com/martindurant>`_\n+- :py:class:`DataArrayCoarsen` and :py:class:`DatasetCoarsen` now implement a\n+ ``reduce`` method, enabling coarsening operations with custom reduction\n+ functions (:issue:`3741`, :pull:`4939`). By `Spencer Clark\n+ <https://github.com/spencerkclark>`_.\n \n Bug fixes\n ~~~~~~~~~\ndiff --git a/xarray/core/rolling.py b/xarray/core/rolling.py\nindex 6087fd4c806..dbdd9595069 100644\n--- a/xarray/core/rolling.py\n+++ b/xarray/core/rolling.py\n@@ -836,7 +836,9 @@ class DataArrayCoarsen(Coarsen):\n _reduce_extra_args_docstring = \"\"\"\"\"\"\n \n @classmethod\n- def _reduce_method(cls, func: Callable, include_skipna: bool, numeric_only: bool):\n+ def _reduce_method(\n+ cls, func: Callable, include_skipna: bool = False, numeric_only: bool = False\n+ ):\n \"\"\"\n Return a wrapped function for injecting reduction methods.\n see ops.inject_reduce_methods\n@@ -871,6 +873,38 @@ def wrapped_func(self, **kwargs):\n \n return wrapped_func\n \n+ def reduce(self, func: Callable, **kwargs):\n+ \"\"\"Reduce the items in this group by applying `func` along some\n+ dimension(s).\n+\n+ Parameters\n+ ----------\n+ func : callable\n+ Function which can be called in the form `func(x, axis, **kwargs)`\n+ to return the result of collapsing an np.ndarray over the coarsening\n+ dimensions. It must be possible to provide the `axis` argument\n+ with a tuple of integers.\n+ **kwargs : dict\n+ Additional keyword arguments passed on to `func`.\n+\n+ Returns\n+ -------\n+ reduced : DataArray\n+ Array with summarized data.\n+\n+ Examples\n+ --------\n+ >>> da = xr.DataArray(np.arange(8).reshape(2, 4), dims=(\"a\", \"b\"))\n+ >>> coarsen = da.coarsen(b=2)\n+ >>> coarsen.reduce(np.sum)\n+ <xarray.DataArray (a: 2, b: 2)>\n+ array([[ 1, 5],\n+ [ 9, 13]])\n+ Dimensions without coordinates: a, b\n+ \"\"\"\n+ wrapped_func = self._reduce_method(func)\n+ return wrapped_func(self, **kwargs)\n+\n \n class DatasetCoarsen(Coarsen):\n __slots__ = ()\n@@ -878,7 +912,9 @@ class DatasetCoarsen(Coarsen):\n _reduce_extra_args_docstring = \"\"\"\"\"\"\n \n @classmethod\n- def _reduce_method(cls, func: Callable, include_skipna: bool, numeric_only: bool):\n+ def _reduce_method(\n+ cls, func: Callable, include_skipna: bool = False, numeric_only: bool = False\n+ ):\n \"\"\"\n Return a wrapped function for injecting reduction methods.\n see ops.inject_reduce_methods\n@@ -917,6 +953,28 @@ def wrapped_func(self, **kwargs):\n \n return wrapped_func\n \n+ def reduce(self, func: Callable, **kwargs):\n+ \"\"\"Reduce the items in this group by applying `func` along some\n+ dimension(s).\n+\n+ Parameters\n+ ----------\n+ func : callable\n+ Function which can be called in the form `func(x, axis, **kwargs)`\n+ to return the result of collapsing an np.ndarray over the coarsening\n+ dimensions. It must be possible to provide the `axis` argument with\n+ a tuple of integers.\n+ **kwargs : dict\n+ Additional keyword arguments passed on to `func`.\n+\n+ Returns\n+ -------\n+ reduced : Dataset\n+ Arrays with summarized data.\n+ \"\"\"\n+ wrapped_func = self._reduce_method(func)\n+ return wrapped_func(self, **kwargs)\n+\n \n inject_reduce_methods(DataArrayCoarsen)\n inject_reduce_methods(DatasetCoarsen)\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex 68e31cd123a..d1d36dd93b3 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -6382,6 +6382,22 @@ def test_coarsen_keep_attrs():\n xr.testing.assert_identical(da, da2)\n \n \n+@pytest.mark.parametrize(\"da\", (1, 2), indirect=True)\n+@pytest.mark.parametrize(\"window\", (1, 2, 3, 4))\n+@pytest.mark.parametrize(\"name\", (\"sum\", \"mean\", \"std\", \"max\"))\n+def test_coarsen_reduce(da, window, name):\n+ if da.isnull().sum() > 1 and window == 1:\n+ pytest.skip(\"These parameters lead to all-NaN slices\")\n+\n+ # Use boundary=\"trim\" to accomodate all window sizes used in tests\n+ coarsen_obj = da.coarsen(time=window, boundary=\"trim\")\n+\n+ # add nan prefix to numpy methods to get similar # behavior as bottleneck\n+ actual = coarsen_obj.reduce(getattr(np, f\"nan{name}\"))\n+ expected = getattr(coarsen_obj, name)()\n+ assert_allclose(actual, expected)\n+\n+\n @pytest.mark.parametrize(\"da\", (1, 2), indirect=True)\n def test_rolling_iter(da):\n rolling_obj = da.rolling(time=7)\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex c4161093837..2118bc8b780 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -6055,6 +6055,27 @@ def test_coarsen_keep_attrs():\n xr.testing.assert_identical(ds, ds2)\n \n \n+@pytest.mark.slow\n+@pytest.mark.parametrize(\"ds\", (1, 2), indirect=True)\n+@pytest.mark.parametrize(\"window\", (1, 2, 3, 4))\n+@pytest.mark.parametrize(\"name\", (\"sum\", \"mean\", \"std\", \"var\", \"min\", \"max\", \"median\"))\n+def test_coarsen_reduce(ds, window, name):\n+ # Use boundary=\"trim\" to accomodate all window sizes used in tests\n+ coarsen_obj = ds.coarsen(time=window, boundary=\"trim\")\n+\n+ # add nan prefix to numpy methods to get similar behavior as bottleneck\n+ actual = coarsen_obj.reduce(getattr(np, f\"nan{name}\"))\n+ expected = getattr(coarsen_obj, name)()\n+ assert_allclose(actual, expected)\n+\n+ # make sure the order of data_var are not changed.\n+ assert list(ds.data_vars.keys()) == list(actual.data_vars.keys())\n+\n+ # Make sure the dimension order is restored\n+ for key, src_var in ds.data_vars.items():\n+ assert src_var.dims == actual[key].dims\n+\n+\n @pytest.mark.parametrize(\n \"funcname, argument\",\n [\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api-hidden.rst","old_path":"a/doc/api-hidden.rst","new_path":"b/doc/api-hidden.rst","metadata":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex e5492ec73a4..14d79039a3a 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -47,6 +47,7 @@\n core.rolling.DatasetCoarsen.median\n core.rolling.DatasetCoarsen.min\n core.rolling.DatasetCoarsen.prod\n+ core.rolling.DatasetCoarsen.reduce\n core.rolling.DatasetCoarsen.std\n core.rolling.DatasetCoarsen.sum\n core.rolling.DatasetCoarsen.var\n@@ -190,6 +191,7 @@\n core.rolling.DataArrayCoarsen.median\n core.rolling.DataArrayCoarsen.min\n core.rolling.DataArrayCoarsen.prod\n+ core.rolling.DataArrayCoarsen.reduce\n core.rolling.DataArrayCoarsen.std\n core.rolling.DataArrayCoarsen.sum\n core.rolling.DataArrayCoarsen.var\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 05066f883bf..ea9c5f89bb5 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -91,6 +91,10 @@ New Features\n (including globs for the latter) for ``engine=\"zarr\"``, and so allow reading from\n many remote and other file systems (:pull:`4461`)\n By `Martin Durant <https://github.com/martindurant>`_\n+- :py:class:`DataArrayCoarsen` and :py:class:`DatasetCoarsen` now implement a\n+ ``reduce`` method, enabling coarsening operations with custom reduction\n+ functions (:issue:`3741`, :pull:`4939`). By `Spencer Clark\n+ <https://github.com/spencerkclark>`_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api-hidden.rst\",\n \"old_path\": \"a/doc/api-hidden.rst\",\n \"new_path\": \"b/doc/api-hidden.rst\",\n \"metadata\": \"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\\nindex e5492ec73a4..14d79039a3a 100644\\n--- a/doc/api-hidden.rst\\n+++ b/doc/api-hidden.rst\\n@@ -47,6 +47,7 @@\\n core.rolling.DatasetCoarsen.median\\n core.rolling.DatasetCoarsen.min\\n core.rolling.DatasetCoarsen.prod\\n+ core.rolling.DatasetCoarsen.reduce\\n core.rolling.DatasetCoarsen.std\\n core.rolling.DatasetCoarsen.sum\\n core.rolling.DatasetCoarsen.var\\n@@ -190,6 +191,7 @@\\n core.rolling.DataArrayCoarsen.median\\n core.rolling.DataArrayCoarsen.min\\n core.rolling.DataArrayCoarsen.prod\\n+ core.rolling.DataArrayCoarsen.reduce\\n core.rolling.DataArrayCoarsen.std\\n core.rolling.DataArrayCoarsen.sum\\n core.rolling.DataArrayCoarsen.var\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 05066f883bf..ea9c5f89bb5 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -91,6 +91,10 @@ New Features\\n (including globs for the latter) for ``engine=\\\"zarr\\\"``, and so allow reading from\\n many remote and other file systems (:pull:`4461`)\\n By `Martin Durant <https://github.com/martindurant>`_\\n+- :py:class:`DataArrayCoarsen` and :py:class:`DatasetCoarsen` now implement a\\n+ ``reduce`` method, enabling coarsening operations with custom reduction\\n+ functions (:issue:`3741`, :pull:`4939`). By `Spencer Clark\\n+ <https://github.com/spencerkclark>`_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0017"},"base_commit":{"kind":"string","value":"eb7e112d45a9edebd8e5fb4f873e3e6adb18824a"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataset.py::test_coarsen_reduce[max-2-1]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api-hidden.rst","old_path":"a/doc/api-hidden.rst","new_path":"b/doc/api-hidden.rst","metadata":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex e5492ec73a4..14d79039a3a 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -47,6 +47,7 @@\n core.rolling.DatasetCoarsen.median\n core.rolling.DatasetCoarsen.min\n core.rolling.DatasetCoarsen.prod\n+ core.rolling.DatasetCoarsen.reduce\n core.rolling.DatasetCoarsen.std\n core.rolling.DatasetCoarsen.sum\n core.rolling.DatasetCoarsen.var\n@@ -190,6 +191,7 @@\n core.rolling.DataArrayCoarsen.median\n core.rolling.DataArrayCoarsen.min\n core.rolling.DataArrayCoarsen.prod\n+ core.rolling.DataArrayCoarsen.reduce\n core.rolling.DataArrayCoarsen.std\n core.rolling.DataArrayCoarsen.sum\n core.rolling.DataArrayCoarsen.var\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 05066f883bf..ea9c5f89bb5 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -91,6 +91,10 @@ New Features\n (including globs for the latter) for ``engine=\"zarr\"``, and so allow reading from\n many remote and other file systems (:pull:`<PRID>`)\n By `<NAME>`_\n+- :py:class:`DataArrayCoarsen` and :py:class:`DatasetCoarsen` now implement a\n+ ``reduce`` method, enabling coarsening operations with custom reduction\n+ functions (:issue:`<PRID>`, :pull:`<PRID>`). By `<NAME>`_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/api-hidden.rst\",\n \"old_path\": \"a/doc/api-hidden.rst\",\n \"new_path\": \"b/doc/api-hidden.rst\",\n \"metadata\": \"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\\nindex e5492ec73a4..14d79039a3a 100644\\n--- a/doc/api-hidden.rst\\n+++ b/doc/api-hidden.rst\\n@@ -47,6 +47,7 @@\\n core.rolling.DatasetCoarsen.median\\n core.rolling.DatasetCoarsen.min\\n core.rolling.DatasetCoarsen.prod\\n+ core.rolling.DatasetCoarsen.reduce\\n core.rolling.DatasetCoarsen.std\\n core.rolling.DatasetCoarsen.sum\\n core.rolling.DatasetCoarsen.var\\n@@ -190,6 +191,7 @@\\n core.rolling.DataArrayCoarsen.median\\n core.rolling.DataArrayCoarsen.min\\n core.rolling.DataArrayCoarsen.prod\\n+ core.rolling.DataArrayCoarsen.reduce\\n core.rolling.DataArrayCoarsen.std\\n core.rolling.DataArrayCoarsen.sum\\n core.rolling.DataArrayCoarsen.var\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 05066f883bf..ea9c5f89bb5 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -91,6 +91,10 @@ New Features\\n (including globs for the latter) for ``engine=\\\"zarr\\\"``, and so allow reading from\\n many remote and other file systems (:pull:`<PRID>`)\\n By `<NAME>`_\\n+- :py:class:`DataArrayCoarsen` and :py:class:`DatasetCoarsen` now implement a\\n+ ``reduce`` method, enabling coarsening operations with custom reduction\\n+ functions (:issue:`<PRID>`, :pull:`<PRID>`). By `<NAME>`_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex e5492ec73a4..14d79039a3a 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -47,6 +47,7 @@\n core.rolling.DatasetCoarsen.median\n core.rolling.DatasetCoarsen.min\n core.rolling.DatasetCoarsen.prod\n+ core.rolling.DatasetCoarsen.reduce\n core.rolling.DatasetCoarsen.std\n core.rolling.DatasetCoarsen.sum\n core.rolling.DatasetCoarsen.var\n@@ -190,6 +191,7 @@\n core.rolling.DataArrayCoarsen.median\n core.rolling.DataArrayCoarsen.min\n core.rolling.DataArrayCoarsen.prod\n+ core.rolling.DataArrayCoarsen.reduce\n core.rolling.DataArrayCoarsen.std\n core.rolling.DataArrayCoarsen.sum\n core.rolling.DataArrayCoarsen.var\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 05066f883bf..ea9c5f89bb5 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -91,6 +91,10 @@ New Features\n (including globs for the latter) for ``engine=\"zarr\"``, and so allow reading from\n many remote and other file systems (:pull:`<PRID>`)\n By `<NAME>`_\n+- :py:class:`DataArrayCoarsen` and :py:class:`DatasetCoarsen` now implement a\n+ ``reduce`` method, enabling coarsening operations with custom reduction\n+ functions (:issue:`<PRID>`, :pull:`<PRID>`). By `<NAME>`_.\n \n Bug fixes\n ~~~~~~~~~\n\n"}}},{"rowIdx":580,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4356"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4356"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2652af5d9fd..901e2f7f281 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,8 +28,11 @@ New Features\n - Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`1815`, :pull:`4060`)\n By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.\n - :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n- now accept more than 1 dimension.(:pull:`4219`)\n+ now accept more than 1 dimension. (:pull:`4219`)\n By `Keisuke Fujii <https://github.com/fujiisoup>`_.\n+- ``min_count`` can be supplied to reductions such as ``.sum`` when specifying\n+ multiple dimension to reduce over. (:pull:`4356`) \n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\n - Build ``CFTimeIndex.__repr__`` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n ``CFTimeIndex.__repr__`` (:issue:`2416`, :pull:`4092`)\ndiff --git a/xarray/core/nanops.py b/xarray/core/nanops.py\nindex 41c8d258d7a..bc7dc510817 100644\n--- a/xarray/core/nanops.py\n+++ b/xarray/core/nanops.py\n@@ -26,13 +26,9 @@ def _maybe_null_out(result, axis, mask, min_count=1):\n \"\"\"\n xarray version of pandas.core.nanops._maybe_null_out\n \"\"\"\n- if hasattr(axis, \"__len__\"): # if tuple or list\n- raise ValueError(\n- \"min_count is not available for reduction with more than one dimensions.\"\n- )\n \n if axis is not None and getattr(result, \"ndim\", False):\n- null_mask = (mask.shape[axis] - mask.sum(axis) - min_count) < 0\n+ null_mask = (np.take(mask.shape, axis).prod() - mask.sum(axis) - min_count) < 0\n if null_mask.any():\n dtype, fill_value = dtypes.maybe_promote(result.dtype)\n result = result.astype(dtype)\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_duck_array_ops.py b/xarray/tests/test_duck_array_ops.py\nindex b542dad998b..6db0b6eef87 100644\n--- a/xarray/tests/test_duck_array_ops.py\n+++ b/xarray/tests/test_duck_array_ops.py\n@@ -595,6 +595,24 @@ def test_min_count(dim_num, dtype, dask, func, aggdim):\n assert_dask_array(actual, dask)\n \n \n+@pytest.mark.parametrize(\"dtype\", [float, int, np.float32, np.bool_])\n+@pytest.mark.parametrize(\"dask\", [False, True])\n+@pytest.mark.parametrize(\"func\", [\"sum\", \"prod\"])\n+def test_min_count_nd(dtype, dask, func):\n+ if dask and not has_dask:\n+ pytest.skip(\"requires dask\")\n+\n+ min_count = 3\n+ dim_num = 3\n+ da = construct_dataarray(dim_num, dtype, contains_nan=True, dask=dask)\n+ actual = getattr(da, func)(dim=[\"x\", \"y\", \"z\"], skipna=True, min_count=min_count)\n+ # Supplying all dims is equivalent to supplying `...` or `None`\n+ expected = getattr(da, func)(dim=..., skipna=True, min_count=min_count)\n+\n+ assert_allclose(actual, expected)\n+ assert_dask_array(actual, dask)\n+\n+\n @pytest.mark.parametrize(\"func\", [\"sum\", \"prod\"])\n def test_min_count_dataset(func):\n da = construct_dataarray(2, dtype=float, contains_nan=True, dask=False)\n@@ -606,14 +624,15 @@ def test_min_count_dataset(func):\n \n @pytest.mark.parametrize(\"dtype\", [float, int, np.float32, np.bool_])\n @pytest.mark.parametrize(\"dask\", [False, True])\n+@pytest.mark.parametrize(\"skipna\", [False, True])\n @pytest.mark.parametrize(\"func\", [\"sum\", \"prod\"])\n-def test_multiple_dims(dtype, dask, func):\n+def test_multiple_dims(dtype, dask, skipna, func):\n if dask and not has_dask:\n pytest.skip(\"requires dask\")\n da = construct_dataarray(3, dtype, contains_nan=True, dask=dask)\n \n- actual = getattr(da, func)((\"x\", \"y\"))\n- expected = getattr(getattr(da, func)(\"x\"), func)(\"y\")\n+ actual = getattr(da, func)((\"x\", \"y\"), skipna=skipna)\n+ expected = getattr(getattr(da, func)(\"x\", skipna=skipna), func)(\"y\", skipna=skipna)\n assert_allclose(actual, expected)\n \n \n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2652af5d9fd..901e2f7f281 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,8 +28,11 @@ New Features\n - Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`1815`, :pull:`4060`)\n By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.\n - :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n- now accept more than 1 dimension.(:pull:`4219`)\n+ now accept more than 1 dimension. (:pull:`4219`)\n By `Keisuke Fujii <https://github.com/fujiisoup>`_.\n+- ``min_count`` can be supplied to reductions such as ``.sum`` when specifying\n+ multiple dimension to reduce over. (:pull:`4356`) \n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\n - Build ``CFTimeIndex.__repr__`` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n ``CFTimeIndex.__repr__`` (:issue:`2416`, :pull:`4092`)\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 2652af5d9fd..901e2f7f281 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -28,8 +28,11 @@ New Features\\n - Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`1815`, :pull:`4060`)\\n By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.\\n - :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\\n- now accept more than 1 dimension.(:pull:`4219`)\\n+ now accept more than 1 dimension. (:pull:`4219`)\\n By `Keisuke Fujii <https://github.com/fujiisoup>`_.\\n+- ``min_count`` can be supplied to reductions such as ``.sum`` when specifying\\n+ multiple dimension to reduce over. (:pull:`4356`) \\n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\\n - Build ``CFTimeIndex.__repr__`` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\\n ``CFTimeIndex.__repr__`` (:issue:`2416`, :pull:`4092`)\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"e05fddea852d08fc0845f954b79deb9e9f9ff883"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_duck_array_ops.py::test_argmin_max[x-True-min-False-True-str-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_argmin_max[x-False-min-False-False-str-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count[None-prod-False-bool_-2]\",\n \"xarray/tests/test_duck_array_ops.py::TestOps::test_last\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-False-mean-False-float-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-var-False-bool_-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-sum-False-float32-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-int-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_argmin_max[x-False-max-False-False-float32-2]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-int]","xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-float]","xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-float32]","xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-bool_]","xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-bool_]","xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-float]","xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-float32]","xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-int]"],"string":"[\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-int]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-float]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-float32]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-bool_]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-bool_]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-float]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-float32]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-int]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2652af5d9fd..901e2f7f281 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,8 +28,11 @@ New Features\n - Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n - :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n- now accept more than 1 dimension.(:pull:`<PRID>`)\n+ now accept more than 1 dimension. (:pull:`<PRID>`)\n By `<NAME>`_.\n+- ``min_count`` can be supplied to reductions such as ``.sum`` when specifying\n+ multiple dimension to reduce over. (:pull:`<PRID>`) \n+ By `<NAME>`_.\n - Build ``CFTimeIndex.__repr__`` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n ``CFTimeIndex.__repr__`` (:issue:`<PRID>`, :pull:`<PRID>`)\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 2652af5d9fd..901e2f7f281 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -28,8 +28,11 @@ New Features\\n - Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`<PRID>`, :pull:`<PRID>`)\\n By `<NAME>`_.\\n - :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\\n- now accept more than 1 dimension.(:pull:`<PRID>`)\\n+ now accept more than 1 dimension. (:pull:`<PRID>`)\\n By `<NAME>`_.\\n+- ``min_count`` can be supplied to reductions such as ``.sum`` when specifying\\n+ multiple dimension to reduce over. (:pull:`<PRID>`) \\n+ By `<NAME>`_.\\n - Build ``CFTimeIndex.__repr__`` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\\n ``CFTimeIndex.__repr__`` (:issue:`<PRID>`, :pull:`<PRID>`)\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2652af5d9fd..901e2f7f281 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,8 +28,11 @@ New Features\n - Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n - :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n- now accept more than 1 dimension.(:pull:`<PRID>`)\n+ now accept more than 1 dimension. (:pull:`<PRID>`)\n By `<NAME>`_.\n+- ``min_count`` can be supplied to reductions such as ``.sum`` when specifying\n+ multiple dimension to reduce over. (:pull:`<PRID>`) \n+ By `<NAME>`_.\n - Build ``CFTimeIndex.__repr__`` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n ``CFTimeIndex.__repr__`` (:issue:`<PRID>`, :pull:`<PRID>`)\n\n"}}},{"rowIdx":581,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4333"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4333"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2023b79dbb5..ee26842ba95 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`4248`).\n By `Justus Magin <https://github.com/keewis>`_.\n+- :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n+ now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n+ dimensions order (:issue:`4331`, :pull:`4333`).\n+ By `Thomas Zilio <https://github.com/thomas-z>`_.\n \n \n Bug fixes\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 45a8cf96503..19b1bb5482a 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -2365,13 +2365,36 @@ def to_pandas(self) -> Union[\"DataArray\", pd.Series, pd.DataFrame]:\n indexes = [self.get_index(dim) for dim in self.dims]\n return constructor(self.values, *indexes)\n \n- def to_dataframe(self, name: Hashable = None) -> pd.DataFrame:\n+ def to_dataframe(\n+ self, name: Hashable = None, dim_order: List[Hashable] = None\n+ ) -> pd.DataFrame:\n \"\"\"Convert this array and its coordinates into a tidy pandas.DataFrame.\n \n The DataFrame is indexed by the Cartesian product of index coordinates\n (in the form of a :py:class:`pandas.MultiIndex`).\n \n Other coordinates are included as columns in the DataFrame.\n+\n+ Parameters\n+ ----------\n+ name\n+ Name to give to this array (required if unnamed).\n+ dim_order\n+ Hierarchical dimension order for the resulting dataframe.\n+ Array content is transposed to this order and then written out as flat\n+ vectors in contiguous order, so the last dimension in this list\n+ will be contiguous in the resulting DataFrame. This has a major\n+ influence on which operations are efficient on the resulting\n+ dataframe.\n+\n+ If provided, must include all dimensions of this DataArray. By default,\n+ dimensions are sorted according to the DataArray dimensions order.\n+\n+ Returns\n+ -------\n+ result\n+ DataArray as a pandas DataFrame.\n+\n \"\"\"\n if name is None:\n name = self.name\n@@ -2381,7 +2404,6 @@ def to_dataframe(self, name: Hashable = None) -> pd.DataFrame:\n \"DataFrame: use the ``name`` parameter\"\n )\n \n- dims = dict(zip(self.dims, self.shape))\n # By using a unique name, we can convert a DataArray into a DataFrame\n # even if it shares a name with one of its coordinates.\n # I would normally use unique_name = object() but that results in a\n@@ -2389,7 +2411,13 @@ def to_dataframe(self, name: Hashable = None) -> pd.DataFrame:\n # been able to debug (possibly a pandas bug?).\n unique_name = \"__unique_name_identifier_z98xfz98xugfg73ho__\"\n ds = self._to_dataset_whole(name=unique_name)\n- df = ds._to_dataframe(dims)\n+\n+ if dim_order is None:\n+ ordered_dims = dict(zip(self.dims, self.shape))\n+ else:\n+ ordered_dims = ds._normalize_dim_order(dim_order=dim_order)\n+\n+ df = ds._to_dataframe(ordered_dims)\n df.columns = [name if c == unique_name else c for c in df.columns]\n return df\n \ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 68f76c7af2c..55b4f6040b1 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -4524,23 +4524,75 @@ def to_array(self, dim=\"variable\", name=None):\n data, coords, dims, attrs=self.attrs, name=name, indexes=indexes\n )\n \n- def _to_dataframe(self, ordered_dims):\n+ def _normalize_dim_order(\n+ self, dim_order: List[Hashable] = None\n+ ) -> Dict[Hashable, int]:\n+ \"\"\"\n+ Check the validity of the provided dimensions if any and return the mapping\n+ between dimension name and their size.\n+\n+ Parameters\n+ ----------\n+ dim_order\n+ Dimension order to validate (default to the alphabetical order if None).\n+\n+ Returns\n+ -------\n+ result\n+ Validated dimensions mapping.\n+\n+ \"\"\"\n+ if dim_order is None:\n+ dim_order = list(self.dims)\n+ elif set(dim_order) != set(self.dims):\n+ raise ValueError(\n+ \"dim_order {} does not match the set of dimensions of this \"\n+ \"Dataset: {}\".format(dim_order, list(self.dims))\n+ )\n+\n+ ordered_dims = {k: self.dims[k] for k in dim_order}\n+\n+ return ordered_dims\n+\n+ def _to_dataframe(self, ordered_dims: Mapping[Hashable, int]):\n columns = [k for k in self.variables if k not in self.dims]\n data = [\n self._variables[k].set_dims(ordered_dims).values.reshape(-1)\n for k in columns\n ]\n- index = self.coords.to_index(ordered_dims)\n+ index = self.coords.to_index([*ordered_dims])\n return pd.DataFrame(dict(zip(columns, data)), index=index)\n \n- def to_dataframe(self):\n+ def to_dataframe(self, dim_order: List[Hashable] = None) -> pd.DataFrame:\n \"\"\"Convert this dataset into a pandas.DataFrame.\n \n Non-index variables in this dataset form the columns of the\n- DataFrame. The DataFrame is be indexed by the Cartesian product of\n+ DataFrame. The DataFrame is indexed by the Cartesian product of\n this dataset's indices.\n+\n+ Parameters\n+ ----------\n+ dim_order\n+ Hierarchical dimension order for the resulting dataframe. All\n+ arrays are transposed to this order and then written out as flat\n+ vectors in contiguous order, so the last dimension in this list\n+ will be contiguous in the resulting DataFrame. This has a major\n+ influence on which operations are efficient on the resulting\n+ dataframe.\n+\n+ If provided, must include all dimensions of this dataset. By\n+ default, dimensions are sorted alphabetically.\n+\n+ Returns\n+ -------\n+ result\n+ Dataset as a pandas DataFrame.\n+\n \"\"\"\n- return self._to_dataframe(self.dims)\n+\n+ ordered_dims = self._normalize_dim_order(dim_order=dim_order)\n+\n+ return self._to_dataframe(ordered_dims=ordered_dims)\n \n def _set_sparse_data_from_dataframe(\n self, idx: pd.Index, arrays: List[Tuple[Hashable, np.ndarray]], dims: tuple\n@@ -4694,11 +4746,11 @@ def to_dask_dataframe(self, dim_order=None, set_index=False):\n influence on which operations are efficient on the resulting dask\n dataframe.\n \n- If provided, must include all dimensions on this dataset. By\n+ If provided, must include all dimensions of this dataset. By\n default, dimensions are sorted alphabetically.\n set_index : bool, optional\n If set_index=True, the dask DataFrame is indexed by this dataset's\n- coordinate. Since dask DataFrames to not support multi-indexes,\n+ coordinate. Since dask DataFrames do not support multi-indexes,\n set_index only works if the dataset only contains one dimension.\n \n Returns\n@@ -4709,15 +4761,7 @@ def to_dask_dataframe(self, dim_order=None, set_index=False):\n import dask.array as da\n import dask.dataframe as dd\n \n- if dim_order is None:\n- dim_order = list(self.dims)\n- elif set(dim_order) != set(self.dims):\n- raise ValueError(\n- \"dim_order {} does not match the set of dimensions on this \"\n- \"Dataset: {}\".format(dim_order, list(self.dims))\n- )\n-\n- ordered_dims = {k: self.dims[k] for k in dim_order}\n+ ordered_dims = self._normalize_dim_order(dim_order=dim_order)\n \n columns = list(ordered_dims)\n columns.extend(k for k in self.coords if k not in self.dims)\n@@ -4744,6 +4788,8 @@ def to_dask_dataframe(self, dim_order=None, set_index=False):\n df = dd.concat(series_list, axis=1)\n \n if set_index:\n+ dim_order = [*ordered_dims]\n+\n if len(dim_order) == 1:\n (dim,) = dim_order\n df = df.set_index(dim)\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex f10404d71d4..84455d320cb 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -3463,15 +3463,18 @@ def test_to_pandas(self):\n \n def test_to_dataframe(self):\n # regression test for #260\n- arr = DataArray(\n- np.random.randn(3, 4), [(\"B\", [1, 2, 3]), (\"A\", list(\"cdef\"))], name=\"foo\"\n- )\n+ arr_np = np.random.randn(3, 4)\n+\n+ arr = DataArray(arr_np, [(\"B\", [1, 2, 3]), (\"A\", list(\"cdef\"))], name=\"foo\")\n expected = arr.to_series()\n actual = arr.to_dataframe()[\"foo\"]\n assert_array_equal(expected.values, actual.values)\n assert_array_equal(expected.name, actual.name)\n assert_array_equal(expected.index.values, actual.index.values)\n \n+ actual = arr.to_dataframe(dim_order=[\"A\", \"B\"])[\"foo\"]\n+ assert_array_equal(arr_np.transpose().reshape(-1), actual.values)\n+\n # regression test for coords with different dimensions\n arr.coords[\"C\"] = (\"B\", [-1, -2, -3])\n expected = arr.to_series().to_frame()\n@@ -3482,6 +3485,9 @@ def test_to_dataframe(self):\n assert_array_equal(expected.columns.values, actual.columns.values)\n assert_array_equal(expected.index.values, actual.index.values)\n \n+ with pytest.raises(ValueError, match=\"does not match the set of dimensions\"):\n+ arr.to_dataframe(dim_order=[\"B\", \"A\", \"C\"])\n+\n arr.name = None # unnamed\n with raises_regex(ValueError, \"unnamed\"):\n arr.to_dataframe()\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex da7621dceb8..72bc560bcc6 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -3939,6 +3939,33 @@ def test_to_and_from_dataframe(self):\n # check roundtrip\n assert_identical(ds.assign_coords(x=[0, 1]), Dataset.from_dataframe(actual))\n \n+ # Check multiindex reordering\n+ new_order = [\"x\", \"y\"]\n+ actual = ds.to_dataframe(dim_order=new_order)\n+ assert expected.equals(actual)\n+\n+ new_order = [\"y\", \"x\"]\n+ exp_index = pd.MultiIndex.from_arrays(\n+ [[\"a\", \"a\", \"b\", \"b\", \"c\", \"c\"], [0, 1, 0, 1, 0, 1]], names=[\"y\", \"x\"]\n+ )\n+ expected = pd.DataFrame(\n+ w.transpose().reshape(-1), columns=[\"w\"], index=exp_index\n+ )\n+ actual = ds.to_dataframe(dim_order=new_order)\n+ assert expected.equals(actual)\n+\n+ invalid_order = [\"x\"]\n+ with pytest.raises(\n+ ValueError, match=\"does not match the set of dimensions of this\"\n+ ):\n+ ds.to_dataframe(dim_order=invalid_order)\n+\n+ invalid_order = [\"x\", \"z\"]\n+ with pytest.raises(\n+ ValueError, match=\"does not match the set of dimensions of this\"\n+ ):\n+ ds.to_dataframe(dim_order=invalid_order)\n+\n # check pathological cases\n df = pd.DataFrame([1])\n actual = Dataset.from_dataframe(df)\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2023b79dbb5..ee26842ba95 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`4248`).\n By `Justus Magin <https://github.com/keewis>`_.\n+- :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n+ now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n+ dimensions order (:issue:`4331`, :pull:`4333`).\n+ By `Thomas Zilio <https://github.com/thomas-z>`_.\n \n \n Bug fixes\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 2023b79dbb5..ee26842ba95 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -45,6 +45,10 @@ New Features\\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\\n document the new method in :doc:`internals`. (:pull:`4248`).\\n By `Justus Magin <https://github.com/keewis>`_.\\n+- :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\\n+ now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\\n+ dimensions order (:issue:`4331`, :pull:`4333`).\\n+ By `Thomas Zilio <https://github.com/thomas-z>`_.\\n \\n \\n Bug fixes\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"8fab5a2449d8368251f96fc2b9d1eaa3040894e6"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataset.py::test_rolling_construct[1-True]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_dataset.py::TestDataset::test_to_and_from_dataframe"],"string":"[\n \"xarray/tests/test_dataset.py::TestDataset::test_to_and_from_dataframe\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2023b79dbb5..ee26842ba95 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`<PRID>`).\n By `<NAME>`_.\n+- :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n+ now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n+ dimensions order (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n \n \n Bug fixes\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 2023b79dbb5..ee26842ba95 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -45,6 +45,10 @@ New Features\\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\\n document the new method in :doc:`internals`. (:pull:`<PRID>`).\\n By `<NAME>`_.\\n+- :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\\n+ now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\\n+ dimensions order (:issue:`<PRID>`, :pull:`<PRID>`).\\n+ By `<NAME>`_.\\n \\n \\n Bug fixes\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2023b79dbb5..ee26842ba95 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`<PRID>`).\n By `<NAME>`_.\n+- :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n+ now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n+ dimensions order (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n \n \n Bug fixes\n\n"}}},{"rowIdx":582,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4343"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4343"},"feature_patch":{"kind":"string","value":"diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\nindex f03dfd14c73..9a92a1842d3 100644\n--- a/doc/weather-climate.rst\n+++ b/doc/weather-climate.rst\n@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .\n \n For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n \n-- `Partial datetime string indexing`_ using strictly `ISO 8601-format`_ partial\n- datetime strings:\n+- `Partial datetime string indexing`_:\n \n .. ipython:: python\n \n da.sel(time=\"0001\")\n da.sel(time=slice(\"0001-05\", \"0002-02\"))\n \n+.. note::\n+\n+\n+ For specifying full or partial datetime strings in cftime\n+ indexing, xarray supports two versions of the `ISO 8601 standard`_, the\n+ basic pattern (YYYYMMDDhhmmss) or the extended pattern\n+ (YYYY-MM-DDThh:mm:ss), as well as the default cftime string format\n+ (YYYY-MM-DD hh:mm:ss). This is somewhat more restrictive than pandas;\n+ in other words, some datetime strings that would be valid for a\n+ :py:class:`pandas.DatetimeIndex` are not valid for an\n+ :py:class:`~xarray.CFTimeIndex`.\n+\n - Access of basic datetime components via the ``dt`` accessor (in this case\n just \"year\", \"month\", \"day\", \"hour\", \"minute\", \"second\", \"microsecond\",\n \"season\", \"dayofyear\", \"dayofweek\", and \"days_in_month\"):\n@@ -196,5 +207,5 @@ For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n encoded in your data and the dates stored in memory.\n \n .. _Timestamp-valid range: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#timestamp-limitations\n-.. _ISO 8601-format: https://en.wikipedia.org/wiki/ISO_8601\n+.. _ISO 8601 standard: https://en.wikipedia.org/wiki/ISO_8601\n .. _partial datetime string indexing: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#partial-string-indexing\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b48e5a4041f..3a9c3b71ea1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`4248`).\n By `Justus Magin <https://github.com/keewis>`_.\n+- Add support for parsing datetime strings formatted following the default\n+ string representation of cftime objects, i.e. YYYY-MM-DD hh:mm:ss, in\n+ partial datetime string indexing, as well as :py:meth:`~xarray.cftime_range`\n+ (:issue:`4337`). By `Spencer Clark <https://github.com/spencerkclark>`_.\n - :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n dimensions order (:issue:`4331`, :pull:`4333`).\ndiff --git a/xarray/coding/cftimeindex.py b/xarray/coding/cftimeindex.py\nindex cd57af5c7eb..0e1415079fb 100644\n--- a/xarray/coding/cftimeindex.py\n+++ b/xarray/coding/cftimeindex.py\n@@ -91,22 +91,25 @@ def build_pattern(date_sep=r\"\\-\", datetime_sep=r\"T\", time_sep=r\"\\:\"):\n \n _BASIC_PATTERN = build_pattern(date_sep=\"\", time_sep=\"\")\n _EXTENDED_PATTERN = build_pattern()\n-_PATTERNS = [_BASIC_PATTERN, _EXTENDED_PATTERN]\n+_CFTIME_PATTERN = build_pattern(datetime_sep=\" \")\n+_PATTERNS = [_BASIC_PATTERN, _EXTENDED_PATTERN, _CFTIME_PATTERN]\n \n \n-def parse_iso8601(datetime_string):\n+def parse_iso8601_like(datetime_string):\n for pattern in _PATTERNS:\n match = re.match(pattern, datetime_string)\n if match:\n return match.groupdict()\n- raise ValueError(\"no ISO-8601 match for string: %s\" % datetime_string)\n+ raise ValueError(\n+ f\"no ISO-8601 or cftime-string-like match for string: {datetime_string}\"\n+ )\n \n \n def _parse_iso8601_with_reso(date_type, timestr):\n import cftime\n \n default = date_type(1, 1, 1)\n- result = parse_iso8601(timestr)\n+ result = parse_iso8601_like(timestr)\n replace = {}\n \n for attr in [\"year\", \"month\", \"day\", \"hour\", \"minute\", \"second\"]:\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_cftime_offsets.py b/xarray/tests/test_cftime_offsets.py\nindex 343e059f53c..3efcf8039c6 100644\n--- a/xarray/tests/test_cftime_offsets.py\n+++ b/xarray/tests/test_cftime_offsets.py\n@@ -970,6 +970,15 @@ def test_rollback(calendar, offset, initial_date_args, partial_expected_date_arg\n False,\n [(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)],\n ),\n+ (\n+ \"0001-01-01 01:00:00\",\n+ \"0001-01-04\",\n+ None,\n+ \"D\",\n+ None,\n+ False,\n+ [(1, 1, 1, 1), (1, 1, 2, 1), (1, 1, 3, 1)],\n+ ),\n (\n \"0001-01-01T01:00:00\",\n \"0001-01-04\",\ndiff --git a/xarray/tests/test_cftimeindex.py b/xarray/tests/test_cftimeindex.py\nindex 642609ba059..d3e5e051efa 100644\n--- a/xarray/tests/test_cftimeindex.py\n+++ b/xarray/tests/test_cftimeindex.py\n@@ -12,7 +12,7 @@\n _parse_iso8601_with_reso,\n _parsed_string_to_bounds,\n assert_all_valid_date_type,\n- parse_iso8601,\n+ parse_iso8601_like,\n )\n from xarray.tests import assert_array_equal, assert_identical\n \n@@ -30,7 +30,7 @@ def date_dict(year=None, month=None, day=None, hour=None, minute=None, second=No\n )\n \n \n-ISO8601_STRING_TESTS = {\n+ISO8601_LIKE_STRING_TESTS = {\n \"year\": (\"1999\", date_dict(year=\"1999\")),\n \"month\": (\"199901\", date_dict(year=\"1999\", month=\"01\")),\n \"month-dash\": (\"1999-01\", date_dict(year=\"1999\", month=\"01\")),\n@@ -41,6 +41,10 @@ def date_dict(year=None, month=None, day=None, hour=None, minute=None, second=No\n \"1999-01-01T12\",\n date_dict(year=\"1999\", month=\"01\", day=\"01\", hour=\"12\"),\n ),\n+ \"hour-space-separator\": (\n+ \"1999-01-01 12\",\n+ date_dict(year=\"1999\", month=\"01\", day=\"01\", hour=\"12\"),\n+ ),\n \"minute\": (\n \"19990101T1234\",\n date_dict(year=\"1999\", month=\"01\", day=\"01\", hour=\"12\", minute=\"34\"),\n@@ -49,6 +53,10 @@ def date_dict(year=None, month=None, day=None, hour=None, minute=None, second=No\n \"1999-01-01T12:34\",\n date_dict(year=\"1999\", month=\"01\", day=\"01\", hour=\"12\", minute=\"34\"),\n ),\n+ \"minute-space-separator\": (\n+ \"1999-01-01 12:34\",\n+ date_dict(year=\"1999\", month=\"01\", day=\"01\", hour=\"12\", minute=\"34\"),\n+ ),\n \"second\": (\n \"19990101T123456\",\n date_dict(\n@@ -61,21 +69,27 @@ def date_dict(year=None, month=None, day=None, hour=None, minute=None, second=No\n year=\"1999\", month=\"01\", day=\"01\", hour=\"12\", minute=\"34\", second=\"56\"\n ),\n ),\n+ \"second-space-separator\": (\n+ \"1999-01-01 12:34:56\",\n+ date_dict(\n+ year=\"1999\", month=\"01\", day=\"01\", hour=\"12\", minute=\"34\", second=\"56\"\n+ ),\n+ ),\n }\n \n \n @pytest.mark.parametrize(\n (\"string\", \"expected\"),\n- list(ISO8601_STRING_TESTS.values()),\n- ids=list(ISO8601_STRING_TESTS.keys()),\n+ list(ISO8601_LIKE_STRING_TESTS.values()),\n+ ids=list(ISO8601_LIKE_STRING_TESTS.keys()),\n )\n-def test_parse_iso8601(string, expected):\n- result = parse_iso8601(string)\n+def test_parse_iso8601_like(string, expected):\n+ result = parse_iso8601_like(string)\n assert result == expected\n \n with pytest.raises(ValueError):\n- parse_iso8601(string + \"3\")\n- parse_iso8601(string + \".3\")\n+ parse_iso8601_like(string + \"3\")\n+ parse_iso8601_like(string + \".3\")\n \n \n _CFTIME_CALENDARS = [\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/weather-climate.rst","old_path":"a/doc/weather-climate.rst","new_path":"b/doc/weather-climate.rst","metadata":"diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\nindex f03dfd14c73..9a92a1842d3 100644\n--- a/doc/weather-climate.rst\n+++ b/doc/weather-climate.rst\n@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .\n \n For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n \n-- `Partial datetime string indexing`_ using strictly `ISO 8601-format`_ partial\n- datetime strings:\n+- `Partial datetime string indexing`_:\n \n .. ipython:: python\n \n da.sel(time=\"0001\")\n da.sel(time=slice(\"0001-05\", \"0002-02\"))\n \n+.. note::\n+\n+\n+ For specifying full or partial datetime strings in cftime\n+ indexing, xarray supports two versions of the `ISO 8601 standard`_, the\n+ basic pattern (YYYYMMDDhhmmss) or the extended pattern\n+ (YYYY-MM-DDThh:mm:ss), as well as the default cftime string format\n+ (YYYY-MM-DD hh:mm:ss). This is somewhat more restrictive than pandas;\n+ in other words, some datetime strings that would be valid for a\n+ :py:class:`pandas.DatetimeIndex` are not valid for an\n+ :py:class:`~xarray.CFTimeIndex`.\n+\n - Access of basic datetime components via the ``dt`` accessor (in this case\n just \"year\", \"month\", \"day\", \"hour\", \"minute\", \"second\", \"microsecond\",\n \"season\", \"dayofyear\", \"dayofweek\", and \"days_in_month\"):\n@@ -196,5 +207,5 @@ For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n encoded in your data and the dates stored in memory.\n \n .. _Timestamp-valid range: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#timestamp-limitations\n-.. _ISO 8601-format: https://en.wikipedia.org/wiki/ISO_8601\n+.. _ISO 8601 standard: https://en.wikipedia.org/wiki/ISO_8601\n .. _partial datetime string indexing: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#partial-string-indexing\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b48e5a4041f..3a9c3b71ea1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`4248`).\n By `Justus Magin <https://github.com/keewis>`_.\n+- Add support for parsing datetime strings formatted following the default\n+ string representation of cftime objects, i.e. YYYY-MM-DD hh:mm:ss, in\n+ partial datetime string indexing, as well as :py:meth:`~xarray.cftime_range`\n+ (:issue:`4337`). By `Spencer Clark <https://github.com/spencerkclark>`_.\n - :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n dimensions order (:issue:`4331`, :pull:`4333`).\n"}],"string":"[\n {\n \"path\": \"doc/weather-climate.rst\",\n \"old_path\": \"a/doc/weather-climate.rst\",\n \"new_path\": \"b/doc/weather-climate.rst\",\n \"metadata\": \"diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\\nindex f03dfd14c73..9a92a1842d3 100644\\n--- a/doc/weather-climate.rst\\n+++ b/doc/weather-climate.rst\\n@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .\\n \\n For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\\n \\n-- `Partial datetime string indexing`_ using strictly `ISO 8601-format`_ partial\\n- datetime strings:\\n+- `Partial datetime string indexing`_:\\n \\n .. ipython:: python\\n \\n da.sel(time=\\\"0001\\\")\\n da.sel(time=slice(\\\"0001-05\\\", \\\"0002-02\\\"))\\n \\n+.. note::\\n+\\n+\\n+ For specifying full or partial datetime strings in cftime\\n+ indexing, xarray supports two versions of the `ISO 8601 standard`_, the\\n+ basic pattern (YYYYMMDDhhmmss) or the extended pattern\\n+ (YYYY-MM-DDThh:mm:ss), as well as the default cftime string format\\n+ (YYYY-MM-DD hh:mm:ss). This is somewhat more restrictive than pandas;\\n+ in other words, some datetime strings that would be valid for a\\n+ :py:class:`pandas.DatetimeIndex` are not valid for an\\n+ :py:class:`~xarray.CFTimeIndex`.\\n+\\n - Access of basic datetime components via the ``dt`` accessor (in this case\\n just \\\"year\\\", \\\"month\\\", \\\"day\\\", \\\"hour\\\", \\\"minute\\\", \\\"second\\\", \\\"microsecond\\\",\\n \\\"season\\\", \\\"dayofyear\\\", \\\"dayofweek\\\", and \\\"days_in_month\\\"):\\n@@ -196,5 +207,5 @@ For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\\n encoded in your data and the dates stored in memory.\\n \\n .. _Timestamp-valid range: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#timestamp-limitations\\n-.. _ISO 8601-format: https://en.wikipedia.org/wiki/ISO_8601\\n+.. _ISO 8601 standard: https://en.wikipedia.org/wiki/ISO_8601\\n .. _partial datetime string indexing: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#partial-string-indexing\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex b48e5a4041f..3a9c3b71ea1 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -45,6 +45,10 @@ New Features\\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\\n document the new method in :doc:`internals`. (:pull:`4248`).\\n By `Justus Magin <https://github.com/keewis>`_.\\n+- Add support for parsing datetime strings formatted following the default\\n+ string representation of cftime objects, i.e. YYYY-MM-DD hh:mm:ss, in\\n+ partial datetime string indexing, as well as :py:meth:`~xarray.cftime_range`\\n+ (:issue:`4337`). By `Spencer Clark <https://github.com/spencerkclark>`_.\\n - :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\\n now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\\n dimensions order (:issue:`4331`, :pull:`4333`).\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"e6c111355137a123488c8dad48d473b32e9e5366"},"PASS2PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[month]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[minute]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[hour-dash]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[second-dash]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[day]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[hour-space-separator]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[day-dash]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[minute-space-separator]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[minute-dash]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[second]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[second-space-separator]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[year]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[hour]","xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[month-dash]"],"string":"[\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[month]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[minute]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[hour-dash]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[second-dash]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[day]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[hour-space-separator]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[day-dash]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[minute-space-separator]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[minute-dash]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[second]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[second-space-separator]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[year]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[hour]\",\n \"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[month-dash]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"function\",\n \"name\": \"parse_iso8601_like\"\n },\n {\n \"type\": \"field\",\n \"name\": \"parse_iso8601_like\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/weather-climate.rst","old_path":"a/doc/weather-climate.rst","new_path":"b/doc/weather-climate.rst","metadata":"diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\nindex f03dfd14c73..9a92a1842d3 100644\n--- a/doc/weather-climate.rst\n+++ b/doc/weather-climate.rst\n@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .\n \n For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n \n-- `Partial datetime string indexing`_ using strictly `ISO 8601-format`_ partial\n- datetime strings:\n+- `Partial datetime string indexing`_:\n \n .. ipython:: python\n \n da.sel(time=\"0001\")\n da.sel(time=slice(\"0001-05\", \"0002-02\"))\n \n+.. note::\n+\n+\n+ For specifying full or partial datetime strings in cftime\n+ indexing, xarray supports two versions of the `ISO 8601 standard`_, the\n+ basic pattern (YYYYMMDDhhmmss) or the extended pattern\n+ (YYYY-MM-DDThh:mm:ss), as well as the default cftime string format\n+ (YYYY-MM-DD hh:mm:ss). This is somewhat more restrictive than pandas;\n+ in other words, some datetime strings that would be valid for a\n+ :py:class:`pandas.DatetimeIndex` are not valid for an\n+ :py:class:`~xarray.CFTimeIndex`.\n+\n - Access of basic datetime components via the ``dt`` accessor (in this case\n just \"year\", \"month\", \"day\", \"hour\", \"minute\", \"second\", \"microsecond\",\n \"season\", \"dayofyear\", \"dayofweek\", and \"days_in_month\"):\n@@ -196,5 +207,5 @@ For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n encoded in your data and the dates stored in memory.\n \n .. _Timestamp-valid range: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#timestamp-limitations\n-.. _ISO 8601-format: https://en.wikipedia.org/wiki/ISO_8601\n+.. _ISO 8601 standard: https://en.wikipedia.org/wiki/ISO_8601\n .. _partial datetime string indexing: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#partial-string-indexing\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b48e5a4041f..3a9c3b71ea1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`<PRID>`).\n By `<NAME>`_.\n+- Add support for parsing datetime strings formatted following the default\n+ string representation of cftime objects, i.e. YYYY-MM-DD hh:mm:ss, in\n+ partial datetime string indexing, as well as :py:meth:`~xarray.cftime_range`\n+ (:issue:`<PRID>`). By `<NAME>`_.\n - :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n dimensions order (:issue:`<PRID>`, :pull:`<PRID>`).\n"}],"string":"[\n {\n \"path\": \"doc/weather-climate.rst\",\n \"old_path\": \"a/doc/weather-climate.rst\",\n \"new_path\": \"b/doc/weather-climate.rst\",\n \"metadata\": \"diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\\nindex f03dfd14c73..9a92a1842d3 100644\\n--- a/doc/weather-climate.rst\\n+++ b/doc/weather-climate.rst\\n@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .\\n \\n For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\\n \\n-- `Partial datetime string indexing`_ using strictly `ISO 8601-format`_ partial\\n- datetime strings:\\n+- `Partial datetime string indexing`_:\\n \\n .. ipython:: python\\n \\n da.sel(time=\\\"0001\\\")\\n da.sel(time=slice(\\\"0001-05\\\", \\\"0002-02\\\"))\\n \\n+.. note::\\n+\\n+\\n+ For specifying full or partial datetime strings in cftime\\n+ indexing, xarray supports two versions of the `ISO 8601 standard`_, the\\n+ basic pattern (YYYYMMDDhhmmss) or the extended pattern\\n+ (YYYY-MM-DDThh:mm:ss), as well as the default cftime string format\\n+ (YYYY-MM-DD hh:mm:ss). This is somewhat more restrictive than pandas;\\n+ in other words, some datetime strings that would be valid for a\\n+ :py:class:`pandas.DatetimeIndex` are not valid for an\\n+ :py:class:`~xarray.CFTimeIndex`.\\n+\\n - Access of basic datetime components via the ``dt`` accessor (in this case\\n just \\\"year\\\", \\\"month\\\", \\\"day\\\", \\\"hour\\\", \\\"minute\\\", \\\"second\\\", \\\"microsecond\\\",\\n \\\"season\\\", \\\"dayofyear\\\", \\\"dayofweek\\\", and \\\"days_in_month\\\"):\\n@@ -196,5 +207,5 @@ For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\\n encoded in your data and the dates stored in memory.\\n \\n .. _Timestamp-valid range: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#timestamp-limitations\\n-.. _ISO 8601-format: https://en.wikipedia.org/wiki/ISO_8601\\n+.. _ISO 8601 standard: https://en.wikipedia.org/wiki/ISO_8601\\n .. _partial datetime string indexing: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#partial-string-indexing\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex b48e5a4041f..3a9c3b71ea1 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -45,6 +45,10 @@ New Features\\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\\n document the new method in :doc:`internals`. (:pull:`<PRID>`).\\n By `<NAME>`_.\\n+- Add support for parsing datetime strings formatted following the default\\n+ string representation of cftime objects, i.e. YYYY-MM-DD hh:mm:ss, in\\n+ partial datetime string indexing, as well as :py:meth:`~xarray.cftime_range`\\n+ (:issue:`<PRID>`). By `<NAME>`_.\\n - :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\\n now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\\n dimensions order (:issue:`<PRID>`, :pull:`<PRID>`).\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\nindex f03dfd14c73..9a92a1842d3 100644\n--- a/doc/weather-climate.rst\n+++ b/doc/weather-climate.rst\n@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .\n \n For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n \n-- `Partial datetime string indexing`_ using strictly `ISO 8601-format`_ partial\n- datetime strings:\n+- `Partial datetime string indexing`_:\n \n .. ipython:: python\n \n da.sel(time=\"0001\")\n da.sel(time=slice(\"0001-05\", \"0002-02\"))\n \n+.. note::\n+\n+\n+ For specifying full or partial datetime strings in cftime\n+ indexing, xarray supports two versions of the `ISO 8601 standard`_, the\n+ basic pattern (YYYYMMDDhhmmss) or the extended pattern\n+ (YYYY-MM-DDThh:mm:ss), as well as the default cftime string format\n+ (YYYY-MM-DD hh:mm:ss). This is somewhat more restrictive than pandas;\n+ in other words, some datetime strings that would be valid for a\n+ :py:class:`pandas.DatetimeIndex` are not valid for an\n+ :py:class:`~xarray.CFTimeIndex`.\n+\n - Access of basic datetime components via the ``dt`` accessor (in this case\n just \"year\", \"month\", \"day\", \"hour\", \"minute\", \"second\", \"microsecond\",\n \"season\", \"dayofyear\", \"dayofweek\", and \"days_in_month\"):\n@@ -196,5 +207,5 @@ For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray currently supports:\n encoded in your data and the dates stored in memory.\n \n .. _Timestamp-valid range: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#timestamp-limitations\n-.. _ISO 8601-format: https://en.wikipedia.org/wiki/ISO_8601\n+.. _ISO 8601 standard: https://en.wikipedia.org/wiki/ISO_8601\n .. _partial datetime string indexing: https://pandas.pydata.org/pandas-docs/stable/timeseries.html#partial-string-indexing\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b48e5a4041f..3a9c3b71ea1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:class:`DataArray` and :py:class:`Dataset` objects and\n document the new method in :doc:`internals`. (:pull:`<PRID>`).\n By `<NAME>`_.\n+- Add support for parsing datetime strings formatted following the default\n+ string representation of cftime objects, i.e. YYYY-MM-DD hh:mm:ss, in\n+ partial datetime string indexing, as well as :py:meth:`~xarray.cftime_range`\n+ (:issue:`<PRID>`). By `<NAME>`_.\n - :py:meth:`~xarray.DataArray.to_dataframe` and :py:meth:`~xarray.Dataset.to_dataframe`\n now accept a ``dim_order`` parameter allowing to specify the resulting dataframe's\n dimensions order (:issue:`<PRID>`, :pull:`<PRID>`).\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'function', 'name': 'parse_iso8601_like'}, {'type': 'field', 'name': 'parse_iso8601_like'}]\n"}}},{"rowIdx":583,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-5184"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/5184"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 87834d2e676..dd1db41fe23 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -71,6 +71,10 @@ New Features\n By `Richard Kleijn <https://github.com/rhkleijn>`_ .\n - Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`4971`).\n By `Justus Magin <https://github.com/keewis>`_.\n+- Enable passing arrays with a subset of dimensions to\n+ :py:meth:`DataArray.clip` & :py:meth:`Dataset.clip`; these methods now use\n+ :py:func:`xarray.apply_ufunc`; (:pull:`5184`).\n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\n By `Sam Levang <https://github.com/slevang>`_.\ndiff --git a/xarray/core/_typed_ops.py b/xarray/core/_typed_ops.py\nindex a5a9b99e275..d1e68a6fc0d 100644\n--- a/xarray/core/_typed_ops.py\n+++ b/xarray/core/_typed_ops.py\n@@ -144,9 +144,6 @@ def round(self, *args, **kwargs):\n def argsort(self, *args, **kwargs):\n return self._unary_op(ops.argsort, *args, **kwargs)\n \n- def clip(self, *args, **kwargs):\n- return self._unary_op(ops.clip, *args, **kwargs)\n-\n def conj(self, *args, **kwargs):\n return self._unary_op(ops.conj, *args, **kwargs)\n \n@@ -195,7 +192,6 @@ def conjugate(self, *args, **kwargs):\n __invert__.__doc__ = operator.invert.__doc__\n round.__doc__ = ops.round_.__doc__\n argsort.__doc__ = ops.argsort.__doc__\n- clip.__doc__ = ops.clip.__doc__\n conj.__doc__ = ops.conj.__doc__\n conjugate.__doc__ = ops.conjugate.__doc__\n \n@@ -338,9 +334,6 @@ def round(self, *args, **kwargs):\n def argsort(self, *args, **kwargs):\n return self._unary_op(ops.argsort, *args, **kwargs)\n \n- def clip(self, *args, **kwargs):\n- return self._unary_op(ops.clip, *args, **kwargs)\n-\n def conj(self, *args, **kwargs):\n return self._unary_op(ops.conj, *args, **kwargs)\n \n@@ -389,7 +382,6 @@ def conjugate(self, *args, **kwargs):\n __invert__.__doc__ = operator.invert.__doc__\n round.__doc__ = ops.round_.__doc__\n argsort.__doc__ = ops.argsort.__doc__\n- clip.__doc__ = ops.clip.__doc__\n conj.__doc__ = ops.conj.__doc__\n conjugate.__doc__ = ops.conjugate.__doc__\n \n@@ -532,9 +524,6 @@ def round(self, *args, **kwargs):\n def argsort(self, *args, **kwargs):\n return self._unary_op(ops.argsort, *args, **kwargs)\n \n- def clip(self, *args, **kwargs):\n- return self._unary_op(ops.clip, *args, **kwargs)\n-\n def conj(self, *args, **kwargs):\n return self._unary_op(ops.conj, *args, **kwargs)\n \n@@ -583,7 +572,6 @@ def conjugate(self, *args, **kwargs):\n __invert__.__doc__ = operator.invert.__doc__\n round.__doc__ = ops.round_.__doc__\n argsort.__doc__ = ops.argsort.__doc__\n- clip.__doc__ = ops.clip.__doc__\n conj.__doc__ = ops.conj.__doc__\n conjugate.__doc__ = ops.conjugate.__doc__\n \ndiff --git a/xarray/core/_typed_ops.pyi b/xarray/core/_typed_ops.pyi\nindex 0eaced16d9f..4a6c2dc7b4e 100644\n--- a/xarray/core/_typed_ops.pyi\n+++ b/xarray/core/_typed_ops.pyi\n@@ -64,7 +64,6 @@ class DatasetOpsMixin:\n def __invert__(self: T_Dataset) -> T_Dataset: ...\n def round(self: T_Dataset, *args, **kwargs) -> T_Dataset: ...\n def argsort(self: T_Dataset, *args, **kwargs) -> T_Dataset: ...\n- def clip(self: T_Dataset, *args, **kwargs) -> T_Dataset: ...\n def conj(self: T_Dataset, *args, **kwargs) -> T_Dataset: ...\n def conjugate(self: T_Dataset, *args, **kwargs) -> T_Dataset: ...\n \n@@ -235,7 +234,6 @@ class DataArrayOpsMixin:\n def __invert__(self: T_DataArray) -> T_DataArray: ...\n def round(self: T_DataArray, *args, **kwargs) -> T_DataArray: ...\n def argsort(self: T_DataArray, *args, **kwargs) -> T_DataArray: ...\n- def clip(self: T_DataArray, *args, **kwargs) -> T_DataArray: ...\n def conj(self: T_DataArray, *args, **kwargs) -> T_DataArray: ...\n def conjugate(self: T_DataArray, *args, **kwargs) -> T_DataArray: ...\n \n@@ -406,7 +404,6 @@ class VariableOpsMixin:\n def __invert__(self: T_Variable) -> T_Variable: ...\n def round(self: T_Variable, *args, **kwargs) -> T_Variable: ...\n def argsort(self: T_Variable, *args, **kwargs) -> T_Variable: ...\n- def clip(self: T_Variable, *args, **kwargs) -> T_Variable: ...\n def conj(self: T_Variable, *args, **kwargs) -> T_Variable: ...\n def conjugate(self: T_Variable, *args, **kwargs) -> T_Variable: ...\n \ndiff --git a/xarray/core/common.py b/xarray/core/common.py\nindex 2b0eac89146..087bc7e4dfe 100644\n--- a/xarray/core/common.py\n+++ b/xarray/core/common.py\n@@ -380,6 +380,28 @@ def squeeze(\n dims = get_squeeze_dims(self, dim, axis)\n return self.isel(drop=drop, **{d: 0 for d in dims})\n \n+ def clip(self, min=None, max=None, *, keep_attrs: bool = None):\n+ \"\"\"\n+ Return an array whose values are limited to ``[min, max]``.\n+ At least one of max or min must be given.\n+\n+ Refer to `numpy.clip` for full documentation.\n+\n+ See Also\n+ --------\n+ numpy.clip : equivalent function\n+ \"\"\"\n+ from .computation import apply_ufunc\n+\n+ if keep_attrs is None:\n+ # When this was a unary func, the default was True, so retaining the\n+ # default.\n+ keep_attrs = _get_keep_attrs(default=True)\n+\n+ return apply_ufunc(\n+ np.clip, self, min, max, keep_attrs=keep_attrs, dask=\"allowed\"\n+ )\n+\n def get_index(self, key: Hashable) -> pd.Index:\n \"\"\"Get an index for a dimension, with fall-back to a default RangeIndex\"\"\"\n if key not in self.dims:\ndiff --git a/xarray/core/ops.py b/xarray/core/ops.py\nindex 50495b84246..27740d53d45 100644\n--- a/xarray/core/ops.py\n+++ b/xarray/core/ops.py\n@@ -291,7 +291,6 @@ def inplace_to_noninplace_op(f):\n \n # _typed_ops.py uses the following wrapped functions as a kind of unary operator\n argsort = _method_wrapper(\"argsort\")\n-clip = _method_wrapper(\"clip\")\n conj = _method_wrapper(\"conj\")\n conjugate = _method_wrapper(\"conjugate\")\n round_ = _func_slash_method_wrapper(duck_array_ops.around, name=\"round\")\ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex 79850c0db36..469174f35e2 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -1665,6 +1665,21 @@ def fillna(self, value):\n def where(self, cond, other=dtypes.NA):\n return ops.where_method(self, cond, other)\n \n+ def clip(self, min=None, max=None):\n+ \"\"\"\n+ Return an array whose values are limited to ``[min, max]``.\n+ At least one of max or min must be given.\n+\n+ Refer to `numpy.clip` for full documentation.\n+\n+ See Also\n+ --------\n+ numpy.clip : equivalent function\n+ \"\"\"\n+ from .computation import apply_ufunc\n+\n+ return apply_ufunc(np.clip, self, min, max, dask=\"allowed\")\n+\n def reduce(\n self,\n func,\ndiff --git a/xarray/util/generate_ops.py b/xarray/util/generate_ops.py\nindex 9cd5dd1b8f5..b6b7f8cbac7 100644\n--- a/xarray/util/generate_ops.py\n+++ b/xarray/util/generate_ops.py\n@@ -66,7 +66,6 @@\n OTHER_UNARY_METHODS = (\n (\"round\", \"ops.round_\"),\n (\"argsort\", \"ops.argsort\"),\n- (\"clip\", \"ops.clip\"),\n (\"conj\", \"ops.conj\"),\n (\"conjugate\", \"ops.conjugate\"),\n )\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex c18f9acfca1..accb601fc1b 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -6434,28 +6434,43 @@ def test_idxminmax_dask(self, op, ndim):\n assert_equal(getattr(ar0_dsk, op)(dim=\"x\"), getattr(ar0_raw, op)(dim=\"x\"))\n \n \n+@pytest.fixture(params=[\"numpy\", pytest.param(\"dask\", marks=requires_dask)])\n+def backend(request):\n+ return request.param\n+\n+\n @pytest.fixture(params=[1])\n-def da(request):\n+def da(request, backend):\n if request.param == 1:\n times = pd.date_range(\"2000-01-01\", freq=\"1D\", periods=21)\n- values = np.random.random((3, 21, 4))\n- da = DataArray(values, dims=(\"a\", \"time\", \"x\"))\n- da[\"time\"] = times\n- return da\n+ da = DataArray(\n+ np.random.random((3, 21, 4)),\n+ dims=(\"a\", \"time\", \"x\"),\n+ coords=dict(time=times),\n+ )\n \n if request.param == 2:\n- return DataArray([0, np.nan, 1, 2, np.nan, 3, 4, 5, np.nan, 6, 7], dims=\"time\")\n+ da = DataArray([0, np.nan, 1, 2, np.nan, 3, 4, 5, np.nan, 6, 7], dims=\"time\")\n \n if request.param == \"repeating_ints\":\n- return DataArray(\n+ da = DataArray(\n np.tile(np.arange(12), 5).reshape(5, 4, 3),\n coords={\"x\": list(\"abc\"), \"y\": list(\"defg\")},\n dims=list(\"zyx\"),\n )\n \n+ if backend == \"dask\":\n+ return da.chunk()\n+ elif backend == \"numpy\":\n+ return da\n+ else:\n+ raise ValueError\n+\n \n @pytest.fixture\n def da_dask(seed=123):\n+ # TODO: if possible, use the `da` fixture parameterized with backends rather than\n+ # this.\n pytest.importorskip(\"dask.array\")\n rs = np.random.RandomState(seed)\n times = pd.date_range(\"2000-01-01\", freq=\"1D\", periods=21)\n@@ -6596,6 +6611,7 @@ def test_rolling_properties(da):\n @pytest.mark.parametrize(\"name\", (\"sum\", \"mean\", \"std\", \"min\", \"max\", \"median\"))\n @pytest.mark.parametrize(\"center\", (True, False, None))\n @pytest.mark.parametrize(\"min_periods\", (1, None))\n+@pytest.mark.parametrize(\"backend\", [\"numpy\"], indirect=True)\n def test_rolling_wrapped_bottleneck(da, name, center, min_periods):\n bn = pytest.importorskip(\"bottleneck\", minversion=\"1.1\")\n \n@@ -6898,12 +6914,7 @@ def test_rolling_keep_attrs_deprecated():\n data = np.linspace(10, 15, 100)\n coords = np.linspace(1, 10, 100)\n \n- da = DataArray(\n- data,\n- dims=(\"coord\"),\n- coords={\"coord\": coords},\n- attrs=attrs_da,\n- )\n+ da = DataArray(data, dims=(\"coord\"), coords={\"coord\": coords}, attrs=attrs_da)\n \n # deprecated option\n with pytest.warns(\n@@ -7206,6 +7217,7 @@ def test_fallback_to_iris_AuxCoord(self, coord_values):\n @pytest.mark.parametrize(\n \"window_type, window\", [[\"span\", 5], [\"alpha\", 0.5], [\"com\", 0.5], [\"halflife\", 5]]\n )\n+@pytest.mark.parametrize(\"backend\", [\"numpy\"], indirect=True)\n def test_rolling_exp(da, dim, window_type, window):\n da = da.isel(a=0)\n da = da.where(da > 0.2)\n@@ -7225,6 +7237,7 @@ def test_rolling_exp(da, dim, window_type, window):\n \n \n @requires_numbagg\n+@pytest.mark.parametrize(\"backend\", [\"numpy\"], indirect=True)\n def test_rolling_exp_keep_attrs(da):\n attrs = {\"attrs\": \"da\"}\n da.attrs = attrs\n@@ -7313,3 +7326,35 @@ def test_deepcopy_obj_array():\n x0 = DataArray(np.array([object()]))\n x1 = deepcopy(x0)\n assert x0.values[0] is not x1.values[0]\n+\n+\n+def test_clip(da):\n+ with raise_if_dask_computes():\n+ result = da.clip(min=0.5)\n+ assert result.min(...) >= 0.5\n+\n+ result = da.clip(max=0.5)\n+ assert result.max(...) <= 0.5\n+\n+ result = da.clip(min=0.25, max=0.75)\n+ assert result.min(...) >= 0.25\n+ assert result.max(...) <= 0.75\n+\n+ with raise_if_dask_computes():\n+ result = da.clip(min=da.mean(\"x\"), max=da.mean(\"a\"))\n+ assert result.dims == da.dims\n+ assert_array_equal(\n+ result.data,\n+ np.clip(da.data, da.mean(\"x\").data[:, :, np.newaxis], da.mean(\"a\").data),\n+ )\n+\n+ with_nans = da.isel(time=[0, 1]).reindex_like(da)\n+ with raise_if_dask_computes():\n+ result = da.clip(min=da.mean(\"x\"), max=da.mean(\"a\"))\n+ result = da.clip(with_nans)\n+ # The values should be the same where there were NaNs.\n+ assert_array_equal(result.isel(time=[0, 1]), with_nans.isel(time=[0, 1]))\n+\n+ # Unclear whether we want this work, OK to adjust the test when we have decided.\n+ with pytest.raises(ValueError, match=\"arguments without labels along dimension\"):\n+ result = da.clip(min=da.mean(\"x\"), max=da.mean(\"a\").isel(x=[0, 1]))\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex fb15f15df1a..96570a8415b 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -6069,16 +6069,16 @@ def test_dir_unicode(data_set):\n def ds(request):\n if request.param == 1:\n return Dataset(\n- {\n- \"z1\": ([\"y\", \"x\"], np.random.randn(2, 8)),\n- \"z2\": ([\"time\", \"y\"], np.random.randn(10, 2)),\n- },\n- {\n- \"x\": (\"x\", np.linspace(0, 1.0, 8)),\n- \"time\": (\"time\", np.linspace(0, 1.0, 10)),\n- \"c\": (\"y\", [\"a\", \"b\"]),\n- \"y\": range(2),\n- },\n+ dict(\n+ z1=([\"y\", \"x\"], np.random.randn(2, 8)),\n+ z2=([\"time\", \"y\"], np.random.randn(10, 2)),\n+ ),\n+ dict(\n+ x=(\"x\", np.linspace(0, 1.0, 8)),\n+ time=(\"time\", np.linspace(0, 1.0, 10)),\n+ c=(\"y\", [\"a\", \"b\"]),\n+ y=range(2),\n+ ),\n )\n \n if request.param == 2:\n@@ -6845,3 +6845,18 @@ def test_deepcopy_obj_array():\n x0 = Dataset(dict(foo=DataArray(np.array([object()]))))\n x1 = deepcopy(x0)\n assert x0[\"foo\"].values[0] is not x1[\"foo\"].values[0]\n+\n+\n+def test_clip(ds):\n+ result = ds.clip(min=0.5)\n+ assert result.min(...) >= 0.5\n+\n+ result = ds.clip(max=0.5)\n+ assert result.max(...) <= 0.5\n+\n+ result = ds.clip(min=0.25, max=0.75)\n+ assert result.min(...) >= 0.25\n+ assert result.max(...) <= 0.75\n+\n+ result = ds.clip(min=ds.mean(\"y\"), max=ds.mean(\"y\"))\n+ assert result.dims == ds.dims\ndiff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py\nindex c951e7d3118..5e8e02a82f8 100644\n--- a/xarray/tests/test_variable.py\n+++ b/xarray/tests/test_variable.py\n@@ -48,6 +48,11 @@\n ]\n \n \n+@pytest.fixture\n+def var():\n+ return Variable(dims=list(\"xyz\"), data=np.random.rand(3, 4, 5))\n+\n+\n class VariableSubclassobjects:\n def test_properties(self):\n data = 0.5 * np.arange(10)\n@@ -2510,3 +2515,27 @@ def test_DaskIndexingAdapter(self):\n v = Variable(dims=(\"x\", \"y\"), data=CopyOnWriteArray(DaskIndexingAdapter(da)))\n self.check_orthogonal_indexing(v)\n self.check_vectorized_indexing(v)\n+\n+\n+def test_clip(var):\n+ # Copied from test_dataarray (would there be a way to combine the tests?)\n+ result = var.clip(min=0.5)\n+ assert result.min(...) >= 0.5\n+\n+ result = var.clip(max=0.5)\n+ assert result.max(...) <= 0.5\n+\n+ result = var.clip(min=0.25, max=0.75)\n+ assert result.min(...) >= 0.25\n+ assert result.max(...) <= 0.75\n+\n+ result = var.clip(min=var.mean(\"x\"), max=var.mean(\"z\"))\n+ assert result.dims == var.dims\n+ assert_array_equal(\n+ result.data,\n+ np.clip(\n+ var.data,\n+ var.mean(\"x\").data[np.newaxis, :, :],\n+ var.mean(\"z\").data[:, :, np.newaxis],\n+ ),\n+ )\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 87834d2e676..dd1db41fe23 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -71,6 +71,10 @@ New Features\n By `Richard Kleijn <https://github.com/rhkleijn>`_ .\n - Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`4971`).\n By `Justus Magin <https://github.com/keewis>`_.\n+- Enable passing arrays with a subset of dimensions to\n+ :py:meth:`DataArray.clip` & :py:meth:`Dataset.clip`; these methods now use\n+ :py:func:`xarray.apply_ufunc`; (:pull:`5184`).\n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\n By `Sam Levang <https://github.com/slevang>`_.\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 87834d2e676..dd1db41fe23 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -71,6 +71,10 @@ New Features\\n By `Richard Kleijn <https://github.com/rhkleijn>`_ .\\n - Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`4971`).\\n By `Justus Magin <https://github.com/keewis>`_.\\n+- Enable passing arrays with a subset of dimensions to\\n+ :py:meth:`DataArray.clip` & :py:meth:`Dataset.clip`; these methods now use\\n+ :py:func:`xarray.apply_ufunc`; (:pull:`5184`).\\n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.\\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`4300`, :pull:`4849`)\\n By `Sam Levang <https://github.com/slevang>`_.\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0018"},"base_commit":{"kind":"string","value":"e0358e586079c12525ce60c4a51b591dc280713b"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-sum-1-1-True-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-std-4-1-False-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_pandas_compat[4-2-True]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_where\",\n \"xarray/tests/test_dataset.py::TestDataset::test_assign_coords\",\n \"xarray/tests/test_dataset.py::test_differentiate[2-True]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-mean-1-2-True-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-1-3-False-1]\",\n \"xarray/tests/test_dataarray.py::test_coarsen_reduce[dask-std-2-2]\",\n \"xarray/tests/test_variable.py::TestVariableWithDask::test_properties\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-1-False-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_pandas_compat[2-3-False]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-std-4-3-False-1]\",\n \"xarray/tests/test_variable.py::test_raise_no_warning_for_nan_in_binary_ops\",\n \"xarray/tests/test_dataset.py::TestDataset::test_roll_multidim\",\n \"xarray/tests/test_variable.py::TestVariable::test_0d_timedelta\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-max-1-1-True-1]\",\n \"xarray/tests/test_variable.py::TestVariable::test_0d_str\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-max-1-3-False-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-std-2-None-False-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-sum-2-2-True-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_convert_dataframe_with_many_types_and_multiindex\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-1-3-True-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-std-4-1-True-2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_from_dataframe_non_unique_columns\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_drop_coordinates\",\n \"xarray/tests/test_dataset.py::test_isin[test_elements0]\",\n \"xarray/tests/test_dataarray.py::test_rolling_iter[numpy-1]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-std-1-2-True-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_repr_multiindex\",\n \"xarray/tests/test_dataset.py::test_coarsen_reduce[max-2-1]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-std-4-1-True-2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_query[dask-python-pandas]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-max-3-None-True-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce_nonnumeric[max-2-1-True]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-std-4-1-False-2]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[0-x-q1-True]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_query[dask-None-python]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_max[x5-0-1-None]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-mean-3-None-True-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[std-2-1-True-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-mean-4-2-True-2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_to_stacked_array_dtype_dims\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_drop_index_positions\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-2-2-True-1]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_argmin_dim[x5-0-1-None]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_coordinate_diff\",\n \"xarray/tests/test_dataset.py::TestDataset::test_rename_does_not_change_CFTimeIndex_type\",\n \"xarray/tests/test_dataarray.py::test_ndrolling_reduce[dask-mean-1-False-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_get_index\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-3-False-2]\",\n \"xarray/tests/test_variable.py::TestVariable::test_getitem_fancy\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-sum-2-1-True-1]\",\n \"xarray/tests/test_variable.py::TestVariable::test_datetime64_conversion_scalar\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_dataset.py::test_clip[1]","xarray/tests/test_dataarray.py::test_clip[1-dask]","xarray/tests/test_variable.py::test_clip","xarray/tests/test_dataarray.py::test_clip[1-numpy]"],"string":"[\n \"xarray/tests/test_dataset.py::test_clip[1]\",\n \"xarray/tests/test_dataarray.py::test_clip[1-dask]\",\n \"xarray/tests/test_variable.py::test_clip\",\n \"xarray/tests/test_dataarray.py::test_clip[1-numpy]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"min\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 87834d2e676..dd1db41fe23 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -71,6 +71,10 @@ New Features\n By `<NAME>`_ .\n - Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`<PRID>`).\n By `<NAME>`_.\n+- Enable passing arrays with a subset of dimensions to\n+ :py:meth:`DataArray.clip` & :py:meth:`Dataset.clip`; these methods now use\n+ :py:func:`xarray.apply_ufunc`; (:pull:`<PRID>`).\n+ By `<NAME>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 87834d2e676..dd1db41fe23 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -71,6 +71,10 @@ New Features\\n By `<NAME>`_ .\\n - Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`<PRID>`).\\n By `<NAME>`_.\\n+- Enable passing arrays with a subset of dimensions to\\n+ :py:meth:`DataArray.clip` & :py:meth:`Dataset.clip`; these methods now use\\n+ :py:func:`xarray.apply_ufunc`; (:pull:`<PRID>`).\\n+ By `<NAME>`_.\\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\\n By `<NAME>`_.\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 87834d2e676..dd1db41fe23 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -71,6 +71,10 @@ New Features\n By `<NAME>`_ .\n - Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`<PRID>`).\n By `<NAME>`_.\n+- Enable passing arrays with a subset of dimensions to\n+ :py:meth:`DataArray.clip` & :py:meth:`Dataset.clip`; these methods now use\n+ :py:func:`xarray.apply_ufunc`; (:pull:`<PRID>`).\n+ By `<NAME>`_.\n - Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.\n - Added :py:meth:`DataArray.curvefit` and :py:meth:`Dataset.curvefit` for general curve fitting applications. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'min'}]\n"}}},{"rowIdx":584,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4219"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4219"},"feature_patch":{"kind":"string","value":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 3660aed93ed..474c3905981 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -188,9 +188,16 @@ a value when aggregating:\n r = arr.rolling(y=3, center=True, min_periods=2)\n r.mean()\n \n+From version 0.17, xarray supports multidimensional rolling,\n+\n+.. ipython:: python\n+\n+ r = arr.rolling(x=2, y=3, min_periods=2)\n+ r.mean()\n+\n .. tip::\n \n- Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects.\n+ Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects with 1d-rolling.\n \n .. _bottleneck: https://github.com/pydata/bottleneck/\n \ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex c4cf931be61..9d4261da2dd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n+ now accept more than 1 dimension.(:pull:`4219`)\n+ By `Keisuke Fujii <https://github.com/fujiisoup>`_.\n - Build :py:meth:`CFTimeIndex.__repr__` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`2416`, :pull:`4092`)\ndiff --git a/xarray/core/common.py b/xarray/core/common.py\nindex c95df77313e..bc5035b682e 100644\n--- a/xarray/core/common.py\n+++ b/xarray/core/common.py\n@@ -786,7 +786,7 @@ def rolling(\n self,\n dim: Mapping[Hashable, int] = None,\n min_periods: int = None,\n- center: bool = False,\n+ center: Union[bool, Mapping[Hashable, bool]] = False,\n keep_attrs: bool = None,\n **window_kwargs: int,\n ):\n@@ -802,7 +802,7 @@ def rolling(\n Minimum number of observations in window required to have a value\n (otherwise result is NA). The default, None, is equivalent to\n setting min_periods equal to the size of the window.\n- center : boolean, default False\n+ center : boolean, or a mapping, default False\n Set the labels at the center of the window.\n keep_attrs : bool, optional\n If True, the object's attributes (`attrs`) will be copied from\ndiff --git a/xarray/core/dask_array_ops.py b/xarray/core/dask_array_ops.py\nindex 87f646352eb..74474f4321e 100644\n--- a/xarray/core/dask_array_ops.py\n+++ b/xarray/core/dask_array_ops.py\n@@ -32,69 +32,80 @@ def rolling_window(a, axis, window, center, fill_value):\n \"\"\"\n import dask.array as da\n \n+ if not hasattr(axis, \"__len__\"):\n+ axis = [axis]\n+ window = [window]\n+ center = [center]\n+\n orig_shape = a.shape\n- if axis < 0:\n- axis = a.ndim + axis\n depth = {d: 0 for d in range(a.ndim)}\n- depth[axis] = int(window / 2)\n- # For evenly sized window, we need to crop the first point of each block.\n- offset = 1 if window % 2 == 0 else 0\n-\n- if depth[axis] > min(a.chunks[axis]):\n- raise ValueError(\n- \"For window size %d, every chunk should be larger than %d, \"\n- \"but the smallest chunk size is %d. Rechunk your array\\n\"\n- \"with a larger chunk size or a chunk size that\\n\"\n- \"more evenly divides the shape of your array.\"\n- % (window, depth[axis], min(a.chunks[axis]))\n- )\n-\n- # Although da.overlap pads values to boundaries of the array,\n- # the size of the generated array is smaller than what we want\n- # if center == False.\n- if center:\n- start = int(window / 2) # 10 -> 5, 9 -> 4\n- end = window - 1 - start\n- else:\n- start, end = window - 1, 0\n- pad_size = max(start, end) + offset - depth[axis]\n- drop_size = 0\n- # pad_size becomes more than 0 when the overlapped array is smaller than\n- # needed. In this case, we need to enlarge the original array by padding\n- # before overlapping.\n- if pad_size > 0:\n- if pad_size < depth[axis]:\n- # overlapping requires each chunk larger than depth. If pad_size is\n- # smaller than the depth, we enlarge this and truncate it later.\n- drop_size = depth[axis] - pad_size\n- pad_size = depth[axis]\n- shape = list(a.shape)\n- shape[axis] = pad_size\n- chunks = list(a.chunks)\n- chunks[axis] = (pad_size,)\n- fill_array = da.full(shape, fill_value, dtype=a.dtype, chunks=chunks)\n- a = da.concatenate([fill_array, a], axis=axis)\n-\n+ offset = [0] * a.ndim\n+ drop_size = [0] * a.ndim\n+ pad_size = [0] * a.ndim\n+ for ax, win, cent in zip(axis, window, center):\n+ if ax < 0:\n+ ax = a.ndim + ax\n+ depth[ax] = int(win / 2)\n+ # For evenly sized window, we need to crop the first point of each block.\n+ offset[ax] = 1 if win % 2 == 0 else 0\n+\n+ if depth[ax] > min(a.chunks[ax]):\n+ raise ValueError(\n+ \"For window size %d, every chunk should be larger than %d, \"\n+ \"but the smallest chunk size is %d. Rechunk your array\\n\"\n+ \"with a larger chunk size or a chunk size that\\n\"\n+ \"more evenly divides the shape of your array.\"\n+ % (win, depth[ax], min(a.chunks[ax]))\n+ )\n+\n+ # Although da.overlap pads values to boundaries of the array,\n+ # the size of the generated array is smaller than what we want\n+ # if center == False.\n+ if cent:\n+ start = int(win / 2) # 10 -> 5, 9 -> 4\n+ end = win - 1 - start\n+ else:\n+ start, end = win - 1, 0\n+ pad_size[ax] = max(start, end) + offset[ax] - depth[ax]\n+ drop_size[ax] = 0\n+ # pad_size becomes more than 0 when the overlapped array is smaller than\n+ # needed. In this case, we need to enlarge the original array by padding\n+ # before overlapping.\n+ if pad_size[ax] > 0:\n+ if pad_size[ax] < depth[ax]:\n+ # overlapping requires each chunk larger than depth. If pad_size is\n+ # smaller than the depth, we enlarge this and truncate it later.\n+ drop_size[ax] = depth[ax] - pad_size[ax]\n+ pad_size[ax] = depth[ax]\n+\n+ # TODO maybe following two lines can be summarized.\n+ a = da.pad(\n+ a, [(p, 0) for p in pad_size], mode=\"constant\", constant_values=fill_value\n+ )\n boundary = {d: fill_value for d in range(a.ndim)}\n \n # create overlap arrays\n ag = da.overlap.overlap(a, depth=depth, boundary=boundary)\n \n- # apply rolling func\n- def func(x, window, axis=-1):\n+ def func(x, window, axis):\n x = np.asarray(x)\n- rolling = nputils._rolling_window(x, window, axis)\n- return rolling[(slice(None),) * axis + (slice(offset, None),)]\n-\n- chunks = list(a.chunks)\n- chunks.append(window)\n+ index = [slice(None)] * x.ndim\n+ for ax, win in zip(axis, window):\n+ x = nputils._rolling_window(x, win, ax)\n+ index[ax] = slice(offset[ax], None)\n+ return x[tuple(index)]\n+\n+ chunks = list(a.chunks) + window\n+ new_axis = [a.ndim + i for i in range(len(axis))]\n out = ag.map_blocks(\n- func, dtype=a.dtype, new_axis=a.ndim, chunks=chunks, window=window, axis=axis\n+ func, dtype=a.dtype, new_axis=new_axis, chunks=chunks, window=window, axis=axis\n )\n \n # crop boundary.\n- index = (slice(None),) * axis + (slice(drop_size, drop_size + orig_shape[axis]),)\n- return out[index]\n+ index = [slice(None)] * a.ndim\n+ for ax in axis:\n+ index[ax] = slice(drop_size[ax], drop_size[ax] + orig_shape[ax])\n+ return out[tuple(index)]\n \n \n def least_squares(lhs, rhs, rcond=None, skipna=False):\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 9fbaf7479db..68f76c7af2c 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -5968,7 +5968,7 @@ def polyfit(\n skipna_da = np.any(da.isnull())\n \n dims_to_stack = [dimname for dimname in da.dims if dimname != dim]\n- stacked_coords = {}\n+ stacked_coords: Dict[Hashable, DataArray] = {}\n if dims_to_stack:\n stacked_dim = utils.get_temp_dimname(dims_to_stack, \"stacked\")\n rhs = da.transpose(dim, *dims_to_stack).stack(\ndiff --git a/xarray/core/nputils.py b/xarray/core/nputils.py\nindex fa6df63e0ea..4f592eb3c5c 100644\n--- a/xarray/core/nputils.py\n+++ b/xarray/core/nputils.py\n@@ -135,14 +135,22 @@ def __setitem__(self, key, value):\n def rolling_window(a, axis, window, center, fill_value):\n \"\"\" rolling window with padding. \"\"\"\n pads = [(0, 0) for s in a.shape]\n- if center:\n- start = int(window / 2) # 10 -> 5, 9 -> 4\n- end = window - 1 - start\n- pads[axis] = (start, end)\n- else:\n- pads[axis] = (window - 1, 0)\n+ if not hasattr(axis, \"__len__\"):\n+ axis = [axis]\n+ window = [window]\n+ center = [center]\n+\n+ for ax, win, cent in zip(axis, window, center):\n+ if cent:\n+ start = int(win / 2) # 10 -> 5, 9 -> 4\n+ end = win - 1 - start\n+ pads[ax] = (start, end)\n+ else:\n+ pads[ax] = (win - 1, 0)\n a = np.pad(a, pads, mode=\"constant\", constant_values=fill_value)\n- return _rolling_window(a, window, axis)\n+ for ax, win in zip(axis, window):\n+ a = _rolling_window(a, win, ax)\n+ return a\n \n \n def _rolling_window(a, window, axis=-1):\ndiff --git a/xarray/core/rolling.py b/xarray/core/rolling.py\nindex ecba5307680..5f996565243 100644\n--- a/xarray/core/rolling.py\n+++ b/xarray/core/rolling.py\n@@ -75,40 +75,32 @@ def __init__(self, obj, windows, min_periods=None, center=False, keep_attrs=None\n -------\n rolling : type of input argument\n \"\"\"\n- if len(windows) != 1:\n- raise ValueError(\"exactly one dim/window should be provided\")\n-\n- dim, window = next(iter(windows.items()))\n-\n- if window <= 0:\n- raise ValueError(\"window must be > 0\")\n-\n+ self.dim, self.window = [], []\n+ for d, w in windows.items():\n+ self.dim.append(d)\n+ if w <= 0:\n+ raise ValueError(\"window must be > 0\")\n+ self.window.append(w)\n+\n+ self.center = self._mapping_to_list(center, default=False)\n self.obj = obj\n \n # attributes\n- self.window = window\n if min_periods is not None and min_periods <= 0:\n raise ValueError(\"min_periods must be greater than zero or None\")\n- self.min_periods = min_periods\n \n- self.center = center\n- self.dim = dim\n+ self.min_periods = np.prod(self.window) if min_periods is None else min_periods\n \n if keep_attrs is None:\n keep_attrs = _get_keep_attrs(default=False)\n self.keep_attrs = keep_attrs\n \n- @property\n- def _min_periods(self):\n- return self.min_periods if self.min_periods is not None else self.window\n-\n def __repr__(self):\n \"\"\"provide a nice str repr of our rolling object\"\"\"\n \n attrs = [\n \"{k}->{v}\".format(k=k, v=getattr(self, k))\n- for k in self._attributes\n- if getattr(self, k, None) is not None\n+ for k in list(self.dim) + self.window + self.center + [self.min_periods]\n ]\n return \"{klass} [{attrs}]\".format(\n klass=self.__class__.__name__, attrs=\",\".join(attrs)\n@@ -143,11 +135,29 @@ def method(self, **kwargs):\n \n def count(self):\n rolling_count = self._counts()\n- enough_periods = rolling_count >= self._min_periods\n+ enough_periods = rolling_count >= self.min_periods\n return rolling_count.where(enough_periods)\n \n count.__doc__ = _ROLLING_REDUCE_DOCSTRING_TEMPLATE.format(name=\"count\")\n \n+ def _mapping_to_list(\n+ self, arg, default=None, allow_default=True, allow_allsame=True\n+ ):\n+ if utils.is_dict_like(arg):\n+ if allow_default:\n+ return [arg.get(d, default) for d in self.dim]\n+ else:\n+ for d in self.dim:\n+ if d not in arg:\n+ raise KeyError(\"argument has no key {}.\".format(d))\n+ return [arg[d] for d in self.dim]\n+ elif allow_allsame: # for single argument\n+ return [arg] * len(self.dim)\n+ elif len(self.dim) == 1:\n+ return [arg]\n+ else:\n+ raise ValueError(\"Mapping argument is necessary.\")\n+\n \n class DataArrayRolling(Rolling):\n __slots__ = (\"window_labels\",)\n@@ -196,33 +206,41 @@ def __init__(self, obj, windows, min_periods=None, center=False, keep_attrs=None\n obj, windows, min_periods=min_periods, center=center, keep_attrs=keep_attrs\n )\n \n- self.window_labels = self.obj[self.dim]\n+ # TODO legacy attribute\n+ self.window_labels = self.obj[self.dim[0]]\n \n def __iter__(self):\n+ if len(self.dim) > 1:\n+ raise ValueError(\"__iter__ is only supported for 1d-rolling\")\n stops = np.arange(1, len(self.window_labels) + 1)\n- starts = stops - int(self.window)\n- starts[: int(self.window)] = 0\n+ starts = stops - int(self.window[0])\n+ starts[: int(self.window[0])] = 0\n for (label, start, stop) in zip(self.window_labels, starts, stops):\n- window = self.obj.isel(**{self.dim: slice(start, stop)})\n+ window = self.obj.isel(**{self.dim[0]: slice(start, stop)})\n \n- counts = window.count(dim=self.dim)\n- window = window.where(counts >= self._min_periods)\n+ counts = window.count(dim=self.dim[0])\n+ window = window.where(counts >= self.min_periods)\n \n yield (label, window)\n \n- def construct(self, window_dim, stride=1, fill_value=dtypes.NA):\n+ def construct(\n+ self, window_dim=None, stride=1, fill_value=dtypes.NA, **window_dim_kwargs\n+ ):\n \"\"\"\n Convert this rolling object to xr.DataArray,\n where the window dimension is stacked as a new dimension\n \n Parameters\n ----------\n- window_dim: str\n- New name of the window dimension.\n- stride: integer, optional\n+ window_dim: str or a mapping, optional\n+ A mapping from dimension name to the new window dimension names.\n+ Just a string can be used for 1d-rolling.\n+ stride: integer or a mapping, optional\n Size of stride for the rolling window.\n fill_value: optional. Default dtypes.NA\n Filling value to match the dimension size.\n+ **window_dim_kwargs : {dim: new_name, ...}, optional\n+ The keyword arguments form of ``window_dim``.\n \n Returns\n -------\n@@ -251,13 +269,27 @@ def construct(self, window_dim, stride=1, fill_value=dtypes.NA):\n \n from .dataarray import DataArray\n \n+ if window_dim is None:\n+ if len(window_dim_kwargs) == 0:\n+ raise ValueError(\n+ \"Either window_dim or window_dim_kwargs need to be specified.\"\n+ )\n+ window_dim = {d: window_dim_kwargs[d] for d in self.dim}\n+\n+ window_dim = self._mapping_to_list(\n+ window_dim, allow_default=False, allow_allsame=False\n+ )\n+ stride = self._mapping_to_list(stride, default=1)\n+\n window = self.obj.variable.rolling_window(\n self.dim, self.window, window_dim, self.center, fill_value=fill_value\n )\n result = DataArray(\n- window, dims=self.obj.dims + (window_dim,), coords=self.obj.coords\n+ window, dims=self.obj.dims + tuple(window_dim), coords=self.obj.coords\n+ )\n+ return result.isel(\n+ **{d: slice(None, None, s) for d, s in zip(self.dim, stride)}\n )\n- return result.isel(**{self.dim: slice(None, None, stride)})\n \n def reduce(self, func, **kwargs):\n \"\"\"Reduce the items in this group by applying `func` along some\n@@ -300,27 +332,36 @@ def reduce(self, func, **kwargs):\n [ 4., 9., 15., 18.]])\n \n \"\"\"\n- rolling_dim = utils.get_temp_dimname(self.obj.dims, \"_rolling_dim\")\n+ rolling_dim = {\n+ d: utils.get_temp_dimname(self.obj.dims, \"_rolling_dim_{}\".format(d))\n+ for d in self.dim\n+ }\n windows = self.construct(rolling_dim)\n- result = windows.reduce(func, dim=rolling_dim, **kwargs)\n+ result = windows.reduce(func, dim=list(rolling_dim.values()), **kwargs)\n \n # Find valid windows based on count.\n counts = self._counts()\n- return result.where(counts >= self._min_periods)\n+ return result.where(counts >= self.min_periods)\n \n def _counts(self):\n \"\"\" Number of non-nan entries in each rolling window. \"\"\"\n \n- rolling_dim = utils.get_temp_dimname(self.obj.dims, \"_rolling_dim\")\n+ rolling_dim = {\n+ d: utils.get_temp_dimname(self.obj.dims, \"_rolling_dim_{}\".format(d))\n+ for d in self.dim\n+ }\n # We use False as the fill_value instead of np.nan, since boolean\n # array is faster to be reduced than object array.\n # The use of skipna==False is also faster since it does not need to\n # copy the strided array.\n counts = (\n self.obj.notnull()\n- .rolling(center=self.center, **{self.dim: self.window})\n+ .rolling(\n+ center={d: self.center[i] for i, d in enumerate(self.dim)},\n+ **{d: w for d, w in zip(self.dim, self.window)},\n+ )\n .construct(rolling_dim, fill_value=False)\n- .sum(dim=rolling_dim, skipna=False)\n+ .sum(dim=list(rolling_dim.values()), skipna=False)\n )\n return counts\n \n@@ -329,39 +370,40 @@ def _bottleneck_reduce(self, func, **kwargs):\n \n # bottleneck doesn't allow min_count to be 0, although it should\n # work the same as if min_count = 1\n+ # Note bottleneck only works with 1d-rolling.\n if self.min_periods is not None and self.min_periods == 0:\n min_count = 1\n else:\n min_count = self.min_periods\n \n- axis = self.obj.get_axis_num(self.dim)\n+ axis = self.obj.get_axis_num(self.dim[0])\n \n padded = self.obj.variable\n- if self.center:\n+ if self.center[0]:\n if isinstance(padded.data, dask_array_type):\n # Workaround to make the padded chunk size is larger than\n # self.window-1\n- shift = -(self.window + 1) // 2\n- offset = (self.window - 1) // 2\n+ shift = -(self.window[0] + 1) // 2\n+ offset = (self.window[0] - 1) // 2\n valid = (slice(None),) * axis + (\n slice(offset, offset + self.obj.shape[axis]),\n )\n else:\n- shift = (-self.window // 2) + 1\n+ shift = (-self.window[0] // 2) + 1\n valid = (slice(None),) * axis + (slice(-shift, None),)\n- padded = padded.pad({self.dim: (0, -shift)}, mode=\"constant\")\n+ padded = padded.pad({self.dim[0]: (0, -shift)}, mode=\"constant\")\n \n if isinstance(padded.data, dask_array_type):\n raise AssertionError(\"should not be reachable\")\n values = dask_rolling_wrapper(\n- func, padded.data, window=self.window, min_count=min_count, axis=axis\n+ func, padded.data, window=self.window[0], min_count=min_count, axis=axis\n )\n else:\n values = func(\n- padded.data, window=self.window, min_count=min_count, axis=axis\n+ padded.data, window=self.window[0], min_count=min_count, axis=axis\n )\n \n- if self.center:\n+ if self.center[0]:\n values = values[valid]\n result = DataArray(values, self.obj.coords)\n \n@@ -378,8 +420,10 @@ def _numpy_or_bottleneck_reduce(\n )\n del kwargs[\"dim\"]\n \n- if bottleneck_move_func is not None and not isinstance(\n- self.obj.data, dask_array_type\n+ if (\n+ bottleneck_move_func is not None\n+ and not isinstance(self.obj.data, dask_array_type)\n+ and len(self.dim) == 1\n ):\n # TODO: renable bottleneck with dask after the issues\n # underlying https://github.com/pydata/xarray/issues/2940 are\n@@ -412,7 +456,7 @@ def __init__(self, obj, windows, min_periods=None, center=False, keep_attrs=None\n Minimum number of observations in window required to have a value\n (otherwise result is NA). The default, None, is equivalent to\n setting min_periods equal to the size of the window.\n- center : boolean, default False\n+ center : boolean, or a mapping from dimension name to boolean, default False\n Set the labels at the center of the window.\n keep_attrs : bool, optional\n If True, the object's attributes (`attrs`) will be copied from\n@@ -431,15 +475,22 @@ def __init__(self, obj, windows, min_periods=None, center=False, keep_attrs=None\n DataArray.groupby\n \"\"\"\n super().__init__(obj, windows, min_periods, center, keep_attrs)\n- if self.dim not in self.obj.dims:\n+ if any(d not in self.obj.dims for d in self.dim):\n raise KeyError(self.dim)\n # Keep each Rolling object as a dictionary\n self.rollings = {}\n for key, da in self.obj.data_vars.items():\n # keeps rollings only for the dataset depending on slf.dim\n- if self.dim in da.dims:\n+ dims, center = [], {}\n+ for i, d in enumerate(self.dim):\n+ if d in da.dims:\n+ dims.append(d)\n+ center[d] = self.center[i]\n+\n+ if len(dims) > 0:\n+ w = {d: windows[d] for d in dims}\n self.rollings[key] = DataArrayRolling(\n- da, windows, min_periods, center, keep_attrs\n+ da, w, min_periods, center, keep_attrs\n )\n \n def _dataset_implementation(self, func, **kwargs):\n@@ -447,7 +498,7 @@ def _dataset_implementation(self, func, **kwargs):\n \n reduced = {}\n for key, da in self.obj.data_vars.items():\n- if self.dim in da.dims:\n+ if any(d in da.dims for d in self.dim):\n reduced[key] = func(self.rollings[key], **kwargs)\n else:\n reduced[key] = self.obj[key]\n@@ -491,19 +542,29 @@ def _numpy_or_bottleneck_reduce(\n **kwargs,\n )\n \n- def construct(self, window_dim, stride=1, fill_value=dtypes.NA, keep_attrs=None):\n+ def construct(\n+ self,\n+ window_dim=None,\n+ stride=1,\n+ fill_value=dtypes.NA,\n+ keep_attrs=None,\n+ **window_dim_kwargs,\n+ ):\n \"\"\"\n Convert this rolling object to xr.Dataset,\n where the window dimension is stacked as a new dimension\n \n Parameters\n ----------\n- window_dim: str\n- New name of the window dimension.\n+ window_dim: str or a mapping, optional\n+ A mapping from dimension name to the new window dimension names.\n+ Just a string can be used for 1d-rolling.\n stride: integer, optional\n size of stride for the rolling window.\n fill_value: optional. Default dtypes.NA\n Filling value to match the dimension size.\n+ **window_dim_kwargs : {dim: new_name, ...}, optional\n+ The keyword arguments form of ``window_dim``.\n \n Returns\n -------\n@@ -512,19 +573,35 @@ def construct(self, window_dim, stride=1, fill_value=dtypes.NA, keep_attrs=None)\n \n from .dataset import Dataset\n \n+ if window_dim is None:\n+ if len(window_dim_kwargs) == 0:\n+ raise ValueError(\n+ \"Either window_dim or window_dim_kwargs need to be specified.\"\n+ )\n+ window_dim = {d: window_dim_kwargs[d] for d in self.dim}\n+\n+ window_dim = self._mapping_to_list(\n+ window_dim, allow_default=False, allow_allsame=False\n+ )\n+ stride = self._mapping_to_list(stride, default=1)\n+\n if keep_attrs is None:\n keep_attrs = _get_keep_attrs(default=True)\n \n dataset = {}\n for key, da in self.obj.data_vars.items():\n- if self.dim in da.dims:\n+ # keeps rollings only for the dataset depending on slf.dim\n+ dims = [d for d in self.dim if d in da.dims]\n+ if len(dims) > 0:\n+ wi = {d: window_dim[i] for i, d in enumerate(self.dim) if d in da.dims}\n+ st = {d: stride[i] for i, d in enumerate(self.dim) if d in da.dims}\n dataset[key] = self.rollings[key].construct(\n- window_dim, fill_value=fill_value\n+ window_dim=wi, fill_value=fill_value, stride=st\n )\n else:\n dataset[key] = da\n return Dataset(dataset, coords=self.obj.coords).isel(\n- **{self.dim: slice(None, None, stride)}\n+ **{d: slice(None, None, s) for d, s in zip(self.dim, stride)}\n )\n \n \ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex d13de439a69..1f86a40348c 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -1883,11 +1883,14 @@ def rolling_window(\n Parameters\n ----------\n dim: str\n- Dimension over which to compute rolling_window\n+ Dimension over which to compute rolling_window.\n+ For nd-rolling, should be list of dimensions.\n window: int\n Window size of the rolling\n+ For nd-rolling, should be list of integers.\n window_dim: str\n New name of the window dimension.\n+ For nd-rolling, should be list of integers.\n center: boolean. default False.\n If True, pad fill_value for both ends. Otherwise, pad in the head\n of the axis.\n@@ -1921,15 +1924,21 @@ def rolling_window(\n dtype = self.dtype\n array = self.data\n \n- new_dims = self.dims + (window_dim,)\n+ if isinstance(dim, list):\n+ assert len(dim) == len(window)\n+ assert len(dim) == len(window_dim)\n+ assert len(dim) == len(center)\n+ else:\n+ dim = [dim]\n+ window = [window]\n+ window_dim = [window_dim]\n+ center = [center]\n+ axis = [self.get_axis_num(d) for d in dim]\n+ new_dims = self.dims + tuple(window_dim)\n return Variable(\n new_dims,\n duck_array_ops.rolling_window(\n- array,\n- axis=self.get_axis_num(dim),\n- window=window,\n- center=center,\n- fill_value=fill_value,\n+ array, axis=axis, window=window, center=center, fill_value=fill_value\n ),\n )\n \n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex e0da3f1527f..7ccf1eb14bc 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -6193,8 +6193,6 @@ def test_rolling_properties(da):\n assert rolling_obj.obj.get_axis_num(\"time\") == 1\n \n # catching invalid args\n- with pytest.raises(ValueError, match=\"exactly one dim/window should\"):\n- da.rolling(time=7, x=2)\n with pytest.raises(ValueError, match=\"window must be > 0\"):\n da.rolling(time=-2)\n with pytest.raises(ValueError, match=\"min_periods must be greater than zero\"):\n@@ -6399,6 +6397,47 @@ def test_rolling_count_correct():\n assert_equal(result, expected)\n \n \n+@pytest.mark.parametrize(\"da\", (1,), indirect=True)\n+@pytest.mark.parametrize(\"center\", (True, False))\n+@pytest.mark.parametrize(\"min_periods\", (None, 1))\n+@pytest.mark.parametrize(\"name\", (\"sum\", \"mean\", \"max\"))\n+def test_ndrolling_reduce(da, center, min_periods, name):\n+ rolling_obj = da.rolling(time=3, x=2, center=center, min_periods=min_periods)\n+\n+ actual = getattr(rolling_obj, name)()\n+ expected = getattr(\n+ getattr(\n+ da.rolling(time=3, center=center, min_periods=min_periods), name\n+ )().rolling(x=2, center=center, min_periods=min_periods),\n+ name,\n+ )()\n+\n+ assert_allclose(actual, expected)\n+ assert actual.dims == expected.dims\n+\n+\n+@pytest.mark.parametrize(\"center\", (True, False, (True, False)))\n+@pytest.mark.parametrize(\"fill_value\", (np.nan, 0.0))\n+def test_ndrolling_construct(center, fill_value):\n+ da = DataArray(\n+ np.arange(5 * 6 * 7).reshape(5, 6, 7).astype(float),\n+ dims=[\"x\", \"y\", \"z\"],\n+ coords={\"x\": [\"a\", \"b\", \"c\", \"d\", \"e\"], \"y\": np.arange(6)},\n+ )\n+ actual = da.rolling(x=3, z=2, center=center).construct(\n+ x=\"x1\", z=\"z1\", fill_value=fill_value\n+ )\n+ if not isinstance(center, tuple):\n+ center = (center, center)\n+ expected = (\n+ da.rolling(x=3, center=center[0])\n+ .construct(x=\"x1\", fill_value=fill_value)\n+ .rolling(z=2, center=center[1])\n+ .construct(z=\"z1\", fill_value=fill_value)\n+ )\n+ assert_allclose(actual, expected)\n+\n+\n def test_raise_no_warning_for_nan_in_binary_ops():\n with pytest.warns(None) as record:\n xr.DataArray([1, 2, np.NaN]) > 0\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 9037013cc79..da7621dceb8 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -5881,8 +5881,6 @@ def test_rolling_keep_attrs():\n \n def test_rolling_properties(ds):\n # catching invalid args\n- with pytest.raises(ValueError, match=\"exactly one dim/window should\"):\n- ds.rolling(time=7, x=2)\n with pytest.raises(ValueError, match=\"window must be > 0\"):\n ds.rolling(time=-2)\n with pytest.raises(ValueError, match=\"min_periods must be greater than zero\"):\n@@ -6007,6 +6005,66 @@ def test_rolling_reduce(ds, center, min_periods, window, name):\n assert src_var.dims == actual[key].dims\n \n \n+@pytest.mark.parametrize(\"ds\", (2,), indirect=True)\n+@pytest.mark.parametrize(\"center\", (True, False))\n+@pytest.mark.parametrize(\"min_periods\", (None, 1))\n+@pytest.mark.parametrize(\"name\", (\"sum\", \"max\"))\n+@pytest.mark.parametrize(\"dask\", (True, False))\n+def test_ndrolling_reduce(ds, center, min_periods, name, dask):\n+ if dask and has_dask:\n+ ds = ds.chunk({\"x\": 4})\n+\n+ rolling_obj = ds.rolling(time=4, x=3, center=center, min_periods=min_periods)\n+\n+ actual = getattr(rolling_obj, name)()\n+ expected = getattr(\n+ getattr(\n+ ds.rolling(time=4, center=center, min_periods=min_periods), name\n+ )().rolling(x=3, center=center, min_periods=min_periods),\n+ name,\n+ )()\n+ assert_allclose(actual, expected)\n+ assert actual.dims == expected.dims\n+\n+ # Do it in the opposite order\n+ expected = getattr(\n+ getattr(\n+ ds.rolling(x=3, center=center, min_periods=min_periods), name\n+ )().rolling(time=4, center=center, min_periods=min_periods),\n+ name,\n+ )()\n+\n+ assert_allclose(actual, expected)\n+ assert actual.dims == expected.dims\n+\n+\n+@pytest.mark.parametrize(\"center\", (True, False, (True, False)))\n+@pytest.mark.parametrize(\"fill_value\", (np.nan, 0.0))\n+@pytest.mark.parametrize(\"dask\", (True, False))\n+def test_ndrolling_construct(center, fill_value, dask):\n+ da = DataArray(\n+ np.arange(5 * 6 * 7).reshape(5, 6, 7).astype(float),\n+ dims=[\"x\", \"y\", \"z\"],\n+ coords={\"x\": [\"a\", \"b\", \"c\", \"d\", \"e\"], \"y\": np.arange(6)},\n+ )\n+ ds = xr.Dataset({\"da\": da})\n+ if dask and has_dask:\n+ ds = ds.chunk({\"x\": 4})\n+\n+ actual = ds.rolling(x=3, z=2, center=center).construct(\n+ x=\"x1\", z=\"z1\", fill_value=fill_value\n+ )\n+ if not isinstance(center, tuple):\n+ center = (center, center)\n+ expected = (\n+ ds.rolling(x=3, center=center[0])\n+ .construct(x=\"x1\", fill_value=fill_value)\n+ .rolling(z=2, center=center[1])\n+ .construct(z=\"z1\", fill_value=fill_value)\n+ )\n+ assert_allclose(actual, expected)\n+\n+\n def test_raise_no_warning_for_nan_in_binary_ops():\n with pytest.warns(None) as record:\n Dataset(data_vars={\"x\": (\"y\", [1, 2, np.NaN])}) > 0\ndiff --git a/xarray/tests/test_nputils.py b/xarray/tests/test_nputils.py\nindex 1002a9dd9e3..ccb825dc7e9 100644\n--- a/xarray/tests/test_nputils.py\n+++ b/xarray/tests/test_nputils.py\n@@ -1,4 +1,5 @@\n import numpy as np\n+import pytest\n from numpy.testing import assert_array_equal\n \n from xarray.core.nputils import NumpyVIndexAdapter, _is_contiguous, rolling_window\n@@ -47,3 +48,19 @@ def test_rolling():\n actual = rolling_window(x, axis=-1, window=3, center=False, fill_value=0.0)\n expected = np.stack([expected, expected * 1.1], axis=0)\n assert_array_equal(actual, expected)\n+\n+\n+@pytest.mark.parametrize(\"center\", [[True, True], [False, False]])\n+@pytest.mark.parametrize(\"axis\", [(0, 1), (1, 2), (2, 0)])\n+def test_nd_rolling(center, axis):\n+ x = np.arange(7 * 6 * 8).reshape(7, 6, 8).astype(float)\n+ window = [3, 3]\n+ actual = rolling_window(\n+ x, axis=axis, window=window, center=center, fill_value=np.nan\n+ )\n+ expected = x\n+ for ax, win, cent in zip(axis, window, center):\n+ expected = rolling_window(\n+ expected, axis=ax, window=win, center=cent, fill_value=np.nan\n+ )\n+ assert_array_equal(actual, expected)\ndiff --git a/xarray/tests/test_testing.py b/xarray/tests/test_testing.py\nindex 39ad250246b..adc29a3cc92 100644\n--- a/xarray/tests/test_testing.py\n+++ b/xarray/tests/test_testing.py\n@@ -37,7 +37,7 @@ def test_allclose_regression():\n \"obj1,obj2\",\n (\n pytest.param(\n- xr.Variable(\"x\", [1e-17, 2]), xr.Variable(\"x\", [0, 3]), id=\"Variable\",\n+ xr.Variable(\"x\", [1e-17, 2]), xr.Variable(\"x\", [0, 3]), id=\"Variable\"\n ),\n pytest.param(\n xr.DataArray([1e-17, 2], dims=\"x\"),\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/computation.rst","old_path":"a/doc/computation.rst","new_path":"b/doc/computation.rst","metadata":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 3660aed93ed..474c3905981 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -188,9 +188,16 @@ a value when aggregating:\n r = arr.rolling(y=3, center=True, min_periods=2)\n r.mean()\n \n+From version 0.17, xarray supports multidimensional rolling,\n+\n+.. ipython:: python\n+\n+ r = arr.rolling(x=2, y=3, min_periods=2)\n+ r.mean()\n+\n .. tip::\n \n- Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects.\n+ Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects with 1d-rolling.\n \n .. _bottleneck: https://github.com/pydata/bottleneck/\n \n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex c4cf931be61..9d4261da2dd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n+ now accept more than 1 dimension.(:pull:`4219`)\n+ By `Keisuke Fujii <https://github.com/fujiisoup>`_.\n - Build :py:meth:`CFTimeIndex.__repr__` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`2416`, :pull:`4092`)\n"}],"string":"[\n {\n \"path\": \"doc/computation.rst\",\n \"old_path\": \"a/doc/computation.rst\",\n \"new_path\": \"b/doc/computation.rst\",\n \"metadata\": \"diff --git a/doc/computation.rst b/doc/computation.rst\\nindex 3660aed93ed..474c3905981 100644\\n--- a/doc/computation.rst\\n+++ b/doc/computation.rst\\n@@ -188,9 +188,16 @@ a value when aggregating:\\n r = arr.rolling(y=3, center=True, min_periods=2)\\n r.mean()\\n \\n+From version 0.17, xarray supports multidimensional rolling,\\n+\\n+.. ipython:: python\\n+\\n+ r = arr.rolling(x=2, y=3, min_periods=2)\\n+ r.mean()\\n+\\n .. tip::\\n \\n- Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects.\\n+ Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects with 1d-rolling.\\n \\n .. _bottleneck: https://github.com/pydata/bottleneck/\\n \\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex c4cf931be61..9d4261da2dd 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -25,6 +25,9 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\\n+ now accept more than 1 dimension.(:pull:`4219`)\\n+ By `Keisuke Fujii <https://github.com/fujiisoup>`_.\\n - Build :py:meth:`CFTimeIndex.__repr__` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\\n :py:meth:`CFTimeIndex.__repr__` (:issue:`2416`, :pull:`4092`)\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"e04e21d6160f43bc44e999b6f54f9fe4682f9b81"},"PASS2PASS":{"kind":"list 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\"name\": \"zip\"\n },\n {\n \"type\": \"field\",\n \"name\": \"ax\"\n },\n {\n \"type\": \"field\",\n \"name\": \"zip\"\n },\n {\n \"type\": \"field\",\n \"name\": \"ax\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/computation.rst","old_path":"a/doc/computation.rst","new_path":"b/doc/computation.rst","metadata":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 3660aed93ed..474c3905981 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -188,9 +188,16 @@ a value when aggregating:\n r = arr.rolling(y=3, center=True, min_periods=2)\n r.mean()\n \n+From version 0.17, xarray supports multidimensional rolling,\n+\n+.. ipython:: python\n+\n+ r = arr.rolling(x=2, y=3, min_periods=2)\n+ r.mean()\n+\n .. tip::\n \n- Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects.\n+ Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects with 1d-rolling.\n \n .. _bottleneck: https://github.com/pydata/bottleneck/\n \n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex c4cf931be61..9d4261da2dd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n+ now accept more than 1 dimension.(:pull:`<PRID>`)\n+ By `<NAME>`_.\n - Build :py:meth:`CFTimeIndex.__repr__` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`<PRID>`, :pull:`<PRID>`)\n"}],"string":"[\n {\n \"path\": \"doc/computation.rst\",\n \"old_path\": \"a/doc/computation.rst\",\n \"new_path\": \"b/doc/computation.rst\",\n \"metadata\": \"diff --git a/doc/computation.rst b/doc/computation.rst\\nindex 3660aed93ed..474c3905981 100644\\n--- a/doc/computation.rst\\n+++ b/doc/computation.rst\\n@@ -188,9 +188,16 @@ a value when aggregating:\\n r = arr.rolling(y=3, center=True, min_periods=2)\\n r.mean()\\n \\n+From version 0.17, xarray supports multidimensional rolling,\\n+\\n+.. ipython:: python\\n+\\n+ r = arr.rolling(x=2, y=3, min_periods=2)\\n+ r.mean()\\n+\\n .. tip::\\n \\n- Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects.\\n+ Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects with 1d-rolling.\\n \\n .. _bottleneck: https://github.com/pydata/bottleneck/\\n \\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex c4cf931be61..9d4261da2dd 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -25,6 +25,9 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\\n+ now accept more than 1 dimension.(:pull:`<PRID>`)\\n+ By `<NAME>`_.\\n - Build :py:meth:`CFTimeIndex.__repr__` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\\n :py:meth:`CFTimeIndex.__repr__` (:issue:`<PRID>`, :pull:`<PRID>`)\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 3660aed93ed..474c3905981 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -188,9 +188,16 @@ a value when aggregating:\n r = arr.rolling(y=3, center=True, min_periods=2)\n r.mean()\n \n+From version 0.17, xarray supports multidimensional rolling,\n+\n+.. ipython:: python\n+\n+ r = arr.rolling(x=2, y=3, min_periods=2)\n+ r.mean()\n+\n .. tip::\n \n- Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects.\n+ Note that rolling window aggregations are faster and use less memory when bottleneck_ is installed. This only applies to numpy-backed xarray objects with 1d-rolling.\n \n .. _bottleneck: https://github.com/pydata/bottleneck/\n \n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex c4cf931be61..9d4261da2dd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`~xarray.DataArray.rolling` and :py:meth:`~xarray.Dataset.rolling`\n+ now accept more than 1 dimension.(:pull:`<PRID>`)\n+ By `<NAME>`_.\n - Build :py:meth:`CFTimeIndex.__repr__` explicitly as :py:class:`pandas.Index`. Add ``calendar`` as a new\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`<PRID>`, :pull:`<PRID>`)\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'zip'}, {'type': 'field', 'name': 'ax'}, {'type': 'field', 'name': 'zip'}, {'type': 'field', 'name': 'ax'}]\n"}}},{"rowIdx":585,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4248"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4248"},"feature_patch":{"kind":"string","value":"diff --git a/doc/internals.rst b/doc/internals.rst\nindex 46c117e312b..b158f12ac6d 100644\n--- a/doc/internals.rst\n+++ b/doc/internals.rst\n@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables\n <xarray.Dataset.variables>` and\n :py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes.\n \n+Duck arrays\n+-----------\n+\n+.. warning::\n+\n+ This is a experimental feature.\n+\n+xarray can wrap custom `duck array`_ objects as long as they define numpy's\n+``shape``, ``dtype`` and ``ndim`` properties and the ``__array__``,\n+``__array_ufunc__`` and ``__array_function__`` methods.\n+\n+In certain situations (e.g. when printing the collapsed preview of\n+variables of a ``Dataset``), xarray will display the repr of a `duck array`_\n+in a single line, truncating it to a certain number of characters. If that\n+would drop too much information, the `duck array`_ may define a\n+``_repr_inline_`` method that takes ``max_width`` (number of characters) as an\n+argument:\n+\n+.. code:: python\n+\n+ class MyDuckArray:\n+ ...\n+\n+ def _repr_inline_(self, max_width):\n+ \"\"\" format to a single line with at most max_width characters \"\"\"\n+ ...\n+\n+ ...\n+\n+.. _duck array: https://numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html\n+\n+\n Extending xarray\n ----------------\n \ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 81ef2cd9e17..573583f0de3 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -29,6 +29,10 @@ New Features\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`2416`, :pull:`4092`)\n `Aaron Spring <https://github.com/aaronspring>`_.\n+- Use a wrapped array's ``_repr_inline_`` method to construct the collapsed ``repr``\n+ of :py:class:`DataArray` and :py:class:`Dataset` objects and\n+ document the new method in :doc:`internals`. (:pull:`4248`).\n+ By `Justus Magin <https://github.com/keewis>`_.\n \n \n Bug fixes\ndiff --git a/xarray/core/formatting.py b/xarray/core/formatting.py\nindex 28eaae5f05b..9aa20f2b87e 100644\n--- a/xarray/core/formatting.py\n+++ b/xarray/core/formatting.py\n@@ -261,6 +261,8 @@ def inline_variable_array_repr(var, max_width):\n return inline_dask_repr(var.data)\n elif isinstance(var._data, sparse_array_type):\n return inline_sparse_repr(var.data)\n+ elif hasattr(var._data, \"_repr_inline_\"):\n+ return var._data._repr_inline_(max_width)\n elif hasattr(var._data, \"__array_function__\"):\n return maybe_truncate(repr(var._data).replace(\"\\n\", \" \"), max_width)\n else:\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_formatting.py b/xarray/tests/test_formatting.py\nindex 82de8080c80..1cc91266421 100644\n--- a/xarray/tests/test_formatting.py\n+++ b/xarray/tests/test_formatting.py\n@@ -7,6 +7,7 @@\n \n import xarray as xr\n from xarray.core import formatting\n+from xarray.core.npcompat import IS_NEP18_ACTIVE\n \n from . import raises_regex\n \n@@ -391,6 +392,44 @@ def test_array_repr(self):\n assert actual == expected\n \n \n+@pytest.mark.skipif(not IS_NEP18_ACTIVE, reason=\"requires __array_function__\")\n+def test_inline_variable_array_repr_custom_repr():\n+ class CustomArray:\n+ def __init__(self, value, attr):\n+ self.value = value\n+ self.attr = attr\n+\n+ def _repr_inline_(self, width):\n+ formatted = f\"({self.attr}) {self.value}\"\n+ if len(formatted) > width:\n+ formatted = f\"({self.attr}) ...\"\n+\n+ return formatted\n+\n+ def __array_function__(self, *args, **kwargs):\n+ return NotImplemented\n+\n+ @property\n+ def shape(self):\n+ return self.value.shape\n+\n+ @property\n+ def dtype(self):\n+ return self.value.dtype\n+\n+ @property\n+ def ndim(self):\n+ return self.value.ndim\n+\n+ value = CustomArray(np.array([20, 40]), \"m\")\n+ variable = xr.Variable(\"x\", value)\n+\n+ max_width = 10\n+ actual = formatting.inline_variable_array_repr(variable, max_width=10)\n+\n+ assert actual == value._repr_inline_(max_width)\n+\n+\n def test_set_numpy_options():\n original_options = np.get_printoptions()\n with formatting.set_numpy_options(threshold=10):\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/internals.rst","old_path":"a/doc/internals.rst","new_path":"b/doc/internals.rst","metadata":"diff --git a/doc/internals.rst b/doc/internals.rst\nindex 46c117e312b..b158f12ac6d 100644\n--- a/doc/internals.rst\n+++ b/doc/internals.rst\n@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables\n <xarray.Dataset.variables>` and\n :py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes.\n \n+Duck arrays\n+-----------\n+\n+.. warning::\n+\n+ This is a experimental feature.\n+\n+xarray can wrap custom `duck array`_ objects as long as they define numpy's\n+``shape``, ``dtype`` and ``ndim`` properties and the ``__array__``,\n+``__array_ufunc__`` and ``__array_function__`` methods.\n+\n+In certain situations (e.g. when printing the collapsed preview of\n+variables of a ``Dataset``), xarray will display the repr of a `duck array`_\n+in a single line, truncating it to a certain number of characters. If that\n+would drop too much information, the `duck array`_ may define a\n+``_repr_inline_`` method that takes ``max_width`` (number of characters) as an\n+argument:\n+\n+.. code:: python\n+\n+ class MyDuckArray:\n+ ...\n+\n+ def _repr_inline_(self, max_width):\n+ \"\"\" format to a single line with at most max_width characters \"\"\"\n+ ...\n+\n+ ...\n+\n+.. _duck array: https://numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html\n+\n+\n Extending xarray\n ----------------\n \n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 81ef2cd9e17..573583f0de3 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -29,6 +29,10 @@ New Features\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`2416`, :pull:`4092`)\n `Aaron Spring <https://github.com/aaronspring>`_.\n+- Use a wrapped array's ``_repr_inline_`` method to construct the collapsed ``repr``\n+ of :py:class:`DataArray` and :py:class:`Dataset` objects and\n+ document the new method in :doc:`internals`. (:pull:`4248`).\n+ By `Justus Magin <https://github.com/keewis>`_.\n \n \n Bug fixes\n"}],"string":"[\n {\n \"path\": \"doc/internals.rst\",\n \"old_path\": \"a/doc/internals.rst\",\n \"new_path\": \"b/doc/internals.rst\",\n \"metadata\": \"diff --git a/doc/internals.rst b/doc/internals.rst\\nindex 46c117e312b..b158f12ac6d 100644\\n--- a/doc/internals.rst\\n+++ b/doc/internals.rst\\n@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables\\n <xarray.Dataset.variables>` and\\n :py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes.\\n \\n+Duck arrays\\n+-----------\\n+\\n+.. warning::\\n+\\n+ This is a experimental feature.\\n+\\n+xarray can wrap custom `duck array`_ objects as long as they define numpy's\\n+``shape``, ``dtype`` and ``ndim`` properties and the ``__array__``,\\n+``__array_ufunc__`` and ``__array_function__`` methods.\\n+\\n+In certain situations (e.g. when printing the collapsed preview of\\n+variables of a ``Dataset``), xarray will display the repr of a `duck array`_\\n+in a single line, truncating it to a certain number of characters. If that\\n+would drop too much information, the `duck array`_ may define a\\n+``_repr_inline_`` method that takes ``max_width`` (number of characters) as an\\n+argument:\\n+\\n+.. code:: python\\n+\\n+ class MyDuckArray:\\n+ ...\\n+\\n+ def _repr_inline_(self, max_width):\\n+ \\\"\\\"\\\" format to a single line with at most max_width characters \\\"\\\"\\\"\\n+ ...\\n+\\n+ ...\\n+\\n+.. _duck array: https://numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html\\n+\\n+\\n Extending xarray\\n ----------------\\n \\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 81ef2cd9e17..573583f0de3 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -29,6 +29,10 @@ New Features\\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\\n :py:meth:`CFTimeIndex.__repr__` (:issue:`2416`, :pull:`4092`)\\n `Aaron Spring <https://github.com/aaronspring>`_.\\n+- Use a wrapped array's ``_repr_inline_`` method to construct the collapsed ``repr``\\n+ of :py:class:`DataArray` and :py:class:`Dataset` objects and\\n+ document the new method in :doc:`internals`. (:pull:`4248`).\\n+ By `Justus Magin <https://github.com/keewis>`_.\\n \\n \\n Bug fixes\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"98dc1f4ea18738492e074e9e51ddfed5cd30ab94"},"PASS2PASS":{"kind":"list like","value":["xarray/tests/test_formatting.py::TestFormatting::test_diff_attrs_repr_with_array","xarray/tests/test_formatting.py::TestFormatting::test_format_timestamp_out_of_bounds","xarray/tests/test_formatting.py::test_large_array_repr_length","xarray/tests/test_formatting.py::test_short_numpy_repr","xarray/tests/test_formatting.py::test_set_numpy_options","xarray/tests/test_formatting.py::TestFormatting::test_format_array_flat","xarray/tests/test_formatting.py::TestFormatting::test_array_repr","xarray/tests/test_formatting.py::TestFormatting::test_format_items","xarray/tests/test_formatting.py::TestFormatting::test_attribute_repr","xarray/tests/test_formatting.py::TestFormatting::test_first_n_items","xarray/tests/test_formatting.py::TestFormatting::test_format_item","xarray/tests/test_formatting.py::TestFormatting::test_get_indexer_at_least_n_items","xarray/tests/test_formatting.py::TestFormatting::test_diff_dataset_repr","xarray/tests/test_formatting.py::TestFormatting::test_last_n_items","xarray/tests/test_formatting.py::TestFormatting::test_diff_array_repr","xarray/tests/test_formatting.py::TestFormatting::test_pretty_print","xarray/tests/test_formatting.py::TestFormatting::test_maybe_truncate","xarray/tests/test_formatting.py::TestFormatting::test_last_item"],"string":"[\n \"xarray/tests/test_formatting.py::TestFormatting::test_diff_attrs_repr_with_array\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_timestamp_out_of_bounds\",\n \"xarray/tests/test_formatting.py::test_large_array_repr_length\",\n \"xarray/tests/test_formatting.py::test_short_numpy_repr\",\n \"xarray/tests/test_formatting.py::test_set_numpy_options\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_array_flat\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_array_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_items\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_attribute_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_first_n_items\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_format_item\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_get_indexer_at_least_n_items\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_diff_dataset_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_last_n_items\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_diff_array_repr\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_pretty_print\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_maybe_truncate\",\n \"xarray/tests/test_formatting.py::TestFormatting::test_last_item\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_formatting.py::test_inline_variable_array_repr_custom_repr"],"string":"[\n \"xarray/tests/test_formatting.py::test_inline_variable_array_repr_custom_repr\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/internals.rst","old_path":"a/doc/internals.rst","new_path":"b/doc/internals.rst","metadata":"diff --git a/doc/internals.rst b/doc/internals.rst\nindex 46c117e312b..b158f12ac6d 100644\n--- a/doc/internals.rst\n+++ b/doc/internals.rst\n@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables\n <xarray.Dataset.variables>` and\n :py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes.\n \n+Duck arrays\n+-----------\n+\n+.. warning::\n+\n+ This is a experimental feature.\n+\n+xarray can wrap custom `duck array`_ objects as long as they define numpy's\n+``shape``, ``dtype`` and ``ndim`` properties and the ``__array__``,\n+``__array_ufunc__`` and ``__array_function__`` methods.\n+\n+In certain situations (e.g. when printing the collapsed preview of\n+variables of a ``Dataset``), xarray will display the repr of a `duck array`_\n+in a single line, truncating it to a certain number of characters. If that\n+would drop too much information, the `duck array`_ may define a\n+``_repr_inline_`` method that takes ``max_width`` (number of characters) as an\n+argument:\n+\n+.. code:: python\n+\n+ class MyDuckArray:\n+ ...\n+\n+ def _repr_inline_(self, max_width):\n+ \"\"\" format to a single line with at most max_width characters \"\"\"\n+ ...\n+\n+ ...\n+\n+.. _duck array: https://numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html\n+\n+\n Extending xarray\n ----------------\n \n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 81ef2cd9e17..573583f0de3 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -29,6 +29,10 @@ New Features\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`<PRID>`, :pull:`<PRID>`)\n <NAME>_.\n+- Use a wrapped array's ``_repr_inline_`` method to construct the collapsed ``repr``\n+ of :py:class:`DataArray` and :py:class:`Dataset` objects and\n+ document the new method in :doc:`internals`. (:pull:`<PRID>`).\n+ By `<NAME>`_.\n \n \n Bug fixes\n"}],"string":"[\n {\n \"path\": \"doc/internals.rst\",\n \"old_path\": \"a/doc/internals.rst\",\n \"new_path\": \"b/doc/internals.rst\",\n \"metadata\": \"diff --git a/doc/internals.rst b/doc/internals.rst\\nindex 46c117e312b..b158f12ac6d 100644\\n--- a/doc/internals.rst\\n+++ b/doc/internals.rst\\n@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables\\n <xarray.Dataset.variables>` and\\n :py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes.\\n \\n+Duck arrays\\n+-----------\\n+\\n+.. warning::\\n+\\n+ This is a experimental feature.\\n+\\n+xarray can wrap custom `duck array`_ objects as long as they define numpy's\\n+``shape``, ``dtype`` and ``ndim`` properties and the ``__array__``,\\n+``__array_ufunc__`` and ``__array_function__`` methods.\\n+\\n+In certain situations (e.g. when printing the collapsed preview of\\n+variables of a ``Dataset``), xarray will display the repr of a `duck array`_\\n+in a single line, truncating it to a certain number of characters. If that\\n+would drop too much information, the `duck array`_ may define a\\n+``_repr_inline_`` method that takes ``max_width`` (number of characters) as an\\n+argument:\\n+\\n+.. code:: python\\n+\\n+ class MyDuckArray:\\n+ ...\\n+\\n+ def _repr_inline_(self, max_width):\\n+ \\\"\\\"\\\" format to a single line with at most max_width characters \\\"\\\"\\\"\\n+ ...\\n+\\n+ ...\\n+\\n+.. _duck array: https://numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html\\n+\\n+\\n Extending xarray\\n ----------------\\n \\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 81ef2cd9e17..573583f0de3 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -29,6 +29,10 @@ New Features\\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\\n :py:meth:`CFTimeIndex.__repr__` (:issue:`<PRID>`, :pull:`<PRID>`)\\n <NAME>_.\\n+- Use a wrapped array's ``_repr_inline_`` method to construct the collapsed ``repr``\\n+ of :py:class:`DataArray` and :py:class:`Dataset` objects and\\n+ document the new method in :doc:`internals`. (:pull:`<PRID>`).\\n+ By `<NAME>`_.\\n \\n \\n Bug fixes\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/internals.rst b/doc/internals.rst\nindex 46c117e312b..b158f12ac6d 100644\n--- a/doc/internals.rst\n+++ b/doc/internals.rst\n@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables\n <xarray.Dataset.variables>` and\n :py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes.\n \n+Duck arrays\n+-----------\n+\n+.. warning::\n+\n+ This is a experimental feature.\n+\n+xarray can wrap custom `duck array`_ objects as long as they define numpy's\n+``shape``, ``dtype`` and ``ndim`` properties and the ``__array__``,\n+``__array_ufunc__`` and ``__array_function__`` methods.\n+\n+In certain situations (e.g. when printing the collapsed preview of\n+variables of a ``Dataset``), xarray will display the repr of a `duck array`_\n+in a single line, truncating it to a certain number of characters. If that\n+would drop too much information, the `duck array`_ may define a\n+``_repr_inline_`` method that takes ``max_width`` (number of characters) as an\n+argument:\n+\n+.. code:: python\n+\n+ class MyDuckArray:\n+ ...\n+\n+ def _repr_inline_(self, max_width):\n+ \"\"\" format to a single line with at most max_width characters \"\"\"\n+ ...\n+\n+ ...\n+\n+.. _duck array: https://numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html\n+\n+\n Extending xarray\n ----------------\n \n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 81ef2cd9e17..573583f0de3 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -29,6 +29,10 @@ New Features\n property for :py:class:`CFTimeIndex` and show ``calendar`` and ``length`` in\n :py:meth:`CFTimeIndex.__repr__` (:issue:`<PRID>`, :pull:`<PRID>`)\n <NAME>_.\n+- Use a wrapped array's ``_repr_inline_`` method to construct the collapsed ``repr``\n+ of :py:class:`DataArray` and :py:class:`Dataset` objects and\n+ document the new method in :doc:`internals`. (:pull:`<PRID>`).\n+ By `<NAME>`_.\n \n \n Bug fixes\n\n"}}},{"rowIdx":586,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-4195"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/4195"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5ee67efb1da..a0e5090d38a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,8 @@ New Features\n - :py:func:`open_dataset` and :py:func:`open_mfdataset`\n now works with ``engine=\"zarr\"`` (:issue:`3668`, :pull:`4003`, :pull:`4187`).\n By `Miguel Jimenez <https://github.com/Mikejmnez>`_ and `Wei Ji Leong <https://github.com/weiji14>`_.\n+- Unary & binary operations follow the ``keep_attrs`` flag (:issue:`3490`, :issue:`4065`, :issue:`3433`, :issue:`3595`, :pull:`4195`).\n+ By `Deepak Cherian <https://github.com/dcherian>`_.\n \n Bug fixes\n ~~~~~~~~~\ndiff --git a/xarray/core/arithmetic.py b/xarray/core/arithmetic.py\nindex 571dfbe70ed..8eba0fe7919 100644\n--- a/xarray/core/arithmetic.py\n+++ b/xarray/core/arithmetic.py\n@@ -3,7 +3,7 @@\n \n import numpy as np\n \n-from .options import OPTIONS\n+from .options import OPTIONS, _get_keep_attrs\n from .pycompat import dask_array_type\n from .utils import not_implemented\n \n@@ -77,6 +77,7 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):\n dataset_fill_value=np.nan,\n kwargs=kwargs,\n dask=\"allowed\",\n+ keep_attrs=_get_keep_attrs(default=True),\n )\n \n # this has no runtime function - these are listed so IDEs know these\ndiff --git a/xarray/core/computation.py b/xarray/core/computation.py\nindex 47d78d93ce4..7b62c2c705f 100644\n--- a/xarray/core/computation.py\n+++ b/xarray/core/computation.py\n@@ -42,6 +42,14 @@\n _JOINS_WITHOUT_FILL_VALUES = frozenset({\"inner\", \"exact\"})\n \n \n+def _first_of_type(args, kind):\n+ \"\"\" Return either first object of type 'kind' or raise if not found. \"\"\"\n+ for arg in args:\n+ if isinstance(arg, kind):\n+ return arg\n+ raise ValueError(\"This should be unreachable.\")\n+\n+\n class _UFuncSignature:\n \"\"\"Core dimensions signature for a given function.\n \n@@ -252,8 +260,9 @@ def apply_dataarray_vfunc(\n args, join=join, copy=False, exclude=exclude_dims, raise_on_invalid=False\n )\n \n- if keep_attrs and hasattr(args[0], \"name\"):\n- name = args[0].name\n+ if keep_attrs:\n+ first_obj = _first_of_type(args, DataArray)\n+ name = first_obj.name\n else:\n name = result_name(args)\n result_coords = build_output_coords(args, signature, exclude_dims)\n@@ -270,6 +279,14 @@ def apply_dataarray_vfunc(\n (coords,) = result_coords\n out = DataArray(result_var, coords, name=name, fastpath=True)\n \n+ if keep_attrs:\n+ if isinstance(out, tuple):\n+ for da in out:\n+ # This is adding attrs in place\n+ da._copy_attrs_from(first_obj)\n+ else:\n+ out._copy_attrs_from(first_obj)\n+\n return out\n \n \n@@ -390,8 +407,6 @@ def apply_dataset_vfunc(\n \"\"\"\n from .dataset import Dataset\n \n- first_obj = args[0] # we'll copy attrs from this in case keep_attrs=True\n-\n if dataset_join not in _JOINS_WITHOUT_FILL_VALUES and fill_value is _NO_FILL_VALUE:\n raise TypeError(\n \"to apply an operation to datasets with different \"\n@@ -399,6 +414,9 @@ def apply_dataset_vfunc(\n \"dataset_fill_value argument.\"\n )\n \n+ if keep_attrs:\n+ first_obj = _first_of_type(args, Dataset)\n+\n if len(args) > 1:\n args = deep_align(\n args, join=join, copy=False, exclude=exclude_dims, raise_on_invalid=False\n@@ -417,9 +435,11 @@ def apply_dataset_vfunc(\n (coord_vars,) = list_of_coords\n out = _fast_dataset(result_vars, coord_vars)\n \n- if keep_attrs and isinstance(first_obj, Dataset):\n+ if keep_attrs:\n if isinstance(out, tuple):\n- out = tuple(ds._copy_attrs_from(first_obj) for ds in out)\n+ for ds in out:\n+ # This is adding attrs in place\n+ ds._copy_attrs_from(first_obj)\n else:\n out._copy_attrs_from(first_obj)\n return out\n@@ -595,6 +615,8 @@ def apply_variable_ufunc(\n \"\"\"Apply a ndarray level function over Variable and/or ndarray objects.\"\"\"\n from .variable import Variable, as_compatible_data\n \n+ first_obj = _first_of_type(args, Variable)\n+\n dim_sizes = unified_dim_sizes(\n (a for a in args if hasattr(a, \"dims\")), exclude_dims=exclude_dims\n )\n@@ -734,8 +756,8 @@ def func(*arrays):\n )\n )\n \n- if keep_attrs and isinstance(args[0], Variable):\n- var.attrs.update(args[0].attrs)\n+ if keep_attrs:\n+ var.attrs.update(first_obj.attrs)\n output.append(var)\n \n if signature.num_outputs == 1:\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 94b7f702920..1577f63cbd1 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -55,7 +55,7 @@\n from .indexes import Indexes, default_indexes, propagate_indexes\n from .indexing import is_fancy_indexer\n from .merge import PANDAS_TYPES, MergeError, _extract_indexes_from_coords\n-from .options import OPTIONS\n+from .options import OPTIONS, _get_keep_attrs\n from .utils import Default, ReprObject, _check_inplace, _default, either_dict_or_kwargs\n from .variable import (\n IndexVariable,\n@@ -2734,13 +2734,19 @@ def __rmatmul__(self, other):\n def _unary_op(f: Callable[..., Any]) -> Callable[..., \"DataArray\"]:\n @functools.wraps(f)\n def func(self, *args, **kwargs):\n+ keep_attrs = kwargs.pop(\"keep_attrs\", None)\n+ if keep_attrs is None:\n+ keep_attrs = _get_keep_attrs(default=True)\n with warnings.catch_warnings():\n warnings.filterwarnings(\"ignore\", r\"All-NaN (slice|axis) encountered\")\n warnings.filterwarnings(\n \"ignore\", r\"Mean of empty slice\", category=RuntimeWarning\n )\n with np.errstate(all=\"ignore\"):\n- return self.__array_wrap__(f(self.variable.data, *args, **kwargs))\n+ da = self.__array_wrap__(f(self.variable.data, *args, **kwargs))\n+ if keep_attrs:\n+ da.attrs = self.attrs\n+ return da\n \n return func\n \ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 1777ee356af..a23465b3141 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -4394,12 +4394,15 @@ def map(\n foo (dim_0, dim_1) float64 1.764 0.4002 0.9787 2.241 1.868 0.9773\n bar (x) float64 1.0 2.0\n \"\"\"\n+ if keep_attrs is None:\n+ keep_attrs = _get_keep_attrs(default=False)\n variables = {\n k: maybe_wrap_array(v, func(v, *args, **kwargs))\n for k, v in self.data_vars.items()\n }\n- if keep_attrs is None:\n- keep_attrs = _get_keep_attrs(default=False)\n+ if keep_attrs:\n+ for k, v in variables.items():\n+ v._copy_attrs_from(self.data_vars[k])\n attrs = self.attrs if keep_attrs else None\n return type(self)(variables, attrs=attrs)\n \n@@ -4930,15 +4933,20 @@ def from_dict(cls, d):\n return obj\n \n @staticmethod\n- def _unary_op(f, keep_attrs=False):\n+ def _unary_op(f):\n @functools.wraps(f)\n def func(self, *args, **kwargs):\n variables = {}\n+ keep_attrs = kwargs.pop(\"keep_attrs\", None)\n+ if keep_attrs is None:\n+ keep_attrs = _get_keep_attrs(default=True)\n for k, v in self._variables.items():\n if k in self._coord_names:\n variables[k] = v\n else:\n variables[k] = f(v, *args, **kwargs)\n+ if keep_attrs:\n+ variables[k].attrs = v._attrs\n attrs = self._attrs if keep_attrs else None\n return self._replace_with_new_dims(variables, attrs=attrs)\n \n@@ -5677,11 +5685,11 @@ def _integrate_one(self, coord, datetime_unit=None):\n \n @property\n def real(self):\n- return self._unary_op(lambda x: x.real, keep_attrs=True)(self)\n+ return self.map(lambda x: x.real, keep_attrs=True)\n \n @property\n def imag(self):\n- return self._unary_op(lambda x: x.imag, keep_attrs=True)(self)\n+ return self.map(lambda x: x.imag, keep_attrs=True)\n \n plot = utils.UncachedAccessor(_Dataset_PlotMethods)\n \ndiff --git a/xarray/core/options.py b/xarray/core/options.py\nindex 5a78aa10b90..a14473c9b97 100644\n--- a/xarray/core/options.py\n+++ b/xarray/core/options.py\n@@ -71,7 +71,7 @@ def _get_keep_attrs(default):\n return global_choice\n else:\n raise ValueError(\n- \"The global option keep_attrs must be one of\" \" True, False or 'default'.\"\n+ \"The global option keep_attrs must be one of True, False or 'default'.\"\n )\n \n \ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex c55e61cb816..97d299c1db8 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -2111,8 +2111,14 @@ def __array_wrap__(self, obj, context=None):\n def _unary_op(f):\n @functools.wraps(f)\n def func(self, *args, **kwargs):\n+ keep_attrs = kwargs.pop(\"keep_attrs\", None)\n+ if keep_attrs is None:\n+ keep_attrs = _get_keep_attrs(default=True)\n with np.errstate(all=\"ignore\"):\n- return self.__array_wrap__(f(self.data, *args, **kwargs))\n+ result = self.__array_wrap__(f(self.data, *args, **kwargs))\n+ if keep_attrs:\n+ result.attrs = self.attrs\n+ return result\n \n return func\n \n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex 5e0fe13ea52..ba424170349 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -9,7 +9,15 @@\n import pytest\n \n import xarray as xr\n-from xarray import DataArray, Dataset, IndexVariable, Variable, align, broadcast\n+from xarray import (\n+ DataArray,\n+ Dataset,\n+ IndexVariable,\n+ Variable,\n+ align,\n+ broadcast,\n+ set_options,\n+)\n from xarray.coding.times import CFDatetimeCoder\n from xarray.convert import from_cdms2\n from xarray.core import dtypes\n@@ -2486,6 +2494,21 @@ def test_assign_attrs(self):\n assert_identical(new_actual, expected)\n assert actual.attrs == {\"a\": 1, \"b\": 2}\n \n+ @pytest.mark.parametrize(\n+ \"func\", [lambda x: x.clip(0, 1), lambda x: np.float64(1.0) * x, np.abs, abs]\n+ )\n+ def test_propagate_attrs(self, func):\n+ da = DataArray(self.va)\n+\n+ # test defaults\n+ assert func(da).attrs == da.attrs\n+\n+ with set_options(keep_attrs=False):\n+ assert func(da).attrs == {}\n+\n+ with set_options(keep_attrs=True):\n+ assert func(da).attrs == da.attrs\n+\n def test_fillna(self):\n a = DataArray([np.nan, 1, np.nan, 3], coords={\"x\": range(4)}, dims=\"x\")\n actual = a.fillna(-1)\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 40e2bdfc6de..f16ce21087d 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -4473,6 +4473,28 @@ def test_fillna(self):\n assert actual.a.name == \"a\"\n assert actual.a.attrs == ds.a.attrs\n \n+ @pytest.mark.parametrize(\n+ \"func\", [lambda x: x.clip(0, 1), lambda x: np.float64(1.0) * x, np.abs, abs]\n+ )\n+ def test_propagate_attrs(self, func):\n+\n+ da = DataArray(range(5), name=\"a\", attrs={\"attr\": \"da\"})\n+ ds = Dataset({\"a\": da}, attrs={\"attr\": \"ds\"})\n+\n+ # test defaults\n+ assert func(ds).attrs == ds.attrs\n+ with set_options(keep_attrs=False):\n+ assert func(ds).attrs != ds.attrs\n+ assert func(ds).a.attrs != ds.a.attrs\n+\n+ with set_options(keep_attrs=False):\n+ assert func(ds).attrs != ds.attrs\n+ assert func(ds).a.attrs != ds.a.attrs\n+\n+ with set_options(keep_attrs=True):\n+ assert func(ds).attrs == ds.attrs\n+ assert func(ds).a.attrs == ds.a.attrs\n+\n def test_where(self):\n ds = Dataset({\"a\": (\"x\", range(5))})\n expected = Dataset({\"a\": (\"x\", [np.nan, np.nan, 2, 3, 4])})\ndiff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py\nindex efebe09e2ec..ac821ff111d 100644\n--- a/xarray/tests/test_variable.py\n+++ b/xarray/tests/test_variable.py\n@@ -329,7 +329,8 @@ def test_1d_math(self):\n assert_array_equal(y - v, 1 - v)\n # verify attributes are dropped\n v2 = self.cls([\"x\"], x, {\"units\": \"meters\"})\n- assert_identical(base_v, +v2)\n+ with set_options(keep_attrs=False):\n+ assert_identical(base_v, +v2)\n # binary ops with all variables\n assert_array_equal(v + v, 2 * v)\n w = self.cls([\"x\"], y, {\"foo\": \"bar\"})\ndiff --git a/xarray/tests/test_weighted.py b/xarray/tests/test_weighted.py\nindex 2f582b89bf2..48fad296664 100644\n--- a/xarray/tests/test_weighted.py\n+++ b/xarray/tests/test_weighted.py\n@@ -320,7 +320,6 @@ def test_weighted_operations_keep_attr(operation, as_dataset, keep_attrs):\n assert not result.attrs\n \n \n-@pytest.mark.xfail(reason=\"xr.Dataset.map does not copy attrs of DataArrays GH: 3595\")\n @pytest.mark.parametrize(\"operation\", (\"sum\", \"mean\"))\n def test_weighted_operations_keep_attr_da_in_ds(operation):\n # GH #3595\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5ee67efb1da..a0e5090d38a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,8 @@ New Features\n - :py:func:`open_dataset` and :py:func:`open_mfdataset`\n now works with ``engine=\"zarr\"`` (:issue:`3668`, :pull:`4003`, :pull:`4187`).\n By `Miguel Jimenez <https://github.com/Mikejmnez>`_ and `Wei Ji Leong <https://github.com/weiji14>`_.\n+- Unary & binary operations follow the ``keep_attrs`` flag (:issue:`3490`, :issue:`4065`, :issue:`3433`, :issue:`3595`, :pull:`4195`).\n+ By `Deepak Cherian <https://github.com/dcherian>`_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 5ee67efb1da..a0e5090d38a 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -30,6 +30,8 @@ New Features\\n - :py:func:`open_dataset` and :py:func:`open_mfdataset`\\n now works with ``engine=\\\"zarr\\\"`` (:issue:`3668`, :pull:`4003`, :pull:`4187`).\\n By `Miguel Jimenez <https://github.com/Mikejmnez>`_ and `Wei Ji Leong <https://github.com/weiji14>`_.\\n+- Unary & binary operations follow the ``keep_attrs`` flag (:issue:`3490`, :issue:`4065`, :issue:`3433`, :issue:`3595`, :pull:`4195`).\\n+ By `Deepak Cherian <https://github.com/dcherian>`_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"57ae5a482e2e64f0fae30038c35e14a127d52a27"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[False-True-True-mean-shape_weights2-shape_data1-dim_0]\",\n \"xarray/tests/test_weighted.py::test_weighted_mean_equal_weights[1-False-da1]\",\n \"xarray/tests/test_dataset.py::test_dataset_constructor_aligns_to_explicit_coords[coords1-unaligned_coords8]\",\n \"xarray/tests/test_variable.py::TestVariable::test_pad[xr_arg3-np_arg3-maximum]\",\n \"xarray/tests/test_weighted.py::test_weighted_operations_3D[True-True-True-mean-b]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[std-2-None-True-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-True-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-1-True-2]\",\n \"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[False-True-True-sum-shape_weights1-shape_data0-dim_0]\",\n \"xarray/tests/test_dataset.py::test_coarsen[1-pad-right-False]\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-1-True-mean]\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-1-None-sum]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-2-None-False-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[median-4-3-True-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_quantile_skipna[True]\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-None-True-std]\",\n \"xarray/tests/test_weighted.py::test_weighted_sum_of_weights_nan[weights1-nan]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[min-1-None-True-1]\",\n \"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[True-False-True-sum-shape_weights1-shape_data1-dim_0]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_weighted.py::test_weighted_operations_keep_attr_da_in_ds[sum]","xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[absolute]","xarray/tests/test_weighted.py::test_weighted_operations_keep_attr_da_in_ds[mean]","xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[<lambda>0]","xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[abs]","xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[<lambda>1]"],"string":"[\n \"xarray/tests/test_weighted.py::test_weighted_operations_keep_attr_da_in_ds[sum]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[absolute]\",\n \"xarray/tests/test_weighted.py::test_weighted_operations_keep_attr_da_in_ds[mean]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[<lambda>0]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[abs]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[<lambda>1]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5ee67efb1da..a0e5090d38a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,8 @@ New Features\n - :py:func:`open_dataset` and :py:func:`open_mfdataset`\n now works with ``engine=\"zarr\"`` (:issue:`<PRID>`, :pull:`<PRID>`, :pull:`<PRID>`).\n By `<NAME>`_ and <NAME>_.\n+- Unary & binary operations follow the ``keep_attrs`` flag (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 5ee67efb1da..a0e5090d38a 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -30,6 +30,8 @@ New Features\\n - :py:func:`open_dataset` and :py:func:`open_mfdataset`\\n now works with ``engine=\\\"zarr\\\"`` (:issue:`<PRID>`, :pull:`<PRID>`, :pull:`<PRID>`).\\n By `<NAME>`_ and <NAME>_.\\n+- Unary & binary operations follow the ``keep_attrs`` flag (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :pull:`<PRID>`).\\n+ By `<NAME>`_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5ee67efb1da..a0e5090d38a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,8 @@ New Features\n - :py:func:`open_dataset` and :py:func:`open_mfdataset`\n now works with ``engine=\"zarr\"`` (:issue:`<PRID>`, :pull:`<PRID>`, :pull:`<PRID>`).\n By `<NAME>`_ and <NAME>_.\n+- Unary & binary operations follow the ``keep_attrs`` flag (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_.\n \n Bug fixes\n ~~~~~~~~~\n\n"}}},{"rowIdx":587,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3877"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3877"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 10f6b23ca66..c082bcaa263 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,10 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n+ :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n+ combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\n+ By `John Omotani <https://github.com/johnomotani>`_\n \n \n Bug fixes\ndiff --git a/xarray/core/combine.py b/xarray/core/combine.py\nindex 1fa2df00352..1f990457798 100644\n--- a/xarray/core/combine.py\n+++ b/xarray/core/combine.py\n@@ -155,6 +155,7 @@ def _combine_nd(\n compat=\"no_conflicts\",\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"drop\",\n ):\n \"\"\"\n Combines an N-dimensional structure of datasets into one by applying a\n@@ -202,13 +203,21 @@ def _combine_nd(\n compat=compat,\n fill_value=fill_value,\n join=join,\n+ combine_attrs=combine_attrs,\n )\n (combined_ds,) = combined_ids.values()\n return combined_ds\n \n \n def _combine_all_along_first_dim(\n- combined_ids, dim, data_vars, coords, compat, fill_value=dtypes.NA, join=\"outer\"\n+ combined_ids,\n+ dim,\n+ data_vars,\n+ coords,\n+ compat,\n+ fill_value=dtypes.NA,\n+ join=\"outer\",\n+ combine_attrs=\"drop\",\n ):\n \n # Group into lines of datasets which must be combined along dim\n@@ -223,7 +232,7 @@ def _combine_all_along_first_dim(\n combined_ids = dict(sorted(group))\n datasets = combined_ids.values()\n new_combined_ids[new_id] = _combine_1d(\n- datasets, dim, compat, data_vars, coords, fill_value, join\n+ datasets, dim, compat, data_vars, coords, fill_value, join, combine_attrs\n )\n return new_combined_ids\n \n@@ -236,6 +245,7 @@ def _combine_1d(\n coords=\"different\",\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"drop\",\n ):\n \"\"\"\n Applies either concat or merge to 1D list of datasets depending on value\n@@ -252,6 +262,7 @@ def _combine_1d(\n compat=compat,\n fill_value=fill_value,\n join=join,\n+ combine_attrs=combine_attrs,\n )\n except ValueError as err:\n if \"encountered unexpected variable\" in str(err):\n@@ -265,7 +276,13 @@ def _combine_1d(\n else:\n raise\n else:\n- combined = merge(datasets, compat=compat, fill_value=fill_value, join=join)\n+ combined = merge(\n+ datasets,\n+ compat=compat,\n+ fill_value=fill_value,\n+ join=join,\n+ combine_attrs=combine_attrs,\n+ )\n \n return combined\n \n@@ -284,6 +301,7 @@ def _nested_combine(\n ids,\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"drop\",\n ):\n \n if len(datasets) == 0:\n@@ -311,6 +329,7 @@ def _nested_combine(\n coords=coords,\n fill_value=fill_value,\n join=join,\n+ combine_attrs=combine_attrs,\n )\n return combined\n \n@@ -323,6 +342,7 @@ def combine_nested(\n coords=\"different\",\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"drop\",\n ):\n \"\"\"\n Explicitly combine an N-dimensional grid of datasets into one by using a\n@@ -390,6 +410,16 @@ def combine_nested(\n - 'override': if indexes are of same size, rewrite indexes to be\n those of the first object with that dimension. Indexes for the same\n dimension must have the same size in all objects.\n+ combine_attrs : {'drop', 'identical', 'no_conflicts', 'override'},\n+ default 'drop'\n+ String indicating how to combine attrs of the objects being merged:\n+\n+ - 'drop': empty attrs on returned Dataset.\n+ - 'identical': all attrs must be the same on every object.\n+ - 'no_conflicts': attrs from all objects are combined, any that have\n+ the same name must also have the same value.\n+ - 'override': skip comparing and copy attrs from the first dataset to\n+ the result.\n \n Returns\n -------\n@@ -468,6 +498,7 @@ def combine_nested(\n ids=False,\n fill_value=fill_value,\n join=join,\n+ combine_attrs=combine_attrs,\n )\n \n \n@@ -482,6 +513,7 @@ def combine_by_coords(\n coords=\"different\",\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"no_conflicts\",\n ):\n \"\"\"\n Attempt to auto-magically combine the given datasets into one by using\n@@ -557,6 +589,16 @@ def combine_by_coords(\n - 'override': if indexes are of same size, rewrite indexes to be\n those of the first object with that dimension. Indexes for the same\n dimension must have the same size in all objects.\n+ combine_attrs : {'drop', 'identical', 'no_conflicts', 'override'},\n+ default 'drop'\n+ String indicating how to combine attrs of the objects being merged:\n+\n+ - 'drop': empty attrs on returned Dataset.\n+ - 'identical': all attrs must be the same on every object.\n+ - 'no_conflicts': attrs from all objects are combined, any that have\n+ the same name must also have the same value.\n+ - 'override': skip comparing and copy attrs from the first dataset to\n+ the result.\n \n Returns\n -------\n@@ -700,6 +742,7 @@ def combine_by_coords(\n compat=compat,\n fill_value=fill_value,\n join=join,\n+ combine_attrs=combine_attrs,\n )\n \n # Check the overall coordinates are monotonically increasing\n@@ -717,6 +760,7 @@ def combine_by_coords(\n compat=compat,\n fill_value=fill_value,\n join=join,\n+ combine_attrs=combine_attrs,\n )\n \n \ndiff --git a/xarray/core/concat.py b/xarray/core/concat.py\nindex 96b4be15d1b..7741cbb826b 100644\n--- a/xarray/core/concat.py\n+++ b/xarray/core/concat.py\n@@ -3,7 +3,7 @@\n from . import dtypes, utils\n from .alignment import align\n from .duck_array_ops import lazy_array_equiv\n-from .merge import _VALID_COMPAT, unique_variable\n+from .merge import _VALID_COMPAT, merge_attrs, unique_variable\n from .variable import IndexVariable, Variable, as_variable\n from .variable import concat as concat_vars\n \n@@ -17,6 +17,7 @@ def concat(\n positions=None,\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"override\",\n ):\n \"\"\"Concatenate xarray objects along a new or existing dimension.\n \n@@ -92,15 +93,21 @@ def concat(\n - 'override': if indexes are of same size, rewrite indexes to be\n those of the first object with that dimension. Indexes for the same\n dimension must have the same size in all objects.\n+ combine_attrs : {'drop', 'identical', 'no_conflicts', 'override'},\n+ default 'override\n+ String indicating how to combine attrs of the objects being merged:\n+\n+ - 'drop': empty attrs on returned Dataset.\n+ - 'identical': all attrs must be the same on every object.\n+ - 'no_conflicts': attrs from all objects are combined, any that have\n+ the same name must also have the same value.\n+ - 'override': skip comparing and copy attrs from the first dataset to\n+ the result.\n \n Returns\n -------\n concatenated : type of objs\n \n- Notes\n- -----\n- Each concatenated Variable preserves corresponding ``attrs`` from the first element of ``objs``.\n-\n See also\n --------\n merge\n@@ -132,7 +139,9 @@ def concat(\n \"can only concatenate xarray Dataset and DataArray \"\n \"objects, got %s\" % type(first_obj)\n )\n- return f(objs, dim, data_vars, coords, compat, positions, fill_value, join)\n+ return f(\n+ objs, dim, data_vars, coords, compat, positions, fill_value, join, combine_attrs\n+ )\n \n \n def _calc_concat_dim_coord(dim):\n@@ -306,6 +315,7 @@ def _dataset_concat(\n positions,\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"override\",\n ):\n \"\"\"\n Concatenate a sequence of datasets along a new or existing dimension\n@@ -362,7 +372,7 @@ def _dataset_concat(\n result_vars.update(dim_coords)\n \n # assign attrs and encoding from first dataset\n- result_attrs = datasets[0].attrs\n+ result_attrs = merge_attrs([ds.attrs for ds in datasets], combine_attrs)\n result_encoding = datasets[0].encoding\n \n # check that global attributes are fixed across all datasets if necessary\n@@ -425,6 +435,7 @@ def _dataarray_concat(\n positions,\n fill_value=dtypes.NA,\n join=\"outer\",\n+ combine_attrs=\"override\",\n ):\n arrays = list(arrays)\n \n@@ -453,5 +464,12 @@ def _dataarray_concat(\n positions,\n fill_value=fill_value,\n join=join,\n+ combine_attrs=\"drop\",\n )\n- return arrays[0]._from_temp_dataset(ds, name)\n+\n+ merged_attrs = merge_attrs([da.attrs for da in arrays], combine_attrs)\n+\n+ result = arrays[0]._from_temp_dataset(ds, name)\n+ result.attrs = merged_attrs\n+\n+ return result\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 324e7ccd290..232fb86144e 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -475,7 +475,13 @@ def _to_dataset_whole(\n dataset = Dataset._construct_direct(variables, coord_names, indexes=indexes)\n return dataset\n \n- def to_dataset(self, dim: Hashable = None, *, name: Hashable = None) -> Dataset:\n+ def to_dataset(\n+ self,\n+ dim: Hashable = None,\n+ *,\n+ name: Hashable = None,\n+ promote_attrs: bool = False,\n+ ) -> Dataset:\n \"\"\"Convert a DataArray to a Dataset.\n \n Parameters\n@@ -487,6 +493,8 @@ def to_dataset(self, dim: Hashable = None, *, name: Hashable = None) -> Dataset:\n name : hashable, optional\n Name to substitute for this array's name. Only valid if ``dim`` is\n not provided.\n+ promote_attrs : bool, default False\n+ Set to True to shallow copy attrs of DataArray to returned Dataset.\n \n Returns\n -------\n@@ -500,9 +508,14 @@ def to_dataset(self, dim: Hashable = None, *, name: Hashable = None) -> Dataset:\n if dim is not None:\n if name is not None:\n raise TypeError(\"cannot supply both dim and name arguments\")\n- return self._to_dataset_split(dim)\n+ result = self._to_dataset_split(dim)\n else:\n- return self._to_dataset_whole(name)\n+ result = self._to_dataset_whole(name)\n+\n+ if promote_attrs:\n+ result.attrs = dict(self.attrs)\n+\n+ return result\n \n @property\n def name(self) -> Optional[Hashable]:\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex b7ce0ec4e1e..6f96e4f469c 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -536,7 +536,7 @@ def __init__(\n if isinstance(coords, Dataset):\n coords = coords.variables\n \n- variables, coord_names, dims, indexes = merge_data_and_coords(\n+ variables, coord_names, dims, indexes, _ = merge_data_and_coords(\n data_vars, coords, compat=\"broadcast_equals\"\n )\n \ndiff --git a/xarray/core/merge.py b/xarray/core/merge.py\nindex 1d1b8d39a20..fea94246471 100644\n--- a/xarray/core/merge.py\n+++ b/xarray/core/merge.py\n@@ -20,7 +20,7 @@\n from . import dtypes, pdcompat\n from .alignment import deep_align\n from .duck_array_ops import lazy_array_equiv\n-from .utils import Frozen, dict_equiv\n+from .utils import Frozen, compat_dict_union, dict_equiv\n from .variable import Variable, as_variable, assert_unique_multiindex_level_names\n \n if TYPE_CHECKING:\n@@ -491,17 +491,54 @@ def assert_valid_explicit_coords(variables, dims, explicit_coords):\n )\n \n \n+def merge_attrs(variable_attrs, combine_attrs):\n+ \"\"\"Combine attributes from different variables according to combine_attrs\n+ \"\"\"\n+ if not variable_attrs:\n+ # no attributes to merge\n+ return None\n+\n+ if combine_attrs == \"drop\":\n+ return {}\n+ elif combine_attrs == \"override\":\n+ return variable_attrs[0]\n+ elif combine_attrs == \"no_conflicts\":\n+ result = dict(variable_attrs[0])\n+ for attrs in variable_attrs[1:]:\n+ try:\n+ result = compat_dict_union(result, attrs)\n+ except ValueError:\n+ raise MergeError(\n+ \"combine_attrs='no_conflicts', but some values are not \"\n+ \"the same. Merging %s with %s\" % (str(result), str(attrs))\n+ )\n+ return result\n+ elif combine_attrs == \"identical\":\n+ result = dict(variable_attrs[0])\n+ for attrs in variable_attrs[1:]:\n+ if not dict_equiv(result, attrs):\n+ raise MergeError(\n+ \"combine_attrs='identical', but attrs differ. First is %s \"\n+ \", other is %s.\" % (str(result), str(attrs))\n+ )\n+ return result\n+ else:\n+ raise ValueError(\"Unrecognised value for combine_attrs=%s\" % combine_attrs)\n+\n+\n class _MergeResult(NamedTuple):\n variables: Dict[Hashable, Variable]\n coord_names: Set[Hashable]\n dims: Dict[Hashable, int]\n indexes: Dict[Hashable, pd.Index]\n+ attrs: Dict[Hashable, Any]\n \n \n def merge_core(\n objects: Iterable[\"CoercibleMapping\"],\n compat: str = \"broadcast_equals\",\n join: str = \"outer\",\n+ combine_attrs: Optional[str] = \"override\",\n priority_arg: Optional[int] = None,\n explicit_coords: Optional[Sequence] = None,\n indexes: Optional[Mapping[Hashable, pd.Index]] = None,\n@@ -519,6 +556,8 @@ def merge_core(\n Compatibility checks to use when merging variables.\n join : {'outer', 'inner', 'left', 'right'}, optional\n How to combine objects with different indexes.\n+ combine_attrs : {'drop', 'identical', 'no_conflicts', 'override'}, optional\n+ How to combine attributes of objects\n priority_arg : integer, optional\n Optional argument in `objects` that takes precedence over the others.\n explicit_coords : set, optional\n@@ -536,12 +575,15 @@ def merge_core(\n Set of coordinate names.\n dims : dict\n Dictionary mapping from dimension names to sizes.\n+ attrs : dict\n+ Dictionary of attributes\n \n Raises\n ------\n MergeError if the merge cannot be done successfully.\n \"\"\"\n- from .dataset import calculate_dimensions\n+ from .dataarray import DataArray\n+ from .dataset import Dataset, calculate_dimensions\n \n _assert_compat_valid(compat)\n \n@@ -571,7 +613,16 @@ def merge_core(\n \"coordinates or not in the merged result: %s\" % ambiguous_coords\n )\n \n- return _MergeResult(variables, coord_names, dims, out_indexes)\n+ attrs = merge_attrs(\n+ [\n+ var.attrs\n+ for var in coerced\n+ if isinstance(var, Dataset) or isinstance(var, DataArray)\n+ ],\n+ combine_attrs,\n+ )\n+\n+ return _MergeResult(variables, coord_names, dims, out_indexes, attrs)\n \n \n def merge(\n@@ -579,6 +630,7 @@ def merge(\n compat: str = \"no_conflicts\",\n join: str = \"outer\",\n fill_value: object = dtypes.NA,\n+ combine_attrs: str = \"drop\",\n ) -> \"Dataset\":\n \"\"\"Merge any number of xarray objects into a single Dataset as variables.\n \n@@ -614,6 +666,16 @@ def merge(\n dimension must have the same size in all objects.\n fill_value : scalar, optional\n Value to use for newly missing values\n+ combine_attrs : {'drop', 'identical', 'no_conflicts', 'override'},\n+ default 'drop'\n+ String indicating how to combine attrs of the objects being merged:\n+\n+ - 'drop': empty attrs on returned Dataset.\n+ - 'identical': all attrs must be the same on every object.\n+ - 'no_conflicts': attrs from all objects are combined, any that have\n+ the same name must also have the same value.\n+ - 'override': skip comparing and copy attrs from the first dataset to\n+ the result.\n \n Returns\n -------\n@@ -787,10 +849,16 @@ def merge(\n \"Dataset(s), DataArray(s), and dictionaries.\"\n )\n \n- obj = obj.to_dataset() if isinstance(obj, DataArray) else obj\n+ obj = obj.to_dataset(promote_attrs=True) if isinstance(obj, DataArray) else obj\n dict_like_objects.append(obj)\n \n- merge_result = merge_core(dict_like_objects, compat, join, fill_value=fill_value)\n+ merge_result = merge_core(\n+ dict_like_objects,\n+ compat,\n+ join,\n+ combine_attrs=combine_attrs,\n+ fill_value=fill_value,\n+ )\n merged = Dataset._construct_direct(**merge_result._asdict())\n return merged\n \n@@ -861,4 +929,9 @@ def dataset_update_method(\n if coord_names:\n other[key] = value.drop_vars(coord_names)\n \n- return merge_core([dataset, other], priority_arg=1, indexes=dataset.indexes)\n+ return merge_core(\n+ [dataset, other],\n+ priority_arg=1,\n+ indexes=dataset.indexes,\n+ combine_attrs=\"override\",\n+ )\ndiff --git a/xarray/core/utils.py b/xarray/core/utils.py\nindex e335365d5ca..5570f9e9a80 100644\n--- a/xarray/core/utils.py\n+++ b/xarray/core/utils.py\n@@ -184,7 +184,7 @@ def peek_at(iterable: Iterable[T]) -> Tuple[T, Iterator[T]]:\n \n \n def update_safety_check(\n- first_dict: MutableMapping[K, V],\n+ first_dict: Mapping[K, V],\n second_dict: Mapping[K, V],\n compat: Callable[[V, V], bool] = equivalent,\n ) -> None:\n@@ -361,6 +361,9 @@ def ordered_dict_intersection(\n Binary operator to determine if two values are compatible. By default,\n checks for equivalence.\n \n+ # TODO: Rename to compat_dict_intersection, as we do not use OrderedDicts\n+ # any more.\n+\n Returns\n -------\n intersection : dict\n@@ -371,6 +374,35 @@ def ordered_dict_intersection(\n return new_dict\n \n \n+def compat_dict_union(\n+ first_dict: Mapping[K, V],\n+ second_dict: Mapping[K, V],\n+ compat: Callable[[V, V], bool] = equivalent,\n+) -> MutableMapping[K, V]:\n+ \"\"\"Return the union of two dictionaries as a new dictionary.\n+\n+ An exception is raised if any keys are found in both dictionaries and the\n+ values are not compatible.\n+\n+ Parameters\n+ ----------\n+ first_dict, second_dict : dict-like\n+ Mappings to merge.\n+ compat : function, optional\n+ Binary operator to determine if two values are compatible. By default,\n+ checks for equivalence.\n+\n+ Returns\n+ -------\n+ union : dict\n+ union of the contents.\n+ \"\"\"\n+ new_dict = dict(first_dict)\n+ update_safety_check(first_dict, second_dict, compat)\n+ new_dict.update(second_dict)\n+ return new_dict\n+\n+\n class Frozen(Mapping[K, V]):\n \"\"\"Wrapper around an object implementing the mapping interface to make it\n immutable. If you really want to modify the mapping, the mutable version is\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_combine.py b/xarray/tests/test_combine.py\nindex eb2c6e1dbf7..c3f981f10d1 100644\n--- a/xarray/tests/test_combine.py\n+++ b/xarray/tests/test_combine.py\n@@ -503,6 +503,49 @@ def test_auto_combine_2d(self):\n result = combine_nested(datasets, concat_dim=[\"dim1\", \"dim2\"])\n assert_equal(result, expected)\n \n+ def test_auto_combine_2d_combine_attrs_kwarg(self):\n+ ds = create_test_data\n+\n+ partway1 = concat([ds(0), ds(3)], dim=\"dim1\")\n+ partway2 = concat([ds(1), ds(4)], dim=\"dim1\")\n+ partway3 = concat([ds(2), ds(5)], dim=\"dim1\")\n+ expected = concat([partway1, partway2, partway3], dim=\"dim2\")\n+\n+ expected_dict = {}\n+ expected_dict[\"drop\"] = expected.copy(deep=True)\n+ expected_dict[\"drop\"].attrs = {}\n+ expected_dict[\"no_conflicts\"] = expected.copy(deep=True)\n+ expected_dict[\"no_conflicts\"].attrs = {\n+ \"a\": 1,\n+ \"b\": 2,\n+ \"c\": 3,\n+ \"d\": 4,\n+ \"e\": 5,\n+ \"f\": 6,\n+ }\n+ expected_dict[\"override\"] = expected.copy(deep=True)\n+ expected_dict[\"override\"].attrs = {\"a\": 1}\n+\n+ datasets = [[ds(0), ds(1), ds(2)], [ds(3), ds(4), ds(5)]]\n+\n+ datasets[0][0].attrs = {\"a\": 1}\n+ datasets[0][1].attrs = {\"a\": 1, \"b\": 2}\n+ datasets[0][2].attrs = {\"a\": 1, \"c\": 3}\n+ datasets[1][0].attrs = {\"a\": 1, \"d\": 4}\n+ datasets[1][1].attrs = {\"a\": 1, \"e\": 5}\n+ datasets[1][2].attrs = {\"a\": 1, \"f\": 6}\n+\n+ with raises_regex(ValueError, \"combine_attrs='identical'\"):\n+ result = combine_nested(\n+ datasets, concat_dim=[\"dim1\", \"dim2\"], combine_attrs=\"identical\"\n+ )\n+\n+ for combine_attrs in expected_dict:\n+ result = combine_nested(\n+ datasets, concat_dim=[\"dim1\", \"dim2\"], combine_attrs=combine_attrs\n+ )\n+ assert_identical(result, expected_dict[combine_attrs])\n+\n def test_combine_nested_missing_data_new_dim(self):\n # Your data includes \"time\" and \"station\" dimensions, and each year's\n # data has a different set of stations.\n@@ -642,6 +685,52 @@ def test_combine_coords_join_exact(self):\n with raises_regex(ValueError, \"indexes along dimension\"):\n combine_nested(objs, concat_dim=\"x\", join=\"exact\")\n \n+ @pytest.mark.parametrize(\n+ \"combine_attrs, expected\",\n+ [\n+ (\"drop\", Dataset({\"x\": [0, 1], \"y\": [0, 1]}, attrs={})),\n+ (\n+ \"no_conflicts\",\n+ Dataset({\"x\": [0, 1], \"y\": [0, 1]}, attrs={\"a\": 1, \"b\": 2}),\n+ ),\n+ (\"override\", Dataset({\"x\": [0, 1], \"y\": [0, 1]}, attrs={\"a\": 1})),\n+ ],\n+ )\n+ def test_combine_coords_combine_attrs(self, combine_attrs, expected):\n+ objs = [\n+ Dataset({\"x\": [0], \"y\": [0]}, attrs={\"a\": 1}),\n+ Dataset({\"x\": [1], \"y\": [1]}, attrs={\"a\": 1, \"b\": 2}),\n+ ]\n+ actual = combine_nested(\n+ objs, concat_dim=\"x\", join=\"outer\", combine_attrs=combine_attrs\n+ )\n+ assert_identical(expected, actual)\n+\n+ if combine_attrs == \"no_conflicts\":\n+ objs[1].attrs[\"a\"] = 2\n+ with raises_regex(ValueError, \"combine_attrs='no_conflicts'\"):\n+ actual = combine_nested(\n+ objs, concat_dim=\"x\", join=\"outer\", combine_attrs=combine_attrs\n+ )\n+\n+ def test_combine_coords_combine_attrs_identical(self):\n+ objs = [\n+ Dataset({\"x\": [0], \"y\": [0]}, attrs={\"a\": 1}),\n+ Dataset({\"x\": [1], \"y\": [1]}, attrs={\"a\": 1}),\n+ ]\n+ expected = Dataset({\"x\": [0, 1], \"y\": [0, 1]}, attrs={\"a\": 1})\n+ actual = combine_nested(\n+ objs, concat_dim=\"x\", join=\"outer\", combine_attrs=\"identical\"\n+ )\n+ assert_identical(expected, actual)\n+\n+ objs[1].attrs[\"b\"] = 2\n+\n+ with raises_regex(ValueError, \"combine_attrs='identical'\"):\n+ actual = combine_nested(\n+ objs, concat_dim=\"x\", join=\"outer\", combine_attrs=\"identical\"\n+ )\n+\n def test_infer_order_from_coords(self):\n data = create_test_data()\n objs = [data.isel(dim2=slice(4, 9)), data.isel(dim2=slice(4))]\ndiff --git a/xarray/tests/test_concat.py b/xarray/tests/test_concat.py\nindex 1a498496c03..e5038dd4af2 100644\n--- a/xarray/tests/test_concat.py\n+++ b/xarray/tests/test_concat.py\n@@ -256,6 +256,28 @@ def test_concat_join_kwarg(self):\n )\n assert_identical(actual, expected)\n \n+ def test_concat_combine_attrs_kwarg(self):\n+ ds1 = Dataset({\"a\": (\"x\", [0])}, coords={\"x\": [0]}, attrs={\"b\": 42})\n+ ds2 = Dataset({\"a\": (\"x\", [0])}, coords={\"x\": [1]}, attrs={\"b\": 42, \"c\": 43})\n+\n+ expected = {}\n+ expected[\"drop\"] = Dataset({\"a\": (\"x\", [0, 0])}, {\"x\": [0, 1]})\n+ expected[\"no_conflicts\"] = Dataset(\n+ {\"a\": (\"x\", [0, 0])}, {\"x\": [0, 1]}, {\"b\": 42, \"c\": 43}\n+ )\n+ expected[\"override\"] = Dataset({\"a\": (\"x\", [0, 0])}, {\"x\": [0, 1]}, {\"b\": 42})\n+\n+ with raises_regex(ValueError, \"combine_attrs='identical'\"):\n+ actual = concat([ds1, ds2], dim=\"x\", combine_attrs=\"identical\")\n+ with raises_regex(ValueError, \"combine_attrs='no_conflicts'\"):\n+ ds3 = ds2.copy(deep=True)\n+ ds3.attrs[\"b\"] = 44\n+ actual = concat([ds1, ds3], dim=\"x\", combine_attrs=\"no_conflicts\")\n+\n+ for combine_attrs in expected:\n+ actual = concat([ds1, ds2], dim=\"x\", combine_attrs=combine_attrs)\n+ assert_identical(actual, expected[combine_attrs])\n+\n def test_concat_promote_shape(self):\n # mixed dims within variables\n objs = [Dataset({}, {\"x\": 0}), Dataset({\"x\": [1]})]\n@@ -469,6 +491,30 @@ def test_concat_join_kwarg(self):\n actual = concat([ds1, ds2], join=join, dim=\"x\")\n assert_equal(actual, expected[join].to_array())\n \n+ def test_concat_combine_attrs_kwarg(self):\n+ da1 = DataArray([0], coords=[(\"x\", [0])], attrs={\"b\": 42})\n+ da2 = DataArray([0], coords=[(\"x\", [1])], attrs={\"b\": 42, \"c\": 43})\n+\n+ expected = {}\n+ expected[\"drop\"] = DataArray([0, 0], coords=[(\"x\", [0, 1])])\n+ expected[\"no_conflicts\"] = DataArray(\n+ [0, 0], coords=[(\"x\", [0, 1])], attrs={\"b\": 42, \"c\": 43}\n+ )\n+ expected[\"override\"] = DataArray(\n+ [0, 0], coords=[(\"x\", [0, 1])], attrs={\"b\": 42}\n+ )\n+\n+ with raises_regex(ValueError, \"combine_attrs='identical'\"):\n+ actual = concat([da1, da2], dim=\"x\", combine_attrs=\"identical\")\n+ with raises_regex(ValueError, \"combine_attrs='no_conflicts'\"):\n+ da3 = da2.copy(deep=True)\n+ da3.attrs[\"b\"] = 44\n+ actual = concat([da1, da3], dim=\"x\", combine_attrs=\"no_conflicts\")\n+\n+ for combine_attrs in expected:\n+ actual = concat([da1, da2], dim=\"x\", combine_attrs=combine_attrs)\n+ assert_identical(actual, expected[combine_attrs])\n+\n \n @pytest.mark.parametrize(\"attr1\", ({\"a\": {\"meta\": [10, 20, 30]}}, {\"a\": [1, 2, 3]}, {}))\n @pytest.mark.parametrize(\"attr2\", ({\"a\": [1, 2, 3]}, {}))\ndiff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex fbd9810f285..4f19dc2a9cf 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -3750,9 +3750,16 @@ def test_to_dataset_whole(self):\n expected = Dataset({\"foo\": (\"x\", [1, 2])})\n assert_identical(expected, actual)\n \n- named = DataArray([1, 2], dims=\"x\", name=\"foo\")\n+ named = DataArray([1, 2], dims=\"x\", name=\"foo\", attrs={\"y\": \"testattr\"})\n actual = named.to_dataset()\n- expected = Dataset({\"foo\": (\"x\", [1, 2])})\n+ expected = Dataset({\"foo\": (\"x\", [1, 2], {\"y\": \"testattr\"})})\n+ assert_identical(expected, actual)\n+\n+ # Test promoting attrs\n+ actual = named.to_dataset(promote_attrs=True)\n+ expected = Dataset(\n+ {\"foo\": (\"x\", [1, 2], {\"y\": \"testattr\"})}, attrs={\"y\": \"testattr\"}\n+ )\n assert_identical(expected, actual)\n \n with pytest.raises(TypeError):\ndiff --git a/xarray/tests/test_merge.py b/xarray/tests/test_merge.py\nindex 6c8f3f65657..9057575b38c 100644\n--- a/xarray/tests/test_merge.py\n+++ b/xarray/tests/test_merge.py\n@@ -3,6 +3,7 @@\n \n import xarray as xr\n from xarray.core import dtypes, merge\n+from xarray.core.merge import MergeError\n from xarray.testing import assert_identical\n \n from . import raises_regex\n@@ -49,6 +50,65 @@ def test_merge_dataarray_unnamed(self):\n with raises_regex(ValueError, \"without providing an explicit name\"):\n xr.merge([data])\n \n+ def test_merge_arrays_attrs_default(self):\n+ var1_attrs = {\"a\": 1, \"b\": 2}\n+ var2_attrs = {\"a\": 1, \"c\": 3}\n+ expected_attrs = {}\n+\n+ data = create_test_data()\n+ data.var1.attrs = var1_attrs\n+ data.var2.attrs = var2_attrs\n+ actual = xr.merge([data.var1, data.var2])\n+ expected = data[[\"var1\", \"var2\"]]\n+ expected.attrs = expected_attrs\n+ assert actual.identical(expected)\n+\n+ @pytest.mark.parametrize(\n+ \"combine_attrs, var1_attrs, var2_attrs, expected_attrs, \" \"expect_exception\",\n+ [\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 1, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ False,\n+ ),\n+ (\"no_conflicts\", {\"a\": 1, \"b\": 2}, {}, {\"a\": 1, \"b\": 2}, False),\n+ (\"no_conflicts\", {}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"c\": 3}, False),\n+ (\n+ \"no_conflicts\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"c\": 3},\n+ {\"a\": 1, \"b\": 2, \"c\": 3},\n+ True,\n+ ),\n+ (\"drop\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, {\"a\": 1, \"b\": 2}, False),\n+ (\"identical\", {\"a\": 1, \"b\": 2}, {\"a\": 1, \"c\": 3}, {\"a\": 1, \"b\": 2}, True),\n+ (\n+ \"override\",\n+ {\"a\": 1, \"b\": 2},\n+ {\"a\": 4, \"b\": 5, \"c\": 3},\n+ {\"a\": 1, \"b\": 2},\n+ False,\n+ ),\n+ ],\n+ )\n+ def test_merge_arrays_attrs(\n+ self, combine_attrs, var1_attrs, var2_attrs, expected_attrs, expect_exception\n+ ):\n+ data = create_test_data()\n+ data.var1.attrs = var1_attrs\n+ data.var2.attrs = var2_attrs\n+ if expect_exception:\n+ with raises_regex(MergeError, \"combine_attrs\"):\n+ actual = xr.merge([data.var1, data.var2], combine_attrs=combine_attrs)\n+ else:\n+ actual = xr.merge([data.var1, data.var2], combine_attrs=combine_attrs)\n+ expected = data[[\"var1\", \"var2\"]]\n+ expected.attrs = expected_attrs\n+ assert actual.identical(expected)\n+\n def test_merge_dicts_simple(self):\n actual = xr.merge([{\"foo\": 0}, {\"bar\": \"one\"}, {\"baz\": 3.5}])\n expected = xr.Dataset({\"foo\": 0, \"bar\": \"one\", \"baz\": 3.5})\ndiff --git a/xarray/tests/test_utils.py b/xarray/tests/test_utils.py\nindex af87b94393d..ddca6c57064 100644\n--- a/xarray/tests/test_utils.py\n+++ b/xarray/tests/test_utils.py\n@@ -9,7 +9,7 @@\n from xarray.core import duck_array_ops, utils\n from xarray.core.utils import either_dict_or_kwargs\n \n-from . import assert_array_equal, requires_cftime, requires_dask\n+from . import assert_array_equal, raises_regex, requires_cftime, requires_dask\n from .test_coding_times import _all_cftime_date_types\n \n \n@@ -124,6 +124,15 @@ def test_ordered_dict_intersection(self):\n assert {\"b\": \"B\"} == utils.ordered_dict_intersection(self.x, self.y)\n assert {} == utils.ordered_dict_intersection(self.x, self.z)\n \n+ def test_compat_dict_union(self):\n+ assert {\"a\": \"A\", \"b\": \"B\", \"c\": \"C\"} == utils.compat_dict_union(self.x, self.y)\n+ with raises_regex(\n+ ValueError,\n+ \"unsafe to merge dictionaries without \"\n+ \"overriding values; conflicting key\",\n+ ):\n+ utils.compat_dict_union(self.x, self.z)\n+\n def test_dict_equiv(self):\n x = {}\n x[\"a\"] = 3\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 10f6b23ca66..c082bcaa263 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,10 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n+ :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n+ combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\n+ By `John Omotani <https://github.com/johnomotani>`_\n \n \n Bug fixes\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 10f6b23ca66..c082bcaa263 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -24,6 +24,10 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\\n+ :py:func:`combine_by_coords` and :py:func:`combine_nested` using\\n+ combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\\n+ By `John Omotani <https://github.com/johnomotani>`_\\n \\n \\n Bug fixes\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"c707b337a0f75224ee3b3e3b65a08da792df2fa6"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataarray.py::TestDataArray::test_pad_linear_ramp[None]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[std-4-3-False-2]\",\n \"xarray/tests/test_utils.py::TestArrayEquiv::test_0d\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[sum-2-3-False-2]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[sum-2-None-True-1]\",\n \"xarray/tests/test_combine.py::TestNestedCombine::test_invalid_hypercube_input\",\n \"xarray/tests/test_concat.py::TestConcatDataArray::test_concat_fill_value[2]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_constructor_from_self_described\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[axis2-dim2-q1-False]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_dict_with_time_dim\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[max-4-2-False-1]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[std-4-3-True-1]\",\n \"xarray/tests/test_concat.py::TestConcatDataset::test_concat_autoalign\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_broadcast_coordinates\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[sum-3-None-True-1]\",\n \"xarray/tests/test_dataarray.py::test_rolling_reduce[std-2-None-False-2]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs_identical","xarray/tests/test_concat.py::TestConcatDataArray::test_concat_combine_attrs_kwarg","xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs[drop-expected0]","xarray/tests/test_combine.py::TestNestedCombine::test_auto_combine_2d_combine_attrs_kwarg","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[no_conflicts-var1_attrs3-var2_attrs3-expected_attrs3-True]","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[drop-var1_attrs4-var2_attrs4-expected_attrs4-False]","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[no_conflicts-var1_attrs2-var2_attrs2-expected_attrs2-False]","xarray/tests/test_utils.py::TestDictionaries::test_compat_dict_union","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[no_conflicts-var1_attrs0-var2_attrs0-expected_attrs0-False]","xarray/tests/test_dataarray.py::TestDataArray::test_to_dataset_whole","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[identical-var1_attrs6-var2_attrs6-expected_attrs6-True]","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[no_conflicts-var1_attrs1-var2_attrs1-expected_attrs1-False]","xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs[no_conflicts-expected1]","xarray/tests/test_concat.py::TestConcatDataset::test_concat_combine_attrs_kwarg","xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs[override-expected2]","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[override-var1_attrs7-var2_attrs7-expected_attrs7-False]","xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[identical-var1_attrs5-var2_attrs5-expected_attrs5-False]"],"string":"[\n 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\"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[no_conflicts-var1_attrs0-var2_attrs0-expected_attrs0-False]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_to_dataset_whole\",\n \"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[identical-var1_attrs6-var2_attrs6-expected_attrs6-True]\",\n \"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[no_conflicts-var1_attrs1-var2_attrs1-expected_attrs1-False]\",\n \"xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs[no_conflicts-expected1]\",\n \"xarray/tests/test_concat.py::TestConcatDataset::test_concat_combine_attrs_kwarg\",\n \"xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs[override-expected2]\",\n \"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[override-var1_attrs7-var2_attrs7-expected_attrs7-False]\",\n \"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[identical-var1_attrs5-var2_attrs5-expected_attrs5-False]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"promote_attrs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"promote_attrs\"\n },\n {\n \"type\": \"function\",\n \"name\": \"compat_dict_union\"\n },\n {\n \"type\": \"field\",\n \"name\": \"compat_dict_union\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 10f6b23ca66..c082bcaa263 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,10 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n+ :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n+ combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n \n \n Bug fixes\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 10f6b23ca66..c082bcaa263 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -24,6 +24,10 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\\n+ :py:func:`combine_by_coords` and :py:func:`combine_nested` using\\n+ combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\\n+ By `<NAME>`_\\n \\n \\n Bug fixes\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 10f6b23ca66..c082bcaa263 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,10 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n+ :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n+ combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n \n \n Bug fixes\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'promote_attrs'}, {'type': 'field', 'name': 'promote_attrs'}, {'type': 'function', 'name': 'compat_dict_union'}, {'type': 'field', 'name': 'compat_dict_union'}]\n"}}},{"rowIdx":588,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3871"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3871"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex 216f47f988f..b37c84e7a81 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -180,6 +180,8 @@ Computation\n :py:attr:`~Dataset.any`\n :py:attr:`~Dataset.argmax`\n :py:attr:`~Dataset.argmin`\n+:py:attr:`~Dataset.idxmax`\n+:py:attr:`~Dataset.idxmin`\n :py:attr:`~Dataset.max`\n :py:attr:`~Dataset.mean`\n :py:attr:`~Dataset.median`\n@@ -362,6 +364,8 @@ Computation\n :py:attr:`~DataArray.any`\n :py:attr:`~DataArray.argmax`\n :py:attr:`~DataArray.argmin`\n+:py:attr:`~DataArray.idxmax`\n+:py:attr:`~DataArray.idxmin`\n :py:attr:`~DataArray.max`\n :py:attr:`~DataArray.mean`\n :py:attr:`~DataArray.median`\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 39aaa0e4fd3..c70dfd4f3f6 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -38,10 +38,16 @@ New Features\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`3900`)\n By `Maximilian Roos <https://github.com/max-sixty>`_\n+- Implement :py:meth:`DataArray.idxmax`, :py:meth:`DataArray.idxmin`,\n+ :py:meth:`Dataset.idxmax`, :py:meth:`Dataset.idxmin`. (:issue:`60`, :pull:`3871`)\n+ By `Todd Jennings <https://github.com/toddrjen>`_\n \n \n Bug fixes\n ~~~~~~~~~\n+- Fix a regression where deleting a coordinate from a copied :py:class:`DataArray`\n+ can affect the original :py:class:`Dataarray`. (:issue:`3899`, :pull:`3871`)\n+ By `Todd Jennings <https://github.com/toddrjen>`_\n \n \n Documentation\ndiff --git a/xarray/core/computation.py b/xarray/core/computation.py\nindex 13bf6248331..6cf4178b5bf 100644\n--- a/xarray/core/computation.py\n+++ b/xarray/core/computation.py\n@@ -23,9 +23,10 @@\n \n import numpy as np\n \n-from . import duck_array_ops, utils\n+from . import dtypes, duck_array_ops, utils\n from .alignment import deep_align\n from .merge import merge_coordinates_without_align\n+from .nanops import dask_array\n from .options import OPTIONS\n from .pycompat import dask_array_type\n from .utils import is_dict_like\n@@ -1338,3 +1339,66 @@ def polyval(coord, coeffs, degree_dim=\"degree\"):\n coords={coord.name: coord, degree_dim: np.arange(deg_coord.max() + 1)[::-1]},\n )\n return (lhs * coeffs).sum(degree_dim)\n+\n+\n+def _calc_idxminmax(\n+ *,\n+ array,\n+ func: Callable,\n+ dim: Hashable = None,\n+ skipna: bool = None,\n+ fill_value: Any = dtypes.NA,\n+ keep_attrs: bool = None,\n+):\n+ \"\"\"Apply common operations for idxmin and idxmax.\"\"\"\n+ # This function doesn't make sense for scalars so don't try\n+ if not array.ndim:\n+ raise ValueError(\"This function does not apply for scalars\")\n+\n+ if dim is not None:\n+ pass # Use the dim if available\n+ elif array.ndim == 1:\n+ # it is okay to guess the dim if there is only 1\n+ dim = array.dims[0]\n+ else:\n+ # The dim is not specified and ambiguous. Don't guess.\n+ raise ValueError(\"Must supply 'dim' argument for multidimensional arrays\")\n+\n+ if dim not in array.dims:\n+ raise KeyError(f'Dimension \"{dim}\" not in dimension')\n+ if dim not in array.coords:\n+ raise KeyError(f'Dimension \"{dim}\" does not have coordinates')\n+\n+ # These are dtypes with NaN values argmin and argmax can handle\n+ na_dtypes = \"cfO\"\n+\n+ if skipna or (skipna is None and array.dtype.kind in na_dtypes):\n+ # Need to skip NaN values since argmin and argmax can't handle them\n+ allna = array.isnull().all(dim)\n+ array = array.where(~allna, 0)\n+\n+ # This will run argmin or argmax.\n+ indx = func(array, dim=dim, axis=None, keep_attrs=keep_attrs, skipna=skipna)\n+\n+ # Get the coordinate we want.\n+ coordarray = array[dim]\n+\n+ # Handle dask arrays.\n+ if isinstance(array, dask_array_type):\n+ res = dask_array.map_blocks(coordarray, indx, dtype=indx.dtype)\n+ else:\n+ res = coordarray[\n+ indx,\n+ ]\n+\n+ if skipna or (skipna is None and array.dtype.kind in na_dtypes):\n+ # Put the NaN values back in after removing them\n+ res = res.where(~allna, fill_value)\n+\n+ # The dim is gone but we need to remove the corresponding coordinate.\n+ del res.coords[dim]\n+\n+ # Copy attributes from argmin/argmax, if any\n+ res.attrs = indx.attrs\n+\n+ return res\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 94c4026d4a1..b7e0333dcd9 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -930,7 +930,10 @@ def copy(self, deep: bool = True, data: Any = None) -> \"DataArray\":\n \"\"\"\n variable = self.variable.copy(deep=deep, data=data)\n coords = {k: v.copy(deep=deep) for k, v in self._coords.items()}\n- indexes = self._indexes\n+ if self._indexes is None:\n+ indexes = self._indexes\n+ else:\n+ indexes = {k: v.copy(deep=deep) for k, v in self._indexes.items()}\n return self._replace(variable, coords, indexes=indexes)\n \n def __copy__(self) -> \"DataArray\":\n@@ -3505,6 +3508,194 @@ def pad(\n )\n return self._from_temp_dataset(ds)\n \n+ def idxmin(\n+ self,\n+ dim: Hashable = None,\n+ skipna: bool = None,\n+ fill_value: Any = dtypes.NA,\n+ keep_attrs: bool = None,\n+ ) -> \"DataArray\":\n+ \"\"\"Return the coordinate label of the minimum value along a dimension.\n+\n+ Returns a new `DataArray` named after the dimension with the values of\n+ the coordinate labels along that dimension corresponding to minimum\n+ values along that dimension.\n+\n+ In comparison to :py:meth:`~DataArray.argmin`, this returns the\n+ coordinate label while :py:meth:`~DataArray.argmin` returns the index.\n+\n+ Parameters\n+ ----------\n+ dim : str, optional\n+ Dimension over which to apply `idxmin`. This is optional for 1D\n+ arrays, but required for arrays with 2 or more dimensions.\n+ skipna : bool or None, default None\n+ If True, skip missing values (as marked by NaN). By default, only\n+ skips missing values for ``float``, ``complex``, and ``object``\n+ dtypes; other dtypes either do not have a sentinel missing value\n+ (``int``) or ``skipna=True`` has not been implemented\n+ (``datetime64`` or ``timedelta64``).\n+ fill_value : Any, default NaN\n+ Value to be filled in case all of the values along a dimension are\n+ null. By default this is NaN. The fill value and result are\n+ automatically converted to a compatible dtype if possible.\n+ Ignored if ``skipna`` is False.\n+ keep_attrs : bool, default False\n+ If True, the attributes (``attrs``) will be copied from the\n+ original object to the new one. If False (default), the new object\n+ will be returned without attributes.\n+\n+ Returns\n+ -------\n+ reduced : DataArray\n+ New `DataArray` object with `idxmin` applied to its data and the\n+ indicated dimension removed.\n+\n+ See also\n+ --------\n+ Dataset.idxmin, DataArray.idxmax, DataArray.min, DataArray.argmin\n+\n+ Examples\n+ --------\n+\n+ >>> array = xr.DataArray([0, 2, 1, 0, -2], dims=\"x\",\n+ ... coords={\"x\": ['a', 'b', 'c', 'd', 'e']})\n+ >>> array.min()\n+ <xarray.DataArray ()>\n+ array(-2)\n+ >>> array.argmin()\n+ <xarray.DataArray ()>\n+ array(4)\n+ >>> array.idxmin()\n+ <xarray.DataArray 'x' ()>\n+ array('e', dtype='<U1')\n+\n+ >>> array = xr.DataArray([[2.0, 1.0, 2.0, 0.0, -2.0],\n+ ... [-4.0, np.NaN, 2.0, np.NaN, -2.0],\n+ ... [np.NaN, np.NaN, 1., np.NaN, np.NaN]],\n+ ... dims=[\"y\", \"x\"],\n+ ... coords={\"y\": [-1, 0, 1],\n+ ... \"x\": np.arange(5.)**2}\n+ ... )\n+ >>> array.min(dim=\"x\")\n+ <xarray.DataArray (y: 3)>\n+ array([-2., -4., 1.])\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ >>> array.argmin(dim=\"x\")\n+ <xarray.DataArray (y: 3)>\n+ array([4, 0, 2])\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ >>> array.idxmin(dim=\"x\")\n+ <xarray.DataArray 'x' (y: 3)>\n+ array([16., 0., 4.])\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ \"\"\"\n+ return computation._calc_idxminmax(\n+ array=self,\n+ func=lambda x, *args, **kwargs: x.argmin(*args, **kwargs),\n+ dim=dim,\n+ skipna=skipna,\n+ fill_value=fill_value,\n+ keep_attrs=keep_attrs,\n+ )\n+\n+ def idxmax(\n+ self,\n+ dim: Hashable = None,\n+ skipna: bool = None,\n+ fill_value: Any = dtypes.NA,\n+ keep_attrs: bool = None,\n+ ) -> \"DataArray\":\n+ \"\"\"Return the coordinate label of the maximum value along a dimension.\n+\n+ Returns a new `DataArray` named after the dimension with the values of\n+ the coordinate labels along that dimension corresponding to maximum\n+ values along that dimension.\n+\n+ In comparison to :py:meth:`~DataArray.argmax`, this returns the\n+ coordinate label while :py:meth:`~DataArray.argmax` returns the index.\n+\n+ Parameters\n+ ----------\n+ dim : str, optional\n+ Dimension over which to apply `idxmax`. This is optional for 1D\n+ arrays, but required for arrays with 2 or more dimensions.\n+ skipna : bool or None, default None\n+ If True, skip missing values (as marked by NaN). By default, only\n+ skips missing values for ``float``, ``complex``, and ``object``\n+ dtypes; other dtypes either do not have a sentinel missing value\n+ (``int``) or ``skipna=True`` has not been implemented\n+ (``datetime64`` or ``timedelta64``).\n+ fill_value : Any, default NaN\n+ Value to be filled in case all of the values along a dimension are\n+ null. By default this is NaN. The fill value and result are\n+ automatically converted to a compatible dtype if possible.\n+ Ignored if ``skipna`` is False.\n+ keep_attrs : bool, default False\n+ If True, the attributes (``attrs``) will be copied from the\n+ original object to the new one. If False (default), the new object\n+ will be returned without attributes.\n+\n+ Returns\n+ -------\n+ reduced : DataArray\n+ New `DataArray` object with `idxmax` applied to its data and the\n+ indicated dimension removed.\n+\n+ See also\n+ --------\n+ Dataset.idxmax, DataArray.idxmin, DataArray.max, DataArray.argmax\n+\n+ Examples\n+ --------\n+\n+ >>> array = xr.DataArray([0, 2, 1, 0, -2], dims=\"x\",\n+ ... coords={\"x\": ['a', 'b', 'c', 'd', 'e']})\n+ >>> array.max()\n+ <xarray.DataArray ()>\n+ array(2)\n+ >>> array.argmax()\n+ <xarray.DataArray ()>\n+ array(1)\n+ >>> array.idxmax()\n+ <xarray.DataArray 'x' ()>\n+ array('b', dtype='<U1')\n+\n+ >>> array = xr.DataArray([[2.0, 1.0, 2.0, 0.0, -2.0],\n+ ... [-4.0, np.NaN, 2.0, np.NaN, -2.0],\n+ ... [np.NaN, np.NaN, 1., np.NaN, np.NaN]],\n+ ... dims=[\"y\", \"x\"],\n+ ... coords={\"y\": [-1, 0, 1],\n+ ... \"x\": np.arange(5.)**2}\n+ ... )\n+ >>> array.max(dim=\"x\")\n+ <xarray.DataArray (y: 3)>\n+ array([2., 2., 1.])\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ >>> array.argmax(dim=\"x\")\n+ <xarray.DataArray (y: 3)>\n+ array([0, 2, 2])\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ >>> array.idxmax(dim=\"x\")\n+ <xarray.DataArray 'x' (y: 3)>\n+ array([0., 4., 4.])\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ \"\"\"\n+ return computation._calc_idxminmax(\n+ array=self,\n+ func=lambda x, *args, **kwargs: x.argmax(*args, **kwargs),\n+ dim=dim,\n+ skipna=skipna,\n+ fill_value=fill_value,\n+ keep_attrs=keep_attrs,\n+ )\n+\n # this needs to be at the end, or mypy will confuse with `str`\n # https://mypy.readthedocs.io/en/latest/common_issues.html#dealing-with-conflicting-names\n str = property(StringAccessor)\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex bd8f0ef3948..c515d781db1 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -6,6 +6,7 @@\n from collections import defaultdict\n from html import escape\n from numbers import Number\n+from operator import methodcaller\n from pathlib import Path\n from typing import (\n TYPE_CHECKING,\n@@ -6093,5 +6094,195 @@ def pad(\n \n return self._replace_vars_and_dims(variables)\n \n+ def idxmin(\n+ self,\n+ dim: Hashable = None,\n+ skipna: bool = None,\n+ fill_value: Any = dtypes.NA,\n+ keep_attrs: bool = None,\n+ ) -> \"Dataset\":\n+ \"\"\"Return the coordinate label of the minimum value along a dimension.\n+\n+ Returns a new `Dataset` named after the dimension with the values of\n+ the coordinate labels along that dimension corresponding to minimum\n+ values along that dimension.\n+\n+ In comparison to :py:meth:`~Dataset.argmin`, this returns the\n+ coordinate label while :py:meth:`~Dataset.argmin` returns the index.\n+\n+ Parameters\n+ ----------\n+ dim : str, optional\n+ Dimension over which to apply `idxmin`. This is optional for 1D\n+ variables, but required for variables with 2 or more dimensions.\n+ skipna : bool or None, default None\n+ If True, skip missing values (as marked by NaN). By default, only\n+ skips missing values for ``float``, ``complex``, and ``object``\n+ dtypes; other dtypes either do not have a sentinel missing value\n+ (``int``) or ``skipna=True`` has not been implemented\n+ (``datetime64`` or ``timedelta64``).\n+ fill_value : Any, default NaN\n+ Value to be filled in case all of the values along a dimension are\n+ null. By default this is NaN. The fill value and result are\n+ automatically converted to a compatible dtype if possible.\n+ Ignored if ``skipna`` is False.\n+ keep_attrs : bool, default False\n+ If True, the attributes (``attrs``) will be copied from the\n+ original object to the new one. If False (default), the new object\n+ will be returned without attributes.\n+\n+ Returns\n+ -------\n+ reduced : Dataset\n+ New `Dataset` object with `idxmin` applied to its data and the\n+ indicated dimension removed.\n+\n+ See also\n+ --------\n+ DataArray.idxmin, Dataset.idxmax, Dataset.min, Dataset.argmin\n+\n+ Examples\n+ --------\n+\n+ >>> array1 = xr.DataArray([0, 2, 1, 0, -2], dims=\"x\",\n+ ... coords={\"x\": ['a', 'b', 'c', 'd', 'e']})\n+ >>> array2 = xr.DataArray([[2.0, 1.0, 2.0, 0.0, -2.0],\n+ ... [-4.0, np.NaN, 2.0, np.NaN, -2.0],\n+ ... [np.NaN, np.NaN, 1., np.NaN, np.NaN]],\n+ ... dims=[\"y\", \"x\"],\n+ ... coords={\"y\": [-1, 0, 1],\n+ ... \"x\": ['a', 'b', 'c', 'd', 'e']}\n+ ... )\n+ >>> ds = xr.Dataset({'int': array1, 'float': array2})\n+ >>> ds.min(dim='x')\n+ <xarray.Dataset>\n+ Dimensions: (y: 3)\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ Data variables:\n+ int int64 -2\n+ float (y) float64 -2.0 -4.0 1.0\n+ >>> ds.argmin(dim='x')\n+ <xarray.Dataset>\n+ Dimensions: (y: 3)\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ Data variables:\n+ int int64 4\n+ float (y) int64 4 0 2\n+ >>> ds.idxmin(dim='x')\n+ <xarray.Dataset>\n+ Dimensions: (y: 3)\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ Data variables:\n+ int <U1 'e'\n+ float (y) <U1 'e' 'a' 'c'\n+ \"\"\"\n+ return self.map(\n+ methodcaller(\n+ \"idxmin\",\n+ dim=dim,\n+ skipna=skipna,\n+ fill_value=fill_value,\n+ keep_attrs=keep_attrs,\n+ ),\n+ )\n+\n+ def idxmax(\n+ self,\n+ dim: Hashable = None,\n+ skipna: bool = None,\n+ fill_value: Any = dtypes.NA,\n+ keep_attrs: bool = None,\n+ ) -> \"Dataset\":\n+ \"\"\"Return the coordinate label of the maximum value along a dimension.\n+\n+ Returns a new `Dataset` named after the dimension with the values of\n+ the coordinate labels along that dimension corresponding to maximum\n+ values along that dimension.\n+\n+ In comparison to :py:meth:`~Dataset.argmax`, this returns the\n+ coordinate label while :py:meth:`~Dataset.argmax` returns the index.\n+\n+ Parameters\n+ ----------\n+ dim : str, optional\n+ Dimension over which to apply `idxmax`. This is optional for 1D\n+ variables, but required for variables with 2 or more dimensions.\n+ skipna : bool or None, default None\n+ If True, skip missing values (as marked by NaN). By default, only\n+ skips missing values for ``float``, ``complex``, and ``object``\n+ dtypes; other dtypes either do not have a sentinel missing value\n+ (``int``) or ``skipna=True`` has not been implemented\n+ (``datetime64`` or ``timedelta64``).\n+ fill_value : Any, default NaN\n+ Value to be filled in case all of the values along a dimension are\n+ null. By default this is NaN. The fill value and result are\n+ automatically converted to a compatible dtype if possible.\n+ Ignored if ``skipna`` is False.\n+ keep_attrs : bool, default False\n+ If True, the attributes (``attrs``) will be copied from the\n+ original object to the new one. If False (default), the new object\n+ will be returned without attributes.\n+\n+ Returns\n+ -------\n+ reduced : Dataset\n+ New `Dataset` object with `idxmax` applied to its data and the\n+ indicated dimension removed.\n+\n+ See also\n+ --------\n+ DataArray.idxmax, Dataset.idxmin, Dataset.max, Dataset.argmax\n+\n+ Examples\n+ --------\n+\n+ >>> array1 = xr.DataArray([0, 2, 1, 0, -2], dims=\"x\",\n+ ... coords={\"x\": ['a', 'b', 'c', 'd', 'e']})\n+ >>> array2 = xr.DataArray([[2.0, 1.0, 2.0, 0.0, -2.0],\n+ ... [-4.0, np.NaN, 2.0, np.NaN, -2.0],\n+ ... [np.NaN, np.NaN, 1., np.NaN, np.NaN]],\n+ ... dims=[\"y\", \"x\"],\n+ ... coords={\"y\": [-1, 0, 1],\n+ ... \"x\": ['a', 'b', 'c', 'd', 'e']}\n+ ... )\n+ >>> ds = xr.Dataset({'int': array1, 'float': array2})\n+ >>> ds.max(dim='x')\n+ <xarray.Dataset>\n+ Dimensions: (y: 3)\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ Data variables:\n+ int int64 2\n+ float (y) float64 2.0 2.0 1.0\n+ >>> ds.argmax(dim='x')\n+ <xarray.Dataset>\n+ Dimensions: (y: 3)\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ Data variables:\n+ int int64 1\n+ float (y) int64 0 2 2\n+ >>> ds.idxmax(dim='x')\n+ <xarray.Dataset>\n+ Dimensions: (y: 3)\n+ Coordinates:\n+ * y (y) int64 -1 0 1\n+ Data variables:\n+ int <U1 'b'\n+ float (y) object 'a' 'c' 'c'\n+ \"\"\"\n+ return self.map(\n+ methodcaller(\n+ \"idxmax\",\n+ dim=dim,\n+ skipna=skipna,\n+ fill_value=fill_value,\n+ keep_attrs=keep_attrs,\n+ ),\n+ )\n+\n \n ops.inject_all_ops_and_reduce_methods(Dataset, array_only=False)\ndiff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py\nindex 4047a1e68e1..1340b456cf2 100644\n--- a/xarray/core/duck_array_ops.py\n+++ b/xarray/core/duck_array_ops.py\n@@ -303,19 +303,15 @@ def f(values, axis=None, skipna=None, **kwargs):\n try:\n return func(values, axis=axis, **kwargs)\n except AttributeError:\n- if isinstance(values, dask_array_type):\n- try: # dask/dask#3133 dask sometimes needs dtype argument\n- # if func does not accept dtype, then raises TypeError\n- return func(values, axis=axis, dtype=values.dtype, **kwargs)\n- except (AttributeError, TypeError):\n- msg = \"%s is not yet implemented on dask arrays\" % name\n- else:\n- msg = (\n- \"%s is not available with skipna=False with the \"\n- \"installed version of numpy; upgrade to numpy 1.12 \"\n- \"or newer to use skipna=True or skipna=None\" % name\n+ if not isinstance(values, dask_array_type):\n+ raise\n+ try: # dask/dask#3133 dask sometimes needs dtype argument\n+ # if func does not accept dtype, then raises TypeError\n+ return func(values, axis=axis, dtype=values.dtype, **kwargs)\n+ except (AttributeError, TypeError):\n+ raise NotImplementedError(\n+ f\"{name} is not yet implemented on dask arrays\"\n )\n- raise NotImplementedError(msg)\n \n f.__name__ = name\n return f\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex e23ff2f7e31..5b3e122bf72 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -4349,6 +4349,783 @@ def test_pad_reflect(self, mode, reflect_type):\n assert_identical(actual, expected)\n \n \n+class TestReduce:\n+ @pytest.fixture(autouse=True)\n+ def setup(self):\n+ self.attrs = {\"attr1\": \"value1\", \"attr2\": 2929}\n+\n+\n+@pytest.mark.parametrize(\n+ \"x, minindex, maxindex, nanindex\",\n+ [\n+ (np.array([0, 1, 2, 0, -2, -4, 2]), 5, 2, None),\n+ (np.array([0.0, 1.0, 2.0, 0.0, -2.0, -4.0, 2.0]), 5, 2, None),\n+ (np.array([1.0, np.NaN, 2.0, np.NaN, -2.0, -4.0, 2.0]), 5, 2, 1),\n+ (\n+ np.array([1.0, np.NaN, 2.0, np.NaN, -2.0, -4.0, 2.0]).astype(\"object\"),\n+ 5,\n+ 2,\n+ 1,\n+ ),\n+ (np.array([np.NaN, np.NaN]), np.NaN, np.NaN, 0),\n+ (\n+ np.array(\n+ [\"2015-12-31\", \"2020-01-02\", \"2020-01-01\", \"2016-01-01\"],\n+ dtype=\"datetime64[ns]\",\n+ ),\n+ 0,\n+ 1,\n+ None,\n+ ),\n+ ],\n+)\n+class TestReduce1D(TestReduce):\n+ def test_min(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x, dims=[\"x\"], coords={\"x\": np.arange(x.size) * 4}, attrs=self.attrs\n+ )\n+\n+ if np.isnan(minindex):\n+ minindex = 0\n+\n+ expected0 = ar.isel(x=minindex, drop=True)\n+ result0 = ar.min(keep_attrs=True)\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.min()\n+ expected1 = expected0.copy()\n+ expected1.attrs = {}\n+ assert_identical(result1, expected1)\n+\n+ result2 = ar.min(skipna=False)\n+ if nanindex is not None and ar.dtype.kind != \"O\":\n+ expected2 = ar.isel(x=nanindex, drop=True)\n+ expected2.attrs = {}\n+ else:\n+ expected2 = expected1\n+\n+ assert_identical(result2, expected2)\n+\n+ def test_max(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x, dims=[\"x\"], coords={\"x\": np.arange(x.size) * 4}, attrs=self.attrs\n+ )\n+\n+ if np.isnan(minindex):\n+ maxindex = 0\n+\n+ expected0 = ar.isel(x=maxindex, drop=True)\n+ result0 = ar.max(keep_attrs=True)\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.max()\n+ expected1 = expected0.copy()\n+ expected1.attrs = {}\n+ assert_identical(result1, expected1)\n+\n+ result2 = ar.max(skipna=False)\n+ if nanindex is not None and ar.dtype.kind != \"O\":\n+ expected2 = ar.isel(x=nanindex, drop=True)\n+ expected2.attrs = {}\n+ else:\n+ expected2 = expected1\n+\n+ assert_identical(result2, expected2)\n+\n+ def test_argmin(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x, dims=[\"x\"], coords={\"x\": np.arange(x.size) * 4}, attrs=self.attrs\n+ )\n+ indarr = xr.DataArray(np.arange(x.size, dtype=np.intp), dims=[\"x\"])\n+\n+ if np.isnan(minindex):\n+ with pytest.raises(ValueError):\n+ ar.argmin()\n+ return\n+\n+ expected0 = indarr[minindex]\n+ result0 = ar.argmin()\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.argmin(keep_attrs=True)\n+ expected1 = expected0.copy()\n+ expected1.attrs = self.attrs\n+ assert_identical(result1, expected1)\n+\n+ result2 = ar.argmin(skipna=False)\n+ if nanindex is not None and ar.dtype.kind != \"O\":\n+ expected2 = indarr.isel(x=nanindex, drop=True)\n+ expected2.attrs = {}\n+ else:\n+ expected2 = expected0\n+\n+ assert_identical(result2, expected2)\n+\n+ def test_argmax(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x, dims=[\"x\"], coords={\"x\": np.arange(x.size) * 4}, attrs=self.attrs\n+ )\n+ indarr = xr.DataArray(np.arange(x.size, dtype=np.intp), dims=[\"x\"])\n+\n+ if np.isnan(maxindex):\n+ with pytest.raises(ValueError):\n+ ar.argmax()\n+ return\n+\n+ expected0 = indarr[maxindex]\n+ result0 = ar.argmax()\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.argmax(keep_attrs=True)\n+ expected1 = expected0.copy()\n+ expected1.attrs = self.attrs\n+ assert_identical(result1, expected1)\n+\n+ result2 = ar.argmax(skipna=False)\n+ if nanindex is not None and ar.dtype.kind != \"O\":\n+ expected2 = indarr.isel(x=nanindex, drop=True)\n+ expected2.attrs = {}\n+ else:\n+ expected2 = expected0\n+\n+ assert_identical(result2, expected2)\n+\n+ def test_idxmin(self, x, minindex, maxindex, nanindex):\n+ ar0 = xr.DataArray(\n+ x, dims=[\"x\"], coords={\"x\": np.arange(x.size) * 4}, attrs=self.attrs,\n+ )\n+\n+ # dim doesn't exist\n+ with pytest.raises(KeyError):\n+ ar0.idxmin(dim=\"spam\")\n+\n+ # Scalar Dataarray\n+ with pytest.raises(ValueError):\n+ xr.DataArray(5).idxmin()\n+\n+ coordarr0 = xr.DataArray(ar0.coords[\"x\"], dims=[\"x\"])\n+ coordarr1 = coordarr0.copy()\n+\n+ hasna = np.isnan(minindex)\n+ if np.isnan(minindex):\n+ minindex = 0\n+\n+ if hasna:\n+ coordarr1[...] = 1\n+ fill_value_0 = np.NaN\n+ else:\n+ fill_value_0 = 1\n+\n+ expected0 = (\n+ (coordarr1 * fill_value_0).isel(x=minindex, drop=True).astype(\"float\")\n+ )\n+ expected0.name = \"x\"\n+\n+ # Default fill value (NaN)\n+ result0 = ar0.idxmin()\n+ assert_identical(result0, expected0)\n+\n+ # Manually specify NaN fill_value\n+ result1 = ar0.idxmin(fill_value=np.NaN)\n+ assert_identical(result1, expected0)\n+\n+ # keep_attrs\n+ result2 = ar0.idxmin(keep_attrs=True)\n+ expected2 = expected0.copy()\n+ expected2.attrs = self.attrs\n+ assert_identical(result2, expected2)\n+\n+ # skipna=False\n+ if nanindex is not None and ar0.dtype.kind != \"O\":\n+ expected3 = coordarr0.isel(x=nanindex, drop=True).astype(\"float\")\n+ expected3.name = \"x\"\n+ expected3.attrs = {}\n+ else:\n+ expected3 = expected0.copy()\n+\n+ result3 = ar0.idxmin(skipna=False)\n+ assert_identical(result3, expected3)\n+\n+ # fill_value should be ignored with skipna=False\n+ result4 = ar0.idxmin(skipna=False, fill_value=-100j)\n+ assert_identical(result4, expected3)\n+\n+ # Float fill_value\n+ if hasna:\n+ fill_value_5 = -1.1\n+ else:\n+ fill_value_5 = 1\n+\n+ expected5 = (coordarr1 * fill_value_5).isel(x=minindex, drop=True)\n+ expected5.name = \"x\"\n+\n+ result5 = ar0.idxmin(fill_value=-1.1)\n+ assert_identical(result5, expected5)\n+\n+ # Integer fill_value\n+ if hasna:\n+ fill_value_6 = -1\n+ else:\n+ fill_value_6 = 1\n+\n+ expected6 = (coordarr1 * fill_value_6).isel(x=minindex, drop=True)\n+ expected6.name = \"x\"\n+\n+ result6 = ar0.idxmin(fill_value=-1)\n+ assert_identical(result6, expected6)\n+\n+ # Complex fill_value\n+ if hasna:\n+ fill_value_7 = -1j\n+ else:\n+ fill_value_7 = 1\n+\n+ expected7 = (coordarr1 * fill_value_7).isel(x=minindex, drop=True)\n+ expected7.name = \"x\"\n+\n+ result7 = ar0.idxmin(fill_value=-1j)\n+ assert_identical(result7, expected7)\n+\n+ def test_idxmax(self, x, minindex, maxindex, nanindex):\n+ ar0 = xr.DataArray(\n+ x, dims=[\"x\"], coords={\"x\": np.arange(x.size) * 4}, attrs=self.attrs,\n+ )\n+\n+ # dim doesn't exist\n+ with pytest.raises(KeyError):\n+ ar0.idxmax(dim=\"spam\")\n+\n+ # Scalar Dataarray\n+ with pytest.raises(ValueError):\n+ xr.DataArray(5).idxmax()\n+\n+ coordarr0 = xr.DataArray(ar0.coords[\"x\"], dims=[\"x\"])\n+ coordarr1 = coordarr0.copy()\n+\n+ hasna = np.isnan(maxindex)\n+ if np.isnan(maxindex):\n+ maxindex = 0\n+\n+ if hasna:\n+ coordarr1[...] = 1\n+ fill_value_0 = np.NaN\n+ else:\n+ fill_value_0 = 1\n+\n+ expected0 = (\n+ (coordarr1 * fill_value_0).isel(x=maxindex, drop=True).astype(\"float\")\n+ )\n+ expected0.name = \"x\"\n+\n+ # Default fill value (NaN)\n+ result0 = ar0.idxmax()\n+ assert_identical(result0, expected0)\n+\n+ # Manually specify NaN fill_value\n+ result1 = ar0.idxmax(fill_value=np.NaN)\n+ assert_identical(result1, expected0)\n+\n+ # keep_attrs\n+ result2 = ar0.idxmax(keep_attrs=True)\n+ expected2 = expected0.copy()\n+ expected2.attrs = self.attrs\n+ assert_identical(result2, expected2)\n+\n+ # skipna=False\n+ if nanindex is not None and ar0.dtype.kind != \"O\":\n+ expected3 = coordarr0.isel(x=nanindex, drop=True).astype(\"float\")\n+ expected3.name = \"x\"\n+ expected3.attrs = {}\n+ else:\n+ expected3 = expected0.copy()\n+\n+ result3 = ar0.idxmax(skipna=False)\n+ assert_identical(result3, expected3)\n+\n+ # fill_value should be ignored with skipna=False\n+ result4 = ar0.idxmax(skipna=False, fill_value=-100j)\n+ assert_identical(result4, expected3)\n+\n+ # Float fill_value\n+ if hasna:\n+ fill_value_5 = -1.1\n+ else:\n+ fill_value_5 = 1\n+\n+ expected5 = (coordarr1 * fill_value_5).isel(x=maxindex, drop=True)\n+ expected5.name = \"x\"\n+\n+ result5 = ar0.idxmax(fill_value=-1.1)\n+ assert_identical(result5, expected5)\n+\n+ # Integer fill_value\n+ if hasna:\n+ fill_value_6 = -1\n+ else:\n+ fill_value_6 = 1\n+\n+ expected6 = (coordarr1 * fill_value_6).isel(x=maxindex, drop=True)\n+ expected6.name = \"x\"\n+\n+ result6 = ar0.idxmax(fill_value=-1)\n+ assert_identical(result6, expected6)\n+\n+ # Complex fill_value\n+ if hasna:\n+ fill_value_7 = -1j\n+ else:\n+ fill_value_7 = 1\n+\n+ expected7 = (coordarr1 * fill_value_7).isel(x=maxindex, drop=True)\n+ expected7.name = \"x\"\n+\n+ result7 = ar0.idxmax(fill_value=-1j)\n+ assert_identical(result7, expected7)\n+\n+\n+@pytest.mark.parametrize(\n+ \"x, minindex, maxindex, nanindex\",\n+ [\n+ (\n+ np.array(\n+ [\n+ [0, 1, 2, 0, -2, -4, 2],\n+ [1, 1, 1, 1, 1, 1, 1],\n+ [0, 0, -10, 5, 20, 0, 0],\n+ ]\n+ ),\n+ [5, 0, 2],\n+ [2, 0, 4],\n+ [None, None, None],\n+ ),\n+ (\n+ np.array(\n+ [\n+ [2.0, 1.0, 2.0, 0.0, -2.0, -4.0, 2.0],\n+ [-4.0, np.NaN, 2.0, np.NaN, -2.0, -4.0, 2.0],\n+ [np.NaN] * 7,\n+ ]\n+ ),\n+ [5, 0, np.NaN],\n+ [0, 2, np.NaN],\n+ [None, 1, 0],\n+ ),\n+ (\n+ np.array(\n+ [\n+ [2.0, 1.0, 2.0, 0.0, -2.0, -4.0, 2.0],\n+ [-4.0, np.NaN, 2.0, np.NaN, -2.0, -4.0, 2.0],\n+ [np.NaN] * 7,\n+ ]\n+ ).astype(\"object\"),\n+ [5, 0, np.NaN],\n+ [0, 2, np.NaN],\n+ [None, 1, 0],\n+ ),\n+ (\n+ np.array(\n+ [\n+ [\"2015-12-31\", \"2020-01-02\", \"2020-01-01\", \"2016-01-01\"],\n+ [\"2020-01-02\", \"2020-01-02\", \"2020-01-02\", \"2020-01-02\"],\n+ [\"1900-01-01\", \"1-02-03\", \"1900-01-02\", \"1-02-03\"],\n+ ],\n+ dtype=\"datetime64[ns]\",\n+ ),\n+ [0, 0, 1],\n+ [1, 0, 2],\n+ [None, None, None],\n+ ),\n+ ],\n+)\n+class TestReduce2D(TestReduce):\n+ def test_min(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x,\n+ dims=[\"y\", \"x\"],\n+ coords={\"x\": np.arange(x.shape[1]) * 4, \"y\": 1 - np.arange(x.shape[0])},\n+ attrs=self.attrs,\n+ )\n+\n+ minindex = [x if not np.isnan(x) else 0 for x in minindex]\n+ expected0 = [\n+ ar.isel(y=yi).isel(x=indi, drop=True) for yi, indi in enumerate(minindex)\n+ ]\n+ expected0 = xr.concat(expected0, dim=\"y\")\n+\n+ result0 = ar.min(dim=\"x\", keep_attrs=True)\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.min(dim=\"x\")\n+ expected1 = expected0\n+ expected1.attrs = {}\n+ assert_identical(result1, expected1)\n+\n+ result2 = ar.min(axis=1)\n+ assert_identical(result2, expected1)\n+\n+ minindex = [\n+ x if y is None or ar.dtype.kind == \"O\" else y\n+ for x, y in zip(minindex, nanindex)\n+ ]\n+ expected2 = [\n+ ar.isel(y=yi).isel(x=indi, drop=True) for yi, indi in enumerate(minindex)\n+ ]\n+ expected2 = xr.concat(expected2, dim=\"y\")\n+ expected2.attrs = {}\n+\n+ result3 = ar.min(dim=\"x\", skipna=False)\n+\n+ assert_identical(result3, expected2)\n+\n+ def test_max(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x,\n+ dims=[\"y\", \"x\"],\n+ coords={\"x\": np.arange(x.shape[1]) * 4, \"y\": 1 - np.arange(x.shape[0])},\n+ attrs=self.attrs,\n+ )\n+\n+ maxindex = [x if not np.isnan(x) else 0 for x in maxindex]\n+ expected0 = [\n+ ar.isel(y=yi).isel(x=indi, drop=True) for yi, indi in enumerate(maxindex)\n+ ]\n+ expected0 = xr.concat(expected0, dim=\"y\")\n+\n+ result0 = ar.max(dim=\"x\", keep_attrs=True)\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.max(dim=\"x\")\n+ expected1 = expected0.copy()\n+ expected1.attrs = {}\n+ assert_identical(result1, expected1)\n+\n+ result2 = ar.max(axis=1)\n+ assert_identical(result2, expected1)\n+\n+ maxindex = [\n+ x if y is None or ar.dtype.kind == \"O\" else y\n+ for x, y in zip(maxindex, nanindex)\n+ ]\n+ expected2 = [\n+ ar.isel(y=yi).isel(x=indi, drop=True) for yi, indi in enumerate(maxindex)\n+ ]\n+ expected2 = xr.concat(expected2, dim=\"y\")\n+ expected2.attrs = {}\n+\n+ result3 = ar.max(dim=\"x\", skipna=False)\n+\n+ assert_identical(result3, expected2)\n+\n+ def test_argmin(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x,\n+ dims=[\"y\", \"x\"],\n+ coords={\"x\": np.arange(x.shape[1]) * 4, \"y\": 1 - np.arange(x.shape[0])},\n+ attrs=self.attrs,\n+ )\n+ indarr = np.tile(np.arange(x.shape[1], dtype=np.intp), [x.shape[0], 1])\n+ indarr = xr.DataArray(indarr, dims=ar.dims, coords=ar.coords)\n+\n+ if np.isnan(minindex).any():\n+ with pytest.raises(ValueError):\n+ ar.argmin(dim=\"x\")\n+ return\n+\n+ expected0 = [\n+ indarr.isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(minindex)\n+ ]\n+ expected0 = xr.concat(expected0, dim=\"y\")\n+\n+ result0 = ar.argmin(dim=\"x\")\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.argmin(axis=1)\n+ assert_identical(result1, expected0)\n+\n+ result2 = ar.argmin(dim=\"x\", keep_attrs=True)\n+ expected1 = expected0.copy()\n+ expected1.attrs = self.attrs\n+ assert_identical(result2, expected1)\n+\n+ minindex = [\n+ x if y is None or ar.dtype.kind == \"O\" else y\n+ for x, y in zip(minindex, nanindex)\n+ ]\n+ expected2 = [\n+ indarr.isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(minindex)\n+ ]\n+ expected2 = xr.concat(expected2, dim=\"y\")\n+ expected2.attrs = {}\n+\n+ result3 = ar.argmin(dim=\"x\", skipna=False)\n+\n+ assert_identical(result3, expected2)\n+\n+ def test_argmax(self, x, minindex, maxindex, nanindex):\n+ ar = xr.DataArray(\n+ x,\n+ dims=[\"y\", \"x\"],\n+ coords={\"x\": np.arange(x.shape[1]) * 4, \"y\": 1 - np.arange(x.shape[0])},\n+ attrs=self.attrs,\n+ )\n+ indarr = np.tile(np.arange(x.shape[1], dtype=np.intp), [x.shape[0], 1])\n+ indarr = xr.DataArray(indarr, dims=ar.dims, coords=ar.coords)\n+\n+ if np.isnan(maxindex).any():\n+ with pytest.raises(ValueError):\n+ ar.argmax(dim=\"x\")\n+ return\n+\n+ expected0 = [\n+ indarr.isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(maxindex)\n+ ]\n+ expected0 = xr.concat(expected0, dim=\"y\")\n+\n+ result0 = ar.argmax(dim=\"x\")\n+ assert_identical(result0, expected0)\n+\n+ result1 = ar.argmax(axis=1)\n+ assert_identical(result1, expected0)\n+\n+ result2 = ar.argmax(dim=\"x\", keep_attrs=True)\n+ expected1 = expected0.copy()\n+ expected1.attrs = self.attrs\n+ assert_identical(result2, expected1)\n+\n+ maxindex = [\n+ x if y is None or ar.dtype.kind == \"O\" else y\n+ for x, y in zip(maxindex, nanindex)\n+ ]\n+ expected2 = [\n+ indarr.isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(maxindex)\n+ ]\n+ expected2 = xr.concat(expected2, dim=\"y\")\n+ expected2.attrs = {}\n+\n+ result3 = ar.argmax(dim=\"x\", skipna=False)\n+\n+ assert_identical(result3, expected2)\n+\n+ def test_idxmin(self, x, minindex, maxindex, nanindex):\n+ ar0 = xr.DataArray(\n+ x,\n+ dims=[\"y\", \"x\"],\n+ coords={\"x\": np.arange(x.shape[1]) * 4, \"y\": 1 - np.arange(x.shape[0])},\n+ attrs=self.attrs,\n+ )\n+\n+ assert_identical(ar0, ar0)\n+\n+ # No dimension specified\n+ with pytest.raises(ValueError):\n+ ar0.idxmin()\n+\n+ # dim doesn't exist\n+ with pytest.raises(KeyError):\n+ ar0.idxmin(dim=\"Y\")\n+\n+ assert_identical(ar0, ar0)\n+\n+ coordarr0 = xr.DataArray(\n+ np.tile(ar0.coords[\"x\"], [x.shape[0], 1]), dims=ar0.dims, coords=ar0.coords\n+ )\n+\n+ hasna = [np.isnan(x) for x in minindex]\n+ coordarr1 = coordarr0.copy()\n+ coordarr1[hasna, :] = 1\n+ minindex0 = [x if not np.isnan(x) else 0 for x in minindex]\n+\n+ nan_mult_0 = np.array([np.NaN if x else 1 for x in hasna])[:, None]\n+ expected0 = [\n+ (coordarr1 * nan_mult_0).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(minindex0)\n+ ]\n+ expected0 = xr.concat(expected0, dim=\"y\")\n+ expected0.name = \"x\"\n+\n+ # Default fill value (NaN)\n+ result0 = ar0.idxmin(dim=\"x\")\n+ assert_identical(result0, expected0)\n+\n+ # Manually specify NaN fill_value\n+ result1 = ar0.idxmin(dim=\"x\", fill_value=np.NaN)\n+ assert_identical(result1, expected0)\n+\n+ # keep_attrs\n+ result2 = ar0.idxmin(dim=\"x\", keep_attrs=True)\n+ expected2 = expected0.copy()\n+ expected2.attrs = self.attrs\n+ assert_identical(result2, expected2)\n+\n+ # skipna=False\n+ minindex3 = [\n+ x if y is None or ar0.dtype.kind == \"O\" else y\n+ for x, y in zip(minindex0, nanindex)\n+ ]\n+ expected3 = [\n+ coordarr0.isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(minindex3)\n+ ]\n+ expected3 = xr.concat(expected3, dim=\"y\")\n+ expected3.name = \"x\"\n+ expected3.attrs = {}\n+\n+ result3 = ar0.idxmin(dim=\"x\", skipna=False)\n+ assert_identical(result3, expected3)\n+\n+ # fill_value should be ignored with skipna=False\n+ result4 = ar0.idxmin(dim=\"x\", skipna=False, fill_value=-100j)\n+ assert_identical(result4, expected3)\n+\n+ # Float fill_value\n+ nan_mult_5 = np.array([-1.1 if x else 1 for x in hasna])[:, None]\n+ expected5 = [\n+ (coordarr1 * nan_mult_5).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(minindex0)\n+ ]\n+ expected5 = xr.concat(expected5, dim=\"y\")\n+ expected5.name = \"x\"\n+\n+ result5 = ar0.idxmin(dim=\"x\", fill_value=-1.1)\n+ assert_identical(result5, expected5)\n+\n+ # Integer fill_value\n+ nan_mult_6 = np.array([-1 if x else 1 for x in hasna])[:, None]\n+ expected6 = [\n+ (coordarr1 * nan_mult_6).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(minindex0)\n+ ]\n+ expected6 = xr.concat(expected6, dim=\"y\")\n+ expected6.name = \"x\"\n+\n+ result6 = ar0.idxmin(dim=\"x\", fill_value=-1)\n+ assert_identical(result6, expected6)\n+\n+ # Complex fill_value\n+ nan_mult_7 = np.array([-5j if x else 1 for x in hasna])[:, None]\n+ expected7 = [\n+ (coordarr1 * nan_mult_7).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(minindex0)\n+ ]\n+ expected7 = xr.concat(expected7, dim=\"y\")\n+ expected7.name = \"x\"\n+\n+ result7 = ar0.idxmin(dim=\"x\", fill_value=-5j)\n+ assert_identical(result7, expected7)\n+\n+ def test_idxmax(self, x, minindex, maxindex, nanindex):\n+ ar0 = xr.DataArray(\n+ x,\n+ dims=[\"y\", \"x\"],\n+ coords={\"x\": np.arange(x.shape[1]) * 4, \"y\": 1 - np.arange(x.shape[0])},\n+ attrs=self.attrs,\n+ )\n+\n+ # No dimension specified\n+ with pytest.raises(ValueError):\n+ ar0.idxmax()\n+\n+ # dim doesn't exist\n+ with pytest.raises(KeyError):\n+ ar0.idxmax(dim=\"Y\")\n+\n+ ar1 = ar0.copy()\n+ del ar1.coords[\"y\"]\n+ with pytest.raises(KeyError):\n+ ar1.idxmax(dim=\"y\")\n+\n+ coordarr0 = xr.DataArray(\n+ np.tile(ar0.coords[\"x\"], [x.shape[0], 1]), dims=ar0.dims, coords=ar0.coords\n+ )\n+\n+ hasna = [np.isnan(x) for x in maxindex]\n+ coordarr1 = coordarr0.copy()\n+ coordarr1[hasna, :] = 1\n+ maxindex0 = [x if not np.isnan(x) else 0 for x in maxindex]\n+\n+ nan_mult_0 = np.array([np.NaN if x else 1 for x in hasna])[:, None]\n+ expected0 = [\n+ (coordarr1 * nan_mult_0).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(maxindex0)\n+ ]\n+ expected0 = xr.concat(expected0, dim=\"y\")\n+ expected0.name = \"x\"\n+\n+ # Default fill value (NaN)\n+ result0 = ar0.idxmax(dim=\"x\")\n+ assert_identical(result0, expected0)\n+\n+ # Manually specify NaN fill_value\n+ result1 = ar0.idxmax(dim=\"x\", fill_value=np.NaN)\n+ assert_identical(result1, expected0)\n+\n+ # keep_attrs\n+ result2 = ar0.idxmax(dim=\"x\", keep_attrs=True)\n+ expected2 = expected0.copy()\n+ expected2.attrs = self.attrs\n+ assert_identical(result2, expected2)\n+\n+ # skipna=False\n+ maxindex3 = [\n+ x if y is None or ar0.dtype.kind == \"O\" else y\n+ for x, y in zip(maxindex0, nanindex)\n+ ]\n+ expected3 = [\n+ coordarr0.isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(maxindex3)\n+ ]\n+ expected3 = xr.concat(expected3, dim=\"y\")\n+ expected3.name = \"x\"\n+ expected3.attrs = {}\n+\n+ result3 = ar0.idxmax(dim=\"x\", skipna=False)\n+ assert_identical(result3, expected3)\n+\n+ # fill_value should be ignored with skipna=False\n+ result4 = ar0.idxmax(dim=\"x\", skipna=False, fill_value=-100j)\n+ assert_identical(result4, expected3)\n+\n+ # Float fill_value\n+ nan_mult_5 = np.array([-1.1 if x else 1 for x in hasna])[:, None]\n+ expected5 = [\n+ (coordarr1 * nan_mult_5).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(maxindex0)\n+ ]\n+ expected5 = xr.concat(expected5, dim=\"y\")\n+ expected5.name = \"x\"\n+\n+ result5 = ar0.idxmax(dim=\"x\", fill_value=-1.1)\n+ assert_identical(result5, expected5)\n+\n+ # Integer fill_value\n+ nan_mult_6 = np.array([-1 if x else 1 for x in hasna])[:, None]\n+ expected6 = [\n+ (coordarr1 * nan_mult_6).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(maxindex0)\n+ ]\n+ expected6 = xr.concat(expected6, dim=\"y\")\n+ expected6.name = \"x\"\n+\n+ result6 = ar0.idxmax(dim=\"x\", fill_value=-1)\n+ assert_identical(result6, expected6)\n+\n+ # Complex fill_value\n+ nan_mult_7 = np.array([-5j if x else 1 for x in hasna])[:, None]\n+ expected7 = [\n+ (coordarr1 * nan_mult_7).isel(y=yi).isel(x=indi, drop=True)\n+ for yi, indi in enumerate(maxindex0)\n+ ]\n+ expected7 = xr.concat(expected7, dim=\"y\")\n+ expected7.name = \"x\"\n+\n+ result7 = ar0.idxmax(dim=\"x\", fill_value=-5j)\n+ assert_identical(result7, expected7)\n+\n+\n @pytest.fixture(params=[1])\n def da(request):\n if request.param == 1:\n@@ -4974,3 +5751,28 @@ def test_weakref():\n a = DataArray(1)\n r = ref(a)\n assert r() is a\n+\n+\n+def test_delete_coords():\n+ \"\"\"Make sure that deleting a coordinate doesn't corrupt the DataArray.\n+ See issue #3899.\n+\n+ Also test that deleting succeeds and produces the expected output.\n+ \"\"\"\n+ a0 = DataArray(\n+ np.array([[1, 2, 3], [4, 5, 6]]),\n+ dims=[\"y\", \"x\"],\n+ coords={\"x\": [\"a\", \"b\", \"c\"], \"y\": [-1, 1]},\n+ )\n+ assert_identical(a0, a0)\n+\n+ a1 = a0.copy()\n+ del a1.coords[\"y\"]\n+\n+ # This test will detect certain sorts of corruption in the DataArray\n+ assert_identical(a0, a0)\n+\n+ assert a0.dims == (\"y\", \"x\")\n+ assert a1.dims == (\"y\", \"x\")\n+ assert set(a0.coords.keys()) == {\"x\", \"y\"}\n+ assert set(a1.coords.keys()) == {\"x\"}\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 02698253e5d..237c315583c 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -4584,6 +4584,7 @@ def test_reduce_non_numeric(self):\n def test_reduce_strings(self):\n expected = Dataset({\"x\": \"a\"})\n ds = Dataset({\"x\": (\"y\", [\"a\", \"b\"])})\n+ ds.coords[\"y\"] = [-10, 10]\n actual = ds.min()\n assert_identical(expected, actual)\n \n@@ -4599,6 +4600,14 @@ def test_reduce_strings(self):\n actual = ds.argmax()\n assert_identical(expected, actual)\n \n+ expected = Dataset({\"x\": -10})\n+ actual = ds.idxmin()\n+ assert_identical(expected, actual)\n+\n+ expected = Dataset({\"x\": 10})\n+ actual = ds.idxmax()\n+ assert_identical(expected, actual)\n+\n expected = Dataset({\"x\": b\"a\"})\n ds = Dataset({\"x\": (\"y\", np.array([\"a\", \"b\"], \"S1\"))})\n actual = ds.min()\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex 216f47f988f..b37c84e7a81 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -180,6 +180,8 @@ Computation\n :py:attr:`~Dataset.any`\n :py:attr:`~Dataset.argmax`\n :py:attr:`~Dataset.argmin`\n+:py:attr:`~Dataset.idxmax`\n+:py:attr:`~Dataset.idxmin`\n :py:attr:`~Dataset.max`\n :py:attr:`~Dataset.mean`\n :py:attr:`~Dataset.median`\n@@ -362,6 +364,8 @@ Computation\n :py:attr:`~DataArray.any`\n :py:attr:`~DataArray.argmax`\n :py:attr:`~DataArray.argmin`\n+:py:attr:`~DataArray.idxmax`\n+:py:attr:`~DataArray.idxmin`\n :py:attr:`~DataArray.max`\n :py:attr:`~DataArray.mean`\n :py:attr:`~DataArray.median`\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 39aaa0e4fd3..c70dfd4f3f6 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -38,10 +38,16 @@ New Features\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`3900`)\n By `Maximilian Roos <https://github.com/max-sixty>`_\n+- Implement :py:meth:`DataArray.idxmax`, :py:meth:`DataArray.idxmin`,\n+ :py:meth:`Dataset.idxmax`, :py:meth:`Dataset.idxmin`. (:issue:`60`, :pull:`3871`)\n+ By `Todd Jennings <https://github.com/toddrjen>`_\n \n \n Bug fixes\n ~~~~~~~~~\n+- Fix a regression where deleting a coordinate from a copied :py:class:`DataArray`\n+ can affect the original :py:class:`Dataarray`. (:issue:`3899`, :pull:`3871`)\n+ By `Todd Jennings <https://github.com/toddrjen>`_\n \n \n Documentation\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 216f47f988f..b37c84e7a81 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -180,6 +180,8 @@ Computation\\n :py:attr:`~Dataset.any`\\n :py:attr:`~Dataset.argmax`\\n :py:attr:`~Dataset.argmin`\\n+:py:attr:`~Dataset.idxmax`\\n+:py:attr:`~Dataset.idxmin`\\n :py:attr:`~Dataset.max`\\n :py:attr:`~Dataset.mean`\\n :py:attr:`~Dataset.median`\\n@@ -362,6 +364,8 @@ Computation\\n :py:attr:`~DataArray.any`\\n :py:attr:`~DataArray.argmax`\\n :py:attr:`~DataArray.argmin`\\n+:py:attr:`~DataArray.idxmax`\\n+:py:attr:`~DataArray.idxmin`\\n :py:attr:`~DataArray.max`\\n :py:attr:`~DataArray.mean`\\n :py:attr:`~DataArray.median`\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 39aaa0e4fd3..c70dfd4f3f6 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -38,10 +38,16 @@ New Features\\n - Limited the length of array items with long string reprs to a\\n reasonable width (:pull:`3900`)\\n By `Maximilian Roos <https://github.com/max-sixty>`_\\n+- Implement :py:meth:`DataArray.idxmax`, :py:meth:`DataArray.idxmin`,\\n+ :py:meth:`Dataset.idxmax`, :py:meth:`Dataset.idxmin`. (:issue:`60`, :pull:`3871`)\\n+ By `Todd Jennings <https://github.com/toddrjen>`_\\n \\n \\n Bug fixes\\n ~~~~~~~~~\\n+- Fix a regression where deleting a coordinate from a copied :py:class:`DataArray`\\n+ can affect the original :py:class:`Dataarray`. (:issue:`3899`, :pull:`3871`)\\n+ By `Todd Jennings <https://github.com/toddrjen>`_\\n \\n \\n Documentation\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"ca6bb8561f2977509fc5bf53eae0efd080c0a952"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataarray.py::test_delete_coords\",\n \"xarray/tests/test_dataset.py::TestDataset::test_reduce_strings\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmin[x2-5-2-1]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmax[x4-nan-nan-0]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmin[x3-5-2-1]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmin[x1-5-2-None]\",\n \"xarray/tests/test_dataarray.py::TestReduce2D::test_idxmin[x1-minindex1-maxindex1-nanindex1]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmax[x3-5-2-1]\",\n \"xarray/tests/test_dataarray.py::TestReduce2D::test_idxmin[x3-minindex3-maxindex3-nanindex3]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmax[x0-5-2-None]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmin[x5-0-1-None]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex 216f47f988f..b37c84e7a81 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -180,6 +180,8 @@ Computation\n :py:attr:`~Dataset.any`\n :py:attr:`~Dataset.argmax`\n :py:attr:`~Dataset.argmin`\n+:py:attr:`~Dataset.idxmax`\n+:py:attr:`~Dataset.idxmin`\n :py:attr:`~Dataset.max`\n :py:attr:`~Dataset.mean`\n :py:attr:`~Dataset.median`\n@@ -362,6 +364,8 @@ Computation\n :py:attr:`~DataArray.any`\n :py:attr:`~DataArray.argmax`\n :py:attr:`~DataArray.argmin`\n+:py:attr:`~DataArray.idxmax`\n+:py:attr:`~DataArray.idxmin`\n :py:attr:`~DataArray.max`\n :py:attr:`~DataArray.mean`\n :py:attr:`~DataArray.median`\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 39aaa0e4fd3..c70dfd4f3f6 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -38,10 +38,16 @@ New Features\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`<PRID>`)\n By `<NAME>`_\n+- Implement :py:meth:`DataArray.idxmax`, :py:meth:`DataArray.idxmin`,\n+ :py:meth:`Dataset.idxmax`, :py:meth:`Dataset.idxmin`. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n \n \n Bug fixes\n ~~~~~~~~~\n+- Fix a regression where deleting a coordinate from a copied :py:class:`DataArray`\n+ can affect the original :py:class:`Dataarray`. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n \n \n Documentation\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 216f47f988f..b37c84e7a81 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -180,6 +180,8 @@ Computation\\n :py:attr:`~Dataset.any`\\n :py:attr:`~Dataset.argmax`\\n :py:attr:`~Dataset.argmin`\\n+:py:attr:`~Dataset.idxmax`\\n+:py:attr:`~Dataset.idxmin`\\n :py:attr:`~Dataset.max`\\n :py:attr:`~Dataset.mean`\\n :py:attr:`~Dataset.median`\\n@@ -362,6 +364,8 @@ Computation\\n :py:attr:`~DataArray.any`\\n :py:attr:`~DataArray.argmax`\\n :py:attr:`~DataArray.argmin`\\n+:py:attr:`~DataArray.idxmax`\\n+:py:attr:`~DataArray.idxmin`\\n :py:attr:`~DataArray.max`\\n :py:attr:`~DataArray.mean`\\n :py:attr:`~DataArray.median`\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 39aaa0e4fd3..c70dfd4f3f6 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -38,10 +38,16 @@ New Features\\n - Limited the length of array items with long string reprs to a\\n reasonable width (:pull:`<PRID>`)\\n By `<NAME>`_\\n+- Implement :py:meth:`DataArray.idxmax`, :py:meth:`DataArray.idxmin`,\\n+ :py:meth:`Dataset.idxmax`, :py:meth:`Dataset.idxmin`. (:issue:`<PRID>`, :pull:`<PRID>`)\\n+ By `<NAME>`_\\n \\n \\n Bug fixes\\n ~~~~~~~~~\\n+- Fix a regression where deleting a coordinate from a copied :py:class:`DataArray`\\n+ can affect the original :py:class:`Dataarray`. (:issue:`<PRID>`, :pull:`<PRID>`)\\n+ By `<NAME>`_\\n \\n \\n Documentation\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex 216f47f988f..b37c84e7a81 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -180,6 +180,8 @@ Computation\n :py:attr:`~Dataset.any`\n :py:attr:`~Dataset.argmax`\n :py:attr:`~Dataset.argmin`\n+:py:attr:`~Dataset.idxmax`\n+:py:attr:`~Dataset.idxmin`\n :py:attr:`~Dataset.max`\n :py:attr:`~Dataset.mean`\n :py:attr:`~Dataset.median`\n@@ -362,6 +364,8 @@ Computation\n :py:attr:`~DataArray.any`\n :py:attr:`~DataArray.argmax`\n :py:attr:`~DataArray.argmin`\n+:py:attr:`~DataArray.idxmax`\n+:py:attr:`~DataArray.idxmin`\n :py:attr:`~DataArray.max`\n :py:attr:`~DataArray.mean`\n :py:attr:`~DataArray.median`\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 39aaa0e4fd3..c70dfd4f3f6 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -38,10 +38,16 @@ New Features\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`<PRID>`)\n By `<NAME>`_\n+- Implement :py:meth:`DataArray.idxmax`, :py:meth:`DataArray.idxmin`,\n+ :py:meth:`Dataset.idxmax`, :py:meth:`Dataset.idxmin`. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n \n \n Bug fixes\n ~~~~~~~~~\n+- Fix a regression where deleting a coordinate from a copied :py:class:`DataArray`\n+ can affect the original :py:class:`Dataarray`. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n \n \n Documentation\n\n"}}},{"rowIdx":589,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3802"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3802"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 6a5491e34dd..1deb77eecfc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,7 +30,11 @@ New Features\n By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.\n - implement pint support. (:issue:`3594`, :pull:`3706`)\n By `Justus Magin <https://github.com/keewis>`_.\n-\n+- :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n+ `TypeError` on multiple string arguments. Receiving multiple string arguments\n+ often means a user is attempting to pass multiple dimensions to group over\n+ and should instead pass a list.\n+ By `Maximilian Roos <https://github.com/max-sixty>`_\n \n Bug fixes\n ~~~~~~~~~\ndiff --git a/xarray/core/common.py b/xarray/core/common.py\nindex e908c69dd14..582ae310061 100644\n--- a/xarray/core/common.py\n+++ b/xarray/core/common.py\n@@ -660,6 +660,17 @@ def groupby(self, group, squeeze: bool = True, restore_coord_dims: bool = None):\n core.groupby.DataArrayGroupBy\n core.groupby.DatasetGroupBy\n \"\"\"\n+ # While we don't generally check the type of every arg, passing\n+ # multiple dimensions as multiple arguments is common enough, and the\n+ # consequences hidden enough (strings evaluate as true) to warrant\n+ # checking here.\n+ # A future version could make squeeze kwarg only, but would face\n+ # backward-compat issues.\n+ if not isinstance(squeeze, bool):\n+ raise TypeError(\n+ f\"`squeeze` must be True or False, but {squeeze} was supplied\"\n+ )\n+\n return self._groupby_cls(\n self, group, squeeze=squeeze, restore_coord_dims=restore_coord_dims\n )\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_groupby.py b/xarray/tests/test_groupby.py\nindex 97bd31ae050..77558e741be 100644\n--- a/xarray/tests/test_groupby.py\n+++ b/xarray/tests/test_groupby.py\n@@ -483,6 +483,11 @@ def test_groupby_reduce_dimension_error(array):\n assert_allclose(array.mean([\"x\", \"z\"]), grouped.reduce(np.mean, [\"x\", \"z\"]))\n \n \n+def test_groupby_multiple_string_args(array):\n+ with pytest.raises(TypeError):\n+ array.groupby(\"x\", \"y\")\n+\n+\n def test_groupby_bins_timeseries():\n ds = xr.Dataset()\n ds[\"time\"] = xr.DataArray(\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 6a5491e34dd..1deb77eecfc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,7 +30,11 @@ New Features\n By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.\n - implement pint support. (:issue:`3594`, :pull:`3706`)\n By `Justus Magin <https://github.com/keewis>`_.\n-\n+- :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n+ `TypeError` on multiple string arguments. Receiving multiple string arguments\n+ often means a user is attempting to pass multiple dimensions to group over\n+ and should instead pass a list.\n+ By `Maximilian Roos <https://github.com/max-sixty>`_\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 6a5491e34dd..1deb77eecfc 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -30,7 +30,11 @@ New Features\\n By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.\\n - implement pint support. (:issue:`3594`, :pull:`3706`)\\n By `Justus Magin <https://github.com/keewis>`_.\\n-\\n+- :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \\n+ `TypeError` on multiple string arguments. Receiving multiple string arguments\\n+ often means a user is attempting to pass multiple dimensions to group over\\n+ and should instead pass a list.\\n+ By `Maximilian Roos <https://github.com/max-sixty>`_\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0015"},"base_commit":{"kind":"string","value":"20e6236f250d1507d22daf06d38b283a83c12e44"},"PASS2PASS":{"kind":"list like","value":["xarray/tests/test_groupby.py::test_ds_groupby_map_func_args","xarray/tests/test_groupby.py::test_groupby_repr[obj0-y]","xarray/tests/test_groupby.py::test_da_groupby_quantile","xarray/tests/test_groupby.py::test_multi_index_groupby_sum","xarray/tests/test_groupby.py::test_groupby_repr[obj0-month]","xarray/tests/test_groupby.py::test_consolidate_slices","xarray/tests/test_groupby.py::test_groupby_grouping_errors","xarray/tests/test_groupby.py::test_groupby_da_datetime","xarray/tests/test_groupby.py::test_groupby_dims_property","xarray/tests/test_groupby.py::test_groupby_reduce_dimension_error","xarray/tests/test_groupby.py::test_da_groupby_empty","xarray/tests/test_groupby.py::test_groupby_bins_timeseries","xarray/tests/test_groupby.py::test_groupby_repr[obj0-x]","xarray/tests/test_groupby.py::test_groupby_repr[obj1-x]","xarray/tests/test_groupby.py::test_groupby_input_mutation","xarray/tests/test_groupby.py::test_groupby_repr[obj0-z]","xarray/tests/test_groupby.py::test_da_groupby_map_func_args","xarray/tests/test_groupby.py::test_da_groupby_assign_coords","xarray/tests/test_groupby.py::test_ds_groupby_quantile","xarray/tests/test_groupby.py::test_groupby_drops_nans","xarray/tests/test_groupby.py::test_groupby_duplicate_coordinate_labels","xarray/tests/test_groupby.py::test_groupby_repr[obj1-z]","xarray/tests/test_groupby.py::test_groupby_repr[obj1-month]","xarray/tests/test_groupby.py::test_groupby_repr_datetime[obj1]","xarray/tests/test_groupby.py::test_groupby_repr[obj1-y]","xarray/tests/test_groupby.py::test_multi_index_groupby_map","xarray/tests/test_groupby.py::test_groupby_repr_datetime[obj0]"],"string":"[\n \"xarray/tests/test_groupby.py::test_ds_groupby_map_func_args\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj0-y]\",\n \"xarray/tests/test_groupby.py::test_da_groupby_quantile\",\n \"xarray/tests/test_groupby.py::test_multi_index_groupby_sum\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj0-month]\",\n \"xarray/tests/test_groupby.py::test_consolidate_slices\",\n \"xarray/tests/test_groupby.py::test_groupby_grouping_errors\",\n \"xarray/tests/test_groupby.py::test_groupby_da_datetime\",\n \"xarray/tests/test_groupby.py::test_groupby_dims_property\",\n \"xarray/tests/test_groupby.py::test_groupby_reduce_dimension_error\",\n \"xarray/tests/test_groupby.py::test_da_groupby_empty\",\n \"xarray/tests/test_groupby.py::test_groupby_bins_timeseries\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj0-x]\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj1-x]\",\n \"xarray/tests/test_groupby.py::test_groupby_input_mutation\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj0-z]\",\n \"xarray/tests/test_groupby.py::test_da_groupby_map_func_args\",\n \"xarray/tests/test_groupby.py::test_da_groupby_assign_coords\",\n \"xarray/tests/test_groupby.py::test_ds_groupby_quantile\",\n \"xarray/tests/test_groupby.py::test_groupby_drops_nans\",\n \"xarray/tests/test_groupby.py::test_groupby_duplicate_coordinate_labels\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj1-z]\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj1-month]\",\n \"xarray/tests/test_groupby.py::test_groupby_repr_datetime[obj1]\",\n \"xarray/tests/test_groupby.py::test_groupby_repr[obj1-y]\",\n \"xarray/tests/test_groupby.py::test_multi_index_groupby_map\",\n \"xarray/tests/test_groupby.py::test_groupby_repr_datetime[obj0]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_groupby.py::test_groupby_multiple_string_args"],"string":"[\n \"xarray/tests/test_groupby.py::test_groupby_multiple_string_args\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 6a5491e34dd..1deb77eecfc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,7 +30,11 @@ New Features\n By `<NAME>`_.\n - implement pint support. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n-\n+- :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n+ `TypeError` on multiple string arguments. Receiving multiple string arguments\n+ often means a user is attempting to pass multiple dimensions to group over\n+ and should instead pass a list.\n+ By `<NAME>`_\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 6a5491e34dd..1deb77eecfc 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -30,7 +30,11 @@ New Features\\n By `<NAME>`_.\\n - implement pint support. (:issue:`<PRID>`, :pull:`<PRID>`)\\n By `<NAME>`_.\\n-\\n+- :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \\n+ `TypeError` on multiple string arguments. Receiving multiple string arguments\\n+ often means a user is attempting to pass multiple dimensions to group over\\n+ and should instead pass a list.\\n+ By `<NAME>`_\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 6a5491e34dd..1deb77eecfc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,7 +30,11 @@ New Features\n By `<NAME>`_.\n - implement pint support. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n-\n+- :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n+ `TypeError` on multiple string arguments. Receiving multiple string arguments\n+ often means a user is attempting to pass multiple dimensions to group over\n+ and should instead pass a list.\n+ By `<NAME>`_\n \n Bug fixes\n ~~~~~~~~~\n\n"}}},{"rowIdx":590,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3733"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3733"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex b9c3e3bdd33..216f47f988f 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -30,6 +30,7 @@ Top-level functions\n zeros_like\n ones_like\n dot\n+ polyval\n map_blocks\n show_versions\n set_options\n@@ -172,6 +173,7 @@ Computation\n Dataset.quantile\n Dataset.differentiate\n Dataset.integrate\n+ Dataset.polyfit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -352,6 +354,7 @@ Computation\n DataArray.quantile\n DataArray.differentiate\n DataArray.integrate\n+ DataArray.polyfit\n DataArray.str\n \n **Aggregation**:\ndiff --git a/doc/computation.rst b/doc/computation.rst\nindex 5309f27e9b6..4b8014c4782 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -401,6 +401,32 @@ trapezoidal rule using their coordinates,\n and integration along multidimensional coordinate are not supported.\n \n \n+.. _compute.polyfit:\n+\n+Fitting polynomials\n+===================\n+\n+Xarray objects provide an interface for performing linear or polynomial regressions\n+using the least-squares method. :py:meth:`~xarray.DataArray.polyfit` computes the\n+best fitting coefficients along a given dimension and for a given order,\n+\n+.. ipython:: python\n+\n+ x = xr.DataArray(np.arange(10), dims=['x'], name='x')\n+ a = xr.DataArray(3 + 4 * x, dims=['x'], coords={'x': x})\n+ out = a.polyfit(dim='x', deg=1, full=True)\n+ out\n+\n+The method outputs a dataset containing the coefficients (and more if `full=True`).\n+The inverse operation is done with :py:meth:`~xarray.polyval`,\n+\n+.. ipython:: python\n+\n+ xr.polyval(coord=x, coeffs=out.polyfit_coefficients)\n+\n+.. note::\n+ These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4515f552812..2a9ee846b28 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Added :py:meth:`DataArray.polyfit` and :py:func:`xarray.polyval` for fitting polynomials. (:issue:`3349`)\n+ By `Pascal Bourgault <https://github.com/aulemahal>`_.\n - Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\ndiff --git a/xarray/__init__.py b/xarray/__init__.py\nindex 331d8ecb09a..0fead57e5fb 100644\n--- a/xarray/__init__.py\n+++ b/xarray/__init__.py\n@@ -17,7 +17,7 @@\n from .core.alignment import align, broadcast\n from .core.combine import auto_combine, combine_by_coords, combine_nested\n from .core.common import ALL_DIMS, full_like, ones_like, zeros_like\n-from .core.computation import apply_ufunc, dot, where\n+from .core.computation import apply_ufunc, dot, polyval, where\n from .core.concat import concat\n from .core.dataarray import DataArray\n from .core.dataset import Dataset\n@@ -65,6 +65,7 @@\n \"open_mfdataset\",\n \"open_rasterio\",\n \"open_zarr\",\n+ \"polyval\",\n \"register_dataarray_accessor\",\n \"register_dataset_accessor\",\n \"save_mfdataset\",\ndiff --git a/xarray/core/computation.py b/xarray/core/computation.py\nindex f2941a3d0ba..13bf6248331 100644\n--- a/xarray/core/computation.py\n+++ b/xarray/core/computation.py\n@@ -1306,3 +1306,35 @@ def where(cond, x, y):\n dataset_join=\"exact\",\n dask=\"allowed\",\n )\n+\n+\n+def polyval(coord, coeffs, degree_dim=\"degree\"):\n+ \"\"\"Evaluate a polynomial at specific values\n+\n+ Parameters\n+ ----------\n+ coord : DataArray\n+ The 1D coordinate along which to evaluate the polynomial.\n+ coeffs : DataArray\n+ Coefficients of the polynomials.\n+ degree_dim : str, default \"degree\"\n+ Name of the polynomial degree dimension in `coeffs`.\n+\n+ See also\n+ --------\n+ xarray.DataArray.polyfit\n+ numpy.polyval\n+ \"\"\"\n+ from .dataarray import DataArray\n+ from .missing import get_clean_interp_index\n+\n+ x = get_clean_interp_index(coord, coord.name)\n+\n+ deg_coord = coeffs[degree_dim]\n+\n+ lhs = DataArray(\n+ np.vander(x, int(deg_coord.max()) + 1),\n+ dims=(coord.name, degree_dim),\n+ coords={coord.name: coord, degree_dim: np.arange(deg_coord.max() + 1)[::-1]},\n+ )\n+ return (lhs * coeffs).sum(degree_dim)\ndiff --git a/xarray/core/dask_array_ops.py b/xarray/core/dask_array_ops.py\nindex 37f261cc3ad..87f646352eb 100644\n--- a/xarray/core/dask_array_ops.py\n+++ b/xarray/core/dask_array_ops.py\n@@ -95,3 +95,30 @@ def func(x, window, axis=-1):\n # crop boundary.\n index = (slice(None),) * axis + (slice(drop_size, drop_size + orig_shape[axis]),)\n return out[index]\n+\n+\n+def least_squares(lhs, rhs, rcond=None, skipna=False):\n+ import dask.array as da\n+\n+ lhs_da = da.from_array(lhs, chunks=(rhs.chunks[0], lhs.shape[1]))\n+ if skipna:\n+ added_dim = rhs.ndim == 1\n+ if added_dim:\n+ rhs = rhs.reshape(rhs.shape[0], 1)\n+ results = da.apply_along_axis(\n+ nputils._nanpolyfit_1d,\n+ 0,\n+ rhs,\n+ lhs_da,\n+ dtype=float,\n+ shape=(lhs.shape[1] + 1,),\n+ rcond=rcond,\n+ )\n+ coeffs = results[:-1, ...]\n+ residuals = results[-1, ...]\n+ if added_dim:\n+ coeffs = coeffs.reshape(coeffs.shape[0])\n+ residuals = residuals.reshape(residuals.shape[0])\n+ else:\n+ coeffs, residuals, _, _ = da.linalg.lstsq(lhs_da, rhs)\n+ return coeffs, residuals\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 232fb86144e..070886cfc34 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -3275,6 +3275,68 @@ def map_blocks(\n \n return map_blocks(func, self, args, kwargs)\n \n+ def polyfit(\n+ self,\n+ dim: Hashable,\n+ deg: int,\n+ skipna: bool = None,\n+ rcond: float = None,\n+ w: Union[Hashable, Any] = None,\n+ full: bool = False,\n+ cov: bool = False,\n+ ):\n+ \"\"\"\n+ Least squares polynomial fit.\n+\n+ This replicates the behaviour of `numpy.polyfit` but differs by skipping\n+ invalid values when `skipna = True`.\n+\n+ Parameters\n+ ----------\n+ dim : hashable\n+ Coordinate along which to fit the polynomials.\n+ deg : int\n+ Degree of the fitting polynomial.\n+ skipna : bool, optional\n+ If True, removes all invalid values before fitting each 1D slices of the array.\n+ Default is True if data is stored in a dask.array or if there is any\n+ invalid values, False otherwise.\n+ rcond : float, optional\n+ Relative condition number to the fit.\n+ w : Union[Hashable, Any], optional\n+ Weights to apply to the y-coordinate of the sample points.\n+ Can be an array-like object or the name of a coordinate in the dataset.\n+ full : bool, optional\n+ Whether to return the residuals, matrix rank and singular values in addition\n+ to the coefficients.\n+ cov : Union[bool, str], optional\n+ Whether to return to the covariance matrix in addition to the coefficients.\n+ The matrix is not scaled if `cov='unscaled'`.\n+\n+ Returns\n+ -------\n+ polyfit_results : Dataset\n+ A single dataset which contains:\n+\n+ polyfit_coefficients\n+ The coefficients of the best fit.\n+ polyfit_residuals\n+ The residuals of the least-square computation (only included if `full=True`)\n+ [dim]_matrix_rank\n+ The effective rank of the scaled Vandermonde coefficient matrix (only included if `full=True`)\n+ [dim]_singular_value\n+ The singular values of the scaled Vandermonde coefficient matrix (only included if `full=True`)\n+ polyfit_covariance\n+ The covariance matrix of the polynomial coefficient estimates (only included if `full=False` and `cov=True`)\n+\n+ See also\n+ --------\n+ numpy.polyfit\n+ \"\"\"\n+ return self._to_temp_dataset().polyfit(\n+ dim, deg, skipna=skipna, rcond=rcond, w=w, full=full, cov=cov\n+ )\n+\n def pad(\n self,\n pad_width: Mapping[Hashable, Union[int, Tuple[int, int]]] = None,\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 6f96e4f469c..c49694b1fc0 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -76,6 +76,7 @@\n merge_coordinates_without_align,\n merge_data_and_coords,\n )\n+from .missing import get_clean_interp_index\n from .options import OPTIONS, _get_keep_attrs\n from .pycompat import dask_array_type\n from .utils import (\n@@ -5748,6 +5749,184 @@ def map_blocks(\n \n return map_blocks(func, self, args, kwargs)\n \n+ def polyfit(\n+ self,\n+ dim: Hashable,\n+ deg: int,\n+ skipna: bool = None,\n+ rcond: float = None,\n+ w: Union[Hashable, Any] = None,\n+ full: bool = False,\n+ cov: Union[bool, str] = False,\n+ ):\n+ \"\"\"\n+ Least squares polynomial fit.\n+\n+ This replicates the behaviour of `numpy.polyfit` but differs by skipping\n+ invalid values when `skipna = True`.\n+\n+ Parameters\n+ ----------\n+ dim : hashable\n+ Coordinate along which to fit the polynomials.\n+ deg : int\n+ Degree of the fitting polynomial.\n+ skipna : bool, optional\n+ If True, removes all invalid values before fitting each 1D slices of the array.\n+ Default is True if data is stored in a dask.array or if there is any\n+ invalid values, False otherwise.\n+ rcond : float, optional\n+ Relative condition number to the fit.\n+ w : Union[Hashable, Any], optional\n+ Weights to apply to the y-coordinate of the sample points.\n+ Can be an array-like object or the name of a coordinate in the dataset.\n+ full : bool, optional\n+ Whether to return the residuals, matrix rank and singular values in addition\n+ to the coefficients.\n+ cov : Union[bool, str], optional\n+ Whether to return to the covariance matrix in addition to the coefficients.\n+ The matrix is not scaled if `cov='unscaled'`.\n+\n+\n+ Returns\n+ -------\n+ polyfit_results : Dataset\n+ A single dataset which contains (for each \"var\" in the input dataset):\n+\n+ [var]_polyfit_coefficients\n+ The coefficients of the best fit for each variable in this dataset.\n+ [var]_polyfit_residuals\n+ The residuals of the least-square computation for each variable (only included if `full=True`)\n+ [dim]_matrix_rank\n+ The effective rank of the scaled Vandermonde coefficient matrix (only included if `full=True`)\n+ [dim]_singular_values\n+ The singular values of the scaled Vandermonde coefficient matrix (only included if `full=True`)\n+ [var]_polyfit_covariance\n+ The covariance matrix of the polynomial coefficient estimates (only included if `full=False` and `cov=True`)\n+\n+ See also\n+ --------\n+ numpy.polyfit\n+ \"\"\"\n+ variables = {}\n+ skipna_da = skipna\n+\n+ x = get_clean_interp_index(self, dim)\n+ xname = \"{}_\".format(self[dim].name)\n+ order = int(deg) + 1\n+ lhs = np.vander(x, order)\n+\n+ if rcond is None:\n+ rcond = x.shape[0] * np.core.finfo(x.dtype).eps\n+\n+ # Weights:\n+ if w is not None:\n+ if isinstance(w, Hashable):\n+ w = self.coords[w]\n+ w = np.asarray(w)\n+ if w.ndim != 1:\n+ raise TypeError(\"Expected a 1-d array for weights.\")\n+ if w.shape[0] != lhs.shape[0]:\n+ raise TypeError(\"Expected w and {} to have the same length\".format(dim))\n+ lhs *= w[:, np.newaxis]\n+\n+ # Scaling\n+ scale = np.sqrt((lhs * lhs).sum(axis=0))\n+ lhs /= scale\n+\n+ degree_dim = utils.get_temp_dimname(self.dims, \"degree\")\n+\n+ rank = np.linalg.matrix_rank(lhs)\n+ if rank != order and not full:\n+ warnings.warn(\n+ \"Polyfit may be poorly conditioned\", np.RankWarning, stacklevel=4\n+ )\n+\n+ if full:\n+ rank = xr.DataArray(rank, name=xname + \"matrix_rank\")\n+ variables[rank.name] = rank\n+ sing = np.linalg.svd(lhs, compute_uv=False)\n+ sing = xr.DataArray(\n+ sing,\n+ dims=(degree_dim,),\n+ coords={degree_dim: np.arange(order)[::-1]},\n+ name=xname + \"singular_values\",\n+ )\n+ variables[sing.name] = sing\n+\n+ for name, da in self.data_vars.items():\n+ if dim not in da.dims:\n+ continue\n+\n+ if skipna is None:\n+ if isinstance(da.data, dask_array_type):\n+ skipna_da = True\n+ else:\n+ skipna_da = np.any(da.isnull())\n+\n+ dims_to_stack = [dimname for dimname in da.dims if dimname != dim]\n+ stacked_coords = {}\n+ if dims_to_stack:\n+ stacked_dim = utils.get_temp_dimname(dims_to_stack, \"stacked\")\n+ rhs = da.transpose(dim, *dims_to_stack).stack(\n+ {stacked_dim: dims_to_stack}\n+ )\n+ stacked_coords = {stacked_dim: rhs[stacked_dim]}\n+ scale_da = scale[:, np.newaxis]\n+ else:\n+ rhs = da\n+ scale_da = scale\n+\n+ if w is not None:\n+ rhs *= w[:, np.newaxis]\n+\n+ coeffs, residuals = duck_array_ops.least_squares(\n+ lhs, rhs.data, rcond=rcond, skipna=skipna_da\n+ )\n+\n+ if isinstance(name, str):\n+ name = \"{}_\".format(name)\n+ else:\n+ # Thus a ReprObject => polyfit was called on a DataArray\n+ name = \"\"\n+\n+ coeffs = xr.DataArray(\n+ coeffs / scale_da,\n+ dims=[degree_dim] + list(stacked_coords.keys()),\n+ coords={degree_dim: np.arange(order)[::-1], **stacked_coords},\n+ name=name + \"polyfit_coefficients\",\n+ )\n+ if dims_to_stack:\n+ coeffs = coeffs.unstack(stacked_dim)\n+ variables[coeffs.name] = coeffs\n+\n+ if full or (cov is True):\n+ residuals = xr.DataArray(\n+ residuals if dims_to_stack else residuals.squeeze(),\n+ dims=list(stacked_coords.keys()),\n+ coords=stacked_coords,\n+ name=name + \"polyfit_residuals\",\n+ )\n+ if dims_to_stack:\n+ residuals = residuals.unstack(stacked_dim)\n+ variables[residuals.name] = residuals\n+\n+ if cov:\n+ Vbase = np.linalg.inv(np.dot(lhs.T, lhs))\n+ Vbase /= np.outer(scale, scale)\n+ if cov == \"unscaled\":\n+ fac = 1\n+ else:\n+ if x.shape[0] <= order:\n+ raise ValueError(\n+ \"The number of data points must exceed order to scale the covariance matrix.\"\n+ )\n+ fac = residuals / (x.shape[0] - order)\n+ covariance = xr.DataArray(Vbase, dims=(\"cov_i\", \"cov_j\"),) * fac\n+ variables[name + \"polyfit_covariance\"] = covariance\n+\n+ return Dataset(data_vars=variables, attrs=self.attrs.copy())\n+\n def pad(\n self,\n pad_width: Mapping[Hashable, Union[int, Tuple[int, int]]] = None,\ndiff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py\nindex ff2d0af63ed..4047a1e68e1 100644\n--- a/xarray/core/duck_array_ops.py\n+++ b/xarray/core/duck_array_ops.py\n@@ -597,3 +597,12 @@ def rolling_window(array, axis, window, center, fill_value):\n return dask_array_ops.rolling_window(array, axis, window, center, fill_value)\n else: # np.ndarray\n return nputils.rolling_window(array, axis, window, center, fill_value)\n+\n+\n+def least_squares(lhs, rhs, rcond=None, skipna=False):\n+ \"\"\"Return the coefficients and residuals of a least-squares fit.\n+ \"\"\"\n+ if isinstance(rhs, dask_array_type):\n+ return dask_array_ops.least_squares(lhs, rhs, rcond=rcond, skipna=skipna)\n+ else:\n+ return nputils.least_squares(lhs, rhs, rcond=rcond, skipna=skipna)\ndiff --git a/xarray/core/nputils.py b/xarray/core/nputils.py\nindex 5dd8219ebca..fa6df63e0ea 100644\n--- a/xarray/core/nputils.py\n+++ b/xarray/core/nputils.py\n@@ -220,6 +220,39 @@ def f(values, axis=None, **kwargs):\n return f\n \n \n+def _nanpolyfit_1d(arr, x, rcond=None):\n+ out = np.full((x.shape[1] + 1,), np.nan)\n+ mask = np.isnan(arr)\n+ if not np.all(mask):\n+ out[:-1], out[-1], _, _ = np.linalg.lstsq(x[~mask, :], arr[~mask], rcond=rcond)\n+ return out\n+\n+\n+def least_squares(lhs, rhs, rcond=None, skipna=False):\n+ if skipna:\n+ added_dim = rhs.ndim == 1\n+ if added_dim:\n+ rhs = rhs.reshape(rhs.shape[0], 1)\n+ nan_cols = np.any(np.isnan(rhs), axis=0)\n+ out = np.empty((lhs.shape[1] + 1, rhs.shape[1]))\n+ if np.any(nan_cols):\n+ out[:, nan_cols] = np.apply_along_axis(\n+ _nanpolyfit_1d, 0, rhs[:, nan_cols], lhs\n+ )\n+ if np.any(~nan_cols):\n+ out[:-1, ~nan_cols], out[-1, ~nan_cols], _, _ = np.linalg.lstsq(\n+ lhs, rhs[:, ~nan_cols], rcond=rcond\n+ )\n+ coeffs = out[:-1, :]\n+ residuals = out[-1, :]\n+ if added_dim:\n+ coeffs = coeffs.reshape(coeffs.shape[0])\n+ residuals = residuals.reshape(residuals.shape[0])\n+ else:\n+ coeffs, residuals, _, _ = np.linalg.lstsq(lhs, rhs, rcond=rcond)\n+ return coeffs, residuals\n+\n+\n nanmin = _create_bottleneck_method(\"nanmin\")\n nanmax = _create_bottleneck_method(\"nanmax\")\n nanmean = _create_bottleneck_method(\"nanmean\")\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py\nindex 369903552ad..4eed464d2dc 100644\n--- a/xarray/tests/test_computation.py\n+++ b/xarray/tests/test_computation.py\n@@ -1120,3 +1120,35 @@ def test_where():\n actual = xr.where(cond, 1, 0)\n expected = xr.DataArray([1, 0], dims=\"x\")\n assert_identical(expected, actual)\n+\n+\n+@pytest.mark.parametrize(\"use_dask\", [True, False])\n+@pytest.mark.parametrize(\"use_datetime\", [True, False])\n+def test_polyval(use_dask, use_datetime):\n+ if use_dask and not has_dask:\n+ pytest.skip(\"requires dask\")\n+\n+ if use_datetime:\n+ xcoord = xr.DataArray(\n+ pd.date_range(\"2000-01-01\", freq=\"D\", periods=10), dims=(\"x\",), name=\"x\"\n+ )\n+ x = xr.core.missing.get_clean_interp_index(xcoord, \"x\")\n+ else:\n+ xcoord = x = np.arange(10)\n+\n+ da = xr.DataArray(\n+ np.stack((1.0 + x + 2.0 * x ** 2, 1.0 + 2.0 * x + 3.0 * x ** 2)),\n+ dims=(\"d\", \"x\"),\n+ coords={\"x\": xcoord, \"d\": [0, 1]},\n+ )\n+ coeffs = xr.DataArray(\n+ [[2, 1, 1], [3, 2, 1]],\n+ dims=(\"d\", \"degree\"),\n+ coords={\"d\": [0, 1], \"degree\": [2, 1, 0]},\n+ )\n+ if use_dask:\n+ coeffs = coeffs.chunk({\"d\": 2})\n+\n+ da_pv = xr.polyval(da.x, coeffs)\n+\n+ xr.testing.assert_allclose(da, da_pv.T)\ndiff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex 4f19dc2a9cf..e23ff2f7e31 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -23,6 +23,7 @@\n assert_array_equal,\n assert_equal,\n assert_identical,\n+ has_dask,\n raises_regex,\n requires_bottleneck,\n requires_dask,\n@@ -4191,6 +4192,55 @@ def test_rank(self):\n y = DataArray([0.75, 0.25, np.nan, 0.5, 1.0], dims=(\"z\",))\n assert_equal(y.rank(\"z\", pct=True), y)\n \n+ @pytest.mark.parametrize(\"use_dask\", [True, False])\n+ @pytest.mark.parametrize(\"use_datetime\", [True, False])\n+ def test_polyfit(self, use_dask, use_datetime):\n+ if use_dask and not has_dask:\n+ pytest.skip(\"requires dask\")\n+ xcoord = xr.DataArray(\n+ pd.date_range(\"1970-01-01\", freq=\"D\", periods=10), dims=(\"x\",), name=\"x\"\n+ )\n+ x = xr.core.missing.get_clean_interp_index(xcoord, \"x\")\n+ if not use_datetime:\n+ xcoord = x\n+\n+ da_raw = DataArray(\n+ np.stack(\n+ (10 + 1e-15 * x + 2e-28 * x ** 2, 30 + 2e-14 * x + 1e-29 * x ** 2)\n+ ),\n+ dims=(\"d\", \"x\"),\n+ coords={\"x\": xcoord, \"d\": [0, 1]},\n+ )\n+\n+ if use_dask:\n+ da = da_raw.chunk({\"d\": 1})\n+ else:\n+ da = da_raw\n+\n+ out = da.polyfit(\"x\", 2)\n+ expected = DataArray(\n+ [[2e-28, 1e-15, 10], [1e-29, 2e-14, 30]],\n+ dims=(\"d\", \"degree\"),\n+ coords={\"degree\": [2, 1, 0], \"d\": [0, 1]},\n+ ).T\n+ assert_allclose(out.polyfit_coefficients, expected, rtol=1e-3)\n+\n+ # With NaN\n+ da_raw[0, 1] = np.nan\n+ if use_dask:\n+ da = da_raw.chunk({\"d\": 1})\n+ else:\n+ da = da_raw\n+ out = da.polyfit(\"x\", 2, skipna=True, cov=True)\n+ assert_allclose(out.polyfit_coefficients, expected, rtol=1e-3)\n+ assert \"polyfit_covariance\" in out\n+\n+ # Skipna + Full output\n+ out = da.polyfit(\"x\", 2, skipna=True, full=True)\n+ assert_allclose(out.polyfit_coefficients, expected, rtol=1e-3)\n+ assert out.x_matrix_rank == 3\n+ np.testing.assert_almost_equal(out.polyfit_residuals, [0, 0])\n+\n def test_pad_constant(self):\n ar = DataArray(np.arange(3 * 4 * 5).reshape(3, 4, 5))\n actual = ar.pad(dim_0=(1, 3))\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 20b814a25c7..02698253e5d 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -5499,6 +5499,19 @@ def test_ipython_key_completion(self):\n ds.data_vars[item] # should not raise\n assert sorted(actual) == sorted(expected)\n \n+ def test_polyfit_output(self):\n+ ds = create_test_data(seed=1)\n+\n+ out = ds.polyfit(\"dim2\", 2, full=False)\n+ assert \"var1_polyfit_coefficients\" in out\n+\n+ out = ds.polyfit(\"dim1\", 2, full=True)\n+ assert \"var1_polyfit_coefficients\" in out\n+ assert \"dim1_matrix_rank\" in out\n+\n+ out = ds.polyfit(\"time\", 2)\n+ assert len(out.data_vars) == 0\n+\n def test_pad(self):\n ds = create_test_data(seed=1)\n padded = ds.pad(dim2=(1, 1), constant_values=42)\ndiff --git a/xarray/tests/test_duck_array_ops.py b/xarray/tests/test_duck_array_ops.py\nindex 157cd16cba6..e61881cfce3 100644\n--- a/xarray/tests/test_duck_array_ops.py\n+++ b/xarray/tests/test_duck_array_ops.py\n@@ -16,6 +16,7 @@\n first,\n gradient,\n last,\n+ least_squares,\n mean,\n np_timedelta64_to_float,\n pd_timedelta_to_float,\n@@ -761,3 +762,20 @@ def test_timedelta_to_numeric(td):\n out = timedelta_to_numeric(td, \"ns\")\n np.testing.assert_allclose(out, 86400 * 1e9)\n assert isinstance(out, float)\n+\n+\n+@pytest.mark.parametrize(\"use_dask\", [True, False])\n+@pytest.mark.parametrize(\"skipna\", [True, False])\n+def test_least_squares(use_dask, skipna):\n+ if use_dask and not has_dask:\n+ pytest.skip(\"requires dask\")\n+ lhs = np.array([[1, 2], [1, 2], [3, 2]])\n+ rhs = DataArray(np.array([3, 5, 7]), dims=(\"y\",))\n+\n+ if use_dask:\n+ rhs = rhs.chunk({\"y\": 1})\n+\n+ coeffs, residuals = least_squares(lhs, rhs.data, skipna=skipna)\n+\n+ np.testing.assert_allclose(coeffs, [1.5, 1.25])\n+ np.testing.assert_allclose(residuals, [2.0])\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex b9c3e3bdd33..216f47f988f 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -30,6 +30,7 @@ Top-level functions\n zeros_like\n ones_like\n dot\n+ polyval\n map_blocks\n show_versions\n set_options\n@@ -172,6 +173,7 @@ Computation\n Dataset.quantile\n Dataset.differentiate\n Dataset.integrate\n+ Dataset.polyfit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -352,6 +354,7 @@ Computation\n DataArray.quantile\n DataArray.differentiate\n DataArray.integrate\n+ DataArray.polyfit\n DataArray.str\n \n **Aggregation**:\n"},{"path":"doc/computation.rst","old_path":"a/doc/computation.rst","new_path":"b/doc/computation.rst","metadata":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 5309f27e9b6..4b8014c4782 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -401,6 +401,32 @@ trapezoidal rule using their coordinates,\n and integration along multidimensional coordinate are not supported.\n \n \n+.. _compute.polyfit:\n+\n+Fitting polynomials\n+===================\n+\n+Xarray objects provide an interface for performing linear or polynomial regressions\n+using the least-squares method. :py:meth:`~xarray.DataArray.polyfit` computes the\n+best fitting coefficients along a given dimension and for a given order,\n+\n+.. ipython:: python\n+\n+ x = xr.DataArray(np.arange(10), dims=['x'], name='x')\n+ a = xr.DataArray(3 + 4 * x, dims=['x'], coords={'x': x})\n+ out = a.polyfit(dim='x', deg=1, full=True)\n+ out\n+\n+The method outputs a dataset containing the coefficients (and more if `full=True`).\n+The inverse operation is done with :py:meth:`~xarray.polyval`,\n+\n+.. ipython:: python\n+\n+ xr.polyval(coord=x, coeffs=out.polyfit_coefficients)\n+\n+.. note::\n+ These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4515f552812..2a9ee846b28 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Added :py:meth:`DataArray.polyfit` and :py:func:`xarray.polyval` for fitting polynomials. (:issue:`3349`)\n+ By `Pascal Bourgault <https://github.com/aulemahal>`_.\n - Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex b9c3e3bdd33..216f47f988f 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -30,6 +30,7 @@ Top-level functions\\n zeros_like\\n ones_like\\n dot\\n+ polyval\\n map_blocks\\n show_versions\\n set_options\\n@@ -172,6 +173,7 @@ Computation\\n Dataset.quantile\\n Dataset.differentiate\\n Dataset.integrate\\n+ Dataset.polyfit\\n \\n **Aggregation**:\\n :py:attr:`~Dataset.all`\\n@@ -352,6 +354,7 @@ Computation\\n DataArray.quantile\\n DataArray.differentiate\\n DataArray.integrate\\n+ DataArray.polyfit\\n DataArray.str\\n \\n **Aggregation**:\\n\"\n },\n {\n \"path\": \"doc/computation.rst\",\n \"old_path\": \"a/doc/computation.rst\",\n \"new_path\": \"b/doc/computation.rst\",\n \"metadata\": \"diff --git a/doc/computation.rst b/doc/computation.rst\\nindex 5309f27e9b6..4b8014c4782 100644\\n--- a/doc/computation.rst\\n+++ b/doc/computation.rst\\n@@ -401,6 +401,32 @@ trapezoidal rule using their coordinates,\\n and integration along multidimensional coordinate are not supported.\\n \\n \\n+.. _compute.polyfit:\\n+\\n+Fitting polynomials\\n+===================\\n+\\n+Xarray objects provide an interface for performing linear or polynomial regressions\\n+using the least-squares method. :py:meth:`~xarray.DataArray.polyfit` computes the\\n+best fitting coefficients along a given dimension and for a given order,\\n+\\n+.. ipython:: python\\n+\\n+ x = xr.DataArray(np.arange(10), dims=['x'], name='x')\\n+ a = xr.DataArray(3 + 4 * x, dims=['x'], coords={'x': x})\\n+ out = a.polyfit(dim='x', deg=1, full=True)\\n+ out\\n+\\n+The method outputs a dataset containing the coefficients (and more if `full=True`).\\n+The inverse operation is done with :py:meth:`~xarray.polyval`,\\n+\\n+.. ipython:: python\\n+\\n+ xr.polyval(coord=x, coeffs=out.polyfit_coefficients)\\n+\\n+.. note::\\n+ These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\\n+\\n .. _compute.broadcasting:\\n \\n Broadcasting by dimension name\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 4515f552812..2a9ee846b28 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -24,6 +24,8 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- Added :py:meth:`DataArray.polyfit` and :py:func:`xarray.polyval` for fitting polynomials. (:issue:`3349`)\\n+ By `Pascal Bourgault <https://github.com/aulemahal>`_.\\n - Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\\n combine_attrs keyword argument. 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\"xarray/tests/test_duck_array_ops.py::test_reduce[x-True-mean-False-float32-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[None-True-min-False-int-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[None-True-max-False-bool_-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-False-sum-False-float-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-True-sum-False-float32-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-False-max-False-int-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count[x-sum-False-int-2]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"residuals\"\n },\n {\n \"type\": \"field\",\n \"name\": \"get_clean_interp_index\"\n },\n {\n \"type\": \"field\",\n \"name\": \"cov\"\n },\n {\n \"type\": \"field\",\n \"name\": \"least_squares\"\n },\n {\n \"type\": \"field\",\n \"name\": \"lhs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"rhs\"\n },\n {\n \"type\": \"function\",\n \"name\": \"least_squares\"\n },\n {\n \"type\": \"field\",\n \"name\": \"rhs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"missing\"\n },\n {\n \"type\": \"field\",\n \"name\": \"lhs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"cov\"\n },\n {\n \"type\": \"field\",\n \"name\": \"get_clean_interp_index\"\n },\n {\n \"type\": \"field\",\n \"name\": \"rhs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"residuals\"\n },\n {\n \"type\": \"field\",\n \"name\": \"lhs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"residuals\"\n },\n {\n \"type\": \"field\",\n \"name\": \"lhs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"rhs\"\n },\n {\n \"type\": \"function\",\n \"name\": \"least_squares\"\n },\n {\n \"type\": \"function\",\n \"name\": \"least_squares\"\n },\n {\n \"type\": \"field\",\n \"name\": \"least_squares\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex b9c3e3bdd33..216f47f988f 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -30,6 +30,7 @@ Top-level functions\n zeros_like\n ones_like\n dot\n+ polyval\n map_blocks\n show_versions\n set_options\n@@ -172,6 +173,7 @@ Computation\n Dataset.quantile\n Dataset.differentiate\n Dataset.integrate\n+ Dataset.polyfit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -352,6 +354,7 @@ Computation\n DataArray.quantile\n DataArray.differentiate\n DataArray.integrate\n+ DataArray.polyfit\n DataArray.str\n \n **Aggregation**:\n"},{"path":"doc/computation.rst","old_path":"a/doc/computation.rst","new_path":"b/doc/computation.rst","metadata":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 5309f27e9b6..4b8014c4782 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -401,6 +401,32 @@ trapezoidal rule using their coordinates,\n and integration along multidimensional coordinate are not supported.\n \n \n+.. _compute.polyfit:\n+\n+Fitting polynomials\n+===================\n+\n+Xarray objects provide an interface for performing linear or polynomial regressions\n+using the least-squares method. :py:meth:`~xarray.DataArray.polyfit` computes the\n+best fitting coefficients along a given dimension and for a given order,\n+\n+.. ipython:: python\n+\n+ x = xr.DataArray(np.arange(10), dims=['x'], name='x')\n+ a = xr.DataArray(3 + 4 * x, dims=['x'], coords={'x': x})\n+ out = a.polyfit(dim='x', deg=1, full=True)\n+ out\n+\n+The method outputs a dataset containing the coefficients (and more if `full=True`).\n+The inverse operation is done with :py:meth:`~xarray.polyval`,\n+\n+.. ipython:: python\n+\n+ xr.polyval(coord=x, coeffs=out.polyfit_coefficients)\n+\n+.. note::\n+ These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4515f552812..2a9ee846b28 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Added :py:meth:`DataArray.polyfit` and :py:func:`xarray.polyval` for fitting polynomials. (:issue:`<PRID>`)\n+ By `<NAME>`_.\n - Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex b9c3e3bdd33..216f47f988f 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -30,6 +30,7 @@ Top-level functions\\n zeros_like\\n ones_like\\n dot\\n+ polyval\\n map_blocks\\n show_versions\\n set_options\\n@@ -172,6 +173,7 @@ Computation\\n Dataset.quantile\\n Dataset.differentiate\\n Dataset.integrate\\n+ Dataset.polyfit\\n \\n **Aggregation**:\\n :py:attr:`~Dataset.all`\\n@@ -352,6 +354,7 @@ Computation\\n DataArray.quantile\\n DataArray.differentiate\\n DataArray.integrate\\n+ DataArray.polyfit\\n DataArray.str\\n \\n **Aggregation**:\\n\"\n },\n {\n \"path\": \"doc/computation.rst\",\n \"old_path\": \"a/doc/computation.rst\",\n \"new_path\": \"b/doc/computation.rst\",\n \"metadata\": \"diff --git a/doc/computation.rst b/doc/computation.rst\\nindex 5309f27e9b6..4b8014c4782 100644\\n--- a/doc/computation.rst\\n+++ b/doc/computation.rst\\n@@ -401,6 +401,32 @@ trapezoidal rule using their coordinates,\\n and integration along multidimensional coordinate are not supported.\\n \\n \\n+.. _compute.polyfit:\\n+\\n+Fitting polynomials\\n+===================\\n+\\n+Xarray objects provide an interface for performing linear or polynomial regressions\\n+using the least-squares method. :py:meth:`~xarray.DataArray.polyfit` computes the\\n+best fitting coefficients along a given dimension and for a given order,\\n+\\n+.. ipython:: python\\n+\\n+ x = xr.DataArray(np.arange(10), dims=['x'], name='x')\\n+ a = xr.DataArray(3 + 4 * x, dims=['x'], coords={'x': x})\\n+ out = a.polyfit(dim='x', deg=1, full=True)\\n+ out\\n+\\n+The method outputs a dataset containing the coefficients (and more if `full=True`).\\n+The inverse operation is done with :py:meth:`~xarray.polyval`,\\n+\\n+.. ipython:: python\\n+\\n+ xr.polyval(coord=x, coeffs=out.polyfit_coefficients)\\n+\\n+.. note::\\n+ These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\\n+\\n .. _compute.broadcasting:\\n \\n Broadcasting by dimension name\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 4515f552812..2a9ee846b28 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -24,6 +24,8 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- Added :py:meth:`DataArray.polyfit` and :py:func:`xarray.polyval` for fitting polynomials. (:issue:`<PRID>`)\\n+ By `<NAME>`_.\\n - Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\\n combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex b9c3e3bdd33..216f47f988f 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -30,6 +30,7 @@ Top-level functions\n zeros_like\n ones_like\n dot\n+ polyval\n map_blocks\n show_versions\n set_options\n@@ -172,6 +173,7 @@ Computation\n Dataset.quantile\n Dataset.differentiate\n Dataset.integrate\n+ Dataset.polyfit\n \n **Aggregation**:\n :py:attr:`~Dataset.all`\n@@ -352,6 +354,7 @@ Computation\n DataArray.quantile\n DataArray.differentiate\n DataArray.integrate\n+ DataArray.polyfit\n DataArray.str\n \n **Aggregation**:\n\ndiff --git a/doc/computation.rst b/doc/computation.rst\nindex 5309f27e9b6..4b8014c4782 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -401,6 +401,32 @@ trapezoidal rule using their coordinates,\n and integration along multidimensional coordinate are not supported.\n \n \n+.. _compute.polyfit:\n+\n+Fitting polynomials\n+===================\n+\n+Xarray objects provide an interface for performing linear or polynomial regressions\n+using the least-squares method. :py:meth:`~xarray.DataArray.polyfit` computes the\n+best fitting coefficients along a given dimension and for a given order,\n+\n+.. ipython:: python\n+\n+ x = xr.DataArray(np.arange(10), dims=['x'], name='x')\n+ a = xr.DataArray(3 + 4 * x, dims=['x'], coords={'x': x})\n+ out = a.polyfit(dim='x', deg=1, full=True)\n+ out\n+\n+The method outputs a dataset containing the coefficients (and more if `full=True`).\n+The inverse operation is done with :py:meth:`~xarray.polyval`,\n+\n+.. ipython:: python\n+\n+ xr.polyval(coord=x, coeffs=out.polyfit_coefficients)\n+\n+.. note::\n+ These methods replicate the behaviour of :py:func:`numpy.polyfit` and :py:func:`numpy.polyval`.\n+\n .. _compute.broadcasting:\n \n Broadcasting by dimension name\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4515f552812..2a9ee846b28 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- Added :py:meth:`DataArray.polyfit` and :py:func:`xarray.polyval` for fitting polynomials. (:issue:`<PRID>`)\n+ By `<NAME>`_.\n - Control over attributes of result in :py:func:`merge`, :py:func:`concat`,\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'residuals'}, {'type': 'field', 'name': 'get_clean_interp_index'}, {'type': 'field', 'name': 'cov'}, {'type': 'field', 'name': 'least_squares'}, {'type': 'field', 'name': 'lhs'}, {'type': 'field', 'name': 'rhs'}, {'type': 'function', 'name': 'least_squares'}, {'type': 'field', 'name': 'rhs'}, {'type': 'field', 'name': 'missing'}, {'type': 'field', 'name': 'lhs'}, {'type': 'field', 'name': 'cov'}, {'type': 'field', 'name': 'get_clean_interp_index'}, {'type': 'field', 'name': 'rhs'}, {'type': 'field', 'name': 'residuals'}, {'type': 'field', 'name': 'lhs'}, {'type': 'field', 'name': 'residuals'}, {'type': 'field', 'name': 'lhs'}, {'type': 'field', 'name': 'rhs'}, {'type': 'function', 'name': 'least_squares'}, {'type': 'function', 'name': 'least_squares'}, {'type': 'field', 'name': 'least_squares'}]\n"}}},{"rowIdx":591,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3847"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3847"},"feature_patch":{"kind":"string","value":"diff --git a/ci/requirements/py36-min-all-deps.yml b/ci/requirements/py36-min-all-deps.yml\nindex 86540197dcc..a72cd000680 100644\n--- a/ci/requirements/py36-min-all-deps.yml\n+++ b/ci/requirements/py36-min-all-deps.yml\n@@ -15,8 +15,8 @@ dependencies:\n - cfgrib=0.9\n - cftime=1.0\n - coveralls\n- - dask=2.2\n- - distributed=2.2\n+ - dask=2.5\n+ - distributed=2.5\n - flake8\n - h5netcdf=0.7\n - h5py=2.9 # Policy allows for 2.10, but it's a conflict-fest\ndiff --git a/ci/requirements/py36-min-nep18.yml b/ci/requirements/py36-min-nep18.yml\nindex a5eded49cd4..a2245e89b41 100644\n--- a/ci/requirements/py36-min-nep18.yml\n+++ b/ci/requirements/py36-min-nep18.yml\n@@ -6,8 +6,8 @@ dependencies:\n # require drastically newer packages than everything else\n - python=3.6\n - coveralls\n- - dask=2.4\n- - distributed=2.4\n+ - dask=2.5\n+ - distributed=2.5\n - msgpack-python=0.6 # remove once distributed is bumped. distributed GH3491\n - numpy=1.17\n - pandas=0.25\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd30fab0160..f4f75df2e86 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -209,6 +209,8 @@ New Features\n :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n (:issue:`3843`, :pull:`3844`)\n By `Aaron Spring <https://github.com/aaronspring>`_.\n+- Add a diff summary for `testing.assert_allclose`. (:issue:`3617`, :pull:`3847`)\n+ By `Justus Magin <https://github.com/keewis>`_.\n \n Bug fixes\n ~~~~~~~~~\ndiff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py\nindex 1340b456cf2..76719699168 100644\n--- a/xarray/core/duck_array_ops.py\n+++ b/xarray/core/duck_array_ops.py\n@@ -6,6 +6,7 @@\n import contextlib\n import inspect\n import warnings\n+from distutils.version import LooseVersion\n from functools import partial\n \n import numpy as np\n@@ -20,6 +21,14 @@\n except ImportError:\n dask_array = None # type: ignore\n \n+# TODO: remove after we stop supporting dask < 2.9.1\n+try:\n+ import dask\n+\n+ dask_version = dask.__version__\n+except ImportError:\n+ dask_version = None\n+\n \n def _dask_or_eager_func(\n name,\n@@ -199,8 +208,19 @@ def allclose_or_equiv(arr1, arr2, rtol=1e-5, atol=1e-8):\n \"\"\"\n arr1 = asarray(arr1)\n arr2 = asarray(arr2)\n+\n lazy_equiv = lazy_array_equiv(arr1, arr2)\n if lazy_equiv is None:\n+ # TODO: remove after we require dask >= 2.9.1\n+ sufficient_dask_version = (\n+ dask_version is not None and LooseVersion(dask_version) >= \"2.9.1\"\n+ )\n+ if not sufficient_dask_version and any(\n+ isinstance(arr, dask_array_type) for arr in [arr1, arr2]\n+ ):\n+ arr1 = np.array(arr1)\n+ arr2 = np.array(arr2)\n+\n return bool(isclose(arr1, arr2, rtol=rtol, atol=atol, equal_nan=True).all())\n else:\n return lazy_equiv\ndiff --git a/xarray/core/formatting.py b/xarray/core/formatting.py\nindex d6732fc182e..bd9576a4440 100644\n--- a/xarray/core/formatting.py\n+++ b/xarray/core/formatting.py\n@@ -539,7 +539,10 @@ def extra_items_repr(extra_keys, mapping, ab_side):\n for k in a_keys & b_keys:\n try:\n # compare xarray variable\n- compatible = getattr(a_mapping[k], compat)(b_mapping[k])\n+ if not callable(compat):\n+ compatible = getattr(a_mapping[k], compat)(b_mapping[k])\n+ else:\n+ compatible = compat(a_mapping[k], b_mapping[k])\n is_variable = True\n except AttributeError:\n # compare attribute value\n@@ -596,8 +599,13 @@ def extra_items_repr(extra_keys, mapping, ab_side):\n \n \n def _compat_to_str(compat):\n+ if callable(compat):\n+ compat = compat.__name__\n+\n if compat == \"equals\":\n return \"equal\"\n+ elif compat == \"allclose\":\n+ return \"close\"\n else:\n return compat\n \n@@ -611,8 +619,12 @@ def diff_array_repr(a, b, compat):\n ]\n \n summary.append(diff_dim_summary(a, b))\n+ if callable(compat):\n+ equiv = compat\n+ else:\n+ equiv = array_equiv\n \n- if not array_equiv(a.data, b.data):\n+ if not equiv(a.data, b.data):\n temp = [wrap_indent(short_numpy_repr(obj), start=\" \") for obj in (a, b)]\n diff_data_repr = [\n ab_side + \"\\n\" + ab_data_repr\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/testing.py b/xarray/testing.py\nindex ac189f7e023..4897b958113 100644\n--- a/xarray/testing.py\n+++ b/xarray/testing.py\n@@ -1,10 +1,11 @@\n \"\"\"Testing functions exposed to the user API\"\"\"\n+import functools\n from typing import Hashable, Set, Union\n \n import numpy as np\n import pandas as pd\n \n-from xarray.core import duck_array_ops, formatting\n+from xarray.core import duck_array_ops, formatting, utils\n from xarray.core.dataarray import DataArray\n from xarray.core.dataset import Dataset\n from xarray.core.indexes import default_indexes\n@@ -123,27 +124,31 @@ def assert_allclose(a, b, rtol=1e-05, atol=1e-08, decode_bytes=True):\n \"\"\"\n __tracebackhide__ = True\n assert type(a) == type(b)\n- kwargs = dict(rtol=rtol, atol=atol, decode_bytes=decode_bytes)\n+\n+ equiv = functools.partial(\n+ _data_allclose_or_equiv, rtol=rtol, atol=atol, decode_bytes=decode_bytes\n+ )\n+ equiv.__name__ = \"allclose\"\n+\n+ def compat_variable(a, b):\n+ a = getattr(a, \"variable\", a)\n+ b = getattr(b, \"variable\", b)\n+\n+ return a.dims == b.dims and (a._data is b._data or equiv(a.data, b.data))\n+\n if isinstance(a, Variable):\n- assert a.dims == b.dims\n- allclose = _data_allclose_or_equiv(a.values, b.values, **kwargs)\n- assert allclose, f\"{a.values}\\n{b.values}\"\n+ allclose = compat_variable(a, b)\n+ assert allclose, formatting.diff_array_repr(a, b, compat=equiv)\n elif isinstance(a, DataArray):\n- assert_allclose(a.variable, b.variable, **kwargs)\n- assert set(a.coords) == set(b.coords)\n- for v in a.coords.variables:\n- # can't recurse with this function as coord is sometimes a\n- # DataArray, so call into _data_allclose_or_equiv directly\n- allclose = _data_allclose_or_equiv(\n- a.coords[v].values, b.coords[v].values, **kwargs\n- )\n- assert allclose, \"{}\\n{}\".format(a.coords[v].values, b.coords[v].values)\n+ allclose = utils.dict_equiv(\n+ a.coords, b.coords, compat=compat_variable\n+ ) and compat_variable(a.variable, b.variable)\n+ assert allclose, formatting.diff_array_repr(a, b, compat=equiv)\n elif isinstance(a, Dataset):\n- assert set(a.data_vars) == set(b.data_vars)\n- assert set(a.coords) == set(b.coords)\n- for k in list(a.variables) + list(a.coords):\n- assert_allclose(a[k], b[k], **kwargs)\n-\n+ allclose = a._coord_names == b._coord_names and utils.dict_equiv(\n+ a.variables, b.variables, compat=compat_variable\n+ )\n+ assert allclose, formatting.diff_dataset_repr(a, b, compat=equiv)\n else:\n raise TypeError(\"{} not supported by assertion comparison\".format(type(a)))\n \ndiff --git a/xarray/tests/test_duck_array_ops.py b/xarray/tests/test_duck_array_ops.py\nindex e61881cfce3..feedcd27164 100644\n--- a/xarray/tests/test_duck_array_ops.py\n+++ b/xarray/tests/test_duck_array_ops.py\n@@ -384,7 +384,7 @@ def test_reduce(dim_num, dtype, dask, func, skipna, aggdim):\n \n actual = getattr(da, func)(skipna=skipna, dim=aggdim)\n assert_dask_array(actual, dask)\n- assert np.allclose(\n+ np.testing.assert_allclose(\n actual.values, np.array(expected), rtol=1.0e-4, equal_nan=True\n )\n except (TypeError, AttributeError, ZeroDivisionError):\ndiff --git a/xarray/tests/test_testing.py b/xarray/tests/test_testing.py\nindex 041b7341ade..f4961af58e9 100644\n--- a/xarray/tests/test_testing.py\n+++ b/xarray/tests/test_testing.py\n@@ -1,3 +1,5 @@\n+import pytest\n+\n import xarray as xr\n \n \n@@ -5,3 +7,26 @@ def test_allclose_regression():\n x = xr.DataArray(1.01)\n y = xr.DataArray(1.02)\n xr.testing.assert_allclose(x, y, atol=0.01)\n+\n+\n+@pytest.mark.parametrize(\n+ \"obj1,obj2\",\n+ (\n+ pytest.param(\n+ xr.Variable(\"x\", [1e-17, 2]), xr.Variable(\"x\", [0, 3]), id=\"Variable\",\n+ ),\n+ pytest.param(\n+ xr.DataArray([1e-17, 2], dims=\"x\"),\n+ xr.DataArray([0, 3], dims=\"x\"),\n+ id=\"DataArray\",\n+ ),\n+ pytest.param(\n+ xr.Dataset({\"a\": (\"x\", [1e-17, 2]), \"b\": (\"y\", [-2e-18, 2])}),\n+ xr.Dataset({\"a\": (\"x\", [0, 2]), \"b\": (\"y\", [0, 1])}),\n+ id=\"Dataset\",\n+ ),\n+ ),\n+)\n+def test_assert_allclose(obj1, obj2):\n+ with pytest.raises(AssertionError):\n+ xr.testing.assert_allclose(obj1, obj2)\ndiff --git a/xarray/tests/test_units.py b/xarray/tests/test_units.py\nindex 5dd4a42cff0..6f4f9f768d9 100644\n--- a/xarray/tests/test_units.py\n+++ b/xarray/tests/test_units.py\n@@ -425,6 +425,10 @@ def test_apply_ufunc_dataset(dtype):\n assert_identical(expected, actual)\n \n \n+# TODO: remove once pint==0.12 has been released\n+@pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+)\n @pytest.mark.parametrize(\n \"unit,error\",\n (\n@@ -512,6 +516,10 @@ def test_align_dataarray(fill_value, variant, unit, error, dtype):\n assert_allclose(expected_b, actual_b)\n \n \n+# TODO: remove once pint==0.12 has been released\n+@pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+)\n @pytest.mark.parametrize(\n \"unit,error\",\n (\n@@ -929,6 +937,10 @@ def test_concat_dataset(variant, unit, error, dtype):\n assert_identical(expected, actual)\n \n \n+# TODO: remove once pint==0.12 has been released\n+@pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+)\n @pytest.mark.parametrize(\n \"unit,error\",\n (\n@@ -1036,6 +1048,10 @@ def test_merge_dataarray(variant, unit, error, dtype):\n assert_allclose(expected, actual)\n \n \n+# TODO: remove once pint==0.12 has been released\n+@pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+)\n @pytest.mark.parametrize(\n \"unit,error\",\n (\n@@ -1385,7 +1401,6 @@ def wrapper(cls):\n \"test_datetime64_conversion\",\n \"test_timedelta64_conversion\",\n \"test_pandas_period_index\",\n- \"test_1d_math\",\n \"test_1d_reduce\",\n \"test_array_interface\",\n \"test___array__\",\n@@ -1413,6 +1428,13 @@ def example_1d_objects(self):\n ]:\n yield (self.cls(\"x\", data), data)\n \n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+ )\n+ def test_real_and_imag(self):\n+ super().test_real_and_imag()\n+\n @pytest.mark.parametrize(\n \"func\",\n (\n@@ -1450,6 +1472,22 @@ def test_aggregation(self, func, dtype):\n assert_units_equal(expected, actual)\n xr.testing.assert_identical(expected, actual)\n \n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+ )\n+ def test_aggregate_complex(self):\n+ variable = xr.Variable(\"x\", [1, 2j, np.nan] * unit_registry.m)\n+ expected = xr.Variable((), (0.5 + 1j) * unit_registry.m)\n+ actual = variable.mean()\n+\n+ assert_units_equal(expected, actual)\n+ xr.testing.assert_allclose(expected, actual)\n+\n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+ )\n @pytest.mark.parametrize(\n \"func\",\n (\n@@ -1748,6 +1786,10 @@ def test_isel(self, indices, dtype):\n assert_units_equal(expected, actual)\n xr.testing.assert_identical(expected, actual)\n \n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+ )\n @pytest.mark.parametrize(\n \"unit,error\",\n (\n@@ -2224,6 +2266,10 @@ def test_repr(self, func, variant, dtype):\n # warnings or errors, but does not check the result\n func(data_array)\n \n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\",\n+ )\n @pytest.mark.parametrize(\n \"func\",\n (\n@@ -2235,7 +2281,7 @@ def test_repr(self, func, variant, dtype):\n function(\"mean\"),\n pytest.param(\n function(\"median\"),\n- marks=pytest.mark.xfail(\n+ marks=pytest.mark.skip(\n reason=\"median does not work with dataarrays yet\"\n ),\n ),\n@@ -3283,6 +3329,10 @@ def test_head_tail_thin(self, func, dtype):\n assert_units_equal(expected, actual)\n xr.testing.assert_identical(expected, actual)\n \n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+ )\n @pytest.mark.parametrize(\"variant\", (\"data\", \"coords\"))\n @pytest.mark.parametrize(\n \"func\",\n@@ -3356,6 +3406,10 @@ def test_interp_reindex_indexing(self, func, unit, error, dtype):\n assert_units_equal(expected, actual)\n xr.testing.assert_identical(expected, actual)\n \n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+ )\n @pytest.mark.parametrize(\"variant\", (\"data\", \"coords\"))\n @pytest.mark.parametrize(\n \"func\",\n@@ -3558,6 +3612,10 @@ def test_computation(self, func, dtype):\n assert_units_equal(expected, actual)\n xr.testing.assert_identical(expected, actual)\n \n+ # TODO: remove once pint==0.12 has been released\n+ @pytest.mark.xfail(\n+ LooseVersion(pint.__version__) <= \"0.11\", reason=\"pint bug in isclose\"\n+ )\n @pytest.mark.parametrize(\n \"func\",\n (\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd30fab0160..f4f75df2e86 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -209,6 +209,8 @@ New Features\n :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n (:issue:`3843`, :pull:`3844`)\n By `Aaron Spring <https://github.com/aaronspring>`_.\n+- Add a diff summary for `testing.assert_allclose`. (:issue:`3617`, :pull:`3847`)\n+ By `Justus Magin <https://github.com/keewis>`_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex cd30fab0160..f4f75df2e86 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -209,6 +209,8 @@ New Features\\n :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\\n (:issue:`3843`, :pull:`3844`)\\n By `Aaron Spring <https://github.com/aaronspring>`_.\\n+- Add a diff summary for `testing.assert_allclose`. (:issue:`3617`, :pull:`3847`)\\n+ By `Justus Magin <https://github.com/keewis>`_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0015"},"base_commit":{"kind":"string","value":"8051c47686ae23062f9008785563d62327735002"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_duck_array_ops.py::test_multiple_dims[prod-False-bool_]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-sum-False-float32-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-int-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_argmin_max[x-False-max-False-False-float32-2]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_testing.py::test_assert_allclose[Dataset]"],"string":"[\n \"xarray/tests/test_testing.py::test_assert_allclose[Dataset]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"equiv\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd30fab0160..f4f75df2e86 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -209,6 +209,8 @@ New Features\n :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n+- Add a diff summary for `testing.assert_allclose`. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex cd30fab0160..f4f75df2e86 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -209,6 +209,8 @@ New Features\\n :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\\n (:issue:`<PRID>`, :pull:`<PRID>`)\\n By `<NAME>`_.\\n+- Add a diff summary for `testing.assert_allclose`. (:issue:`<PRID>`, :pull:`<PRID>`)\\n+ By `<NAME>`_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd30fab0160..f4f75df2e86 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -209,6 +209,8 @@ New Features\n :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_.\n+- Add a diff summary for `testing.assert_allclose`. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_.\n \n Bug fixes\n ~~~~~~~~~\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'equiv'}]\n"}}},{"rowIdx":592,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-2922"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/2922"},"feature_patch":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex 4492d882355..43a9cf53ead 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -165,6 +165,7 @@ Computation\n Dataset.groupby_bins\n Dataset.rolling\n Dataset.rolling_exp\n+ Dataset.weighted\n Dataset.coarsen\n Dataset.resample\n Dataset.diff\n@@ -340,6 +341,7 @@ Computation\n DataArray.groupby_bins\n DataArray.rolling\n DataArray.rolling_exp\n+ DataArray.weighted\n DataArray.coarsen\n DataArray.dt\n DataArray.resample\n@@ -577,6 +579,22 @@ Rolling objects\n core.rolling.DatasetRolling.reduce\n core.rolling_exp.RollingExp\n \n+Weighted objects\n+================\n+\n+.. autosummary::\n+ :toctree: generated/\n+\n+ core.weighted.DataArrayWeighted\n+ core.weighted.DataArrayWeighted.mean\n+ core.weighted.DataArrayWeighted.sum\n+ core.weighted.DataArrayWeighted.sum_of_weights\n+ core.weighted.DatasetWeighted\n+ core.weighted.DatasetWeighted.mean\n+ core.weighted.DatasetWeighted.sum\n+ core.weighted.DatasetWeighted.sum_of_weights\n+\n+\n Coarsen objects\n ===============\n \ndiff --git a/doc/computation.rst b/doc/computation.rst\nindex 1ac30f55ee7..5309f27e9b6 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -1,3 +1,5 @@\n+.. currentmodule:: xarray\n+\n .. _comput:\n \n ###########\n@@ -241,12 +243,94 @@ You can also use ``construct`` to compute a weighted rolling sum:\n To avoid this, use ``skipna=False`` as the above example.\n \n \n+.. _comput.weighted:\n+\n+Weighted array reductions\n+=========================\n+\n+:py:class:`DataArray` and :py:class:`Dataset` objects include :py:meth:`DataArray.weighted`\n+and :py:meth:`Dataset.weighted` array reduction methods. They currently\n+support weighted ``sum`` and weighted ``mean``.\n+\n+.. ipython:: python\n+\n+ coords = dict(month=('month', [1, 2, 3]))\n+\n+ prec = xr.DataArray([1.1, 1.0, 0.9], dims=('month', ), coords=coords)\n+ weights = xr.DataArray([31, 28, 31], dims=('month', ), coords=coords)\n+\n+Create a weighted object:\n+\n+.. ipython:: python\n+\n+ weighted_prec = prec.weighted(weights)\n+ weighted_prec\n+\n+Calculate the weighted sum:\n+\n+.. ipython:: python\n+\n+ weighted_prec.sum()\n+\n+Calculate the weighted mean:\n+\n+.. ipython:: python\n+\n+ weighted_prec.mean(dim=\"month\")\n+\n+The weighted sum corresponds to:\n+\n+.. ipython:: python\n+\n+ weighted_sum = (prec * weights).sum()\n+ weighted_sum\n+\n+and the weighted mean to:\n+\n+.. ipython:: python\n+\n+ weighted_mean = weighted_sum / weights.sum()\n+ weighted_mean\n+\n+However, the functions also take missing values in the data into account:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([np.NaN, 2, 4])\n+ weights = xr.DataArray([8, 1, 1])\n+\n+ data.weighted(weights).mean()\n+\n+Using ``(data * weights).sum() / weights.sum()`` would (incorrectly) result\n+in 0.6.\n+\n+\n+If the weights add up to to 0, ``sum`` returns 0:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([1.0, 1.0])\n+ weights = xr.DataArray([-1.0, 1.0])\n+\n+ data.weighted(weights).sum()\n+\n+and ``mean`` returns ``NaN``:\n+\n+.. ipython:: python\n+\n+ data.weighted(weights).mean()\n+\n+\n+.. note::\n+ ``weights`` must be a :py:class:`DataArray` and cannot contain missing values.\n+ Missing values can be replaced manually by ``weights.fillna(0)``.\n+\n .. _comput.coarsen:\n \n Coarsen large arrays\n ====================\n \n-``DataArray`` and ``Dataset`` objects include a\n+:py:class:`DataArray` and :py:class:`Dataset` objects include a\n :py:meth:`~xarray.DataArray.coarsen` and :py:meth:`~xarray.Dataset.coarsen`\n methods. This supports the block aggregation along multiple dimensions,\n \ndiff --git a/doc/examples.rst b/doc/examples.rst\nindex 805395808e0..1d48d29bcc5 100644\n--- a/doc/examples.rst\n+++ b/doc/examples.rst\n@@ -6,6 +6,7 @@ Examples\n \n examples/weather-data\n examples/monthly-means\n+ examples/area_weighted_temperature\n examples/multidimensional-coords\n examples/visualization_gallery\n examples/ROMS_ocean_model\ndiff --git a/doc/examples/area_weighted_temperature.ipynb b/doc/examples/area_weighted_temperature.ipynb\nnew file mode 100644\nindex 00000000000..72876e3fc29\n--- /dev/null\n+++ b/doc/examples/area_weighted_temperature.ipynb\n@@ -0,0 +1,226 @@\n+{\n+ \"cells\": [\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {\n+ \"toc\": true\n+ },\n+ \"source\": [\n+ \"<h1>Table of Contents<span class=\\\"tocSkip\\\"></span></h1>\\n\",\n+ \"<div class=\\\"toc\\\"><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Compare-weighted-and-unweighted-mean-temperature\\\" data-toc-modified-id=\\\"Compare-weighted-and-unweighted-mean-temperature-1\\\"><span class=\\\"toc-item-num\\\">1 </span>Compare weighted and unweighted mean temperature</a></span><ul class=\\\"toc-item\\\"><li><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Data\\\" data-toc-modified-id=\\\"Data-1.0.1\\\"><span class=\\\"toc-item-num\\\">1.0.1 </span>Data</a></span></li><li><span><a href=\\\"#Creating-weights\\\" data-toc-modified-id=\\\"Creating-weights-1.0.2\\\"><span class=\\\"toc-item-num\\\">1.0.2 </span>Creating weights</a></span></li><li><span><a href=\\\"#Weighted-mean\\\" data-toc-modified-id=\\\"Weighted-mean-1.0.3\\\"><span class=\\\"toc-item-num\\\">1.0.3 </span>Weighted mean</a></span></li><li><span><a href=\\\"#Plot:-comparison-with-unweighted-mean\\\" data-toc-modified-id=\\\"Plot:-comparison-with-unweighted-mean-1.0.4\\\"><span class=\\\"toc-item-num\\\">1.0.4 </span>Plot: comparison with unweighted mean</a></span></li></ul></li></ul></li></ul></div>\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"# Compare weighted and unweighted mean temperature\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"Author: [Mathias Hauser](https://github.com/mathause/)\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"We use the `air_temperature` example dataset to calculate the area-weighted temperature over its domain. This dataset has a regular latitude/ longitude grid, thus the gridcell area decreases towards the pole. For this grid we can use the cosine of the latitude as proxy for the grid cell area.\\n\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.222351Z\",\n+ \"start_time\": \"2020-03-17T14:43:56.147541Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"%matplotlib inline\\n\",\n+ \"\\n\",\n+ \"import cartopy.crs as ccrs\\n\",\n+ \"import matplotlib.pyplot as plt\\n\",\n+ \"import numpy as np\\n\",\n+ \"\\n\",\n+ \"import xarray as xr\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Data\\n\",\n+ \"\\n\",\n+ \"Load the data, convert to celsius, and resample to daily values\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.831734Z\",\n+ \"start_time\": \"2020-03-17T14:43:57.651845Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"ds = xr.tutorial.load_dataset(\\\"air_temperature\\\")\\n\",\n+ \"\\n\",\n+ \"# to celsius\\n\",\n+ \"air = ds.air - 273.15\\n\",\n+ \"\\n\",\n+ \"# resample from 6-hourly to daily values\\n\",\n+ \"air = air.resample(time=\\\"D\\\").mean()\\n\",\n+ \"\\n\",\n+ \"air\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"Plot the first timestep:\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:59.887120Z\",\n+ \"start_time\": \"2020-03-17T14:43:59.582894Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"projection = ccrs.LambertConformal(central_longitude=-95, central_latitude=45)\\n\",\n+ \"\\n\",\n+ \"f, ax = plt.subplots(subplot_kw=dict(projection=projection))\\n\",\n+ \"\\n\",\n+ \"air.isel(time=0).plot(transform=ccrs.PlateCarree(), cbar_kwargs=dict(shrink=0.7))\\n\",\n+ \"ax.coastlines()\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Creating weights\\n\",\n+ \"\\n\",\n+ \"For a for a rectangular grid the cosine of the latitude is proportional to the grid cell area.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:18.777092Z\",\n+ \"start_time\": \"2020-03-17T14:44:18.736587Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weights = np.cos(np.deg2rad(air.lat))\\n\",\n+ \"weights.name = \\\"weights\\\"\\n\",\n+ \"weights\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Weighted mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:52.607120Z\",\n+ \"start_time\": \"2020-03-17T14:44:52.564674Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"air_weighted = air.weighted(weights)\\n\",\n+ \"air_weighted\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:54.334279Z\",\n+ \"start_time\": \"2020-03-17T14:44:54.280022Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean = air_weighted.mean((\\\"lon\\\", \\\"lat\\\"))\\n\",\n+ \"weighted_mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Plot: comparison with unweighted mean\\n\",\n+ \"\\n\",\n+ \"Note how the weighted mean temperature is higher than the unweighted.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:45:08.877307Z\",\n+ \"start_time\": \"2020-03-17T14:45:08.673383Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean.plot(label=\\\"weighted\\\")\\n\",\n+ \"air.mean((\\\"lon\\\", \\\"lat\\\")).plot(label=\\\"unweighted\\\")\\n\",\n+ \"\\n\",\n+ \"plt.legend()\"\n+ ]\n+ }\n+ ],\n+ \"metadata\": {\n+ \"kernelspec\": {\n+ \"display_name\": \"Python 3\",\n+ \"language\": \"python\",\n+ \"name\": \"python3\"\n+ },\n+ \"language_info\": {\n+ \"codemirror_mode\": {\n+ \"name\": \"ipython\",\n+ \"version\": 3\n+ },\n+ \"file_extension\": \".py\",\n+ \"mimetype\": \"text/x-python\",\n+ \"name\": \"python\",\n+ \"nbconvert_exporter\": \"python\",\n+ \"pygments_lexer\": \"ipython3\",\n+ \"version\": \"3.7.6\"\n+ },\n+ \"toc\": {\n+ \"base_numbering\": 1,\n+ \"nav_menu\": {},\n+ \"number_sections\": true,\n+ \"sideBar\": true,\n+ \"skip_h1_title\": false,\n+ \"title_cell\": \"Table of Contents\",\n+ \"title_sidebar\": \"Contents\",\n+ \"toc_cell\": true,\n+ \"toc_position\": {},\n+ \"toc_section_display\": true,\n+ \"toc_window_display\": true\n+ }\n+ },\n+ \"nbformat\": 4,\n+ \"nbformat_minor\": 4\n+}\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex aad0e083a8c..5640e872bea 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n New Features\n ~~~~~~~~~~~~\n \n+- Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted`\n+ and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. (:issue:`422`, :pull:`2922`).\n+ By `Mathias Hauser <https://github.com/mathause>`_\n - Added support for :py:class:`pandas.DatetimeIndex`-style rounding of\n ``cftime.datetime`` objects directly via a :py:class:`CFTimeIndex` or via the\n :py:class:`~core.accessor_dt.DatetimeAccessor`.\ndiff --git a/xarray/core/common.py b/xarray/core/common.py\nindex 39aa7982091..a003642076f 100644\n--- a/xarray/core/common.py\n+++ b/xarray/core/common.py\n@@ -745,6 +745,25 @@ def groupby_bins(\n },\n )\n \n+ def weighted(self, weights):\n+ \"\"\"\n+ Weighted operations.\n+\n+ Parameters\n+ ----------\n+ weights : DataArray\n+ An array of weights associated with the values in this Dataset.\n+ Each value in the data contributes to the reduction operation\n+ according to its associated weight.\n+\n+ Notes\n+ -----\n+ ``weights`` must be a DataArray and cannot contain missing values.\n+ Missing values can be replaced by ``weights.fillna(0)``.\n+ \"\"\"\n+\n+ return self._weighted_cls(self, weights)\n+\n def rolling(\n self,\n dim: Mapping[Hashable, int] = None,\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex b335eeb293b..4b3ecb2744c 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -33,6 +33,7 @@\n resample,\n rolling,\n utils,\n+ weighted,\n )\n from .accessor_dt import CombinedDatetimelikeAccessor\n from .accessor_str import StringAccessor\n@@ -258,6 +259,7 @@ class DataArray(AbstractArray, DataWithCoords):\n _rolling_cls = rolling.DataArrayRolling\n _coarsen_cls = rolling.DataArrayCoarsen\n _resample_cls = resample.DataArrayResample\n+ _weighted_cls = weighted.DataArrayWeighted\n \n dt = property(CombinedDatetimelikeAccessor)\n \ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex d5ad1123a54..c10447f6d11 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -46,6 +46,7 @@\n resample,\n rolling,\n utils,\n+ weighted,\n )\n from .alignment import _broadcast_helper, _get_broadcast_dims_map_common_coords, align\n from .common import (\n@@ -457,6 +458,7 @@ class Dataset(Mapping, ImplementsDatasetReduce, DataWithCoords):\n _rolling_cls = rolling.DatasetRolling\n _coarsen_cls = rolling.DatasetCoarsen\n _resample_cls = resample.DatasetResample\n+ _weighted_cls = weighted.DatasetWeighted\n \n def __init__(\n self,\ndiff --git a/xarray/core/weighted.py b/xarray/core/weighted.py\nnew file mode 100644\nindex 00000000000..996d2e4c43e\n--- /dev/null\n+++ b/xarray/core/weighted.py\n@@ -0,0 +1,255 @@\n+from typing import TYPE_CHECKING, Hashable, Iterable, Optional, Union, overload\n+\n+from .computation import dot\n+from .options import _get_keep_attrs\n+\n+if TYPE_CHECKING:\n+ from .dataarray import DataArray, Dataset\n+\n+_WEIGHTED_REDUCE_DOCSTRING_TEMPLATE = \"\"\"\n+ Reduce this {cls}'s data by a weighted ``{fcn}`` along some dimension(s).\n+\n+ Parameters\n+ ----------\n+ dim : str or sequence of str, optional\n+ Dimension(s) over which to apply the weighted ``{fcn}``.\n+ skipna : bool, optional\n+ If True, skip missing values (as marked by NaN). By default, only\n+ skips missing values for float dtypes; other dtypes either do not\n+ have a sentinel missing value (int) or skipna=True has not been\n+ implemented (object, datetime64 or timedelta64).\n+ keep_attrs : bool, optional\n+ If True, the attributes (``attrs``) will be copied from the original\n+ object to the new one. If False (default), the new object will be\n+ returned without attributes.\n+\n+ Returns\n+ -------\n+ reduced : {cls}\n+ New {cls} object with weighted ``{fcn}`` applied to its data and\n+ the indicated dimension(s) removed.\n+\n+ Notes\n+ -----\n+ Returns {on_zero} if the ``weights`` sum to 0.0 along the reduced\n+ dimension(s).\n+ \"\"\"\n+\n+_SUM_OF_WEIGHTS_DOCSTRING = \"\"\"\n+ Calculate the sum of weights, accounting for missing values in the data\n+\n+ Parameters\n+ ----------\n+ dim : str or sequence of str, optional\n+ Dimension(s) over which to sum the weights.\n+ keep_attrs : bool, optional\n+ If True, the attributes (``attrs``) will be copied from the original\n+ object to the new one. If False (default), the new object will be\n+ returned without attributes.\n+\n+ Returns\n+ -------\n+ reduced : {cls}\n+ New {cls} object with the sum of the weights over the given dimension.\n+ \"\"\"\n+\n+\n+class Weighted:\n+ \"\"\"An object that implements weighted operations.\n+\n+ You should create a Weighted object by using the ``DataArray.weighted`` or\n+ ``Dataset.weighted`` methods.\n+\n+ See Also\n+ --------\n+ Dataset.weighted\n+ DataArray.weighted\n+ \"\"\"\n+\n+ __slots__ = (\"obj\", \"weights\")\n+\n+ @overload\n+ def __init__(self, obj: \"DataArray\", weights: \"DataArray\") -> None:\n+ ...\n+\n+ @overload # noqa: F811\n+ def __init__(self, obj: \"Dataset\", weights: \"DataArray\") -> None: # noqa: F811\n+ ...\n+\n+ def __init__(self, obj, weights): # noqa: F811\n+ \"\"\"\n+ Create a Weighted object\n+\n+ Parameters\n+ ----------\n+ obj : DataArray or Dataset\n+ Object over which the weighted reduction operation is applied.\n+ weights : DataArray\n+ An array of weights associated with the values in the obj.\n+ Each value in the obj contributes to the reduction operation\n+ according to its associated weight.\n+\n+ Notes\n+ -----\n+ ``weights`` must be a ``DataArray`` and cannot contain missing values.\n+ Missing values can be replaced by ``weights.fillna(0)``.\n+ \"\"\"\n+\n+ from .dataarray import DataArray\n+\n+ if not isinstance(weights, DataArray):\n+ raise ValueError(\"`weights` must be a DataArray\")\n+\n+ if weights.isnull().any():\n+ raise ValueError(\n+ \"`weights` cannot contain missing values. \"\n+ \"Missing values can be replaced by `weights.fillna(0)`.\"\n+ )\n+\n+ self.obj = obj\n+ self.weights = weights\n+\n+ @staticmethod\n+ def _reduce(\n+ da: \"DataArray\",\n+ weights: \"DataArray\",\n+ dim: Optional[Union[Hashable, Iterable[Hashable]]] = None,\n+ skipna: Optional[bool] = None,\n+ ) -> \"DataArray\":\n+ \"\"\"reduce using dot; equivalent to (da * weights).sum(dim, skipna)\n+\n+ for internal use only\n+ \"\"\"\n+\n+ # need to infer dims as we use `dot`\n+ if dim is None:\n+ dim = ...\n+\n+ # need to mask invalid values in da, as `dot` does not implement skipna\n+ if skipna or (skipna is None and da.dtype.kind in \"cfO\"):\n+ da = da.fillna(0.0)\n+\n+ # `dot` does not broadcast arrays, so this avoids creating a large\n+ # DataArray (if `weights` has additional dimensions)\n+ # maybe add fasttrack (`(da * weights).sum(dims=dim, skipna=skipna)`)\n+ return dot(da, weights, dims=dim)\n+\n+ def _sum_of_weights(\n+ self, da: \"DataArray\", dim: Optional[Union[Hashable, Iterable[Hashable]]] = None\n+ ) -> \"DataArray\":\n+ \"\"\" Calculate the sum of weights, accounting for missing values \"\"\"\n+\n+ # we need to mask data values that are nan; else the weights are wrong\n+ mask = da.notnull()\n+\n+ sum_of_weights = self._reduce(mask, self.weights, dim=dim, skipna=False)\n+\n+ # 0-weights are not valid\n+ valid_weights = sum_of_weights != 0.0\n+\n+ return sum_of_weights.where(valid_weights)\n+\n+ def _weighted_sum(\n+ self,\n+ da: \"DataArray\",\n+ dim: Optional[Union[Hashable, Iterable[Hashable]]] = None,\n+ skipna: Optional[bool] = None,\n+ ) -> \"DataArray\":\n+ \"\"\"Reduce a DataArray by a by a weighted ``sum`` along some dimension(s).\"\"\"\n+\n+ return self._reduce(da, self.weights, dim=dim, skipna=skipna)\n+\n+ def _weighted_mean(\n+ self,\n+ da: \"DataArray\",\n+ dim: Optional[Union[Hashable, Iterable[Hashable]]] = None,\n+ skipna: Optional[bool] = None,\n+ ) -> \"DataArray\":\n+ \"\"\"Reduce a DataArray by a weighted ``mean`` along some dimension(s).\"\"\"\n+\n+ weighted_sum = self._weighted_sum(da, dim=dim, skipna=skipna)\n+\n+ sum_of_weights = self._sum_of_weights(da, dim=dim)\n+\n+ return weighted_sum / sum_of_weights\n+\n+ def _implementation(self, func, dim, **kwargs):\n+\n+ raise NotImplementedError(\"Use `Dataset.weighted` or `DataArray.weighted`\")\n+\n+ def sum_of_weights(\n+ self,\n+ dim: Optional[Union[Hashable, Iterable[Hashable]]] = None,\n+ keep_attrs: Optional[bool] = None,\n+ ) -> Union[\"DataArray\", \"Dataset\"]:\n+\n+ return self._implementation(\n+ self._sum_of_weights, dim=dim, keep_attrs=keep_attrs\n+ )\n+\n+ def sum(\n+ self,\n+ dim: Optional[Union[Hashable, Iterable[Hashable]]] = None,\n+ skipna: Optional[bool] = None,\n+ keep_attrs: Optional[bool] = None,\n+ ) -> Union[\"DataArray\", \"Dataset\"]:\n+\n+ return self._implementation(\n+ self._weighted_sum, dim=dim, skipna=skipna, keep_attrs=keep_attrs\n+ )\n+\n+ def mean(\n+ self,\n+ dim: Optional[Union[Hashable, Iterable[Hashable]]] = None,\n+ skipna: Optional[bool] = None,\n+ keep_attrs: Optional[bool] = None,\n+ ) -> Union[\"DataArray\", \"Dataset\"]:\n+\n+ return self._implementation(\n+ self._weighted_mean, dim=dim, skipna=skipna, keep_attrs=keep_attrs\n+ )\n+\n+ def __repr__(self):\n+ \"\"\"provide a nice str repr of our Weighted object\"\"\"\n+\n+ klass = self.__class__.__name__\n+ weight_dims = \", \".join(self.weights.dims)\n+ return f\"{klass} with weights along dimensions: {weight_dims}\"\n+\n+\n+class DataArrayWeighted(Weighted):\n+ def _implementation(self, func, dim, **kwargs):\n+\n+ keep_attrs = kwargs.pop(\"keep_attrs\")\n+ if keep_attrs is None:\n+ keep_attrs = _get_keep_attrs(default=False)\n+\n+ weighted = func(self.obj, dim=dim, **kwargs)\n+\n+ if keep_attrs:\n+ weighted.attrs = self.obj.attrs\n+\n+ return weighted\n+\n+\n+class DatasetWeighted(Weighted):\n+ def _implementation(self, func, dim, **kwargs) -> \"Dataset\":\n+\n+ return self.obj.map(func, dim=dim, **kwargs)\n+\n+\n+def _inject_docstring(cls, cls_name):\n+\n+ cls.sum_of_weights.__doc__ = _SUM_OF_WEIGHTS_DOCSTRING.format(cls=cls_name)\n+\n+ cls.sum.__doc__ = _WEIGHTED_REDUCE_DOCSTRING_TEMPLATE.format(\n+ cls=cls_name, fcn=\"sum\", on_zero=\"0\"\n+ )\n+\n+ cls.mean.__doc__ = _WEIGHTED_REDUCE_DOCSTRING_TEMPLATE.format(\n+ cls=cls_name, fcn=\"mean\", on_zero=\"NaN\"\n+ )\n+\n+\n+_inject_docstring(DataArrayWeighted, \"DataArray\")\n+_inject_docstring(DatasetWeighted, \"Dataset\")\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_weighted.py b/xarray/tests/test_weighted.py\nnew file mode 100644\nindex 00000000000..24531215dfb\n--- /dev/null\n+++ b/xarray/tests/test_weighted.py\n@@ -0,0 +1,311 @@\n+import numpy as np\n+import pytest\n+\n+import xarray as xr\n+from xarray import DataArray\n+from xarray.tests import assert_allclose, assert_equal, raises_regex\n+\n+\n+@pytest.mark.parametrize(\"as_dataset\", (True, False))\n+def test_weighted_non_DataArray_weights(as_dataset):\n+\n+ data = DataArray([1, 2])\n+ if as_dataset:\n+ data = data.to_dataset(name=\"data\")\n+\n+ with raises_regex(ValueError, \"`weights` must be a DataArray\"):\n+ data.weighted([1, 2])\n+\n+\n+@pytest.mark.parametrize(\"as_dataset\", (True, False))\n+@pytest.mark.parametrize(\"weights\", ([np.nan, 2], [np.nan, np.nan]))\n+def test_weighted_weights_nan_raises(as_dataset, weights):\n+\n+ data = DataArray([1, 2])\n+ if as_dataset:\n+ data = data.to_dataset(name=\"data\")\n+\n+ with pytest.raises(ValueError, match=\"`weights` cannot contain missing values.\"):\n+ data.weighted(DataArray(weights))\n+\n+\n+@pytest.mark.parametrize(\n+ (\"weights\", \"expected\"),\n+ (([1, 2], 3), ([2, 0], 2), ([0, 0], np.nan), ([-1, 1], np.nan)),\n+)\n+def test_weighted_sum_of_weights_no_nan(weights, expected):\n+\n+ da = DataArray([1, 2])\n+ weights = DataArray(weights)\n+ result = da.weighted(weights).sum_of_weights()\n+\n+ expected = DataArray(expected)\n+\n+ assert_equal(expected, result)\n+\n+\n+@pytest.mark.parametrize(\n+ (\"weights\", \"expected\"),\n+ (([1, 2], 2), ([2, 0], np.nan), ([0, 0], np.nan), ([-1, 1], 1)),\n+)\n+def test_weighted_sum_of_weights_nan(weights, expected):\n+\n+ da = DataArray([np.nan, 2])\n+ weights = DataArray(weights)\n+ result = da.weighted(weights).sum_of_weights()\n+\n+ expected = DataArray(expected)\n+\n+ assert_equal(expected, result)\n+\n+\n+@pytest.mark.parametrize(\"da\", ([1.0, 2], [1, np.nan], [np.nan, np.nan]))\n+@pytest.mark.parametrize(\"factor\", [0, 1, 3.14])\n+@pytest.mark.parametrize(\"skipna\", (True, False))\n+def test_weighted_sum_equal_weights(da, factor, skipna):\n+ # if all weights are 'f'; weighted sum is f times the ordinary sum\n+\n+ da = DataArray(da)\n+ weights = xr.full_like(da, factor)\n+\n+ expected = da.sum(skipna=skipna) * factor\n+ result = da.weighted(weights).sum(skipna=skipna)\n+\n+ assert_equal(expected, result)\n+\n+\n+@pytest.mark.parametrize(\n+ (\"weights\", \"expected\"), (([1, 2], 5), ([0, 2], 4), ([0, 0], 0))\n+)\n+def test_weighted_sum_no_nan(weights, expected):\n+\n+ da = DataArray([1, 2])\n+\n+ weights = DataArray(weights)\n+ result = da.weighted(weights).sum()\n+ expected = DataArray(expected)\n+\n+ assert_equal(expected, result)\n+\n+\n+@pytest.mark.parametrize(\n+ (\"weights\", \"expected\"), (([1, 2], 4), ([0, 2], 4), ([1, 0], 0), ([0, 0], 0))\n+)\n+@pytest.mark.parametrize(\"skipna\", (True, False))\n+def test_weighted_sum_nan(weights, expected, skipna):\n+\n+ da = DataArray([np.nan, 2])\n+\n+ weights = DataArray(weights)\n+ result = da.weighted(weights).sum(skipna=skipna)\n+\n+ if skipna:\n+ expected = DataArray(expected)\n+ else:\n+ expected = DataArray(np.nan)\n+\n+ assert_equal(expected, result)\n+\n+\n+@pytest.mark.filterwarnings(\"ignore:Mean of empty slice\")\n+@pytest.mark.parametrize(\"da\", ([1.0, 2], [1, np.nan], [np.nan, np.nan]))\n+@pytest.mark.parametrize(\"skipna\", (True, False))\n+@pytest.mark.parametrize(\"factor\", [1, 2, 3.14])\n+def test_weighted_mean_equal_weights(da, skipna, factor):\n+ # if all weights are equal (!= 0), should yield the same result as mean\n+\n+ da = DataArray(da)\n+\n+ # all weights as 1.\n+ weights = xr.full_like(da, factor)\n+\n+ expected = da.mean(skipna=skipna)\n+ result = da.weighted(weights).mean(skipna=skipna)\n+\n+ assert_equal(expected, result)\n+\n+\n+@pytest.mark.parametrize(\n+ (\"weights\", \"expected\"), (([4, 6], 1.6), ([1, 0], 1.0), ([0, 0], np.nan))\n+)\n+def test_weighted_mean_no_nan(weights, expected):\n+\n+ da = DataArray([1, 2])\n+ weights = DataArray(weights)\n+ expected = DataArray(expected)\n+\n+ result = da.weighted(weights).mean()\n+\n+ assert_equal(expected, result)\n+\n+\n+@pytest.mark.parametrize(\n+ (\"weights\", \"expected\"), (([4, 6], 2.0), ([1, 0], np.nan), ([0, 0], np.nan))\n+)\n+@pytest.mark.parametrize(\"skipna\", (True, False))\n+def test_weighted_mean_nan(weights, expected, skipna):\n+\n+ da = DataArray([np.nan, 2])\n+ weights = DataArray(weights)\n+\n+ if skipna:\n+ expected = DataArray(expected)\n+ else:\n+ expected = DataArray(np.nan)\n+\n+ result = da.weighted(weights).mean(skipna=skipna)\n+\n+ assert_equal(expected, result)\n+\n+\n+def expected_weighted(da, weights, dim, skipna, operation):\n+ \"\"\"\n+ Generate expected result using ``*`` and ``sum``. This is checked against\n+ the result of da.weighted which uses ``dot``\n+ \"\"\"\n+\n+ weighted_sum = (da * weights).sum(dim=dim, skipna=skipna)\n+\n+ if operation == \"sum\":\n+ return weighted_sum\n+\n+ masked_weights = weights.where(da.notnull())\n+ sum_of_weights = masked_weights.sum(dim=dim, skipna=True)\n+ valid_weights = sum_of_weights != 0\n+ sum_of_weights = sum_of_weights.where(valid_weights)\n+\n+ if operation == \"sum_of_weights\":\n+ return sum_of_weights\n+\n+ weighted_mean = weighted_sum / sum_of_weights\n+\n+ if operation == \"mean\":\n+ return weighted_mean\n+\n+\n+@pytest.mark.parametrize(\"dim\", (\"a\", \"b\", \"c\", (\"a\", \"b\"), (\"a\", \"b\", \"c\"), None))\n+@pytest.mark.parametrize(\"operation\", (\"sum_of_weights\", \"sum\", \"mean\"))\n+@pytest.mark.parametrize(\"add_nans\", (True, False))\n+@pytest.mark.parametrize(\"skipna\", (None, True, False))\n+@pytest.mark.parametrize(\"as_dataset\", (True, False))\n+def test_weighted_operations_3D(dim, operation, add_nans, skipna, as_dataset):\n+\n+ dims = (\"a\", \"b\", \"c\")\n+ coords = dict(a=[0, 1, 2, 3], b=[0, 1, 2, 3], c=[0, 1, 2, 3])\n+\n+ weights = DataArray(np.random.randn(4, 4, 4), dims=dims, coords=coords)\n+\n+ data = np.random.randn(4, 4, 4)\n+\n+ # add approximately 25 % NaNs (https://stackoverflow.com/a/32182680/3010700)\n+ if add_nans:\n+ c = int(data.size * 0.25)\n+ data.ravel()[np.random.choice(data.size, c, replace=False)] = np.NaN\n+\n+ data = DataArray(data, dims=dims, coords=coords)\n+\n+ if as_dataset:\n+ data = data.to_dataset(name=\"data\")\n+\n+ if operation == \"sum_of_weights\":\n+ result = data.weighted(weights).sum_of_weights(dim)\n+ else:\n+ result = getattr(data.weighted(weights), operation)(dim, skipna=skipna)\n+\n+ expected = expected_weighted(data, weights, dim, skipna, operation)\n+\n+ assert_allclose(expected, result)\n+\n+\n+@pytest.mark.parametrize(\"operation\", (\"sum_of_weights\", \"sum\", \"mean\"))\n+@pytest.mark.parametrize(\"as_dataset\", (True, False))\n+def test_weighted_operations_nonequal_coords(operation, as_dataset):\n+\n+ weights = DataArray(np.random.randn(4), dims=(\"a\",), coords=dict(a=[0, 1, 2, 3]))\n+ data = DataArray(np.random.randn(4), dims=(\"a\",), coords=dict(a=[1, 2, 3, 4]))\n+\n+ if as_dataset:\n+ data = data.to_dataset(name=\"data\")\n+\n+ expected = expected_weighted(\n+ data, weights, dim=\"a\", skipna=None, operation=operation\n+ )\n+ result = getattr(data.weighted(weights), operation)(dim=\"a\")\n+\n+ assert_allclose(expected, result)\n+\n+\n+@pytest.mark.parametrize(\"dim\", (\"dim_0\", None))\n+@pytest.mark.parametrize(\"shape_data\", ((4,), (4, 4), (4, 4, 4)))\n+@pytest.mark.parametrize(\"shape_weights\", ((4,), (4, 4), (4, 4, 4)))\n+@pytest.mark.parametrize(\"operation\", (\"sum_of_weights\", \"sum\", \"mean\"))\n+@pytest.mark.parametrize(\"add_nans\", (True, False))\n+@pytest.mark.parametrize(\"skipna\", (None, True, False))\n+@pytest.mark.parametrize(\"as_dataset\", (True, False))\n+def test_weighted_operations_different_shapes(\n+ dim, shape_data, shape_weights, operation, add_nans, skipna, as_dataset\n+):\n+\n+ weights = DataArray(np.random.randn(*shape_weights))\n+\n+ data = np.random.randn(*shape_data)\n+\n+ # add approximately 25 % NaNs\n+ if add_nans:\n+ c = int(data.size * 0.25)\n+ data.ravel()[np.random.choice(data.size, c, replace=False)] = np.NaN\n+\n+ data = DataArray(data)\n+\n+ if as_dataset:\n+ data = data.to_dataset(name=\"data\")\n+\n+ if operation == \"sum_of_weights\":\n+ result = getattr(data.weighted(weights), operation)(dim)\n+ else:\n+ result = getattr(data.weighted(weights), operation)(dim, skipna=skipna)\n+\n+ expected = expected_weighted(data, weights, dim, skipna, operation)\n+\n+ assert_allclose(expected, result)\n+\n+\n+@pytest.mark.parametrize(\"operation\", (\"sum_of_weights\", \"sum\", \"mean\"))\n+@pytest.mark.parametrize(\"as_dataset\", (True, False))\n+@pytest.mark.parametrize(\"keep_attrs\", (True, False, None))\n+def test_weighted_operations_keep_attr(operation, as_dataset, keep_attrs):\n+\n+ weights = DataArray(np.random.randn(2, 2), attrs=dict(attr=\"weights\"))\n+ data = DataArray(np.random.randn(2, 2))\n+\n+ if as_dataset:\n+ data = data.to_dataset(name=\"data\")\n+\n+ data.attrs = dict(attr=\"weights\")\n+\n+ result = getattr(data.weighted(weights), operation)(keep_attrs=True)\n+\n+ if operation == \"sum_of_weights\":\n+ assert weights.attrs == result.attrs\n+ else:\n+ assert data.attrs == result.attrs\n+\n+ result = getattr(data.weighted(weights), operation)(keep_attrs=None)\n+ assert not result.attrs\n+\n+ result = getattr(data.weighted(weights), operation)(keep_attrs=False)\n+ assert not result.attrs\n+\n+\n+@pytest.mark.xfail(reason=\"xr.Dataset.map does not copy attrs of DataArrays GH: 3595\")\n+@pytest.mark.parametrize(\"operation\", (\"sum\", \"mean\"))\n+def test_weighted_operations_keep_attr_da_in_ds(operation):\n+ # GH #3595\n+\n+ weights = DataArray(np.random.randn(2, 2))\n+ data = DataArray(np.random.randn(2, 2), attrs=dict(attr=\"data\"))\n+ data = data.to_dataset(name=\"a\")\n+\n+ result = getattr(data.weighted(weights), operation)(keep_attrs=True)\n+\n+ assert data.a.attrs == result.a.attrs\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex 4492d882355..43a9cf53ead 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -165,6 +165,7 @@ Computation\n Dataset.groupby_bins\n Dataset.rolling\n Dataset.rolling_exp\n+ Dataset.weighted\n Dataset.coarsen\n Dataset.resample\n Dataset.diff\n@@ -340,6 +341,7 @@ Computation\n DataArray.groupby_bins\n DataArray.rolling\n DataArray.rolling_exp\n+ DataArray.weighted\n DataArray.coarsen\n DataArray.dt\n DataArray.resample\n@@ -577,6 +579,22 @@ Rolling objects\n core.rolling.DatasetRolling.reduce\n core.rolling_exp.RollingExp\n \n+Weighted objects\n+================\n+\n+.. autosummary::\n+ :toctree: generated/\n+\n+ core.weighted.DataArrayWeighted\n+ core.weighted.DataArrayWeighted.mean\n+ core.weighted.DataArrayWeighted.sum\n+ core.weighted.DataArrayWeighted.sum_of_weights\n+ core.weighted.DatasetWeighted\n+ core.weighted.DatasetWeighted.mean\n+ core.weighted.DatasetWeighted.sum\n+ core.weighted.DatasetWeighted.sum_of_weights\n+\n+\n Coarsen objects\n ===============\n \n"},{"path":"doc/computation.rst","old_path":"a/doc/computation.rst","new_path":"b/doc/computation.rst","metadata":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 1ac30f55ee7..5309f27e9b6 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -1,3 +1,5 @@\n+.. currentmodule:: xarray\n+\n .. _comput:\n \n ###########\n@@ -241,12 +243,94 @@ You can also use ``construct`` to compute a weighted rolling sum:\n To avoid this, use ``skipna=False`` as the above example.\n \n \n+.. _comput.weighted:\n+\n+Weighted array reductions\n+=========================\n+\n+:py:class:`DataArray` and :py:class:`Dataset` objects include :py:meth:`DataArray.weighted`\n+and :py:meth:`Dataset.weighted` array reduction methods. They currently\n+support weighted ``sum`` and weighted ``mean``.\n+\n+.. ipython:: python\n+\n+ coords = dict(month=('month', [1, 2, 3]))\n+\n+ prec = xr.DataArray([1.1, 1.0, 0.9], dims=('month', ), coords=coords)\n+ weights = xr.DataArray([31, 28, 31], dims=('month', ), coords=coords)\n+\n+Create a weighted object:\n+\n+.. ipython:: python\n+\n+ weighted_prec = prec.weighted(weights)\n+ weighted_prec\n+\n+Calculate the weighted sum:\n+\n+.. ipython:: python\n+\n+ weighted_prec.sum()\n+\n+Calculate the weighted mean:\n+\n+.. ipython:: python\n+\n+ weighted_prec.mean(dim=\"month\")\n+\n+The weighted sum corresponds to:\n+\n+.. ipython:: python\n+\n+ weighted_sum = (prec * weights).sum()\n+ weighted_sum\n+\n+and the weighted mean to:\n+\n+.. ipython:: python\n+\n+ weighted_mean = weighted_sum / weights.sum()\n+ weighted_mean\n+\n+However, the functions also take missing values in the data into account:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([np.NaN, 2, 4])\n+ weights = xr.DataArray([8, 1, 1])\n+\n+ data.weighted(weights).mean()\n+\n+Using ``(data * weights).sum() / weights.sum()`` would (incorrectly) result\n+in 0.6.\n+\n+\n+If the weights add up to to 0, ``sum`` returns 0:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([1.0, 1.0])\n+ weights = xr.DataArray([-1.0, 1.0])\n+\n+ data.weighted(weights).sum()\n+\n+and ``mean`` returns ``NaN``:\n+\n+.. ipython:: python\n+\n+ data.weighted(weights).mean()\n+\n+\n+.. note::\n+ ``weights`` must be a :py:class:`DataArray` and cannot contain missing values.\n+ Missing values can be replaced manually by ``weights.fillna(0)``.\n+\n .. _comput.coarsen:\n \n Coarsen large arrays\n ====================\n \n-``DataArray`` and ``Dataset`` objects include a\n+:py:class:`DataArray` and :py:class:`Dataset` objects include a\n :py:meth:`~xarray.DataArray.coarsen` and :py:meth:`~xarray.Dataset.coarsen`\n methods. This supports the block aggregation along multiple dimensions,\n \n"},{"path":"doc/examples.rst","old_path":"a/doc/examples.rst","new_path":"b/doc/examples.rst","metadata":"diff --git a/doc/examples.rst b/doc/examples.rst\nindex 805395808e0..1d48d29bcc5 100644\n--- a/doc/examples.rst\n+++ b/doc/examples.rst\n@@ -6,6 +6,7 @@ Examples\n \n examples/weather-data\n examples/monthly-means\n+ examples/area_weighted_temperature\n examples/multidimensional-coords\n examples/visualization_gallery\n examples/ROMS_ocean_model\n"},{"path":"doc/examples/area_weighted_temperature.ipynb","old_path":"/dev/null","new_path":"b/doc/examples/area_weighted_temperature.ipynb","metadata":"diff --git a/doc/examples/area_weighted_temperature.ipynb b/doc/examples/area_weighted_temperature.ipynb\nnew file mode 100644\nindex 00000000000..72876e3fc29\n--- /dev/null\n+++ b/doc/examples/area_weighted_temperature.ipynb\n@@ -0,0 +1,226 @@\n+{\n+ \"cells\": [\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {\n+ \"toc\": true\n+ },\n+ \"source\": [\n+ \"<h1>Table of Contents<span class=\\\"tocSkip\\\"></span></h1>\\n\",\n+ \"<div class=\\\"toc\\\"><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Compare-weighted-and-unweighted-mean-temperature\\\" data-toc-modified-id=\\\"Compare-weighted-and-unweighted-mean-temperature-1\\\"><span class=\\\"toc-item-num\\\">1 </span>Compare weighted and unweighted mean temperature</a></span><ul class=\\\"toc-item\\\"><li><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Data\\\" data-toc-modified-id=\\\"Data-1.0.1\\\"><span class=\\\"toc-item-num\\\">1.0.1 </span>Data</a></span></li><li><span><a href=\\\"#Creating-weights\\\" data-toc-modified-id=\\\"Creating-weights-1.0.2\\\"><span class=\\\"toc-item-num\\\">1.0.2 </span>Creating weights</a></span></li><li><span><a href=\\\"#Weighted-mean\\\" data-toc-modified-id=\\\"Weighted-mean-1.0.3\\\"><span class=\\\"toc-item-num\\\">1.0.3 </span>Weighted mean</a></span></li><li><span><a href=\\\"#Plot:-comparison-with-unweighted-mean\\\" data-toc-modified-id=\\\"Plot:-comparison-with-unweighted-mean-1.0.4\\\"><span class=\\\"toc-item-num\\\">1.0.4 </span>Plot: comparison with unweighted mean</a></span></li></ul></li></ul></li></ul></div>\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"# Compare weighted and unweighted mean temperature\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"Author: [Mathias Hauser](https://github.com/mathause/)\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"We use the `air_temperature` example dataset to calculate the area-weighted temperature over its domain. This dataset has a regular latitude/ longitude grid, thus the gridcell area decreases towards the pole. For this grid we can use the cosine of the latitude as proxy for the grid cell area.\\n\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.222351Z\",\n+ \"start_time\": \"2020-03-17T14:43:56.147541Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"%matplotlib inline\\n\",\n+ \"\\n\",\n+ \"import cartopy.crs as ccrs\\n\",\n+ \"import matplotlib.pyplot as plt\\n\",\n+ \"import numpy as np\\n\",\n+ \"\\n\",\n+ \"import xarray as xr\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Data\\n\",\n+ \"\\n\",\n+ \"Load the data, convert to celsius, and resample to daily values\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.831734Z\",\n+ \"start_time\": \"2020-03-17T14:43:57.651845Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"ds = xr.tutorial.load_dataset(\\\"air_temperature\\\")\\n\",\n+ \"\\n\",\n+ \"# to celsius\\n\",\n+ \"air = ds.air - 273.15\\n\",\n+ \"\\n\",\n+ \"# resample from 6-hourly to daily values\\n\",\n+ \"air = air.resample(time=\\\"D\\\").mean()\\n\",\n+ \"\\n\",\n+ \"air\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"Plot the first timestep:\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:59.887120Z\",\n+ \"start_time\": \"2020-03-17T14:43:59.582894Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"projection = ccrs.LambertConformal(central_longitude=-95, central_latitude=45)\\n\",\n+ \"\\n\",\n+ \"f, ax = plt.subplots(subplot_kw=dict(projection=projection))\\n\",\n+ \"\\n\",\n+ \"air.isel(time=0).plot(transform=ccrs.PlateCarree(), cbar_kwargs=dict(shrink=0.7))\\n\",\n+ \"ax.coastlines()\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Creating weights\\n\",\n+ \"\\n\",\n+ \"For a for a rectangular grid the cosine of the latitude is proportional to the grid cell area.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:18.777092Z\",\n+ \"start_time\": \"2020-03-17T14:44:18.736587Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weights = np.cos(np.deg2rad(air.lat))\\n\",\n+ \"weights.name = \\\"weights\\\"\\n\",\n+ \"weights\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Weighted mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:52.607120Z\",\n+ \"start_time\": \"2020-03-17T14:44:52.564674Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"air_weighted = air.weighted(weights)\\n\",\n+ \"air_weighted\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:54.334279Z\",\n+ \"start_time\": \"2020-03-17T14:44:54.280022Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean = air_weighted.mean((\\\"lon\\\", \\\"lat\\\"))\\n\",\n+ \"weighted_mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Plot: comparison with unweighted mean\\n\",\n+ \"\\n\",\n+ \"Note how the weighted mean temperature is higher than the unweighted.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:45:08.877307Z\",\n+ \"start_time\": \"2020-03-17T14:45:08.673383Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean.plot(label=\\\"weighted\\\")\\n\",\n+ \"air.mean((\\\"lon\\\", \\\"lat\\\")).plot(label=\\\"unweighted\\\")\\n\",\n+ \"\\n\",\n+ \"plt.legend()\"\n+ ]\n+ }\n+ ],\n+ \"metadata\": {\n+ \"kernelspec\": {\n+ \"display_name\": \"Python 3\",\n+ \"language\": \"python\",\n+ \"name\": \"python3\"\n+ },\n+ \"language_info\": {\n+ \"codemirror_mode\": {\n+ \"name\": \"ipython\",\n+ \"version\": 3\n+ },\n+ \"file_extension\": \".py\",\n+ \"mimetype\": \"text/x-python\",\n+ \"name\": \"python\",\n+ \"nbconvert_exporter\": \"python\",\n+ \"pygments_lexer\": \"ipython3\",\n+ \"version\": \"3.7.6\"\n+ },\n+ \"toc\": {\n+ \"base_numbering\": 1,\n+ \"nav_menu\": {},\n+ \"number_sections\": true,\n+ \"sideBar\": true,\n+ \"skip_h1_title\": false,\n+ \"title_cell\": \"Table of Contents\",\n+ \"title_sidebar\": \"Contents\",\n+ \"toc_cell\": true,\n+ \"toc_position\": {},\n+ \"toc_section_display\": true,\n+ \"toc_window_display\": true\n+ }\n+ },\n+ \"nbformat\": 4,\n+ \"nbformat_minor\": 4\n+}\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex aad0e083a8c..5640e872bea 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n New Features\n ~~~~~~~~~~~~\n \n+- Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted`\n+ and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. (:issue:`422`, :pull:`2922`).\n+ By `Mathias Hauser <https://github.com/mathause>`_\n - Added support for :py:class:`pandas.DatetimeIndex`-style rounding of\n ``cftime.datetime`` objects directly via a :py:class:`CFTimeIndex` or via the\n :py:class:`~core.accessor_dt.DatetimeAccessor`.\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 4492d882355..43a9cf53ead 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -165,6 +165,7 @@ Computation\\n Dataset.groupby_bins\\n Dataset.rolling\\n Dataset.rolling_exp\\n+ Dataset.weighted\\n Dataset.coarsen\\n Dataset.resample\\n Dataset.diff\\n@@ -340,6 +341,7 @@ Computation\\n DataArray.groupby_bins\\n DataArray.rolling\\n DataArray.rolling_exp\\n+ DataArray.weighted\\n DataArray.coarsen\\n DataArray.dt\\n DataArray.resample\\n@@ -577,6 +579,22 @@ Rolling objects\\n core.rolling.DatasetRolling.reduce\\n core.rolling_exp.RollingExp\\n \\n+Weighted objects\\n+================\\n+\\n+.. autosummary::\\n+ :toctree: generated/\\n+\\n+ core.weighted.DataArrayWeighted\\n+ core.weighted.DataArrayWeighted.mean\\n+ core.weighted.DataArrayWeighted.sum\\n+ core.weighted.DataArrayWeighted.sum_of_weights\\n+ core.weighted.DatasetWeighted\\n+ core.weighted.DatasetWeighted.mean\\n+ core.weighted.DatasetWeighted.sum\\n+ core.weighted.DatasetWeighted.sum_of_weights\\n+\\n+\\n Coarsen objects\\n ===============\\n \\n\"\n },\n {\n \"path\": \"doc/computation.rst\",\n \"old_path\": \"a/doc/computation.rst\",\n \"new_path\": \"b/doc/computation.rst\",\n \"metadata\": \"diff --git a/doc/computation.rst b/doc/computation.rst\\nindex 1ac30f55ee7..5309f27e9b6 100644\\n--- a/doc/computation.rst\\n+++ b/doc/computation.rst\\n@@ -1,3 +1,5 @@\\n+.. currentmodule:: xarray\\n+\\n .. _comput:\\n \\n ###########\\n@@ -241,12 +243,94 @@ You can also use ``construct`` to compute a weighted rolling sum:\\n To avoid this, use ``skipna=False`` as the above example.\\n \\n \\n+.. _comput.weighted:\\n+\\n+Weighted array reductions\\n+=========================\\n+\\n+:py:class:`DataArray` and :py:class:`Dataset` objects include :py:meth:`DataArray.weighted`\\n+and :py:meth:`Dataset.weighted` array reduction methods. They currently\\n+support weighted ``sum`` and weighted ``mean``.\\n+\\n+.. ipython:: python\\n+\\n+ coords = dict(month=('month', [1, 2, 3]))\\n+\\n+ prec = xr.DataArray([1.1, 1.0, 0.9], dims=('month', ), coords=coords)\\n+ weights = xr.DataArray([31, 28, 31], dims=('month', ), coords=coords)\\n+\\n+Create a weighted object:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_prec = prec.weighted(weights)\\n+ weighted_prec\\n+\\n+Calculate the weighted sum:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_prec.sum()\\n+\\n+Calculate the weighted mean:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_prec.mean(dim=\\\"month\\\")\\n+\\n+The weighted sum corresponds to:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_sum = (prec * weights).sum()\\n+ weighted_sum\\n+\\n+and the weighted mean to:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_mean = weighted_sum / weights.sum()\\n+ weighted_mean\\n+\\n+However, the functions also take missing values in the data into account:\\n+\\n+.. ipython:: python\\n+\\n+ data = xr.DataArray([np.NaN, 2, 4])\\n+ weights = xr.DataArray([8, 1, 1])\\n+\\n+ data.weighted(weights).mean()\\n+\\n+Using ``(data * weights).sum() / weights.sum()`` would (incorrectly) result\\n+in 0.6.\\n+\\n+\\n+If the weights add up to to 0, ``sum`` returns 0:\\n+\\n+.. ipython:: python\\n+\\n+ data = xr.DataArray([1.0, 1.0])\\n+ weights = xr.DataArray([-1.0, 1.0])\\n+\\n+ data.weighted(weights).sum()\\n+\\n+and ``mean`` returns ``NaN``:\\n+\\n+.. ipython:: python\\n+\\n+ data.weighted(weights).mean()\\n+\\n+\\n+.. note::\\n+ ``weights`` must be a :py:class:`DataArray` and cannot contain missing values.\\n+ Missing values can be replaced manually by ``weights.fillna(0)``.\\n+\\n .. _comput.coarsen:\\n \\n Coarsen large arrays\\n ====================\\n \\n-``DataArray`` and ``Dataset`` objects include a\\n+:py:class:`DataArray` and :py:class:`Dataset` objects include a\\n :py:meth:`~xarray.DataArray.coarsen` and :py:meth:`~xarray.Dataset.coarsen`\\n methods. This supports the block aggregation along multiple dimensions,\\n \\n\"\n },\n {\n \"path\": \"doc/examples.rst\",\n \"old_path\": \"a/doc/examples.rst\",\n \"new_path\": \"b/doc/examples.rst\",\n \"metadata\": \"diff --git a/doc/examples.rst b/doc/examples.rst\\nindex 805395808e0..1d48d29bcc5 100644\\n--- a/doc/examples.rst\\n+++ b/doc/examples.rst\\n@@ -6,6 +6,7 @@ Examples\\n \\n examples/weather-data\\n examples/monthly-means\\n+ examples/area_weighted_temperature\\n examples/multidimensional-coords\\n examples/visualization_gallery\\n examples/ROMS_ocean_model\\n\"\n },\n {\n \"path\": \"doc/examples/area_weighted_temperature.ipynb\",\n \"old_path\": \"/dev/null\",\n \"new_path\": \"b/doc/examples/area_weighted_temperature.ipynb\",\n \"metadata\": \"diff --git a/doc/examples/area_weighted_temperature.ipynb b/doc/examples/area_weighted_temperature.ipynb\\nnew file mode 100644\\nindex 00000000000..72876e3fc29\\n--- /dev/null\\n+++ b/doc/examples/area_weighted_temperature.ipynb\\n@@ -0,0 +1,226 @@\\n+{\\n+ \\\"cells\\\": [\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {\\n+ \\\"toc\\\": true\\n+ },\\n+ \\\"source\\\": [\\n+ \\\"<h1>Table of Contents<span class=\\\\\\\"tocSkip\\\\\\\"></span></h1>\\\\n\\\",\\n+ \\\"<div class=\\\\\\\"toc\\\\\\\"><ul class=\\\\\\\"toc-item\\\\\\\"><li><span><a href=\\\\\\\"#Compare-weighted-and-unweighted-mean-temperature\\\\\\\" data-toc-modified-id=\\\\\\\"Compare-weighted-and-unweighted-mean-temperature-1\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1 </span>Compare weighted and unweighted mean temperature</a></span><ul class=\\\\\\\"toc-item\\\\\\\"><li><ul class=\\\\\\\"toc-item\\\\\\\"><li><span><a href=\\\\\\\"#Data\\\\\\\" data-toc-modified-id=\\\\\\\"Data-1.0.1\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.1 </span>Data</a></span></li><li><span><a href=\\\\\\\"#Creating-weights\\\\\\\" data-toc-modified-id=\\\\\\\"Creating-weights-1.0.2\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.2 </span>Creating weights</a></span></li><li><span><a href=\\\\\\\"#Weighted-mean\\\\\\\" data-toc-modified-id=\\\\\\\"Weighted-mean-1.0.3\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.3 </span>Weighted mean</a></span></li><li><span><a href=\\\\\\\"#Plot:-comparison-with-unweighted-mean\\\\\\\" data-toc-modified-id=\\\\\\\"Plot:-comparison-with-unweighted-mean-1.0.4\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.4 </span>Plot: comparison with unweighted mean</a></span></li></ul></li></ul></li></ul></div>\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"# Compare weighted and unweighted mean temperature\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"Author: [Mathias Hauser](https://github.com/mathause/)\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"We use the `air_temperature` example dataset to calculate the area-weighted temperature over its domain. This dataset has a regular latitude/ longitude grid, thus the gridcell area decreases towards the pole. For this grid we can use the cosine of the latitude as proxy for the grid cell area.\\\\n\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:43:57.222351Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:43:56.147541Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"%matplotlib inline\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"import cartopy.crs as ccrs\\\\n\\\",\\n+ \\\"import matplotlib.pyplot as plt\\\\n\\\",\\n+ \\\"import numpy as np\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"import xarray as xr\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Data\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"Load the data, convert to celsius, and resample to daily values\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:43:57.831734Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:43:57.651845Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"ds = xr.tutorial.load_dataset(\\\\\\\"air_temperature\\\\\\\")\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"# to celsius\\\\n\\\",\\n+ \\\"air = ds.air - 273.15\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"# resample from 6-hourly to daily values\\\\n\\\",\\n+ \\\"air = air.resample(time=\\\\\\\"D\\\\\\\").mean()\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"air\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"Plot the first timestep:\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:43:59.887120Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:43:59.582894Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"projection = ccrs.LambertConformal(central_longitude=-95, central_latitude=45)\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"f, ax = plt.subplots(subplot_kw=dict(projection=projection))\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"air.isel(time=0).plot(transform=ccrs.PlateCarree(), cbar_kwargs=dict(shrink=0.7))\\\\n\\\",\\n+ \\\"ax.coastlines()\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Creating weights\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"For a for a rectangular grid the cosine of the latitude is proportional to the grid cell area.\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:44:18.777092Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:44:18.736587Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"weights = np.cos(np.deg2rad(air.lat))\\\\n\\\",\\n+ \\\"weights.name = \\\\\\\"weights\\\\\\\"\\\\n\\\",\\n+ \\\"weights\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Weighted mean\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:44:52.607120Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:44:52.564674Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"air_weighted = air.weighted(weights)\\\\n\\\",\\n+ \\\"air_weighted\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:44:54.334279Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:44:54.280022Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"weighted_mean = air_weighted.mean((\\\\\\\"lon\\\\\\\", \\\\\\\"lat\\\\\\\"))\\\\n\\\",\\n+ \\\"weighted_mean\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Plot: comparison with unweighted mean\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"Note how the weighted mean temperature is higher than the unweighted.\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:45:08.877307Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:45:08.673383Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"weighted_mean.plot(label=\\\\\\\"weighted\\\\\\\")\\\\n\\\",\\n+ \\\"air.mean((\\\\\\\"lon\\\\\\\", \\\\\\\"lat\\\\\\\")).plot(label=\\\\\\\"unweighted\\\\\\\")\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"plt.legend()\\\"\\n+ ]\\n+ }\\n+ ],\\n+ \\\"metadata\\\": {\\n+ \\\"kernelspec\\\": {\\n+ \\\"display_name\\\": \\\"Python 3\\\",\\n+ \\\"language\\\": \\\"python\\\",\\n+ \\\"name\\\": \\\"python3\\\"\\n+ },\\n+ \\\"language_info\\\": {\\n+ \\\"codemirror_mode\\\": {\\n+ \\\"name\\\": \\\"ipython\\\",\\n+ \\\"version\\\": 3\\n+ },\\n+ \\\"file_extension\\\": \\\".py\\\",\\n+ \\\"mimetype\\\": \\\"text/x-python\\\",\\n+ \\\"name\\\": \\\"python\\\",\\n+ \\\"nbconvert_exporter\\\": \\\"python\\\",\\n+ \\\"pygments_lexer\\\": \\\"ipython3\\\",\\n+ \\\"version\\\": \\\"3.7.6\\\"\\n+ },\\n+ \\\"toc\\\": {\\n+ \\\"base_numbering\\\": 1,\\n+ \\\"nav_menu\\\": {},\\n+ \\\"number_sections\\\": true,\\n+ \\\"sideBar\\\": true,\\n+ \\\"skip_h1_title\\\": false,\\n+ \\\"title_cell\\\": \\\"Table of Contents\\\",\\n+ \\\"title_sidebar\\\": \\\"Contents\\\",\\n+ \\\"toc_cell\\\": true,\\n+ \\\"toc_position\\\": {},\\n+ \\\"toc_section_display\\\": true,\\n+ \\\"toc_window_display\\\": true\\n+ }\\n+ },\\n+ \\\"nbformat\\\": 4,\\n+ \\\"nbformat_minor\\\": 4\\n+}\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex aad0e083a8c..5640e872bea 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -25,6 +25,9 @@ Breaking changes\\n New Features\\n ~~~~~~~~~~~~\\n \\n+- Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted`\\n+ and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. (:issue:`422`, :pull:`2922`).\\n+ By `Mathias Hauser <https://github.com/mathause>`_\\n - Added support for :py:class:`pandas.DatetimeIndex`-style rounding of\\n ``cftime.datetime`` objects directly via a :py:class:`CFTimeIndex` or via the\\n :py:class:`~core.accessor_dt.DatetimeAccessor`.\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0015"},"base_commit":{"kind":"string","value":"65a5bff79479c4b56d6f733236fe544b7f4120a8"},"PASS2PASS":{"kind":"list like","value":[],"string":"[]","isConversational":false},"FAIL2PASS":{"kind":"list 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\"xarray/tests/test_weighted.py::test_weighted_sum_nan[False-weights3-0]\",\n \"xarray/tests/test_weighted.py::test_weighted_sum_of_weights_nan[weights1-nan]\",\n \"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[True-True-False-sum_of_weights-shape_weights2-shape_data2-None]\",\n \"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[False-True-True-mean-shape_weights0-shape_data2-dim_0]\",\n \"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[True-False-True-sum-shape_weights1-shape_data1-dim_0]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"field\",\n \"name\": \"keep_attrs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"attrs\"\n },\n {\n \"type\": \"field\",\n \"name\": \"valid_weights\"\n },\n {\n \"type\": \"field\",\n \"name\": \"ValueError\"\n },\n {\n \"type\": \"field\",\n \"name\": \"where\"\n },\n {\n \"type\": \"field\",\n \"name\": \"notnull\"\n },\n {\n \"type\": \"file\",\n \"name\": \"xarray/core/weighted.py\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/api.rst","old_path":"a/doc/api.rst","new_path":"b/doc/api.rst","metadata":"diff --git a/doc/api.rst b/doc/api.rst\nindex 4492d882355..43a9cf53ead 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -165,6 +165,7 @@ Computation\n Dataset.groupby_bins\n Dataset.rolling\n Dataset.rolling_exp\n+ Dataset.weighted\n Dataset.coarsen\n Dataset.resample\n Dataset.diff\n@@ -340,6 +341,7 @@ Computation\n DataArray.groupby_bins\n DataArray.rolling\n DataArray.rolling_exp\n+ DataArray.weighted\n DataArray.coarsen\n DataArray.dt\n DataArray.resample\n@@ -577,6 +579,22 @@ Rolling objects\n core.rolling.DatasetRolling.reduce\n core.rolling_exp.RollingExp\n \n+Weighted objects\n+================\n+\n+.. autosummary::\n+ :toctree: generated/\n+\n+ core.weighted.DataArrayWeighted\n+ core.weighted.DataArrayWeighted.mean\n+ core.weighted.DataArrayWeighted.sum\n+ core.weighted.DataArrayWeighted.sum_of_weights\n+ core.weighted.DatasetWeighted\n+ core.weighted.DatasetWeighted.mean\n+ core.weighted.DatasetWeighted.sum\n+ core.weighted.DatasetWeighted.sum_of_weights\n+\n+\n Coarsen objects\n ===============\n \n"},{"path":"doc/computation.rst","old_path":"a/doc/computation.rst","new_path":"b/doc/computation.rst","metadata":"diff --git a/doc/computation.rst b/doc/computation.rst\nindex 1ac30f55ee7..5309f27e9b6 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -1,3 +1,5 @@\n+.. currentmodule:: xarray\n+\n .. _comput:\n \n ###########\n@@ -241,12 +243,94 @@ You can also use ``construct`` to compute a weighted rolling sum:\n To avoid this, use ``skipna=False`` as the above example.\n \n \n+.. _comput.weighted:\n+\n+Weighted array reductions\n+=========================\n+\n+:py:class:`DataArray` and :py:class:`Dataset` objects include :py:meth:`DataArray.weighted`\n+and :py:meth:`Dataset.weighted` array reduction methods. They currently\n+support weighted ``sum`` and weighted ``mean``.\n+\n+.. ipython:: python\n+\n+ coords = dict(month=('month', [1, 2, 3]))\n+\n+ prec = xr.DataArray([1.1, 1.0, 0.9], dims=('month', ), coords=coords)\n+ weights = xr.DataArray([31, 28, 31], dims=('month', ), coords=coords)\n+\n+Create a weighted object:\n+\n+.. ipython:: python\n+\n+ weighted_prec = prec.weighted(weights)\n+ weighted_prec\n+\n+Calculate the weighted sum:\n+\n+.. ipython:: python\n+\n+ weighted_prec.sum()\n+\n+Calculate the weighted mean:\n+\n+.. ipython:: python\n+\n+ weighted_prec.mean(dim=\"month\")\n+\n+The weighted sum corresponds to:\n+\n+.. ipython:: python\n+\n+ weighted_sum = (prec * weights).sum()\n+ weighted_sum\n+\n+and the weighted mean to:\n+\n+.. ipython:: python\n+\n+ weighted_mean = weighted_sum / weights.sum()\n+ weighted_mean\n+\n+However, the functions also take missing values in the data into account:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([np.NaN, 2, 4])\n+ weights = xr.DataArray([8, 1, 1])\n+\n+ data.weighted(weights).mean()\n+\n+Using ``(data * weights).sum() / weights.sum()`` would (incorrectly) result\n+in 0.6.\n+\n+\n+If the weights add up to to 0, ``sum`` returns 0:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([1.0, 1.0])\n+ weights = xr.DataArray([-1.0, 1.0])\n+\n+ data.weighted(weights).sum()\n+\n+and ``mean`` returns ``NaN``:\n+\n+.. ipython:: python\n+\n+ data.weighted(weights).mean()\n+\n+\n+.. note::\n+ ``weights`` must be a :py:class:`DataArray` and cannot contain missing values.\n+ Missing values can be replaced manually by ``weights.fillna(0)``.\n+\n .. _comput.coarsen:\n \n Coarsen large arrays\n ====================\n \n-``DataArray`` and ``Dataset`` objects include a\n+:py:class:`DataArray` and :py:class:`Dataset` objects include a\n :py:meth:`~xarray.DataArray.coarsen` and :py:meth:`~xarray.Dataset.coarsen`\n methods. This supports the block aggregation along multiple dimensions,\n \n"},{"path":"doc/examples.rst","old_path":"a/doc/examples.rst","new_path":"b/doc/examples.rst","metadata":"diff --git a/doc/examples.rst b/doc/examples.rst\nindex 805395808e0..1d48d29bcc5 100644\n--- a/doc/examples.rst\n+++ b/doc/examples.rst\n@@ -6,6 +6,7 @@ Examples\n \n examples/weather-data\n examples/monthly-means\n+ examples/area_weighted_temperature\n examples/multidimensional-coords\n examples/visualization_gallery\n examples/ROMS_ocean_model\n"},{"path":"doc/examples/area_weighted_temperature.ipynb","old_path":"/dev/null","new_path":"b/doc/examples/area_weighted_temperature.ipynb","metadata":"diff --git a/doc/examples/area_weighted_temperature.ipynb b/doc/examples/area_weighted_temperature.ipynb\nnew file mode 100644\nindex 00000000000..72876e3fc29\n--- /dev/null\n+++ b/doc/examples/area_weighted_temperature.ipynb\n@@ -0,0 +1,226 @@\n+{\n+ \"cells\": [\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {\n+ \"toc\": true\n+ },\n+ \"source\": [\n+ \"<h1>Table of Contents<span class=\\\"tocSkip\\\"></span></h1>\\n\",\n+ \"<div class=\\\"toc\\\"><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Compare-weighted-and-unweighted-mean-temperature\\\" data-toc-modified-id=\\\"Compare-weighted-and-unweighted-mean-temperature-1\\\"><span class=\\\"toc-item-num\\\">1 </span>Compare weighted and unweighted mean temperature</a></span><ul class=\\\"toc-item\\\"><li><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Data\\\" data-toc-modified-id=\\\"Data-1.0.1\\\"><span class=\\\"toc-item-num\\\">1.0.1 </span>Data</a></span></li><li><span><a href=\\\"#Creating-weights\\\" data-toc-modified-id=\\\"Creating-weights-1.0.2\\\"><span class=\\\"toc-item-num\\\">1.0.2 </span>Creating weights</a></span></li><li><span><a href=\\\"#Weighted-mean\\\" data-toc-modified-id=\\\"Weighted-mean-1.0.3\\\"><span class=\\\"toc-item-num\\\">1.0.3 </span>Weighted mean</a></span></li><li><span><a href=\\\"#Plot:-comparison-with-unweighted-mean\\\" data-toc-modified-id=\\\"Plot:-comparison-with-unweighted-mean-1.0.4\\\"><span class=\\\"toc-item-num\\\">1.0.4 </span>Plot: comparison with unweighted mean</a></span></li></ul></li></ul></li></ul></div>\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"# Compare weighted and unweighted mean temperature\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"Author: [Mathias Hauser](https://github.com/mathause/)\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"We use the `air_temperature` example dataset to calculate the area-weighted temperature over its domain. This dataset has a regular latitude/ longitude grid, thus the gridcell area decreases towards the pole. For this grid we can use the cosine of the latitude as proxy for the grid cell area.\\n\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.222351Z\",\n+ \"start_time\": \"2020-03-17T14:43:56.147541Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"%matplotlib inline\\n\",\n+ \"\\n\",\n+ \"import cartopy.crs as ccrs\\n\",\n+ \"import matplotlib.pyplot as plt\\n\",\n+ \"import numpy as np\\n\",\n+ \"\\n\",\n+ \"import xarray as xr\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Data\\n\",\n+ \"\\n\",\n+ \"Load the data, convert to celsius, and resample to daily values\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.831734Z\",\n+ \"start_time\": \"2020-03-17T14:43:57.651845Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"ds = xr.tutorial.load_dataset(\\\"air_temperature\\\")\\n\",\n+ \"\\n\",\n+ \"# to celsius\\n\",\n+ \"air = ds.air - 273.15\\n\",\n+ \"\\n\",\n+ \"# resample from 6-hourly to daily values\\n\",\n+ \"air = air.resample(time=\\\"D\\\").mean()\\n\",\n+ \"\\n\",\n+ \"air\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"Plot the first timestep:\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:59.887120Z\",\n+ \"start_time\": \"2020-03-17T14:43:59.582894Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"projection = ccrs.LambertConformal(central_longitude=-95, central_latitude=45)\\n\",\n+ \"\\n\",\n+ \"f, ax = plt.subplots(subplot_kw=dict(projection=projection))\\n\",\n+ \"\\n\",\n+ \"air.isel(time=0).plot(transform=ccrs.PlateCarree(), cbar_kwargs=dict(shrink=0.7))\\n\",\n+ \"ax.coastlines()\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Creating weights\\n\",\n+ \"\\n\",\n+ \"For a for a rectangular grid the cosine of the latitude is proportional to the grid cell area.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:18.777092Z\",\n+ \"start_time\": \"2020-03-17T14:44:18.736587Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weights = np.cos(np.deg2rad(air.lat))\\n\",\n+ \"weights.name = \\\"weights\\\"\\n\",\n+ \"weights\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Weighted mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:52.607120Z\",\n+ \"start_time\": \"2020-03-17T14:44:52.564674Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"air_weighted = air.weighted(weights)\\n\",\n+ \"air_weighted\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:54.334279Z\",\n+ \"start_time\": \"2020-03-17T14:44:54.280022Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean = air_weighted.mean((\\\"lon\\\", \\\"lat\\\"))\\n\",\n+ \"weighted_mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Plot: comparison with unweighted mean\\n\",\n+ \"\\n\",\n+ \"Note how the weighted mean temperature is higher than the unweighted.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:45:08.877307Z\",\n+ \"start_time\": \"2020-03-17T14:45:08.673383Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean.plot(label=\\\"weighted\\\")\\n\",\n+ \"air.mean((\\\"lon\\\", \\\"lat\\\")).plot(label=\\\"unweighted\\\")\\n\",\n+ \"\\n\",\n+ \"plt.legend()\"\n+ ]\n+ }\n+ ],\n+ \"metadata\": {\n+ \"kernelspec\": {\n+ \"display_name\": \"Python 3\",\n+ \"language\": \"python\",\n+ \"name\": \"python3\"\n+ },\n+ \"language_info\": {\n+ \"codemirror_mode\": {\n+ \"name\": \"ipython\",\n+ \"version\": 3\n+ },\n+ \"file_extension\": \".py\",\n+ \"mimetype\": \"text/x-python\",\n+ \"name\": \"python\",\n+ \"nbconvert_exporter\": \"python\",\n+ \"pygments_lexer\": \"ipython3\",\n+ \"version\": \"3.7.6\"\n+ },\n+ \"toc\": {\n+ \"base_numbering\": 1,\n+ \"nav_menu\": {},\n+ \"number_sections\": true,\n+ \"sideBar\": true,\n+ \"skip_h1_title\": false,\n+ \"title_cell\": \"Table of Contents\",\n+ \"title_sidebar\": \"Contents\",\n+ \"toc_cell\": true,\n+ \"toc_position\": {},\n+ \"toc_section_display\": true,\n+ \"toc_window_display\": true\n+ }\n+ },\n+ \"nbformat\": 4,\n+ \"nbformat_minor\": 4\n+}\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex aad0e083a8c..5640e872bea 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n New Features\n ~~~~~~~~~~~~\n \n+- Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted`\n+ and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_\n - Added support for :py:class:`pandas.DatetimeIndex`-style rounding of\n ``cftime.datetime`` objects directly via a :py:class:`CFTimeIndex` or via the\n :py:class:`~core.accessor_dt.DatetimeAccessor`.\n"}],"string":"[\n {\n \"path\": \"doc/api.rst\",\n \"old_path\": \"a/doc/api.rst\",\n \"new_path\": \"b/doc/api.rst\",\n \"metadata\": \"diff --git a/doc/api.rst b/doc/api.rst\\nindex 4492d882355..43a9cf53ead 100644\\n--- a/doc/api.rst\\n+++ b/doc/api.rst\\n@@ -165,6 +165,7 @@ Computation\\n Dataset.groupby_bins\\n Dataset.rolling\\n Dataset.rolling_exp\\n+ Dataset.weighted\\n Dataset.coarsen\\n Dataset.resample\\n Dataset.diff\\n@@ -340,6 +341,7 @@ Computation\\n DataArray.groupby_bins\\n DataArray.rolling\\n DataArray.rolling_exp\\n+ DataArray.weighted\\n DataArray.coarsen\\n DataArray.dt\\n DataArray.resample\\n@@ -577,6 +579,22 @@ Rolling objects\\n core.rolling.DatasetRolling.reduce\\n core.rolling_exp.RollingExp\\n \\n+Weighted objects\\n+================\\n+\\n+.. autosummary::\\n+ :toctree: generated/\\n+\\n+ core.weighted.DataArrayWeighted\\n+ core.weighted.DataArrayWeighted.mean\\n+ core.weighted.DataArrayWeighted.sum\\n+ core.weighted.DataArrayWeighted.sum_of_weights\\n+ core.weighted.DatasetWeighted\\n+ core.weighted.DatasetWeighted.mean\\n+ core.weighted.DatasetWeighted.sum\\n+ core.weighted.DatasetWeighted.sum_of_weights\\n+\\n+\\n Coarsen objects\\n ===============\\n \\n\"\n },\n {\n \"path\": \"doc/computation.rst\",\n \"old_path\": \"a/doc/computation.rst\",\n \"new_path\": \"b/doc/computation.rst\",\n \"metadata\": \"diff --git a/doc/computation.rst b/doc/computation.rst\\nindex 1ac30f55ee7..5309f27e9b6 100644\\n--- a/doc/computation.rst\\n+++ b/doc/computation.rst\\n@@ -1,3 +1,5 @@\\n+.. currentmodule:: xarray\\n+\\n .. _comput:\\n \\n ###########\\n@@ -241,12 +243,94 @@ You can also use ``construct`` to compute a weighted rolling sum:\\n To avoid this, use ``skipna=False`` as the above example.\\n \\n \\n+.. _comput.weighted:\\n+\\n+Weighted array reductions\\n+=========================\\n+\\n+:py:class:`DataArray` and :py:class:`Dataset` objects include :py:meth:`DataArray.weighted`\\n+and :py:meth:`Dataset.weighted` array reduction methods. They currently\\n+support weighted ``sum`` and weighted ``mean``.\\n+\\n+.. ipython:: python\\n+\\n+ coords = dict(month=('month', [1, 2, 3]))\\n+\\n+ prec = xr.DataArray([1.1, 1.0, 0.9], dims=('month', ), coords=coords)\\n+ weights = xr.DataArray([31, 28, 31], dims=('month', ), coords=coords)\\n+\\n+Create a weighted object:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_prec = prec.weighted(weights)\\n+ weighted_prec\\n+\\n+Calculate the weighted sum:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_prec.sum()\\n+\\n+Calculate the weighted mean:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_prec.mean(dim=\\\"month\\\")\\n+\\n+The weighted sum corresponds to:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_sum = (prec * weights).sum()\\n+ weighted_sum\\n+\\n+and the weighted mean to:\\n+\\n+.. ipython:: python\\n+\\n+ weighted_mean = weighted_sum / weights.sum()\\n+ weighted_mean\\n+\\n+However, the functions also take missing values in the data into account:\\n+\\n+.. ipython:: python\\n+\\n+ data = xr.DataArray([np.NaN, 2, 4])\\n+ weights = xr.DataArray([8, 1, 1])\\n+\\n+ data.weighted(weights).mean()\\n+\\n+Using ``(data * weights).sum() / weights.sum()`` would (incorrectly) result\\n+in 0.6.\\n+\\n+\\n+If the weights add up to to 0, ``sum`` returns 0:\\n+\\n+.. ipython:: python\\n+\\n+ data = xr.DataArray([1.0, 1.0])\\n+ weights = xr.DataArray([-1.0, 1.0])\\n+\\n+ data.weighted(weights).sum()\\n+\\n+and ``mean`` returns ``NaN``:\\n+\\n+.. ipython:: python\\n+\\n+ data.weighted(weights).mean()\\n+\\n+\\n+.. note::\\n+ ``weights`` must be a :py:class:`DataArray` and cannot contain missing values.\\n+ Missing values can be replaced manually by ``weights.fillna(0)``.\\n+\\n .. _comput.coarsen:\\n \\n Coarsen large arrays\\n ====================\\n \\n-``DataArray`` and ``Dataset`` objects include a\\n+:py:class:`DataArray` and :py:class:`Dataset` objects include a\\n :py:meth:`~xarray.DataArray.coarsen` and :py:meth:`~xarray.Dataset.coarsen`\\n methods. This supports the block aggregation along multiple dimensions,\\n \\n\"\n },\n {\n \"path\": \"doc/examples.rst\",\n \"old_path\": \"a/doc/examples.rst\",\n \"new_path\": \"b/doc/examples.rst\",\n \"metadata\": \"diff --git a/doc/examples.rst b/doc/examples.rst\\nindex 805395808e0..1d48d29bcc5 100644\\n--- a/doc/examples.rst\\n+++ b/doc/examples.rst\\n@@ -6,6 +6,7 @@ Examples\\n \\n examples/weather-data\\n examples/monthly-means\\n+ examples/area_weighted_temperature\\n examples/multidimensional-coords\\n examples/visualization_gallery\\n examples/ROMS_ocean_model\\n\"\n },\n {\n \"path\": \"doc/examples/area_weighted_temperature.ipynb\",\n \"old_path\": \"/dev/null\",\n \"new_path\": \"b/doc/examples/area_weighted_temperature.ipynb\",\n \"metadata\": \"diff --git a/doc/examples/area_weighted_temperature.ipynb b/doc/examples/area_weighted_temperature.ipynb\\nnew file mode 100644\\nindex 00000000000..72876e3fc29\\n--- /dev/null\\n+++ b/doc/examples/area_weighted_temperature.ipynb\\n@@ -0,0 +1,226 @@\\n+{\\n+ \\\"cells\\\": [\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {\\n+ \\\"toc\\\": true\\n+ },\\n+ \\\"source\\\": [\\n+ \\\"<h1>Table of Contents<span class=\\\\\\\"tocSkip\\\\\\\"></span></h1>\\\\n\\\",\\n+ \\\"<div class=\\\\\\\"toc\\\\\\\"><ul class=\\\\\\\"toc-item\\\\\\\"><li><span><a href=\\\\\\\"#Compare-weighted-and-unweighted-mean-temperature\\\\\\\" data-toc-modified-id=\\\\\\\"Compare-weighted-and-unweighted-mean-temperature-1\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1 </span>Compare weighted and unweighted mean temperature</a></span><ul class=\\\\\\\"toc-item\\\\\\\"><li><ul class=\\\\\\\"toc-item\\\\\\\"><li><span><a href=\\\\\\\"#Data\\\\\\\" data-toc-modified-id=\\\\\\\"Data-1.0.1\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.1 </span>Data</a></span></li><li><span><a href=\\\\\\\"#Creating-weights\\\\\\\" data-toc-modified-id=\\\\\\\"Creating-weights-1.0.2\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.2 </span>Creating weights</a></span></li><li><span><a href=\\\\\\\"#Weighted-mean\\\\\\\" data-toc-modified-id=\\\\\\\"Weighted-mean-1.0.3\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.3 </span>Weighted mean</a></span></li><li><span><a href=\\\\\\\"#Plot:-comparison-with-unweighted-mean\\\\\\\" data-toc-modified-id=\\\\\\\"Plot:-comparison-with-unweighted-mean-1.0.4\\\\\\\"><span class=\\\\\\\"toc-item-num\\\\\\\">1.0.4 </span>Plot: comparison with unweighted mean</a></span></li></ul></li></ul></li></ul></div>\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"# Compare weighted and unweighted mean temperature\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"Author: [Mathias Hauser](https://github.com/mathause/)\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"We use the `air_temperature` example dataset to calculate the area-weighted temperature over its domain. This dataset has a regular latitude/ longitude grid, thus the gridcell area decreases towards the pole. For this grid we can use the cosine of the latitude as proxy for the grid cell area.\\\\n\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:43:57.222351Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:43:56.147541Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"%matplotlib inline\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"import cartopy.crs as ccrs\\\\n\\\",\\n+ \\\"import matplotlib.pyplot as plt\\\\n\\\",\\n+ \\\"import numpy as np\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"import xarray as xr\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Data\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"Load the data, convert to celsius, and resample to daily values\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:43:57.831734Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:43:57.651845Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"ds = xr.tutorial.load_dataset(\\\\\\\"air_temperature\\\\\\\")\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"# to celsius\\\\n\\\",\\n+ \\\"air = ds.air - 273.15\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"# resample from 6-hourly to daily values\\\\n\\\",\\n+ \\\"air = air.resample(time=\\\\\\\"D\\\\\\\").mean()\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"air\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"Plot the first timestep:\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:43:59.887120Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:43:59.582894Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"projection = ccrs.LambertConformal(central_longitude=-95, central_latitude=45)\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"f, ax = plt.subplots(subplot_kw=dict(projection=projection))\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"air.isel(time=0).plot(transform=ccrs.PlateCarree(), cbar_kwargs=dict(shrink=0.7))\\\\n\\\",\\n+ \\\"ax.coastlines()\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Creating weights\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"For a for a rectangular grid the cosine of the latitude is proportional to the grid cell area.\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:44:18.777092Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:44:18.736587Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"weights = np.cos(np.deg2rad(air.lat))\\\\n\\\",\\n+ \\\"weights.name = \\\\\\\"weights\\\\\\\"\\\\n\\\",\\n+ \\\"weights\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Weighted mean\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:44:52.607120Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:44:52.564674Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"air_weighted = air.weighted(weights)\\\\n\\\",\\n+ \\\"air_weighted\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:44:54.334279Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:44:54.280022Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"weighted_mean = air_weighted.mean((\\\\\\\"lon\\\\\\\", \\\\\\\"lat\\\\\\\"))\\\\n\\\",\\n+ \\\"weighted_mean\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"markdown\\\",\\n+ \\\"metadata\\\": {},\\n+ \\\"source\\\": [\\n+ \\\"### Plot: comparison with unweighted mean\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"Note how the weighted mean temperature is higher than the unweighted.\\\"\\n+ ]\\n+ },\\n+ {\\n+ \\\"cell_type\\\": \\\"code\\\",\\n+ \\\"execution_count\\\": null,\\n+ \\\"metadata\\\": {\\n+ \\\"ExecuteTime\\\": {\\n+ \\\"end_time\\\": \\\"2020-03-17T14:45:08.877307Z\\\",\\n+ \\\"start_time\\\": \\\"2020-03-17T14:45:08.673383Z\\\"\\n+ }\\n+ },\\n+ \\\"outputs\\\": [],\\n+ \\\"source\\\": [\\n+ \\\"weighted_mean.plot(label=\\\\\\\"weighted\\\\\\\")\\\\n\\\",\\n+ \\\"air.mean((\\\\\\\"lon\\\\\\\", \\\\\\\"lat\\\\\\\")).plot(label=\\\\\\\"unweighted\\\\\\\")\\\\n\\\",\\n+ \\\"\\\\n\\\",\\n+ \\\"plt.legend()\\\"\\n+ ]\\n+ }\\n+ ],\\n+ \\\"metadata\\\": {\\n+ \\\"kernelspec\\\": {\\n+ \\\"display_name\\\": \\\"Python 3\\\",\\n+ \\\"language\\\": \\\"python\\\",\\n+ \\\"name\\\": \\\"python3\\\"\\n+ },\\n+ \\\"language_info\\\": {\\n+ \\\"codemirror_mode\\\": {\\n+ \\\"name\\\": \\\"ipython\\\",\\n+ \\\"version\\\": 3\\n+ },\\n+ \\\"file_extension\\\": \\\".py\\\",\\n+ \\\"mimetype\\\": \\\"text/x-python\\\",\\n+ \\\"name\\\": \\\"python\\\",\\n+ \\\"nbconvert_exporter\\\": \\\"python\\\",\\n+ \\\"pygments_lexer\\\": \\\"ipython3\\\",\\n+ \\\"version\\\": \\\"3.7.6\\\"\\n+ },\\n+ \\\"toc\\\": {\\n+ \\\"base_numbering\\\": 1,\\n+ \\\"nav_menu\\\": {},\\n+ \\\"number_sections\\\": true,\\n+ \\\"sideBar\\\": true,\\n+ \\\"skip_h1_title\\\": false,\\n+ \\\"title_cell\\\": \\\"Table of Contents\\\",\\n+ \\\"title_sidebar\\\": \\\"Contents\\\",\\n+ \\\"toc_cell\\\": true,\\n+ \\\"toc_position\\\": {},\\n+ \\\"toc_section_display\\\": true,\\n+ \\\"toc_window_display\\\": true\\n+ }\\n+ },\\n+ \\\"nbformat\\\": 4,\\n+ \\\"nbformat_minor\\\": 4\\n+}\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex aad0e083a8c..5640e872bea 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -25,6 +25,9 @@ Breaking changes\\n New Features\\n ~~~~~~~~~~~~\\n \\n+- Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted`\\n+ and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. (:issue:`<PRID>`, :pull:`<PRID>`).\\n+ By `<NAME>`_\\n - Added support for :py:class:`pandas.DatetimeIndex`-style rounding of\\n ``cftime.datetime`` objects directly via a :py:class:`CFTimeIndex` or via the\\n :py:class:`~core.accessor_dt.DatetimeAccessor`.\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/api.rst b/doc/api.rst\nindex 4492d882355..43a9cf53ead 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -165,6 +165,7 @@ Computation\n Dataset.groupby_bins\n Dataset.rolling\n Dataset.rolling_exp\n+ Dataset.weighted\n Dataset.coarsen\n Dataset.resample\n Dataset.diff\n@@ -340,6 +341,7 @@ Computation\n DataArray.groupby_bins\n DataArray.rolling\n DataArray.rolling_exp\n+ DataArray.weighted\n DataArray.coarsen\n DataArray.dt\n DataArray.resample\n@@ -577,6 +579,22 @@ Rolling objects\n core.rolling.DatasetRolling.reduce\n core.rolling_exp.RollingExp\n \n+Weighted objects\n+================\n+\n+.. autosummary::\n+ :toctree: generated/\n+\n+ core.weighted.DataArrayWeighted\n+ core.weighted.DataArrayWeighted.mean\n+ core.weighted.DataArrayWeighted.sum\n+ core.weighted.DataArrayWeighted.sum_of_weights\n+ core.weighted.DatasetWeighted\n+ core.weighted.DatasetWeighted.mean\n+ core.weighted.DatasetWeighted.sum\n+ core.weighted.DatasetWeighted.sum_of_weights\n+\n+\n Coarsen objects\n ===============\n \n\ndiff --git a/doc/computation.rst b/doc/computation.rst\nindex 1ac30f55ee7..5309f27e9b6 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -1,3 +1,5 @@\n+.. currentmodule:: xarray\n+\n .. _comput:\n \n ###########\n@@ -241,12 +243,94 @@ You can also use ``construct`` to compute a weighted rolling sum:\n To avoid this, use ``skipna=False`` as the above example.\n \n \n+.. _comput.weighted:\n+\n+Weighted array reductions\n+=========================\n+\n+:py:class:`DataArray` and :py:class:`Dataset` objects include :py:meth:`DataArray.weighted`\n+and :py:meth:`Dataset.weighted` array reduction methods. They currently\n+support weighted ``sum`` and weighted ``mean``.\n+\n+.. ipython:: python\n+\n+ coords = dict(month=('month', [1, 2, 3]))\n+\n+ prec = xr.DataArray([1.1, 1.0, 0.9], dims=('month', ), coords=coords)\n+ weights = xr.DataArray([31, 28, 31], dims=('month', ), coords=coords)\n+\n+Create a weighted object:\n+\n+.. ipython:: python\n+\n+ weighted_prec = prec.weighted(weights)\n+ weighted_prec\n+\n+Calculate the weighted sum:\n+\n+.. ipython:: python\n+\n+ weighted_prec.sum()\n+\n+Calculate the weighted mean:\n+\n+.. ipython:: python\n+\n+ weighted_prec.mean(dim=\"month\")\n+\n+The weighted sum corresponds to:\n+\n+.. ipython:: python\n+\n+ weighted_sum = (prec * weights).sum()\n+ weighted_sum\n+\n+and the weighted mean to:\n+\n+.. ipython:: python\n+\n+ weighted_mean = weighted_sum / weights.sum()\n+ weighted_mean\n+\n+However, the functions also take missing values in the data into account:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([np.NaN, 2, 4])\n+ weights = xr.DataArray([8, 1, 1])\n+\n+ data.weighted(weights).mean()\n+\n+Using ``(data * weights).sum() / weights.sum()`` would (incorrectly) result\n+in 0.6.\n+\n+\n+If the weights add up to to 0, ``sum`` returns 0:\n+\n+.. ipython:: python\n+\n+ data = xr.DataArray([1.0, 1.0])\n+ weights = xr.DataArray([-1.0, 1.0])\n+\n+ data.weighted(weights).sum()\n+\n+and ``mean`` returns ``NaN``:\n+\n+.. ipython:: python\n+\n+ data.weighted(weights).mean()\n+\n+\n+.. note::\n+ ``weights`` must be a :py:class:`DataArray` and cannot contain missing values.\n+ Missing values can be replaced manually by ``weights.fillna(0)``.\n+\n .. _comput.coarsen:\n \n Coarsen large arrays\n ====================\n \n-``DataArray`` and ``Dataset`` objects include a\n+:py:class:`DataArray` and :py:class:`Dataset` objects include a\n :py:meth:`~xarray.DataArray.coarsen` and :py:meth:`~xarray.Dataset.coarsen`\n methods. This supports the block aggregation along multiple dimensions,\n \n\ndiff --git a/doc/examples.rst b/doc/examples.rst\nindex 805395808e0..1d48d29bcc5 100644\n--- a/doc/examples.rst\n+++ b/doc/examples.rst\n@@ -6,6 +6,7 @@ Examples\n \n examples/weather-data\n examples/monthly-means\n+ examples/area_weighted_temperature\n examples/multidimensional-coords\n examples/visualization_gallery\n examples/ROMS_ocean_model\n\ndiff --git a/doc/examples/area_weighted_temperature.ipynb b/doc/examples/area_weighted_temperature.ipynb\nnew file mode 100644\nindex 00000000000..72876e3fc29\n--- /dev/null\n+++ b/doc/examples/area_weighted_temperature.ipynb\n@@ -0,0 +1,226 @@\n+{\n+ \"cells\": [\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {\n+ \"toc\": true\n+ },\n+ \"source\": [\n+ \"<h1>Table of Contents<span class=\\\"tocSkip\\\"></span></h1>\\n\",\n+ \"<div class=\\\"toc\\\"><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Compare-weighted-and-unweighted-mean-temperature\\\" data-toc-modified-id=\\\"Compare-weighted-and-unweighted-mean-temperature-1\\\"><span class=\\\"toc-item-num\\\">1 </span>Compare weighted and unweighted mean temperature</a></span><ul class=\\\"toc-item\\\"><li><ul class=\\\"toc-item\\\"><li><span><a href=\\\"#Data\\\" data-toc-modified-id=\\\"Data-1.0.1\\\"><span class=\\\"toc-item-num\\\">1.0.1 </span>Data</a></span></li><li><span><a href=\\\"#Creating-weights\\\" data-toc-modified-id=\\\"Creating-weights-1.0.2\\\"><span class=\\\"toc-item-num\\\">1.0.2 </span>Creating weights</a></span></li><li><span><a href=\\\"#Weighted-mean\\\" data-toc-modified-id=\\\"Weighted-mean-1.0.3\\\"><span class=\\\"toc-item-num\\\">1.0.3 </span>Weighted mean</a></span></li><li><span><a href=\\\"#Plot:-comparison-with-unweighted-mean\\\" data-toc-modified-id=\\\"Plot:-comparison-with-unweighted-mean-1.0.4\\\"><span class=\\\"toc-item-num\\\">1.0.4 </span>Plot: comparison with unweighted mean</a></span></li></ul></li></ul></li></ul></div>\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"# Compare weighted and unweighted mean temperature\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"Author: [Mathias Hauser](https://github.com/mathause/)\\n\",\n+ \"\\n\",\n+ \"\\n\",\n+ \"We use the `air_temperature` example dataset to calculate the area-weighted temperature over its domain. This dataset has a regular latitude/ longitude grid, thus the gridcell area decreases towards the pole. For this grid we can use the cosine of the latitude as proxy for the grid cell area.\\n\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.222351Z\",\n+ \"start_time\": \"2020-03-17T14:43:56.147541Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"%matplotlib inline\\n\",\n+ \"\\n\",\n+ \"import cartopy.crs as ccrs\\n\",\n+ \"import matplotlib.pyplot as plt\\n\",\n+ \"import numpy as np\\n\",\n+ \"\\n\",\n+ \"import xarray as xr\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Data\\n\",\n+ \"\\n\",\n+ \"Load the data, convert to celsius, and resample to daily values\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:57.831734Z\",\n+ \"start_time\": \"2020-03-17T14:43:57.651845Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"ds = xr.tutorial.load_dataset(\\\"air_temperature\\\")\\n\",\n+ \"\\n\",\n+ \"# to celsius\\n\",\n+ \"air = ds.air - 273.15\\n\",\n+ \"\\n\",\n+ \"# resample from 6-hourly to daily values\\n\",\n+ \"air = air.resample(time=\\\"D\\\").mean()\\n\",\n+ \"\\n\",\n+ \"air\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"Plot the first timestep:\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:43:59.887120Z\",\n+ \"start_time\": \"2020-03-17T14:43:59.582894Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"projection = ccrs.LambertConformal(central_longitude=-95, central_latitude=45)\\n\",\n+ \"\\n\",\n+ \"f, ax = plt.subplots(subplot_kw=dict(projection=projection))\\n\",\n+ \"\\n\",\n+ \"air.isel(time=0).plot(transform=ccrs.PlateCarree(), cbar_kwargs=dict(shrink=0.7))\\n\",\n+ \"ax.coastlines()\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Creating weights\\n\",\n+ \"\\n\",\n+ \"For a for a rectangular grid the cosine of the latitude is proportional to the grid cell area.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:18.777092Z\",\n+ \"start_time\": \"2020-03-17T14:44:18.736587Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weights = np.cos(np.deg2rad(air.lat))\\n\",\n+ \"weights.name = \\\"weights\\\"\\n\",\n+ \"weights\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Weighted mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:52.607120Z\",\n+ \"start_time\": \"2020-03-17T14:44:52.564674Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"air_weighted = air.weighted(weights)\\n\",\n+ \"air_weighted\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:44:54.334279Z\",\n+ \"start_time\": \"2020-03-17T14:44:54.280022Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean = air_weighted.mean((\\\"lon\\\", \\\"lat\\\"))\\n\",\n+ \"weighted_mean\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"markdown\",\n+ \"metadata\": {},\n+ \"source\": [\n+ \"### Plot: comparison with unweighted mean\\n\",\n+ \"\\n\",\n+ \"Note how the weighted mean temperature is higher than the unweighted.\"\n+ ]\n+ },\n+ {\n+ \"cell_type\": \"code\",\n+ \"execution_count\": null,\n+ \"metadata\": {\n+ \"ExecuteTime\": {\n+ \"end_time\": \"2020-03-17T14:45:08.877307Z\",\n+ \"start_time\": \"2020-03-17T14:45:08.673383Z\"\n+ }\n+ },\n+ \"outputs\": [],\n+ \"source\": [\n+ \"weighted_mean.plot(label=\\\"weighted\\\")\\n\",\n+ \"air.mean((\\\"lon\\\", \\\"lat\\\")).plot(label=\\\"unweighted\\\")\\n\",\n+ \"\\n\",\n+ \"plt.legend()\"\n+ ]\n+ }\n+ ],\n+ \"metadata\": {\n+ \"kernelspec\": {\n+ \"display_name\": \"Python 3\",\n+ \"language\": \"python\",\n+ \"name\": \"python3\"\n+ },\n+ \"language_info\": {\n+ \"codemirror_mode\": {\n+ \"name\": \"ipython\",\n+ \"version\": 3\n+ },\n+ \"file_extension\": \".py\",\n+ \"mimetype\": \"text/x-python\",\n+ \"name\": \"python\",\n+ \"nbconvert_exporter\": \"python\",\n+ \"pygments_lexer\": \"ipython3\",\n+ \"version\": \"3.7.6\"\n+ },\n+ \"toc\": {\n+ \"base_numbering\": 1,\n+ \"nav_menu\": {},\n+ \"number_sections\": true,\n+ \"sideBar\": true,\n+ \"skip_h1_title\": false,\n+ \"title_cell\": \"Table of Contents\",\n+ \"title_sidebar\": \"Contents\",\n+ \"toc_cell\": true,\n+ \"toc_position\": {},\n+ \"toc_section_display\": true,\n+ \"toc_window_display\": true\n+ }\n+ },\n+ \"nbformat\": 4,\n+ \"nbformat_minor\": 4\n+}\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex aad0e083a8c..5640e872bea 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n New Features\n ~~~~~~~~~~~~\n \n+- Weighted array reductions are now supported via the new :py:meth:`DataArray.weighted`\n+ and :py:meth:`Dataset.weighted` methods. See :ref:`comput.weighted`. (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By `<NAME>`_\n - Added support for :py:class:`pandas.DatetimeIndex`-style rounding of\n ``cftime.datetime`` objects directly via a :py:class:`CFTimeIndex` or via the\n :py:class:`~core.accessor_dt.DatetimeAccessor`.\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'field', 'name': 'keep_attrs'}, {'type': 'field', 'name': 'attrs'}, {'type': 'field', 'name': 'valid_weights'}, {'type': 'field', 'name': 'ValueError'}, {'type': 'field', 'name': 'where'}, {'type': 'field', 'name': 'notnull'}, {'type': 'file', 'name': 'xarray/core/weighted.py'}]\n"}}},{"rowIdx":593,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3923"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3923"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b9c81ad3474..46a67f9ae4f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -35,6 +35,11 @@ New Features\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\n By `John Omotani <https://github.com/johnomotani>`_\n+- 'missing_dims' argument to :py:meth:`Dataset.isel`,\n+ `:py:meth:`DataArray.isel` and :py:meth:`Variable.isel` to allow replacing\n+ the exception when a dimension passed to ``isel`` is not present with a\n+ warning, or just ignore the dimension. (:issue:`3866`, :pull:`3923`)\n+ By `John Omotani <https://github.com/johnomotani>`_\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`3900`)\n By `Maximilian Roos <https://github.com/max-sixty>`_\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex b7e0333dcd9..63cba53b689 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -1007,25 +1007,51 @@ def isel(\n self,\n indexers: Mapping[Hashable, Any] = None,\n drop: bool = False,\n+ missing_dims: str = \"raise\",\n **indexers_kwargs: Any,\n ) -> \"DataArray\":\n \"\"\"Return a new DataArray whose data is given by integer indexing\n along the specified dimension(s).\n \n+ Parameters\n+ ----------\n+ indexers : dict, optional\n+ A dict with keys matching dimensions and values given\n+ by integers, slice objects or arrays.\n+ indexer can be a integer, slice, array-like or DataArray.\n+ If DataArrays are passed as indexers, xarray-style indexing will be\n+ carried out. See :ref:`indexing` for the details.\n+ One of indexers or indexers_kwargs must be provided.\n+ drop : bool, optional\n+ If ``drop=True``, drop coordinates variables indexed by integers\n+ instead of making them scalar.\n+ missing_dims : {\"raise\", \"warn\", \"ignore\"}, default \"raise\"\n+ What to do if dimensions that should be selected from are not present in the\n+ DataArray:\n+ - \"exception\": raise an exception\n+ - \"warning\": raise a warning, and ignore the missing dimensions\n+ - \"ignore\": ignore the missing dimensions\n+ **indexers_kwargs : {dim: indexer, ...}, optional\n+ The keyword arguments form of ``indexers``.\n+\n See Also\n --------\n Dataset.isel\n DataArray.sel\n \"\"\"\n+\n indexers = either_dict_or_kwargs(indexers, indexers_kwargs, \"isel\")\n+\n if any(is_fancy_indexer(idx) for idx in indexers.values()):\n- ds = self._to_temp_dataset()._isel_fancy(indexers, drop=drop)\n+ ds = self._to_temp_dataset()._isel_fancy(\n+ indexers, drop=drop, missing_dims=missing_dims\n+ )\n return self._from_temp_dataset(ds)\n \n # Much faster algorithm for when all indexers are ints, slices, one-dimensional\n # lists, or zero or one-dimensional np.ndarray's\n \n- variable = self._variable.isel(indexers)\n+ variable = self._variable.isel(indexers, missing_dims=missing_dims)\n \n coords = {}\n for coord_name, coord_value in self._coords.items():\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex c515d781db1..97b3caf2b6e 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -87,6 +87,7 @@\n _check_inplace,\n _default,\n decode_numpy_dict_values,\n+ drop_dims_from_indexers,\n either_dict_or_kwargs,\n hashable,\n infix_dims,\n@@ -1767,7 +1768,7 @@ def maybe_chunk(name, var, chunks):\n return self._replace(variables)\n \n def _validate_indexers(\n- self, indexers: Mapping[Hashable, Any]\n+ self, indexers: Mapping[Hashable, Any], missing_dims: str = \"raise\",\n ) -> Iterator[Tuple[Hashable, Union[int, slice, np.ndarray, Variable]]]:\n \"\"\" Here we make sure\n + indexer has a valid keys\n@@ -1777,9 +1778,7 @@ def _validate_indexers(\n \"\"\"\n from .dataarray import DataArray\n \n- invalid = indexers.keys() - self.dims.keys()\n- if invalid:\n- raise ValueError(\"dimensions %r do not exist\" % invalid)\n+ indexers = drop_dims_from_indexers(indexers, self.dims, missing_dims)\n \n # all indexers should be int, slice, np.ndarrays, or Variable\n for k, v in indexers.items():\n@@ -1875,6 +1874,7 @@ def isel(\n self,\n indexers: Mapping[Hashable, Any] = None,\n drop: bool = False,\n+ missing_dims: str = \"raise\",\n **indexers_kwargs: Any,\n ) -> \"Dataset\":\n \"\"\"Returns a new dataset with each array indexed along the specified\n@@ -1896,6 +1896,12 @@ def isel(\n drop : bool, optional\n If ``drop=True``, drop coordinates variables indexed by integers\n instead of making them scalar.\n+ missing_dims : {\"raise\", \"warn\", \"ignore\"}, default \"raise\"\n+ What to do if dimensions that should be selected from are not present in the\n+ Dataset:\n+ - \"exception\": raise an exception\n+ - \"warning\": raise a warning, and ignore the missing dimensions\n+ - \"ignore\": ignore the missing dimensions\n **indexers_kwargs : {dim: indexer, ...}, optional\n The keyword arguments form of ``indexers``.\n One of indexers or indexers_kwargs must be provided.\n@@ -1918,13 +1924,11 @@ def isel(\n \"\"\"\n indexers = either_dict_or_kwargs(indexers, indexers_kwargs, \"isel\")\n if any(is_fancy_indexer(idx) for idx in indexers.values()):\n- return self._isel_fancy(indexers, drop=drop)\n+ return self._isel_fancy(indexers, drop=drop, missing_dims=missing_dims)\n \n # Much faster algorithm for when all indexers are ints, slices, one-dimensional\n # lists, or zero or one-dimensional np.ndarray's\n- invalid = indexers.keys() - self.dims.keys()\n- if invalid:\n- raise ValueError(\"dimensions %r do not exist\" % invalid)\n+ indexers = drop_dims_from_indexers(indexers, self.dims, missing_dims)\n \n variables = {}\n dims: Dict[Hashable, Tuple[int, ...]] = {}\n@@ -1958,10 +1962,16 @@ def isel(\n file_obj=self._file_obj,\n )\n \n- def _isel_fancy(self, indexers: Mapping[Hashable, Any], *, drop: bool) -> \"Dataset\":\n+ def _isel_fancy(\n+ self,\n+ indexers: Mapping[Hashable, Any],\n+ *,\n+ drop: bool,\n+ missing_dims: str = \"raise\",\n+ ) -> \"Dataset\":\n # Note: we need to preserve the original indexers variable in order to merge the\n # coords below\n- indexers_list = list(self._validate_indexers(indexers))\n+ indexers_list = list(self._validate_indexers(indexers, missing_dims))\n \n variables: Dict[Hashable, Variable] = {}\n indexes: Dict[Hashable, pd.Index] = {}\ndiff --git a/xarray/core/utils.py b/xarray/core/utils.py\nindex 896ee31ab5c..1126cf3037f 100644\n--- a/xarray/core/utils.py\n+++ b/xarray/core/utils.py\n@@ -24,6 +24,7 @@\n Sequence,\n Tuple,\n TypeVar,\n+ Union,\n cast,\n )\n \n@@ -738,6 +739,54 @@ def get_temp_dimname(dims: Container[Hashable], new_dim: Hashable) -> Hashable:\n return new_dim\n \n \n+def drop_dims_from_indexers(\n+ indexers: Mapping[Hashable, Any],\n+ dims: Union[list, Mapping[Hashable, int]],\n+ missing_dims: str,\n+) -> Mapping[Hashable, Any]:\n+ \"\"\" Depending on the setting of missing_dims, drop any dimensions from indexers that\n+ are not present in dims.\n+\n+ Parameters\n+ ----------\n+ indexers : dict\n+ dims : sequence\n+ missing_dims : {\"raise\", \"warn\", \"ignore\"}\n+ \"\"\"\n+\n+ if missing_dims == \"raise\":\n+ invalid = indexers.keys() - set(dims)\n+ if invalid:\n+ raise ValueError(\n+ f\"dimensions {invalid} do not exist. Expected one or more of {dims}\"\n+ )\n+\n+ return indexers\n+\n+ elif missing_dims == \"warn\":\n+\n+ # don't modify input\n+ indexers = dict(indexers)\n+\n+ invalid = indexers.keys() - set(dims)\n+ if invalid:\n+ warnings.warn(\n+ f\"dimensions {invalid} do not exist. Expected one or more of {dims}\"\n+ )\n+ for key in invalid:\n+ indexers.pop(key)\n+\n+ return indexers\n+\n+ elif missing_dims == \"ignore\":\n+ return {key: val for key, val in indexers.items() if key in dims}\n+\n+ else:\n+ raise ValueError(\n+ f\"Unrecognised option {missing_dims} for missing_dims argument\"\n+ )\n+\n+\n # Singleton type, as per https://github.com/python/typing/pull/240\n class Default(Enum):\n token = 0\ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex c9addeefb04..68e823ca426 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -28,6 +28,7 @@\n OrderedSet,\n _default,\n decode_numpy_dict_values,\n+ drop_dims_from_indexers,\n either_dict_or_kwargs,\n ensure_us_time_resolution,\n infix_dims,\n@@ -1030,6 +1031,7 @@ def _to_dense(self):\n def isel(\n self: VariableType,\n indexers: Mapping[Hashable, Any] = None,\n+ missing_dims: str = \"raise\",\n **indexers_kwargs: Any,\n ) -> VariableType:\n \"\"\"Return a new array indexed along the specified dimension(s).\n@@ -1039,6 +1041,12 @@ def isel(\n **indexers : {dim: indexer, ...}\n Keyword arguments with names matching dimensions and values given\n by integers, slice objects or arrays.\n+ missing_dims : {\"raise\", \"warn\", \"ignore\"}, default \"raise\"\n+ What to do if dimensions that should be selected from are not present in the\n+ DataArray:\n+ - \"exception\": raise an exception\n+ - \"warning\": raise a warning, and ignore the missing dimensions\n+ - \"ignore\": ignore the missing dimensions\n \n Returns\n -------\n@@ -1050,11 +1058,7 @@ def isel(\n \"\"\"\n indexers = either_dict_or_kwargs(indexers, indexers_kwargs, \"isel\")\n \n- invalid = indexers.keys() - set(self.dims)\n- if invalid:\n- raise ValueError(\n- f\"dimensions {invalid} do not exist. Expected one or more of {self.dims}\"\n- )\n+ indexers = drop_dims_from_indexers(indexers, self.dims, missing_dims)\n \n key = tuple(indexers.get(dim, slice(None)) for dim in self.dims)\n return self[key]\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex ced72d1bc06..cf31182ed30 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -781,6 +781,19 @@ def test_isel(self):\n assert_identical(self.dv, self.dv.isel(x=slice(None)))\n assert_identical(self.dv[:3], self.dv.isel(x=slice(3)))\n assert_identical(self.dv[:3, :5], self.dv.isel(x=slice(3), y=slice(5)))\n+ with raises_regex(\n+ ValueError,\n+ r\"dimensions {'not_a_dim'} do not exist. Expected \"\n+ r\"one or more of \\('x', 'y'\\)\",\n+ ):\n+ self.dv.isel(not_a_dim=0)\n+ with pytest.warns(\n+ UserWarning,\n+ match=r\"dimensions {'not_a_dim'} do not exist. \"\n+ r\"Expected one or more of \\('x', 'y'\\)\",\n+ ):\n+ self.dv.isel(not_a_dim=0, missing_dims=\"warn\")\n+ assert_identical(self.dv, self.dv.isel(not_a_dim=0, missing_dims=\"ignore\"))\n \n def test_isel_types(self):\n # regression test for #1405\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 237c315583c..a1cb7361e77 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -1023,6 +1023,21 @@ def test_isel(self):\n \n with pytest.raises(ValueError):\n data.isel(not_a_dim=slice(0, 2))\n+ with raises_regex(\n+ ValueError,\n+ r\"dimensions {'not_a_dim'} do not exist. Expected \"\n+ r\"one or more of \"\n+ r\"[\\w\\W]*'time'[\\w\\W]*'dim\\d'[\\w\\W]*'dim\\d'[\\w\\W]*'dim\\d'[\\w\\W]*\",\n+ ):\n+ data.isel(not_a_dim=slice(0, 2))\n+ with pytest.warns(\n+ UserWarning,\n+ match=r\"dimensions {'not_a_dim'} do not exist. \"\n+ r\"Expected one or more of \"\n+ r\"[\\w\\W]*'time'[\\w\\W]*'dim\\d'[\\w\\W]*'dim\\d'[\\w\\W]*'dim\\d'[\\w\\W]*\",\n+ ):\n+ data.isel(not_a_dim=slice(0, 2), missing_dims=\"warn\")\n+ assert_identical(data, data.isel(not_a_dim=slice(0, 2), missing_dims=\"ignore\"))\n \n ret = data.isel(dim1=0)\n assert {\"time\": 20, \"dim2\": 9, \"dim3\": 10} == ret.dims\ndiff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py\nindex 116466e112d..78e3848b8fb 100644\n--- a/xarray/tests/test_variable.py\n+++ b/xarray/tests/test_variable.py\n@@ -1254,8 +1254,19 @@ def test_isel(self):\n assert_identical(v.isel(x=0), v[:, 0])\n assert_identical(v.isel(x=[0, 2]), v[:, [0, 2]])\n assert_identical(v.isel(time=[]), v[[]])\n- with raises_regex(ValueError, \"do not exist\"):\n+ with raises_regex(\n+ ValueError,\n+ r\"dimensions {'not_a_dim'} do not exist. Expected one or more of \"\n+ r\"\\('time', 'x'\\)\",\n+ ):\n v.isel(not_a_dim=0)\n+ with pytest.warns(\n+ UserWarning,\n+ match=r\"dimensions {'not_a_dim'} do not exist. Expected one or more of \"\n+ r\"\\('time', 'x'\\)\",\n+ ):\n+ v.isel(not_a_dim=0, missing_dims=\"warn\")\n+ assert_identical(v, v.isel(not_a_dim=0, missing_dims=\"ignore\"))\n \n def test_index_0d_numpy_string(self):\n # regression test to verify our work around for indexing 0d strings\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b9c81ad3474..46a67f9ae4f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -35,6 +35,11 @@ New Features\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\n By `John Omotani <https://github.com/johnomotani>`_\n+- 'missing_dims' argument to :py:meth:`Dataset.isel`,\n+ `:py:meth:`DataArray.isel` and :py:meth:`Variable.isel` to allow replacing\n+ the exception when a dimension passed to ``isel`` is not present with a\n+ warning, or just ignore the dimension. (:issue:`3866`, :pull:`3923`)\n+ By `John Omotani <https://github.com/johnomotani>`_\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`3900`)\n By `Maximilian Roos <https://github.com/max-sixty>`_\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex b9c81ad3474..46a67f9ae4f 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -35,6 +35,11 @@ New Features\\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\\n combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)\\n By `John Omotani <https://github.com/johnomotani>`_\\n+- 'missing_dims' argument to :py:meth:`Dataset.isel`,\\n+ `:py:meth:`DataArray.isel` and :py:meth:`Variable.isel` to allow replacing\\n+ the exception when a dimension passed to ``isel`` is not present with a\\n+ warning, or just ignore the dimension. (:issue:`3866`, :pull:`3923`)\\n+ By `John Omotani <https://github.com/johnomotani>`_\\n - Limited the length of array items with long string reprs to a\\n reasonable width (:pull:`3900`)\\n By `Maximilian Roos <https://github.com/max-sixty>`_\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0016"},"base_commit":{"kind":"string","value":"b3bafeefbd6e6d70bce505ae1f0d9d5a2b015089"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[0-x-q1-True]\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-1-None-var]\",\n \"xarray/tests/test_dataarray.py::TestReduce1D::test_max[x5-0-1-None]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[std-2-1-True-2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_to_stacked_array_dtype_dims\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-2-2-True-1]\",\n \"xarray/tests/test_dataarray.py::TestDataArray::test_coordinate_diff\",\n \"xarray/tests/test_dataset.py::TestDataset::test_get_index\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-3-False-2]\",\n \"xarray/tests/test_variable.py::TestVariable::test_getitem_fancy\",\n \"xarray/tests/test_variable.py::TestVariable::test_datetime64_conversion_scalar\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_dataarray.py::TestDataArray::test_isel","xarray/tests/test_dataset.py::TestDataset::test_isel","xarray/tests/test_variable.py::TestVariable::test_isel"],"string":"[\n \"xarray/tests/test_dataarray.py::TestDataArray::test_isel\",\n \"xarray/tests/test_dataset.py::TestDataset::test_isel\",\n \"xarray/tests/test_variable.py::TestVariable::test_isel\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b9c81ad3474..46a67f9ae4f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -35,6 +35,11 @@ New Features\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_\n+- 'missing_dims' argument to :py:meth:`Dataset.isel`,\n+ `:py:meth:`DataArray.isel` and :py:meth:`Variable.isel` to allow replacing\n+ the exception when a dimension passed to ``isel`` is not present with a\n+ warning, or just ignore the dimension. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`<PRID>`)\n By `<NAME>`_\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex b9c81ad3474..46a67f9ae4f 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -35,6 +35,11 @@ New Features\\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\\n combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\\n By `<NAME>`_\\n+- 'missing_dims' argument to :py:meth:`Dataset.isel`,\\n+ `:py:meth:`DataArray.isel` and :py:meth:`Variable.isel` to allow replacing\\n+ the exception when a dimension passed to ``isel`` is not present with a\\n+ warning, or just ignore the dimension. (:issue:`<PRID>`, :pull:`<PRID>`)\\n+ By `<NAME>`_\\n - Limited the length of array items with long string reprs to a\\n reasonable width (:pull:`<PRID>`)\\n By `<NAME>`_\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b9c81ad3474..46a67f9ae4f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -35,6 +35,11 @@ New Features\n :py:func:`combine_by_coords` and :py:func:`combine_nested` using\n combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)\n By `<NAME>`_\n+- 'missing_dims' argument to :py:meth:`Dataset.isel`,\n+ `:py:meth:`DataArray.isel` and :py:meth:`Variable.isel` to allow replacing\n+ the exception when a dimension passed to ``isel`` is not present with a\n+ warning, or just ignore the dimension. (:issue:`<PRID>`, :pull:`<PRID>`)\n+ By `<NAME>`_\n - Limited the length of array items with long string reprs to a\n reasonable width (:pull:`<PRID>`)\n By `<NAME>`_\n\n"}}},{"rowIdx":594,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3637"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3637"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1f60d457432..a15e7e35cb8 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:func:`xarray.concat` now preserves attributes from the first Variable.\n+ (:issue:`2575`, :issue:`2060`, :issue:`1614`)\n+ By `Deepak Cherian <https://github.com/dcherian>`_.\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `Deepak Cherian <https://github.com/dcherian>`_.\ndiff --git a/xarray/core/concat.py b/xarray/core/concat.py\nindex 5ccbfa3f2b4..302f7afcec6 100644\n--- a/xarray/core/concat.py\n+++ b/xarray/core/concat.py\n@@ -93,12 +93,14 @@ def concat(\n those of the first object with that dimension. Indexes for the same\n dimension must have the same size in all objects.\n \n- indexers, mode, concat_over : deprecated\n-\n Returns\n -------\n concatenated : type of objs\n \n+ Notes\n+ -----\n+ Each concatenated Variable preserves corresponding ``attrs`` from the first element of ``objs``.\n+\n See also\n --------\n merge\ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex aa04cffb5ea..ccfa2217abb 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -1622,8 +1622,9 @@ def concat(cls, variables, dim=\"concat_dim\", positions=None, shortcut=False):\n if not shortcut:\n for var in variables:\n if var.dims != first_var.dims:\n- raise ValueError(\"inconsistent dimensions\")\n- utils.remove_incompatible_items(attrs, var.attrs)\n+ raise ValueError(\n+ f\"Variable has dimensions {list(var.dims)} but first Variable has dimensions {list(first_var.dims)}\"\n+ )\n \n return cls(dims, data, attrs, encoding)\n \n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_concat.py b/xarray/tests/test_concat.py\nindex 0661ebb7a38..def5abc942f 100644\n--- a/xarray/tests/test_concat.py\n+++ b/xarray/tests/test_concat.py\n@@ -462,3 +462,16 @@ def test_concat_join_kwarg(self):\n for join in expected:\n actual = concat([ds1, ds2], join=join, dim=\"x\")\n assert_equal(actual, expected[join].to_array())\n+\n+\n+@pytest.mark.parametrize(\"attr1\", ({\"a\": {\"meta\": [10, 20, 30]}}, {\"a\": [1, 2, 3]}, {}))\n+@pytest.mark.parametrize(\"attr2\", ({\"a\": [1, 2, 3]}, {}))\n+def test_concat_attrs_first_variable(attr1, attr2):\n+\n+ arrs = [\n+ DataArray([[1], [2]], dims=[\"x\", \"y\"], attrs=attr1),\n+ DataArray([[3], [4]], dims=[\"x\", \"y\"], attrs=attr2),\n+ ]\n+\n+ concat_attrs = concat(arrs, \"y\").attrs\n+ assert concat_attrs == attr1\ndiff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py\nindex 1d83e16a5bd..bc9a0f56c0f 100644\n--- a/xarray/tests/test_variable.py\n+++ b/xarray/tests/test_variable.py\n@@ -432,7 +432,7 @@ def test_concat(self):\n assert_identical(\n Variable([\"b\", \"a\"], np.array([x, y])), Variable.concat((v, w), \"b\")\n )\n- with raises_regex(ValueError, \"inconsistent dimensions\"):\n+ with raises_regex(ValueError, \"Variable has dimensions\"):\n Variable.concat([v, Variable([\"c\"], y)], \"b\")\n # test indexers\n actual = Variable.concat(\n@@ -451,16 +451,12 @@ def test_concat(self):\n Variable.concat([v[:, 0], v[:, 1:]], \"x\")\n \n def test_concat_attrs(self):\n- # different or conflicting attributes should be removed\n+ # always keep attrs from first variable\n v = self.cls(\"a\", np.arange(5), {\"foo\": \"bar\"})\n w = self.cls(\"a\", np.ones(5))\n expected = self.cls(\n \"a\", np.concatenate([np.arange(5), np.ones(5)])\n ).to_base_variable()\n- assert_identical(expected, Variable.concat([v, w], \"a\"))\n- w.attrs[\"foo\"] = 2\n- assert_identical(expected, Variable.concat([v, w], \"a\"))\n- w.attrs[\"foo\"] = \"bar\"\n expected.attrs[\"foo\"] = \"bar\"\n assert_identical(expected, Variable.concat([v, w], \"a\"))\n \n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1f60d457432..a15e7e35cb8 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:func:`xarray.concat` now preserves attributes from the first Variable.\n+ (:issue:`2575`, :issue:`2060`, :issue:`1614`)\n+ By `Deepak Cherian <https://github.com/dcherian>`_.\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `Deepak Cherian <https://github.com/dcherian>`_.\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 1f60d457432..a15e7e35cb8 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -25,6 +25,9 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- :py:func:`xarray.concat` now preserves attributes from the first Variable.\\n+ (:issue:`2575`, :issue:`2060`, :issue:`1614`)\\n+ By `Deepak Cherian <https://github.com/dcherian>`_.\\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\\n now work with dask Variables.\\n By `Deepak Cherian <https://github.com/dcherian>`_.\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0015"},"base_commit":{"kind":"string","value":"6295bc6bca1559680544ea86051f35fa2d367fe1"},"PASS2PASS":{"kind":"list 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like","value":["xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr21-attr10]","xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr21-attr11]","xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr20-attr10]","xarray/tests/test_variable.py::TestIndexVariable::test_concat","xarray/tests/test_variable.py::TestVariable::test_concat","xarray/tests/test_variable.py::TestIndexVariable::test_concat_attrs","xarray/tests/test_variable.py::TestVariable::test_concat_attrs"],"string":"[\n \"xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr21-attr10]\",\n \"xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr21-attr11]\",\n \"xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr20-attr10]\",\n \"xarray/tests/test_variable.py::TestIndexVariable::test_concat\",\n \"xarray/tests/test_variable.py::TestVariable::test_concat\",\n \"xarray/tests/test_variable.py::TestIndexVariable::test_concat_attrs\",\n \"xarray/tests/test_variable.py::TestVariable::test_concat_attrs\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1f60d457432..a15e7e35cb8 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:func:`xarray.concat` now preserves attributes from the first Variable.\n+ (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`)\n+ By `<NAME>`_.\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `<NAME>`_.\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 1f60d457432..a15e7e35cb8 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -25,6 +25,9 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- :py:func:`xarray.concat` now preserves attributes from the first Variable.\\n+ (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`)\\n+ By `<NAME>`_.\\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\\n now work with dask Variables.\\n By `<NAME>`_.\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1f60d457432..a15e7e35cb8 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:func:`xarray.concat` now preserves attributes from the first Variable.\n+ (:issue:`<PRID>`, :issue:`<PRID>`, :issue:`<PRID>`)\n+ By `<NAME>`_.\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `<NAME>`_.\n\n"}}},{"rowIdx":595,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3826"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3826"},"feature_patch":{"kind":"string","value":"diff --git a/doc/reshaping.rst b/doc/reshaping.rst\nindex 455a24f9216..465ca14dfc2 100644\n--- a/doc/reshaping.rst\n+++ b/doc/reshaping.rst\n@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and\n stacked\n stacked.unstack('z')\n \n+As elsewhere in xarray, an ellipsis (`...`) can be used to represent all unlisted dimensions:\n+\n+.. ipython:: python\n+\n+ stacked = array.stack(z=[..., \"x\"])\n+ stacked\n+\n These methods are modeled on the :py:class:`pandas.DataFrame` methods of the\n same name, although in xarray they always create new dimensions rather than\n adding to the existing index or columns.\n@@ -164,6 +171,7 @@ like this:\n 'b': ('x', [6, 7])},\n coords={'y': ['u', 'v', 'w']}\n )\n+ data\n stacked = data.to_stacked_array(\"z\", sample_dims=['x'])\n stacked\n unstacked = stacked.to_unstacked_dataset(\"z\")\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8140288f350..ee87a5f78d9 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -39,13 +39,19 @@ New Features\n By `Justus Magin <https://github.com/keewis>`_.\n - :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n `TypeError` on multiple string arguments. Receiving multiple string arguments\n- often means a user is attempting to pass multiple dimensions to group over\n- and should instead pass a list.\n+ often means a user is attempting to pass multiple dimensions as separate\n+ arguments and should instead pass a single list of dimensions.\n+ (:pull:`3802`)\n By `Maximilian Roos <https://github.com/max-sixty>`_\n - The new ``Dataset._repr_html_`` and ``DataArray._repr_html_`` (introduced\n in 0.14.1) is now on by default. To disable, use\n ``xarray.set_options(display_style=\"text\")``.\n By `Julia Signell <https://github.com/jsignell>`_.\n+- An ellipsis (``...``) is now supported in the ``dims`` argument of\n+ :py:meth:`Dataset.stack` and :py:meth:`DataArray.stack`, meaning all\n+ unlisted dimensions, similar to its meaning in :py:meth:`DataArray.transpose`.\n+ (:pull:`3826`)\n+ By `Maximilian Roos <https://github.com/max-sixty>`_\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n By `Maximilian Roos <https://github.com/max-sixty>`_.\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex bd956553929..324e7ccd290 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -1709,7 +1709,9 @@ def stack(\n ----------\n dimensions : Mapping of the form new_name=(dim1, dim2, ...)\n Names of new dimensions, and the existing dimensions that they\n- replace.\n+ replace. An ellipsis (`...`) will be replaced by all unlisted dimensions.\n+ Passing a list containing an ellipsis (`stacked_dim=[...]`) will stack over\n+ all dimensions.\n **dimensions_kwargs:\n The keyword arguments form of ``dimensions``.\n One of dimensions or dimensions_kwargs must be provided.\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 7c218e209cb..4a369b9aa81 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -87,6 +87,7 @@\n decode_numpy_dict_values,\n either_dict_or_kwargs,\n hashable,\n+ infix_dims,\n is_dict_like,\n is_scalar,\n maybe_wrap_array,\n@@ -3262,6 +3263,8 @@ def reorder_levels(\n return self._replace(variables, indexes=indexes)\n \n def _stack_once(self, dims, new_dim):\n+ if ... in dims:\n+ dims = list(infix_dims(dims, self.dims))\n variables = {}\n for name, var in self.variables.items():\n if name not in dims:\n@@ -3304,7 +3307,9 @@ def stack(\n ----------\n dimensions : Mapping of the form new_name=(dim1, dim2, ...)\n Names of new dimensions, and the existing dimensions that they\n- replace.\n+ replace. An ellipsis (`...`) will be replaced by all unlisted dimensions.\n+ Passing a list containing an ellipsis (`stacked_dim=[...]`) will stack over\n+ all dimensions.\n **dimensions_kwargs:\n The keyword arguments form of ``dimensions``.\n One of dimensions or dimensions_kwargs must be provided.\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex de02f8e059d..6f065c9daed 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -2040,6 +2040,9 @@ def test_stack_unstack(self):\n actual = orig.stack(z=[\"x\", \"y\"]).unstack(\"z\").drop_vars([\"x\", \"y\"])\n assert_identical(orig, actual)\n \n+ actual = orig.stack(z=[...]).unstack(\"z\").drop_vars([\"x\", \"y\"])\n+ assert_identical(orig, actual)\n+\n dims = [\"a\", \"b\", \"c\", \"d\", \"e\"]\n orig = xr.DataArray(np.random.rand(1, 2, 3, 2, 1), dims=dims)\n stacked = orig.stack(ab=[\"a\", \"b\"], cd=[\"c\", \"d\"])\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 74173e71af6..d2e7bcdabf8 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -2879,6 +2879,17 @@ def test_stack(self):\n actual = ds.stack(z=[\"x\", \"y\"])\n assert_identical(expected, actual)\n \n+ actual = ds.stack(z=[...])\n+ assert_identical(expected, actual)\n+\n+ # non list dims with ellipsis\n+ actual = ds.stack(z=(...,))\n+ assert_identical(expected, actual)\n+\n+ # ellipsis with given dim\n+ actual = ds.stack(z=[..., \"y\"])\n+ assert_identical(expected, actual)\n+\n exp_index = pd.MultiIndex.from_product([[\"a\", \"b\"], [0, 1]], names=[\"y\", \"x\"])\n expected = Dataset(\n {\"a\": (\"z\", [0, 1, 0, 1]), \"b\": (\"z\", [0, 2, 1, 3]), \"z\": exp_index}\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/reshaping.rst","old_path":"a/doc/reshaping.rst","new_path":"b/doc/reshaping.rst","metadata":"diff --git a/doc/reshaping.rst b/doc/reshaping.rst\nindex 455a24f9216..465ca14dfc2 100644\n--- a/doc/reshaping.rst\n+++ b/doc/reshaping.rst\n@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and\n stacked\n stacked.unstack('z')\n \n+As elsewhere in xarray, an ellipsis (`...`) can be used to represent all unlisted dimensions:\n+\n+.. ipython:: python\n+\n+ stacked = array.stack(z=[..., \"x\"])\n+ stacked\n+\n These methods are modeled on the :py:class:`pandas.DataFrame` methods of the\n same name, although in xarray they always create new dimensions rather than\n adding to the existing index or columns.\n@@ -164,6 +171,7 @@ like this:\n 'b': ('x', [6, 7])},\n coords={'y': ['u', 'v', 'w']}\n )\n+ data\n stacked = data.to_stacked_array(\"z\", sample_dims=['x'])\n stacked\n unstacked = stacked.to_unstacked_dataset(\"z\")\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8140288f350..ee87a5f78d9 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -39,13 +39,19 @@ New Features\n By `Justus Magin <https://github.com/keewis>`_.\n - :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n `TypeError` on multiple string arguments. Receiving multiple string arguments\n- often means a user is attempting to pass multiple dimensions to group over\n- and should instead pass a list.\n+ often means a user is attempting to pass multiple dimensions as separate\n+ arguments and should instead pass a single list of dimensions.\n+ (:pull:`3802`)\n By `Maximilian Roos <https://github.com/max-sixty>`_\n - The new ``Dataset._repr_html_`` and ``DataArray._repr_html_`` (introduced\n in 0.14.1) is now on by default. To disable, use\n ``xarray.set_options(display_style=\"text\")``.\n By `Julia Signell <https://github.com/jsignell>`_.\n+- An ellipsis (``...``) is now supported in the ``dims`` argument of\n+ :py:meth:`Dataset.stack` and :py:meth:`DataArray.stack`, meaning all\n+ unlisted dimensions, similar to its meaning in :py:meth:`DataArray.transpose`.\n+ (:pull:`3826`)\n+ By `Maximilian Roos <https://github.com/max-sixty>`_\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n By `Maximilian Roos <https://github.com/max-sixty>`_.\n"}],"string":"[\n {\n \"path\": \"doc/reshaping.rst\",\n \"old_path\": \"a/doc/reshaping.rst\",\n \"new_path\": \"b/doc/reshaping.rst\",\n \"metadata\": \"diff --git a/doc/reshaping.rst b/doc/reshaping.rst\\nindex 455a24f9216..465ca14dfc2 100644\\n--- a/doc/reshaping.rst\\n+++ b/doc/reshaping.rst\\n@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and\\n stacked\\n stacked.unstack('z')\\n \\n+As elsewhere in xarray, an ellipsis (`...`) can be used to represent all unlisted dimensions:\\n+\\n+.. ipython:: python\\n+\\n+ stacked = array.stack(z=[..., \\\"x\\\"])\\n+ stacked\\n+\\n These methods are modeled on the :py:class:`pandas.DataFrame` methods of the\\n same name, although in xarray they always create new dimensions rather than\\n adding to the existing index or columns.\\n@@ -164,6 +171,7 @@ like this:\\n 'b': ('x', [6, 7])},\\n coords={'y': ['u', 'v', 'w']}\\n )\\n+ data\\n stacked = data.to_stacked_array(\\\"z\\\", sample_dims=['x'])\\n stacked\\n unstacked = stacked.to_unstacked_dataset(\\\"z\\\")\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 8140288f350..ee87a5f78d9 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -39,13 +39,19 @@ New Features\\n By `Justus Magin <https://github.com/keewis>`_.\\n - :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \\n `TypeError` on multiple string arguments. Receiving multiple string arguments\\n- often means a user is attempting to pass multiple dimensions to group over\\n- and should instead pass a list.\\n+ often means a user is attempting to pass multiple dimensions as separate\\n+ arguments and should instead pass a single list of dimensions.\\n+ (:pull:`3802`)\\n By `Maximilian Roos <https://github.com/max-sixty>`_\\n - The new ``Dataset._repr_html_`` and ``DataArray._repr_html_`` (introduced\\n in 0.14.1) is now on by default. To disable, use\\n ``xarray.set_options(display_style=\\\"text\\\")``.\\n By `Julia Signell <https://github.com/jsignell>`_.\\n+- An ellipsis (``...``) is now supported in the ``dims`` argument of\\n+ :py:meth:`Dataset.stack` and :py:meth:`DataArray.stack`, meaning all\\n+ unlisted dimensions, similar to its meaning in :py:meth:`DataArray.transpose`.\\n+ (:pull:`3826`)\\n+ By `Maximilian Roos <https://github.com/max-sixty>`_\\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\\n first argument, which is then called on the input; replicating pandas' behavior.\\n By `Maximilian Roos <https://github.com/max-sixty>`_.\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0015"},"base_commit":{"kind":"string","value":"e7d6e12662ae113a57eaf38eb2a19ab9ff92b9a8"},"PASS2PASS":{"kind":"list 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a/doc/reshaping.rst\n+++ b/doc/reshaping.rst\n@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and\n stacked\n stacked.unstack('z')\n \n+As elsewhere in xarray, an ellipsis (`...`) can be used to represent all unlisted dimensions:\n+\n+.. ipython:: python\n+\n+ stacked = array.stack(z=[..., \"x\"])\n+ stacked\n+\n These methods are modeled on the :py:class:`pandas.DataFrame` methods of the\n same name, although in xarray they always create new dimensions rather than\n adding to the existing index or columns.\n@@ -164,6 +171,7 @@ like this:\n 'b': ('x', [6, 7])},\n coords={'y': ['u', 'v', 'w']}\n )\n+ data\n stacked = data.to_stacked_array(\"z\", sample_dims=['x'])\n stacked\n unstacked = stacked.to_unstacked_dataset(\"z\")\n"},{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8140288f350..ee87a5f78d9 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -39,13 +39,19 @@ New Features\n By `<NAME>`_.\n - :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n `TypeError` on multiple string arguments. Receiving multiple string arguments\n- often means a user is attempting to pass multiple dimensions to group over\n- and should instead pass a list.\n+ often means a user is attempting to pass multiple dimensions as separate\n+ arguments and should instead pass a single list of dimensions.\n+ (:pull:`<PRID>`)\n By `<NAME>`_\n - The new ``Dataset._repr_html_`` and ``DataArray._repr_html_`` (introduced\n in 0.14.1) is now on by default. To disable, use\n ``xarray.set_options(display_style=\"text\")``.\n By `<NAME>`_.\n+- An ellipsis (``...``) is now supported in the ``dims`` argument of\n+ :py:meth:`Dataset.stack` and :py:meth:`DataArray.stack`, meaning all\n+ unlisted dimensions, similar to its meaning in :py:meth:`DataArray.transpose`.\n+ (:pull:`<PRID>`)\n+ By `<NAME>`_\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n By `<NAME>`_.\n"}],"string":"[\n {\n \"path\": \"doc/reshaping.rst\",\n \"old_path\": \"a/doc/reshaping.rst\",\n \"new_path\": \"b/doc/reshaping.rst\",\n \"metadata\": \"diff --git a/doc/reshaping.rst b/doc/reshaping.rst\\nindex 455a24f9216..465ca14dfc2 100644\\n--- a/doc/reshaping.rst\\n+++ b/doc/reshaping.rst\\n@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and\\n stacked\\n stacked.unstack('z')\\n \\n+As elsewhere in xarray, an ellipsis (`...`) can be used to represent all unlisted dimensions:\\n+\\n+.. ipython:: python\\n+\\n+ stacked = array.stack(z=[..., \\\"x\\\"])\\n+ stacked\\n+\\n These methods are modeled on the :py:class:`pandas.DataFrame` methods of the\\n same name, although in xarray they always create new dimensions rather than\\n adding to the existing index or columns.\\n@@ -164,6 +171,7 @@ like this:\\n 'b': ('x', [6, 7])},\\n coords={'y': ['u', 'v', 'w']}\\n )\\n+ data\\n stacked = data.to_stacked_array(\\\"z\\\", sample_dims=['x'])\\n stacked\\n unstacked = stacked.to_unstacked_dataset(\\\"z\\\")\\n\"\n },\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 8140288f350..ee87a5f78d9 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -39,13 +39,19 @@ New Features\\n By `<NAME>`_.\\n - :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \\n `TypeError` on multiple string arguments. Receiving multiple string arguments\\n- often means a user is attempting to pass multiple dimensions to group over\\n- and should instead pass a list.\\n+ often means a user is attempting to pass multiple dimensions as separate\\n+ arguments and should instead pass a single list of dimensions.\\n+ (:pull:`<PRID>`)\\n By `<NAME>`_\\n - The new ``Dataset._repr_html_`` and ``DataArray._repr_html_`` (introduced\\n in 0.14.1) is now on by default. To disable, use\\n ``xarray.set_options(display_style=\\\"text\\\")``.\\n By `<NAME>`_.\\n+- An ellipsis (``...``) is now supported in the ``dims`` argument of\\n+ :py:meth:`Dataset.stack` and :py:meth:`DataArray.stack`, meaning all\\n+ unlisted dimensions, similar to its meaning in :py:meth:`DataArray.transpose`.\\n+ (:pull:`<PRID>`)\\n+ By `<NAME>`_\\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\\n first argument, which is then called on the input; replicating pandas' behavior.\\n By `<NAME>`_.\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/reshaping.rst b/doc/reshaping.rst\nindex 455a24f9216..465ca14dfc2 100644\n--- a/doc/reshaping.rst\n+++ b/doc/reshaping.rst\n@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and\n stacked\n stacked.unstack('z')\n \n+As elsewhere in xarray, an ellipsis (`...`) can be used to represent all unlisted dimensions:\n+\n+.. ipython:: python\n+\n+ stacked = array.stack(z=[..., \"x\"])\n+ stacked\n+\n These methods are modeled on the :py:class:`pandas.DataFrame` methods of the\n same name, although in xarray they always create new dimensions rather than\n adding to the existing index or columns.\n@@ -164,6 +171,7 @@ like this:\n 'b': ('x', [6, 7])},\n coords={'y': ['u', 'v', 'w']}\n )\n+ data\n stacked = data.to_stacked_array(\"z\", sample_dims=['x'])\n stacked\n unstacked = stacked.to_unstacked_dataset(\"z\")\n\ndiff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8140288f350..ee87a5f78d9 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -39,13 +39,19 @@ New Features\n By `<NAME>`_.\n - :py:meth:`Dataset.groupby` and :py:meth:`DataArray.groupby` now raise a \n `TypeError` on multiple string arguments. Receiving multiple string arguments\n- often means a user is attempting to pass multiple dimensions to group over\n- and should instead pass a list.\n+ often means a user is attempting to pass multiple dimensions as separate\n+ arguments and should instead pass a single list of dimensions.\n+ (:pull:`<PRID>`)\n By `<NAME>`_\n - The new ``Dataset._repr_html_`` and ``DataArray._repr_html_`` (introduced\n in 0.14.1) is now on by default. To disable, use\n ``xarray.set_options(display_style=\"text\")``.\n By `<NAME>`_.\n+- An ellipsis (``...``) is now supported in the ``dims`` argument of\n+ :py:meth:`Dataset.stack` and :py:meth:`DataArray.stack`, meaning all\n+ unlisted dimensions, similar to its meaning in :py:meth:`DataArray.transpose`.\n+ (:pull:`<PRID>`)\n+ By `<NAME>`_\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n By `<NAME>`_.\n\n"}}},{"rowIdx":596,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3670"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3670"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9fbeaa95055..0e48dfcfc78 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -40,6 +40,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`)\n+ By `Keisuke Fujii <https://github.com/fujiisoup>`_.\n - Support using an existing, opened h5netcdf ``File`` with\n :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an\n :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 5ac79999795..6f1ea76be4c 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -64,6 +64,7 @@\n default_indexes,\n isel_variable_and_index,\n propagate_indexes,\n+ remove_unused_levels_categories,\n roll_index,\n )\n from .indexing import is_fancy_indexer\n@@ -3411,7 +3412,7 @@ def ensure_stackable(val):\n \n def _unstack_once(self, dim: Hashable, fill_value, sparse) -> \"Dataset\":\n index = self.get_index(dim)\n- index = index.remove_unused_levels()\n+ index = remove_unused_levels_categories(index)\n full_idx = pd.MultiIndex.from_product(index.levels, names=index.names)\n \n # take a shortcut in case the MultiIndex was not modified.\n@@ -4460,7 +4461,7 @@ def to_dataframe(self):\n return self._to_dataframe(self.dims)\n \n def _set_sparse_data_from_dataframe(\n- self, dataframe: pd.DataFrame, dims: tuple, shape: Tuple[int, ...]\n+ self, dataframe: pd.DataFrame, dims: tuple\n ) -> None:\n from sparse import COO\n \n@@ -4468,9 +4469,11 @@ def _set_sparse_data_from_dataframe(\n if isinstance(idx, pd.MultiIndex):\n coords = np.stack([np.asarray(code) for code in idx.codes], axis=0)\n is_sorted = idx.is_lexsorted\n+ shape = tuple(lev.size for lev in idx.levels)\n else:\n coords = np.arange(idx.size).reshape(1, -1)\n is_sorted = True\n+ shape = (idx.size,)\n \n for name, series in dataframe.items():\n # Cast to a NumPy array first, in case the Series is a pandas\n@@ -4495,14 +4498,16 @@ def _set_sparse_data_from_dataframe(\n self[name] = (dims, data)\n \n def _set_numpy_data_from_dataframe(\n- self, dataframe: pd.DataFrame, dims: tuple, shape: Tuple[int, ...]\n+ self, dataframe: pd.DataFrame, dims: tuple\n ) -> None:\n idx = dataframe.index\n if isinstance(idx, pd.MultiIndex):\n # expand the DataFrame to include the product of all levels\n full_idx = pd.MultiIndex.from_product(idx.levels, names=idx.names)\n dataframe = dataframe.reindex(full_idx)\n-\n+ shape = tuple(lev.size for lev in idx.levels)\n+ else:\n+ shape = (idx.size,)\n for name, series in dataframe.items():\n data = np.asarray(series).reshape(shape)\n self[name] = (dims, data)\n@@ -4543,7 +4548,8 @@ def from_dataframe(cls, dataframe: pd.DataFrame, sparse: bool = False) -> \"Datas\n if not dataframe.columns.is_unique:\n raise ValueError(\"cannot convert DataFrame with non-unique columns\")\n \n- idx = dataframe.index\n+ idx = remove_unused_levels_categories(dataframe.index)\n+ dataframe = dataframe.set_index(idx)\n obj = cls()\n \n if isinstance(idx, pd.MultiIndex):\n@@ -4553,17 +4559,15 @@ def from_dataframe(cls, dataframe: pd.DataFrame, sparse: bool = False) -> \"Datas\n )\n for dim, lev in zip(dims, idx.levels):\n obj[dim] = (dim, lev)\n- shape = tuple(lev.size for lev in idx.levels)\n else:\n index_name = idx.name if idx.name is not None else \"index\"\n dims = (index_name,)\n obj[index_name] = (dims, idx)\n- shape = (idx.size,)\n \n if sparse:\n- obj._set_sparse_data_from_dataframe(dataframe, dims, shape)\n+ obj._set_sparse_data_from_dataframe(dataframe, dims)\n else:\n- obj._set_numpy_data_from_dataframe(dataframe, dims, shape)\n+ obj._set_numpy_data_from_dataframe(dataframe, dims)\n return obj\n \n def to_dask_dataframe(self, dim_order=None, set_index=False):\ndiff --git a/xarray/core/indexes.py b/xarray/core/indexes.py\nindex 8337a0f082a..06bf08cefd2 100644\n--- a/xarray/core/indexes.py\n+++ b/xarray/core/indexes.py\n@@ -9,6 +9,26 @@\n from .variable import Variable\n \n \n+def remove_unused_levels_categories(index):\n+ \"\"\"\n+ Remove unused levels from MultiIndex and unused categories from CategoricalIndex\n+ \"\"\"\n+ if isinstance(index, pd.MultiIndex):\n+ index = index.remove_unused_levels()\n+ # if it contains CategoricalIndex, we need to remove unused categories\n+ # manually. See https://github.com/pandas-dev/pandas/issues/30846\n+ if any(isinstance(lev, pd.CategoricalIndex) for lev in index.levels):\n+ levels = []\n+ for i, level in enumerate(index.levels):\n+ if isinstance(level, pd.CategoricalIndex):\n+ level = level[index.codes[i]].remove_unused_categories()\n+ levels.append(level)\n+ index = pd.MultiIndex.from_arrays(levels, names=index.names)\n+ elif isinstance(index, pd.CategoricalIndex):\n+ index = index.remove_unused_categories()\n+ return index\n+\n+\n class Indexes(collections.abc.Mapping):\n \"\"\"Immutable proxy for Dataset or DataArrary indexes.\"\"\"\n \ndiff --git a/xarray/core/indexing.py b/xarray/core/indexing.py\nindex 8e851b39c3e..4e58be1ad2f 100644\n--- a/xarray/core/indexing.py\n+++ b/xarray/core/indexing.py\n@@ -175,6 +175,16 @@ def convert_label_indexer(index, label, index_name=\"\", method=None, tolerance=No\n if label.ndim == 0:\n if isinstance(index, pd.MultiIndex):\n indexer, new_index = index.get_loc_level(label.item(), level=0)\n+ elif isinstance(index, pd.CategoricalIndex):\n+ if method is not None:\n+ raise ValueError(\n+ \"'method' is not a valid kwarg when indexing using a CategoricalIndex.\"\n+ )\n+ if tolerance is not None:\n+ raise ValueError(\n+ \"'tolerance' is not a valid kwarg when indexing using a CategoricalIndex.\"\n+ )\n+ indexer = index.get_loc(label.item())\n else:\n indexer = index.get_loc(\n label.item(), method=method, tolerance=tolerance\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex f9eb37dbf2f..4e51e229b29 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -1408,6 +1408,56 @@ def test_sel_dataarray_mindex(self):\n )\n )\n \n+ def test_sel_categorical(self):\n+ ind = pd.Series([\"foo\", \"bar\"], dtype=\"category\")\n+ df = pd.DataFrame({\"ind\": ind, \"values\": [1, 2]})\n+ ds = df.set_index(\"ind\").to_xarray()\n+ actual = ds.sel(ind=\"bar\")\n+ expected = ds.isel(ind=1)\n+ assert_identical(expected, actual)\n+\n+ def test_sel_categorical_error(self):\n+ ind = pd.Series([\"foo\", \"bar\"], dtype=\"category\")\n+ df = pd.DataFrame({\"ind\": ind, \"values\": [1, 2]})\n+ ds = df.set_index(\"ind\").to_xarray()\n+ with pytest.raises(ValueError):\n+ ds.sel(ind=\"bar\", method=\"nearest\")\n+ with pytest.raises(ValueError):\n+ ds.sel(ind=\"bar\", tolerance=\"nearest\")\n+\n+ def test_categorical_index(self):\n+ cat = pd.CategoricalIndex(\n+ [\"foo\", \"bar\", \"foo\"],\n+ categories=[\"foo\", \"bar\", \"baz\", \"qux\", \"quux\", \"corge\"],\n+ )\n+ ds = xr.Dataset(\n+ {\"var\": (\"cat\", np.arange(3))},\n+ coords={\"cat\": (\"cat\", cat), \"c\": (\"cat\", [0, 1, 1])},\n+ )\n+ # test slice\n+ actual = ds.sel(cat=\"foo\")\n+ expected = ds.isel(cat=[0, 2])\n+ assert_identical(expected, actual)\n+ # make sure the conversion to the array works\n+ actual = ds.sel(cat=\"foo\")[\"cat\"].values\n+ assert (actual == np.array([\"foo\", \"foo\"])).all()\n+\n+ ds = ds.set_index(index=[\"cat\", \"c\"])\n+ actual = ds.unstack(\"index\")\n+ assert actual[\"var\"].shape == (2, 2)\n+\n+ def test_categorical_reindex(self):\n+ cat = pd.CategoricalIndex(\n+ [\"foo\", \"bar\", \"baz\"],\n+ categories=[\"foo\", \"bar\", \"baz\", \"qux\", \"quux\", \"corge\"],\n+ )\n+ ds = xr.Dataset(\n+ {\"var\": (\"cat\", np.arange(3))},\n+ coords={\"cat\": (\"cat\", cat), \"c\": (\"cat\", [0, 1, 2])},\n+ )\n+ actual = ds.reindex(cat=[\"foo\"])[\"cat\"].values\n+ assert (actual == np.array([\"foo\"])).all()\n+\n def test_sel_drop(self):\n data = Dataset({\"foo\": (\"x\", [1, 2, 3])}, {\"x\": [0, 1, 2]})\n expected = Dataset({\"foo\": 1})\n@@ -3865,6 +3915,21 @@ def test_to_and_from_dataframe(self):\n expected = pd.DataFrame([[]], index=idx)\n assert expected.equals(actual), (expected, actual)\n \n+ def test_from_dataframe_categorical(self):\n+ cat = pd.CategoricalDtype(\n+ categories=[\"foo\", \"bar\", \"baz\", \"qux\", \"quux\", \"corge\"]\n+ )\n+ i1 = pd.Series([\"foo\", \"bar\", \"foo\"], dtype=cat)\n+ i2 = pd.Series([\"bar\", \"bar\", \"baz\"], dtype=cat)\n+\n+ df = pd.DataFrame({\"i1\": i1, \"i2\": i2, \"values\": [1, 2, 3]})\n+ ds = df.set_index(\"i1\").to_xarray()\n+ assert len(ds[\"i1\"]) == 3\n+\n+ ds = df.set_index([\"i1\", \"i2\"]).to_xarray()\n+ assert len(ds[\"i1\"]) == 2\n+ assert len(ds[\"i2\"]) == 2\n+\n @requires_sparse\n def test_from_dataframe_sparse(self):\n import sparse\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9fbeaa95055..0e48dfcfc78 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -40,6 +40,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`)\n+ By `Keisuke Fujii <https://github.com/fujiisoup>`_.\n - Support using an existing, opened h5netcdf ``File`` with\n :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an\n :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 9fbeaa95055..0e48dfcfc78 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -40,6 +40,8 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`)\\n+ By `Keisuke Fujii <https://github.com/fujiisoup>`_.\\n - Support using an existing, opened h5netcdf ``File`` with\\n :py:class:`~xarray.backends.H5NetCDFStore`. 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\"xarray/tests/test_dataset.py::TestDataset::test_from_dataframe_categorical\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9fbeaa95055..0e48dfcfc78 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -40,6 +40,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`<PRID>`)\n+ By `<NAME>`_.\n - Support using an existing, opened h5netcdf ``File`` with\n :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an\n :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 9fbeaa95055..0e48dfcfc78 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -40,6 +40,8 @@ Breaking changes\\n \\n New Features\\n ~~~~~~~~~~~~\\n+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`<PRID>`)\\n+ By `<NAME>`_.\\n - Support using an existing, opened h5netcdf ``File`` with\\n :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an\\n :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9fbeaa95055..0e48dfcfc78 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -40,6 +40,8 @@ Breaking changes\n \n New Features\n ~~~~~~~~~~~~\n+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`<PRID>`)\n+ By `<NAME>`_.\n - Support using an existing, opened h5netcdf ``File`` with\n :py:class:`~xarray.backends.H5NetCDFStore`. This permits creating an\n :py:class:`~xarray.Dataset` from a h5netcdf ``File`` that has been opened\n\n"}}},{"rowIdx":597,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3844"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3844"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 24120270444..2c30db99bcd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,7 +45,12 @@ New Features\n By `Julia Signell <https://github.com/jsignell>`_.\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n- By `Maximilian Roos <https://github.com/max-sixty>`_\n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\n+- Implement ``skipna`` in :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile`,\n+ :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n+ (:issue:`3843`, :pull:`3844`) \n+ By `Aaron Spring <https://github.com/aaronspring>`_.\n+\n \n Bug fixes\n ~~~~~~~~~\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 4e80ef222c2..7fcb42bf9d2 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -2939,6 +2939,7 @@ def quantile(\n dim: Union[Hashable, Sequence[Hashable], None] = None,\n interpolation: str = \"linear\",\n keep_attrs: bool = None,\n+ skipna: bool = True,\n ) -> \"DataArray\":\n \"\"\"Compute the qth quantile of the data along the specified dimension.\n \n@@ -2966,6 +2967,8 @@ def quantile(\n If True, the dataset's attributes (`attrs`) will be copied from\n the original object to the new one. If False (default), the new\n object will be returned without attributes.\n+ skipna : bool, optional\n+ Whether to skip missing values when aggregating.\n \n Returns\n -------\n@@ -2978,7 +2981,7 @@ def quantile(\n \n See Also\n --------\n- numpy.nanquantile, pandas.Series.quantile, Dataset.quantile\n+ numpy.nanquantile, numpy.quantile, pandas.Series.quantile, Dataset.quantile\n \n Examples\n --------\n@@ -3015,7 +3018,11 @@ def quantile(\n \"\"\"\n \n ds = self._to_temp_dataset().quantile(\n- q, dim=dim, keep_attrs=keep_attrs, interpolation=interpolation\n+ q,\n+ dim=dim,\n+ keep_attrs=keep_attrs,\n+ interpolation=interpolation,\n+ skipna=skipna,\n )\n return self._from_temp_dataset(ds)\n \ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 52940e98b27..f286236dd45 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -5140,7 +5140,13 @@ def sortby(self, variables, ascending=True):\n return aligned_self.isel(**indices)\n \n def quantile(\n- self, q, dim=None, interpolation=\"linear\", numeric_only=False, keep_attrs=None\n+ self,\n+ q,\n+ dim=None,\n+ interpolation=\"linear\",\n+ numeric_only=False,\n+ keep_attrs=None,\n+ skipna=True,\n ):\n \"\"\"Compute the qth quantile of the data along the specified dimension.\n \n@@ -5171,6 +5177,8 @@ def quantile(\n object will be returned without attributes.\n numeric_only : bool, optional\n If True, only apply ``func`` to variables with a numeric dtype.\n+ skipna : bool, optional\n+ Whether to skip missing values when aggregating.\n \n Returns\n -------\n@@ -5183,7 +5191,7 @@ def quantile(\n \n See Also\n --------\n- numpy.nanquantile, pandas.Series.quantile, DataArray.quantile\n+ numpy.nanquantile, numpy.quantile, pandas.Series.quantile, DataArray.quantile\n \n Examples\n --------\n@@ -5258,6 +5266,7 @@ def quantile(\n dim=reduce_dims,\n interpolation=interpolation,\n keep_attrs=keep_attrs,\n+ skipna=skipna,\n )\n \n else:\ndiff --git a/xarray/core/groupby.py b/xarray/core/groupby.py\nindex f2a9ebac6eb..4223d9dc255 100644\n--- a/xarray/core/groupby.py\n+++ b/xarray/core/groupby.py\n@@ -558,7 +558,9 @@ def fillna(self, value):\n out = ops.fillna(self, value)\n return out\n \n- def quantile(self, q, dim=None, interpolation=\"linear\", keep_attrs=None):\n+ def quantile(\n+ self, q, dim=None, interpolation=\"linear\", keep_attrs=None, skipna=True\n+ ):\n \"\"\"Compute the qth quantile over each array in the groups and\n concatenate them together into a new array.\n \n@@ -582,6 +584,8 @@ def quantile(self, q, dim=None, interpolation=\"linear\", keep_attrs=None):\n * higher: ``j``.\n * nearest: ``i`` or ``j``, whichever is nearest.\n * midpoint: ``(i + j) / 2``.\n+ skipna : bool, optional\n+ Whether to skip missing values when aggregating.\n \n Returns\n -------\n@@ -595,7 +599,7 @@ def quantile(self, q, dim=None, interpolation=\"linear\", keep_attrs=None):\n \n See Also\n --------\n- numpy.nanquantile, pandas.Series.quantile, Dataset.quantile,\n+ numpy.nanquantile, numpy.quantile, pandas.Series.quantile, Dataset.quantile,\n DataArray.quantile\n \n Examples\n@@ -656,6 +660,7 @@ def quantile(self, q, dim=None, interpolation=\"linear\", keep_attrs=None):\n dim=dim,\n interpolation=interpolation,\n keep_attrs=keep_attrs,\n+ skipna=skipna,\n )\n \n return out\ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex 62f9fde6a2e..435edb6f014 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -1678,7 +1678,9 @@ def no_conflicts(self, other, equiv=duck_array_ops.array_notnull_equiv):\n \"\"\"\n return self.broadcast_equals(other, equiv=equiv)\n \n- def quantile(self, q, dim=None, interpolation=\"linear\", keep_attrs=None):\n+ def quantile(\n+ self, q, dim=None, interpolation=\"linear\", keep_attrs=None, skipna=True\n+ ):\n \"\"\"Compute the qth quantile of the data along the specified dimension.\n \n Returns the qth quantiles(s) of the array elements.\n@@ -1725,6 +1727,8 @@ def quantile(self, q, dim=None, interpolation=\"linear\", keep_attrs=None):\n \n from .computation import apply_ufunc\n \n+ _quantile_func = np.nanquantile if skipna else np.quantile\n+\n if keep_attrs is None:\n keep_attrs = _get_keep_attrs(default=False)\n \n@@ -1739,7 +1743,7 @@ def quantile(self, q, dim=None, interpolation=\"linear\", keep_attrs=None):\n \n def _wrapper(npa, **kwargs):\n # move quantile axis to end. required for apply_ufunc\n- return np.moveaxis(np.nanquantile(npa, **kwargs), 0, -1)\n+ return np.moveaxis(_quantile_func(npa, **kwargs), 0, -1)\n \n axis = np.arange(-1, -1 * len(dim) - 1, -1)\n result = apply_ufunc(\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py\nindex b8a9c5edaf9..33f1b403eb8 100644\n--- a/xarray/tests/test_dataarray.py\n+++ b/xarray/tests/test_dataarray.py\n@@ -2368,13 +2368,15 @@ def test_reduce_out(self):\n with pytest.raises(TypeError):\n orig.mean(out=np.ones(orig.shape))\n \n+ @pytest.mark.parametrize(\"skipna\", [True, False])\n @pytest.mark.parametrize(\"q\", [0.25, [0.50], [0.25, 0.75]])\n @pytest.mark.parametrize(\n \"axis, dim\", zip([None, 0, [0], [0, 1]], [None, \"x\", [\"x\"], [\"x\", \"y\"]])\n )\n- def test_quantile(self, q, axis, dim):\n- actual = DataArray(self.va).quantile(q, dim=dim, keep_attrs=True)\n- expected = np.nanpercentile(self.dv.values, np.array(q) * 100, axis=axis)\n+ def test_quantile(self, q, axis, dim, skipna):\n+ actual = DataArray(self.va).quantile(q, dim=dim, keep_attrs=True, skipna=skipna)\n+ _percentile_func = np.nanpercentile if skipna else np.percentile\n+ expected = _percentile_func(self.dv.values, np.array(q) * 100, axis=axis)\n np.testing.assert_allclose(actual.values, expected)\n if is_scalar(q):\n assert \"quantile\" not in actual.dims\ndiff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex 44ffafb23b1..d2e8c6b7609 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -4697,12 +4697,13 @@ def test_reduce_keepdims(self):\n )\n assert_identical(expected, actual)\n \n+ @pytest.mark.parametrize(\"skipna\", [True, False])\n @pytest.mark.parametrize(\"q\", [0.25, [0.50], [0.25, 0.75]])\n- def test_quantile(self, q):\n+ def test_quantile(self, q, skipna):\n ds = create_test_data(seed=123)\n \n for dim in [None, \"dim1\", [\"dim1\"]]:\n- ds_quantile = ds.quantile(q, dim=dim)\n+ ds_quantile = ds.quantile(q, dim=dim, skipna=skipna)\n if is_scalar(q):\n assert \"quantile\" not in ds_quantile.dims\n else:\n@@ -4710,12 +4711,27 @@ def test_quantile(self, q):\n \n for var, dar in ds.data_vars.items():\n assert var in ds_quantile\n- assert_identical(ds_quantile[var], dar.quantile(q, dim=dim))\n+ assert_identical(\n+ ds_quantile[var], dar.quantile(q, dim=dim, skipna=skipna)\n+ )\n dim = [\"dim1\", \"dim2\"]\n- ds_quantile = ds.quantile(q, dim=dim)\n+ ds_quantile = ds.quantile(q, dim=dim, skipna=skipna)\n assert \"dim3\" in ds_quantile.dims\n assert all(d not in ds_quantile.dims for d in dim)\n \n+ @pytest.mark.parametrize(\"skipna\", [True, False])\n+ def test_quantile_skipna(self, skipna):\n+ q = 0.1\n+ dim = \"time\"\n+ ds = Dataset({\"a\": ([dim], np.arange(0, 11))})\n+ ds = ds.where(ds >= 1)\n+\n+ result = ds.quantile(q=q, dim=dim, skipna=skipna)\n+\n+ value = 1.9 if skipna else np.nan\n+ expected = Dataset({\"a\": value}, coords={\"quantile\": q})\n+ assert_identical(result, expected)\n+\n @requires_bottleneck\n def test_rank(self):\n ds = create_test_data(seed=1234)\ndiff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py\nindex c86ecd0121f..c600f7a77d0 100644\n--- a/xarray/tests/test_variable.py\n+++ b/xarray/tests/test_variable.py\n@@ -1511,14 +1511,16 @@ def test_reduce(self):\n with pytest.warns(DeprecationWarning, match=\"allow_lazy is deprecated\"):\n v.mean(dim=\"x\", allow_lazy=False)\n \n+ @pytest.mark.parametrize(\"skipna\", [True, False])\n @pytest.mark.parametrize(\"q\", [0.25, [0.50], [0.25, 0.75]])\n @pytest.mark.parametrize(\n \"axis, dim\", zip([None, 0, [0], [0, 1]], [None, \"x\", [\"x\"], [\"x\", \"y\"]])\n )\n- def test_quantile(self, q, axis, dim):\n+ def test_quantile(self, q, axis, dim, skipna):\n v = Variable([\"x\", \"y\"], self.d)\n- actual = v.quantile(q, dim=dim)\n- expected = np.nanpercentile(self.d, np.array(q) * 100, axis=axis)\n+ actual = v.quantile(q, dim=dim, skipna=skipna)\n+ _percentile_func = np.nanpercentile if skipna else np.percentile\n+ expected = _percentile_func(self.d, np.array(q) * 100, axis=axis)\n np.testing.assert_allclose(actual.values, expected)\n \n @requires_dask\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 24120270444..2c30db99bcd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,7 +45,12 @@ New Features\n By `Julia Signell <https://github.com/jsignell>`_.\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n- By `Maximilian Roos <https://github.com/max-sixty>`_\n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\n+- Implement ``skipna`` in :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile`,\n+ :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n+ (:issue:`3843`, :pull:`3844`) \n+ By `Aaron Spring <https://github.com/aaronspring>`_.\n+\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 24120270444..2c30db99bcd 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -45,7 +45,12 @@ New Features\\n By `Julia Signell <https://github.com/jsignell>`_.\\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\\n first argument, which is then called on the input; replicating pandas' behavior.\\n- By `Maximilian Roos <https://github.com/max-sixty>`_\\n+ By `Maximilian Roos <https://github.com/max-sixty>`_.\\n+- Implement ``skipna`` in :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile`,\\n+ :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\\n+ (:issue:`3843`, :pull:`3844`) \\n+ By `Aaron Spring <https://github.com/aaronspring>`_.\\n+\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0015"},"base_commit":{"kind":"string","value":"9fbb4170c1732fe2f3cd57b2b96d770a5bac50ed"},"PASS2PASS":{"kind":"list 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\"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 24120270444..2c30db99bcd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,7 +45,12 @@ New Features\n By `<NAME>`_.\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n- By `<NAME>`_\n+ By `<NAME>`_.\n+- Implement ``skipna`` in :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile`,\n+ :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n+ (:issue:`<PRID>`, :pull:`<PRID>`) \n+ By `<NAME>`_.\n+\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 24120270444..2c30db99bcd 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -45,7 +45,12 @@ New Features\\n By `<NAME>`_.\\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\\n first argument, which is then called on the input; replicating pandas' behavior.\\n- By `<NAME>`_\\n+ By `<NAME>`_.\\n+- Implement ``skipna`` in :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile`,\\n+ :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\\n+ (:issue:`<PRID>`, :pull:`<PRID>`) \\n+ By `<NAME>`_.\\n+\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 24120270444..2c30db99bcd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,7 +45,12 @@ New Features\n By `<NAME>`_.\n - :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a\n first argument, which is then called on the input; replicating pandas' behavior.\n- By `<NAME>`_\n+ By `<NAME>`_.\n+- Implement ``skipna`` in :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile`,\n+ :py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`\n+ (:issue:`<PRID>`, :pull:`<PRID>`) \n+ By `<NAME>`_.\n+\n \n Bug fixes\n ~~~~~~~~~\n\n"}}},{"rowIdx":598,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3500"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3500"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 884c3cef91c..ed1e79ce3d1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,7 +28,9 @@ New Features\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `Deepak Cherian <https://github.com/dcherian>`_.\n-\n+- Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`\n+ and :py:class:`DataArrayCoarsen` objects. (:pull:`3500`)\n+ By `Deepak Cherian <https://github.com/dcherian/>`_\n \n Bug fixes\n ~~~~~~~~~\ndiff --git a/xarray/core/nanops.py b/xarray/core/nanops.py\nindex 17240faf007..f70e96217e8 100644\n--- a/xarray/core/nanops.py\n+++ b/xarray/core/nanops.py\n@@ -25,7 +25,7 @@ def _maybe_null_out(result, axis, mask, min_count=1):\n \"\"\"\n if hasattr(axis, \"__len__\"): # if tuple or list\n raise ValueError(\n- \"min_count is not available for reduction \" \"with more than one dimensions.\"\n+ \"min_count is not available for reduction with more than one dimensions.\"\n )\n \n if axis is not None and getattr(result, \"ndim\", False):\ndiff --git a/xarray/core/ops.py b/xarray/core/ops.py\nindex 78c4466faed..b789f93b4f1 100644\n--- a/xarray/core/ops.py\n+++ b/xarray/core/ops.py\n@@ -347,13 +347,3 @@ def inject_all_ops_and_reduce_methods(cls, priority=50, array_only=True):\n \n inject_reduce_methods(cls)\n inject_cum_methods(cls)\n-\n-\n-def inject_coarsen_methods(cls):\n- # standard numpy reduce methods\n- methods = [(name, getattr(duck_array_ops, name)) for name in NAN_REDUCE_METHODS]\n- for name, f in methods:\n- func = cls._reduce_method(f)\n- func.__name__ = name\n- func.__doc__ = _COARSEN_REDUCE_DOCSTRING_TEMPLATE.format(name=func.__name__)\n- setattr(cls, name, func)\ndiff --git a/xarray/core/rolling.py b/xarray/core/rolling.py\nindex a1864332f4d..ea6d72b2e03 100644\n--- a/xarray/core/rolling.py\n+++ b/xarray/core/rolling.py\n@@ -1,12 +1,12 @@\n import functools\n import warnings\n-from typing import Callable\n+from typing import Any, Callable, Dict\n \n import numpy as np\n \n from . import dtypes, duck_array_ops, utils\n from .dask_array_ops import dask_rolling_wrapper\n-from .ops import inject_coarsen_methods\n+from .ops import inject_reduce_methods\n from .pycompat import dask_array_type\n \n try:\n@@ -542,6 +542,11 @@ def __init__(self, obj, windows, boundary, side, coord_func):\n self.side = side\n self.boundary = boundary\n \n+ absent_dims = [dim for dim in windows.keys() if dim not in self.obj.dims]\n+ if absent_dims:\n+ raise ValueError(\n+ f\"Dimensions {absent_dims!r} not found in {self.obj.__class__.__name__}.\"\n+ )\n if not utils.is_dict_like(coord_func):\n coord_func = {d: coord_func for d in self.obj.dims}\n for c in self.obj.coords:\n@@ -565,18 +570,23 @@ def __repr__(self):\n class DataArrayCoarsen(Coarsen):\n __slots__ = ()\n \n+ _reduce_extra_args_docstring = \"\"\"\"\"\"\n+\n @classmethod\n- def _reduce_method(cls, func):\n+ def _reduce_method(cls, func: Callable, include_skipna: bool, numeric_only: bool):\n \"\"\"\n- Return a wrapped function for injecting numpy methods.\n- see ops.inject_coarsen_methods\n+ Return a wrapped function for injecting reduction methods.\n+ see ops.inject_reduce_methods\n \"\"\"\n+ kwargs: Dict[str, Any] = {}\n+ if include_skipna:\n+ kwargs[\"skipna\"] = None\n \n def wrapped_func(self, **kwargs):\n from .dataarray import DataArray\n \n reduced = self.obj.variable.coarsen(\n- self.windows, func, self.boundary, self.side\n+ self.windows, func, self.boundary, self.side, **kwargs\n )\n coords = {}\n for c, v in self.obj.coords.items():\n@@ -585,7 +595,11 @@ def wrapped_func(self, **kwargs):\n else:\n if any(d in self.windows for d in v.dims):\n coords[c] = v.variable.coarsen(\n- self.windows, self.coord_func[c], self.boundary, self.side\n+ self.windows,\n+ self.coord_func[c],\n+ self.boundary,\n+ self.side,\n+ **kwargs,\n )\n else:\n coords[c] = v\n@@ -597,12 +611,17 @@ def wrapped_func(self, **kwargs):\n class DatasetCoarsen(Coarsen):\n __slots__ = ()\n \n+ _reduce_extra_args_docstring = \"\"\"\"\"\"\n+\n @classmethod\n- def _reduce_method(cls, func):\n+ def _reduce_method(cls, func: Callable, include_skipna: bool, numeric_only: bool):\n \"\"\"\n- Return a wrapped function for injecting numpy methods.\n- see ops.inject_coarsen_methods\n+ Return a wrapped function for injecting reduction methods.\n+ see ops.inject_reduce_methods\n \"\"\"\n+ kwargs: Dict[str, Any] = {}\n+ if include_skipna:\n+ kwargs[\"skipna\"] = None\n \n def wrapped_func(self, **kwargs):\n from .dataset import Dataset\n@@ -610,14 +629,18 @@ def wrapped_func(self, **kwargs):\n reduced = {}\n for key, da in self.obj.data_vars.items():\n reduced[key] = da.variable.coarsen(\n- self.windows, func, self.boundary, self.side\n+ self.windows, func, self.boundary, self.side, **kwargs\n )\n \n coords = {}\n for c, v in self.obj.coords.items():\n if any(d in self.windows for d in v.dims):\n coords[c] = v.variable.coarsen(\n- self.windows, self.coord_func[c], self.boundary, self.side\n+ self.windows,\n+ self.coord_func[c],\n+ self.boundary,\n+ self.side,\n+ **kwargs,\n )\n else:\n coords[c] = v.variable\n@@ -626,5 +649,5 @@ def wrapped_func(self, **kwargs):\n return wrapped_func\n \n \n-inject_coarsen_methods(DataArrayCoarsen)\n-inject_coarsen_methods(DatasetCoarsen)\n+inject_reduce_methods(DataArrayCoarsen)\n+inject_reduce_methods(DatasetCoarsen)\ndiff --git a/xarray/core/variable.py b/xarray/core/variable.py\nindex 041c303dd3a..773dcef0aa1 100644\n--- a/xarray/core/variable.py\n+++ b/xarray/core/variable.py\n@@ -1864,9 +1864,9 @@ def rolling_window(\n ),\n )\n \n- def coarsen(self, windows, func, boundary=\"exact\", side=\"left\"):\n+ def coarsen(self, windows, func, boundary=\"exact\", side=\"left\", **kwargs):\n \"\"\"\n- Apply\n+ Apply reduction function.\n \"\"\"\n windows = {k: v for k, v in windows.items() if k in self.dims}\n if not windows:\n@@ -1878,11 +1878,11 @@ def coarsen(self, windows, func, boundary=\"exact\", side=\"left\"):\n func = getattr(duck_array_ops, name, None)\n if func is None:\n raise NameError(f\"{name} is not a valid method.\")\n- return type(self)(self.dims, func(reshaped, axis=axes), self._attrs)\n+ return self._replace(data=func(reshaped, axis=axes, **kwargs))\n \n def _coarsen_reshape(self, windows, boundary, side):\n \"\"\"\n- Construct a reshaped-array for corsen\n+ Construct a reshaped-array for coarsen\n \"\"\"\n if not utils.is_dict_like(boundary):\n boundary = {d: boundary for d in windows.keys()}\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py\nindex d8282f58051..7db1911621b 100644\n--- a/xarray/tests/test_dataset.py\n+++ b/xarray/tests/test_dataset.py\n@@ -5497,6 +5497,11 @@ def ds(request):\n )\n \n \n+def test_coarsen_absent_dims_error(ds):\n+ with raises_regex(ValueError, \"not found in Dataset.\"):\n+ ds.coarsen(foo=2)\n+\n+\n @pytest.mark.parametrize(\"dask\", [True, False])\n @pytest.mark.parametrize((\"boundary\", \"side\"), [(\"trim\", \"left\"), (\"pad\", \"right\")])\n def test_coarsen(ds, dask, boundary, side):\n@@ -5505,12 +5510,11 @@ def test_coarsen(ds, dask, boundary, side):\n \n actual = ds.coarsen(time=2, x=3, boundary=boundary, side=side).max()\n assert_equal(\n- actual[\"z1\"], ds[\"z1\"].coarsen(time=2, x=3, boundary=boundary, side=side).max()\n+ actual[\"z1\"], ds[\"z1\"].coarsen(x=3, boundary=boundary, side=side).max()\n )\n # coordinate should be mean by default\n assert_equal(\n- actual[\"time\"],\n- ds[\"time\"].coarsen(time=2, x=3, boundary=boundary, side=side).mean(),\n+ actual[\"time\"], ds[\"time\"].coarsen(time=2, boundary=boundary, side=side).mean()\n )\n \n \n@@ -5521,8 +5525,8 @@ def test_coarsen_coords(ds, dask):\n \n # check if coord_func works\n actual = ds.coarsen(time=2, x=3, boundary=\"trim\", coord_func={\"time\": \"max\"}).max()\n- assert_equal(actual[\"z1\"], ds[\"z1\"].coarsen(time=2, x=3, boundary=\"trim\").max())\n- assert_equal(actual[\"time\"], ds[\"time\"].coarsen(time=2, x=3, boundary=\"trim\").max())\n+ assert_equal(actual[\"z1\"], ds[\"z1\"].coarsen(x=3, boundary=\"trim\").max())\n+ assert_equal(actual[\"time\"], ds[\"time\"].coarsen(time=2, boundary=\"trim\").max())\n \n # raise if exact\n with pytest.raises(ValueError):\ndiff --git a/xarray/tests/test_variable.py b/xarray/tests/test_variable.py\nindex 245dc1acc42..5b5aa1a523f 100644\n--- a/xarray/tests/test_variable.py\n+++ b/xarray/tests/test_variable.py\n@@ -1833,6 +1833,26 @@ def test_coarsen_2d(self):\n expected[1, 1] *= 12 / 11\n assert_allclose(actual, expected)\n \n+ v = self.cls((\"x\", \"y\"), np.arange(4 * 4, dtype=np.float32).reshape(4, 4))\n+ actual = v.coarsen(dict(x=2, y=2), func=\"count\", boundary=\"exact\")\n+ expected = self.cls((\"x\", \"y\"), 4 * np.ones((2, 2)))\n+ assert_equal(actual, expected)\n+\n+ v[0, 0] = np.nan\n+ v[-1, -1] = np.nan\n+ expected[0, 0] = 3\n+ expected[-1, -1] = 3\n+ actual = v.coarsen(dict(x=2, y=2), func=\"count\", boundary=\"exact\")\n+ assert_equal(actual, expected)\n+\n+ actual = v.coarsen(dict(x=2, y=2), func=\"sum\", boundary=\"exact\", skipna=False)\n+ expected = self.cls((\"x\", \"y\"), [[np.nan, 18], [42, np.nan]])\n+ assert_equal(actual, expected)\n+\n+ actual = v.coarsen(dict(x=2, y=2), func=\"sum\", boundary=\"exact\", skipna=True)\n+ expected = self.cls((\"x\", \"y\"), [[10, 18], [42, 35]])\n+ assert_equal(actual, expected)\n+\n \n @requires_dask\n class TestVariableWithDask(VariableSubclassobjects):\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 884c3cef91c..ed1e79ce3d1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,7 +28,9 @@ New Features\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `Deepak Cherian <https://github.com/dcherian>`_.\n-\n+- Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`\n+ and :py:class:`DataArrayCoarsen` objects. (:pull:`3500`)\n+ By `Deepak Cherian <https://github.com/dcherian/>`_\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 884c3cef91c..ed1e79ce3d1 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -28,7 +28,9 @@ New Features\\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\\n now work with dask Variables.\\n By `Deepak Cherian <https://github.com/dcherian>`_.\\n-\\n+- Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`\\n+ and :py:class:`DataArrayCoarsen` objects. (:pull:`3500`)\\n+ By `Deepak Cherian <https://github.com/dcherian/>`_\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"version":{"kind":"string","value":"0015"},"base_commit":{"kind":"string","value":"ed05f9862622b00f40f7b9b99ccdb0ab3766ff0f"},"PASS2PASS":{"kind":"list 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\"xarray/tests/test_dataset.py::test_rolling_reduce[std-2-3-True-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[var-3-3-False-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[var-3-1-False-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[var-1-1-True-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_copy_with_data\",\n \"xarray/tests/test_variable.py::TestVariable::test_shift[2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_repr\",\n \"xarray/tests/test_dataset.py::TestDataset::test_align_non_unique\",\n \"xarray/tests/test_dataset.py::TestDataset::test_dataset_retains_period_index_on_transpose\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-None-False-1]\",\n \"xarray/tests/test_variable.py::TestIndexVariable::test_concat_attrs\",\n \"xarray/tests/test_variable.py::TestVariable::test_quantile[0-x-q2]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[min-3-1-False-1]\",\n \"xarray/tests/test_variable.py::TestVariable::test_getitem_advanced\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-1-True-std]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_reduce_no_axis\",\n \"xarray/tests/test_dataset.py::TestDataset::test_groupby_math\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[var-2-2-False-2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_copy_with_data_errors\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[mean-1-3-True-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_getitem\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[median-4-1-False-2]\",\n \"xarray/tests/test_variable.py::TestIndexVariable::test_eq_all_dtypes\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-True-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[var-3-2-True-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[sum-2-1-True-2]\",\n \"xarray/tests/test_dataset.py::test_dataset_constructor_aligns_to_explicit_coords[coords1-unaligned_coords8]\",\n \"xarray/tests/test_variable.py::TestVariable::test_repr\",\n \"xarray/tests/test_dataset.py::TestDataset::test_coords_merge_mismatched_shape\",\n \"xarray/tests/test_dataset.py::TestDataset::test_virtual_variables_time\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[sum-3-3-False-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[std-2-None-True-2]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_coords_set\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[var-1-3-False-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-True-1]\",\n \"xarray/tests/test_dataset.py::test_dir_unicode[None]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_broadcast_like\",\n \"xarray/tests/test_dataset.py::test_rolling_construct[4-True]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-1-True-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-True-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[median-4-None-True-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_pandas_compat[3-3-False]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_groupby\",\n \"xarray/tests/test_dataset.py::test_coarsen[1-pad-right-False]\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-1-True-mean]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_resample_and_first\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-1-None-sum]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[median-4-None-True-1]\",\n \"xarray/tests/test_variable.py::TestBackendIndexing::test_NumpyIndexingAdapter\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[max-2-None-False-2]\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-1-False-std]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_coords_to_dataset\",\n \"xarray/tests/test_dataset.py::TestDataset::test_isel_dataarray\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[median-4-3-True-1]\",\n \"xarray/tests/test_dataset.py::TestDataset::test_binary_op_propagate_indexes\",\n \"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-None-True-std]\",\n \"xarray/tests/test_dataset.py::test_rolling_reduce[min-1-None-True-1]\",\n \"xarray/tests/test_dataset.py::test_rolling_construct[1-True]\"\n]","isConversational":false},"FAIL2PASS":{"kind":"list like","value":["xarray/tests/test_dataset.py::test_coarsen_absent_dims_error[1]","xarray/tests/test_variable.py::TestVariable::test_coarsen_2d"],"string":"[\n \"xarray/tests/test_dataset.py::test_coarsen_absent_dims_error[1]\",\n \"xarray/tests/test_variable.py::TestVariable::test_coarsen_2d\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": []\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 884c3cef91c..ed1e79ce3d1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,7 +28,9 @@ New Features\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `<NAME>`_.\n-\n+- Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`\n+ and :py:class:`DataArrayCoarsen` objects. (:pull:`<PRID>`)\n+ By `<NAME>`_\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex 884c3cef91c..ed1e79ce3d1 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -28,7 +28,9 @@ New Features\\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\\n now work with dask Variables.\\n By `<NAME>`_.\\n-\\n+- Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`\\n+ and :py:class:`DataArrayCoarsen` objects. (:pull:`<PRID>`)\\n+ By `<NAME>`_\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 884c3cef91c..ed1e79ce3d1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,7 +28,9 @@ New Features\n - :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``\n now work with dask Variables.\n By `<NAME>`_.\n-\n+- Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`\n+ and :py:class:`DataArrayCoarsen` objects. (:pull:`<PRID>`)\n+ By `<NAME>`_\n \n Bug fixes\n ~~~~~~~~~\n\n"}}},{"rowIdx":599,"cells":{"repo":{"kind":"string","value":"pydata/xarray"},"instance_id":{"kind":"string","value":"pydata__xarray-3631"},"html_url":{"kind":"string","value":"https://github.com/pydata/xarray/pull/3631"},"feature_patch":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex fef1b988f01..26b42a1df21 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,8 +23,8 @@ Breaking changes\n ~~~~~~~~~~~~~~~~\n \n - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which\n- have been deprecated since 0.12. (:pull:`3650`). \n- Instead, specify the encoding when writing to disk or set \n+ have been deprecated since 0.12. (:pull:`3650`).\n+ Instead, specify the encoding when writing to disk or set\n the ``encoding`` attribute directly.\n By `Maximilian Roos <https://github.com/max-sixty>`_\n \n@@ -48,10 +48,15 @@ New Features\n - :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims`\n now allow swapping to dimension names that don't exist yet. (:pull:`3636`)\n By `Justus Magin <https://github.com/keewis>`_.\n-- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties \n- and support `.dt` accessor for timedelta \n+- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties\n+ and support `.dt` accessor for timedelta\n via :py:class:`core.accessor_dt.TimedeltaAccessor` (:pull:`3612`)\n By `Anderson Banihirwe <https://github.com/andersy005>`_.\n+- Support CFTimeIndex in :py:meth:`DataArray.interpolate_na`, define 1970-01-01\n+ as the default offset for the interpolation index for both DatetimeIndex and\n+ CFTimeIndex, use microseconds in the conversion from timedelta objects\n+ to floats to avoid overflow errors (:issue:`3641`, :pull:`3631`).\n+ By David Huard `<https://github.com/huard>`_.\n \n Bug fixes\n ~~~~~~~~~\ndiff --git a/xarray/coding/cftimeindex.py b/xarray/coding/cftimeindex.py\nindex 4005d4fbf6d..8b440812ca9 100644\n--- a/xarray/coding/cftimeindex.py\n+++ b/xarray/coding/cftimeindex.py\n@@ -430,7 +430,14 @@ def __sub__(self, other):\n import cftime\n \n if isinstance(other, (CFTimeIndex, cftime.datetime)):\n- return pd.TimedeltaIndex(np.array(self) - np.array(other))\n+ try:\n+ return pd.TimedeltaIndex(np.array(self) - np.array(other))\n+ except OverflowError:\n+ raise ValueError(\n+ \"The time difference exceeds the range of values \"\n+ \"that can be expressed at the nanosecond resolution.\"\n+ )\n+\n elif isinstance(other, pd.TimedeltaIndex):\n return CFTimeIndex(np.array(self) - other.to_pytimedelta())\n else:\ndiff --git a/xarray/core/dataarray.py b/xarray/core/dataarray.py\nindex 0e67a791834..b65afc59892 100644\n--- a/xarray/core/dataarray.py\n+++ b/xarray/core/dataarray.py\n@@ -18,6 +18,7 @@\n cast,\n )\n \n+import datetime\n import numpy as np\n import pandas as pd\n \n@@ -2041,7 +2042,9 @@ def interpolate_na(\n method: str = \"linear\",\n limit: int = None,\n use_coordinate: Union[bool, str] = True,\n- max_gap: Union[int, float, str, pd.Timedelta, np.timedelta64] = None,\n+ max_gap: Union[\n+ int, float, str, pd.Timedelta, np.timedelta64, datetime.timedelta\n+ ] = None,\n **kwargs: Any,\n ) -> \"DataArray\":\n \"\"\"Fill in NaNs by interpolating according to different methods.\n@@ -2073,7 +2076,7 @@ def interpolate_na(\n or None for no limit. This filling is done regardless of the size of\n the gap in the data. To only interpolate over gaps less than a given length,\n see ``max_gap``.\n- max_gap: int, float, str, pandas.Timedelta, numpy.timedelta64, default None.\n+ max_gap: int, float, str, pandas.Timedelta, numpy.timedelta64, datetime.timedelta, default None.\n Maximum size of gap, a continuous sequence of NaNs, that will be filled.\n Use None for no limit. When interpolating along a datetime64 dimension\n and ``use_coordinate=True``, ``max_gap`` can be one of the following:\n@@ -2081,6 +2084,7 @@ def interpolate_na(\n - a string that is valid input for pandas.to_timedelta\n - a :py:class:`numpy.timedelta64` object\n - a :py:class:`pandas.Timedelta` object\n+ - a :py:class:`datetime.timedelta` object\n \n Otherwise, ``max_gap`` must be an int or a float. Use of ``max_gap`` with unlabeled\n dimensions has not been implemented yet. Gap length is defined as the difference\ndiff --git a/xarray/core/dataset.py b/xarray/core/dataset.py\nindex 82ddc8a535f..033d227171e 100644\n--- a/xarray/core/dataset.py\n+++ b/xarray/core/dataset.py\n@@ -27,6 +27,7 @@\n cast,\n )\n \n+import datetime\n import numpy as np\n import pandas as pd\n \n@@ -3994,7 +3995,9 @@ def interpolate_na(\n method: str = \"linear\",\n limit: int = None,\n use_coordinate: Union[bool, Hashable] = True,\n- max_gap: Union[int, float, str, pd.Timedelta, np.timedelta64] = None,\n+ max_gap: Union[\n+ int, float, str, pd.Timedelta, np.timedelta64, datetime.timedelta\n+ ] = None,\n **kwargs: Any,\n ) -> \"Dataset\":\n \"\"\"Fill in NaNs by interpolating according to different methods.\n@@ -4027,7 +4030,7 @@ def interpolate_na(\n or None for no limit. This filling is done regardless of the size of\n the gap in the data. To only interpolate over gaps less than a given length,\n see ``max_gap``.\n- max_gap: int, float, str, pandas.Timedelta, numpy.timedelta64, default None.\n+ max_gap: int, float, str, pandas.Timedelta, numpy.timedelta64, datetime.timedelta, default None.\n Maximum size of gap, a continuous sequence of NaNs, that will be filled.\n Use None for no limit. When interpolating along a datetime64 dimension\n and ``use_coordinate=True``, ``max_gap`` can be one of the following:\n@@ -4035,6 +4038,7 @@ def interpolate_na(\n - a string that is valid input for pandas.to_timedelta\n - a :py:class:`numpy.timedelta64` object\n - a :py:class:`pandas.Timedelta` object\n+ - a :py:class:`datetime.timedelta` object\n \n Otherwise, ``max_gap`` must be an int or a float. Use of ``max_gap`` with unlabeled\n dimensions has not been implemented yet. Gap length is defined as the difference\ndiff --git a/xarray/core/duck_array_ops.py b/xarray/core/duck_array_ops.py\nindex 3fa97f0b448..c2fe604a9d3 100644\n--- a/xarray/core/duck_array_ops.py\n+++ b/xarray/core/duck_array_ops.py\n@@ -372,44 +372,100 @@ def _datetime_nanmin(array):\n \n \n def datetime_to_numeric(array, offset=None, datetime_unit=None, dtype=float):\n- \"\"\"Convert an array containing datetime-like data to an array of floats.\n+ \"\"\"Convert an array containing datetime-like data to numerical values.\n+\n+ Convert the datetime array to a timedelta relative to an offset.\n \n Parameters\n ----------\n- da : np.array\n- Input data\n- offset: Scalar with the same type of array or None\n- If None, subtract minimum values to reduce round off error\n- datetime_unit: None or any of {'Y', 'M', 'W', 'D', 'h', 'm', 's', 'ms',\n- 'us', 'ns', 'ps', 'fs', 'as'}\n- dtype: target dtype\n+ da : array-like\n+ Input data\n+ offset: None, datetime or cftime.datetime\n+ Datetime offset. If None, this is set by default to the array's minimum\n+ value to reduce round off errors.\n+ datetime_unit: {None, Y, M, W, D, h, m, s, ms, us, ns, ps, fs, as}\n+ If not None, convert output to a given datetime unit. Note that some\n+ conversions are not allowed due to non-linear relationships between units.\n+ dtype: dtype\n+ Output dtype.\n \n Returns\n -------\n array\n+ Numerical representation of datetime object relative to an offset.\n+\n+ Notes\n+ -----\n+ Some datetime unit conversions won't work, for example from days to years, even\n+ though some calendars would allow for them (e.g. no_leap). This is because there\n+ is no `cftime.timedelta` object.\n \"\"\"\n # TODO: make this function dask-compatible?\n+ # Set offset to minimum if not given\n if offset is None:\n if array.dtype.kind in \"Mm\":\n offset = _datetime_nanmin(array)\n else:\n offset = min(array)\n+\n+ # Compute timedelta object.\n+ # For np.datetime64, this can silently yield garbage due to overflow.\n+ # One option is to enforce 1970-01-01 as the universal offset.\n array = array - offset\n \n- if not hasattr(array, \"dtype\"): # scalar is converted to 0d-array\n+ # Scalar is converted to 0d-array\n+ if not hasattr(array, \"dtype\"):\n array = np.array(array)\n \n+ # Convert timedelta objects to float by first converting to microseconds.\n if array.dtype.kind in \"O\":\n- # possibly convert object array containing datetime.timedelta\n- array = np.asarray(pd.Series(array.ravel())).reshape(array.shape)\n+ return py_timedelta_to_float(array, datetime_unit or \"ns\").astype(dtype)\n \n- if datetime_unit:\n- array = array / np.timedelta64(1, datetime_unit)\n+ # Convert np.NaT to np.nan\n+ elif array.dtype.kind in \"mM\":\n \n- # convert np.NaT to np.nan\n- if array.dtype.kind in \"mM\":\n+ # Convert to specified timedelta units.\n+ if datetime_unit:\n+ array = array / np.timedelta64(1, datetime_unit)\n return np.where(isnull(array), np.nan, array.astype(dtype))\n- return array.astype(dtype)\n+\n+\n+def timedelta_to_numeric(value, datetime_unit=\"ns\", dtype=float):\n+ \"\"\"Convert a timedelta-like object to numerical values.\n+\n+ Parameters\n+ ----------\n+ value : datetime.timedelta, numpy.timedelta64, pandas.Timedelta, str\n+ Time delta representation.\n+ datetime_unit : {Y, M, W, D, h, m, s, ms, us, ns, ps, fs, as}\n+ The time units of the output values. Note that some conversions are not allowed due to\n+ non-linear relationships between units.\n+ dtype : type\n+ The output data type.\n+\n+ \"\"\"\n+ import datetime as dt\n+\n+ if isinstance(value, dt.timedelta):\n+ out = py_timedelta_to_float(value, datetime_unit)\n+ elif isinstance(value, np.timedelta64):\n+ out = np_timedelta64_to_float(value, datetime_unit)\n+ elif isinstance(value, pd.Timedelta):\n+ out = pd_timedelta_to_float(value, datetime_unit)\n+ elif isinstance(value, str):\n+ try:\n+ a = pd.to_timedelta(value)\n+ except ValueError:\n+ raise ValueError(\n+ f\"Could not convert {value!r} to timedelta64 using pandas.to_timedelta\"\n+ )\n+ return py_timedelta_to_float(a, datetime_unit)\n+ else:\n+ raise TypeError(\n+ f\"Expected value of type str, pandas.Timedelta, datetime.timedelta \"\n+ f\"or numpy.timedelta64, but received {type(value).__name__}\"\n+ )\n+ return out.astype(dtype)\n \n \n def _to_pytimedelta(array, unit=\"us\"):\n@@ -417,6 +473,40 @@ def _to_pytimedelta(array, unit=\"us\"):\n return index.to_pytimedelta().reshape(array.shape)\n \n \n+def np_timedelta64_to_float(array, datetime_unit):\n+ \"\"\"Convert numpy.timedelta64 to float.\n+\n+ Notes\n+ -----\n+ The array is first converted to microseconds, which is less likely to\n+ cause overflow errors.\n+ \"\"\"\n+ array = array.astype(\"timedelta64[ns]\").astype(np.float64)\n+ conversion_factor = np.timedelta64(1, \"ns\") / np.timedelta64(1, datetime_unit)\n+ return conversion_factor * array\n+\n+\n+def pd_timedelta_to_float(value, datetime_unit):\n+ \"\"\"Convert pandas.Timedelta to float.\n+\n+ Notes\n+ -----\n+ Built on the assumption that pandas timedelta values are in nanoseconds,\n+ which is also the numpy default resolution.\n+ \"\"\"\n+ value = value.to_timedelta64()\n+ return np_timedelta64_to_float(value, datetime_unit)\n+\n+\n+def py_timedelta_to_float(array, datetime_unit):\n+ \"\"\"Convert a timedelta object to a float, possibly at a loss of resolution.\n+ \"\"\"\n+ array = np.asarray(array)\n+ array = np.reshape([a.total_seconds() for a in array.ravel()], array.shape) * 1e6\n+ conversion_factor = np.timedelta64(1, \"us\") / np.timedelta64(1, datetime_unit)\n+ return conversion_factor * array\n+\n+\n def mean(array, axis=None, skipna=None, **kwargs):\n \"\"\"inhouse mean that can handle np.datetime64 or cftime.datetime\n dtypes\"\"\"\ndiff --git a/xarray/core/missing.py b/xarray/core/missing.py\nindex 117fcaf8f81..b20441e993c 100644\n--- a/xarray/core/missing.py\n+++ b/xarray/core/missing.py\n@@ -2,6 +2,7 @@\n from functools import partial\n from numbers import Number\n from typing import Any, Callable, Dict, Hashable, Sequence, Union\n+import datetime as dt\n \n import numpy as np\n import pandas as pd\n@@ -9,7 +10,7 @@\n from . import utils\n from .common import _contains_datetime_like_objects, ones_like\n from .computation import apply_ufunc\n-from .duck_array_ops import dask_array_type\n+from .duck_array_ops import dask_array_type, datetime_to_numeric, timedelta_to_numeric\n from .utils import OrderedSet, is_scalar\n from .variable import Variable, broadcast_variables\n \n@@ -207,52 +208,81 @@ def _apply_over_vars_with_dim(func, self, dim=None, **kwargs):\n \n \n def get_clean_interp_index(arr, dim: Hashable, use_coordinate: Union[str, bool] = True):\n- \"\"\"get index to use for x values in interpolation.\n+ \"\"\"Return index to use for x values in interpolation or curve fitting.\n \n- If use_coordinate is True, the coordinate that shares the name of the\n- dimension along which interpolation is being performed will be used as the\n- x values.\n+ Parameters\n+ ----------\n+ arr : DataArray\n+ Array to interpolate or fit to a curve.\n+ dim : str\n+ Name of dimension along which to fit.\n+ use_coordinate : str or bool\n+ If use_coordinate is True, the coordinate that shares the name of the\n+ dimension along which interpolation is being performed will be used as the\n+ x values. If False, the x values are set as an equally spaced sequence.\n+\n+ Returns\n+ -------\n+ Variable\n+ Numerical values for the x-coordinates.\n \n- If use_coordinate is False, the x values are set as an equally spaced\n- sequence.\n+ Notes\n+ -----\n+ If indexing is along the time dimension, datetime coordinates are converted\n+ to time deltas with respect to 1970-01-01.\n \"\"\"\n- if use_coordinate:\n- if use_coordinate is True:\n- index = arr.get_index(dim)\n- else:\n- index = arr.coords[use_coordinate]\n- if index.ndim != 1:\n- raise ValueError(\n- f\"Coordinates used for interpolation must be 1D, \"\n- f\"{use_coordinate} is {index.ndim}D.\"\n- )\n- index = index.to_index()\n-\n- # TODO: index.name is None for multiindexes\n- # set name for nice error messages below\n- if isinstance(index, pd.MultiIndex):\n- index.name = dim\n-\n- if not index.is_monotonic:\n- raise ValueError(f\"Index {index.name!r} must be monotonically increasing\")\n-\n- if not index.is_unique:\n- raise ValueError(f\"Index {index.name!r} has duplicate values\")\n-\n- # raise if index cannot be cast to a float (e.g. MultiIndex)\n- try:\n- index = index.values.astype(np.float64)\n- except (TypeError, ValueError):\n- # pandas raises a TypeError\n- # xarray/numpy raise a ValueError\n- raise TypeError(\n- f\"Index {index.name!r} must be castable to float64 to support \"\n- f\"interpolation, got {type(index).__name__}.\"\n- )\n \n- else:\n+ # Question: If use_coordinate is a string, what role does `dim` play?\n+ from xarray.coding.cftimeindex import CFTimeIndex\n+\n+ if use_coordinate is False:\n axis = arr.get_axis_num(dim)\n- index = np.arange(arr.shape[axis], dtype=np.float64)\n+ return np.arange(arr.shape[axis], dtype=np.float64)\n+\n+ if use_coordinate is True:\n+ index = arr.get_index(dim)\n+\n+ else: # string\n+ index = arr.coords[use_coordinate]\n+ if index.ndim != 1:\n+ raise ValueError(\n+ f\"Coordinates used for interpolation must be 1D, \"\n+ f\"{use_coordinate} is {index.ndim}D.\"\n+ )\n+ index = index.to_index()\n+\n+ # TODO: index.name is None for multiindexes\n+ # set name for nice error messages below\n+ if isinstance(index, pd.MultiIndex):\n+ index.name = dim\n+\n+ if not index.is_monotonic:\n+ raise ValueError(f\"Index {index.name!r} must be monotonically increasing\")\n+\n+ if not index.is_unique:\n+ raise ValueError(f\"Index {index.name!r} has duplicate values\")\n+\n+ # Special case for non-standard calendar indexes\n+ # Numerical datetime values are defined with respect to 1970-01-01T00:00:00 in units of nanoseconds\n+ if isinstance(index, (CFTimeIndex, pd.DatetimeIndex)):\n+ offset = type(index[0])(1970, 1, 1)\n+ if isinstance(index, CFTimeIndex):\n+ index = index.values\n+ index = Variable(\n+ data=datetime_to_numeric(index, offset=offset, datetime_unit=\"ns\"),\n+ dims=(dim,),\n+ )\n+\n+ # raise if index cannot be cast to a float (e.g. MultiIndex)\n+ try:\n+ index = index.values.astype(np.float64)\n+ except (TypeError, ValueError):\n+ # pandas raises a TypeError\n+ # xarray/numpy raise a ValueError\n+ raise TypeError(\n+ f\"Index {index.name!r} must be castable to float64 to support \"\n+ f\"interpolation, got {type(index).__name__}.\"\n+ )\n \n return index\n \n@@ -263,11 +293,13 @@ def interp_na(\n use_coordinate: Union[bool, str] = True,\n method: str = \"linear\",\n limit: int = None,\n- max_gap: Union[int, float, str, pd.Timedelta, np.timedelta64] = None,\n+ max_gap: Union[int, float, str, pd.Timedelta, np.timedelta64, dt.timedelta] = None,\n **kwargs,\n ):\n \"\"\"Interpolate values according to different methods.\n \"\"\"\n+ from xarray.coding.cftimeindex import CFTimeIndex\n+\n if dim is None:\n raise NotImplementedError(\"dim is a required argument\")\n \n@@ -281,26 +313,11 @@ def interp_na(\n \n if (\n dim in self.indexes\n- and isinstance(self.indexes[dim], pd.DatetimeIndex)\n+ and isinstance(self.indexes[dim], (pd.DatetimeIndex, CFTimeIndex))\n and use_coordinate\n ):\n- if not isinstance(max_gap, (np.timedelta64, pd.Timedelta, str)):\n- raise TypeError(\n- f\"Underlying index is DatetimeIndex. Expected max_gap of type str, pandas.Timedelta or numpy.timedelta64 but received {max_type}\"\n- )\n-\n- if isinstance(max_gap, str):\n- try:\n- max_gap = pd.to_timedelta(max_gap)\n- except ValueError:\n- raise ValueError(\n- f\"Could not convert {max_gap!r} to timedelta64 using pandas.to_timedelta\"\n- )\n-\n- if isinstance(max_gap, pd.Timedelta):\n- max_gap = np.timedelta64(max_gap.value, \"ns\")\n-\n- max_gap = np.timedelta64(max_gap, \"ns\").astype(np.float64)\n+ # Convert to float\n+ max_gap = timedelta_to_numeric(max_gap)\n \n if not use_coordinate:\n if not isinstance(max_gap, (Number, np.number)):\n"},"test_patch":{"kind":"string","value":"diff --git a/xarray/tests/test_duck_array_ops.py b/xarray/tests/test_duck_array_ops.py\nindex aee7bbd6b11..96c883baa67 100644\n--- a/xarray/tests/test_duck_array_ops.py\n+++ b/xarray/tests/test_duck_array_ops.py\n@@ -1,6 +1,7 @@\n import warnings\n from textwrap import dedent\n \n+import datetime as dt\n import numpy as np\n import pandas as pd\n import pytest\n@@ -19,6 +20,10 @@\n rolling_window,\n stack,\n where,\n+ py_timedelta_to_float,\n+ np_timedelta64_to_float,\n+ pd_timedelta_to_float,\n+ timedelta_to_numeric,\n )\n from xarray.core.pycompat import dask_array_type\n from xarray.testing import assert_allclose, assert_equal\n@@ -672,13 +677,15 @@ def test_datetime_to_numeric_datetime64():\n \n @requires_cftime\n def test_datetime_to_numeric_cftime():\n- times = cftime_range(\"2000\", periods=5, freq=\"7D\").values\n- result = duck_array_ops.datetime_to_numeric(times, datetime_unit=\"h\")\n+ times = cftime_range(\"2000\", periods=5, freq=\"7D\", calendar=\"standard\").values\n+ result = duck_array_ops.datetime_to_numeric(times, datetime_unit=\"h\", dtype=int)\n expected = 24 * np.arange(0, 35, 7)\n np.testing.assert_array_equal(result, expected)\n \n offset = times[1]\n- result = duck_array_ops.datetime_to_numeric(times, offset=offset, datetime_unit=\"h\")\n+ result = duck_array_ops.datetime_to_numeric(\n+ times, offset=offset, datetime_unit=\"h\", dtype=int\n+ )\n expected = 24 * np.arange(-7, 28, 7)\n np.testing.assert_array_equal(result, expected)\n \n@@ -686,3 +693,70 @@ def test_datetime_to_numeric_cftime():\n result = duck_array_ops.datetime_to_numeric(times, datetime_unit=\"h\", dtype=dtype)\n expected = 24 * np.arange(0, 35, 7).astype(dtype)\n np.testing.assert_array_equal(result, expected)\n+\n+\n+@requires_cftime\n+def test_datetime_to_numeric_potential_overflow():\n+ import cftime\n+\n+ times = pd.date_range(\"2000\", periods=5, freq=\"7D\").values.astype(\"datetime64[us]\")\n+ cftimes = cftime_range(\n+ \"2000\", periods=5, freq=\"7D\", calendar=\"proleptic_gregorian\"\n+ ).values\n+\n+ offset = np.datetime64(\"0001-01-01\")\n+ cfoffset = cftime.DatetimeProlepticGregorian(1, 1, 1)\n+\n+ result = duck_array_ops.datetime_to_numeric(\n+ times, offset=offset, datetime_unit=\"D\", dtype=int\n+ )\n+ cfresult = duck_array_ops.datetime_to_numeric(\n+ cftimes, offset=cfoffset, datetime_unit=\"D\", dtype=int\n+ )\n+\n+ expected = 730119 + np.arange(0, 35, 7)\n+\n+ np.testing.assert_array_equal(result, expected)\n+ np.testing.assert_array_equal(cfresult, expected)\n+\n+\n+def test_py_timedelta_to_float():\n+ assert py_timedelta_to_float(dt.timedelta(days=1), \"ns\") == 86400 * 1e9\n+ assert py_timedelta_to_float(dt.timedelta(days=1e6), \"ps\") == 86400 * 1e18\n+ assert py_timedelta_to_float(dt.timedelta(days=1e6), \"ns\") == 86400 * 1e15\n+ assert py_timedelta_to_float(dt.timedelta(days=1e6), \"us\") == 86400 * 1e12\n+ assert py_timedelta_to_float(dt.timedelta(days=1e6), \"ms\") == 86400 * 1e9\n+ assert py_timedelta_to_float(dt.timedelta(days=1e6), \"s\") == 86400 * 1e6\n+ assert py_timedelta_to_float(dt.timedelta(days=1e6), \"D\") == 1e6\n+\n+\n+@pytest.mark.parametrize(\n+ \"td, expected\",\n+ ([np.timedelta64(1, \"D\"), 86400 * 1e9], [np.timedelta64(1, \"ns\"), 1.0]),\n+)\n+def test_np_timedelta64_to_float(td, expected):\n+ out = np_timedelta64_to_float(td, datetime_unit=\"ns\")\n+ np.testing.assert_allclose(out, expected)\n+ assert isinstance(out, float)\n+\n+ out = np_timedelta64_to_float(np.atleast_1d(td), datetime_unit=\"ns\")\n+ np.testing.assert_allclose(out, expected)\n+\n+\n+@pytest.mark.parametrize(\n+ \"td, expected\", ([pd.Timedelta(1, \"D\"), 86400 * 1e9], [pd.Timedelta(1, \"ns\"), 1.0])\n+)\n+def test_pd_timedelta_to_float(td, expected):\n+ out = pd_timedelta_to_float(td, datetime_unit=\"ns\")\n+ np.testing.assert_allclose(out, expected)\n+ assert isinstance(out, float)\n+\n+\n+@pytest.mark.parametrize(\n+ \"td\", [dt.timedelta(days=1), np.timedelta64(1, \"D\"), pd.Timedelta(1, \"D\"), \"1 day\"],\n+)\n+def test_timedelta_to_numeric(td):\n+ # Scalar input\n+ out = timedelta_to_numeric(td, \"ns\")\n+ np.testing.assert_allclose(out, 86400 * 1e9)\n+ assert isinstance(out, float)\ndiff --git a/xarray/tests/test_interp.py b/xarray/tests/test_interp.py\nindex b93325d7eab..e3af8b5873a 100644\n--- a/xarray/tests/test_interp.py\n+++ b/xarray/tests/test_interp.py\n@@ -662,3 +662,10 @@ def test_datetime_interp_noerror():\n coords={\"time\": pd.date_range(\"01-01-2001\", periods=50, freq=\"H\")},\n )\n a.interp(x=xi, time=xi.time) # should not raise an error\n+\n+\n+@requires_cftime\n+def test_3641():\n+ times = xr.cftime_range(\"0001\", periods=3, freq=\"500Y\")\n+ da = xr.DataArray(range(3), dims=[\"time\"], coords=[times])\n+ da.interp(time=[\"0002-05-01\"])\ndiff --git a/xarray/tests/test_missing.py b/xarray/tests/test_missing.py\nindex 1cd0319a9a5..8d70d9a0fcc 100644\n--- a/xarray/tests/test_missing.py\n+++ b/xarray/tests/test_missing.py\n@@ -16,18 +16,34 @@\n from xarray.tests import (\n assert_array_equal,\n assert_equal,\n+ assert_allclose,\n raises_regex,\n requires_bottleneck,\n requires_dask,\n requires_scipy,\n+ requires_cftime,\n )\n \n+from xarray.tests.test_cftime_offsets import _CFTIME_CALENDARS\n+\n \n @pytest.fixture\n def da():\n return xr.DataArray([0, np.nan, 1, 2, np.nan, 3, 4, 5, np.nan, 6, 7], dims=\"time\")\n \n \n+@pytest.fixture\n+def cf_da():\n+ def _cf_da(calendar, freq=\"1D\"):\n+ times = xr.cftime_range(\n+ start=\"1970-01-01\", freq=freq, periods=10, calendar=calendar\n+ )\n+ values = np.arange(10)\n+ return xr.DataArray(values, dims=(\"time\",), coords={\"time\": times})\n+\n+ return _cf_da\n+\n+\n @pytest.fixture\n def ds():\n ds = xr.Dataset()\n@@ -472,6 +488,42 @@ def test_interpolate_na_nan_block_lengths(y, lengths):\n assert_equal(actual, expected)\n \n \n+@requires_cftime\n+@pytest.mark.parametrize(\"calendar\", _CFTIME_CALENDARS)\n+def test_get_clean_interp_index_cf_calendar(cf_da, calendar):\n+ \"\"\"The index for CFTimeIndex is in units of days. This means that if two series using a 360 and 365 days\n+ calendar each have a trend of .01C/year, the linear regression coefficients will be different because they\n+ have different number of days.\n+\n+ Another option would be to have an index in units of years, but this would likely create other difficulties.\n+ \"\"\"\n+ i = get_clean_interp_index(cf_da(calendar), dim=\"time\")\n+ np.testing.assert_array_equal(i, np.arange(10) * 1e9 * 86400)\n+\n+\n+@requires_cftime\n+@pytest.mark.parametrize(\n+ (\"calendar\", \"freq\"), zip([\"gregorian\", \"proleptic_gregorian\"], [\"1D\", \"1M\", \"1Y\"])\n+)\n+def test_get_clean_interp_index_dt(cf_da, calendar, freq):\n+ \"\"\"In the gregorian case, the index should be proportional to normal datetimes.\"\"\"\n+ g = cf_da(calendar, freq=freq)\n+ g[\"stime\"] = xr.Variable(data=g.time.to_index().to_datetimeindex(), dims=(\"time\",))\n+\n+ gi = get_clean_interp_index(g, \"time\")\n+ si = get_clean_interp_index(g, \"time\", use_coordinate=\"stime\")\n+ np.testing.assert_array_equal(gi, si)\n+\n+\n+def test_get_clean_interp_index_potential_overflow():\n+ da = xr.DataArray(\n+ [0, 1, 2],\n+ dims=(\"time\",),\n+ coords={\"time\": xr.cftime_range(\"0000-01-01\", periods=3, calendar=\"360_day\")},\n+ )\n+ get_clean_interp_index(da, \"time\")\n+\n+\n @pytest.fixture\n def da_time():\n return xr.DataArray(\n@@ -490,7 +542,7 @@ def test_interpolate_na_max_gap_errors(da_time):\n da_time.interpolate_na(\"t\", max_gap=(1,))\n \n da_time[\"t\"] = pd.date_range(\"2001-01-01\", freq=\"H\", periods=11)\n- with raises_regex(TypeError, \"Underlying index is\"):\n+ with raises_regex(TypeError, \"Expected value of type str\"):\n da_time.interpolate_na(\"t\", max_gap=1)\n \n with raises_regex(TypeError, \"Expected integer or floating point\"):\n@@ -501,10 +553,7 @@ def test_interpolate_na_max_gap_errors(da_time):\n \n \n @requires_bottleneck\n-@pytest.mark.parametrize(\n- \"time_range_func\",\n- [pd.date_range, pytest.param(xr.cftime_range, marks=pytest.mark.xfail)],\n-)\n+@pytest.mark.parametrize(\"time_range_func\", [pd.date_range, xr.cftime_range])\n @pytest.mark.parametrize(\"transform\", [lambda x: x, lambda x: x.to_dataset(name=\"a\")])\n @pytest.mark.parametrize(\n \"max_gap\", [\"3H\", np.timedelta64(3, \"h\"), pd.to_timedelta(\"3H\")]\n@@ -517,7 +566,7 @@ def test_interpolate_na_max_gap_time_specifier(\n da_time.copy(data=[np.nan, 1, 2, 3, 4, 5, np.nan, np.nan, np.nan, np.nan, 10])\n )\n actual = transform(da_time).interpolate_na(\"t\", max_gap=max_gap)\n- assert_equal(actual, expected)\n+ assert_allclose(actual, expected)\n \n \n @requires_bottleneck\n"},"doc_changes":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex fef1b988f01..26b42a1df21 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,8 +23,8 @@ Breaking changes\n ~~~~~~~~~~~~~~~~\n \n - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which\n- have been deprecated since 0.12. (:pull:`3650`). \n- Instead, specify the encoding when writing to disk or set \n+ have been deprecated since 0.12. (:pull:`3650`).\n+ Instead, specify the encoding when writing to disk or set\n the ``encoding`` attribute directly.\n By `Maximilian Roos <https://github.com/max-sixty>`_\n \n@@ -48,10 +48,15 @@ New Features\n - :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims`\n now allow swapping to dimension names that don't exist yet. (:pull:`3636`)\n By `Justus Magin <https://github.com/keewis>`_.\n-- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties \n- and support `.dt` accessor for timedelta \n+- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties\n+ and support `.dt` accessor for timedelta\n via :py:class:`core.accessor_dt.TimedeltaAccessor` (:pull:`3612`)\n By `Anderson Banihirwe <https://github.com/andersy005>`_.\n+- Support CFTimeIndex in :py:meth:`DataArray.interpolate_na`, define 1970-01-01\n+ as the default offset for the interpolation index for both DatetimeIndex and\n+ CFTimeIndex, use microseconds in the conversion from timedelta objects\n+ to floats to avoid overflow errors (:issue:`3641`, :pull:`3631`).\n+ By David Huard `<https://github.com/huard>`_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex fef1b988f01..26b42a1df21 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -23,8 +23,8 @@ Breaking changes\\n ~~~~~~~~~~~~~~~~\\n \\n - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which\\n- have been deprecated since 0.12. (:pull:`3650`). \\n- Instead, specify the encoding when writing to disk or set \\n+ have been deprecated since 0.12. (:pull:`3650`).\\n+ Instead, specify the encoding when writing to disk or set\\n the ``encoding`` attribute directly.\\n By `Maximilian Roos <https://github.com/max-sixty>`_\\n \\n@@ -48,10 +48,15 @@ New Features\\n - :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims`\\n now allow swapping to dimension names that don't exist yet. (:pull:`3636`)\\n By `Justus Magin <https://github.com/keewis>`_.\\n-- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties \\n- and support `.dt` accessor for timedelta \\n+- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties\\n+ and support `.dt` accessor for timedelta\\n via :py:class:`core.accessor_dt.TimedeltaAccessor` (:pull:`3612`)\\n By `Anderson Banihirwe <https://github.com/andersy005>`_.\\n+- Support CFTimeIndex in :py:meth:`DataArray.interpolate_na`, define 1970-01-01\\n+ as the default offset for the interpolation index for both DatetimeIndex and\\n+ CFTimeIndex, use microseconds in the conversion from timedelta objects\\n+ to floats to avoid overflow errors (:issue:`3641`, :pull:`3631`).\\n+ By David Huard `<https://github.com/huard>`_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n 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\"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-sum-False-float32-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count[x-prod-False-float-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-True-max-False-float-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count[x-prod-False-int-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-float-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-int-1]\",\n \"xarray/tests/test_duck_array_ops.py::test_argmin_max[x-False-max-False-False-float32-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_min_count[None-prod-False-float-2]\",\n \"xarray/tests/test_duck_array_ops.py::test_reduce[None-True-var-False-bool_-1]\"\n]","isConversational":false},"augmentations":{"kind":"string","value":"{\n \"header\": \"If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\",\n \"data\": [\n {\n \"type\": \"function\",\n \"name\": \"py_timedelta_to_float\"\n },\n {\n \"type\": \"field\",\n \"name\": \"py_timedelta_to_float\"\n },\n {\n \"type\": \"field\",\n \"name\": \"datetime\"\n },\n {\n \"type\": \"function\",\n \"name\": \"np_timedelta64_to_float\"\n },\n {\n \"type\": \"field\",\n \"name\": \"timedelta_to_numeric\"\n },\n {\n \"type\": \"field\",\n \"name\": \"datetime\"\n },\n {\n \"type\": \"field\",\n \"name\": \"datetime\"\n },\n {\n \"type\": \"field\",\n \"name\": \"np_timedelta64_to_float\"\n },\n {\n \"type\": \"function\",\n \"name\": \"pd_timedelta_to_float\"\n },\n {\n \"type\": \"function\",\n \"name\": \"timedelta_to_numeric\"\n },\n {\n \"type\": \"field\",\n \"name\": \"pd_timedelta_to_float\"\n },\n {\n \"type\": \"field\",\n \"name\": \"datetime\"\n }\n ]\n}"},"mask_doc_diff":{"kind":"list like","value":[{"path":"doc/whats-new.rst","old_path":"a/doc/whats-new.rst","new_path":"b/doc/whats-new.rst","metadata":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex fef1b988f01..26b42a1df21 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,8 +23,8 @@ Breaking changes\n ~~~~~~~~~~~~~~~~\n \n - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which\n- have been deprecated since 0.12. (:pull:`<PRID>`). \n- Instead, specify the encoding when writing to disk or set \n+ have been deprecated since 0.12. (:pull:`<PRID>`).\n+ Instead, specify the encoding when writing to disk or set\n the ``encoding`` attribute directly.\n By `<NAME>`_\n \n@@ -48,10 +48,15 @@ New Features\n - :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims`\n now allow swapping to dimension names that don't exist yet. (:pull:`<PRID>`)\n By `<NAME>`_.\n-- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties \n- and support `.dt` accessor for timedelta \n+- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties\n+ and support `.dt` accessor for timedelta\n via :py:class:`core.accessor_dt.TimedeltaAccessor` (:pull:`<PRID>`)\n By `<NAME>`_.\n+- Support CFTimeIndex in :py:meth:`DataArray.interpolate_na`, define 1970-01-01\n+ as the default offset for the interpolation index for both DatetimeIndex and\n+ CFTimeIndex, use microseconds in the conversion from timedelta objects\n+ to floats to avoid overflow errors (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By <NAME>_.\n \n Bug fixes\n ~~~~~~~~~\n"}],"string":"[\n {\n \"path\": \"doc/whats-new.rst\",\n \"old_path\": \"a/doc/whats-new.rst\",\n \"new_path\": \"b/doc/whats-new.rst\",\n \"metadata\": \"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\\nindex fef1b988f01..26b42a1df21 100644\\n--- a/doc/whats-new.rst\\n+++ b/doc/whats-new.rst\\n@@ -23,8 +23,8 @@ Breaking changes\\n ~~~~~~~~~~~~~~~~\\n \\n - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which\\n- have been deprecated since 0.12. (:pull:`<PRID>`). \\n- Instead, specify the encoding when writing to disk or set \\n+ have been deprecated since 0.12. (:pull:`<PRID>`).\\n+ Instead, specify the encoding when writing to disk or set\\n the ``encoding`` attribute directly.\\n By `<NAME>`_\\n \\n@@ -48,10 +48,15 @@ New Features\\n - :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims`\\n now allow swapping to dimension names that don't exist yet. (:pull:`<PRID>`)\\n By `<NAME>`_.\\n-- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties \\n- and support `.dt` accessor for timedelta \\n+- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties\\n+ and support `.dt` accessor for timedelta\\n via :py:class:`core.accessor_dt.TimedeltaAccessor` (:pull:`<PRID>`)\\n By `<NAME>`_.\\n+- Support CFTimeIndex in :py:meth:`DataArray.interpolate_na`, define 1970-01-01\\n+ as the default offset for the interpolation index for both DatetimeIndex and\\n+ CFTimeIndex, use microseconds in the conversion from timedelta objects\\n+ to floats to avoid overflow errors (:issue:`<PRID>`, :pull:`<PRID>`).\\n+ By <NAME>_.\\n \\n Bug fixes\\n ~~~~~~~~~\\n\"\n }\n]","isConversational":false},"problem_statement":{"kind":"string","value":"diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex fef1b988f01..26b42a1df21 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,8 +23,8 @@ Breaking changes\n ~~~~~~~~~~~~~~~~\n \n - Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which\n- have been deprecated since 0.12. (:pull:`<PRID>`). \n- Instead, specify the encoding when writing to disk or set \n+ have been deprecated since 0.12. (:pull:`<PRID>`).\n+ Instead, specify the encoding when writing to disk or set\n the ``encoding`` attribute directly.\n By `<NAME>`_\n \n@@ -48,10 +48,15 @@ New Features\n - :py:meth:`Dataset.swap_dims` and :py:meth:`DataArray.swap_dims`\n now allow swapping to dimension names that don't exist yet. (:pull:`<PRID>`)\n By `<NAME>`_.\n-- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties \n- and support `.dt` accessor for timedelta \n+- Extend :py:class:`core.accessor_dt.DatetimeAccessor` properties\n+ and support `.dt` accessor for timedelta\n via :py:class:`core.accessor_dt.TimedeltaAccessor` (:pull:`<PRID>`)\n By `<NAME>`_.\n+- Support CFTimeIndex in :py:meth:`DataArray.interpolate_na`, define 1970-01-01\n+ as the default offset for the interpolation index for both DatetimeIndex and\n+ CFTimeIndex, use microseconds in the conversion from timedelta objects\n+ to floats to avoid overflow errors (:issue:`<PRID>`, :pull:`<PRID>`).\n+ By <NAME>_.\n \n Bug fixes\n ~~~~~~~~~\n\nIf completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:\n[{'type': 'function', 'name': 'py_timedelta_to_float'}, {'type': 'field', 'name': 'py_timedelta_to_float'}, {'type': 'field', 'name': 'datetime'}, {'type': 'function', 'name': 'np_timedelta64_to_float'}, {'type': 'field', 'name': 'timedelta_to_numeric'}, {'type': 'field', 'name': 'datetime'}, {'type': 'field', 'name': 'datetime'}, {'type': 'field', 'name': 'np_timedelta64_to_float'}, {'type': 'function', 'name': 'pd_timedelta_to_float'}, {'type': 'function', 'name': 'timedelta_to_numeric'}, {'type': 'field', 'name': 'pd_timedelta_to_float'}, {'type': 'field', 'name': 'datetime'}]\n"}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":5,"numItemsPerPage":100,"numTotalItems":634,"offset":500,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3NTk1NTM4MSwic3ViIjoiL2RhdGFzZXRzL05vQ29kZS1iZW5jaC9Ob0NvZGUtYmVuY2hfRnVsbCIsImV4cCI6MTc3NTk1ODk4MSwiaXNzIjoiaHR0cHM6Ly9odWdnaW5nZmFjZS5jbyJ9.6qzAvsyFRgRBFTHjBhBbqocObE_1AbRhedqn4OYVXrbVAWbabkf2uKIerQMc9caamZcgEphCtGNf9xb3j4FKDA","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"test","numRows":634,"numBytesParquet":12191690}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
repo stringclasses 10
values | instance_id stringlengths 18 32 | html_url stringlengths 41 55 | feature_patch stringlengths 805 8.42M | test_patch stringlengths 548 207k | doc_changes listlengths 0 92 | version stringclasses 57
values | base_commit stringlengths 40 40 | PASS2PASS listlengths 0 3.51k | FAIL2PASS listlengths 0 5.17k | augmentations dict | mask_doc_diff listlengths 0 92 | problem_statement stringlengths 0 54.8k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
sphinx-doc/sphinx | sphinx-doc__sphinx-7314 | https://github.com/sphinx-doc/sphinx/pull/7314 | diff --git a/sphinx/ext/apidoc.py b/sphinx/ext/apidoc.py
index a9196d3a67e..23be0a00aa1 100644
--- a/sphinx/ext/apidoc.py
+++ b/sphinx/ext/apidoc.py
@@ -175,6 +175,7 @@ def create_package_file(root: str, master_package: str, subroot: str, py_files:
'separatemodules': opts.separatemodules,
'automodule_... | diff --git a/tests/test_ext_apidoc.py b/tests/test_ext_apidoc.py
index a37527a026d..e8d923b71b1 100644
--- a/tests/test_ext_apidoc.py
+++ b/tests/test_ext_apidoc.py
@@ -121,15 +121,16 @@ def test_pep_0420_enabled_separate(make_app, apidoc):
with open(outdir / 'a.b.c.rst') as f:
rst = f.read()
- a... | [] | 3.0 | 504d261f2fe5477c0226e1c7b2bbd20f0806ffda | [
"tests/test_ext_apidoc.py::test_private",
"tests/test_ext_apidoc.py::test_namespace_package_file",
"tests/test_ext_apidoc.py::test_package_file_without_submodules",
"tests/test_ext_apidoc.py::test_subpackage_in_toc",
"tests/test_ext_apidoc.py::test_trailing_underscore",
"tests/test_ext_apidoc.py::test_pac... | [
"tests/test_ext_apidoc.py::test_package_file_separate",
"tests/test_ext_apidoc.py::test_package_file",
"tests/test_ext_apidoc.py::test_pep_0420_enabled_separate"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [] | |
sphinx-doc/sphinx | sphinx-doc__sphinx-7234 | https://github.com/sphinx-doc/sphinx/pull/7234 | diff --git a/CHANGES b/CHANGES
index 15c4f376c72..3263f9fb5cd 100644
--- a/CHANGES
+++ b/CHANGES
@@ -58,6 +58,7 @@ Features added
* #6830: autodoc: consider a member private if docstring contains
``:meta private:`` in info-field-list
* #7165: autodoc: Support Annotated type (PEP-593)
+* #2815: autodoc: Support sin... | diff --git a/tests/roots/test-ext-autodoc/target/singledispatch.py b/tests/roots/test-ext-autodoc/target/singledispatch.py
new file mode 100644
index 00000000000..c33d001b1c1
--- /dev/null
+++ b/tests/roots/test-ext-autodoc/target/singledispatch.py
@@ -0,0 +1,19 @@
+from functools import singledispatch
+
+
+@singledisp... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 15c4f376c72..3263f9fb5cd 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -58,6 +58,7 @@ Features added\n * #6830: autodoc: consider a member private if docstring contains\n ``:meta pr... | 3.0 | 0e89979355c6c88adb960a7272c633d5afd34e67 | [
"tests/test_autodoc.py::test_get_doc",
"tests/test_autodoc.py::test_autodoc_exception",
"tests/test_autodoc.py::test_autodoc_warnings",
"tests/test_autodoc.py::test_partialmethod",
"tests/test_autodoc.py::test_autodoc_c_module",
"tests/test_autodoc.py::test_attrgetter_using",
"tests/test_autodoc.py::tes... | [
"tests/test_autodoc.py::test_singledispatch"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "singledispatchmethod"
}
]
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 15c4f376c72..3263f9fb5cd 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -58,6 +58,7 @@ Features added\n * #<PRID>: autodoc: consider a member private if docstring contains\n ``:meta ... | diff --git a/CHANGES b/CHANGES
index 15c4f376c72..3263f9fb5cd 100644
--- a/CHANGES
+++ b/CHANGES
@@ -58,6 +58,7 @@ Features added
* #<PRID>: autodoc: consider a member private if docstring contains
``:meta private:`` in info-field-list
* #<PRID>: autodoc: Support Annotated type (PEP-593)
+* #<PRID>: autodoc: Suppo... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7831 | https://github.com/sphinx-doc/sphinx/pull/7831 | diff --git a/CHANGES b/CHANGES
index a5aa1ed312e..21c8cf1a14f 100644
--- a/CHANGES
+++ b/CHANGES
@@ -15,6 +15,9 @@ Deprecated
Features added
--------------
+* #7807: autodoc: Show detailed warning when type_comment is mismatched with its
+ signature
+
Bugs fixed
----------
@@ -22,6 +25,7 @@ Bugs fixed
* #7802... | diff --git a/tests/roots/test-ext-autodoc/target/wrappedfunction.py b/tests/roots/test-ext-autodoc/target/wrappedfunction.py
index ea872f08682..0bd2d206994 100644
--- a/tests/roots/test-ext-autodoc/target/wrappedfunction.py
+++ b/tests/roots/test-ext-autodoc/target/wrappedfunction.py
@@ -1,8 +1,15 @@
-# for py32 or abo... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex a5aa1ed312e..21c8cf1a14f 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -15,6 +15,9 @@ Deprecated\n Features added\n --------------\n \n+* #7807: autodoc: Show detailed warning when ty... | 3.1 | b56772102e138b0a5d83f02e0031eb075c854921 | [
"tests/test_ext_autodoc_autofunction.py::test_builtin_function",
"tests/test_ext_autodoc_autofunction.py::test_callable",
"tests/test_ext_autodoc_autofunction.py::test_wrapped_function",
"tests/test_ext_autodoc_autofunction.py::test_decorated",
"tests/test_ext_autodoc_autofunction.py::test_methoddescriptor"... | [
"tests/test_ext_autodoc_autofunction.py::test_wrapped_function_contextmanager"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "contextlib"
}
]
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex a5aa1ed312e..21c8cf1a14f 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -15,6 +15,9 @@ Deprecated\n Features added\n --------------\n \n+* #<PRID>: autodoc: Show detailed warning when ... | diff --git a/CHANGES b/CHANGES
index a5aa1ed312e..21c8cf1a14f 100644
--- a/CHANGES
+++ b/CHANGES
@@ -15,6 +15,9 @@ Deprecated
Features added
--------------
+* #<PRID>: autodoc: Show detailed warning when type_comment is mismatched with its
+ signature
+
Bugs fixed
----------
@@ -22,6 +25,7 @@ Bugs fixed
* #<P... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7064 | https://github.com/sphinx-doc/sphinx/pull/7064 | diff --git a/CHANGES b/CHANGES
index a16ce6b8cd5..3050f69d584 100644
--- a/CHANGES
+++ b/CHANGES
@@ -161,6 +161,8 @@ Features added
* #6966: graphviz: Support ``:class:`` option
* #6696: html: ``:scale:`` option of image/figure directive not working for SVG
images (imagesize-1.2.0 or above is required)
+* #7025: h... | diff --git a/tests/roots/test-search/nosearch.rst b/tests/roots/test-search/nosearch.rst
new file mode 100644
index 00000000000..9aa48b3745f
--- /dev/null
+++ b/tests/roots/test-search/nosearch.rst
@@ -0,0 +1,7 @@
+:nosearch:
+
+nosearch
+========
+
+zfs
+latex
diff --git a/tests/test_search.py b/tests/test_search.py
i... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex a16ce6b8cd5..3050f69d584 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -161,6 +161,8 @@ Features added\n * #6966: graphviz: Support ``:class:`` option\n * #6696: html: ``:scale:`` opt... | 3.0 | 56eca39cbb378544efbbba930829cd6f0ac318ef | [
"tests/test_search.py::test_IndexBuilder",
"tests/test_search.py::test_stemmer_does_not_remove_short_words",
"tests/test_search.py::test_search_index_gen_zh",
"tests/test_search.py::test_IndexBuilder_lookup",
"tests/test_search.py::test_objects_are_escaped"
] | [
"tests/test_search.py::test_nosearch"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex a16ce6b8cd5..3050f69d584 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -161,6 +161,8 @@ Features added\n * #<PRID>: graphviz: Support ``:class:`` option\n * #<PRID>: html: ``:scale:``... | diff --git a/CHANGES b/CHANGES
index a16ce6b8cd5..3050f69d584 100644
--- a/CHANGES
+++ b/CHANGES
@@ -161,6 +161,8 @@ Features added
* #<PRID>: graphviz: Support ``:class:`` option
* #<PRID>: html: ``:scale:`` option of image/figure directive not working for SVG
images (imagesize-1.2.0 or above is required)
+* #<PR... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7515 | https://github.com/sphinx-doc/sphinx/pull/7515 | diff --git a/CHANGES b/CHANGES
index 8ee3fd09253..60ec69e07f2 100644
--- a/CHANGES
+++ b/CHANGES
@@ -24,6 +24,7 @@ Features added
:confval:`suppress_warnings`
* C, added scope control directives, :rst:dir:`c:namespace`,
:rst:dir:`c:namespace-push`, and :rst:dir:`c:namespace-pop`.
+* #2044: autodoc: Suppress defa... | diff --git a/tests/test_autodoc.py b/tests/test_autodoc.py
index dd474536d3a..3907e34657d 100644
--- a/tests/test_autodoc.py
+++ b/tests/test_autodoc.py
@@ -1032,14 +1032,12 @@ def test_instance_attributes(app):
'',
' .. py:attribute:: InstAttCls.ia1',
' :module: target',
- ' ... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 8ee3fd09253..60ec69e07f2 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -24,6 +24,7 @@ Features added\n :confval:`suppress_warnings`\n * C, added scope control directives, :rst:dir:`... | 3.1 | 12cb90c3fa5451e2c99100d8ce1d4d0a8bb7f527 | [
"tests/test_autodoc.py::test_get_doc",
"tests/test_autodoc.py::test_singledispatch",
"tests/test_autodoc.py::test_autodoc_exception",
"tests/test_autodoc.py::test_autodoc_warnings",
"tests/test_autodoc.py::test_partialmethod",
"tests/test_autodoc.py::test_autodoc_c_module",
"tests/test_autodoc.py::test_... | [
"tests/test_autodoc.py::test_autodoc_typed_instance_variables",
"tests/test_autodoc.py::test_instance_attributes"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 8ee3fd09253..60ec69e07f2 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -24,6 +24,7 @@ Features added\n :confval:`suppress_warnings`\n * C, added scope control directives, :rst:dir:`... | diff --git a/CHANGES b/CHANGES
index 8ee3fd09253..60ec69e07f2 100644
--- a/CHANGES
+++ b/CHANGES
@@ -24,6 +24,7 @@ Features added
:confval:`suppress_warnings`
* C, added scope control directives, :rst:dir:`c:namespace`,
:rst:dir:`c:namespace-push`, and :rst:dir:`c:namespace-pop`.
+* #<PRID>: autodoc: Suppress de... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7473 | https://github.com/sphinx-doc/sphinx/pull/7473 | diff --git a/doc/usage/extensions/autodoc.rst b/doc/usage/extensions/autodoc.rst
index 60cde1ac739..36be7568b13 100644
--- a/doc/usage/extensions/autodoc.rst
+++ b/doc/usage/extensions/autodoc.rst
@@ -154,6 +154,21 @@ inserting them into the page source under a suitable :rst:dir:`py:module`,
.. versionadded:: 3... | diff --git a/tests/roots/test-ext-autodoc/target/private.py b/tests/roots/test-ext-autodoc/target/private.py
index 38f27666354..a39ce085eca 100644
--- a/tests/roots/test-ext-autodoc/target/private.py
+++ b/tests/roots/test-ext-autodoc/target/private.py
@@ -3,3 +3,9 @@ def private_function(name):
:meta private:
... | [
{
"path": "doc/usage/extensions/autodoc.rst",
"old_path": "a/doc/usage/extensions/autodoc.rst",
"new_path": "b/doc/usage/extensions/autodoc.rst",
"metadata": "diff --git a/doc/usage/extensions/autodoc.rst b/doc/usage/extensions/autodoc.rst\nindex 60cde1ac739..36be7568b13 100644\n--- a/doc/usage/exte... | 3.1 | 2fac698e764ac28dec86844624f4ac415ea11a37 | [
"tests/test_ext_autodoc_private_members.py::test_private_field_and_private_members"
] | [
"tests/test_ext_autodoc_private_members.py::test_private_field"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/usage/extensions/autodoc.rst",
"old_path": "a/doc/usage/extensions/autodoc.rst",
"new_path": "b/doc/usage/extensions/autodoc.rst",
"metadata": "diff --git a/doc/usage/extensions/autodoc.rst b/doc/usage/extensions/autodoc.rst\nindex 60cde1ac739..36be7568b13 100644\n--- a/doc/usage/exte... | diff --git a/doc/usage/extensions/autodoc.rst b/doc/usage/extensions/autodoc.rst
index 60cde1ac739..36be7568b13 100644
--- a/doc/usage/extensions/autodoc.rst
+++ b/doc/usage/extensions/autodoc.rst
@@ -154,6 +154,21 @@ inserting them into the page source under a suitable :rst:dir:`py:module`,
.. versionadded:: 3... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7487 | https://github.com/sphinx-doc/sphinx/pull/7487 | diff --git a/sphinx/ext/autodoc/__init__.py b/sphinx/ext/autodoc/__init__.py
index ac4c7ed4bd5..a0728edfc45 100644
--- a/sphinx/ext/autodoc/__init__.py
+++ b/sphinx/ext/autodoc/__init__.py
@@ -1062,30 +1062,15 @@ def document_members(self, all_members: bool = False) -> None:
def add_directive_header(self, sig: s... | diff --git a/tests/test_autodoc.py b/tests/test_autodoc.py
index dd474536d3a..8e23291f38d 100644
--- a/tests/test_autodoc.py
+++ b/tests/test_autodoc.py
@@ -1604,6 +1604,21 @@ def test_singledispatch():
]
+@pytest.mark.usefixtures('setup_test')
+def test_singledispatch_autofunction():
+ options = {}
+ ac... | [] | 3.1 | 85ae035d61dfe9e6fb0b22f247b7655ac4d5146c | [
"tests/test_autodoc.py::test_get_doc",
"tests/test_autodoc.py::test_singledispatch",
"tests/test_autodoc.py::test_autodoc_exception",
"tests/test_autodoc.py::test_autodoc_warnings",
"tests/test_autodoc.py::test_partialmethod",
"tests/test_autodoc.py::test_autodoc_c_module",
"tests/test_autodoc.py::test_... | [
"tests/test_autodoc.py::test_singledispatch_autofunction"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [] | |
sphinx-doc/sphinx | sphinx-doc__sphinx-7748 | https://github.com/sphinx-doc/sphinx/pull/7748 | diff --git a/CHANGES b/CHANGES
index 6c2761c53e8..70cb5dcbd36 100644
--- a/CHANGES
+++ b/CHANGES
@@ -49,6 +49,7 @@ Features added
* #7143: autodoc: Support final classes and methods
* #7384: autodoc: Support signatures defined by ``__new__()``, metaclasses and
builtin base classes
+* #2106: autodoc: Support multip... | diff --git a/tests/roots/test-ext-autodoc/target/docstring_signature.py b/tests/roots/test-ext-autodoc/target/docstring_signature.py
index 2e5499770c3..244109629bc 100644
--- a/tests/roots/test-ext-autodoc/target/docstring_signature.py
+++ b/tests/roots/test-ext-autodoc/target/docstring_signature.py
@@ -17,3 +17,9 @@ d... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 6c2761c53e8..70cb5dcbd36 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -49,6 +49,7 @@ Features added\n * #7143: autodoc: Support final classes and methods\n * #7384: autodoc: Support ... | 3.1 | 9988d5ce267bf0df4791770b469431b1fb00dcdd | [
"tests/test_ext_autodoc_configs.py::test_autodoc_docstring_signature",
"tests/test_ext_autodoc_configs.py::test_autodoc_inherit_docstrings",
"tests/test_ext_autodoc_configs.py::test_autodoc_typehints_none",
"tests/test_ext_autodoc_configs.py::test_autoclass_content_init",
"tests/test_ext_autodoc_configs.py:... | [
"tests/test_ext_autodoc_configs.py::test_autoclass_content_and_docstring_signature_both",
"tests/test_ext_autodoc_configs.py::test_autoclass_content_and_docstring_signature_init"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 6c2761c53e8..70cb5dcbd36 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -49,6 +49,7 @@ Features added\n * #<PRID>: autodoc: Support final classes and methods\n * #<PRID>: autodoc: Supp... | diff --git a/CHANGES b/CHANGES
index 6c2761c53e8..70cb5dcbd36 100644
--- a/CHANGES
+++ b/CHANGES
@@ -49,6 +49,7 @@ Features added
* #<PRID>: autodoc: Support final classes and methods
* #<PRID>: autodoc: Support signatures defined by ``__new__()``, metaclasses and
builtin base classes
+* #<PRID>: autodoc: Support ... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7384 | https://github.com/sphinx-doc/sphinx/pull/7384 | diff --git a/sphinx/ext/autodoc/__init__.py b/sphinx/ext/autodoc/__init__.py
index 027fb08698a..f8e4be99972 100644
--- a/sphinx/ext/autodoc/__init__.py
+++ b/sphinx/ext/autodoc/__init__.py
@@ -13,7 +13,7 @@
import importlib
import re
import warnings
-from inspect import Parameter
+from inspect import Parameter, Sign... | diff --git a/tests/roots/test-ext-autodoc/target/typehints.py b/tests/roots/test-ext-autodoc/target/typehints.py
index 4503d41e4f5..1a70eca67fc 100644
--- a/tests/roots/test-ext-autodoc/target/typehints.py
+++ b/tests/roots/test-ext-autodoc/target/typehints.py
@@ -37,6 +37,26 @@ def tuple_args(x: Tuple[int, Union[int, ... | [] | 3.1 | ee4c7d3a68734a6cbfc787d9b9e80cd5c260fdcb | [
"tests/test_ext_autodoc.py::test_imported_partialfunction_should_not_shown_without_imported_members",
"tests/test_util_inspect.py::test_isfunction",
"tests/test_ext_autodoc.py::test_py_module",
"tests/test_util_inspect.py::test_signature_from_str_invalid",
"tests/test_ext_autodoc.py::test_autodoc_member_ord... | [
"tests/test_ext_autosummary.py::test_autosummary_generate",
"tests/test_ext_autodoc_configs.py::test_autodoc_typehints_signature",
"tests/test_ext_autodoc.py::test_autodoc_ignore_module_all",
"tests/test_ext_autodoc_configs.py::test_autoclass_content_both",
"tests/test_ext_autodoc_configs.py::test_autodoc_t... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [] | |
sphinx-doc/sphinx | sphinx-doc__sphinx-7167 | https://github.com/sphinx-doc/sphinx/pull/7167 | diff --git a/CHANGES b/CHANGES
index 4cf7b4a0b61..4a2b0726adc 100644
--- a/CHANGES
+++ b/CHANGES
@@ -45,6 +45,7 @@ Features added
* #6830: autodoc: consider a member private if docstring contains
``:meta private:`` in info-field-list
* #6558: glossary: emit a warning for duplicated glossary entry
+* #3106: domain:... | diff --git a/tests/test_build_html.py b/tests/test_build_html.py
index 25ef876444a..342c214adcd 100644
--- a/tests/test_build_html.py
+++ b/tests/test_build_html.py
@@ -1261,11 +1261,18 @@ def test_html_inventory(app):
with open(app.outdir / 'objects.inv', 'rb') as f:
invdata = InventoryFile.load(f, 'http... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 4cf7b4a0b61..4a2b0726adc 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -45,6 +45,7 @@ Features added\n * #6830: autodoc: consider a member private if docstring contains\n ``:meta pr... | 3.0 | bc14e8fd37e0e8ff8303f8741a9ce2033ac40a88 | [
"tests/test_build_html.py::test_html5_output[markup.html-expect63]",
"tests/test_build_html.py::test_html5_output[markup.html-expect43]",
"tests/test_build_html.py::test_numfig_with_numbered_toctree[index.html-expect12]",
"tests/test_build_html.py::test_html5_output[index.html-expect146]",
"tests/test_build... | [
"tests/test_build_html.py::test_html_inventory"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 4cf7b4a0b61..4a2b0726adc 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -45,6 +45,7 @@ Features added\n * #<PRID>: autodoc: consider a member private if docstring contains\n ``:meta ... | diff --git a/CHANGES b/CHANGES
index 4cf7b4a0b61..4a2b0726adc 100644
--- a/CHANGES
+++ b/CHANGES
@@ -45,6 +45,7 @@ Features added
* #<PRID>: autodoc: consider a member private if docstring contains
``:meta private:`` in info-field-list
* #<PRID>: glossary: emit a warning for duplicated glossary entry
+* #<PRID>: d... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7561 | https://github.com/sphinx-doc/sphinx/pull/7561 | diff --git a/CHANGES b/CHANGES
index 4c97b1dc80e..cfbd400dfbb 100644
--- a/CHANGES
+++ b/CHANGES
@@ -41,6 +41,7 @@ Features added
``:meta public:`` in info-field-list
* #7487: autodoc: Allow to generate docs for singledispatch functions by
py:autofunction
+* #7143: autodoc: Support final classes and methods
* #... | diff --git a/tests/roots/test-ext-autodoc/target/final.py b/tests/roots/test-ext-autodoc/target/final.py
new file mode 100644
index 00000000000..ff78442e7c2
--- /dev/null
+++ b/tests/roots/test-ext-autodoc/target/final.py
@@ -0,0 +1,14 @@
+import typing
+from typing import final
+
+
+@typing.final
+class Class:
+ ""... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 4c97b1dc80e..cfbd400dfbb 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -41,6 +41,7 @@ Features added\n ``:meta public:`` in info-field-list\n * #7487: autodoc: Allow to generate doc... | 3.1 | f388114d10753a201b961a2b440601667da615d6 | [
"tests/test_autodoc.py::test_get_doc",
"tests/test_domain_py.py::test_pydata",
"tests/test_pycode_parser.py::test_comment_picker_basic",
"tests/test_domain_py.py::test_pydata_signature_old",
"tests/test_autodoc.py::test_autodoc_special_members",
"tests/test_domain_py.py::test_domain_py_xrefs",
"tests/te... | [
"tests/test_domain_py.py::test_pyclass_options",
"tests/test_domain_py.py::test_pymethod_options"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "finals"
},
{
"type": "field",
"name": "finals"
},
{
"type": "fi... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 4c97b1dc80e..cfbd400dfbb 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -41,6 +41,7 @@ Features added\n ``:meta public:`` in info-field-list\n * #<PRID>: autodoc: Allow to generate d... | diff --git a/CHANGES b/CHANGES
index 4c97b1dc80e..cfbd400dfbb 100644
--- a/CHANGES
+++ b/CHANGES
@@ -41,6 +41,7 @@ Features added
``:meta public:`` in info-field-list
* #<PRID>: autodoc: Allow to generate docs for singledispatch functions by
py:autofunction
+* #<PRID>: autodoc: Support final classes and methods
... |
sphinx-doc/sphinx | sphinx-doc__sphinx-6969 | https://github.com/sphinx-doc/sphinx/pull/6969 | diff --git a/CHANGES b/CHANGES
index 46fe00fa9dc..2b56608455f 100644
--- a/CHANGES
+++ b/CHANGES
@@ -42,6 +42,7 @@ Deprecated
* ``sphinx.testing.path.Path.text()``
* ``sphinx.testing.path.Path.bytes()``
* ``sphinx.util.inspect.getargspec()``
+* ``sphinx.writers.latex.LaTeXWriter.format_docclass()``
Features added... | diff --git a/tests/roots/test-latex-theme/conf.py b/tests/roots/test-latex-theme/conf.py
new file mode 100644
index 00000000000..196307ae6c8
--- /dev/null
+++ b/tests/roots/test-latex-theme/conf.py
@@ -0,0 +1,2 @@
+latex_theme = 'custom'
+latex_theme_path = ['theme']
diff --git a/tests/roots/test-latex-theme/index.rst ... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 46fe00fa9dc..2b56608455f 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -42,6 +42,7 @@ Deprecated\n * ``sphinx.testing.path.Path.text()``\n * ``sphinx.testing.path.Path.bytes()``\n * `... | 3.0 | 39a191294e615af6465e347b8e31ae2f76d51653 | [
"tests/test_build_latex.py::test_latex_additional_settings_for_language_code",
"tests/test_build_latex.py::test_latex_toplevel_sectioning_is_part",
"tests/test_build_latex.py::test_image_in_section",
"tests/test_build_latex.py::test_latex_glossary",
"tests/test_build_latex.py::test_latex_toplevel_sectioning... | [
"tests/test_build_latex.py::test_latex_theme"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "ThemeError"
},
{
"type": "file",
"name": "sphinx/builders/latex/theming.py"
... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 46fe00fa9dc..2b56608455f 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -42,6 +42,7 @@ Deprecated\n * ``sphinx.testing.path.Path.text()``\n * ``sphinx.testing.path.Path.bytes()``\n * `... | diff --git a/CHANGES b/CHANGES
index 46fe00fa9dc..2b56608455f 100644
--- a/CHANGES
+++ b/CHANGES
@@ -42,6 +42,7 @@ Deprecated
* ``sphinx.testing.path.Path.text()``
* ``sphinx.testing.path.Path.bytes()``
* ``sphinx.util.inspect.getargspec()``
+* ``sphinx.writers.latex.LaTeXWriter.format_docclass()``
Features added... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7716 | https://github.com/sphinx-doc/sphinx/pull/7716 | diff --git a/CHANGES b/CHANGES
index 76341235314..8c09f876c4a 100644
--- a/CHANGES
+++ b/CHANGES
@@ -51,6 +51,7 @@ Features added
builtin base classes
* #2106: autodoc: Support multiple signatures on docstring
* #4422: autodoc: Support GenericAlias in Python 3.7 or above
+* #3610: autodoc: Support overloaded funct... | diff --git a/tests/roots/test-ext-autodoc/target/overload.py b/tests/roots/test-ext-autodoc/target/overload.py
new file mode 100644
index 00000000000..da43d32ebb6
--- /dev/null
+++ b/tests/roots/test-ext-autodoc/target/overload.py
@@ -0,0 +1,88 @@
+from typing import Any, overload
+
+
+@overload
+def sum(x: int, y: int... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 76341235314..8c09f876c4a 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -51,6 +51,7 @@ Features added\n builtin base classes\n * #2106: autodoc: Support multiple signatures on docstr... | 3.1 | c063c9c0fe383a20da613448d1f606b9635773b9 | [
"tests/test_util_inspect.py::test_isfunction",
"tests/test_ext_autodoc.py::test_autodoc_ignore_module_all",
"tests/test_pycode_parser.py::test_comment_picker_basic",
"tests/test_ext_autodoc.py::test_py_module",
"tests/test_util_inspect.py::test_signature_from_str_invalid",
"tests/test_pycode_parser.py::te... | [
"tests/test_pycode_parser.py::test_typing_overload_from_import",
"tests/test_pycode_parser.py::test_typing_overload_import_as",
"tests/test_util_inspect.py::test_signature_from_ast",
"tests/test_ext_autodoc.py::test_overload",
"tests/test_pycode_parser.py::test_typing_overload_from_import_as",
"tests/test... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "overloads"
},
{
"type": "function",
"name": "signature_from_ast"
},
{... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 76341235314..8c09f876c4a 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -51,6 +51,7 @@ Features added\n builtin base classes\n * #<PRID>: autodoc: Support multiple signatures on docs... | diff --git a/CHANGES b/CHANGES
index 76341235314..8c09f876c4a 100644
--- a/CHANGES
+++ b/CHANGES
@@ -51,6 +51,7 @@ Features added
builtin base classes
* #<PRID>: autodoc: Support multiple signatures on docstring
* #<PRID>: autodoc: Support GenericAlias in Python 3.7 or above
+* #<PRID>: autodoc: Support overloaded... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7142 | https://github.com/sphinx-doc/sphinx/pull/7142 | diff --git a/doc/theming.rst b/doc/theming.rst
index e2ef1fcf2ac..6a154affdfe 100644
--- a/doc/theming.rst
+++ b/doc/theming.rst
@@ -63,6 +63,11 @@ Python :mod:`ConfigParser` module) and has the following structure:
highlighting. This can be overridden by the user in the
:confval:`pygments_style` config value.
... | diff --git a/tests/roots/test-theming/test_theme/test-theme/theme.conf b/tests/roots/test-theming/test_theme/test-theme/theme.conf
index b7518bc9cd3..2ad2c33e128 100644
--- a/tests/roots/test-theming/test_theme/test-theme/theme.conf
+++ b/tests/roots/test-theming/test_theme/test-theme/theme.conf
@@ -1,3 +1,4 @@
[theme... | [
{
"path": "doc/theming.rst",
"old_path": "a/doc/theming.rst",
"new_path": "b/doc/theming.rst",
"metadata": "diff --git a/doc/theming.rst b/doc/theming.rst\nindex e2ef1fcf2ac..6a154affdfe 100644\n--- a/doc/theming.rst\n+++ b/doc/theming.rst\n@@ -63,6 +63,11 @@ Python :mod:`ConfigParser` module) and h... | 3.0 | 2b6f06b6228e35564ea789188ae4d47fad3f776e | [
"tests/test_build_html.py::test_html5_output[markup.html-expect63]",
"tests/test_build_html.py::test_html5_output[markup.html-expect43]",
"tests/test_build_html.py::test_numfig_with_numbered_toctree[index.html-expect12]",
"tests/test_build_html.py::test_html5_output[index.html-expect146]",
"tests/test_build... | [
"tests/test_build_html.py::test_html_dark_pygments_style_default",
"tests/test_theming.py::test_dark_style"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "dark_highlighter"
}
]
} | [
{
"path": "doc/theming.rst",
"old_path": "a/doc/theming.rst",
"new_path": "b/doc/theming.rst",
"metadata": "diff --git a/doc/theming.rst b/doc/theming.rst\nindex e2ef1fcf2ac..6a154affdfe 100644\n--- a/doc/theming.rst\n+++ b/doc/theming.rst\n@@ -63,6 +63,11 @@ Python :mod:`ConfigParser` module) and h... | diff --git a/doc/theming.rst b/doc/theming.rst
index e2ef1fcf2ac..6a154affdfe 100644
--- a/doc/theming.rst
+++ b/doc/theming.rst
@@ -63,6 +63,11 @@ Python :mod:`ConfigParser` module) and has the following structure:
highlighting. This can be overridden by the user in the
:confval:`pygments_style` config value.
... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7492 | https://github.com/sphinx-doc/sphinx/pull/7492 | diff --git a/CHANGES b/CHANGES
index f44c9c4877e..8aa598df26a 100644
--- a/CHANGES
+++ b/CHANGES
@@ -24,6 +24,8 @@ Features added
* C, added scope control directives, :rst:dir:`c:namespace`,
:rst:dir:`c:namespace-push`, and :rst:dir:`c:namespace-pop`.
* #7466: autosummary: headings in generated documents are not t... | diff --git a/tests/roots/test-ext-autosummary/index.rst b/tests/roots/test-ext-autosummary/index.rst
index c52e96ed9b2..2dc90b53802 100644
--- a/tests/roots/test-ext-autosummary/index.rst
+++ b/tests/roots/test-ext-autosummary/index.rst
@@ -5,6 +5,7 @@
.. autosummary::
:toctree: generated
+ :caption: An autosu... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex f44c9c4877e..8aa598df26a 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -24,6 +24,8 @@ Features added\n * C, added scope control directives, :rst:dir:`c:namespace`,\n :rst:dir:`c:nam... | 3.1 | 5ed890122bfd6c5a0fa96774c074468922eeaea5 | [
"tests/test_ext_autosummary.py::test_import_by_name",
"tests/test_ext_autosummary.py::test_autosummary_generate_overwrite1",
"tests/test_ext_autosummary.py::test_autosummary_skip_member",
"tests/test_ext_autosummary.py::test_invalid_autosummary_generate",
"tests/test_ext_autosummary.py::test_autosummary_lat... | [
"tests/test_ext_autosummary.py::test_empty_autosummary_generate",
"tests/test_ext_autosummary.py::test_autosummary_generate"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex f44c9c4877e..8aa598df26a 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -24,6 +24,8 @@ Features added\n * C, added scope control directives, :rst:dir:`c:namespace`,\n :rst:dir:`c:nam... | diff --git a/CHANGES b/CHANGES
index f44c9c4877e..8aa598df26a 100644
--- a/CHANGES
+++ b/CHANGES
@@ -24,6 +24,8 @@ Features added
* C, added scope control directives, :rst:dir:`c:namespace`,
:rst:dir:`c:namespace-push`, and :rst:dir:`c:namespace-pop`.
* #<PRID>: autosummary: headings in generated documents are not... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7788 | https://github.com/sphinx-doc/sphinx/pull/7788 | diff --git a/CHANGES b/CHANGES
index 38a06251650..274ee9f5f31 100644
--- a/CHANGES
+++ b/CHANGES
@@ -52,6 +52,7 @@ Features added
* #2106: autodoc: Support multiple signatures on docstring
* #4422: autodoc: Support GenericAlias in Python 3.7 or above
* #3610: autodoc: Support overloaded functions
+* #7722: autodoc: ... | diff --git a/tests/roots/test-ext-autodoc/target/typevar.py b/tests/roots/test-ext-autodoc/target/typevar.py
new file mode 100644
index 00000000000..9c6b0eab0bb
--- /dev/null
+++ b/tests/roots/test-ext-autodoc/target/typevar.py
@@ -0,0 +1,15 @@
+from typing import TypeVar
+
+#: T1
+T1 = TypeVar("T1")
+
+T2 = TypeVar("T... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 38a06251650..274ee9f5f31 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -52,6 +52,7 @@ Features added\n * #2106: autodoc: Support multiple signatures on docstring\n * #4422: autodoc: S... | 3.1 | 63dd120dc542264de286950f3df09f408e3cba75 | [
"tests/test_ext_autodoc.py::test_parse_name",
"tests/test_ext_autodoc.py::test_autodoc_GenericAlias",
"tests/test_ext_autodoc.py::test_singledispatch",
"tests/test_ext_autodoc.py::test_autodoc_ignore_module_all",
"tests/test_ext_autodoc.py::test_autodoc_descriptor",
"tests/test_ext_autodoc.py::test_autodo... | [
"tests/test_ext_autodoc.py::test_autodoc_TypeVar"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 38a06251650..274ee9f5f31 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -52,6 +52,7 @@ Features added\n * #<PRID>: autodoc: Support multiple signatures on docstring\n * #<PRID>: autodo... | diff --git a/CHANGES b/CHANGES
index 38a06251650..274ee9f5f31 100644
--- a/CHANGES
+++ b/CHANGES
@@ -52,6 +52,7 @@ Features added
* #<PRID>: autodoc: Support multiple signatures on docstring
* #<PRID>: autodoc: Support GenericAlias in Python 3.7 or above
* #<PRID>: autodoc: Support overloaded functions
+* #<PRID>: a... |
sphinx-doc/sphinx | sphinx-doc__sphinx-8035 | https://github.com/sphinx-doc/sphinx/pull/8035 | diff --git a/CHANGES b/CHANGES
index eadace6dcd4..79efd2c8df0 100644
--- a/CHANGES
+++ b/CHANGES
@@ -10,6 +10,7 @@ Incompatible changes
Deprecated
----------
+* ``sphinx.ext.autodoc.merge_special_members_option()``
* ``sphinx.writers.texinfo.TexinfoWriter.desc``
* C, parsing of pre-v3 style type directives and ro... | diff --git a/tests/test_ext_autodoc_private_members.py b/tests/test_ext_autodoc_private_members.py
index f4cadd3a543..9d7ff487a03 100644
--- a/tests/test_ext_autodoc_private_members.py
+++ b/tests/test_ext_autodoc_private_members.py
@@ -60,3 +60,24 @@ def test_private_field_and_private_members(app):
' :meta ... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex eadace6dcd4..79efd2c8df0 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -10,6 +10,7 @@ Incompatible changes\n Deprecated\n ----------\n \n+* ``sphinx.ext.autodoc.merge_special_members_... | 3.2 | 5e6da19f0e44a0ae83944fb6ce18f18f781e1a6e | [
"tests/test_ext_autodoc_private_members.py::test_private_field_and_private_members",
"tests/test_ext_autodoc_private_members.py::test_private_field"
] | [
"tests/test_ext_autodoc_private_members.py::test_private_members"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex eadace6dcd4..79efd2c8df0 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -10,6 +10,7 @@ Incompatible changes\n Deprecated\n ----------\n \n+* ``sphinx.ext.autodoc.merge_special_members_... | diff --git a/CHANGES b/CHANGES
index eadace6dcd4..79efd2c8df0 100644
--- a/CHANGES
+++ b/CHANGES
@@ -10,6 +10,7 @@ Incompatible changes
Deprecated
----------
+* ``sphinx.ext.autodoc.merge_special_members_option()``
* ``sphinx.writers.texinfo.TexinfoWriter.desc``
* C, parsing of pre-v3 style type directives and ro... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7546 | https://github.com/sphinx-doc/sphinx/pull/7546 | diff --git a/CHANGES b/CHANGES
index bebfc55007f..cd6c247aa47 100644
--- a/CHANGES
+++ b/CHANGES
@@ -41,6 +41,8 @@ Features added
caption to the toctree
* #248, #6040: autosummary: Add ``:recursive:`` option to autosummary directive
to generate stub files recursively
+* #4030: autosummary: Add :confval:`autosumm... | diff --git a/tests/roots/test-templating/_templates/autosummary/class.rst b/tests/roots/test-templating/_templates/autosummary/class.rst
index 7f153617361..6f505649c5d 100644
--- a/tests/roots/test-templating/_templates/autosummary/class.rst
+++ b/tests/roots/test-templating/_templates/autosummary/class.rst
@@ -3,6 +3,... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex bebfc55007f..cd6c247aa47 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -41,6 +41,8 @@ Features added\n caption to the toctree\n * #248, #6040: autosummary: Add ``:recursive:`` optio... | 3.1 | cec31c75d8f38d9bfbde39ead60da106bd39c641 | [
"tests/test_ext_autosummary.py::test_empty_autosummary_generate",
"tests/test_ext_autosummary.py::test_import_by_name",
"tests/test_ext_autosummary.py::test_autosummary_generate_overwrite1",
"tests/test_ext_autosummary.py::test_autosummary_recursive",
"tests/test_ext_autosummary.py::test_autosummary_skip_me... | [
"tests/test_templating.py::test_autosummary_context"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex bebfc55007f..cd6c247aa47 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -41,6 +41,8 @@ Features added\n caption to the toctree\n * #<PRID>, #6040: autosummary: Add ``:recursive:`` op... | diff --git a/CHANGES b/CHANGES
index bebfc55007f..cd6c247aa47 100644
--- a/CHANGES
+++ b/CHANGES
@@ -41,6 +41,8 @@ Features added
caption to the toctree
* #<PRID>, #6040: autosummary: Add ``:recursive:`` option to autosummary directive
to generate stub files recursively
+* #<PRID>: autosummary: Add :confval:`aut... |
sphinx-doc/sphinx | sphinx-doc__sphinx-8026 | https://github.com/sphinx-doc/sphinx/pull/8026 | diff --git a/CHANGES b/CHANGES
index 2b54e9170be..d686d297d81 100644
--- a/CHANGES
+++ b/CHANGES
@@ -33,6 +33,7 @@ Features added
* #7902: html theme: Add a new option :confval:`globaltoc_maxdepth` to control
the behavior of globaltoc in sidebar
* #7840: i18n: Optimize the dependencies check on bootstrap
+* #7768:... | diff --git a/tests/test_util_i18n.py b/tests/test_util_i18n.py
index e6e828efafd..7e3a7e2c99b 100644
--- a/tests/test_util_i18n.py
+++ b/tests/test_util_i18n.py
@@ -90,6 +90,8 @@ def test_format_date():
@pytest.mark.xfail(os.name != 'posix', reason="Path separators don't match on windows")
def test_get_filename_for... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 2b54e9170be..d686d297d81 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -33,6 +33,7 @@ Features added\n * #7902: html theme: Add a new option :confval:`globaltoc_maxdepth` to control\n... | 3.2 | 4f56fad7b7f5c71ffa734fd6a7a53b399a728f41 | [
"tests/test_util_i18n.py::test_catalog_info_for_sub_domain_file_and_path",
"tests/test_util_i18n.py::test_catalog_outdated",
"tests/test_util_i18n.py::test_CatalogRepository",
"tests/test_util_i18n.py::test_catalog_info_for_file_and_path",
"tests/test_util_i18n.py::test_catalog_write_mo"
] | [
"tests/test_util_i18n.py::test_get_filename_for_language"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 2b54e9170be..d686d297d81 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -33,6 +33,7 @@ Features added\n * #<PRID>: html theme: Add a new option :confval:`globaltoc_maxdepth` to control... | diff --git a/CHANGES b/CHANGES
index 2b54e9170be..d686d297d81 100644
--- a/CHANGES
+++ b/CHANGES
@@ -33,6 +33,7 @@ Features added
* #<PRID>: html theme: Add a new option :confval:`globaltoc_maxdepth` to control
the behavior of globaltoc in sidebar
* #<PRID>: i18n: Optimize the dependencies check on bootstrap
+* #<... |
sphinx-doc/sphinx | sphinx-doc__sphinx-8025 | https://github.com/sphinx-doc/sphinx/pull/8025 | diff --git a/CHANGES b/CHANGES
index d8a3cb915a7..c6d99836362 100644
--- a/CHANGES
+++ b/CHANGES
@@ -42,6 +42,8 @@ Features added
* #7768: i18n: :confval:`figure_language_filename` supports ``docpath`` token
* #5208: linkcheck: Support checks for local links
* #5090: setuptools: Link verbosity to distutils' -v and -... | diff --git a/doc/usage/extensions/doctest.rst b/doc/usage/extensions/doctest.rst
index 33d6cf01661..0fe9b535dc5 100644
--- a/doc/usage/extensions/doctest.rst
+++ b/doc/usage/extensions/doctest.rst
@@ -67,7 +67,7 @@ a comma-separated list of group names.
default set of flags is specified by the :confval:`doctest_def... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex d8a3cb915a7..c6d99836362 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -42,6 +42,8 @@ Features added\n * #7768: i18n: :confval:`figure_language_filename` supports ``docpath`` token\n ... | 3.2 | fcf63a20cd065ed5b6f57817cc3f2c6545122ef1 | [
"tests/test_transforms_post_transforms_code.py::test_trim_doctest_flags_disabled"
] | [
"tests/test_transforms_post_transforms_code.py::test_trim_doctest_flags_html",
"tests/test_transforms_post_transforms_code.py::test_trim_doctest_flags_latex"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex d8a3cb915a7..c6d99836362 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -42,6 +42,8 @@ Features added\n * #<PRID>: i18n: :confval:`figure_language_filename` supports ``docpath`` token\... | diff --git a/CHANGES b/CHANGES
index d8a3cb915a7..c6d99836362 100644
--- a/CHANGES
+++ b/CHANGES
@@ -42,6 +42,8 @@ Features added
* #<PRID>: i18n: :confval:`figure_language_filename` supports ``docpath`` token
* #<PRID>: linkcheck: Support checks for local links
* #<PRID>: setuptools: Link verbosity to distutils' -v... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7762 | https://github.com/sphinx-doc/sphinx/pull/7762 | diff --git a/CHANGES b/CHANGES
index 76341235314..51839ff6972 100644
--- a/CHANGES
+++ b/CHANGES
@@ -82,6 +82,8 @@ Features added
* #7596: py domain: Change a type annotation for variables to a hyperlink
* #7582: napoleon: a type for attribute are represented like type annotation
* #7734: napoleon: overescaped trail... | diff --git a/tests/test_build_linkcheck.py b/tests/test_build_linkcheck.py
index 54bde6b6858..d1fec550f7b 100644
--- a/tests/test_build_linkcheck.py
+++ b/tests/test_build_linkcheck.py
@@ -124,3 +124,36 @@ def test_auth(app, status, warning):
assert c_kwargs['auth'] == 'authinfo2'
else:
... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 76341235314..51839ff6972 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -82,6 +82,8 @@ Features added\n * #7596: py domain: Change a type annotation for variables to a hyperlink\n * #7... | 3.1 | c063c9c0fe383a20da613448d1f606b9635773b9 | [
"tests/test_build_linkcheck.py::test_auth",
"tests/test_build_linkcheck.py::test_anchors_ignored",
"tests/test_build_linkcheck.py::test_defaults_json"
] | [
"tests/test_build_linkcheck.py::test_linkcheck_request_headers"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 76341235314..51839ff6972 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -82,6 +82,8 @@ Features added\n * #<PRID>: py domain: Change a type annotation for variables to a hyperlink\n * ... | diff --git a/CHANGES b/CHANGES
index 76341235314..51839ff6972 100644
--- a/CHANGES
+++ b/CHANGES
@@ -82,6 +82,8 @@ Features added
* #<PRID>: py domain: Change a type annotation for variables to a hyperlink
* #<PRID>: napoleon: a type for attribute are represented like type annotation
* #<PRID>: napoleon: overescaped... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7463 | https://github.com/sphinx-doc/sphinx/pull/7463 | diff --git a/CHANGES b/CHANGES
index 4c983abafa4..9bb47a4e7a8 100644
--- a/CHANGES
+++ b/CHANGES
@@ -10,6 +10,9 @@ Dependencies
Incompatible changes
--------------------
+* #4826: py domain: The structure of python objects is changed. A boolean value
+ is added to indicate that the python object is canonical one
... | diff --git a/tests/test_domain_py.py b/tests/test_domain_py.py
index 5a1d73cfe66..6f91323a6e3 100644
--- a/tests/test_domain_py.py
+++ b/tests/test_domain_py.py
@@ -192,20 +192,22 @@ def find_obj(modname, prefix, obj_name, obj_type, searchmode=0):
assert (find_obj(None, None, 'NONEXISTANT', 'class') == [])
... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 4c983abafa4..9bb47a4e7a8 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -10,6 +10,9 @@ Dependencies\n Incompatible changes\n --------------------\n \n+* #4826: py domain: The structure... | 4.0 | f393d216255140d7dbd684de2f08dbeee4faaf02 | [
"tests/test_domain_py.py::test_resolve_xref_for_properties",
"tests/test_domain_py.py::test_pyfunction_signature_full",
"tests/test_domain_py.py::test_parse_annotation",
"tests/test_domain_py.py::test_pydata_signature_old",
"tests/test_environment.py::test_env_relfn2path",
"tests/test_domain_py.py::test_d... | [
"tests/test_domain_py.py::test_pyfunction",
"tests/test_domain_py.py::test_pydecorator_signature",
"tests/test_domain_py.py::test_pydata",
"tests/test_domain_py.py::test_pydecoratormethod_signature",
"tests/test_domain_py.py::test_pyclass_options",
"tests/test_domain_py.py::test_pystaticmethod",
"tests/... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 4c983abafa4..9bb47a4e7a8 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -10,6 +10,9 @@ Dependencies\n Incompatible changes\n --------------------\n \n+* #<PRID>: py domain: The structu... | diff --git a/CHANGES b/CHANGES
index 4c983abafa4..9bb47a4e7a8 100644
--- a/CHANGES
+++ b/CHANGES
@@ -10,6 +10,9 @@ Dependencies
Incompatible changes
--------------------
+* #<PRID>: py domain: The structure of python objects is changed. A boolean value
+ is added to indicate that the python object is canonical on... |
sphinx-doc/sphinx | sphinx-doc__sphinx-7979 | https://github.com/sphinx-doc/sphinx/pull/7979 | diff --git a/CHANGES b/CHANGES
index 38c18256d95..1f2d2f56901 100644
--- a/CHANGES
+++ b/CHANGES
@@ -12,6 +12,7 @@ Incompatible changes
* #4826: py domain: The structure of python objects is changed. A boolean value
is added to indicate that the python object is canonical one
+* #7784: i18n: The msgid for alt te... | diff --git a/tests/roots/test-intl/xx/LC_MESSAGES/figure.po b/tests/roots/test-intl/xx/LC_MESSAGES/figure.po
index 449b15e3f3e..64bbdf763db 100644
--- a/tests/roots/test-intl/xx/LC_MESSAGES/figure.po
+++ b/tests/roots/test-intl/xx/LC_MESSAGES/figure.po
@@ -37,19 +37,17 @@ msgstr "BLOCK"
msgid "image url and alt"
msgs... | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 38c18256d95..1f2d2f56901 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -12,6 +12,7 @@ Incompatible changes\n \n * #4826: py domain: The structure of python objects is changed. A bool... | 4.0 | 82a149f4f33ad3f36d96590b58006e64c6bada59 | [
"tests/test_intl.py::test_text_inconsistency_warnings",
"tests/test_intl.py::test_text_glossary_term",
"tests/test_intl.py::test_xml_warnings",
"tests/test_intl.py::test_image_glob_intl_using_figure_language_filename",
"tests/test_intl.py::test_text_definition_terms",
"tests/test_intl.py::test_xml_role_xr... | [
"tests/test_intl.py::test_text_figure_captions"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "CHANGES",
"old_path": "a/CHANGES",
"new_path": "b/CHANGES",
"metadata": "diff --git a/CHANGES b/CHANGES\nindex 38c18256d95..1f2d2f56901 100644\n--- a/CHANGES\n+++ b/CHANGES\n@@ -12,6 +12,7 @@ Incompatible changes\n \n * #<PRID>: py domain: The structure of python objects is changed. A bo... | diff --git a/CHANGES b/CHANGES
index 38c18256d95..1f2d2f56901 100644
--- a/CHANGES
+++ b/CHANGES
@@ -12,6 +12,7 @@ Incompatible changes
* #<PRID>: py domain: The structure of python objects is changed. A boolean value
is added to indicate that the python object is canonical one
+* #<PRID>: i18n: The msgid for al... |
pydata/xarray | pydata__xarray-7225 | https://github.com/pydata/xarray/pull/7225 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 0cc18cc7279..9e1dc20b0db 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,9 @@ v2023.07.1 (unreleased)
New Features
~~~~~~~~~~~~
+
+- Visually group together coordinates with the same indexes in the index section of the text repr (:pull:`72... | diff --git a/xarray/tests/test_formatting.py b/xarray/tests/test_formatting.py
index bf5f7d0bdc5..7670b77322c 100644
--- a/xarray/tests/test_formatting.py
+++ b/xarray/tests/test_formatting.py
@@ -218,31 +218,70 @@ def test_attribute_repr(self) -> None:
assert "\n" not in newlines
assert "\t" not in t... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 0cc18cc7279..9e1dc20b0db 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,9 @@ v2023.07.1 (unreleased)\n \... | 2308 | 2bf15f8d29251c94471da89a177814ed09cf8d20 | [
"xarray/tests/test_formatting.py::TestFormatting::test_diff_attrs_repr_with_array",
"xarray/tests/test_formatting.py::TestFormatting::test_array_repr_variable",
"xarray/tests/test_formatting.py::TestFormatting::test_format_timestamp_out_of_bounds",
"xarray/tests/test_formatting.py::test_large_array_repr_lengt... | [
"xarray/tests/test_formatting.py::TestFormatting::test_index_repr_grouping[names3]",
"xarray/tests/test_formatting.py::TestFormatting::test_index_repr_grouping[names1]",
"xarray/tests/test_formatting.py::TestFormatting::test_index_repr_grouping[names2]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "line"
}
]
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 0cc18cc7279..9e1dc20b0db 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,9 @@ v2023.07.1 (unreleased)\n \... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 0cc18cc7279..9e1dc20b0db 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,9 @@ v2023.07.1 (unreleased)
New Features
~~~~~~~~~~~~
+
+- Visually group together coordinates with the same indexes in the index section of the text repr (:pull:`<P... |
pydata/xarray | pydata__xarray-7368 | https://github.com/pydata/xarray/pull/7368 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 1a2b1d11747..527bdcdede2 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -9,17 +9,40 @@
.. autosummary::
:toctree: generated/
+ Coordinates.from_pandas_multiindex
+ Coordinates.get
+ Coordinates.items
+ Coordinates.keys
+ Coordinate... | diff --git a/xarray/testing.py b/xarray/testing.py
index 47e7dca81ae..6a8bb04f170 100644
--- a/xarray/testing.py
+++ b/xarray/testing.py
@@ -8,6 +8,7 @@
import pandas as pd
from xarray.core import duck_array_ops, formatting, utils
+from xarray.core.coordinates import Coordinates
from xarray.core.dataarray import D... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 1a2b1d11747..527bdcdede2 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -9,17 +9,40 @@\n .. autosummary::\n... | 2308 | 6b1ff6d13bf360df786500dfa7d62556d23e6df9 | [] | [
"xarray/tests/test_dataarray.py::TestReduce1D::test_argmin[datetime]",
"xarray/tests/test_variable.py::TestIndexVariable::test_getitem_with_mask",
"xarray/tests/test_variable.py::TestVariable::test_object_conversion",
"xarray/tests/test_dataarray.py::TestDataArray::test__title_for_slice_truncate",
"xarray/t... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "TypeError"
},
{
"type": "field",
"name": "deep"
},
{
"type": "f... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 1a2b1d11747..527bdcdede2 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -9,17 +9,40 @@\n .. autosummary::\n... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 1a2b1d11747..527bdcdede2 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -9,17 +9,40 @@
.. autosummary::
:toctree: generated/
+ Coordinates.from_pandas_multiindex
+ Coordinates.get
+ Coordinates.items
+ Coordinates.keys
+ Coordinate... |
pydata/xarray | pydata__xarray-7891 | https://github.com/pydata/xarray/pull/7891 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 5c0d3c3c843..76ddae654a0 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,10 @@ New Features
- Added support for multidimensional initial guess and bounds in :py:meth:`DataArray.curvefit` (:issue:`7768`, :pull:`7821`).
By `András Gunyhó <... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index e3138a32716..de013c684cb 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -4571,6 +4571,48 @@ def sine(t, a, f, p):
bounds={"a": (0, DataArray([1], coords={"foo": [1]}))},
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5c0d3c3c843..76ddae654a0 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,10 @@ New Features\n \n - Added ... | 2306 | 276b6bf22fdd5d6abeb6236b8e3c63e63049d44a | [
"xarray/tests/test_dataarray.py::TestDataArray::test_pad_stat_length[stat_length2-minimum]",
"xarray/tests/test_dataarray.py::TestReduce1D::test_min[float]",
"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[None-None-q2-False]",
"xarray/tests/test_dataarray.py::TestDataArray::test_from_multiindex... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_ignore_errors[False]",
"xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_ignore_errors[True]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5c0d3c3c843..76ddae654a0 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,10 @@ New Features\n \n - Added ... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 5c0d3c3c843..76ddae654a0 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,10 @@ New Features
- Added support for multidimensional initial guess and bounds in :py:meth:`DataArray.curvefit` (:issue:`<PRID>`, :pull:`<PRID>`).
By `<NAME>`_.
+... |
pydata/xarray | pydata__xarray-7821 | https://github.com/pydata/xarray/pull/7821 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 1c8564ff9ae..9b23b9fea58 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -23,6 +23,8 @@ v2023.05.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Added support for multidimensional initial guess and bounds in :py:meth:`DataArray.curvefit` (:issue:`7768`,... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 263653e992e..aac967807d1 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -4399,7 +4399,7 @@ def exp_decay(t, n0, tau=1):
da = da.chunk({"x": 1})
fit = da.curvefit(
- ... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1c8564ff9ae..9b23b9fea58 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,8 @@ v2023.05.1 (unreleased)\n N... | 2306 | f45eb733b97e0a20f2981b6b20e8e8dcc815e529 | [
"xarray/tests/test_dataarray.py::TestDataArray::test_pad_stat_length[stat_length2-minimum]",
"xarray/tests/test_dataarray.py::TestReduce1D::test_min[float]",
"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[None-None-q2-False]",
"xarray/tests/test_dataarray.py::TestDataArray::test_from_multiindex... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_multidimensional_guess[False]",
"xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_helpers",
"xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_multidimensional_guess[True]",
"xarray/tests/test_dataarray.py::TestDataArray::tes... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1c8564ff9ae..9b23b9fea58 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,8 @@ v2023.05.1 (unreleased)\n N... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 1c8564ff9ae..9b23b9fea58 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -23,6 +23,8 @@ v2023.05.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Added support for multidimensional initial guess and bounds in :py:meth:`DataArray.curvefit` (:issue:`<PRID>... |
pydata/xarray | pydata__xarray-7989 | https://github.com/pydata/xarray/pull/7989 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 3740a5a44f1..a23883338b0 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,10 @@ v2023.07.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow creating Xarray objects where a multidimensional variable shares its name
+ with a dimension. Exampl... | diff --git a/xarray/testing.py b/xarray/testing.py
index b6a88135ee1..80c73430312 100644
--- a/xarray/testing.py
+++ b/xarray/testing.py
@@ -364,14 +364,13 @@ def _assert_dataset_invariants(ds: Dataset, check_default_indexes: bool):
assert all(
ds._dims[k] == v.sizes[k] for v in ds._variables.values() for... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 3740a5a44f1..a23883338b0 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,10 @@ v2023.07.1 (unreleased)\n ... | 2308 | a47ff4ed7ff6d6a5a16d0e604bdb120557c42e13 | [
"xarray/tests/test_variable.py::TestIndexVariable::test_getitem_with_mask",
"xarray/tests/test_variable.py::TestVariable::test_object_conversion",
"xarray/tests/test_dataset.py::TestDataset::test_reset_index_drop_dims",
"xarray/tests/test_dataset.py::TestDataset::test_setitem_using_list_errors[var_list2-data2... | [
"xarray/tests/test_dataset.py::TestDataset::test_constructor",
"xarray/tests/test_variable.py::TestVariable::test_as_variable"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 3740a5a44f1..a23883338b0 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,10 @@ v2023.07.1 (unreleased)\n ... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 3740a5a44f1..a23883338b0 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,10 @@ v2023.07.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow creating Xarray objects where a multidimensional variable shares its name
+ with a dimension. Exampl... |
pydata/xarray | pydata__xarray-7635 | https://github.com/pydata/xarray/pull/7635 | diff --git a/doc/api.rst b/doc/api.rst
index d180aa66d25..34d6558ed55 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -632,6 +632,7 @@ DataArray methods
DataArray.from_iris
DataArray.from_series
DataArray.to_cdms2
+ DataArray.to_dask_dataframe
DataArray.to_dataframe
DataArray.to_dataset
DataArra... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 6f6286d4325..263653e992e 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -3245,6 +3245,39 @@ def test_to_dataframe_0length(self) -> None:
assert len(actual) == 0
assert_array_equal(ac... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex d180aa66d25..34d6558ed55 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -632,6 +632,7 @@ DataArray methods\n DataArray.from_iris\n DataArray.from_seri... | 2305 | 087ebbb78668bdf5d2d41c3b2553e3f29ce75be1 | [
"xarray/tests/test_dataarray.py::TestDataArray::test_pad_stat_length[stat_length2-minimum]",
"xarray/tests/test_dataarray.py::TestReduce1D::test_min[float]",
"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[None-None-q2-False]",
"xarray/tests/test_dataarray.py::TestDataArray::test_from_multiindex... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_to_dask_dataframe"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex d180aa66d25..34d6558ed55 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -632,6 +632,7 @@ DataArray methods\n DataArray.from_iris\n DataArray.from_seri... | diff --git a/doc/api.rst b/doc/api.rst
index d180aa66d25..34d6558ed55 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -632,6 +632,7 @@ DataArray methods
DataArray.from_iris
DataArray.from_series
DataArray.to_cdms2
+ DataArray.to_dask_dataframe
DataArray.to_dataframe
DataArray.to_dataset
DataArra... |
pydata/xarray | pydata__xarray-7739 | https://github.com/pydata/xarray/pull/7739 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index bfc040eb271..0a262585a41 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -102,6 +102,10 @@ New Features
- Added ability to save ``DataArray`` objects directly to Zarr using :py:meth:`~xarray.DataArray.to_zarr`.
(:issue:`7692`, :pull:`7693`) .
By ... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index dcbfd42c9f1..a27fb4defb9 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -6,7 +6,7 @@
from collections.abc import Hashable
from copy import deepcopy
from textwrap import dedent
-from typing import A... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex bfc040eb271..0a262585a41 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -102,6 +102,10 @@ New Features\n - Added a... | 2305 | a54d5b3fe2dac8a77a4952a33d443e09e77587bf | [
"xarray/tests/test_dataarray.py::TestReduce2D::test_argmin_dim[datetime]",
"xarray/tests/test_dataarray.py::TestDataArray::test_align_copy",
"xarray/tests/test_dataarray.py::TestDataArray::test_to_dataframe_multiindex",
"xarray/tests/test_dataset.py::TestDataset::test_update",
"xarray/tests/test_dataset.py:... | [
"xarray/tests/test_dataset.py::TestDataset::test_to_and_from_dict[array-True]",
"xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_dict[True-array-False]",
"xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_dict[False-array-True]",
"xarray/tests/test_dataarray.py::TestDataArray::te... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex bfc040eb271..0a262585a41 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -102,6 +102,10 @@ New Features\n - Added a... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index bfc040eb271..0a262585a41 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -102,6 +102,10 @@ New Features
- Added ability to save ``DataArray`` objects directly to Zarr using :py:meth:`~xarray.DataArray.to_zarr`.
(:issue:`<PRID>`, :pull:`<PRID>`) .
... |
pydata/xarray | pydata__xarray-7147 | https://github.com/pydata/xarray/pull/7147 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 8d7d0ec672c..3b923862473 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,9 @@ New Features
- Add scatter plot for datarrays. Scatter plots now also supports 3d plots with
the z argument. (:pull:`6778`)
By `Jimmy Westling <https://github... | diff --git a/xarray/tests/test_conventions.py b/xarray/tests/test_conventions.py
index 3ee6699fced..cc18272be72 100644
--- a/xarray/tests/test_conventions.py
+++ b/xarray/tests/test_conventions.py
@@ -475,3 +475,9 @@ def test_scalar_units() -> None:
actual = conventions.decode_cf_variable("t", var)
assert_i... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8d7d0ec672c..3b923862473 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ New Features\n - Add scatte... | 2210 | 9f390f50718ee94237084cbc1badb66f9a8083d6 | [
"xarray/tests/test_conventions.py::TestCFEncodedDataStore::test_ondisk_after_print",
"xarray/tests/test_conventions.py::TestCFEncodedDataStore::test_roundtrip_string_data",
"xarray/tests/test_conventions.py::TestDecodeCF::test_decode_cf_datetime_transition_to_invalid",
"xarray/tests/test_conventions.py::TestC... | [
"xarray/tests/test_conventions.py::test_decode_cf_error_includes_variable_name"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 8d7d0ec672c..3b923862473 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ New Features\n - Add scatte... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 8d7d0ec672c..3b923862473 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,9 @@ New Features
- Add scatter plot for datarrays. Scatter plots now also supports 3d plots with
the z argument. (:pull:`<PRID>`)
By `<NAME>`_.
+- Include the var... |
pydata/xarray | pydata__xarray-7689 | https://github.com/pydata/xarray/pull/7689 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 04013d545c3..73e1e54f9bc 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -234,6 +234,7 @@
Variable.dims
Variable.dtype
Variable.encoding
+ Variable.reset_encoding
Variable.imag
Variable.nbytes
Variable.ndim
diff --git a/doc... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 378d471ba6b..4ffa95e16e6 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -278,6 +278,25 @@ def test_encoding(self) -> None:
self.dv.encoding = expected2
assert expected2 is not self.d... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 04013d545c3..73e1e54f9bc 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -234,6 +234,7 @@\n Variable.dims... | 2304 | e79eaf5acdcda62f27ce81f08e7e71839887d3d1 | [
"xarray/tests/test_dataarray.py::TestReduce1D::test_argmin[datetime]",
"xarray/tests/test_variable.py::TestIndexVariable::test_getitem_with_mask",
"xarray/tests/test_variable.py::TestVariable::test_object_conversion",
"xarray/tests/test_dataarray.py::TestDataArray::test__title_for_slice_truncate",
"xarray/t... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_reset_encoding",
"xarray/tests/test_dataset.py::TestDataset::test_reset_encoding",
"xarray/tests/test_variable.py::TestVariable::test_reset_encoding",
"xarray/tests/test_variable.py::TestVariableWithDask::test_reset_encoding",
"xarray/tests/test_variable.... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 04013d545c3..73e1e54f9bc 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -234,6 +234,7 @@\n Variable.dims... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 04013d545c3..73e1e54f9bc 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -234,6 +234,7 @@
Variable.dims
Variable.dtype
Variable.encoding
+ Variable.reset_encoding
Variable.imag
Variable.nbytes
Variable.ndim
diff --git a/do... |
pydata/xarray | pydata__xarray-7284 | https://github.com/pydata/xarray/pull/7284 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b8a2f47bcf8..48113862c67 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,7 +21,9 @@ v2022.11.1 (unreleased)
New Features
~~~~~~~~~~~~
-
+- Enable using `offset` and `origin` arguments in :py:meth:`DataArray.resample`
+ and :py:meth:`Dataset.res... | diff --git a/xarray/tests/test_cftime_offsets.py b/xarray/tests/test_cftime_offsets.py
index 075393e84e7..d28f4594559 100644
--- a/xarray/tests/test_cftime_offsets.py
+++ b/xarray/tests/test_cftime_offsets.py
@@ -1385,3 +1385,9 @@ def test_date_range_like_errors():
match="'source' must be a 1D array of datetim... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b8a2f47bcf8..48113862c67 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,7 +21,9 @@ v2022.11.1 (unreleased)\n \... | 2212 | 78b27ecce58c5fe74a75a11c69fd48b5a7a8da61 | [
"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]",
"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]",
"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(1, 1, 1)-<YearEnd: n=1, ... | [
"xarray/tests/test_cftimeindex_resample.py::test_resample[31-None-left-None-7A-MAY->85M]",
"xarray/tests/test_cftimeindex_resample.py::test_resample[None-5S-left-left-7A-MAY->3A-MAY]",
"xarray/tests/test_cftimeindex_resample.py::test_resample[31-None-right-right-6H->12H]",
"xarray/tests/test_cftimeindex_resam... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "Timestamp"
},
{
"type": "field",
"name": "cftime"
},
{
"type": ... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b8a2f47bcf8..48113862c67 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,7 +21,9 @@ v2022.11.1 (unreleased)\n \... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b8a2f47bcf8..48113862c67 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,7 +21,9 @@ v2022.11.1 (unreleased)
New Features
~~~~~~~~~~~~
-
+- Enable using `offset` and `origin` arguments in :py:meth:`DataArray.resample`
+ and :py:meth:`Dataset.res... |
pydata/xarray | pydata__xarray-7523 | https://github.com/pydata/xarray/pull/7523 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 04013d545c3..54580ac1d9b 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -483,7 +483,6 @@
backends.NetCDF4DataStore.is_remote
backends.NetCDF4DataStore.lock
- backends.NetCDF4BackendEntrypoint.available
backends.NetCDF4BackendEntrypo... | diff --git a/xarray/tests/test_backends.py b/xarray/tests/test_backends.py
index 12e101a475d..2b1e76774ca 100644
--- a/xarray/tests/test_backends.py
+++ b/xarray/tests/test_backends.py
@@ -5023,7 +5023,7 @@ def test_scipy_entrypoint(tmp_path: Path) -> None:
assert entrypoint.guess_can_open("something-local.nc")
... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 04013d545c3..54580ac1d9b 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -483,7 +483,6 @@\n backends.NetC... | 2304 | 44488288fd8309e3468ee45a5f7408d75a21f493 | [
"xarray/tests/test_plugins.py::test_remove_duplicates_warnings",
"xarray/tests/test_plugins.py::test_broken_plugin",
"xarray/tests/test_plugins.py::test_remove_duplicates",
"xarray/tests/test_plugins.py::test_build_engines",
"xarray/tests/test_plugins.py::test_list_engines",
"xarray/tests/test_plugins.py:... | [
"xarray/tests/test_plugins.py::test_refresh_engines"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "EntryPoints"
},
{
"type": "field",
"name": "cache_clear"
}
]
} | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 04013d545c3..54580ac1d9b 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -483,7 +483,6 @@\n backends.NetC... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 04013d545c3..54580ac1d9b 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -483,7 +483,6 @@
backends.NetCDF4DataStore.is_remote
backends.NetCDF4DataStore.lock
- backends.NetCDF4BackendEntrypoint.available
backends.NetCDF4BackendEntrypo... |
pydata/xarray | pydata__xarray-7052 | https://github.com/pydata/xarray/pull/7052 | diff --git a/ci/requirements/min-all-deps.yml b/ci/requirements/min-all-deps.yml
index 8ff322ee6a4..1a2307aee5e 100644
--- a/ci/requirements/min-all-deps.yml
+++ b/ci/requirements/min-all-deps.yml
@@ -3,10 +3,10 @@ channels:
- conda-forge
- nodefaults
dependencies:
- # MINIMUM VERSIONS POLICY: see doc/installin... | diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py
index 08afdffc3b1..8d6b8f11475 100644
--- a/xarray/tests/__init__.py
+++ b/xarray/tests/__init__.py
@@ -4,7 +4,6 @@
import platform
import warnings
from contextlib import contextmanager, nullcontext
-from typing import Any
from unittest import mock #... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 30bc9f858f2..18c2539c04e 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -330,11 +330,6 @@\n plot.scatter... | 2211 | ddccd5c538220ab7b8fdab390c64e29be97ee00b | [] | [
"xarray/tests/test_plot.py::TestContour::test_xyincrease_defaults",
"xarray/tests/test_plot.py::TestSurface::test_complex_raises_typeerror",
"xarray/tests/test_plot.py::TestSurface::test_seaborn_palette_as_cmap",
"xarray/tests/test_plot.py::test_get_axis[default]",
"xarray/tests/test_plot.py::TestPlot::test... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "class",
"name": "DataArrayPlotAccessor"
},
{
"type": "field",
"name": "Hashable"
},
{
... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 30bc9f858f2..18c2539c04e 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -330,11 +330,6 @@\n plot.scatter... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 30bc9f858f2..18c2539c04e 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -330,11 +330,6 @@
plot.scatter
plot.surface
- plot.FacetGrid.map_dataarray
- plot.FacetGrid.set_titles
- plot.FacetGrid.set_ticks
- plot.FacetGrid.map
-
C... |
pydata/xarray | pydata__xarray-7741 | https://github.com/pydata/xarray/pull/7741 | diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst
index d1f1274c7a1..f8141f40321 100644
--- a/doc/user-guide/computation.rst
+++ b/doc/user-guide/computation.rst
@@ -63,6 +63,10 @@ Data arrays also implement many :py:class:`numpy.ndarray` methods:
arr.round(2)
arr.T
+ intarr = ... | diff --git a/xarray/tests/test_dask.py b/xarray/tests/test_dask.py
index b37399d6ef8..1171464a962 100644
--- a/xarray/tests/test_dask.py
+++ b/xarray/tests/test_dask.py
@@ -178,6 +178,19 @@ def test_binary_op(self):
self.assertLazyAndIdentical(u + u, v + v)
self.assertLazyAndIdentical(u[0] + u, v[0] +... | [
{
"path": "doc/user-guide/computation.rst",
"old_path": "a/doc/user-guide/computation.rst",
"new_path": "b/doc/user-guide/computation.rst",
"metadata": "diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex d1f1274c7a1..f8141f40321 100644\n--- a/doc/user-guide/computati... | 2305 | 7c53a94f53c4c01155c432c8b287f3d0b318a7c7 | [
"xarray/tests/test_dataarray.py::TestReduce1D::test_argmin[datetime]",
"xarray/tests/test_variable.py::TestIndexVariable::test_getitem_with_mask",
"xarray/tests/test_variable.py::TestVariable::test_object_conversion",
"xarray/tests/test_dataarray.py::TestDataArray::test__title_for_slice_truncate",
"xarray/t... | [
"xarray/tests/test_variable.py::TestIndexVariable::test_1d_math[int]",
"xarray/tests/test_variable.py::TestVariable::test_1d_math[int]",
"xarray/tests/test_groupby.py::test_groupby_math_bitshift",
"xarray/tests/test_variable.py::TestVariableWithDask::test_1d_math[int]",
"xarray/tests/test_dataarray.py::Test... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/user-guide/computation.rst",
"old_path": "a/doc/user-guide/computation.rst",
"new_path": "b/doc/user-guide/computation.rst",
"metadata": "diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex d1f1274c7a1..f8141f40321 100644\n--- a/doc/user-guide/computati... | diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst
index d1f1274c7a1..f8141f40321 100644
--- a/doc/user-guide/computation.rst
+++ b/doc/user-guide/computation.rst
@@ -63,6 +63,10 @@ Data arrays also implement many :py:class:`numpy.ndarray` methods:
arr.round(2)
arr.T
+ intarr = ... |
pydata/xarray | pydata__xarray-6804 | https://github.com/pydata/xarray/pull/6804 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9f6f3622f71..f859f6c420a 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -30,6 +30,9 @@ New Features
:py:meth:`coarsen`, :py:meth:`weighted`, :py:meth:`resample`,
(:pull:`6702`)
By `Michael Niklas <https://github.com/headtr1ck>`_.
+- Experiment... | diff --git a/xarray/tests/test_array_api.py b/xarray/tests/test_array_api.py
new file mode 100644
index 00000000000..8e378054c29
--- /dev/null
+++ b/xarray/tests/test_array_api.py
@@ -0,0 +1,51 @@
+from typing import Tuple
+
+import pytest
+
+import xarray as xr
+from xarray.testing import assert_equal
+
+np = pytest.i... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9f6f3622f71..f859f6c420a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,9 @@ New Features\n :py:meth:`... | 2206 | f045401ca79ecd1b80a0da67f44404c4e208fe31 | [] | [
"xarray/tests/test_array_api.py::test_arithmetic",
"xarray/tests/test_array_api.py::test_aggregation",
"xarray/tests/test_array_api.py::test_reorganizing_operation",
"xarray/tests/test_array_api.py::test_indexing"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9f6f3622f71..f859f6c420a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,9 @@ New Features\n :py:meth:`... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9f6f3622f71..f859f6c420a 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -30,6 +30,9 @@ New Features
:py:meth:`coarsen`, :py:meth:`weighted`, :py:meth:`resample`,
(:pull:`<PRID>`)
By `<NAME>`_.
+- Experimental support for wrapping any array typ... |
pydata/xarray | pydata__xarray-6475 | https://github.com/pydata/xarray/pull/6475 | diff --git a/.github/workflows/upstream-dev-ci.yaml b/.github/workflows/upstream-dev-ci.yaml
index 9748eda7dcf..68bd0c15067 100644
--- a/.github/workflows/upstream-dev-ci.yaml
+++ b/.github/workflows/upstream-dev-ci.yaml
@@ -80,6 +80,7 @@ jobs:
if: success()
id: status
run: |
+ expor... | diff --git a/xarray/tests/test_backends.py b/xarray/tests/test_backends.py
index 64030b3f595..70987a3dd38 100644
--- a/xarray/tests/test_backends.py
+++ b/xarray/tests/test_backends.py
@@ -102,6 +102,24 @@
except ImportError:
pass
+have_zarr_kvstore = False
+try:
+ from zarr.storage import KVStore
+
+ hav... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 13867daebf4..8a9f06a1e27 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -14,7 +14,6 @@ What's New\n \n np.rand... | 2212 | d6671dd414370d006254ba3156cb96256ce0e9c7 | [
"xarray/tests/test_backends.py::test_use_cftime_true[2500-all_leap]",
"xarray/tests/test_backends.py::TestScipyFileObject::test_grid_mapping_and_bounds_are_coordinates_after_dataarray_roundtrip",
"xarray/tests/test_backends.py::TestScipyFilePath::test_roundtrip_string_encoded_characters",
"xarray/tests/test_b... | [] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "zarr_version"
},
{
"type": "field",
"name": "zarr_version"
},
{
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 13867daebf4..8a9f06a1e27 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -14,7 +14,6 @@ What's New\n \n np.rand... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 13867daebf4..8a9f06a1e27 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -14,7 +14,6 @@ What's New
np.random.seed(123456)
-
.. _whats-new.2022.11.1:
v2022.11.1 (unreleased)
@@ -23,6 +22,8 @@ v2022.11.1 (unreleased)
New Features
~~~~~~~~~~... |
pydata/xarray | pydata__xarray-6971 | https://github.com/pydata/xarray/pull/6971 | diff --git a/doc/api.rst b/doc/api.rst
index 11ae5de8531..c3488389d4c 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -107,6 +107,7 @@ Dataset contents
Dataset.swap_dims
Dataset.expand_dims
Dataset.drop_vars
+ Dataset.drop_indexes
Dataset.drop_duplicates
Dataset.drop_dims
Dataset.set_coords
@@ -... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 3b69f8e80fb..3602b87102d 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -2067,6 +2067,23 @@ def test_reorder_levels(self) -> None:
with pytest.raises(ValueError, match=r"has no MultiIndex"):
... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 11ae5de8531..c3488389d4c 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -107,6 +107,7 @@ Dataset contents\n Dataset.swap_dims\n Dataset.expand_dims\n ... | 2209 | a042ae69c0444912f94bb4f29c93fa05046893ed | [
"xarray/tests/test_dataarray.py::TestReduce2D::test_argmin_dim[datetime]",
"xarray/tests/test_dataarray.py::TestDataArray::test_align_copy",
"xarray/tests/test_dataarray.py::TestDataArray::test_to_dataframe_multiindex",
"xarray/tests/test_dataset.py::TestDataset::test_update",
"xarray/tests/test_dataset.py:... | [
"xarray/tests/test_dataset.py::TestDataset::test_set_xindex",
"xarray/tests/test_dataset.py::TestDataset::test_drop_indexes",
"xarray/tests/test_indexes.py::TestPandasIndex::test_from_variables",
"xarray/tests/test_indexes.py::TestIndex::test_from_variables",
"xarray/tests/test_dataset.py::TestDataset::test... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "file",
"name": "xarray/indexes/__init__.py"
},
{
"type": "field",
"name": "options"
}
]
... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 11ae5de8531..c3488389d4c 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -107,6 +107,7 @@ Dataset contents\n Dataset.swap_dims\n Dataset.expand_dims\n ... | diff --git a/doc/api.rst b/doc/api.rst
index 11ae5de8531..c3488389d4c 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -107,6 +107,7 @@ Dataset contents
Dataset.swap_dims
Dataset.expand_dims
Dataset.drop_vars
+ Dataset.drop_indexes
Dataset.drop_duplicates
Dataset.drop_dims
Dataset.set_coords
@@ -... |
pydata/xarray | pydata__xarray-5873 | https://github.com/pydata/xarray/pull/5873 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 0266b2dc0f5..1dcdd25ccea 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,9 @@ New Features
- Fix :py:meth:`xr.cov` and :py:meth:`xr.corr` now support complex valued arrays (:issue:`7340`, :pull:`7392`).
By `Michael Niklas <https://githu... | diff --git a/xarray/tests/test_dask.py b/xarray/tests/test_dask.py
index 52a41035faf..21f0ab93d78 100644
--- a/xarray/tests/test_dask.py
+++ b/xarray/tests/test_dask.py
@@ -123,14 +123,15 @@ def test_indexing(self):
(da.array([99, 99, 3, 99]), [0, -1, 1]),
(da.array([99, 99, 99, 4]), np.arange... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 0266b2dc0f5..1dcdd25ccea 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ New Features\n \n - Fix :py... | 2303 | 49ae0f8dd39e8fc59ed3476f50b9938bbb40d0c4 | [
"xarray/tests/test_indexing.py::test_outer_indexer",
"xarray/tests/test_dataarray.py::TestReduce2D::test_argmin_dim[datetime]",
"xarray/tests/test_dataarray.py::TestDataArray::test_align_copy",
"xarray/tests/test_dataarray.py::TestDataArray::test_to_dataframe_multiindex",
"xarray/tests/test_dataset.py::Test... | [
"xarray/tests/test_indexing.py::test_indexing_dask_array_scalar",
"xarray/tests/test_indexing.py::test_vectorized_indexing_dask_array",
"xarray/tests/test_indexing.py::test_indexing_dask_array",
"xarray/tests/test_indexing.py::test_advanced_indexing_dask_array"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 0266b2dc0f5..1dcdd25ccea 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ New Features\n \n - Fix :py... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 0266b2dc0f5..1dcdd25ccea 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,9 @@ New Features
- Fix :py:meth:`xr.cov` and :py:meth:`xr.corr` now support complex valued arrays (:issue:`<PRID>`, :pull:`<PRID>`).
By `<NAME>`_.
+- Allow indexi... |
pydata/xarray | pydata__xarray-6400 | https://github.com/pydata/xarray/pull/6400 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 39aaf8e2954..e01bdf93b00 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -32,6 +32,10 @@ New Features
- Multi-index levels are now accessible through their own, regular coordinates
instead of virtual coordinates (:pull:`5692`).
By `Benoît Bovy <h... | diff --git a/xarray/tests/test_formatting.py b/xarray/tests/test_formatting.py
index 105cec7e850..efdb8a57288 100644
--- a/xarray/tests/test_formatting.py
+++ b/xarray/tests/test_formatting.py
@@ -479,6 +479,12 @@ def test_short_numpy_repr() -> None:
num_lines = formatting.short_numpy_repr(array).count("\n") +... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 39aaf8e2954..e01bdf93b00 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -32,6 +32,10 @@ New Features\n - Multi-ind... | 2206 | 728b648d5c7c3e22fe3704ba163012840408bf66 | [
"xarray/tests/test_formatting.py::TestFormatting::test_diff_attrs_repr_with_array",
"xarray/tests/test_formatting.py::TestFormatting::test_array_repr_variable",
"xarray/tests/test_formatting.py::TestFormatting::test_format_timestamp_out_of_bounds",
"xarray/tests/test_formatting.py::test_large_array_repr_lengt... | [
"xarray/tests/test_formatting.py::test_short_numpy_repr"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 39aaf8e2954..e01bdf93b00 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -32,6 +32,10 @@ New Features\n - Multi-ind... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 39aaf8e2954..e01bdf93b00 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -32,6 +32,10 @@ New Features
- Multi-index levels are now accessible through their own, regular coordinates
instead of virtual coordinates (:pull:`<PRID>`).
By `<NAME>`_.
+-... |
pydata/xarray | pydata__xarray-6778 | https://github.com/pydata/xarray/pull/6778 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b2045ec9b72..829163536b7 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,9 @@ v2022.09.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Add scatter plot for datarrays. Scatter plots now also supports 3d plots with
+ the z argument. (:pull:`677... | diff --git a/xarray/tests/test_plot.py b/xarray/tests/test_plot.py
index 67f6c83c3bc..2a51bf89943 100644
--- a/xarray/tests/test_plot.py
+++ b/xarray/tests/test_plot.py
@@ -2492,6 +2492,29 @@ def test_facetgrid(self):
with pytest.raises(ValueError, match=r"Please provide scale"):
self.ds.plot.quiv... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b2045ec9b72..829163536b7 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,9 @@ v2022.09.1 (unreleased)\n N... | 2210 | b290f5fb056a1a6a26cfeac6cfe814adceadc810 | [
"xarray/tests/test_plot.py::TestCFDatetimePlot::test_cfdatetime_line_plot",
"xarray/tests/test_plot.py::TestContour::test_coord_strings",
"xarray/tests/test_plot.py::test_get_axis_cartopy[default]",
"xarray/tests/test_plot.py::TestContourf::test_coord_strings",
"xarray/tests/test_plot.py::TestDetermineCmapP... | [
"xarray/tests/test_plot.py::test_datarray_scatter[A-B-z-None-None-None-None-None-None]",
"xarray/tests/test_plot.py::test_datarray_scatter[B-A-None-w-None-None-None-True-None]",
"xarray/tests/test_plot.py::TestDatasetScatterPlots::test_legend_labels",
"xarray/tests/test_plot.py::test_datarray_scatter[A-B-z-y-... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "KeyError"
}
]
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b2045ec9b72..829163536b7 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,9 @@ v2022.09.1 (unreleased)\n N... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b2045ec9b72..829163536b7 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,9 @@ v2022.09.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Add scatter plot for datarrays. Scatter plots now also supports 3d plots with
+ the z argument. (:pull:`<PR... |
pydata/xarray | pydata__xarray-6059 | https://github.com/pydata/xarray/pull/6059 | diff --git a/doc/api.rst b/doc/api.rst
index d2c222da4db..7fdd775e168 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -944,6 +944,7 @@ Dataset
DatasetWeighted
DatasetWeighted.mean
+ DatasetWeighted.quantile
DatasetWeighted.sum
DatasetWeighted.std
DatasetWeighted.var
@@ -958,6 +959,7 @@ DataArray
... | diff --git a/xarray/tests/test_weighted.py b/xarray/tests/test_weighted.py
index 1f065228bc4..63dd1ec0c94 100644
--- a/xarray/tests/test_weighted.py
+++ b/xarray/tests/test_weighted.py
@@ -194,6 +194,160 @@ def test_weighted_mean_no_nan(weights, expected):
assert_equal(expected, result)
+@pytest.mark.parametri... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex d2c222da4db..7fdd775e168 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -944,6 +944,7 @@ Dataset\n \n DatasetWeighted\n DatasetWeighted.mean\n+ Data... | 2206 | 8f42bfd3a5fd0b1a351b535be207ed4771b02c8b | [
"xarray/tests/test_weighted.py::test_weighted_weights_nan_raises[weights0-False]",
"xarray/tests/test_weighted.py::test_weighted_operations_3D[True-True-None]",
"xarray/tests/test_weighted.py::test_weighted_mean_no_nan[weights2-nan]",
"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[T... | [
"xarray/tests/test_weighted.py::test_weighted_quantile_equal_weights[1-False-0.5-da2]",
"xarray/tests/test_weighted.py::test_weighted_quantile_3D[True-True-0.5-None]",
"xarray/tests/test_weighted.py::test_weighted_quantile_3D[None-False-q2-b]",
"xarray/tests/test_weighted.py::test_weighted_quantile_3D[None-Fa... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "error_msg",
"name": "q values must be between 0 and 1"
},
{
"type": "field",
"name": "asarray"... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex d2c222da4db..7fdd775e168 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -944,6 +944,7 @@ Dataset\n \n DatasetWeighted\n DatasetWeighted.mean\n+ Data... | diff --git a/doc/api.rst b/doc/api.rst
index d2c222da4db..7fdd775e168 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -944,6 +944,7 @@ Dataset
DatasetWeighted
DatasetWeighted.mean
+ DatasetWeighted.quantile
DatasetWeighted.sum
DatasetWeighted.std
DatasetWeighted.var
@@ -958,6 +959,7 @@ DataArray
... |
pydata/xarray | pydata__xarray-7494 | https://github.com/pydata/xarray/pull/7494 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b7e632bdfb7..3cc2efde599 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -44,6 +44,8 @@ Bug fixes
- Fix matplotlib raising a UserWarning when plotting a scatter plot
with an unfilled marker (:issue:`7313`, :pull:`7318`).
By `Jimmy Westling <https... | diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py
index 1fe65a7e831..eda790694af 100644
--- a/xarray/tests/__init__.py
+++ b/xarray/tests/__init__.py
@@ -143,7 +143,18 @@ def __init__(self, array):
self.array = array
def __getitem__(self, key):
- raise UnexpectedDataAccess("Tried a... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b7e632bdfb7..3cc2efde599 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -44,6 +44,8 @@ Bug fixes\n - Fix matplotli... | 2303 | 830ee6de0d545c997df84fe69b0ac2334bde1d1b | [
"xarray/tests/test_accessor_dt.py::test_cftime_round_accessor[all_leap-True]",
"xarray/tests/test_coding_times.py::test_decode_standard_calendar_inside_timestamp_range[proleptic_gregorian]",
"xarray/tests/test_dataarray.py::TestDataArray::test_align_copy",
"xarray/tests/test_dataarray.py::TestDataArray::test_... | [
"xarray/tests/test_coding_times.py::test_contains_cftime_lazy"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b7e632bdfb7..3cc2efde599 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -44,6 +44,8 @@ Bug fixes\n - Fix matplotli... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b7e632bdfb7..3cc2efde599 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -44,6 +44,8 @@ Bug fixes
- Fix matplotlib raising a UserWarning when plotting a scatter plot
with an unfilled marker (:issue:`<PRID>`, :pull:`<PRID>`).
By `<NAME>`_.
+- Impr... |
pydata/xarray | pydata__xarray-6548 | https://github.com/pydata/xarray/pull/6548 | diff --git a/asv_bench/benchmarks/polyfit.py b/asv_bench/benchmarks/polyfit.py
new file mode 100644
index 00000000000..429ffa19baa
--- /dev/null
+++ b/asv_bench/benchmarks/polyfit.py
@@ -0,0 +1,38 @@
+import numpy as np
+
+import xarray as xr
+
+from . import parameterized, randn, requires_dask
+
+NDEGS = (2, 5, 20)
+N... | diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index 7a397428ba3..127fdc5404f 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -1933,37 +1933,100 @@ def test_where_attrs() -> None:
assert actual.attrs == {}
-@pytest.mark.parametrize("use_... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4882402073c..dfa36a4dcb0 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -41,6 +41,9 @@ New Features\n - Allow pass... | 2206 | 126051f2bf2ddb7926a7da11b047b852d5ca6b87 | [
"xarray/tests/test_computation.py::test_autocov[x-da_a1]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_dataarray_variables[no_conflicts-dim]",
"xarray/tests/test_computation.py::test_corr_lazycorr_consistency[None-da_a6-da_b6]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_d... | [
"xarray/tests/test_computation.py::test_polyval[reordered-index-True]",
"xarray/tests/test_computation.py::test_polyval[broadcast-x-True]",
"xarray/tests/test_computation.py::test_polyval[sparse-index-False]",
"xarray/tests/test_computation.py::test_polyval[dataset-array-True]",
"xarray/tests/test_computati... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "file",
"name": "asv_bench/benchmarks/polyfit.py"
}
]
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4882402073c..dfa36a4dcb0 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -41,6 +41,9 @@ New Features\n - Allow pass... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 4882402073c..dfa36a4dcb0 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -41,6 +41,9 @@ New Features
- Allow passing chunks in ``**kwargs`` form to :py:meth:`Dataset.chunk`, :py:meth:`DataArray.chunk`, and
:py:meth:`Variable.chunk`. (:pull:`<PRID>`)... |
pydata/xarray | pydata__xarray-6135 | https://github.com/pydata/xarray/pull/6135 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index a8cd952609c..6c71407cd46 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -19,9 +19,15 @@ What's New
v2022.02.0 (unreleased)
-----------------------
+
New Features
~~~~~~~~~~~~
+- Enabled multiplying tick offsets by floats. Allows ``float`` ``n``... | diff --git a/xarray/tests/test_cftime_offsets.py b/xarray/tests/test_cftime_offsets.py
index 4f94b35e3c3..3879959675f 100644
--- a/xarray/tests/test_cftime_offsets.py
+++ b/xarray/tests/test_cftime_offsets.py
@@ -18,6 +18,7 @@
QuarterBegin,
QuarterEnd,
Second,
+ Tick,
YearBegin,
YearEnd,
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex a8cd952609c..6c71407cd46 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -19,9 +19,15 @@ What's New\n v2022.02.0 (u... | 2203 | 48290fa14accd3ac87768d3f73d69493b82b0be6 | [
"xarray/tests/test_cftimeindex.py::test_sel_date_list_tolerance_raises[365_day-sel_kwargs1]",
"xarray/tests/test_cftimeindex.py::test_cftimeindex_rsub[proleptic_gregorian]",
"xarray/tests/test_cftimeindex.py::test_indexing_in_series_getitem[360_day]",
"xarray/tests/test_cftimeindex.py::test_infer_freq[365_day... | [
"xarray/tests/test_cftime_offsets.py::test_add_month_end[all_leap-(1, 2, 1)-<MonthEnd: n=14>-(2, 3)-()]",
"xarray/tests/test_cftime_offsets.py::test_rollforward[365_day-<QuarterBegin: n=1, month=3>-(1, 3, 2)-(1, 6)]",
"xarray/tests/test_cftime_offsets.py::test_add_quarter_end[standard-(2, 3, 1)-<QuarterEnd: n=-... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "error_msg",
"name": "Could not convert to integer offset at any resolution"
},
{
"type": "field",
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex a8cd952609c..6c71407cd46 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -19,9 +19,15 @@ What's New\n v2022.02.0 (u... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index a8cd952609c..6c71407cd46 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -19,9 +19,15 @@ What's New
v2022.02.0 (unreleased)
-----------------------
+
New Features
~~~~~~~~~~~~
+- Enabled multiplying tick offsets by floats. Allows ``float`` ``n``... |
pydata/xarray | pydata__xarray-5365 | https://github.com/pydata/xarray/pull/5365 | diff --git a/doc/api.rst b/doc/api.rst
index 9433ecfa56d..ef2694ea661 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -32,6 +32,7 @@ Top-level functions
ones_like
cov
corr
+ cross
dot
polyval
map_blocks
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 1c4b49097a3..bd6097d61fe 100644
--- ... | diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index 77d3110104f..6af93607e6b 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -1952,3 +1952,110 @@ def test_polyval(use_dask, use_datetime) -> None:
da_pv = xr.polyval(da.x, coeffs)
xr.t... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 9433ecfa56d..ef2694ea661 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -32,6 +32,7 @@ Top-level functions\n ones_like\n cov\n corr\n+ cross\n ... | 0021 | 3960ea3ba08f81d211899827612550f6ac2de804 | [
"xarray/tests/test_computation.py::test_autocov[x-da_a1]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_dataarray_variables[no_conflicts-dim]",
"xarray/tests/test_computation.py::test_corr_lazycorr_consistency[None-da_a6-da_b6]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_d... | [
"xarray/tests/test_computation.py::test_cross[a1-b1-ae1-be1-dim_0--1-False]",
"xarray/tests/test_computation.py::test_cross[a6-b6-ae6-be6-cartesian--1-False]",
"xarray/tests/test_computation.py::test_cross[a1-b1-ae1-be1-dim_0--1-True]",
"xarray/tests/test_computation.py::test_cross[a2-b2-ae2-be2-dim_0--1-Fals... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 9433ecfa56d..ef2694ea661 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -32,6 +32,7 @@ Top-level functions\n ones_like\n cov\n corr\n+ cross\n ... | diff --git a/doc/api.rst b/doc/api.rst
index 9433ecfa56d..ef2694ea661 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -32,6 +32,7 @@ Top-level functions
ones_like
cov
corr
+ cross
dot
polyval
map_blocks
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 1c4b49097a3..bd6097d61fe 100644
---... |
pydata/xarray | pydata__xarray-5716 | https://github.com/pydata/xarray/pull/5716 | diff --git a/doc/api.rst b/doc/api.rst
index fb2296d1226..87bc3b7a84e 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -35,6 +35,7 @@ Top-level functions
map_blocks
show_versions
set_options
+ get_options
unify_chunks
Dataset
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 4f79a37eb4b..0a4209... | diff --git a/xarray/tests/test_options.py b/xarray/tests/test_options.py
index 19f74476ced..af16d867401 100644
--- a/xarray/tests/test_options.py
+++ b/xarray/tests/test_options.py
@@ -203,3 +203,14 @@ def test_display_dataarray_style_html(self):
html = da._repr_html_()
assert html.startswith(... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex fb2296d1226..87bc3b7a84e 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -35,6 +35,7 @@ Top-level functions\n map_blocks\n show_versions\n set_optio... | 0020 | e26aec9500e04f3b926b248988b976dbfcb9c632 | [
"xarray/tests/test_options.py::test_nested_options",
"xarray/tests/test_options.py::test_keep_attrs",
"xarray/tests/test_options.py::test_arithmetic_join",
"xarray/tests/test_options.py::TestAttrRetention::test_dataset_attr_retention",
"xarray/tests/test_options.py::test_file_cache_maxsize",
"xarray/tests... | [
"xarray/tests/test_options.py::test_get_options_retention[left]",
"xarray/tests/test_options.py::test_get_options_retention[exact]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex fb2296d1226..87bc3b7a84e 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -35,6 +35,7 @@ Top-level functions\n map_blocks\n show_versions\n set_optio... | diff --git a/doc/api.rst b/doc/api.rst
index fb2296d1226..87bc3b7a84e 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -35,6 +35,7 @@ Top-level functions
map_blocks
show_versions
set_options
+ get_options
unify_chunks
Dataset
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 4f79a37eb4b..0a420... |
pydata/xarray | pydata__xarray-6635 | https://github.com/pydata/xarray/pull/6635 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index c9ee52f3da0..b922e7f3949 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -48,6 +48,9 @@ New Features
is faster and requires less memory. (:pull:`6548`)
By `Michael Niklas <https://github.com/headtr1ck>`_.
- Improved overall typing.
+- :py:meth:`D... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 01d17837f61..970e2a8e710 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -3140,10 +3140,12 @@ def test_series_categorical_index(self):
arr = DataArray(s)
assert "'a'" in repr(arr) # ... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex c9ee52f3da0..b922e7f3949 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -48,6 +48,9 @@ New Features\n is faster ... | 2206 | 3b242a184072db9928ede7b72c07f047cd67d23b | [
"xarray/tests/test_dataarray.py::TestDataArray::test_pad_stat_length[stat_length2-minimum]",
"xarray/tests/test_dataarray.py::test_rolling_exp_mean_pandas[1-numpy-span-5-x]",
"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-sum-3-3-True-1]",
"xarray/tests/test_dataarray.py::TestReduce2D::test_max[x3... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_dict[False]",
"xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_dict[True]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex c9ee52f3da0..b922e7f3949 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -48,6 +48,9 @@ New Features\n is faster ... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index c9ee52f3da0..b922e7f3949 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -48,6 +48,9 @@ New Features
is faster and requires less memory. (:pull:`<PRID>`)
By `<NAME>`_.
- Improved overall typing.
+- :py:meth:`Dataset.to_dict` and :py:meth:`DataArr... |
pydata/xarray | pydata__xarray-5682 | https://github.com/pydata/xarray/pull/5682 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9ac9639b8c1..52114be991b 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,8 @@ v0.19.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Xarray now does a better job rendering variable names that are long LaTeX sequences when plotting (:issue:`5681... | diff --git a/xarray/tests/test_plot.py b/xarray/tests/test_plot.py
index ee8bafb8fa7..e358bd47485 100644
--- a/xarray/tests/test_plot.py
+++ b/xarray/tests/test_plot.py
@@ -2950,3 +2950,10 @@ def test_datarray_scatter(x, y, z, hue, markersize, row, col, add_legend, add_co
add_legend=add_legend,
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9ac9639b8c1..52114be991b 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,8 @@ v0.19.1 (unreleased)\n \n N... | 0020 | 2705c63e0c03a21d2bbce3a337fac60dd6f6da59 | [] | [
"xarray/tests/test_plot.py::test_latex_name_isnt_split"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9ac9639b8c1..52114be991b 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,8 @@ v0.19.1 (unreleased)\n \n N... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9ac9639b8c1..52114be991b 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,8 @@ v0.19.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Xarray now does a better job rendering variable names that are long LaTeX sequences when plotting (:issue:`<PRI... |
pydata/xarray | pydata__xarray-5950 | https://github.com/pydata/xarray/pull/5950 | diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst
index d830076e37b..de2afa9060c 100644
--- a/doc/user-guide/computation.rst
+++ b/doc/user-guide/computation.rst
@@ -107,6 +107,8 @@ Xarray also provides the ``max_gap`` keyword argument to limit the interpolation
data gaps of length ``max_gap... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 55c68b7ff6b..438bdf8bdc3 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -2404,7 +2404,7 @@ def test_cumops(self):
expected = DataArray([[-1, 0, 0], [-3, 0, 0]], coords, dims=["x", "y"])
... | [
{
"path": "doc/user-guide/computation.rst",
"old_path": "a/doc/user-guide/computation.rst",
"new_path": "b/doc/user-guide/computation.rst",
"metadata": "diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex d830076e37b..de2afa9060c 100644\n--- a/doc/user-guide/computati... | 2211 | d293f50f9590251ce09543319d1f0dc760466f1b | [
"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-max-4-3-True-2]",
"xarray/tests/test_dataset.py::test_ndrolling_reduce[numpy-False-max-None-True-2]",
"xarray/tests/test_duck_array_ops.py::test_min_count[True-False-None-prod-True-bool_-2]",
"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-m... | [] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/user-guide/computation.rst",
"old_path": "a/doc/user-guide/computation.rst",
"new_path": "b/doc/user-guide/computation.rst",
"metadata": "diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst\nindex d830076e37b..de2afa9060c 100644\n--- a/doc/user-guide/computati... | diff --git a/doc/user-guide/computation.rst b/doc/user-guide/computation.rst
index d830076e37b..de2afa9060c 100644
--- a/doc/user-guide/computation.rst
+++ b/doc/user-guide/computation.rst
@@ -107,6 +107,8 @@ Xarray also provides the ``max_gap`` keyword argument to limit the interpolation
data gaps of length ``max_gap... |
pydata/xarray | pydata__xarray-6706 | https://github.com/pydata/xarray/pull/6706 | diff --git a/doc/api.rst b/doc/api.rst
index 644b86cdebb..810c1a92682 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -61,6 +61,7 @@ Attributes
Dataset.dims
Dataset.sizes
+ Dataset.dtypes
Dataset.data_vars
Dataset.coords
Dataset.attrs
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 3c53d3... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index d4f7b0f096f..3b1b1da651f 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -1321,9 +1321,11 @@ def test_coords(self) -> None:
]
da = DataArray(np.random.randn(2, 3), coords, name="foo")... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 644b86cdebb..810c1a92682 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -61,6 +61,7 @@ Attributes\n \n Dataset.dims\n Dataset.sizes\n+ Dataset.dtype... | 2206 | 9a719909ffbab972f6811cbfea8447075b4b919e | [
"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-max-4-3-True-2]",
"xarray/tests/test_dataset.py::test_ndrolling_reduce[numpy-False-max-None-True-2]",
"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-max-3-1-False-1]",
"xarray/tests/test_dataset.py::TestDataset::test_setitem_dimension_overr... | [
"xarray/tests/test_dataset.py::TestDataset::test_coords_properties",
"xarray/tests/test_dataarray.py::TestDataArray::test_coords",
"xarray/tests/test_dataset.py::TestDataset::test_data_vars_properties",
"xarray/tests/test_dataset.py::TestDataset::test_properties"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 644b86cdebb..810c1a92682 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -61,6 +61,7 @@ Attributes\n \n Dataset.dims\n Dataset.sizes\n+ Dataset.dtype... | diff --git a/doc/api.rst b/doc/api.rst
index 644b86cdebb..810c1a92682 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -61,6 +61,7 @@ Attributes
Dataset.dims
Dataset.sizes
+ Dataset.dtypes
Dataset.data_vars
Dataset.coords
Dataset.attrs
diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 3c53d... |
pydata/xarray | pydata__xarray-5362 | https://github.com/pydata/xarray/pull/5362 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 2dc271061e4..6d61345b01d 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,9 @@ v0.18.3 (unreleased)
New Features
~~~~~~~~~~~~
+- Attempting to reduce a weighted object over missing dimensions now raises an error (:pull:`5362`).
+ By `Matti... | diff --git a/xarray/tests/test_weighted.py b/xarray/tests/test_weighted.py
index 31c3c552d93..45e662f118e 100644
--- a/xarray/tests/test_weighted.py
+++ b/xarray/tests/test_weighted.py
@@ -368,3 +368,19 @@ def test_weighted_operations_keep_attr_da_in_ds(operation):
result = getattr(data.weighted(weights), operatio... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2dc271061e4..6d61345b01d 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,9 @@ v0.18.3 (unreleased)\n New ... | 0019 | bc41eb20ba96c4d6a4b5bf12f1749523f34fa321 | [
"xarray/tests/test_weighted.py::test_weighted_mean_equal_weights[3.14-False-da1]",
"xarray/tests/test_weighted.py::test_weighted_weights_nan_raises[weights0-False]",
"xarray/tests/test_weighted.py::test_weighted_operations_3D[None-False-a]",
"xarray/tests/test_weighted.py::test_weighted_operations_different_s... | [
"xarray/tests/test_weighted.py::test_weighted_bad_dim[True]",
"xarray/tests/test_weighted.py::test_weighted_bad_dim[False]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2dc271061e4..6d61345b01d 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,9 @@ v0.18.3 (unreleased)\n New ... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 2dc271061e4..6d61345b01d 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,9 @@ v0.18.3 (unreleased)
New Features
~~~~~~~~~~~~
+- Attempting to reduce a weighted object over missing dimensions now raises an error (:pull:`<PRID>`).
+ By `<NA... |
pydata/xarray | pydata__xarray-5233 | https://github.com/pydata/xarray/pull/5233 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index a6681715a3e..8ed9e47be01 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -77,6 +77,7 @@
core.accessor_dt.DatetimeAccessor.floor
core.accessor_dt.DatetimeAccessor.round
core.accessor_dt.DatetimeAccessor.strftime
+ core.accessor_dt.Datet... | diff --git a/xarray/tests/test_accessor_dt.py b/xarray/tests/test_accessor_dt.py
index bdfe25b3c5c..b471bd2e267 100644
--- a/xarray/tests/test_accessor_dt.py
+++ b/xarray/tests/test_accessor_dt.py
@@ -105,6 +105,10 @@ def test_isocalendar(self, field, pandas_field) -> None:
actual = self.data.time.dt.isocalend... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex a6681715a3e..8ed9e47be01 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -77,6 +77,7 @@\n core.accessor_d... | 0020 | 2694046c748a51125de6d460073635f1d789958e | [
"xarray/tests/test_accessor_dt.py::test_date_cftime[365_day]",
"xarray/tests/test_accessor_dt.py::test_field_access[366_day-dayofyear]",
"xarray/tests/test_accessor_dt.py::TestTimedeltaAccessor::test_accessor_methods[ceil-D]",
"xarray/tests/test_accessor_dt.py::test_dask_field_access_1d[gregorian-day]",
"xa... | [
"xarray/tests/test_accessor_dt.py::test_cftime_round_accessor[all_leap-True]",
"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]",
"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]",
"xarray/t... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "_should_cftime_be_used"
},
{
"type": "field",
"name": "source"
},
{
... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex a6681715a3e..8ed9e47be01 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -77,6 +77,7 @@\n core.accessor_d... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index a6681715a3e..8ed9e47be01 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -77,6 +77,7 @@
core.accessor_dt.DatetimeAccessor.floor
core.accessor_dt.DatetimeAccessor.round
core.accessor_dt.DatetimeAccessor.strftime
+ core.accessor_dt.Datet... |
pydata/xarray | pydata__xarray-5900 | https://github.com/pydata/xarray/pull/5900 | diff --git a/doc/api.rst b/doc/api.rst
index 4686751c536..e3e1a02fcf4 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -65,6 +65,7 @@ Attributes
Dataset.indexes
Dataset.get_index
Dataset.chunks
+ Dataset.chunksizes
Dataset.nbytes
Dictionary interface
@@ -271,6 +272,7 @@ Attributes
DataArray.encodi... | diff --git a/xarray/tests/test_dask.py b/xarray/tests/test_dask.py
index d5d460056aa..fa49d253e26 100644
--- a/xarray/tests/test_dask.py
+++ b/xarray/tests/test_dask.py
@@ -104,6 +104,11 @@ def test_chunk(self):
assert rechunked.chunks == expected
self.assertLazyAndIdentical(self.eager_var, re... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 4686751c536..e3e1a02fcf4 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -65,6 +65,7 @@ Attributes\n Dataset.indexes\n Dataset.get_index\n Dataset.c... | 0020 | df7646182b17d829fe9b2199aebf649ddb2ed480 | [
"xarray/tests/test_dask.py::test_token_identical[obj0-<lambda>1]",
"xarray/tests/test_dask.py::test_token_changes_when_buffer_changes[obj0]",
"xarray/tests/test_dask.py::test_unify_chunks_shallow_copy[<lambda>0-obj1]",
"xarray/tests/test_dask.py::TestVariable::test_compute",
"xarray/tests/test_dask.py::test... | [
"xarray/tests/test_dask.py::TestVariable::test_chunk",
"xarray/tests/test_dask.py::TestDataArrayAndDataset::test_chunk"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 4686751c536..e3e1a02fcf4 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -65,6 +65,7 @@ Attributes\n Dataset.indexes\n Dataset.get_index\n Dataset.c... | diff --git a/doc/api.rst b/doc/api.rst
index 4686751c536..e3e1a02fcf4 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -65,6 +65,7 @@ Attributes
Dataset.indexes
Dataset.get_index
Dataset.chunks
+ Dataset.chunksizes
Dataset.nbytes
Dictionary interface
@@ -271,6 +272,7 @@ Attributes
DataArray.encodi... |
pydata/xarray | pydata__xarray-5284 | https://github.com/pydata/xarray/pull/5284 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9ba9a7e9c0f..b957ed4bab2 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,11 +21,14 @@ v0.18.3 (unreleased)
New Features
~~~~~~~~~~~~
-
- Allow assigning values to a subset of a dataset using positional or label-based
indexing (:issue:`3015`,... | diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index cbfa61a4482..b7ae1ca9828 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -22,7 +22,7 @@
unified_dim_sizes,
)
-from . import has_dask, requires_dask
+from . import has_dask, raise_if_das... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9ba9a7e9c0f..b957ed4bab2 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,11 +21,14 @@ v0.18.3 (unreleased)\n \n... | 0019 | a6a1e48b57499f91db7e7c15593aadc7930020e8 | [
"xarray/tests/test_computation.py::test_autocov[x-da_a1]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_dataarray_variables[no_conflicts-dim]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_dataset_variables[no_conflicts-dim]",
"xarray/tests/test_computation.py::test_autocov[N... | [
"xarray/tests/test_computation.py::test_lazy_corrcov[x-da_a5-da_b5-1]",
"xarray/tests/test_computation.py::test_lazy_corrcov[time-da_a2-da_b2-0]",
"xarray/tests/test_computation.py::test_lazy_corrcov[x-da_a0-da_b0-0]",
"xarray/tests/test_computation.py::test_lazy_corrcov[None-da_a5-da_b5-0]",
"xarray/tests/... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9ba9a7e9c0f..b957ed4bab2 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,11 +21,14 @@ v0.18.3 (unreleased)\n \n... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9ba9a7e9c0f..b957ed4bab2 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,11 +21,14 @@ v0.18.3 (unreleased)
New Features
~~~~~~~~~~~~
-
- Allow assigning values to a subset of a dataset using positional or label-based
indexing (:issue:`<PRID>... |
pydata/xarray | pydata__xarray-5514 | https://github.com/pydata/xarray/pull/5514 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 57ec853915b..daddc91b73f 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -48,6 +48,9 @@ New Features
By `Justus Magin <https://github.com/keewis>`_.
- Allow plotting categorical data (:pull:`5464`).
By `Jimmy Westling <https://github.com/illvilja... | diff --git a/xarray/tests/test_conventions.py b/xarray/tests/test_conventions.py
index cd8e3419231..ceea167719f 100644
--- a/xarray/tests/test_conventions.py
+++ b/xarray/tests/test_conventions.py
@@ -142,6 +142,40 @@ def test_do_not_overwrite_user_coordinates(self):
with pytest.raises(ValueError, match=r"'coo... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 57ec853915b..daddc91b73f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -48,6 +48,9 @@ New Features\n By `Justus... | 0019 | 5ccb06951cecd59b890c1457e36ee3c2030a67aa | [
"xarray/tests/test_conventions.py::TestDecodeCF::test_decode_coordinates",
"xarray/tests/test_conventions.py::TestDecodeCF::test_decode_cf_datetime_transition_to_invalid",
"xarray/tests/test_conventions.py::TestDecodeCF::test_dataset_repr_with_netcdf4_datetimes",
"xarray/tests/test_conventions.py::TestDecodeC... | [
"xarray/tests/test_conventions.py::TestEncodeCFVariable::test_emit_coordinates_attribute_in_attrs",
"xarray/tests/test_conventions.py::TestEncodeCFVariable::test_emit_coordinates_attribute_in_encoding"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 57ec853915b..daddc91b73f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -48,6 +48,9 @@ New Features\n By `<NAME>... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 57ec853915b..daddc91b73f 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -48,6 +48,9 @@ New Features
By `<NAME>`_.
- Allow plotting categorical data (:pull:`<PRID>`).
By `<NAME>`_.
+- Allow removal of the coordinate attribute ``coordinates`` on v... |
pydata/xarray | pydata__xarray-4896 | https://github.com/pydata/xarray/pull/4896 | diff --git a/doc/api.rst b/doc/api.rst
index fbd0a75bb41..bddccb20e37 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -899,6 +899,7 @@ Advanced API
Variable
IndexVariable
as_variable
+ Context
register_dataset_accessor
register_dataarray_accessor
Dataset.set_close
diff --git a/doc/whats-new.rst ... | diff --git a/xarray/tests/test_combine.py b/xarray/tests/test_combine.py
index 3b6aaec60f2..ded8c3a7cda 100644
--- a/xarray/tests/test_combine.py
+++ b/xarray/tests/test_combine.py
@@ -531,6 +531,9 @@ def test_auto_combine_2d_combine_attrs_kwarg(self):
}
expected_dict["override"] = expected.copy(deep=... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex fbd0a75bb41..bddccb20e37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -899,6 +899,7 @@ Advanced API\n Variable\n IndexVariable\n as_variable\n+ ... | 0019 | 9daf9b13648c9a02bddee3640b80fe95ea1fff61 | [
"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs_variables[identical-attrs16-attrs26-expected_attrs6-True]",
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_combine_attrs[identical-attrs14-attrs24-None-True]",
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_no_conflicts"... | [
"xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs[<lambda>-expected3]",
"xarray/tests/test_concat.py::TestConcatDataset::test_concat_combine_attrs_kwarg_variables[<lambda>-attrs19-attrs29-expected_attrs9-False]",
"xarray/tests/test_concat.py::TestConcatDataset::test_concat_combin... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "context"
}
]
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex fbd0a75bb41..bddccb20e37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -899,6 +899,7 @@ Advanced API\n Variable\n IndexVariable\n as_variable\n+ ... | diff --git a/doc/api.rst b/doc/api.rst
index fbd0a75bb41..bddccb20e37 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -899,6 +899,7 @@ Advanced API
Variable
IndexVariable
as_variable
+ Context
register_dataset_accessor
register_dataarray_accessor
Dataset.set_close
diff --git a/doc/whats-new.rst... |
pydata/xarray | pydata__xarray-6307 | https://github.com/pydata/xarray/pull/6307 | diff --git a/doc/api.rst b/doc/api.rst
index b552bc6b4d2..d2c222da4db 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -106,6 +106,7 @@ Dataset contents
Dataset.swap_dims
Dataset.expand_dims
Dataset.drop_vars
+ Dataset.drop_duplicates
Dataset.drop_dims
Dataset.set_coords
Dataset.reset_coords
diff... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 8d73f9ec7ee..fc82c03c5d9 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -6618,25 +6618,50 @@ def test_clip(da):
result = da.clip(min=da.mean("x"), max=da.mean("a").isel(x=[0, 1]))
-@pytes... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex b552bc6b4d2..d2c222da4db 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -106,6 +106,7 @@ Dataset contents\n Dataset.swap_dims\n Dataset.expand_dims\n ... | 2203 | de965f342e1c9c5de92ab135fbc4062e21e72453 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[numpy-median-3-3-False-2]",
"xarray/tests/test_dataset.py::TestDataset::test_reduce_cumsum_test_dims[cumprod-dim3-expected2]",
"xarray/tests/test_dataarray.py::TestDataArray::test_to_dataframe_multiindex",
"xarray/tests/test_dataset.py::TestDataset::test_upda... | [
"xarray/tests/test_dataset.py::TestDropDuplicates::test_drop_duplicates_1d[False]",
"xarray/tests/test_dataset.py::TestDropDuplicates::test_drop_duplicates_1d[first]",
"xarray/tests/test_dataarray.py::TestDropDuplicates::test_drop_duplicates_2d",
"xarray/tests/test_dataset.py::TestDropDuplicates::test_drop_du... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "keep"
}
]
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex b552bc6b4d2..d2c222da4db 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -106,6 +106,7 @@ Dataset contents\n Dataset.swap_dims\n Dataset.expand_dims\n ... | diff --git a/doc/api.rst b/doc/api.rst
index b552bc6b4d2..d2c222da4db 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -106,6 +106,7 @@ Dataset contents
Dataset.swap_dims
Dataset.expand_dims
Dataset.drop_vars
+ Dataset.drop_duplicates
Dataset.drop_dims
Dataset.set_coords
Dataset.reset_coords
dif... |
pydata/xarray | pydata__xarray-5041 | https://github.com/pydata/xarray/pull/5041 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 62da8bf1ea2..d07a2741eef 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,9 @@ v0.18.1 (unreleased)
New Features
~~~~~~~~~~~~
+- allow passing ``combine_attrs`` strategy names to the ``keep_attrs`` parameter of
+ :py:func:`apply_ufunc` (:p... | diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index c76633de831..cbfa61a4482 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -29,6 +29,7 @@
def assert_identical(a, b):
"""A version of this function which accepts numpy arrays"""
+ __tr... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 62da8bf1ea2..d07a2741eef 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,9 @@ v0.18.1 (unreleased)\n \n N... | 0018 | 1f52ae0e841d75e3f331f16c0f31cd06a1675e23 | [
"xarray/tests/test_computation.py::test_autocov[x-da_a1]",
"xarray/tests/test_computation.py::test_autocov[None-da_a1]",
"xarray/tests/test_computation.py::test_covcorr_consistency[time-da_a0-da_b0]",
"xarray/tests/test_computation.py::test_autocov[x-da_a2]",
"xarray/tests/test_computation.py::test_polyval[... | [
"xarray/tests/test_computation.py::test_keep_attrs_strategies_dataarray_variables[no_conflicts-dim]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_dataset_variables[no_conflicts-dim]",
"xarray/tests/test_computation.py::test_keep_attrs_strategies_dataarray_variables[no_conflicts-coord]",
"xar... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "default"
}
]
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 62da8bf1ea2..d07a2741eef 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,9 @@ v0.18.1 (unreleased)\n \n N... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 62da8bf1ea2..d07a2741eef 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,9 @@ v0.18.1 (unreleased)
New Features
~~~~~~~~~~~~
+- allow passing ``combine_attrs`` strategy names to the ``keep_attrs`` parameter of
+ :py:func:`apply_ufunc` (:p... |
pydata/xarray | pydata__xarray-5288 | https://github.com/pydata/xarray/pull/5288 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index d07a2741eef..c95a4eda004 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -27,6 +27,8 @@ New Features
- :py:meth:`Dataset.interp` now allows interpolation with non-numerical datatypes,
such as booleans, instead of dropping them. (:issue:`4761` :pull:... | diff --git a/xarray/tests/test_coding_times.py b/xarray/tests/test_coding_times.py
index 67ffbf147f0..9f8ccf2edcf 100644
--- a/xarray/tests/test_coding_times.py
+++ b/xarray/tests/test_coding_times.py
@@ -823,6 +823,12 @@ def test_encode_cf_datetime_overflow(shape):
roundtrip = decode_cf_datetime(num, units, calen... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex d07a2741eef..c95a4eda004 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -27,6 +27,8 @@ New Features\n - :py:meth:`... | 0018 | 751f76ac95761e18d2bf2b5c7ac3c84bd2ee69ea | [
"xarray/tests/test_coding_times.py::test_encode_cf_datetime_defaults_to_correct_dtype[date_range-L-seconds]",
"xarray/tests/test_coding_times.py::test_cf_datetime[10-days since 2000-01-01-standard]",
"xarray/tests/test_coding_times.py::test_cf_datetime[num_dates29-daYs since 2000-01-01-standard]",
"xarray/te... | [
"xarray/tests/test_coding_times.py::test_encode_cf_datetime_overflow[shape0]",
"xarray/tests/test_coding_times.py::test_encode_cf_datetime_overflow[shape1]",
"xarray/tests/test_coding_times.py::test_encode_cf_datetime_overflow[shape2]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex d07a2741eef..c95a4eda004 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -27,6 +27,8 @@ New Features\n - :py:meth:`... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index d07a2741eef..c95a4eda004 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -27,6 +27,8 @@ New Features
- :py:meth:`Dataset.interp` now allows interpolation with non-numerical datatypes,
such as booleans, instead of dropping them. (:issue:`<PRID>` :pul... |
pydata/xarray | pydata__xarray-5239 | https://github.com/pydata/xarray/pull/5239 | diff --git a/doc/api.rst b/doc/api.rst
index 1bd4eee9b12..fbd0a75bb41 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -292,6 +292,7 @@ DataArray contents
DataArray.swap_dims
DataArray.expand_dims
DataArray.drop_vars
+ DataArray.drop_duplicates
DataArray.reset_coords
DataArray.copy
diff --git a/doc... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index e6c479896e9..8012fad18d0 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -7434,3 +7434,24 @@ def test_clip(da):
# Unclear whether we want this work, OK to adjust the test when we have decided.
... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 1bd4eee9b12..fbd0a75bb41 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -292,6 +292,7 @@ DataArray contents\n DataArray.swap_dims\n DataArray.expand_d... | 0018 | 1305d9b624723b86050ca5b2d854e5326bbaa8e6 | [
"xarray/tests/test_dataarray.py::test_rolling_reduce[numpy-std-2-3-False-1]",
"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-max-4-3-True-2]",
"xarray/tests/test_dataarray.py::TestDataArray::test_groupby_multidim_map",
"xarray/tests/test_dataarray.py::test_coarsen_reduce[dask-std-4-2]",
"xarray/t... | [
"xarray/tests/test_dataarray.py::test_drop_duplicates[last]",
"xarray/tests/test_dataarray.py::test_drop_duplicates[first]",
"xarray/tests/test_dataarray.py::test_drop_duplicates[False]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 1bd4eee9b12..fbd0a75bb41 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -292,6 +292,7 @@ DataArray contents\n DataArray.swap_dims\n DataArray.expand_d... | diff --git a/doc/api.rst b/doc/api.rst
index 1bd4eee9b12..fbd0a75bb41 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -292,6 +292,7 @@ DataArray contents
DataArray.swap_dims
DataArray.expand_dims
DataArray.drop_vars
+ DataArray.drop_duplicates
DataArray.reset_coords
DataArray.copy
diff --git a/do... |
pydata/xarray | pydata__xarray-5560 | https://github.com/pydata/xarray/pull/5560 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 3dad685aaf7..9ac9639b8c1 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,10 @@ v0.19.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Add a option to disable the use of ``bottleneck`` (:pull:`5560`)
+ By `Justus Magin <https://github.com/keewi... | diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py
index 8e39bbdd83e..9b8b7c748f1 100644
--- a/xarray/tests/test_dataset.py
+++ b/xarray/tests/test_dataset.py
@@ -4972,6 +4972,12 @@ def test_rank(self):
with pytest.raises(ValueError, match=r"does not contain"):
x.rank("invali... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 3dad685aaf7..9ac9639b8c1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,10 @@ v0.19.1 (unreleased)\n \n ... | 0020 | 4bb9d9c6df77137f05e85c7cc6508fe7a93dc0e4 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[numpy-median-3-3-False-2]",
"xarray/tests/test_dataset.py::TestDataset::test_reduce_cumsum_test_dims[cumprod-dim3-expected2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[numpy-std-3-1-False-1]",
"xarray/tests/test_dataset.py::TestDataset::test_update"... | [
"xarray/tests/test_missing.py::test_bfill_use_bottleneck_dask",
"xarray/tests/test_variable.py::TestVariable::test_rank_use_bottleneck",
"xarray/tests/test_missing.py::test_bfill_use_bottleneck",
"xarray/tests/test_missing.py::test_ffill_use_bottleneck_dask",
"xarray/tests/test_dataset.py::TestDataset::test... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "RuntimeError"
},
{
"type": "field",
"name": "RuntimeError"
}
]
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 3dad685aaf7..9ac9639b8c1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,10 @@ v0.19.1 (unreleased)\n \n ... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 3dad685aaf7..9ac9639b8c1 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,10 @@ v0.19.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Add a option to disable the use of ``bottleneck`` (:pull:`<PRID>`)
+ By `<NAME>`_.
+- Added ``**kwargs`` argu... |
pydata/xarray | pydata__xarray-4895 | https://github.com/pydata/xarray/pull/4895 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9e59fdc5b35..9c16fb74a7b 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,8 @@ v0.17.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`4895`).
+ By `Justus Magin <https://github... | diff --git a/xarray/tests/test_merge.py b/xarray/tests/test_merge.py
index 27e2b10dcbc..5b84eccca14 100644
--- a/xarray/tests/test_merge.py
+++ b/xarray/tests/test_merge.py
@@ -418,3 +418,34 @@ def test_merge_dataarray(self):
da = xr.DataArray(data=1, name="b")
assert_identical(ds.merge(da), xr.merg... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9e59fdc5b35..9c16fb74a7b 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,8 @@ v0.17.1 (unreleased)\n \n N... | 0018 | 37522e991a32ee3c0ad1a5ff8afe8e3eb1885550 | [
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_no_conflicts",
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_fill_value[fill_value0]",
"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[override-var1_attrs7-var2_attrs7-expected_attrs7-False]",
"xarray/tests/test_merge.... | [
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_combine_attrs[identical-attrs14-attrs24-None-True]",
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_combine_attrs[override-attrs12-attrs22-expected_attrs2-False]",
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_combine_attrs[no_conflic... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9e59fdc5b35..9c16fb74a7b 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,6 +22,8 @@ v0.17.1 (unreleased)\n \n N... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9e59fdc5b35..9c16fb74a7b 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,6 +22,8 @@ v0.17.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow passing ``combine_attrs`` to :py:meth:`Dataset.merge` (:pull:`<PRID>`).
+ By `<NAME>`_.
- Support for `... |
pydata/xarray | pydata__xarray-5247 | https://github.com/pydata/xarray/pull/5247 | diff --git a/doc/api.rst b/doc/api.rst
index da78307a349..7c01a8af0f1 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -683,6 +683,7 @@ Dataset methods
open_rasterio
open_zarr
Dataset.to_netcdf
+ Dataset.to_pandas
Dataset.to_zarr
save_mfdataset
Dataset.to_array
diff --git a/doc/whats-new.rst b/do... | diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py
index b1269369f21..1e526a3787f 100644
--- a/xarray/tests/test_dataset.py
+++ b/xarray/tests/test_dataset.py
@@ -1768,6 +1768,27 @@ def test_broadcast_like(self):
assert_identical(original2.broadcast_like(original1), expected2)
+ de... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex da78307a349..7c01a8af0f1 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -683,6 +683,7 @@ Dataset methods\n open_rasterio\n open_zarr\n Dataset.to_n... | 0018 | 1c198a191127c601d091213c4b3292a8bb3054e1 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-2-False-1]",
"xarray/tests/test_dataset... | [
"xarray/tests/test_dataset.py::TestDataset::test_to_pandas"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex da78307a349..7c01a8af0f1 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -683,6 +683,7 @@ Dataset methods\n open_rasterio\n open_zarr\n Dataset.to_n... | diff --git a/doc/api.rst b/doc/api.rst
index da78307a349..7c01a8af0f1 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -683,6 +683,7 @@ Dataset methods
open_rasterio
open_zarr
Dataset.to_netcdf
+ Dataset.to_pandas
Dataset.to_zarr
save_mfdataset
Dataset.to_array
diff --git a/doc/whats-new.rst b/d... |
pydata/xarray | pydata__xarray-5216 | https://github.com/pydata/xarray/pull/5216 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index bf0a77be7a8..2cffe076792 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -23,6 +23,8 @@ v0.17.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow passing multiple arrays to :py:meth:`Dataset.__setitem__` (:pull:`5216`).
+ By `Giacomo Caria <https://g... | diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py
index af44e5e829e..b1269369f21 100644
--- a/xarray/tests/test_dataset.py
+++ b/xarray/tests/test_dataset.py
@@ -3495,6 +3495,40 @@ def test_setitem_str_dtype(self, dtype):
assert np.issubdtype(ds.x.dtype, dtype)
+ def test_setitem_... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex bf0a77be7a8..2cffe076792 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,8 @@ v0.17.1 (unreleased)\n New ... | 0018 | 26d6ded95a15b563acd7c984e1082457e8bd9561 | [
"xarray/tests/test_dataset.py::TestDataset::test_update",
"xarray/tests/test_dataset.py::TestDataset::test_align_indexes",
"xarray/tests/test_dataset.py::TestDataset::test_dataset_retains_period_index_on_transpose",
"xarray/tests/test_dataset.py::TestDataset::test_constructor_pandas_sequence",
"xarray/tests... | [
"xarray/tests/test_dataset.py::TestDataset::test_setitem_using_list_errors[var_list0-data0-Different lengths]",
"xarray/tests/test_dataset.py::TestDataset::test_setitem_using_list_errors[var_list2-data2-assign single DataArray]",
"xarray/tests/test_dataset.py::TestDataset::test_setitem_using_list",
"xarray/te... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex bf0a77be7a8..2cffe076792 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,6 +23,8 @@ v0.17.1 (unreleased)\n New ... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index bf0a77be7a8..2cffe076792 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -23,6 +23,8 @@ v0.17.1 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow passing multiple arrays to :py:meth:`Dataset.__setitem__` (:pull:`<PRID>`).
+ By `<NAME>`_.
- Add 'cumu... |
pydata/xarray | pydata__xarray-4902 | https://github.com/pydata/xarray/pull/4902 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index ed1d9c0f079..59857c67bf7 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,7 +22,9 @@ v0.17.1 (unreleased)
New Features
~~~~~~~~~~~~
-
+- apply ``combine_attrs`` on data variables and coordinate variables when concatenating
+ and merging datasets... | diff --git a/xarray/tests/test_combine.py b/xarray/tests/test_combine.py
index ebc8ab73604..3b6aaec60f2 100644
--- a/xarray/tests/test_combine.py
+++ b/xarray/tests/test_combine.py
@@ -5,7 +5,14 @@
import numpy as np
import pytest
-from xarray import DataArray, Dataset, combine_by_coords, combine_nested, concat
+fr... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ed1d9c0f079..59857c67bf7 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,7 +22,9 @@ v0.17.1 (unreleased)\n \n N... | 0018 | 7432032db8145d4aed7c01e84870e02ae3838f8a | [
"xarray/tests/test_combine.py::TestNewTileIDs::test_new_tile_id[old_id2-new_id2]",
"xarray/tests/test_concat.py::TestConcatDataset::test_concat_do_not_promote",
"xarray/tests/test_dataset.py::TestDataset::test_update",
"xarray/tests/test_dataset.py::TestDataset::test_align_indexes",
"xarray/tests/test_datas... | [
"xarray/tests/test_combine.py::TestCombineAuto::test_combine_nested_combine_attrs_variables[no_conflicts-attrs13-attrs23-expected_attrs3-True]",
"xarray/tests/test_combine.py::TestCombineAuto::test_combine_nested_combine_attrs_variables[override-attrs17-attrs27-expected_attrs7-False]",
"xarray/tests/test_combin... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ed1d9c0f079..59857c67bf7 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -22,7 +22,9 @@ v0.17.1 (unreleased)\n \n N... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index ed1d9c0f079..59857c67bf7 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -22,7 +22,9 @@ v0.17.1 (unreleased)
New Features
~~~~~~~~~~~~
-
+- apply ``combine_attrs`` on data variables and coordinate variables when concatenating
+ and merging datasets... |
pydata/xarray | pydata__xarray-5586 | https://github.com/pydata/xarray/pull/5586 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index cd65e0dbe35..02e3e1ac824 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,9 @@ v0.18.3 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow passing argument ``missing_dims`` to :py:meth:`Variable.transpose` and :py:meth:`Dataset.transpose`
+ (:... | diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py
index b08ce9ea730..317602c889f 100644
--- a/xarray/tests/test_dataset.py
+++ b/xarray/tests/test_dataset.py
@@ -5195,10 +5195,19 @@ def test_dataset_transpose(self):
expected_dims = tuple(d for d in new_order if d in ds[k].dims)
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd65e0dbe35..02e3e1ac824 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,9 @@ v0.18.3 (unreleased)\n \n N... | 0019 | 67d1955cc1d6941edd12a325090da7e4d029b84c | [
"xarray/tests/test_dataset.py::test_rolling_reduce[numpy-median-3-3-False-2]",
"xarray/tests/test_dataset.py::TestDataset::test_reduce_cumsum_test_dims[cumprod-dim3-expected2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[numpy-std-3-1-False-1]",
"xarray/tests/test_dataset.py::TestDataset::test_update"... | [
"xarray/tests/test_dataset.py::TestDataset::test_dataset_transpose",
"xarray/tests/test_variable.py::TestVariable::test_transpose"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd65e0dbe35..02e3e1ac824 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -21,6 +21,9 @@ v0.18.3 (unreleased)\n \n N... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index cd65e0dbe35..02e3e1ac824 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -21,6 +21,9 @@ v0.18.3 (unreleased)
New Features
~~~~~~~~~~~~
+- Allow passing argument ``missing_dims`` to :py:meth:`Variable.transpose` and :py:meth:`Dataset.transpose`
+ (:... |
pydata/xarray | pydata__xarray-4622 | https://github.com/pydata/xarray/pull/4622 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 1df9cc0a1f9..15d4759e9e0 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -324,14 +324,21 @@
core.accessor_dt.TimedeltaAccessor.seconds
core.accessor_str.StringAccessor.capitalize
+ core.accessor_str.StringAccessor.casefold
+ core.acces... | diff --git a/xarray/tests/test_accessor_str.py b/xarray/tests/test_accessor_str.py
index e0cbdb7377a..519ca762c41 100644
--- a/xarray/tests/test_accessor_str.py
+++ b/xarray/tests/test_accessor_str.py
@@ -44,7 +44,7 @@
import xarray as xr
-from . import assert_equal, requires_dask
+from . import assert_equal, asse... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 1df9cc0a1f9..15d4759e9e0 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -324,14 +324,21 @@\n core.access... | 0018 | c195c2636a94b8136050d2c79c8e357740db66ea | [
"xarray/tests/test_accessor_str.py::test_strip_lstrip_rstrip[bytes_]",
"xarray/tests/test_accessor_str.py::test_get_default[bytes_]",
"xarray/tests/test_accessor_str.py::test_slice_replace[str_]",
"xarray/tests/test_accessor_str.py::test_find[bytes_]",
"xarray/tests/test_accessor_str.py::test_len[str_]",
... | [
"xarray/tests/test_accessor_str.py::test_findall_single_multi_case[str_]",
"xarray/tests/test_accessor_str.py::test_splitters_empty_str[bytes_]",
"xarray/tests/test_accessor_str.py::test_zfill_broadcast[bytes_]",
"xarray/tests/test_accessor_str.py::test_strip_lstrip_rstrip_broadcast[str_]",
"xarray/tests/te... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "error_msg",
"name": "Case cannot be set when pat is a compiled regex."
},
{
"type": "field",
"... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 1df9cc0a1f9..15d4759e9e0 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -324,14 +324,21 @@\n core.access... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 1df9cc0a1f9..15d4759e9e0 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -324,14 +324,21 @@
core.accessor_dt.TimedeltaAccessor.seconds
core.accessor_str.StringAccessor.capitalize
+ core.accessor_str.StringAccessor.casefold
+ core.acces... |
pydata/xarray | pydata__xarray-4994 | https://github.com/pydata/xarray/pull/4994 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 15d4759e9e0..f5e9348d4eb 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -287,6 +287,7 @@
core.accessor_dt.DatetimeAccessor.floor
core.accessor_dt.DatetimeAccessor.round
core.accessor_dt.DatetimeAccessor.strftime
+ core.accessor_dt.Dat... | diff --git a/xarray/tests/test_accessor_dt.py b/xarray/tests/test_accessor_dt.py
index 984bfc763bc..adfa2bed33b 100644
--- a/xarray/tests/test_accessor_dt.py
+++ b/xarray/tests/test_accessor_dt.py
@@ -59,6 +59,8 @@ def setup(self):
"weekday",
"dayofyear",
"quarter",
+ "... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 15d4759e9e0..f5e9348d4eb 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -287,6 +287,7 @@\n core.accessor... | 0018 | c7c4aae1fa2bcb9417e498e7dcb4acc0792c402d | [
"xarray/tests/test_accessor_dt.py::test_dask_field_access_1d[proleptic_gregorian-month]",
"xarray/tests/test_accessor_dt.py::test_cftime_round_accessor[all_leap-True]",
"xarray/tests/test_accessor_dt.py::test_dask_field_access[gregorian-dayofyear]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::tes... | [
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_dask_field_access[date]",
"xarray/tests/test_accessor_dt.py::test_date_cftime[365_day]",
"xarray/tests/test_accessor_dt.py::test_date_cftime[proleptic_gregorian]",
"xarray/tests/test_accessor_dt.py::test_date_cftime[360_day]",
"xarray/tests/test_... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex 15d4759e9e0..f5e9348d4eb 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -287,6 +287,7 @@\n core.accessor... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index 15d4759e9e0..f5e9348d4eb 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -287,6 +287,7 @@
core.accessor_dt.DatetimeAccessor.floor
core.accessor_dt.DatetimeAccessor.round
core.accessor_dt.DatetimeAccessor.strftime
+ core.accessor_dt.Dat... |
pydata/xarray | pydata__xarray-5126 | https://github.com/pydata/xarray/pull/5126 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 403227b1b6b..e22805b0342 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -82,6 +82,13 @@ New Features
- Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`5083`). By `Baudouin Raoult <https://github.com/b8raoult>`_.
- Added... | diff --git a/xarray/tests/test_formatting.py b/xarray/tests/test_formatting.py
index 1098587dca7..1e2a968debe 100644
--- a/xarray/tests/test_formatting.py
+++ b/xarray/tests/test_formatting.py
@@ -391,6 +391,17 @@ def test_array_repr(self):
assert actual == expected
+ with xr.set_options(display_exp... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 403227b1b6b..e22805b0342 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -82,6 +82,13 @@ New Features\n - Disable t... | 0018 | 6bfbaede69eb73810cb63672a8161bd1fc147594 | [
"xarray/tests/test_formatting_html.py::test_repr_of_multiindex",
"xarray/tests/test_formatting.py::TestFormatting::test_diff_attrs_repr_with_array",
"xarray/tests/test_formatting_html.py::test_format_dims_unsafe_dim_name",
"xarray/tests/test_formatting.py::TestFormatting::test_format_timestamp_out_of_bounds",... | [
"xarray/tests/test_formatting.py::test__mapping_repr[35-40-30]",
"xarray/tests/test_formatting.py::test__mapping_repr[11-40-30]",
"xarray/tests/test_formatting.py::TestFormatting::test_array_repr",
"xarray/tests/test_formatting.py::test__mapping_repr[50-40-30]",
"xarray/tests/test_formatting.py::test__mappi... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 403227b1b6b..e22805b0342 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -82,6 +82,13 @@ New Features\n - Disable t... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 403227b1b6b..e22805b0342 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -82,6 +82,13 @@ New Features
- Disable the `cfgrib` backend if the `eccodes` library is not installed (:pull:`<PRID>`). By `<NAME>`_.
- Added :py:meth:`DataArray.curvefit` and :p... |
pydata/xarray | pydata__xarray-4984 | https://github.com/pydata/xarray/pull/4984 | diff --git a/ci/requirements/environment.yml b/ci/requirements/environment.yml
index 36147c64c03..57498fa5700 100644
--- a/ci/requirements/environment.yml
+++ b/ci/requirements/environment.yml
@@ -22,6 +22,7 @@ dependencies:
- nc-time-axis
- netcdf4
- numba
+ - numexpr
- numpy
- pandas
- pint
diff --... | diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py
index 4b47e1d2c7e..aebcb0f2b8d 100644
--- a/xarray/tests/__init__.py
+++ b/xarray/tests/__init__.py
@@ -83,6 +83,7 @@ def LooseVersion(vstring):
has_cartopy, requires_cartopy = _importorskip("cartopy")
# Need Pint 0.15 for __dask_tokenize__ tests for Qu... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 7e13c2feefe..4af9bb01208 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -138,6 +138,7 @@ Indexing\n Dataset.set_index\n Dataset.reset_index\n Datas... | 0018 | daea5df23209e8b7148067fd6272e2eed9f40bf1 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-2-3-True-2]",
"xarray/tests/test_accessor... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_query[numpy-None-python]",
"xarray/tests/test_dataset.py::TestDataset::test_query[numpy-python-python]",
"xarray/tests/test_dataarray.py::TestDataArray::test_query[numpy-python-pandas]",
"xarray/tests/test_dataarray.py::TestDataArray::test_query[numpy-None-... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "parser"
},
{
"type": "field",
"name": "parser"
},
{
"type": "fi... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 7e13c2feefe..4af9bb01208 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -138,6 +138,7 @@ Indexing\n Dataset.set_index\n Dataset.reset_index\n Datas... | diff --git a/doc/api.rst b/doc/api.rst
index 7e13c2feefe..4af9bb01208 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -138,6 +138,7 @@ Indexing
Dataset.set_index
Dataset.reset_index
Dataset.reorder_levels
+ Dataset.query
Missing value handling
----------------------
@@ -321,6 +322,7 @@ Indexing
Data... |
pydata/xarray | pydata__xarray-4849 | https://github.com/pydata/xarray/pull/4849 | diff --git a/doc/api.rst b/doc/api.rst
index a140d9e2b81..6288ce01803 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -179,6 +179,7 @@ Computation
Dataset.integrate
Dataset.map_blocks
Dataset.polyfit
+ Dataset.curvefit
**Aggregation**:
:py:attr:`~Dataset.all`
@@ -375,7 +376,7 @@ Computation
DataArra... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 20e357543d6..c18f9acfca1 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -4690,6 +4690,60 @@ def test_query(self, backend, engine, parser):
with pytest.raises(UndefinedVariableError):
... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex a140d9e2b81..6288ce01803 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -179,6 +179,7 @@ Computation\n Dataset.integrate\n Dataset.map_blocks\n Dat... | 0018 | ba47216ec1cd2f170fd85a10f232be7bf3ecc578 | [
"xarray/tests/test_dataarray.py::test_rolling_reduce[mean-4-None-True-2]",
"xarray/tests/test_dataarray.py::TestDataArray::test_groupby_multidim_map",
"xarray/tests/test_dataarray.py::TestDataArray::test_coord_coords",
"xarray/tests/test_dataarray.py::test_rolling_reduce[max-2-1-False-2]",
"xarray/tests/tes... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_curvefit_helpers"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "func_args"
},
{
"type": "field",
"name": "param_defaults"
},
{
... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex a140d9e2b81..6288ce01803 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -179,6 +179,7 @@ Computation\n Dataset.integrate\n Dataset.map_blocks\n Dat... | diff --git a/doc/api.rst b/doc/api.rst
index a140d9e2b81..6288ce01803 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -179,6 +179,7 @@ Computation
Dataset.integrate
Dataset.map_blocks
Dataset.polyfit
+ Dataset.curvefit
**Aggregation**:
:py:attr:`~Dataset.all`
@@ -375,7 +376,7 @@ Computation
DataArra... |
pydata/xarray | pydata__xarray-4827 | https://github.com/pydata/xarray/pull/4827 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 4300f1b188a..b59ed6363dc 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -60,6 +60,10 @@ New Features
By `Maximilian Roos <https://github.com/max-sixty>`_.
- Performance improvement when constructing DataArrays. Significantly speeds up repr for Da... | diff --git a/xarray/tests/test_combine.py b/xarray/tests/test_combine.py
index 109b78f05a9..522b98cf864 100644
--- a/xarray/tests/test_combine.py
+++ b/xarray/tests/test_combine.py
@@ -732,6 +732,17 @@ def test_combine_coords_combine_attrs_identical(self):
objs, concat_dim="x", join="outer", combine_at... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4300f1b188a..b59ed6363dc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -60,6 +60,10 @@ New Features\n By `Maxim... | 0017 | f98d6f065db2ad1f8911cb22aa04b4e0210ecee4 | [
"xarray/tests/test_merge.py::TestMergeMethod::test_merge_no_conflicts",
"xarray/tests/test_concat.py::TestConcatDataset::test_concat_combine_attrs_kwarg[no_conflicts-var1_attrs2-var2_attrs2-expected_attrs2-False]",
"xarray/tests/test_concat.py::TestConcatDataset::test_concat_combine_attrs_kwarg[no_conflicts-var... | [
"xarray/tests/test_merge.py::TestMergeFunction::test_merge_attrs_drop_conflicts",
"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[drop_conflicts-var1_attrs9-var2_attrs9-expected_attrs9-False]",
"xarray/tests/test_merge.py::TestMergeFunction::test_merge_arrays_attrs[drop_conflicts-var1_at... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 4300f1b188a..b59ed6363dc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -60,6 +60,10 @@ New Features\n By `<NAME... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 4300f1b188a..b59ed6363dc 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -60,6 +60,10 @@ New Features
By `<NAME>`_.
- Performance improvement when constructing DataArrays. Significantly speeds up repr for Datasets with large number of variables.
+... |
pydata/xarray | pydata__xarray-5174 | https://github.com/pydata/xarray/pull/5174 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index ebbfc87b4d3..04fd567941f 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -99,6 +99,9 @@ New Features
:py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.
Fixes (:issue:`5230`).
By `Tom Nicholas <https://github.com/TomNichol... | diff --git a/xarray/tests/test_dask.py b/xarray/tests/test_dask.py
index 032e81737e1..8b875662ab8 100644
--- a/xarray/tests/test_dask.py
+++ b/xarray/tests/test_dask.py
@@ -110,8 +110,39 @@ def test_indexing(self):
self.assertLazyAndIdentical(u[0], v[0])
self.assertLazyAndIdentical(u[:1], v[:1])
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ebbfc87b4d3..04fd567941f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -99,6 +99,9 @@ New Features\n :py:func:`... | 0018 | 01b6cc76c6b7c77f2f93fc1766eb76f851529b5d | [
"xarray/tests/test_dask.py::test_token_identical[obj0-<lambda>1]",
"xarray/tests/test_dask.py::test_token_changes_when_buffer_changes[obj0]",
"xarray/tests/test_dask.py::test_unify_chunks_shallow_copy[<lambda>0-obj1]",
"xarray/tests/test_dask.py::TestVariable::test_compute",
"xarray/tests/test_dask.py::test... | [
"xarray/tests/test_dask.py::TestVariable::test_indexing"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex ebbfc87b4d3..04fd567941f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -99,6 +99,9 @@ New Features\n :py:func:`... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index ebbfc87b4d3..04fd567941f 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -99,6 +99,9 @@ New Features
:py:func:`xarray.open_mfdataset` when `combine='by_coords'` is specified.
Fixes (:issue:`<PRID>`).
By `<NAME>`_.
+- Implement ``__setitem__`` f... |
pydata/xarray | pydata__xarray-4758 | https://github.com/pydata/xarray/pull/4758 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index f619284437b..ac326342115 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -52,6 +52,13 @@ Deprecations
New Features
~~~~~~~~~~~~
+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O
+ roundtripping of ``cftime.datetime`... | diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py
index 7c18f1a8c8a..a7761aefa3d 100644
--- a/xarray/tests/__init__.py
+++ b/xarray/tests/__init__.py
@@ -68,6 +68,7 @@ def LooseVersion(vstring):
has_pseudonetcdf, requires_pseudonetcdf = _importorskip("PseudoNetCDF")
has_cftime, requires_cftime = _impor... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex f619284437b..ac326342115 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -52,6 +52,13 @@ Deprecations\n \n New Feat... | 0017 | 46591d28d9fbbfc184aaf4075d330b1c8f070627 | [
"xarray/tests/test_accessor_dt.py::test_cftime_round_accessor[all_leap-True]",
"xarray/tests/test_coding_times.py::test_use_cftime_true[1500-standard]",
"xarray/tests/test_coding_times.py::test_cf_datetime[num_dates50-days since 1000-01-01-standard]",
"xarray/tests/test_coding_times.py::test_decode_ambiguous_... | [
"xarray/tests/test_cftime_offsets.py::test_rollforward[360_day-<MonthBegin: n=2>-(1, 3, 2)-(1, 4)]",
"xarray/tests/test_cftime_offsets.py::test_add_year_end_onOffset[standard-(1, 1)-()-<YearEnd: n=1, month=2>-(1, 2)-()]",
"xarray/tests/test_cftime_offsets.py::test_add_year_end[all_leap-(1, 1, 1)-<YearEnd: n=1, ... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "timedelta"
},
{
"type": "class",
"name": "Millisecond"
},
{
"ty... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex f619284437b..ac326342115 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -52,6 +52,13 @@ Deprecations\n \n New Feat... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index f619284437b..ac326342115 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -52,6 +52,13 @@ Deprecations
New Features
~~~~~~~~~~~~
+- Xarray now leverages updates as of cftime version 1.4.1, which enable exact I/O
+ roundtripping of ``cftime.datetime`... |
pydata/xarray | pydata__xarray-4534 | https://github.com/pydata/xarray/pull/4534 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index b10271b13f5..5d9a0263c35 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -298,6 +298,7 @@
core.accessor_dt.DatetimeAccessor.is_quarter_start
core.accessor_dt.DatetimeAccessor.is_year_end
core.accessor_dt.DatetimeAccessor.is_year_start
+ ... | diff --git a/xarray/tests/test_accessor_dt.py b/xarray/tests/test_accessor_dt.py
index ae5b0b6d7cf..984bfc763bc 100644
--- a/xarray/tests/test_accessor_dt.py
+++ b/xarray/tests/test_accessor_dt.py
@@ -1,3 +1,5 @@
+from distutils.version import LooseVersion
+
import numpy as np
import pandas as pd
import pytest
@@ -6... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex b10271b13f5..5d9a0263c35 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -298,6 +298,7 @@\n core.accessor... | 0016 | 764ffc95af41602b7ba216bad4be438330c3dc45 | [
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[month]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[nanosecond]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[year]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccesso... | [
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[week-week]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_isocalendar[year-year]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_field_access[week]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccess... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "distutils"
},
{
"type": "field",
"name": "__version__"
},
{
"ty... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex b10271b13f5..5d9a0263c35 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -298,6 +298,7 @@\n core.accessor... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index b10271b13f5..5d9a0263c35 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -298,6 +298,7 @@
core.accessor_dt.DatetimeAccessor.is_quarter_start
core.accessor_dt.DatetimeAccessor.is_year_end
core.accessor_dt.DatetimeAccessor.is_year_start
+ ... |
pydata/xarray | pydata__xarray-5568 | https://github.com/pydata/xarray/pull/5568 | diff --git a/doc/api.rst b/doc/api.rst
index bb3a99bfbb0..0e34b13f9a5 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -686,6 +686,7 @@ Dataset methods
open_zarr
Dataset.to_netcdf
Dataset.to_pandas
+ Dataset.as_numpy
Dataset.to_zarr
save_mfdataset
Dataset.to_array
@@ -716,6 +717,8 @@ DataArray me... | diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py
index 9029dc1c621..d757fb451cc 100644
--- a/xarray/tests/__init__.py
+++ b/xarray/tests/__init__.py
@@ -83,6 +83,7 @@ def LooseVersion(vstring):
has_numbagg, requires_numbagg = _importorskip("numbagg")
has_seaborn, requires_seaborn = _importorskip("seab... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex bb3a99bfbb0..0e34b13f9a5 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -686,6 +686,7 @@ Dataset methods\n open_zarr\n Dataset.to_netcdf\n Dataset.... | 0019 | 86ca67ed67dbf605b50c682fa374471c012a3e35 | [
"xarray/tests/test_dataarray.py::test_drop_duplicates[last]",
"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-max-4-3-True-2]",
"xarray/tests/test_accessor_dt.py::TestDatetimeAccessor::test_dask_field_access[quarter]",
"xarray/tests/test_dataset.py::test_ndrolling_reduce[numpy-False-max-None-True-2]... | [
"xarray/tests/test_variable.py::TestNumpyCoercion::test_from_numpy[IndexVariable]",
"xarray/tests/test_dataset.py::TestNumpyCoercion::test_from_dask",
"xarray/tests/test_dataarray.py::TestNumpyCoercion::test_from_dask",
"xarray/tests/test_dataset.py::TestNumpyCoercion::test_from_numpy",
"xarray/tests/test_v... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "Quantity"
}
]
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex bb3a99bfbb0..0e34b13f9a5 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -686,6 +686,7 @@ Dataset methods\n open_zarr\n Dataset.to_netcdf\n Dataset.... | diff --git a/doc/api.rst b/doc/api.rst
index bb3a99bfbb0..0e34b13f9a5 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -686,6 +686,7 @@ Dataset methods
open_zarr
Dataset.to_netcdf
Dataset.to_pandas
+ Dataset.as_numpy
Dataset.to_zarr
save_mfdataset
Dataset.to_array
@@ -716,6 +717,8 @@ DataArray me... |
pydata/xarray | pydata__xarray-4819 | https://github.com/pydata/xarray/pull/4819 | diff --git a/doc/api.rst b/doc/api.rst
index ceab7dcc976..9cb02441d37 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -126,6 +126,7 @@ Indexing
Dataset.isel
Dataset.sel
Dataset.drop_sel
+ Dataset.drop_isel
Dataset.head
Dataset.tail
Dataset.thin
@@ -307,6 +308,7 @@ Indexing
DataArray.isel
... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 3ead427e22e..afb234029dc 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -2327,6 +2327,12 @@ def test_drop_index_labels(self):
with pytest.warns(DeprecationWarning):
arr.drop([0, ... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex ceab7dcc976..9cb02441d37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -126,6 +126,7 @@ Indexing\n Dataset.isel\n Dataset.sel\n Dataset.drop_sel\n... | 0017 | a2b1712afd957deaf189c9b1a04e469596d853c9 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-2-3-True-2]",
"xarray/tests/test_dataset.... | [
"xarray/tests/test_dataset.py::TestDataset::test_drop_index_labels",
"xarray/tests/test_dataset.py::TestDataset::test_drop_labels_by_position",
"xarray/tests/test_dataarray.py::TestDataArray::test_drop_index_positions"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex ceab7dcc976..9cb02441d37 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -126,6 +126,7 @@ Indexing\n Dataset.isel\n Dataset.sel\n Dataset.drop_sel\n... | diff --git a/doc/api.rst b/doc/api.rst
index ceab7dcc976..9cb02441d37 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -126,6 +126,7 @@ Indexing
Dataset.isel
Dataset.sel
Dataset.drop_sel
+ Dataset.drop_isel
Dataset.head
Dataset.tail
Dataset.thin
@@ -307,6 +308,7 @@ Indexing
DataArray.isel
... |
pydata/xarray | pydata__xarray-4939 | https://github.com/pydata/xarray/pull/4939 | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index e5492ec73a4..14d79039a3a 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -47,6 +47,7 @@
core.rolling.DatasetCoarsen.median
core.rolling.DatasetCoarsen.min
core.rolling.DatasetCoarsen.prod
+ core.rolling.DatasetCoarsen.reduce
core.r... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 68e31cd123a..d1d36dd93b3 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -6382,6 +6382,22 @@ def test_coarsen_keep_attrs():
xr.testing.assert_identical(da, da2)
+@pytest.mark.parametrize("da",... | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex e5492ec73a4..14d79039a3a 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -47,6 +47,7 @@\n core.rolling.Da... | 0017 | eb7e112d45a9edebd8e5fb4f873e3e6adb18824a | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-2-3-True-2]",
"xarray/tests/test_dataset.... | [
"xarray/tests/test_dataarray.py::test_coarsen_reduce[std-4-2]",
"xarray/tests/test_dataset.py::test_coarsen_reduce[max-1-1]",
"xarray/tests/test_dataset.py::test_coarsen_reduce[mean-3-1]",
"xarray/tests/test_dataset.py::test_coarsen_reduce[sum-2-2]",
"xarray/tests/test_dataarray.py::test_coarsen_reduce[mean... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api-hidden.rst",
"old_path": "a/doc/api-hidden.rst",
"new_path": "b/doc/api-hidden.rst",
"metadata": "diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst\nindex e5492ec73a4..14d79039a3a 100644\n--- a/doc/api-hidden.rst\n+++ b/doc/api-hidden.rst\n@@ -47,6 +47,7 @@\n core.rolling.Da... | diff --git a/doc/api-hidden.rst b/doc/api-hidden.rst
index e5492ec73a4..14d79039a3a 100644
--- a/doc/api-hidden.rst
+++ b/doc/api-hidden.rst
@@ -47,6 +47,7 @@
core.rolling.DatasetCoarsen.median
core.rolling.DatasetCoarsen.min
core.rolling.DatasetCoarsen.prod
+ core.rolling.DatasetCoarsen.reduce
core.r... |
pydata/xarray | pydata__xarray-4356 | https://github.com/pydata/xarray/pull/4356 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 2652af5d9fd..901e2f7f281 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -28,8 +28,11 @@ New Features
- Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`1815`, :pull:`4060`)
By `Kai Mühlbauer <ht... | diff --git a/xarray/tests/test_duck_array_ops.py b/xarray/tests/test_duck_array_ops.py
index b542dad998b..6db0b6eef87 100644
--- a/xarray/tests/test_duck_array_ops.py
+++ b/xarray/tests/test_duck_array_ops.py
@@ -595,6 +595,24 @@ def test_min_count(dim_num, dtype, dask, func, aggdim):
assert_dask_array(actual, das... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2652af5d9fd..901e2f7f281 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,8 +28,11 @@ New Features\n - Support m... | 0016 | e05fddea852d08fc0845f954b79deb9e9f9ff883 | [
"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-var-False-float-2]",
"xarray/tests/test_duck_array_ops.py::test_reduce[x-True-max-False-bool_-2]",
"xarray/tests/test_duck_array_ops.py::TestArrayNotNullEquiv::test_equal[arr10-arr20]",
"xarray/tests/test_duck_array_ops.py::test_reduce[x-True-sum-Fa... | [
"xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-int]",
"xarray/tests/test_duck_array_ops.py::test_min_count_nd[sum-False-float]",
"xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-float32]",
"xarray/tests/test_duck_array_ops.py::test_min_count_nd[prod-False-bool_]",
"xarr... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2652af5d9fd..901e2f7f281 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,8 +28,11 @@ New Features\n - Support m... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 2652af5d9fd..901e2f7f281 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -28,8 +28,11 @@ New Features
- Support multiple outputs in :py:func:`xarray.apply_ufunc` when using ``dask='parallelized'``. (:issue:`<PRID>`, :pull:`<PRID>`)
By `<NAME>`_.
- ... |
pydata/xarray | pydata__xarray-4333 | https://github.com/pydata/xarray/pull/4333 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 2023b79dbb5..ee26842ba95 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -45,6 +45,10 @@ New Features
of :py:class:`DataArray` and :py:class:`Dataset` objects and
document the new method in :doc:`internals`. (:pull:`4248`).
By `Justus Magin <ht... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index f10404d71d4..84455d320cb 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -3463,15 +3463,18 @@ def test_to_pandas(self):
def test_to_dataframe(self):
# regression test for #260
- ... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2023b79dbb5..ee26842ba95 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:cl... | 0016 | 8fab5a2449d8368251f96fc2b9d1eaa3040894e6 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-False-1]",
"xarray/tests/test_dataset.py::TestDataset::test_to_and_from_empty_dataframe",
"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-None-None-var]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-False-2]",
"... | [
"xarray/tests/test_dataset.py::TestDataset::test_to_and_from_dataframe"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 2023b79dbb5..ee26842ba95 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,6 +45,10 @@ New Features\n of :py:cl... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 2023b79dbb5..ee26842ba95 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -45,6 +45,10 @@ New Features
of :py:class:`DataArray` and :py:class:`Dataset` objects and
document the new method in :doc:`internals`. (:pull:`<PRID>`).
By `<NAME>`_.
+- :... |
pydata/xarray | pydata__xarray-4343 | https://github.com/pydata/xarray/pull/4343 | diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst
index f03dfd14c73..9a92a1842d3 100644
--- a/doc/weather-climate.rst
+++ b/doc/weather-climate.rst
@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .
For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray... | diff --git a/xarray/tests/test_cftime_offsets.py b/xarray/tests/test_cftime_offsets.py
index 343e059f53c..3efcf8039c6 100644
--- a/xarray/tests/test_cftime_offsets.py
+++ b/xarray/tests/test_cftime_offsets.py
@@ -970,6 +970,15 @@ def test_rollback(calendar, offset, initial_date_args, partial_expected_date_arg
... | [
{
"path": "doc/weather-climate.rst",
"old_path": "a/doc/weather-climate.rst",
"new_path": "b/doc/weather-climate.rst",
"metadata": "diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\nindex f03dfd14c73..9a92a1842d3 100644\n--- a/doc/weather-climate.rst\n+++ b/doc/weather-climate.rst\n@@ ... | 0016 | e6c111355137a123488c8dad48d473b32e9e5366 | [] | [
"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[month]",
"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[minute]",
"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[hour-dash]",
"xarray/tests/test_cftimeindex.py::test_parse_iso8601_like[second-dash]",
"xarray/tests/test_cftime... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "function",
"name": "parse_iso8601_like"
},
{
"type": "field",
"name": "parse_iso8601_like"
... | [
{
"path": "doc/weather-climate.rst",
"old_path": "a/doc/weather-climate.rst",
"new_path": "b/doc/weather-climate.rst",
"metadata": "diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst\nindex f03dfd14c73..9a92a1842d3 100644\n--- a/doc/weather-climate.rst\n+++ b/doc/weather-climate.rst\n@@ ... | diff --git a/doc/weather-climate.rst b/doc/weather-climate.rst
index f03dfd14c73..9a92a1842d3 100644
--- a/doc/weather-climate.rst
+++ b/doc/weather-climate.rst
@@ -97,14 +97,25 @@ using the same formatting as the standard `datetime.strftime`_ convention .
For data indexed by a :py:class:`~xarray.CFTimeIndex` xarray... |
pydata/xarray | pydata__xarray-5184 | https://github.com/pydata/xarray/pull/5184 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 87834d2e676..dd1db41fe23 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -71,6 +71,10 @@ New Features
By `Richard Kleijn <https://github.com/rhkleijn>`_ .
- Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`4971`).
By `Justus... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index c18f9acfca1..accb601fc1b 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -6434,28 +6434,43 @@ def test_idxminmax_dask(self, op, ndim):
assert_equal(getattr(ar0_dsk, op)(dim="x"), getattr(ar0_r... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 87834d2e676..dd1db41fe23 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -71,6 +71,10 @@ New Features\n By `Richa... | 0018 | e0358e586079c12525ce60c4a51b591dc280713b | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataarray.py::test_rolling_reduce[dask-max-4-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests/test_d... | [
"xarray/tests/test_dataset.py::test_clip[1]",
"xarray/tests/test_dataarray.py::test_clip[1-dask]",
"xarray/tests/test_variable.py::test_clip",
"xarray/tests/test_dataarray.py::test_clip[1-numpy]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "min"
}
]
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 87834d2e676..dd1db41fe23 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -71,6 +71,10 @@ New Features\n By `<NAME... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 87834d2e676..dd1db41fe23 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -71,6 +71,10 @@ New Features
By `<NAME>`_ .
- Add a ``combine_attrs`` parameter to :py:func:`open_mfdataset` (:pull:`<PRID>`).
By `<NAME>`_.
+- Enable passing arrays with a ... |
pydata/xarray | pydata__xarray-4219 | https://github.com/pydata/xarray/pull/4219 | diff --git a/doc/computation.rst b/doc/computation.rst
index 3660aed93ed..474c3905981 100644
--- a/doc/computation.rst
+++ b/doc/computation.rst
@@ -188,9 +188,16 @@ a value when aggregating:
r = arr.rolling(y=3, center=True, min_periods=2)
r.mean()
+From version 0.17, xarray supports multidimensional rolli... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index e0da3f1527f..7ccf1eb14bc 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -6193,8 +6193,6 @@ def test_rolling_properties(da):
assert rolling_obj.obj.get_axis_num("time") == 1
# catching inva... | [
{
"path": "doc/computation.rst",
"old_path": "a/doc/computation.rst",
"new_path": "b/doc/computation.rst",
"metadata": "diff --git a/doc/computation.rst b/doc/computation.rst\nindex 3660aed93ed..474c3905981 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -188,9 +188,16 @@ a value wh... | 0016 | e04e21d6160f43bc44e999b6f54f9fe4682f9b81 | [
"xarray/tests/test_dataset.py::TestDataset::test_update",
"xarray/tests/test_dataset.py::TestDataset::test_align_indexes",
"xarray/tests/test_dataset.py::TestDataset::test_dataset_retains_period_index_on_transpose",
"xarray/tests/test_dataset.py::TestDataset::test_constructor_pandas_sequence",
"xarray/tests... | [
"xarray/tests/test_dataset.py::test_ndrolling_construct[True-0.0-False]",
"xarray/tests/test_dataset.py::test_ndrolling_reduce[False-sum-None-True-2]",
"xarray/tests/test_dataset.py::test_ndrolling_reduce[True-max-None-False-2]",
"xarray/tests/test_nputils.py::test_nd_rolling[axis0-center1]",
"xarray/tests/... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "zip"
},
{
"type": "field",
"name": "ax"
},
{
"type": "field",
... | [
{
"path": "doc/computation.rst",
"old_path": "a/doc/computation.rst",
"new_path": "b/doc/computation.rst",
"metadata": "diff --git a/doc/computation.rst b/doc/computation.rst\nindex 3660aed93ed..474c3905981 100644\n--- a/doc/computation.rst\n+++ b/doc/computation.rst\n@@ -188,9 +188,16 @@ a value wh... | diff --git a/doc/computation.rst b/doc/computation.rst
index 3660aed93ed..474c3905981 100644
--- a/doc/computation.rst
+++ b/doc/computation.rst
@@ -188,9 +188,16 @@ a value when aggregating:
r = arr.rolling(y=3, center=True, min_periods=2)
r.mean()
+From version 0.17, xarray supports multidimensional rolli... |
pydata/xarray | pydata__xarray-4248 | https://github.com/pydata/xarray/pull/4248 | diff --git a/doc/internals.rst b/doc/internals.rst
index 46c117e312b..b158f12ac6d 100644
--- a/doc/internals.rst
+++ b/doc/internals.rst
@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables
<xarray.Dataset.variables>` and
:py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes... | diff --git a/xarray/tests/test_formatting.py b/xarray/tests/test_formatting.py
index 82de8080c80..1cc91266421 100644
--- a/xarray/tests/test_formatting.py
+++ b/xarray/tests/test_formatting.py
@@ -7,6 +7,7 @@
import xarray as xr
from xarray.core import formatting
+from xarray.core.npcompat import IS_NEP18_ACTIVE
... | [
{
"path": "doc/internals.rst",
"old_path": "a/doc/internals.rst",
"new_path": "b/doc/internals.rst",
"metadata": "diff --git a/doc/internals.rst b/doc/internals.rst\nindex 46c117e312b..b158f12ac6d 100644\n--- a/doc/internals.rst\n+++ b/doc/internals.rst\n@@ -42,6 +42,38 @@ xarray objects via the (re... | 0016 | 98dc1f4ea18738492e074e9e51ddfed5cd30ab94 | [
"xarray/tests/test_formatting.py::TestFormatting::test_diff_attrs_repr_with_array",
"xarray/tests/test_formatting.py::TestFormatting::test_format_timestamp_out_of_bounds",
"xarray/tests/test_formatting.py::test_large_array_repr_length",
"xarray/tests/test_formatting.py::test_short_numpy_repr",
"xarray/tests... | [
"xarray/tests/test_formatting.py::test_inline_variable_array_repr_custom_repr"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/internals.rst",
"old_path": "a/doc/internals.rst",
"new_path": "b/doc/internals.rst",
"metadata": "diff --git a/doc/internals.rst b/doc/internals.rst\nindex 46c117e312b..b158f12ac6d 100644\n--- a/doc/internals.rst\n+++ b/doc/internals.rst\n@@ -42,6 +42,38 @@ xarray objects via the (re... | diff --git a/doc/internals.rst b/doc/internals.rst
index 46c117e312b..b158f12ac6d 100644
--- a/doc/internals.rst
+++ b/doc/internals.rst
@@ -42,6 +42,38 @@ xarray objects via the (readonly) :py:attr:`Dataset.variables
<xarray.Dataset.variables>` and
:py:attr:`DataArray.variable <xarray.DataArray.variable>` attributes... |
pydata/xarray | pydata__xarray-4195 | https://github.com/pydata/xarray/pull/4195 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 5ee67efb1da..a0e5090d38a 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -30,6 +30,8 @@ New Features
- :py:func:`open_dataset` and :py:func:`open_mfdataset`
now works with ``engine="zarr"`` (:issue:`3668`, :pull:`4003`, :pull:`4187`).
By `Miguel ... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index 5e0fe13ea52..ba424170349 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -9,7 +9,15 @@
import pytest
import xarray as xr
-from xarray import DataArray, Dataset, IndexVariable, Variable, align, broa... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5ee67efb1da..a0e5090d38a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,8 @@ New Features\n - :py:func:`... | 0016 | 57ae5a482e2e64f0fae30038c35e14a127d52a27 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-False-1]",
"xarray/tests/test_weighted.py::test_weighted_weights_nan_raises[weights0-False]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-False-2]",
"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[True-None-... | [
"xarray/tests/test_weighted.py::test_weighted_operations_keep_attr_da_in_ds[sum]",
"xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[absolute]",
"xarray/tests/test_weighted.py::test_weighted_operations_keep_attr_da_in_ds[mean]",
"xarray/tests/test_dataset.py::TestDataset::test_propagate_attrs[<... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 5ee67efb1da..a0e5090d38a 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,6 +30,8 @@ New Features\n - :py:func:`... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 5ee67efb1da..a0e5090d38a 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -30,6 +30,8 @@ New Features
- :py:func:`open_dataset` and :py:func:`open_mfdataset`
now works with ``engine="zarr"`` (:issue:`<PRID>`, :pull:`<PRID>`, :pull:`<PRID>`).
By `<... |
pydata/xarray | pydata__xarray-3877 | https://github.com/pydata/xarray/pull/3877 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 10f6b23ca66..c082bcaa263 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -24,6 +24,10 @@ Breaking changes
New Features
~~~~~~~~~~~~
+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,
+ :py:func:`combine_by_coords` and :py:... | diff --git a/xarray/tests/test_combine.py b/xarray/tests/test_combine.py
index eb2c6e1dbf7..c3f981f10d1 100644
--- a/xarray/tests/test_combine.py
+++ b/xarray/tests/test_combine.py
@@ -503,6 +503,49 @@ def test_auto_combine_2d(self):
result = combine_nested(datasets, concat_dim=["dim1", "dim2"])
asser... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 10f6b23ca66..c082bcaa263 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,10 @@ Breaking changes\n \n New ... | 0016 | c707b337a0f75224ee3b3e3b65a08da792df2fa6 | [
"xarray/tests/test_dataarray.py::TestDataArray::test_pad_stat_length[stat_length2-minimum]",
"xarray/tests/test_concat.py::TestConcatDataset::test_concat_coords_kwarg[dim1-minimal]",
"xarray/tests/test_dataarray.py::test_rolling_wrapped_bottleneck[1-None-True-min]",
"xarray/tests/test_dataarray.py::test_rolli... | [
"xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs_identical",
"xarray/tests/test_concat.py::TestConcatDataArray::test_concat_combine_attrs_kwarg",
"xarray/tests/test_combine.py::TestCombineAuto::test_combine_coords_combine_attrs[drop-expected0]",
"xarray/tests/test_combine.py::... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "promote_attrs"
},
{
"type": "field",
"name": "promote_attrs"
},
{
... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 10f6b23ca66..c082bcaa263 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -24,6 +24,10 @@ Breaking changes\n \n New ... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 10f6b23ca66..c082bcaa263 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -24,6 +24,10 @@ Breaking changes
New Features
~~~~~~~~~~~~
+- Control over attributes of result in :py:func:`merge`, :py:func:`concat`,
+ :py:func:`combine_by_coords` and :py:... |
pydata/xarray | pydata__xarray-3871 | https://github.com/pydata/xarray/pull/3871 | diff --git a/doc/api.rst b/doc/api.rst
index 216f47f988f..b37c84e7a81 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -180,6 +180,8 @@ Computation
:py:attr:`~Dataset.any`
:py:attr:`~Dataset.argmax`
:py:attr:`~Dataset.argmin`
+:py:attr:`~Dataset.idxmax`
+:py:attr:`~Dataset.idxmin`
:py:attr:`~Dataset.max`
:py:attr:`~D... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index e23ff2f7e31..5b3e122bf72 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -4349,6 +4349,783 @@ def test_pad_reflect(self, mode, reflect_type):
assert_identical(actual, expected)
+class Test... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 216f47f988f..b37c84e7a81 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -180,6 +180,8 @@ Computation\n :py:attr:`~Dataset.any`\n :py:attr:`~Dataset.argmax`\... | 0016 | ca6bb8561f2977509fc5bf53eae0efd080c0a952 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-False-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-False-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-4-3-True-1]",
"xarray/tests/test_dataarray.py::TestDataArray::test_groupby_map_center",
"xarray/tests/test_dat... | [
"xarray/tests/test_dataarray.py::TestReduce2D::test_idxmin[x0-minindex0-maxindex0-nanindex0]",
"xarray/tests/test_dataarray.py::TestReduce2D::test_idxmax[x0-minindex0-maxindex0-nanindex0]",
"xarray/tests/test_dataarray.py::TestReduce1D::test_idxmax[x2-5-2-1]",
"xarray/tests/test_dataarray.py::TestReduce1D::te... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 216f47f988f..b37c84e7a81 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -180,6 +180,8 @@ Computation\n :py:attr:`~Dataset.any`\n :py:attr:`~Dataset.argmax`\... | diff --git a/doc/api.rst b/doc/api.rst
index 216f47f988f..b37c84e7a81 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -180,6 +180,8 @@ Computation
:py:attr:`~Dataset.any`
:py:attr:`~Dataset.argmax`
:py:attr:`~Dataset.argmin`
+:py:attr:`~Dataset.idxmax`
+:py:attr:`~Dataset.idxmin`
:py:attr:`~Dataset.max`
:py:attr:`~D... |
pydata/xarray | pydata__xarray-3802 | https://github.com/pydata/xarray/pull/3802 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 6a5491e34dd..1deb77eecfc 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -30,7 +30,11 @@ New Features
By `Kai Mühlbauer <https://github.com/kmuehlbauer>`_.
- implement pint support. (:issue:`3594`, :pull:`3706`)
By `Justus Magin <https://github.c... | diff --git a/xarray/tests/test_groupby.py b/xarray/tests/test_groupby.py
index 97bd31ae050..77558e741be 100644
--- a/xarray/tests/test_groupby.py
+++ b/xarray/tests/test_groupby.py
@@ -483,6 +483,11 @@ def test_groupby_reduce_dimension_error(array):
assert_allclose(array.mean(["x", "z"]), grouped.reduce(np.mean, [... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 6a5491e34dd..1deb77eecfc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,7 +30,11 @@ New Features\n By `Kai M... | 0015 | 20e6236f250d1507d22daf06d38b283a83c12e44 | [
"xarray/tests/test_groupby.py::test_ds_groupby_map_func_args",
"xarray/tests/test_groupby.py::test_groupby_repr[obj0-y]",
"xarray/tests/test_groupby.py::test_da_groupby_quantile",
"xarray/tests/test_groupby.py::test_multi_index_groupby_sum",
"xarray/tests/test_groupby.py::test_groupby_repr[obj0-month]",
"... | [
"xarray/tests/test_groupby.py::test_groupby_multiple_string_args"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 6a5491e34dd..1deb77eecfc 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -30,7 +30,11 @@ New Features\n By `<NAME... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 6a5491e34dd..1deb77eecfc 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -30,7 +30,11 @@ New Features
By `<NAME>`_.
- implement pint support. (:issue:`<PRID>`, :pull:`<PRID>`)
By `<NAME>`_.
-
+- :py:meth:`Dataset.groupby` and :py:meth:`DataArray.... |
pydata/xarray | pydata__xarray-3733 | https://github.com/pydata/xarray/pull/3733 | diff --git a/doc/api.rst b/doc/api.rst
index b9c3e3bdd33..216f47f988f 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -30,6 +30,7 @@ Top-level functions
zeros_like
ones_like
dot
+ polyval
map_blocks
show_versions
set_options
@@ -172,6 +173,7 @@ Computation
Dataset.quantile
Dataset.differ... | diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index 369903552ad..4eed464d2dc 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -1120,3 +1120,35 @@ def test_where():
actual = xr.where(cond, 1, 0)
expected = xr.DataArray([1, 0], dims="x")
... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex b9c3e3bdd33..216f47f988f 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -30,6 +30,7 @@ Top-level functions\n zeros_like\n ones_like\n dot\n+ poly... | 0016 | 009aa66620b3437cf0de675013fa7d1ff231963c | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataarray.py::test_rolling_wrapped_bottleneck[1-1-False-mean]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests... | [
"xarray/tests/test_duck_array_ops.py::test_argmin_max[x-True-max-False-False-int-1]",
"xarray/tests/test_duck_array_ops.py::test_min_count_dataset[prod]",
"xarray/tests/test_duck_array_ops.py::TestArrayNotNullEquiv::test_wrong_shape",
"xarray/tests/test_duck_array_ops.py::test_min_count[x-prod-False-bool_-1]"... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "residuals"
},
{
"type": "field",
"name": "get_clean_interp_index"
},
... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex b9c3e3bdd33..216f47f988f 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -30,6 +30,7 @@ Top-level functions\n zeros_like\n ones_like\n dot\n+ poly... | diff --git a/doc/api.rst b/doc/api.rst
index b9c3e3bdd33..216f47f988f 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -30,6 +30,7 @@ Top-level functions
zeros_like
ones_like
dot
+ polyval
map_blocks
show_versions
set_options
@@ -172,6 +173,7 @@ Computation
Dataset.quantile
Dataset.differ... |
pydata/xarray | pydata__xarray-3847 | https://github.com/pydata/xarray/pull/3847 | diff --git a/ci/requirements/py36-min-all-deps.yml b/ci/requirements/py36-min-all-deps.yml
index 86540197dcc..a72cd000680 100644
--- a/ci/requirements/py36-min-all-deps.yml
+++ b/ci/requirements/py36-min-all-deps.yml
@@ -15,8 +15,8 @@ dependencies:
- cfgrib=0.9
- cftime=1.0
- coveralls
- - dask=2.2
- - distr... | diff --git a/xarray/testing.py b/xarray/testing.py
index ac189f7e023..4897b958113 100644
--- a/xarray/testing.py
+++ b/xarray/testing.py
@@ -1,10 +1,11 @@
"""Testing functions exposed to the user API"""
+import functools
from typing import Hashable, Set, Union
import numpy as np
import pandas as pd
-from xarray... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd30fab0160..f4f75df2e86 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -209,6 +209,8 @@ New Features\n :py:meth... | 0015 | 8051c47686ae23062f9008785563d62327735002 | [
"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-var-False-float-2]",
"xarray/tests/test_duck_array_ops.py::test_reduce[x-True-max-False-bool_-2]",
"xarray/tests/test_duck_array_ops.py::TestArrayNotNullEquiv::test_equal[arr10-arr20]",
"xarray/tests/test_duck_array_ops.py::test_reduce[x-True-sum-Fa... | [
"xarray/tests/test_testing.py::test_assert_allclose[Dataset]"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "equiv"
}
]
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex cd30fab0160..f4f75df2e86 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -209,6 +209,8 @@ New Features\n :py:meth... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index cd30fab0160..f4f75df2e86 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -209,6 +209,8 @@ New Features
:py:meth:`core.groupby.DatasetGroupBy.quantile`, :py:meth:`core.groupby.DataArrayGroupBy.quantile`
(:issue:`<PRID>`, :pull:`<PRID>`)
By `<NAM... |
pydata/xarray | pydata__xarray-2922 | https://github.com/pydata/xarray/pull/2922 | diff --git a/doc/api.rst b/doc/api.rst
index 4492d882355..43a9cf53ead 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -165,6 +165,7 @@ Computation
Dataset.groupby_bins
Dataset.rolling
Dataset.rolling_exp
+ Dataset.weighted
Dataset.coarsen
Dataset.resample
Dataset.diff
@@ -340,6 +341,7 @@ Computa... | diff --git a/xarray/tests/test_weighted.py b/xarray/tests/test_weighted.py
new file mode 100644
index 00000000000..24531215dfb
--- /dev/null
+++ b/xarray/tests/test_weighted.py
@@ -0,0 +1,311 @@
+import numpy as np
+import pytest
+
+import xarray as xr
+from xarray import DataArray
+from xarray.tests import assert_allc... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 4492d882355..43a9cf53ead 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -165,6 +165,7 @@ Computation\n Dataset.groupby_bins\n Dataset.rolling\n Dat... | 0015 | 65a5bff79479c4b56d6f733236fe544b7f4120a8 | [] | [
"xarray/tests/test_weighted.py::test_weighted_weights_nan_raises[weights0-False]",
"xarray/tests/test_weighted.py::test_weighted_operations_3D[True-True-True-mean-c]",
"xarray/tests/test_weighted.py::test_weighted_operations_different_shapes[True-None-True-sum-shape_weights2-shape_data0-dim_0]",
"xarray/tests... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "field",
"name": "keep_attrs"
},
{
"type": "field",
"name": "attrs"
},
{
"type": ... | [
{
"path": "doc/api.rst",
"old_path": "a/doc/api.rst",
"new_path": "b/doc/api.rst",
"metadata": "diff --git a/doc/api.rst b/doc/api.rst\nindex 4492d882355..43a9cf53ead 100644\n--- a/doc/api.rst\n+++ b/doc/api.rst\n@@ -165,6 +165,7 @@ Computation\n Dataset.groupby_bins\n Dataset.rolling\n Dat... | diff --git a/doc/api.rst b/doc/api.rst
index 4492d882355..43a9cf53ead 100644
--- a/doc/api.rst
+++ b/doc/api.rst
@@ -165,6 +165,7 @@ Computation
Dataset.groupby_bins
Dataset.rolling
Dataset.rolling_exp
+ Dataset.weighted
Dataset.coarsen
Dataset.resample
Dataset.diff
@@ -340,6 +341,7 @@ Computa... |
pydata/xarray | pydata__xarray-3923 | https://github.com/pydata/xarray/pull/3923 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b9c81ad3474..46a67f9ae4f 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -35,6 +35,11 @@ New Features
:py:func:`combine_by_coords` and :py:func:`combine_nested` using
combine_attrs keyword argument. (:issue:`3865`, :pull:`3877`)
By `John Omotan... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index ced72d1bc06..cf31182ed30 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -781,6 +781,19 @@ def test_isel(self):
assert_identical(self.dv, self.dv.isel(x=slice(None)))
assert_identical... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b9c81ad3474..46a67f9ae4f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -35,6 +35,11 @@ New Features\n :py:func:... | 0016 | b3bafeefbd6e6d70bce505ae1f0d9d5a2b015089 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataarray.py::test_rolling_wrapped_bottleneck[1-1-False-mean]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_isel",
"xarray/tests/test_dataset.py::TestDataset::test_isel",
"xarray/tests/test_variable.py::TestVariable::test_isel"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex b9c81ad3474..46a67f9ae4f 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -35,6 +35,11 @@ New Features\n :py:func:... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index b9c81ad3474..46a67f9ae4f 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -35,6 +35,11 @@ New Features
:py:func:`combine_by_coords` and :py:func:`combine_nested` using
combine_attrs keyword argument. (:issue:`<PRID>`, :pull:`<PRID>`)
By `<NAME>`... |
pydata/xarray | pydata__xarray-3637 | https://github.com/pydata/xarray/pull/3637 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 1f60d457432..a15e7e35cb8 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,9 @@ Breaking changes
New Features
~~~~~~~~~~~~
+- :py:func:`xarray.concat` now preserves attributes from the first Variable.
+ (:issue:`2575`, :issue:`2060`, :issue... | diff --git a/xarray/tests/test_concat.py b/xarray/tests/test_concat.py
index 0661ebb7a38..def5abc942f 100644
--- a/xarray/tests/test_concat.py
+++ b/xarray/tests/test_concat.py
@@ -462,3 +462,16 @@ def test_concat_join_kwarg(self):
for join in expected:
actual = concat([ds1, ds2], join=join, dim="... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1f60d457432..a15e7e35cb8 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New F... | 0015 | 6295bc6bca1559680544ea86051f35fa2d367fe1 | [
"xarray/tests/test_variable.py::TestVariable::test_reduce_keep_attrs",
"xarray/tests/test_variable.py::TestIndexVariable::test_copy[str-True]",
"xarray/tests/test_variable.py::TestIndexVariable::test_real_and_imag",
"xarray/tests/test_variable.py::TestIndexVariable::test_get_level_variable",
"xarray/tests/t... | [
"xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr21-attr10]",
"xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr21-attr11]",
"xarray/tests/test_concat.py::test_concat_attrs_first_variable[attr20-attr10]",
"xarray/tests/test_variable.py::TestIndexVariable::test_concat",
"xa... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 1f60d457432..a15e7e35cb8 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -25,6 +25,9 @@ Breaking changes\n \n New F... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 1f60d457432..a15e7e35cb8 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -25,6 +25,9 @@ Breaking changes
New Features
~~~~~~~~~~~~
+- :py:func:`xarray.concat` now preserves attributes from the first Variable.
+ (:issue:`<PRID>`, :issue:`<PRID>`, :i... |
pydata/xarray | pydata__xarray-3826 | https://github.com/pydata/xarray/pull/3826 | diff --git a/doc/reshaping.rst b/doc/reshaping.rst
index 455a24f9216..465ca14dfc2 100644
--- a/doc/reshaping.rst
+++ b/doc/reshaping.rst
@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and
stacked
stacked.unstack('z')
+As elsewhere in xarray, an ellipsis (`...`) can be used to represent ... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index de02f8e059d..6f065c9daed 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -2040,6 +2040,9 @@ def test_stack_unstack(self):
actual = orig.stack(z=["x", "y"]).unstack("z").drop_vars(["x", "y"])
... | [
{
"path": "doc/reshaping.rst",
"old_path": "a/doc/reshaping.rst",
"new_path": "b/doc/reshaping.rst",
"metadata": "diff --git a/doc/reshaping.rst b/doc/reshaping.rst\nindex 455a24f9216..465ca14dfc2 100644\n--- a/doc/reshaping.rst\n+++ b/doc/reshaping.rst\n@@ -109,6 +109,13 @@ implemented :py:meth:`~x... | 0015 | e7d6e12662ae113a57eaf38eb2a19ab9ff92b9a8 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-False-1]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-False-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-4-3-True-1]",
"xarray/tests/test_dataarray.py::TestDataArray::test_groupby_map_center",
"xarray/tests/test_dat... | [
"xarray/tests/test_dataset.py::TestDataset::test_stack",
"xarray/tests/test_dataarray.py::TestDataArray::test_stack_unstack"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/reshaping.rst",
"old_path": "a/doc/reshaping.rst",
"new_path": "b/doc/reshaping.rst",
"metadata": "diff --git a/doc/reshaping.rst b/doc/reshaping.rst\nindex 455a24f9216..465ca14dfc2 100644\n--- a/doc/reshaping.rst\n+++ b/doc/reshaping.rst\n@@ -109,6 +109,13 @@ implemented :py:meth:`~x... | diff --git a/doc/reshaping.rst b/doc/reshaping.rst
index 455a24f9216..465ca14dfc2 100644
--- a/doc/reshaping.rst
+++ b/doc/reshaping.rst
@@ -109,6 +109,13 @@ implemented :py:meth:`~xarray.DataArray.stack` and
stacked
stacked.unstack('z')
+As elsewhere in xarray, an ellipsis (`...`) can be used to represent ... |
pydata/xarray | pydata__xarray-3670 | https://github.com/pydata/xarray/pull/3670 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9fbeaa95055..0e48dfcfc78 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -40,6 +40,8 @@ Breaking changes
New Features
~~~~~~~~~~~~
+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`3669`... | diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py
index f9eb37dbf2f..4e51e229b29 100644
--- a/xarray/tests/test_dataset.py
+++ b/xarray/tests/test_dataset.py
@@ -1408,6 +1408,56 @@ def test_sel_dataarray_mindex(self):
)
)
+ def test_sel_categorical(self):
+ ... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9fbeaa95055..0e48dfcfc78 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -40,6 +40,8 @@ Breaking changes\n \n New F... | 0015 | 9c7286639136f52aee877f44de8c89d7c8f41068 | [
"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-False-1]",
"xarray/tests/test_dataset.py::TestDataset::test_to_and_from_empty_dataframe",
"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-None-None-var]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-False-2]",
"... | [
"xarray/tests/test_dataset.py::TestDataset::test_categorical_index",
"xarray/tests/test_dataset.py::TestDataset::test_sel_categorical",
"xarray/tests/test_dataset.py::TestDataset::test_sel_categorical_error",
"xarray/tests/test_dataset.py::TestDataset::test_from_dataframe_categorical"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 9fbeaa95055..0e48dfcfc78 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -40,6 +40,8 @@ Breaking changes\n \n New F... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 9fbeaa95055..0e48dfcfc78 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -40,6 +40,8 @@ Breaking changes
New Features
~~~~~~~~~~~~
+- :py:meth:`DataArray.sel` and :py:meth:`Dataset.sel` now support :py:class:`pandas.CategoricalIndex`. (:issue:`<PRID... |
pydata/xarray | pydata__xarray-3844 | https://github.com/pydata/xarray/pull/3844 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 24120270444..2c30db99bcd 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -45,7 +45,12 @@ New Features
By `Julia Signell <https://github.com/jsignell>`_.
- :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a
first argument... | diff --git a/xarray/tests/test_dataarray.py b/xarray/tests/test_dataarray.py
index b8a9c5edaf9..33f1b403eb8 100644
--- a/xarray/tests/test_dataarray.py
+++ b/xarray/tests/test_dataarray.py
@@ -2368,13 +2368,15 @@ def test_reduce_out(self):
with pytest.raises(TypeError):
orig.mean(out=np.ones(orig.... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 24120270444..2c30db99bcd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,7 +45,12 @@ New Features\n By `Julia... | 0015 | 9fbb4170c1732fe2f3cd57b2b96d770a5bac50ed | [
"xarray/tests/test_dataset.py::test_rolling_reduce[median-3-3-True-2]",
"xarray/tests/test_dataset.py::test_rolling_reduce[std-3-2-False-1]",
"xarray/tests/test_dataarray.py::test_rolling_wrapped_bottleneck[1-1-False-mean]",
"xarray/tests/test_dataset.py::test_rolling_reduce[mean-3-2-True-1]",
"xarray/tests... | [
"xarray/tests/test_dataarray.py::TestDataArray::test_quantile[0-x-0.25-True]",
"xarray/tests/test_variable.py::TestVariable::test_quantile[axis3-dim3-q1-False]",
"xarray/tests/test_variable.py::TestVariable::test_quantile[axis2-dim2-q2-True]",
"xarray/tests/test_variable.py::TestVariable::test_quantile[0-x-q1... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 24120270444..2c30db99bcd 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -45,7 +45,12 @@ New Features\n By `<NAME... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 24120270444..2c30db99bcd 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -45,7 +45,12 @@ New Features
By `<NAME>`_.
- :py:meth:`Dataset.where` and :py:meth:`DataArray.where` accept a lambda as a
first argument, which is then called on the input; ... |
pydata/xarray | pydata__xarray-3500 | https://github.com/pydata/xarray/pull/3500 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 884c3cef91c..ed1e79ce3d1 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -28,7 +28,9 @@ New Features
- :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``
now work with dask Variables.
By `Deepak Cherian <https://g... | diff --git a/xarray/tests/test_dataset.py b/xarray/tests/test_dataset.py
index d8282f58051..7db1911621b 100644
--- a/xarray/tests/test_dataset.py
+++ b/xarray/tests/test_dataset.py
@@ -5497,6 +5497,11 @@ def ds(request):
)
+def test_coarsen_absent_dims_error(ds):
+ with raises_regex(ValueError, "not fou... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 884c3cef91c..ed1e79ce3d1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,7 +28,9 @@ New Features\n - :py:meth:`... | 0015 | ed05f9862622b00f40f7b9b99ccdb0ab3766ff0f | [
"xarray/tests/test_dataset.py::test_rolling_reduce[max-1-None-False-1]",
"xarray/tests/test_dataset.py::TestDataset::test_to_and_from_empty_dataframe",
"xarray/tests/test_dataset.py::test_rolling_wrapped_bottleneck[1-z2-None-None-var]",
"xarray/tests/test_dataset.py::test_rolling_reduce[max-3-1-False-2]",
"... | [
"xarray/tests/test_dataset.py::test_coarsen_absent_dims_error[1]",
"xarray/tests/test_variable.py::TestVariable::test_coarsen_2d"
] | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": []
} | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex 884c3cef91c..ed1e79ce3d1 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -28,7 +28,9 @@ New Features\n - :py:meth:`... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 884c3cef91c..ed1e79ce3d1 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -28,7 +28,9 @@ New Features
- :py:meth:`Dataset.quantile`, :py:meth:`DataArray.quantile` and ``GroupBy.quantile``
now work with dask Variables.
By `<NAME>`_.
-
+- Added the ... |
pydata/xarray | pydata__xarray-3631 | https://github.com/pydata/xarray/pull/3631 | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index fef1b988f01..26b42a1df21 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -23,8 +23,8 @@ Breaking changes
~~~~~~~~~~~~~~~~
- Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which
- have been deprecated since 0.12. (:pull:`3650`).
- I... | diff --git a/xarray/tests/test_duck_array_ops.py b/xarray/tests/test_duck_array_ops.py
index aee7bbd6b11..96c883baa67 100644
--- a/xarray/tests/test_duck_array_ops.py
+++ b/xarray/tests/test_duck_array_ops.py
@@ -1,6 +1,7 @@
import warnings
from textwrap import dedent
+import datetime as dt
import numpy as np
imp... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex fef1b988f01..26b42a1df21 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,8 +23,8 @@ Breaking changes\n ~~~~~~~~... | 0015 | c32e58b4fff72816c6b554db51509bea6a891cdc | [] | [
"xarray/tests/test_duck_array_ops.py::test_reduce[None-True-mean-False-float32-2]",
"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-max-False-int-1]",
"xarray/tests/test_duck_array_ops.py::test_reduce[None-True-mean-False-int-2]",
"xarray/tests/test_duck_array_ops.py::test_reduce[None-False-var-F... | {
"header": "If completing this task requires creating new files, classes, fields, or error messages, you may consider using the following suggested entity names:",
"data": [
{
"type": "function",
"name": "py_timedelta_to_float"
},
{
"type": "field",
"name": "py_timedelta_to_floa... | [
{
"path": "doc/whats-new.rst",
"old_path": "a/doc/whats-new.rst",
"new_path": "b/doc/whats-new.rst",
"metadata": "diff --git a/doc/whats-new.rst b/doc/whats-new.rst\nindex fef1b988f01..26b42a1df21 100644\n--- a/doc/whats-new.rst\n+++ b/doc/whats-new.rst\n@@ -23,8 +23,8 @@ Breaking changes\n ~~~~~~~~... | diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index fef1b988f01..26b42a1df21 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -23,8 +23,8 @@ Breaking changes
~~~~~~~~~~~~~~~~
- Remove ``compat`` and ``encoding`` kwargs from ``DataArray``, which
- have been deprecated since 0.12. (:pull:`<PRID>`).
- ... |
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