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TYP: annotations
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2020-01-18T01:59:25Z
2020-01-18T16:11:48Z
2020-01-18T11:54:22Z
MEMBER
null
Several of the Index subclasses are difficult to annotate, so I want to get the easy-ish parts to make it easier to focus on the pain points.
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Unclear DataFrame.info() range summary info for DatetimeIndex
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2020-01-18T02:45:57Z
2020-02-05T08:03:37Z
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Within [DataFrame.info](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.info.html), the description of the [DatetimeIndex](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DatetimeIndex.html) of unsorted indexes might not be clear enough to users, because just showing the fi...
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REF: IntervalIndex.get_value partial slicing
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2020-01-18T03:46:12Z
2020-05-09T20:22:04Z
2020-05-09T20:22:04Z
MEMBER
null
In trying to refactor IntervalIndex.get_loc/get_value to more closely follow the other implementations, I stumbled on a behavior in a test case that surprised me: ``` idx = IntervalIndex.from_tuples([(1, 5), (3, 7)]) s = Series(range(len(idx)), index=idx) key = [4] >>> idx.get_loc(key) # <-- behaves like all ...
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31,118
ERR: better error message on unparseable datetimes
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2020-01-18T06:20:43Z
2020-03-14T21:38:23Z
2020-03-14T21:38:23Z
CONTRIBUTOR
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- [ ] closes #10720 - [ ] tests added / passed - [x] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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BUG: concat not copying index and columns when copy=True
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2020-01-18T07:48:20Z
2020-01-21T10:59:50Z
2020-01-21T10:50:47Z
MEMBER
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- [x] closes #29879 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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Backport PR #30977 on branch 1.0.x (JSON Date Handling 1.0 Regressions)
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Backport PR #30977: JSON Date Handling 1.0 Regressions
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2020-01-18T16:23:52Z
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Backport PR #30971: BUG: reductions for nullable dtypes should return pd.NA for skipna=False
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Backport PR #31097: DOC: Replace ggpy with plotnine in ecosystem
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2020-01-18T17:12:32Z
2020-01-19T00:29:29Z
2020-01-18T23:24:04Z
MEMBER
null
- clean up unnecessary try/except - the "bug" part is that ATM we incorrectly raise KeyError instead of TypeError on non-hashable.
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31,124
Backport PR #30553 on branch 1.0.x (TST/BUG: fix incorrectly-passing Exception in test_html)
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2020-01-18T17:20:13Z
2020-01-18T18:53:15Z
2020-01-18T18:53:14Z
NONE
null
Backport PR #30553: TST/BUG: fix incorrectly-passing Exception in test_html
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31,125
REF/CLN: Index.get_value wrapping incorrectly
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2020-01-18T17:48:11Z
2020-01-18T19:54:03Z
2020-01-18T19:39:00Z
MEMBER
null
Index.get_value isn't wrapping non-scalar results correctly, as a result of which we have an ugly kludge in `Series.__getitem__` to do that wrapping. This fixes that.
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31,126
TYP: DataFrame.(index|columns) and Series.index
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2020-01-18T18:23:05Z
2020-01-24T20:20:14Z
2020-01-24T01:19:03Z
CONTRIBUTOR
null
Makes mypy discover the ``.index`` and ``.columns`` attributes and that they're ``Index`` (sub-)classes. This is done by manually adding the ``properties.AxisProperty`` to DataFrame/Series instead of doing it programatically, as mypy doesn't like adding attributes programatically very much.
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Docs for `DataFrame.plot.scatter` say that `c` can be of type `int`, yet it's not explained what that means and passing one raises an error
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2020-01-18T19:53:39Z
2020-01-19T08:19:14Z
2020-01-19T08:19:14Z
MEMBER
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#### Code Sample, a copy-pastable example if possible ```python df = pd.DataFrame( [[5.1, 3.5, 0], [4.9, 3.0, 0], [7.0, 3.2, 1], [6.4, 3.2, 1], [5.9, 3.0, 2]], columns=["length", "width", "species"], ) ax1 = df.plot.scatter(x="length", y="width", c=128) ``` returns ``` IndexError: index 128 is out o...
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31,128
REF: require PeriodArray in PeriodIndex._simple_new
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REF: share code between Int64Index and UInt64Index
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31,130
TST: Implement external error raised helper function.
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MEMBER
null
- [x] ref #30999 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Opened PR for what @gfyoung wrote [here](https://github.com/pandas-dev/pandas/issues/30999#issuecomment-575426086)
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31,131
ENH: Implement CSV reading for BooleanArray
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2020-01-19T03:01:14Z
2020-01-23T20:56:01Z
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#### Code Sample, a copy-pastable example if possible In 1.0.0 rc0, `pd.read_csv` returns this error when reading NA with specifying dtype of 'boolean' ```python # import pandas as pd # import io >>> txt = """ X1,X2,X3 1,a,True 2,b,False NA,NA,NA """ >>> df1 = pd.read_csv(io.StringIO(txt), dtype={'X3':...
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TST/REF: Parameteratized tests
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2020-01-19T07:51:57Z
2020-01-22T23:41:00Z
2020-01-21T08:05:44Z
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31,133
BUG: Break reference from grouping level to MI
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2020-01-19T16:29:18Z
2020-01-20T22:25:40Z
2020-01-20T22:25:34Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/31068
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REF/BUG: Index.get_value called incorrectly, de-duplicate+simplify
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2020-01-19T16:50:53Z
2020-01-20T16:24:29Z
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MEMBER
null
Also engine.get_value is being called incorrectly in DTI/TDI, which this fixes.
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Docs mention non-existent doc/source/api.rst
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2020-01-19T17:30:13Z
2020-01-25T12:17:55Z
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E.g. in doc/source/development/contributing.rst it says: > * Our API documentation in ``doc/source/api.rst`` houses the auto-generated > documentation from the docstrings. For classes, there are a few subtleties > around controlling which methods and attributes have pages auto-generated. > There's a few oth...
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COMPAT: Return NotImplemented for subclassing
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2020-01-19T17:48:06Z
2020-01-28T21:14:13Z
2020-01-28T20:57:19Z
CONTRIBUTOR
null
This changes index ops to check the *type* of the argument in index ops, rather than just the dtype. This lets index subclasses take control of binary ops when they know better what the result should be. Closes https://github.com/pandas-dev/pandas/issues/31109 cc @jbrockmendel, I've fixed this as close to the r...
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TYP: Index get_indexer_foo methods
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TST:Disallow bare pytest raises issue 30999
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2020-01-19T18:57:46Z
2020-01-25T21:06:46Z
2020-01-23T08:18:57Z
CONTRIBUTOR
null
- [x] refers #30999 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry This pull request is to add appropriate match arguments to bare pytest.raises listed in #30999 [Comment](https://github.com/pandas-dev/pandas/issue...
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BUG: in DataFrame.count not returning subclassed data types.
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2020-01-19T20:20:12Z
2020-01-21T13:13:42Z
2020-01-21T13:12:35Z
CONTRIBUTOR
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- [ ] closes #xxxx - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry Once #30945 is merged these tests will pass. I also, didn't know if a PR without first submitting an issue was appropriate, but to cut down on wor...
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Feature Request: Add offset as head() second parameter
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2020-01-19T21:05:16Z
2020-01-20T20:16:29Z
2020-01-20T20:16:29Z
NONE
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It would be very cool and intuitive if we could do somethig like this: ```python df.head(10, 100) ``` #### Problem description There are a lot of situations where you need to look through rows and rows of data and currently the alternatives are: 1. play with pd.options to display more rows 2. use indexing an...
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show dtype when using df.head()
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2020-01-19T21:43:30Z
2020-01-19T22:00:56Z
2020-01-19T22:00:56Z
NONE
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I have a class that requires R, and I realized R will show the data type right below the column names when listing the first n-th rows. I was wondering if this is a feature in Pandas, like when I type `df.head()`, there will be dtype right below the column names.
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Series.combine with fill_value gives unexpected results
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7
2020-01-19T21:44:52Z
2020-04-24T14:48:52Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd a = pd.Series([1, 2, 3], index=["a", "b", "c"]) b = pd.Series([10, 20, 30], index=[0, "e", "f"]) c = b.combine(a, lambda x,y: x+y, fill_value=0) print(c) ``` #### Problem description This gives the output: 0 11 a 1...
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552,020,359
MDExOlB1bGxSZXF1ZXN0MzY0NjA2MDQ4
31,143
REF: share searchsorted between DTI/TDI/PI, insert between DTI/TDI
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1
2020-01-20T01:20:32Z
2020-01-20T21:24:34Z
2020-01-20T16:39:55Z
MEMBER
null
Made possible following #30950, takes the place of #30853.
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552,125,996
MDExOlB1bGxSZXF1ZXN0MzY0NjkxMzUw
31,144
Check for pyarrow not feather before pyarrow tests
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6
2020-01-20T07:51:15Z
2020-01-24T03:54:17Z
2020-01-24T03:54:11Z
CONTRIBUTOR
null
read_feather/to_feather now use pyarrow.feather, not top-level (feather-format) feather, but some of their tests were still looking for top-level feather. Two of them that deliberately cause a file not found error were also looking for the wrong form of error message. (Probably nobody noticed because the above was ...
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552,129,084
MDExOlB1bGxSZXF1ZXN0MzY0NjkzOTUx
31,145
Use https for links where available
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5
2020-01-20T07:57:35Z
2020-01-24T03:55:13Z
2020-01-24T03:55:09Z
CONTRIBUTOR
null
As some of our links are suggestions to install add-on software, insecure links potentially allow an attacker to replace this with their malware. During the process of writing this, I also found and fixed some broken or semi-broken (e.g. redirected to the top level instead of the page we want) links. The followin...
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552,133,021
MDExOlB1bGxSZXF1ZXN0MzY0Njk3MjA5
31,146
Remove possibly illegal test data
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5
2020-01-20T08:05:33Z
2020-05-26T09:39:30Z
2020-01-21T10:18:39Z
CONTRIBUTOR
null
Much of the test_html data looks like it was saved from real web pages, and not all of them look like the kind that are under a free software license. (I couldn't actually check because only one of the three identifies the source site, and that site raises a security warning.) This removes the questionable data, an...
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552,134,221
MDExOlB1bGxSZXF1ZXN0MzY0Njk4MjMx
31,147
Use Python 3 shebangs
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1
2020-01-20T08:07:45Z
2020-01-20T15:16:46Z
2020-01-20T15:16:42Z
CONTRIBUTOR
null
Plain 'python' may either not exist at all, or be Python 2.
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MDExOlB1bGxSZXF1ZXN0MzY0Nzc0MzA1
31,148
DOC: replace long table of contents on home page with main links
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14
2020-01-20T11:01:43Z
2020-01-27T19:53:54Z
2020-01-27T19:43:56Z
MEMBER
null
This is a proposal to remove the long table of contents on the documentation home page and replace it with a highlight of the main parts of the documentation. Reasons: I don't think the long table of contents resulted in a very attractive landing page of the docs. And further, it was also a "manual" table of content...
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31,149
Lint issue with new version of flake8-comprehensions plugin
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1
2020-01-20T12:44:58Z
2020-01-23T00:49:55Z
2020-01-23T00:49:55Z
MEMBER
null
[flake8-comprehensions](https://pypi.org/project/flake8-comprehensions/) have released a new version (3.2.1), and now when running ```./ci/code_checks.sh lint``` I get this output: ``` flake8 --version 3.7.9 (flake8-comprehensions: 3.2.1, mccabe: 0.6.1, pycodestyle: 2.5.0, pyflakes: 2.1.1) CPython 3.8.1 on Linux ...
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API: generalized check_array_indexer for validating array-like getitem indexers
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22
2020-01-20T13:00:52Z
2020-01-29T14:46:57Z
2020-01-29T12:04:58Z
MEMBER
null
Closes https://github.com/pandas-dev/pandas/issues/30738. Also fixes the performance issue for other arrays from https://github.com/pandas-dev/pandas/issues/30744, and related to https://github.com/pandas-dev/pandas/pull/30308#issuecomment-571146305 This generalizes the `check_bool_array_indexer` helper method that ...
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31,151
ImportError because of file named bottleneck.py
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5
2020-01-20T13:12:43Z
2021-11-12T16:45:29Z
2020-01-20T13:27:18Z
NONE
null
There is a ImportError raised, if you have a file named bottleneck.py in your current working directory. In a python 3.7.5 console you get: ```python >>> import pandas Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/jalea/.local/lib/python3.7/site-packages/pandas/__ini...
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31,152
Backport PR #31095 on branch 1.0.x (DOC: Restore ExtensionIndex.dropna.__doc__)
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2020-01-20T13:35:47Z
2020-01-20T15:24:46Z
2020-01-20T15:24:46Z
NONE
null
Backport PR #31095: DOC: Restore ExtensionIndex.dropna.__doc__
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MDU6SXNzdWU1NTIzNDE0ODI=
31,153
Cannot iterate over result of a group by multiple columns if one contains NaN
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2
2020-01-20T14:41:23Z
2020-01-20T21:45:44Z
2020-01-20T21:45:44Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here df = pd.DataFrame({"a": [1, 1, None, None], "b": [2,3,4,5]}) r = df.groupby(["a","b"]) print(len(r)) for _, i in r: print(i) ``` #### Problem description Hi, when trying to perform a group by over multiples columns and ...
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552,349,535
MDU6SXNzdWU1NTIzNDk1MzU=
31,154
REF: move 'describe' functions to new file
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1
2020-01-20T14:55:32Z
2021-06-26T02:08:13Z
null
CONTRIBUTOR
null
Opening an issue about a refactor of the code for the `describe` method in Series and DataFrames as requested here: https://github.com/pandas-dev/pandas/pull/30209 Idea was to move all the helper functions (according to type) into a new file `pandas/core/algos/describe.py` And to redo the tests on `describe` method...
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MDExOlB1bGxSZXF1ZXN0MzY0ODg4MDQx
31,155
BUG: nonexistent Timestamp pre-summer/winter DST w/dateutil timezone
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2020-01-20T15:23:12Z
2020-01-24T16:31:54Z
2020-01-24T03:33:00Z
MEMBER
null
- [X] closes #31043 - [X] tests added 1 / passed 1 - [X] passes `black pandas` - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [X] whatsnew entry This implements rounding down to microseconds into Timedelta.total_seconds(). Lack of this rounding led to `dateutil.tz.tzinfo.utcoffset` and `d...
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31,156
DOC: Update of the 'getting started' pages in the sphinx section of the documentation
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9
2020-01-20T15:42:12Z
2020-02-17T18:54:40Z
2020-02-17T11:49:43Z
CONTRIBUTOR
null
- [ ] closes #26831 This PR provides an update of the getting started pages of the Pandas documentation, following from the discussion in #26831 and the [proposal](https://docs.google.com/document/d/1Rc_eql5KLrdf0c582KyWfs2ADVNxbJy4jfosnqdrVak/edit#heading=h.mqz2f6gbl3sd). The update went together with the creation...
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MDU6SXNzdWU1NTI0MzUwMTI=
31,157
REGR: outer merge resulting in missing datetime values converts to int
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2020-01-20T17:42:39Z
2020-01-22T19:36:22Z
2020-01-22T19:36:21Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame( { "x": [0, 1], "date": pd.to_datetime(["2020-01-05T12:00", "2020-01-05T13:00"]), } ) df2 = pd.DataFrame({"x": [0, 2], "y": [0, 1]}) merged = pd.merge(df, df2, on="x", how="outer...
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MDU6SXNzdWU1NTI0NTE2OTI=
31,158
BUG? Intended bebavior? MI levels and codes ordered in lexsorted in from_*
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2020-01-20T18:27:06Z
2021-07-27T05:04:50Z
null
MEMBER
null
I find it a bit weird when working on a PR with MI issue and I am not sure if it is intended or a bug?and feel surprised they show different results If creating MI e.g. ```python >>> mi = pd.MultiIndex(levels=[['apple', 'baz', 'bar'], ['one', 'two', 'three']], codes=[[0, 1...
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31,159
ENH: Implement _from_sequence_of_strings for BooleanArray
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2020-01-20T18:30:01Z
2020-01-23T21:56:21Z
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MEMBER
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- [x] closes #31131 - [x] tests added / passed - [x] passes `black pandas` - [x] whatsnew entry
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31,160
MyPy doesn't recognize scalar arithmetic for pandas classes
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2020-01-20T20:13:29Z
2020-09-30T15:27:55Z
null
MEMBER
null
Something like: ```python 1 + pd.Series([1]) ``` will yield `error: Unsupported operand types for + ("int" and "Series")` I assume because our arithmetic ops are added at runtime and not statically. Would be nice to support this somehow though
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TST: Add regression tests for fixed issues
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- [x] closes #14600 - [x] closes #14849 - [x] closes #14955 - [x] closes #14592 - [x] closes #12163 - [x] closes #12948 - [x] closes #15058 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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CLN/STY: various code cleanups
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- [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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2020-01-20T21:14:09Z
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Series lookups are affected for the Float64Index case.
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2020-01-20T22:25:45Z
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Backport PR #31133: BUG: Break reference from grouping level to MI
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- [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Backport PR #29836: ENH: XLSB support
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DOC: fix DataFrame.plot docs
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- [x] fixes #29489 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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REF: simplify index.pyx
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2020-01-21T00:51:02Z
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simplification of is_definitely_invalid_key is made possible by the recent change to make EA non-hashable.
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REF: require scalar in IntervalIndex.get_loc, get_value
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2020-01-21T01:38:58Z
2020-01-24T00:54:01Z
2020-01-24T00:52:00Z
MEMBER
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cc @jschendel the casting of tuple->Interval on L819-820 seems sketchy, can you confirm if thats appropriate? I'm also curious about the restriction on slice steps in _convert_slice_indexer, would be nice to have a comment there about why that is. xref #31117.
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552,588,333
MDU6SXNzdWU1NTI1ODgzMzM=
31,170
pandas read_csv() doesn't work with StreamingBody object where python engine is required
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2020-01-21T02:22:30Z
2021-07-27T05:05:54Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python >>> import boto3 >>> import s3fs >>> import pandas as pd >>> >>> s3 = boto3.client("s3") >>> response = s3.get_object(Bucket="df-raw-869771", Key="csv/customer-01.csv") >>> >>> pd.read_csv(response["Body"]) customer_id|store_id|first_n...
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552,589,914
MDExOlB1bGxSZXF1ZXN0MzY1MDY3MDEz
31,171
TST: Add more regression tests for fixed issues
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2020-01-21T02:29:18Z
2020-01-21T18:26:52Z
2020-01-21T18:26:47Z
MEMBER
null
- [x] closes #16894 - [x] closes #16916 - [x] closes #16410 - [x] closes #15454 - [x] closes #16699 - [x] closes #16231 - [x] closes #15150 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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552,593,535
MDExOlB1bGxSZXF1ZXN0MzY1MDY5ODM5
31,172
BUG: inconsistency between PeriodIndex.get_value vs get_loc
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2
2020-01-21T02:44:42Z
2020-01-25T16:34:19Z
2020-01-25T16:07:16Z
MEMBER
null
ATM we have inconsistent treatment for indexing with strings where the string has a higher resolution than the PeriodIndex. Luckily only one test checks for the inconsistent `PeriodIndex.__contains__` behavior, so fixing it isn't _too_ invasive. ``` pi = pd.period_range("2017-09-01", freq="D", periods=3) ser = pd...
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MDU6SXNzdWU1NTI3MDMxMjA=
31,173
ValueError: can not merge DataFrame with instance of type
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2020-01-21T08:42:27Z
2020-04-25T12:00:13Z
2020-04-25T12:00:13Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df_debtor = pd.merge(debtor_marital,debtor_gender, left_on = "IDENTITY", right_on = "IDENTITY", how = "inner") ``` #### Problem description --------------------------------------------------------------------------- ValueError ...
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31,174
Pip 20 ruins builds.
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1
2020-01-21T12:36:57Z
2020-01-21T12:49:45Z
2020-01-21T12:49:44Z
CONTRIBUTOR
null
#### Problem description: During testing, it was noticed that setting up the environment with version 20 pip fails. New release was several hours ago. #### Output ``` [Updating pip] Collecting pip Downloading https://files.pythonhosted.org/packages/60/65/16487a7c4e0f95bb3fc89c2e377be331fd496b7a9b08fd3077de...
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31,175
test_timestamp:test_class_ops_pytz can fail due to bad luck of timing of calls
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2020-01-21T13:18:43Z
2020-01-23T23:10:17Z
2020-01-23T23:10:17Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible I had a test fail in CI and the output looks like this: ``` ______________________ TestTimestamp.test_class_ops_pytz _______________________ [gw1] linux -- Python 3.6.6 /home/travis/miniconda3/envs/pandas-dev/bin/python self = <pandas.tests.scalar.timesta...
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552,912,371
MDU6SXNzdWU1NTI5MTIzNzE=
31,176
Parquet file written with Dask does not load using Pandas
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4
2020-01-21T14:28:33Z
2020-03-11T14:18:36Z
2020-03-11T14:18:35Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd import dask.dataframe as dd from dask.diagnostics import ProgressBar from dask.distributed import Client client = Client('192.168.1.33:8786', processes=True) path = "D:\\Downloads\\Wikipedia\\Yago\\" na...
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552,945,993
MDU6SXNzdWU1NTI5NDU5OTM=
31,177
Setting multiindex with columns that contain list as element raises TypeError
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2020-01-21T15:22:20Z
2020-09-01T22:59:48Z
2020-09-01T22:59:48Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df = pd.DataFrame({'A': ['x1','x2','x3', 'x4'], 'B':[['v1','v2'],['v3','v4'],['v5','v6'],['v7','v8']], 'C':[['c1','c2'],['c3','c4','cc'],['c5','c6'],['c7','c8']],'D':[['d1','d2'],['d3','d4'],['d5','d6'],['d7','d8']], 'E':[['e1','e2'],['e3','e4'],['e5',...
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553,005,242
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31,178
ewm NaN handling is wrong : simple example
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2020-01-21T16:56:40Z
2020-10-05T01:13:14Z
null
NONE
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Hello, It seems that the handling of NaN values returns bad values on this simple case (I'm using pandas 0.25.3) import numpy as np import pandas as pd x = np.array([1, np.NaN, 5]) alpha = 0.5 x_ewm = pd.Series(x).ewm(alpha=alpha, adjust=False).mean() x_ewm_simple = alpha * x[2] + ((1 - alpha) **2) * x[0] p...
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31,179
CLN: core.internals
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1
2020-01-21T17:22:22Z
2020-01-23T17:26:46Z
2020-01-23T08:07:07Z
MEMBER
null
some annotations, remove an unused argument, privatize where possible, avoid a runtime/circular import
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31,180
BUG/CLN: use more-correct isinstance check
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2020-01-21T17:45:21Z
2020-01-24T04:39:30Z
2020-01-24T04:39:06Z
MEMBER
null
this is only kind of a bug, since the isinstance check still returns True on the `type(obj)`
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31,181
TYP: annotations in indexes
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31,182
CLN: Make Series._values match Index._values
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2020-01-21T19:32:13Z
2020-01-28T17:11:52Z
2020-01-28T06:11:29Z
MEMBER
null
Discussed in #31037 - Note this is _not_ an alternative to that, as this should not be considered for 1.0. - This does not implement any of the simplifications that it makes available. - There is a decent chance that the check in core.apply can be changed so that we can still use the fastpath for these dtypes. -...
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BUG: Series/Frame invert dtypes
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2020-01-21T20:06:08Z
2020-02-01T14:53:28Z
2020-01-23T22:45:52Z
CONTRIBUTOR
null
Fixes NDFrame.__invert__ to preserve dtypes by applying things blockwise. Notably, this fixes `~Series[BooleanDtype]`. This also provides a pattern for other unary ops, though I think that those are less pressing for 1.0, which should probably have a working `~Series[BooleanDtype]` cc @jorisvandenbossche
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31,184
_BaseOffset's parameter `n` should be prevented from being 0
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2020-01-21T20:47:21Z
2020-09-27T21:49:14Z
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MEMBER
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The docstring says ``` Require that `n` be a nonzero integer. ``` but the "nonzero" condition isn't enforced. Enforcing it would prevent the undesired behaviour noticed in #29901 , whereby ``` cbh = pd.offsets.CustomBusinessHour(start='07:00', end='01:00') time = pd.Timestamp('2019-03-06 13:00:00') t...
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31,185
DEPR: _BaseOffset's parameter `n` should be prevented from being 0
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2020-01-21T20:52:21Z
2020-10-10T14:14:49Z
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MEMBER
null
- [ ] closes #31184 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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31,186
Adding and subtracting DateOffsets results in different behaviour
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2020-01-21T20:54:32Z
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``` >>> import datetime as dt >>> import pandas as pd >>> dt.datetime(2019, 3, 6, 16, 0) + pd.offsets.BusinessHour() Timestamp('2019-03-07 09:00:00') >>> dt.datetime(201...
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BUG: IntegerArray.astype(boolean)
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2020-01-21T22:01:21Z
2020-01-23T19:02:02Z
2020-01-23T15:26:39Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/31102
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BUG: DatetimeIndex.snap incorrectly setting freq
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REF: move misplaced tests
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31,190
ENH: assert_frame_equal can produce unhelpful output
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2020-01-21T23:43:55Z
2020-03-22T20:43:15Z
2020-03-22T20:43:08Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df1 = pd.DataFrame({'a': [1, 2, 3], 'b': [10, 20, 30]}, index=[0, 1, 2]) df2 = pd.DataFrame({'a': [2, 1, 3], 'b': [20, 999, 30]}, index=[1, 0, 2]) print(df1) print(df2) pd.testing.assert_frame_equal(df1, df2, check_like=T...
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31,191
Fixturize JSON tests
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2020-01-22T01:13:14Z
2020-03-19T09:33:04Z
2020-03-19T09:32:50Z
MEMBER
null
Ultimately looking to split this module up into something like: - test_serializer.py - test_deserializer.py - test_roundtrip.py - test_orient.py TBD on those being the actual modules, but for now starting with some parametrization
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CLN: remove unused fixtures
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REF: combine IndexEngine test files
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2020-01-22T02:40:46Z
2020-01-24T04:42:30Z
2020-01-24T03:27:21Z
MEMBER
null
indexing tests are pretty scattered. One step at a time...
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Make DTI.get_loc/get_value require tzawareness-compat for datetimes
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2020-01-22T02:43:14Z
2021-11-08T16:37:39Z
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MEMBER
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- [x] closes #30994 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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WIP/TST/ENH: require freq match in assert_index_equal
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2020-01-22T04:02:43Z
2021-11-20T23:23:16Z
2020-01-29T20:24:08Z
MEMBER
null
582 tests are failing locally, so there's some work yet to be done. @mroeschke 3 of those 582 are in window tests. Can you take a look and suggest where an edit should go?
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31,196
TST: More regression tests
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2020-01-22T05:20:27Z
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MEMBER
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- [x] closes #30986 - [x] closes #19020 - [x] closes #19974 - [x] closes #18265 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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dataframe memory usage increased after .loc[] or df[a:b]
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2020-01-22T05:23:05Z
2020-01-27T23:11:46Z
2020-01-23T00:56:50Z
NONE
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#### Code Sample ```python import numpy import pandas def test1(freq): """ after using df.loc[], no matter how big/small the df is, the memory usage is increased, almost doubled """ index = pandas.date_range('2019-01-01', '2019-01-02', freq=freq, tz='UTC...
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DOC Remove Python 2 specific comments from documentation
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2020-01-22T09:45:56Z
2020-01-26T09:42:56Z
2020-01-26T02:31:18Z
CONTRIBUTOR
null
A few minor fixes to remove Python 2 specific comments from the documentation, since 1.0 does not support Python 2.
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31,199
Writing HDF5 with StringDtype columns fails with AttributeError: 'StringArray' object has no attribute 'size'
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6
2020-01-22T10:33:25Z
2020-05-03T20:34:58Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas df = pandas.read_csv("s3://noaa-global-hourly-pds/2019/72047299999.csv", parse_dates=["DATE"], dtype=dict.fromkeys(["STATION", "NAME", "REPORT_TYPE", "QUALITY_CONTROL", "WND", "CIG", "VIS", "TMP", "DEW", "S...
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553,461,830
MDU6SXNzdWU1NTM0NjE4MzA=
31,200
raise more explanatory error when failing initialising pd.Timestamp
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2
2020-01-22T10:54:37Z
2020-02-26T02:19:00Z
2020-02-26T02:19:00Z
NONE
null
It's not really an issue, just a suggestion. I noticed this behavior when initialising a timestamp: ```python # this doesn't fail pd.Timestamp('2020') # this does pd.Timestamp(year=2020) ``` I guess that the latter fails because of args/kwargs specification issues (when an integer is passed it is read as a p...
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31,201
COMPAT: numpy object array coercion warnings
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2020-01-22T11:00:28Z
2020-01-22T16:20:33Z
2020-01-22T14:46:59Z
MEMBER
null
#### Problem description Since at least a couple hours ago, the Numpy Dev pipeline fails 39 tests: ``` ##[error]39 test(s) failed, 60964 test(s) collected. ``` I checked and all 39 are like this: ``` numpy.VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of ...
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MDU6SXNzdWU1NTM1MDc3NzQ=
31,202
IntervalIndex.map raises "TypeError: Unexpected keyword arguments {'closed'}" in pandas 1.0.0rc0
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1
2020-01-22T12:25:51Z
2020-01-23T14:16:00Z
2020-01-23T14:16:00Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python pd.interval_range(1,3,2).map(str) ``` > ``` > TypeError Traceback (most recent call last) > <ipython-input-4-91424d1c664f> in <module> > ----> 1 pd.interval_range(1,3,2).map(str) > > C:\Miniconda3\envs\pandas_n...
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MDExOlB1bGxSZXF1ZXN0MzY1ODMzMjA3
31,203
numpydev ragged array dtype warning
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2020-01-22T12:41:36Z
2020-01-22T17:48:55Z
2020-01-22T14:46:59Z
CONTRIBUTOR
null
Closes #31201 There are still two failures in the Categorical constructor I'm looking into. Not sure what's best yet. ```python In [2]: pd.Categorical(['a', ('a', 'b')]) /Users/taugspurger/sandbox/pandas/pandas/core/dtypes/cast.py:1066: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences...
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553,526,305
MDU6SXNzdWU1NTM1MjYzMDU=
31,204
convert numeric column to dedicated `pd.StringDtype()`
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2020-01-22T13:01:30Z
2020-05-26T22:20:20Z
2020-05-26T22:20:20Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python pd.Series(range(5, 10), dtype="Int64").astype("string") ``` raises `TypeError: data type not understood` while ```python pd.Series(range(5, 10)).astype("string") ``` raises `ValueError: StringArray requires a sequence of strings or missing ...
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31,205
BUG: plotting regular tz-aware timeseries gives UserWarning
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1
2020-01-22T13:31:48Z
2020-02-03T07:36:36Z
2020-02-03T07:36:36Z
MEMBER
null
With this example of plotting a tz-aware, regular timeseries: ``` df = pd.DataFrame(np.random.randn(100, 3), index=pd.date_range("2012", freq='H', periods=100, tz='UTC'), columns=['a', 'b', 'c']) df.plot() ``` gives a warning that the user shouldn't see I think (there is nothing to do about it): ``` /home/jo...
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Backport PR #31017 on branch 1.0.x (REG: restore format_type attr)
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2020-01-22T14:17:27Z
2020-01-23T09:41:34Z
2020-01-22T21:08:28Z
NONE
null
Backport PR #31017: REG: restore format_type attr
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BUG: no longer raise user warning when plotting tz aware time series
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2020-01-22T14:35:16Z
2020-02-05T18:54:49Z
2020-02-03T07:36:36Z
MEMBER
null
- [x] closes #31205 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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dtypes convert to object on merge on 1.0.0rc0
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1
2020-01-22T14:56:15Z
2020-01-23T04:26:32Z
2020-01-23T04:26:32Z
NONE
null
#### dtypes convert to object on merge Currently on 1.0.0rc0, when doing a left merge with datetime64[ns] on the right dataframe, if any rows from the left dataframe don't have a match on the right dataframe, then the result dataframe converts datetime to be object. If all items match, then it will remain as a dateti...
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31,209
Backport PR #31203 on branch 1.0.x (numpydev ragged array dtype warning)
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2020-01-22T15:10:17Z
2020-01-23T09:41:02Z
2020-01-22T21:06:16Z
NONE
null
Backport PR #31203: numpydev ragged array dtype warning
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COMPAT: Argsort position matches NumPy
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9
2020-01-22T15:14:38Z
2020-01-28T06:43:30Z
2020-01-27T14:05:16Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/29884 Bit of a WIP, CI is probably going to fail here. One API question, do we want NaT to sort at the end, regardless of the NumPy version? Or should we match the behavior of the installed NumPy (NaT at the start for <1.18, at the end for >=1.18)?
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BUG: Fixed upcast dtype for datetime64 in merge
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2
2020-01-22T15:34:12Z
2020-01-23T20:57:16Z
2020-01-23T04:26:33Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/31208
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CI: Web and docs (pull_request) fails: can't rich intershipinx inventory
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10
2020-01-22T15:47:23Z
2020-01-22T20:49:54Z
2020-01-22T20:49:54Z
MEMBER
null
#### Problem description Seems like currently CI / Web and docs (pull_request) fails for everyone with this error message: ``` WARNING: failed to reach any of the inventories with the following issues: intersphinx inventory 'http://www.statsmodels.org/devel/objects.inv' not readable due to ValueError: unknown or un...
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DOC: pin statsmodels inventory
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2
2020-01-22T15:57:30Z
2020-01-22T18:18:27Z
2020-01-22T18:18:22Z
CONTRIBUTOR
null
xref https://github.com/pandas-dev/pandas/issues/31212
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min(axis = 1) propagates NAN when encountering missing timestamps
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1
2020-01-22T16:13:44Z
2020-01-22T16:27:44Z
2020-01-22T16:27:43Z
NONE
null
Hello there, Consider this: ``` dftest = pd.DataFrame({'time1' : ['2019-01-01- 10:10:10.123456Z', '2019-01-01- 10:10:10.123456Z'], 'time2' : ['ha', 'pandas!!!'], 'time3' :['here we go', ...
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