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https://api.github.com/repos/pandas-dev/pandas/issues/28113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28113/events | https://github.com/pandas-dev/pandas/pull/28113 | 484,538,353 | MDExOlB1bGxSZXF1ZXN0MzEwMzkzNDg3 | 28,113 | BUG: Fix groupby quantile array | {
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This is a regression in 0.25.2. It was partially fixed in #28085, but there was an issue with the first fix. | {
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- [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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https://api.github.com/repos/pandas-dev/pandas/issues/28115 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28115/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28115/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28115/events | https://github.com/pandas-dev/pandas/issues/28115 | 484,569,404 | MDU6SXNzdWU0ODQ1Njk0MDQ= | 28,115 | COMPAT: Implement Timestamp.fromisocalendar | {
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> Added new alternate constructors datetime.date.fromisocalendar() and datetime.datetime.fromisocalendar(), which construct date and datetime objects respectively from ISO year... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28116 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28116/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28116/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28116/events | https://github.com/pandas-dev/pandas/issues/28116 | 484,582,206 | MDU6SXNzdWU0ODQ1ODIyMDY= | 28,116 | DataFrame.eval doesn't handle Ellipses | {
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```python
In [4]: df = pd.DataFrame({"A": ['a', 'b']})
In [5]: df.eval("A == ...")
```
```pytb
---------------------------------------------------------------------------
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https://api.github.com/repos/pandas-dev/pandas/issues/28117 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28117/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28117/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28117/events | https://github.com/pandas-dev/pandas/issues/28117 | 484,631,373 | MDU6SXNzdWU0ODQ2MzEzNzM= | 28,117 | Enable pd.options.display.html.table_schema = True By Default | {
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**This is an enhancement request**
In order to enable a pandas to provide a JSON schema representation of the dataframe utilizing ```application/vnd.dataresource+json```, ```pd.options.display.html.table_schema``` must be set to ```True```.
I'm just wondering if this could be set to Tr... | {
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In [3]: t = pd.array(['a', 'b', 'c'])
In [4]: t[0] = 't'
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-4-7d1c8d6d2e6a> in <module>
----> 1 t[0] = 't'
~/sandbox/pandas/pandas/core... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28119 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28119/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28119/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28119/events | https://github.com/pandas-dev/pandas/pull/28119 | 484,671,994 | MDExOlB1bGxSZXF1ZXN0MzEwNTAxODcy | 28,119 | BUG: Fixed PandasArray.__setitem__ with str | {
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Closes https://github.com/pandas-dev/pandas/issues/28150 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28120/events | https://github.com/pandas-dev/pandas/issues/28120 | 484,694,343 | MDU6SXNzdWU0ODQ2OTQzNDM= | 28,120 | to_datetime errors='ignore' unexpected behavior | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28122/events | https://github.com/pandas-dev/pandas/issues/28122 | 484,743,321 | MDU6SXNzdWU0ODQ3NDMzMjE= | 28,122 | Performance regression uint64 groupby().min() in 0.25.1 vs. 0.24.2 | {
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```python
import pandas as pd
dft = pd.read_csv('pandas_gb_min_test.csv.gz', parse_dates=['split_lutevent_time_offset'])
# An unsigned dtype is slow (23 s) on 0.25.1, but fast on 0.24.2.
# Commenting out this line on 0.25.1 restores performance
dft['split_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28123 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28123/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28123/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28123/events | https://github.com/pandas-dev/pandas/pull/28123 | 484,761,954 | MDExOlB1bGxSZXF1ZXN0MzEwNTcyMDg2 | 28,123 | DOC: Fix RangeIndex and other docstrings for missing period in summary | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-08-24T01:12:35Z | 2019-08-26T09:40:22Z | 2019-08-26T02:19:38Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
@datapythonista
I added the period to the following cases:
pandas.Categorical.dtype: Summary does not end with a period
pandas.merge_ordered: S... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28124 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28124/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28124/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28124/events | https://github.com/pandas-dev/pandas/pull/28124 | 484,780,742 | MDExOlB1bGxSZXF1ZXN0MzEwNTg1MzM3 | 28,124 | Allow `fillna(value=None, method="constant")` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28125/events | https://github.com/pandas-dev/pandas/issues/28125 | 484,787,922 | MDU6SXNzdWU0ODQ3ODc5MjI= | 28,125 | CI allowed failure - TestReadHtml.test_thousands_macau_index_col[bs4] | {
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... | closed | false | null | [] | null | 6 | 2019-08-24T07:10:48Z | 2019-11-15T15:11:21Z | 2019-11-15T15:11:09Z | MEMBER | null | ```
=================================== FAILURES ===================================
_______________ TestReadHtml.test_thousands_macau_index_col[bs4] _______________
[gw1] linux -- Python 3.6.9 /home/travis/miniconda3/envs/pandas-dev/bin/python
self = <pandas.tests.io.test_html.TestReadHtml object at 0x7f11591bf5c0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28126 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28126/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28126/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28126/events | https://github.com/pandas-dev/pandas/issues/28126 | 484,794,500 | MDU6SXNzdWU0ODQ3OTQ1MDA= | 28,126 | progress bar for read_csv is needed | {
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#### Problem description
I want a prrogress bar when **read_csv** is used when the datasets is very large.
because it will be stuck with no response,although I understand that it is busy.
Thanks
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xref #27568
```
$ mypy pandas/util/_decorators.py --check-untyped-defs --follow-imports skip
pandas\util\_decorators.py:181: error: Item "function" of "Union[Dict[Any, Any], Callable[[Any], Any]]" has no attribute "get"
pandas\util\_decorators.py:183: error: "Dict[Any, Any]" not callable
pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28129 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28129/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28129/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28129/events | https://github.com/pandas-dev/pandas/pull/28129 | 484,861,149 | MDExOlB1bGxSZXF1ZXN0MzEwNjM5Nzg4 | 28,129 | TYPING: check-untyped-defs for io.formats | {
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```
pandas\io\formats\console.py:68: error: Name '__IPYTHON__' is not defined
pandas\io\formats\console.py:78: error: Name 'get_ipython' is not defined
pandas\io\formats\csvs.py:230: error: Need type annotation for 'encoded_labels'
pandas\io\formats\css.py:92: error: Incompatible types in assignment ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28130 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28130/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28130/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28130/events | https://github.com/pandas-dev/pandas/pull/28130 | 484,868,913 | MDExOlB1bGxSZXF1ZXN0MzEwNjQ0NDQx | 28,130 | Add Indent Support in to_json | {
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- [X] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
After some of the recent refactor this should be relatively easy to do after vendoring a few updates | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28131 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28131/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28131/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28131/events | https://github.com/pandas-dev/pandas/pull/28131 | 484,884,481 | MDExOlB1bGxSZXF1ZXN0MzEwNjU0MzQ2 | 28,131 | Fix slicer assignment bug | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-25T03:07:38Z | 2019-08-29T11:57:25Z | 2019-08-28T23:01:47Z | CONTRIBUTOR | null | - [x] closes #26939
- [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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https://api.github.com/repos/pandas-dev/pandas/issues/28132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28132/events | https://github.com/pandas-dev/pandas/issues/28132 | 484,888,400 | MDU6SXNzdWU0ODQ4ODg0MDA= | 28,132 | Inplace support for add_suffix and add_prefix | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2019-08-25T04:15:12Z | 2019-08-25T21:41:33Z | 2019-08-25T21:41:33Z | CONTRIBUTOR | null | Hi,
Why is there no support for `inplace = True` in `add_suffix('_some_suffix')` or `add_prefix('_some_prefix')`.
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https://api.github.com/repos/pandas-dev/pandas/issues/28133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28133/events | https://github.com/pandas-dev/pandas/issues/28133 | 484,913,717 | MDU6SXNzdWU0ODQ5MTM3MTc= | 28,133 | Missing Imports | {
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```
[mypy]
ignore_missing_imports=True
```
mypy states "We recommend using this approach only as a last resort: it’s equivalent to adding a # type: ignore to all unresolved imports in your codebase." https://mypy.readthedocs.io/en/latest/running_mypy.html#missing-imports
the n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28134 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28134/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28134/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28134/events | https://github.com/pandas-dev/pandas/pull/28134 | 484,919,505 | MDExOlB1bGxSZXF1ZXN0MzEwNjc2OTU1 | 28,134 | TYPING: _pytest.mark.structures.MarkDecorator -> Callable | {
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```
pandas\util\_test_decorators.py:106: error: Return type becomes "Any" due to an unfollowed import
pandas\util\_test_decorators.py:120: error: Return type becomes "Any" due to an unfollowed import
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28135/events | https://github.com/pandas-dev/pandas/pull/28135 | 484,923,946 | MDExOlB1bGxSZXF1ZXN0MzEwNjc5OTI5 | 28,135 | TYPING: add stubs for _packer and _unpacker | {
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```
pandas\io\packers.py:800: error: Base type _Packer becomes "Any" due to an unfollowed import
pandas\io\packers.py:820: error: Base type _Unpacker becomes "Any" due to an unfollowed import
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28136 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28136/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28136/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28136/events | https://github.com/pandas-dev/pandas/issues/28136 | 484,929,664 | MDU6SXNzdWU0ODQ5Mjk2NjQ= | 28,136 | Docstring in pickle_compat.py out of date | {
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This docstring https://github.com/pandas-dev/pandas/blob/master/pandas/compat/pickle_compat.py#L196-L201 no longer applies as the `compat` kwarg is no longer present
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-25T13:09:35Z | 2019-08-25T15:58:05Z | 2019-08-25T15:56:16Z | CONTRIBUTOR | null | - [X] closes #28136
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
For a change this minor that affects only a comment, not sure if a `whatsnew entry` update is needed? | {
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If there are ... | {
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import numpy as np
import pandas as pd
np.random.seed(1234)
df = pd.DataFrame(np.random.random((5000, 100))) ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28140/events | https://github.com/pandas-dev/pandas/pull/28140 | 484,957,817 | MDExOlB1bGxSZXF1ZXN0MzEwNzAyNzg3 | 28,140 | TYPING: --disallow-any-expr for HTMLFormatter.__init__ | {
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pandas\io\formats\html.py:44: error: Expression type contains "Any" (has type "Union[str, List[Any], Tuple[Any, ...], None]")
pandas\io\formats\html.py:49: error: Expression type contains "Any" (has type "Dict[str, Any]")
pandas\io\formats\html.py:49: error: Expression has type "Any"
pandas\io\formats\html.py:5... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28141/events | https://github.com/pandas-dev/pandas/pull/28141 | 484,975,611 | MDExOlB1bGxSZXF1ZXN0MzEwNzE0MzYy | 28,141 | TYPING: --check-untyped-defs for Index.__new__ | {
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```
pandas\core\indexes\base.py:335: error: Incompatible types in assignment (expression has type "TimedeltaIndex", variable has type "DatetimeIndex")
pandas\core\indexes\base.py:338: error: Incompatible types in assignment (expression has type "TimedeltaIndex", variable has type "DatetimeIndex")
pand... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28142/events | https://github.com/pandas-dev/pandas/issues/28142 | 484,977,249 | MDU6SXNzdWU0ODQ5NzcyNDk= | 28,142 | Typing Stubs and PEP 561 compatibility | {
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do we want to make pandas PEP 561 compatible?
https://mypy.readthedocs.io/en/latest/installed_packages.html#making-pep-561-compatible-packages
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https://api.github.com/repos/pandas-dev/pandas/issues/28143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28143/events | https://github.com/pandas-dev/pandas/issues/28143 | 484,984,100 | MDU6SXNzdWU0ODQ5ODQxMDA= | 28,143 | Use clang-format for Extension Modules | {
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"default... | closed | false | null | [] | null | 1 | 2019-08-25T22:34:32Z | 2020-02-16T21:49:36Z | 2020-02-16T21:49:36Z | MEMBER | null | Right now we use cpplint for header files only. Unfortunately this leaves some of our extension module implementations rather sloppy.
We could extend cpplint to those but from what I have seen it doesn't have an opinion on indentation, which coming from a Python perspective could be useful. It also not surprisingly ... | {
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@TomAugspurger may have interest | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28145 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28145/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28145/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28145/events | https://github.com/pandas-dev/pandas/issues/28145 | 485,001,384 | MDU6SXNzdWU0ODUwMDEzODQ= | 28,145 | Series construction: _try_cast typo, function often taking slow route? | {
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```python
import pandas as pd
from pandas.core.internals.construction import _try_cast
arr = np.arange(0, 10, dtype = "int64")
# should return early
_try_cast(arr, None, False, False)
```
#### Problem description
During series construction, a functi... | {
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"followers_url": "https://api.github.com/us... | 5 | 2019-08-26T14:26:03Z | 2019-10-15T11:31:52Z | 2019-10-15T11:31:52Z | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/pull/28101 gets things passing with Python 3.8 locally.
Ideally, we'd have 3.8 actually tested on CI before releasing 0.25.2. Hopefully once https://github.com/conda-forge/python-feedstock/pull/271 is up, we can do that (and maybe build our deps from source).
Once we're tested... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28148/events | https://github.com/pandas-dev/pandas/pull/28148 | 485,266,907 | MDExOlB1bGxSZXF1ZXN0MzEwOTQyNzA5 | 28,148 | DOC: Set 0.25.2 in index.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28149 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28149/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28149/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28149/events | https://github.com/pandas-dev/pandas/pull/28149 | 485,267,580 | MDExOlB1bGxSZXF1ZXN0MzEwOTQzMjQ3 | 28,149 | DOC: Set 1.0.0 in index.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28150/events | https://github.com/pandas-dev/pandas/issues/28150 | 485,272,963 | MDU6SXNzdWU0ODUyNzI5NjM= | 28,150 | API/BUG: PandasArray __setitem__ can change underlying buffer | {
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... | 8 | 2019-08-26T14:40:41Z | 2019-12-30T16:26:25Z | 2019-12-30T16:26:24Z | MEMBER | null | Discussed briefly in #28119, the ndarray backing a PandasArray can be swapped out by setitem, which can have surprising behavior for views
```
arr = pd.array([1, 2, 3])
view1 = arr.view()
view2 = arr[:]
view3 = np.asarray(arr)
arr[0] = 9
assert view1[0] == 9
assert view2[0] == 9
assert view3[0] == 9
ar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28151/events | https://github.com/pandas-dev/pandas/pull/28151 | 485,274,090 | MDExOlB1bGxSZXF1ZXN0MzEwOTQ4NTMx | 28,151 | PERF: Speed up Spearman calculation | {
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~~This PR ranks data outside the nested loop in `nancorr_spearman` so as to speed up the calculation~~ (closes #28139). The performance benchmarks show a nice impr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28152/events | https://github.com/pandas-dev/pandas/issues/28152 | 485,287,223 | MDU6SXNzdWU0ODUyODcyMjM= | 28,152 | MultiIndex.from_product converts datetime.date to pd.Timestamp | {
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... | 5 | 2019-08-26T15:07:58Z | 2021-06-19T03:47:25Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
a = pd.Timestamp("2019-2-2").date()
i = pd.MultiIndex.from_product([
[a, a],
[2, 3]
])
print("a={} ({}".format(a, type(a)))
print(i[0])
```
Output is :
```
a=2019-02-02 (<class 'datetime.date'>
(Timest... | {
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"description": "to_sql, read_sql, read_s... | open | false | null | [] | null | 0 | 2019-08-26T19:24:58Z | 2020-05-16T04:00:35Z | null | NONE | null | I have a table containing about 28 million rows. I read the data in 1 million row chunks:
```python
params = urllib.parse.quote_plus("DRIVER={SQL Server Native Client 11.0};"
"SERVER=xxxx;"
"DATABASE=xxxx;"
"Trusted_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28154 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28154/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28154/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28154/events | https://github.com/pandas-dev/pandas/pull/28154 | 485,429,615 | MDExOlB1bGxSZXF1ZXN0MzExMDc1MTEz | 28,154 | DOC: whatsnew for 28099 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28155 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28155/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28155/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28155/events | https://github.com/pandas-dev/pandas/issues/28155 | 485,441,006 | MDU6SXNzdWU0ODU0NDEwMDY= | 28,155 | Inconsistency with ints and floats | {
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] | closed | false | null | [] | null | 6 | 2019-08-26T20:41:13Z | 2020-04-05T00:12:40Z | 2020-04-05T00:12:39Z | NONE | null | #### Problem description
1. pandas statistics sometimes produce numpy data types and sometimes not. This is inconsistent.
2. json_dumps cannot serialize int64 (not a pandas issue but that's how I got here)
I created a dictionary containing pandas stats. The input is a pandas series, s, dtype float64.
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-08-26T22:12:39Z | 2020-06-30T13:01:24Z | 2020-06-30T13:01:24Z | CONTRIBUTOR | null | I was trying to follow the documentation at https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#indexing but ran into an unintuitive bug with HDFStore index creation. I thought I would report it in case someone else runs across this problem.
First, I create 2 dataframes and an HDFStore:
```python
>>> i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28158/events | https://github.com/pandas-dev/pandas/pull/28158 | 485,489,537 | MDExOlB1bGxSZXF1ZXN0MzExMTI1MDc0 | 28,158 | CLN: Use ABC classes for isinstance checks, remove unnecessary imports | {
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Note there may be additional files which can be cleaned as the script does not parse multi-line statements.
- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/28159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28159/events | https://github.com/pandas-dev/pandas/pull/28159 | 485,492,956 | MDExOlB1bGxSZXF1ZXN0MzExMTI3ODQ4 | 28,159 | BUG: do not hard-code matplotlib backend for boxplot | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28160/events | https://github.com/pandas-dev/pandas/pull/28160 | 485,497,719 | MDExOlB1bGxSZXF1ZXN0MzExMTMxODYz | 28,160 | Backport PR #28113 on branch 0.25.x (BUG: Fix groupby quantile array) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28161/events | https://github.com/pandas-dev/pandas/pull/28161 | 485,521,071 | MDExOlB1bGxSZXF1ZXN0MzExMTUxMjEw | 28,161 | BUG: fix+test Timestamp with int array | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28162/events | https://github.com/pandas-dev/pandas/issues/28162 | 485,524,167 | MDU6SXNzdWU0ODU1MjQxNjc= | 28,162 | comparison_with_sql document: adding a calculated column | {
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In section "SELECT", the important use case of adding a calculated column is omitted.
I suggest adding something like the following:
select *, tip/total_bill as tip_rate from tips
pd.concat([tips, pd.Series(... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-27T02:12:23Z | 2019-09-03T19:01:09Z | 2019-09-03T19:01:09Z | CONTRIBUTOR | null | Right now a `pd.set_option('display.backend', name)` will
1. look for an entrypoint
2. fall back to importing the module `name` and setting that to the backend
In the second case, the backend's implementation isn't validated until a plot is actually requested. We should validate that `name.plot` is a thing when ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28164 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28164/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28164/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28164/events | https://github.com/pandas-dev/pandas/pull/28164 | 485,550,092 | MDExOlB1bGxSZXF1ZXN0MzExMTczODU3 | 28,164 | Validate plot backend when setting. | {
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In [1]: import pandas as pd
In [2]: import sys
In [3]: import types
In [4]: module = types.ModuleType("foo")
In [5]: sys.modules['foo'] = module
In [6]: pd.set_option('plotting.backend', 'foo')
---------------------------------------------------------------------------
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28165/events | https://github.com/pandas-dev/pandas/pull/28165 | 485,560,343 | MDExOlB1bGxSZXF1ZXN0MzExMTgxNzg2 | 28,165 | ENH: implement TimedeltaArray/TimedeltaIIndex sum, median, std | {
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- [x] closes #25335 | {
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... | 2 | 2019-08-27T05:40:41Z | 2019-11-08T16:47:37Z | 2019-11-08T16:47:37Z | CONTRIBUTOR | null | The documentation for merging categorical arrays ([here](https://pandas.pydata.org/pandas-docs/stable/user_guide/categorical.html#merging)) states that calling `pd.concat` on two data frames with categorical columns will throw an error. This doesn't throw an error, and probably shouldn't following #13767.
Here's the... | {
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] | closed | false | null | [] | null | 1 | 2019-08-27T06:24:57Z | 2019-08-27T07:56:44Z | 2019-08-27T07:56:43Z | NONE | null | ```python
In [11]: %prun -l 4 apply_integrate_f(df['a'].to_numpy(),
....: df['b'].to_numpy(),
....: df['N'].to_numpy())
....:
File "<ipython-input-11-613f5c6ec02d>", line 2
df['b'].to_numpy(),
^
IndentationError: unexpected indent
`... | {
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] | open | false | null | [] | null | 15 | 2019-08-27T08:11:58Z | 2020-03-24T21:42:31Z | null | MEMBER | null | In #28014 we added a first draft of the new pandas website. It can be seen here:
https://datapythonista.github.io/pandas-web/ (will be at https://dev.pandas.io when #28497 is merged).
Things that are already in the home page, or that could be added:
- [X] Short sentence to summarize what pandas is about
- [X] L... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28169 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28169/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28169/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28169/events | https://github.com/pandas-dev/pandas/issues/28169 | 485,701,571 | MDU6SXNzdWU0ODU3MDE1NzE= | 28,169 | Merging of DataFrames does not keep order of suffixes | {
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According to my example the suffixes are first sorted alphabe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28170/events | https://github.com/pandas-dev/pandas/issues/28170 | 485,737,867 | MDU6SXNzdWU0ODU3Mzc4Njc= | 28,170 | [Feature Request] Export DataFrame/Series | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28171 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28171/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28171/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28171/events | https://github.com/pandas-dev/pandas/issues/28171 | 485,784,548 | MDU6SXNzdWU0ODU3ODQ1NDg= | 28,171 | DataFrame.multiply(Series, axis=1) with 10k+ rows raises AttributeError | {
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] | closed | false | null | [] | null | 2 | 2019-08-27T12:38:41Z | 2019-08-27T13:44:42Z | 2019-08-27T13:25:31Z | CONTRIBUTOR | null | #### Code Sample raising the error:
```python
df = pd.DataFrame(data=np.random.rand(15000, 5), columns=['x', 'a', 'ab', 'b', 'c'])
ser = pd.Series(data=[1.1, 9, 17.8], index=['a', 'b', 'c'])
df.multiply(ser, axis=1)
```
not raising the error if up to 10000 rows are taken:
```python
# NO error:
df.iloc[:10000... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2019-08-27T12:48:38Z | 2019-09-23T16:35:00Z | 2019-09-23T16:34:56Z | CONTRIBUTOR | null | - [x] closes #14119
- [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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cc @WillAyd | {
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#### Problem description
already have installed numpy==1.17.1
but installation of pandas > 0.23.4 fails with
```
ERROR: Command errored out with exit status 1:
command: /usr/local/bin/python -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-hmmx65yg/pandas/setup.py'"'"'; __file__=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28175 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28175/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28175/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28175/events | https://github.com/pandas-dev/pandas/issues/28175 | 485,818,709 | MDU6SXNzdWU0ODU4MTg3MDk= | 28,175 | get_dummies ran for 20 minutes and ended without result | {
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My Python file was only just this:
p_csv= pandas.read_csv(("/myDir/myFile.csv"), index_col=0)
pandas.get_dummies(p_csv, prefix="myDATA_", columns="myDATA")
p_csv.to_csv("/myDir/myNew.csv")
#### Problem description
The script ran in pycharm for over 20 minutes and ended with a SIGKILL. No result.
Th... | {
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] | closed | false | null | [] | null | 22 | 2019-08-27T14:36:58Z | 2020-05-08T16:40:48Z | 2020-05-08T16:40:48Z | CONTRIBUTOR | null | - closes #25353
- 1 test added
- passes black pandas
- whatsnew entry
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The current plotting API feels inconsistent and I think it's the one we have for historical reasons, and not the one we want. I propose the next changes:
1. Leave the current API based on the `.plot` accessor as is (e.g. `Series.plot.hist`, `Series.plot(kind='box')`). In the future we should... | {
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```python
# Your code here
pd.read_csv('../Data/features/data.csv')
```
#### Problem description
Trying to read a csv file with 300+ columns. The first two of them are string, 300 float numbers and the rest a boolean (0, 1). However, I get this error
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As proposed in #28177 I think those should be moved out of pandas or deprecated, but I guess it's worth having them documented as the rest of similar functions until that happens.
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... | open | false | null | [] | null | 2 | 2019-08-27T17:20:38Z | 2020-04-02T05:04:59Z | null | MEMBER | null | to_json (and potentially others) handles the conversion of datetime-like objects to either epoch or isoformats depending on user input. All of this logic is currently housed in the objToJSON.c file and is a major reason why that extension module is rather complex / convoluted.
I think these methods may be general pu... | {
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- [x] closes #10065
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@hugoecarl
@guipleite
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Updated docs about merging categorical to reflect current behavior. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28186/events | https://github.com/pandas-dev/pandas/issues/28186 | 486,246,939 | MDU6SXNzdWU0ODYyNDY5Mzk= | 28,186 | pandas.DataFrame.astype casts numerical nulls to string 'nan' | {
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] | closed | false | null | [] | null | 1 | 2019-08-28T08:58:49Z | 2019-08-28T15:22:29Z | 2019-08-28T15:22:29Z | NONE | null |
```python
import pandas as pd
import numpy as np
s = pd.Series([1, 2, np.nan])
print str(s.isnull().any())
s = s.astype(str)
print str(s.isnull().any())
##output
True
False
```
#### Problem description
When casting a series from float to string, the nulls in float should also be nulls in string. ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28187 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28187/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28187/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28187/events | https://github.com/pandas-dev/pandas/issues/28187 | 486,314,399 | MDU6SXNzdWU0ODYzMTQzOTk= | 28,187 | DOC: Fix PR08 in docstrings | {
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... | [] | closed | false | null | [] | null | 2 | 2019-08-28T11:12:53Z | 2019-08-30T21:53:40Z | 2019-08-30T21:53:40Z | CONTRIBUTOR | null | Hi all,
This is my very first time contributing to an open source project and have tried to follow all guidelines. Apologies if I missed something.
This relates to [#28031](https://github.com/pandas-dev/pandas/pull/28031)
I have ran `python ./scripts/validate_docstrings.py --errors=PR08` and recieved the fol... | {
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"default"... | closed | false | null | [] | null | 5 | 2019-08-28T11:31:07Z | 2020-06-05T17:26:58Z | 2020-06-05T17:26:43Z | NONE | null | I measured the creation of an empty dataframe with 3 similar arguments:
```python
import pandas as pd
cols = np.arange(100)
index = np.arange(1000)
%timeit pd.DataFrame(columns=cols, index=index)
# 100 loops, best of 3: 18.8 ms per loop
%timeit pd.DataFrame({}, columns=cols, index=index)
100 loops, best of ... | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2019-08-28T11:43:09Z | 2020-02-27T23:07:26Z | 2020-02-27T23:07:26Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
pdf = pd.DataFrame({
"idx": pd.Categorical(["1"] * 4),
"value": [1, 2, 3, 4]
})
pdf = pdf.set_index("idx")
pdf
```
<div>
<table border="1" class="dataframe">
<thead>
<tr sty... | {
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... | 18 | 2019-08-28T12:32:31Z | 2021-07-11T06:18:12Z | 2021-07-11T06:18:12Z | NONE | null | Currently I am not able to use groupby on columns to produce groupings that contain combinations of same columns. Let's say I have a dataframe with columns A, B , C and D. I would like to create groups that contain [A,B], [A,C] and [B,D].
One obvious way to implement this would be to allow as argument a dictionary ... | {
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a daraframe have valida shape number, but its index is a blank list, which start from 0,en... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28192 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28192/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28192/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28192/events | https://github.com/pandas-dev/pandas/issues/28192 | 486,375,196 | MDU6SXNzdWU0ODYzNzUxOTY= | 28,192 | Rolling with offset and axis=1 | {
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Here I have a DataFrame with a DatetimeIndex for the columns:
```python
cols = pd.date_range('2019-8-01', '2019-08-07', freq='D')
data = np.ones((5, len(cols)))
df = pd.DataFrame(data, columns=cols)
df.rolling('1d', axis=1).sum()
```
The above gives 'ValueError: window must be an integer'
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```python
pd.to_datetime('xx 2019-8-1 xxx',format='%Y-%m-%d',exact=False)
```
#### Problem description
ValueError: time data xx 2019-8-1 xxx doesn't match format specified
#### Expected Output
Timestamp('2019-08-01 00:00:00')
####
Normal when executin... | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame(data = {
"x": [1, 1, 1],
"y": [np.nan, np.nan, np.nan],
"z": [1, 2, 3]
})
# Works on SeriesGroupBy
df.groupby(["x", "y"])["z"].quantile(0.5)
# Segfault on DataFrameGroupBy
df.groupby(["x", "y"])[["z"]].... | {
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This PR adds just the skeleton so that the attributes, methods and arguments available are known.
in this PR, the methods starting with an underscore have been omitted and the attributes typed with Any. This follows default stubgen output. https://mypy.readthedocs.io/en/latest/stubgen.html#automatic-s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28196/events | https://github.com/pandas-dev/pandas/issues/28196 | 486,509,884 | MDU6SXNzdWU0ODY1MDk4ODQ= | 28,196 | Fix GL01,GL02 errors in docstrings | {
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Currently running `./scripts/validate_docstrings.py --errors=GL01,GL02` yields:
```
pandas.tseries.offsets.DateOffset.normalize: Docstring text (summary) should start in the line... | {
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- [0] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/28198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28198/events | https://github.com/pandas-dev/pandas/pull/28198 | 486,535,121 | MDExOlB1bGxSZXF1ZXN0MzExOTc1Mzg5 | 28,198 | CLN: Catch more specific exception in groupby.ops | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28199/events | https://github.com/pandas-dev/pandas/pull/28199 | 486,543,640 | MDExOlB1bGxSZXF1ZXN0MzExOTgyMjg5 | 28,199 | 0.24.x | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28200/events | https://github.com/pandas-dev/pandas/pull/28200 | 486,552,348 | MDExOlB1bGxSZXF1ZXN0MzExOTg5NDY5 | 28,200 | Update frame.py | {
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- [ ] closes #xxxx
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https://api.github.com/repos/pandas-dev/pandas/issues/28201 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28201/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28201/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28201/events | https://github.com/pandas-dev/pandas/pull/28201 | 486,556,893 | MDExOlB1bGxSZXF1ZXN0MzExOTkzMTk3 | 28,201 | 0.24.x | MyPy for Python2 Compatability - Patch "misplaced type annotation" | {
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**What was fixed?**
For Python 2 you need place mypy annotations `# type: ...` before docstrings. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28202 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28202/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28202/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28202/events | https://github.com/pandas-dev/pandas/issues/28202 | 486,558,666 | MDU6SXNzdWU0ODY1NTg2NjY= | 28,202 | DataFrame.nunique and Series.nunique not consistent when Empty | {
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Example A:
```python
>>> import pandas as pd
>>> df = pd.DataFrame({"a": [1, 2], "b": [3, 4], "c": [5, 6]})
>>> assert df.nunique().tolist() == [df[col].nunique() for col in df.columns]
# Both equal [2, 2, 2]
```
Example B:
```python
>>> df = pd.DataFr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28203 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28203/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28203/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28203/events | https://github.com/pandas-dev/pandas/pull/28203 | 486,575,210 | MDExOlB1bGxSZXF1ZXN0MzEyMDA4MTc2 | 28,203 | CLN: catch less inside try/except | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28204/events | https://github.com/pandas-dev/pandas/issues/28204 | 486,616,901 | MDU6SXNzdWU0ODY2MTY5MDE= | 28,204 | CSS selector for index cells | {
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![example](https... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/28206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28206/events | https://github.com/pandas-dev/pandas/issues/28206 | 486,648,076 | MDU6SXNzdWU0ODY2NDgwNzY= | 28,206 | EOFError on Gzipped CSV read from S3 | {
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"gis... | [] | closed | false | null | [] | null | 4 | 2019-08-28T22:56:17Z | 2019-08-29T00:00:51Z | 2019-08-29T00:00:51Z | NONE | null | Not sure if this is a Pandas issue or s3fs issue:
```python
import pandas as pd
data = pd.read_csv("s3://bucketname/file.csv.gz")
```
Gives the following error:
```
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/ubuntu/miniconda3/envs/test/lib/python3.7/site-packages/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28207/events | https://github.com/pandas-dev/pandas/issues/28207 | 486,658,656 | MDU6SXNzdWU0ODY2NTg2NTY= | 28,207 | Localizing dates to a timezone with dls after 2038 does not work (2038 Problem) | {
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] | closed | false | null | [] | null | 4 | 2019-08-28T23:34:09Z | 2019-08-30T17:39:01Z | 2019-08-30T17:39:01Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
pandas version 0.24.2
dates = pd.date_range(start='1/1/2037 00:00:00', end='12/31/2038 23:00:00', freq='h')
test = pd.to_datetime(dates, infer_datetime_format=True)
test = test.tz_localize('Etc/GMT+8').tz_convert('America/Los_Angeles')
```
###... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28208/events | https://github.com/pandas-dev/pandas/issues/28208 | 486,658,779 | MDU6SXNzdWU0ODY2NTg3Nzk= | 28,208 | Requiring default index for to_feather() is unintuitive | {
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"followers_url": "https://api.github.com/users/jorisva... | 6 | 2019-08-28T23:34:35Z | 2021-10-03T20:54:43Z | 2019-08-29T03:09:23Z | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame({'a': [1,2,3,4], 'b': [5,6,7,8]} )
df = df.drop(1)
df.to_feather("test.feather")
```
#### Problem description
I saw documentation in the code requiring default index at: https://github.com/pandas-dev/pandas/blob/794be8c7ab6897b7206f2c6ec60d22f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28209 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28209/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28209/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28209/events | https://github.com/pandas-dev/pandas/pull/28209 | 486,698,435 | MDExOlB1bGxSZXF1ZXN0MzEyMTA5MjY3 | 28,209 | STY: whitespace before class docstringsd | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-08-29T02:20:39Z | 2019-08-29T13:57:58Z | 2019-08-29T12:17:04Z | MEMBER | null | all occurrences of `'class.*:\n\n( )+"""'`
@datapythonista would it make sense to add this to the checks or docstring validation? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28210/events | https://github.com/pandas-dev/pandas/issues/28210 | 486,714,981 | MDU6SXNzdWU0ODY3MTQ5ODE= | 28,210 | cannot output csv with IntervalIndex | {
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Using `pd.interval_range`:
```python
pd.DataFrame({'a': [1, 2, 3]}, index=pd.interval_range(0, 1, periods=3)).to_csv('hello.csv')
```
Using `pd.IntervalIndex.from_arrays`:
```python
pd.DataFrame({'a': [1, 2, 3]}, index=pd.IntervalIndex.from_arrays(np.arra... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28211/events | https://github.com/pandas-dev/pandas/issues/28211 | 486,715,537 | MDU6SXNzdWU0ODY3MTU1Mzc= | 28,211 | 使用pivot_table传入values报错KeyError: 0.0 | {
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#发现了一个问题：
位置pandas\core\reshape\pivot.py 58行
源代码：
values_passed = values is not None
if values_passed:
if is_list_like(values):
values_multi = True
values = list(values)
else:
values_multi = False... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28212/events | https://github.com/pandas-dev/pandas/issues/28212 | 486,722,802 | MDU6SXNzdWU0ODY3MjI4MDI= | 28,212 | I think I submitted a pull request to this effect a few months ago, but it looks like you are still using the old donation link from Flipcause. The new donation link to salsa is here: https://numfocus.salsalabs.org/donate-to-pandas | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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