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https://api.github.com/repos/pandas-dev/pandas/issues/30214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30214/events | https://github.com/pandas-dev/pandas/pull/30214 | 536,519,182 | MDExOlB1bGxSZXF1ZXN0MzUyMDM1Mzc1 | 30,214 | Parallelized Build / CI | {
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A very slight boost to timing from a clean directory (bottleneck is in the Cythonize calls in both cases)
```sh
# Master
$ time python setup.py build_ext --inplace -j 4 :
62.93s user 3.18s system 97% cpu 1:07.77 t... | {
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Decided to create a PR for it. ;) | {
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https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=22986&view=logs
```python
Traceback (most recent call last):
File "D:\a\1\s\pandas\io\excel\_base.py", line 907, in __del__
self.close()
File "D:\a\1\s\pandas\io\excel\_base.py", line 890, in close
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NumPy defines an ``__array__`` protocol that allows developers to implement classes that can be converted to an array by calling ``np.asarray()`` . That makes it easy to have a common interface between libraries and ... | {
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- [x] closes #15286
- [x] closes #17198
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```
df.rename(columns={"old": "new"})
```
It would be nice to have a convenience method to rename one column like this:
```
df.renamecol("old", "new")
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#29922 didn't handle loc-indexing using a slice on non-string CategoricalIndexes. This fixes that. E.g. we had:
```python
>>> cat_idx = pd.... | {
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- [ ] closes #30056
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Currently on master, the following fails:
```python
import pandas as pd
# Empty Dataframe
df = pd.DataFrame({
"cat": pd.Categorical([], categories=list("ABC")... | {
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... | 2 | 2019-12-12T12:25:57Z | 2021-11-20T21:16:41Z | null | MEMBER | null | Similar issue as https://github.com/pandas-dev/pandas/issues/6581, but starting a fresh one for keeping a log of the deprecations we do in the 1.x releases.
## 1.0.0
- [ ] #27929 numeric_only to Categorical.min/max
- [ ] #29457 is_extension_type
- [ ] #29731 remove `keep_tz` kwarg from `DatetimeIndex.to_series`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30231/events | https://github.com/pandas-dev/pandas/pull/30231 | 537,039,679 | MDExOlB1bGxSZXF1ZXN0MzUyNDY1ODE0 | 30,231 | StringArray comparisions return BooleanArray | {
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cc @jorisvandenbossche | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30232/events | https://github.com/pandas-dev/pandas/issues/30232 | 537,049,243 | MDU6SXNzdWU1MzcwNDkyNDM= | 30,232 | Move 'For Developers' content from wiki to contributing docs. | {
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... | 19 | 2019-12-12T15:30:16Z | 2020-12-30T18:23:04Z | null | MEMBER | null | Content from the 'For Developers' content section of the wiki should be included in the pandas documentation where relevant.
- [ ] Code Style and Conventions
- [ ] Testing #20501
- [ ] Documenting new features and bug fixes
- [ ] Using Git
- [ ] Choosing Exceptions to Raise
- [ ] Tips & Tricks for pandas dev
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30233/events | https://github.com/pandas-dev/pandas/pull/30233 | 537,058,395 | MDExOlB1bGxSZXF1ZXN0MzUyNDgxMzg4 | 30,233 | CI: restore npdev build | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30234/events | https://github.com/pandas-dev/pandas/pull/30234 | 537,065,853 | MDExOlB1bGxSZXF1ZXN0MzUyNDg3NzAy | 30,234 | DOC: Add MultiIndex.get_locs to generated reference | {
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CLoses #30235 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30235/events | https://github.com/pandas-dev/pandas/issues/30235 | 537,074,809 | MDU6SXNzdWU1MzcwNzQ4MDk= | 30,235 | CI: Doc build failing | {
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/home/vsts/work/1/s/pandas/core/indexes/multi.py:docstring of pandas.MultiIndex.rst:91: WARNING: autosummary: stub file not found 'pandas.MultiIndex.get_locs'. Check your autosummary_generate setting.
looking for now-outdated files... none found
```
https://dev.azure.com/pandas-dev/pandas/_build/results?build... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30236/events | https://github.com/pandas-dev/pandas/issues/30236 | 537,080,830 | MDU6SXNzdWU1MzcwODA4MzA= | 30,236 | CI: 32-bit build failing. | {
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"description": ... | closed | false | null | [] | null | 6 | 2019-12-12T16:23:36Z | 2019-12-18T19:24:35Z | 2019-12-18T19:24:35Z | CONTRIBUTOR | null | We're failing to compile the C extension on linux 32. See e.g. https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=23011 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30237/events | https://github.com/pandas-dev/pandas/pull/30237 | 537,081,420 | MDExOlB1bGxSZXF1ZXN0MzUyNTAwNjU0 | 30,237 | Removed parallel CI | {
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] | closed | false | null | [] | null | 1 | 2019-12-12T16:24:41Z | 2019-12-12T17:07:51Z | 2019-12-12T17:07:48Z | MEMBER | null | I think this was responsible for some of the Py36 failures showing up in CI this morning, so reverting this piece for now (can still locally use parallel build_ext) until investigated further | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30238/events | https://github.com/pandas-dev/pandas/issues/30238 | 537,084,515 | MDU6SXNzdWU1MzcwODQ1MTU= | 30,238 | Appending to DataFrame removes the timezone-awareness | {
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```python
import pytz
import pandas as pd
df = pd.DataFrame(
{"a": [pd.Timestamp("2019-07-19 07:04:57+0100", tz=pytz.FixedOffset(60))]}
)
df.append(df.iloc[0])
```
#### Problem description
This returns:
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https://api.github.com/repos/pandas-dev/pandas/issues/30239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30239/events | https://github.com/pandas-dev/pandas/pull/30239 | 537,104,256 | MDExOlB1bGxSZXF1ZXN0MzUyNTE5NjUx | 30,239 | API: Return BoolArray for string ops when backed by StringArray | {
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Test output:
```
$ py.test pandas/tests/tools/test_datetime.py
============================= test session starts ============================... | {
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I have a few implementation questions:
1. I wanted to reuse `maybe_dispatch_ufunc_to_dunder_op`. That was in `core/ops/dispatch.py`, but NA is defend in `_libs/missing.pyx`. For now I just moved it to `_libs/missing.pyx`, is there a better home for it? I do... | {
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https://github.com/pandas-dev/pandas/issues/29547
- [x] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/30249 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30249/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30249/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30249/events | https://github.com/pandas-dev/pandas/pull/30249 | 537,293,891 | MDExOlB1bGxSZXF1ZXN0MzUyNjc3Nzk4 | 30,249 | TST: Fix apparent typo skip_if_no lxml->bs4 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30250/events | https://github.com/pandas-dev/pandas/pull/30250 | 537,294,403 | MDExOlB1bGxSZXF1ZXN0MzUyNjc4MjA5 | 30,250 | CLN : f-string instead of str.format() in pandas/utils and pandas/io/formats | {
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- [x] tests added / passed
- [x] passes `black pandas`
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I accidentally deleted the branch for #30230 which closed it, but I applied all the requested changes in this PR. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30251/events | https://github.com/pandas-dev/pandas/pull/30251 | 537,296,786 | MDExOlB1bGxSZXF1ZXN0MzUyNjgwMTcw | 30,251 | DEPR: change DataFrame.append default sort kwarg | {
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AFAICT this doesn't break any tests, was this supposed to have been changed along with the default in `concat` #29786 ? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30252/events | https://github.com/pandas-dev/pandas/pull/30252 | 537,347,593 | MDExOlB1bGxSZXF1ZXN0MzUyNzIwNTM2 | 30,252 | Make resample documentation better | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30253/events | https://github.com/pandas-dev/pandas/issues/30253 | 537,447,388 | MDU6SXNzdWU1Mzc0NDczODg= | 30,253 | Groupby agg works with pd.Series.nunique, but groupby nunique fails with axis=1 | {
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```python
df = pd.DataFrame({
('A', 'B'): [1, 2],
('A', 'C'): [1, 3],
('D', 'B'): [0, 0]
}, index=pd.bdate_range('20191212', '20191213'))
# DOESNT CRASH
df.groupby(axis=1, level=0).agg(pd.Series.nunique)
# CRASH
df.groupby(axis=1, level=0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30254 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30254/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30254/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30254/events | https://github.com/pandas-dev/pandas/issues/30254 | 537,459,106 | MDU6SXNzdWU1Mzc0NTkxMDY= | 30,254 | How to import data from web with no tables with python | {
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I want to import and save data from the following page into a list variable in python.
"http://www.fipiran.com/Symbol/HistoryPrice?symbolpara=%D8%A8%D8%AA%D8%B1%D8%A7%D9%86%D8%B3"
Unfortunately, data did not store into a table in this page. Please note that table data in middle of page is required.
Can any ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30256/events | https://github.com/pandas-dev/pandas/issues/30256 | 537,487,428 | MDU6SXNzdWU1Mzc0ODc0Mjg= | 30,256 | Copying values by columns from Series to DataFrame results in NaNs | {
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```python
import pandas as pd # version 0.22.0
columns = ['a', 'b', 'c']
df1 = pd.DataFrame([[0, 0, 0]], columns=columns)
df2 = pd.DataFrame(
[[1, 1, 1, 1, 1],
[2, 2, 2, 2, 2]],
index=['ones', 'twos'],
columns=['d', 'a', 'b', 'c', 'e']... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30257 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30257/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30257/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30257/events | https://github.com/pandas-dev/pandas/pull/30257 | 537,563,519 | MDExOlB1bGxSZXF1ZXN0MzUyODk1OTg1 | 30,257 | DOC: .get_slice_bound in MultiIndex needs documentation. | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I'm not good at English. So if there are wrong sentences or awkward sentences, please let me know.
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https://api.github.com/repos/pandas-dev/pandas/issues/30261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30261/events | https://github.com/pandas-dev/pandas/issues/30261 | 537,690,201 | MDU6SXNzdWU1Mzc2OTAyMDE= | 30,261 | loop over dataframes to select rows didn't work | {
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```python
import seaborn as sns
import pandas as pd
df = sns.load_dataset('tips')
df_1 = df[['tip', 'time', 'day']].copy()
df_2 = df[['total_bill', 'time', 'day']].copy()
for each_df in [df_1, df_2]:
each_df = each_df[each_df['day'] != 'Sun']
```
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https://api.github.com/repos/pandas-dev/pandas/issues/30262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30262/events | https://github.com/pandas-dev/pandas/issues/30262 | 537,761,094 | MDU6SXNzdWU1Mzc3NjEwOTQ= | 30,262 | Builtin loading of files from multi-file zip archives | {
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"... | closed | false | null | [] | null | 11 | 2019-12-13T20:20:39Z | 2020-05-02T10:49:38Z | 2020-05-02T04:37:15Z | CONTRIBUTOR | null | Could a solution be implemented to simplify loading a dataset from a multi-file zip archive? I know it is a bit insignificant compared to most other issues (especially since there are workarounds), but I'd be happy to implement it myself if I'm given the go-ahead so as to not waste your time.
Thanks for this amazing l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30263/events | https://github.com/pandas-dev/pandas/issues/30263 | 537,761,647 | MDU6SXNzdWU1Mzc3NjE2NDc= | 30,263 | iloc erroneously truncates underlying data for timestamps with timezone | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-12-13T20:22:05Z | 2021-05-31T14:27:04Z | 2021-05-31T14:27:04Z | CONTRIBUTOR | null | This is a strange one... Here's a short repro of the error, which I can reproduce in pandas 0.21-0.25 and numpy 0.15-0.17 (I didn't try further back than that):
```python-traceback
>>> import pandas as pd
>>> df = pd.DataFrame({'x': pd.date_range('2019', periods=10, tz='UTC')})
>>> df = df.iloc[:, :5]
>>> df._repr... | {
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] | closed | false | null | [] | null | 2 | 2019-12-13T20:42:47Z | 2021-11-20T23:21:55Z | 2019-12-21T19:18:11Z | MEMBER | null | - [x] closes #29125
- [x] closes #13872
- [ ] closes #17918 <-- needs tests and double-checking
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
xref #29102 the json case is xfailed here.
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https://api.github.com/repos/pandas-dev/pandas/issues/30265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30265/events | https://github.com/pandas-dev/pandas/pull/30265 | 537,770,745 | MDExOlB1bGxSZXF1ZXN0MzUzMDY4MjM4 | 30,265 | [WIP]: Indexing with BooleanArray propagates NA | {
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"gi... | [] | closed | false | null | [] | null | 4 | 2019-12-13T20:46:44Z | 2019-12-18T14:26:54Z | 2019-12-16T21:40:46Z | CONTRIBUTOR | null | This implements indexing a Series with a BooleanArray for some
dtypes. NA values in the mask propagate. It's not clear that we want to propagate NAs.
This required updating each EA's `__getitem__` to correctly propagate
NA. Doing the same for ndarray-backed Series is possible, but will require
some additional hac... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30267/events | https://github.com/pandas-dev/pandas/issues/30267 | 537,803,823 | MDU6SXNzdWU1Mzc4MDM4MjM= | 30,267 | PERF: slow multiplication of DataFrame and a scalar | {
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```python
df = pd.DataFrame(np.random.randn(500, 1000))
%timeit x1 = df * 50 # 258 ms ± 14.6 ms per loop
# For comparison:
%timeit x2 = df * df # 1.57 ms ± 9.16 µs per loop
%timeit x3 = np.multiply(df, 50) # 878 µs ± 71.7 µs per loop
```
#### Problem ... | {
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```python
import pandas as pd
import numpy as np
x = 9999999999999999
y = 123123123123123123
z = 10000000000000543
s = pd.Series([1, 2, 3, x, y, z], dtype="Int64")
s[3] == x # True
s
s2 = pd.Series([1, 2, 3, x, y, z, np.nan], dtype="Int64")
s2[3] == ... | {
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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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```python
# Your code here
import pandas as pd
data = pd.read_excel('temp.xlsx', engine="openpyxl")
print(data.iloc[0][4].number_format)
######Via openpyxl
from openpyxl import load_workbook
wb = load_workbook('temp.xlsx')
ws = wb.worksheets[0]
col_d = ws.cell(row=2, column=5)
print(co... | {
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- [ ] closes
- [x] tests passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [ ] tests added / passed
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It is possible to set a format for all date columns or all date-time columns using the `da... | {
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] | closed | false | null | [] | null | 3 | 2019-12-14T18:37:05Z | 2020-01-20T01:20:57Z | 2019-12-17T02:42:46Z | NONE | null | #29491 ## Problem description
When there are multiple sheets in an excel file, read_excel only returns the first. This is fine, but I think it should also warn that there are multiple sheets | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30277/events | https://github.com/pandas-dev/pandas/pull/30277 | 537,949,133 | MDExOlB1bGxSZXF1ZXN0MzUzMjAwODk2 | 30,277 | [bug] don't remove timezone-awareness when using the method from Dat… | {
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- [x] closes #30238
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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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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#29547 | {
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- [ ] closes #xxxx
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- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
import pandas as pd
import pytz
temp = pd.Series([pd.Timestamp("2019-07-19 07:04:57+0100", tz=pytz.FixedOffset(60))])
pd.Series(["2019-06-19 07:04:57"], dtype=temp.dtype) # works
pd.DataFrame(["2019-06-19 07:04:57"]).astype(temp.dtype) # works
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https://api.github.com/repos/pandas-dev/pandas/issues/30281 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30281/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30281/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30281/events | https://github.com/pandas-dev/pandas/issues/30281 | 538,047,404 | MDU6SXNzdWU1MzgwNDc0MDQ= | 30,281 | read_html docs inconsistent with behaviour if lxml not installed | {
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```python
>>> dfs = pd.read_html('<table><tr><td>1</td></tr></table>')
ImportError: lxml not found, please install it
>>> dfs = pd.read_html('<table><tr><td>1</td></tr></table>', flavor='bs4')
[ 0
0 1]
```
#### Problem description
The documentation expl... | {
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- [ ] tests added/passed
- [x] passes black pandas
- [x] passes git diff upstream/master -u -- "*.py" | flake8 --diff
- [x] whatsnew entry
The `pd.Series` was giving less precise output when inputting a list containing large integers and np.nan values and passing `dtype="Int64"`. Which was due... | {
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Benchmarks show the following benefit, though most likely just noise:
```sh
. before after ratio
[04fce81f] [f8ed75d0]
<stash~6^2> <json-dates>
- 336±9ms 302±4ms 0.90 io.json.ToJSON.time_to_jso... | {
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- [ ] closes #30280
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- [X] closes #23573
- [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/30286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30286/events | https://github.com/pandas-dev/pandas/issues/30286 | 538,215,230 | MDU6SXNzdWU1MzgyMTUyMzA= | 30,286 | AttributeError: module 'pandas' has no attribute 'ewm' | {
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def get_technical_indicators(dataset):
dataset['26ema'] = pd.ewm(dataset['Close'], span=26)
dataset['12ema'] = pd.ewm(dataset['Close'], span=12)
dataset['MACD'] = (dataset['12ema']-dataset['26ema'])
def get_technical_indicators(dataset):
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30287 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30287/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30287/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30287/events | https://github.com/pandas-dev/pandas/pull/30287 | 538,274,439 | MDExOlB1bGxSZXF1ZXN0MzUzNDQ3Nzk0 | 30,287 | CLN: changed .format to f-string in pandas/core/dtypes | {
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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/30288 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30288/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30288/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30288/events | https://github.com/pandas-dev/pandas/issues/30288 | 538,306,965 | MDU6SXNzdWU1MzgzMDY5NjU= | 30,288 | The setting xrot=0 in DataFrame.hist() doesn't work with by and subplots | {
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```python
df = pd.DataFrame({
'length': [1.5, 0.5, 1.2, 0.9, 3],
'animal': ['pig', 'rabbit', 'pig', 'pig', 'rabbit']
})
df.hist(column='length', by='animal', bins=5, xrot=0);
```
#### Problem description
The setting `xrot=0` doesn't work when I ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30289 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30289/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30289/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30289/events | https://github.com/pandas-dev/pandas/issues/30289 | 538,506,717 | MDU6SXNzdWU1Mzg1MDY3MTc= | 30,289 | groupby.quantile(<arraylike>) fails with AssertionError | {
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```python
# Your code here
df = pd.DataFrame(np.array([10*[_%4] for _ in range(100)]))
df.groupby(0).quantile(0.5)
# Out[19]:
# 1 2 3 4 5 6 7 8 9
# 0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30290 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30290/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30290/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30290/events | https://github.com/pandas-dev/pandas/issues/30290 | 538,620,566 | MDU6SXNzdWU1Mzg2MjA1NjY= | 30,290 | pandas/excel/tkinter | {
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Here's the code:
Here's the result:
![image](https://user-images.githubuserco... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30291 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30291/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30291/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30291/events | https://github.com/pandas-dev/pandas/issues/30291 | 538,692,708 | MDU6SXNzdWU1Mzg2OTI3MDg= | 30,291 | Docs request: Specifying behavior of `dtype` parameter | {
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```python
# My data comes in with some empty IDs, but these rows are still usable.
data_with_nan = {'ID':['1000','1001','1002', np.nan],
'Price':['900','100','150', '600']}
# I set dtype to str.
df_with_nan = pd.DataFrame(data_with_nan,dty... | {
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```python
x = pd.Series([False,True,True,False])
x.plot()
# Error thrown!
# Running version 0.24.2
```
#### Problem description
It would be nice to be able to directly use .plot() on true / false masks. Matplotlib currently supports plotting true / false... | {
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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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- [X] tests added / passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Not sure if we totally want this but figured I'd give it a shot any way. `simplejson` and the stdlib by comparison would decode these values
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```python
import pandas
x = pandas.np.array([1, 2, 3])
```
While this is not documented, I've seen couple of places suggesting this as a "trick" to avoid importing numpy directly.
I personally f... | {
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- [ ] closes #30163
- [ ] tests passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This is implemented by using `if: true` in each step. While this should work, it doesn't. A better way to implement this that probably fixes the issue is to use `if: always()` instead.
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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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```python
s = pd.Series([{'a': {'b': 1, 'c': 2}}, {'a': {'b': 3, 'c': 4}}], index=[1, 3])
s
1 {'a': {'b': 1, 'c': 2}}
3 {'a': {'b': 3, 'c': 4}}
dtype: object
json_normalize(s)
a.b a.c
0 1 2
1 3 4
```
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/30302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30302/events | https://github.com/pandas-dev/pandas/pull/30302 | 538,897,363 | MDExOlB1bGxSZXF1ZXN0MzUzOTY1MDQ1 | 30,302 | BUG: func 'to_pickle' and 'read_pickle' where not accepting URL GH30299 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30303/events | https://github.com/pandas-dev/pandas/pull/30303 | 538,913,838 | MDExOlB1bGxSZXF1ZXN0MzUzOTc4MjA2 | 30,303 | CI: Checks job aborted if a step fails GH30298 | {
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"color": "fbc... | closed | false | null | [] | null | 15 | 2019-12-17T12:35:06Z | 2020-05-22T11:22:41Z | 2020-05-22T11:22:41Z | CONTRIBUTOR | null | - [x] closes #28773
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The DataFrame.apply was sometimes returning wrong result when we passed
function, that was dealing with dtypes. It was caused by retrieving
the Da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30305/events | https://github.com/pandas-dev/pandas/pull/30305 | 539,095,710 | MDExOlB1bGxSZXF1ZXN0MzU0MTI5Njcz | 30,305 | ENH: Add support for DataFrame(ExtensionArray) | {
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- [x] tests added / passed
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Problem:
In core.frame
```
elif isinstance(data, abc.Iterable) and not isinstance(data, (str, bytes)):
if not isinstance(dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30307/events | https://github.com/pandas-dev/pandas/issues/30307 | 539,211,796 | MDU6SXNzdWU1MzkyMTE3OTY= | 30,307 | Loading practice datasets without internet connection | {
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The solutions I have found need external libraries.
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We're already doing the right thing on master. This just documents that behavior, and adds a handful of tests.
I'm not sure if there are existing tests I should be parameterizing. I only found a couple in `te... | {
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```
from ._openmp_helpers import _openmp_parallelism_enabled
ImportError: dlopen: cannot load any more object with static TLS
```
in e.g. https://travis-ci.org/pandas-dev/pandas/jobs/626304911#L648
Still debugging. scikit-learn 0.22 was just released to defaults. Some of our deps look fishy there... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30311/events | https://github.com/pandas-dev/pandas/pull/30311 | 539,242,404 | MDExOlB1bGxSZXF1ZXN0MzU0MjUyODM4 | 30,311 | Groupby agg works with pd.Series.nunique, but groupby nunique fails with axis=1 | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/30312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30312/events | https://github.com/pandas-dev/pandas/pull/30312 | 539,268,007 | MDExOlB1bGxSZXF1ZXN0MzU0Mjc0MjQ4 | 30,312 | CI: Fixed travis-36-cov build | {
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] | closed | false | null | [] | null | 10 | 2019-12-17T19:33:54Z | 2019-12-18T12:32:54Z | 2019-12-18T12:32:51Z | CONTRIBUTOR | null | Closes #30309
Just debugging right now. Can't reproduce locally yet. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30313/events | https://github.com/pandas-dev/pandas/pull/30313 | 539,301,624 | MDExOlB1bGxSZXF1ZXN0MzU0MzAyNDU4 | 30,313 | xfail test_scikit_learn | {
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"gi... | [] | closed | false | null | [] | null | 1 | 2019-12-17T20:47:35Z | 2019-12-17T21:33:16Z | 2019-12-17T21:33:12Z | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/issues/30309, this is a bit tricky. Will do a proper fix in https://github.com/pandas-dev/pandas/pull/30312, but xfailing for now. | {
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