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https://api.github.com/repos/pandas-dev/pandas/issues/23812
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382,569,695
MDU6SXNzdWUzODI1Njk2OTU=
23,812
Group index in dataframe
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2018-11-20T09:23:09Z
2018-11-20T13:58:14Z
2018-11-20T13:23:55Z
NONE
null
#### Code Sample, python code with name "post_demo.py" ``` import argparse import pandas as pd import os if __name__ == "__main__": #Read command line options parser = argparse.ArgumentParser(description="Postprocessing tool") parser.add_argument("csvfile", metavar = "--DATA", help="Parse ...
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382,590,503
MDExOlB1bGxSZXF1ZXN0MjMyMjU5NjEw
23,813
BUG: fixed plotting of boolean dataframes
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5
2018-11-20T10:14:12Z
2019-02-27T23:48:54Z
2019-02-27T23:48:54Z
NONE
null
Boolean data was not recognised as plottable data. Adding it to the list of valid dtypes fixed this and allows plotting. - [x] closes #23719 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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382,632,020
MDU6SXNzdWUzODI2MzIwMjA=
23,814
equality comparison with a scalar is slow for category (performance regression)
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8
2018-11-20T12:02:03Z
2018-11-30T21:37:20Z
2018-11-30T21:37:20Z
NONE
null
Are the following 2 ways to compare a series to a scalar equivalent (ignore missing values)? I have to write the hard way in order to take advantage of the category properties. ```python x = pd.Series(list('abcd') * 1000000).astype('category') %timeit x == 'a' # 10 loops, best of 3: 25.2 ms per lo...
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382,659,274
MDU6SXNzdWUzODI2NTkyNzQ=
23,815
Timestamp and DatetimeIndex construct different timezones
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2018-11-20T13:18:32Z
2019-02-11T14:32:54Z
2019-02-11T14:32:54Z
CONTRIBUTOR
null
Question in the form of an issue: is this a bug? ```python In [37]: pd.Timestamp('2000', tz='US/Central').tz == pd.DatetimeIndex(['2000'], tz='US/Central').tz Out[37]: False ``` This leads to strange things like ```python In [38]: idx = pd.date_range('20170101', periods=4, tz='US/Pacific') In [39]: idx...
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382,678,849
MDU6SXNzdWUzODI2Nzg4NDk=
23,816
Concat Series[datetimetz] & Series[category] loses timezone
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2018-11-20T14:07:07Z
2018-12-05T23:21:47Z
2018-12-05T23:21:47Z
CONTRIBUTOR
null
```python In [8]: a = pd.Series(pd.date_range('20170101', periods=4, tz='US/Pacific')) In [9]: b = pd.Series(['a', 'b'], dtype='category') In [10]: pd.concat([a, b], ignore_index=True)[0] Out[10]: Timestamp('2017-01-01 08:00:00') ``` Out[10] should have a tz like the following ```python In [11]: pd...
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382,690,704
MDU6SXNzdWUzODI2OTA3MDQ=
23,817
Create DataFrame from array of timestamps
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0
2018-11-20T14:33:43Z
2018-11-20T14:35:09Z
2018-11-20T14:35:01Z
CONTRIBUTOR
null
edit: duplicate of https://github.com/pandas-dev/pandas/issues/13287
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382,700,692
MDExOlB1bGxSZXF1ZXN0MjMyMzQ2NTcy
23,818
CLN: io/formats/html.py: refactor
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2018-11-20T14:55:49Z
2018-11-27T19:12:31Z
2018-11-27T02:37:15Z
MEMBER
null
- [ n/a] follow-on from #22726 - [x] tests ~~added~~ / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry remove `max_rows` and `max_cols` from `HTMLFormatter` as truncation is now handled by `DataFrameFormatter` note: this PR should be orthogonal to #22655
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382,725,675
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23,819
df.any(axis=None) does not perform the expected reduction
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1
2018-11-20T15:48:16Z
2018-11-20T16:29:20Z
2018-11-20T16:29:17Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame({"A": [1, 1], "B": [1, 0], "C": [0, 0]}) df.any(axis=None) ``` #### Problem description df.any(axis=None) returns a series: >A True B True C False dtype: bool ... while it should reduce tha...
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382,746,713
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23,820
DISC: deprecate notebook parameter in to_html()
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8
2018-11-20T16:31:46Z
2019-12-14T10:22:51Z
2019-12-14T10:22:46Z
MEMBER
null
should to_html(notebook=True) be part of the public facing API or called just from _repr_html_()?
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23,821
CI: Move CircleCI job to Azure pipelines
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16
2018-11-20T20:37:55Z
2018-12-29T16:08:19Z
2018-12-29T16:08:19Z
MEMBER
null
We've been moving our CI from other systems to Travis and Azure Pipelines, which makes things simpler, as we don't need to maintain several CI configuration files, and check for CI errors and logs in different environments. We have almost everything in those two systems now, except one last job that is in CircleCI. ...
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382,850,420
MDU6SXNzdWUzODI4NTA0MjA=
23,822
pd.DataFrame.sub change the original dataframe order
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3
2018-11-20T21:13:41Z
2021-06-23T04:23:17Z
2021-06-23T04:23:17Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df1 = pd.DataFrame([[2], [4], [4], [3]]) df1.index = [0, 1, 2, 1] df2 = pd.DataFrame([[10], [12]]) df2.index = [1, 2] df3 = df1 - df2 print(df3.index) # output: [0, 1, 1, 2] ``` #### Problem description with minus by index, the output change m...
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382,854,615
MDU6SXNzdWUzODI4NTQ2MTU=
23,823
BUG/Internals: maybe_upcast_putmask
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2018-11-20T21:26:34Z
2019-03-22T11:51:09Z
2019-03-22T11:51:09Z
CONTRIBUTOR
null
In the context of #23192 (and #23604 / #23606), I want to use `pandas.core.dtypes.cast.maybe_upcast_putmask`, because it solves exactly the problem I need it to solve. Unfortunately, it does not work as advertised (and I already found the culprit). The docstring says: ``` def maybe_upcast_putmask(result, mask, ...
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382,858,057
MDU6SXNzdWUzODI4NTgwNTc=
23,824
Series.map updates all copies of a DataFrame
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2018-11-20T21:36:56Z
2018-11-20T21:53:32Z
2018-11-20T21:39:14Z
NONE
null
#### Code Sample ```python df = pd.DataFrame({'foo':[0,1,2]}) new = df new['foo'] = new['foo'].map({0:'zero', 1:'one', 2:'two'}) print(df) ``` output: ``` foo 0 zero 1 one 2 two ``` #### Problem description When using pd.Series.map on a column of a copied DataFrame, the copy is updated, but ...
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382,871,881
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23,825
TST: Fix indexes test inheritance / fixturization
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5
2018-11-20T22:20:08Z
2018-11-21T15:39:30Z
2018-11-21T15:37:50Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/23746 Before: ``` 7355 passed, 852 skipped, 5 xfailed, 13 warnings in 75.20 seconds ``` After: ``` 5740 passed, 724 skipped, 5 xfailed, 12 warnings in 67.73 seconds ```
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382,905,614
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23,826
BUG: tm.assert_index_equal ignores TimedeltaIndex.freq
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1
2018-11-21T00:33:44Z
2018-11-21T01:58:10Z
2018-11-21T01:57:43Z
MEMBER
null
``` tdi = pd.TimedeltaIndex(['1 Day', '2 Days'], freq='D') tdi2 = tdi._shallow_copy(freq=None) tm.assert_index_equal(tdi, tdi2) ``` The call to assert_index_equal should raise AssertionError, doesn't.
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23,827
TST: move misplaced modulo test
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4
2018-11-21T00:36:06Z
2018-11-23T04:14:12Z
2018-11-23T02:37:24Z
MEMBER
null
Found this while looking at tests for reduction ops. I'm wondering if we should collect+parametrize those over DataFrame/Series/Index/EA the same way we do for arithmetic. Thoughts?
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382,919,839
MDU6SXNzdWUzODI5MTk4Mzk=
23,828
DOC: Move content in doc/README.rst to doc/source/contributing.rst
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2018-11-21T01:43:49Z
2018-11-27T02:24:46Z
2018-11-27T02:24:46Z
MEMBER
null
Following the discussion in #23097, we should check if there is content in `doc/README.rst` that is not in `doc/source/contributing.rst`. Then: - Move that content to `doc/source/contributing.rst` if something is not there already. - Replace all the content of `doc/README.rst` by simply a link to the contributing doc...
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23,829
implement truediv, rtruediv directly in TimedeltaArray; tests
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2018-11-21T02:46:24Z
2018-12-11T18:02:45Z
2018-11-29T12:48:26Z
MEMBER
null
Follow-up to #23642, implements `__rdiv__` in TimedeltaArray, plus missing tests. After this will be a PR that does the same for floordiv+rfloordiv. - [x] closes #22631 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry Fixes: `tdi / np.time...
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23,830
pd to_datetime with format specified returns doesn't match format specified instead of OutOfBoundsDatetime
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5
2018-11-21T05:15:42Z
2019-02-28T12:44:44Z
2019-02-28T12:44:44Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python In [70]: pd.to_datetime('2417-10-27 00:00:00', format='%Y-%m-%d %H:%M:%S') ValueError: time data 2417-10-27 00:00:00 doesn't match format specified ``` <details> --------------------------------------------------------------------------- TypeError...
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MDExOlB1bGxSZXF1ZXN0MjMyNTQ2MzI0
23,831
Cookbook doc
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2018-11-21T05:51:36Z
2018-11-21T10:18:57Z
2018-11-21T07:24:48Z
CONTRIBUTOR
null
- [x] closes #23794 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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382,990,863
MDExOlB1bGxSZXF1ZXN0MjMyNTY0MzQ2
23,832
REF/TST: Add more pytest idiom to parsers tests
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3
2018-11-21T07:34:44Z
2018-11-21T19:46:35Z
2018-11-21T19:32:47Z
MEMBER
null
Adds more idiom to the following: * `parser/skiprows` --> `parser/test_skiprows` * `parser/na_values` --> `parser/test_na_values` * `parser/parse_dates` -->` parser/test_parse_dates` * `parser/multithread` --> `parser/test_multi_thread` Also adds new test suite: `test_date_converters` (was previously hidden in...
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382,990,906
MDU6SXNzdWUzODI5OTA5MDY=
23,833
BUG/Internals: maybe_promote
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2018-11-21T07:34:53Z
2021-06-23T04:23:59Z
null
CONTRIBUTOR
null
Seems I found a pretty deep rabbit hole while trying to solve #23823 (while trying to solve #23192 / #23604): `maybe_upcast_putmask` and `maybe_promote` are both completely untested (or at least, their names do not appear anywhere in `pandas/tests/`), and `maybe_promote` also does not have a docstring. Side note: ra...
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MDU6SXNzdWUzODI5OTM4MzI=
23,834
Unexpected DataFrame.groupby.apply miscalculation
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2018-11-21T07:46:06Z
2019-05-01T14:16:34Z
2019-05-01T13:55:01Z
NONE
null
Using `DataFrame.groupby.apply()` and make a copy of one of the columns may have unexpected result. #### Code Sample ```python import pandas as pd data_list = [ ['Class A', '1'], ['Class A', '5'], ['Class B', '7'], ['Class B', '2'], ['Class C', '3'], ['Class C', '9'] ] df = pd.DataFr...
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MDU6SXNzdWUzODI5OTk2Njk=
23,835
code_checks.sh does not work as documentation says
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2018-11-21T08:07:18Z
2018-11-21T11:25:51Z
2018-11-21T11:25:51Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ``` $ ./ci/code_checks.sh lint inside ./ci/code_checks.sh NOT Linting. To lint use: LINT=true ./ci/code_checks.sh lint ``` #### Problem description The current `code_checks.sh` contains this line near the top: ``` [[ $LINT ]] || { echo "NOT Linting. To ...
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383,021,485
MDU6SXNzdWUzODMwMjE0ODU=
23,836
writing dataframe to sql server
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2018-11-21T09:13:38Z
2018-11-21T20:12:31Z
2018-11-21T18:23:02Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd import pyodbc import csv server = '10.7.8.4' database = 'RESTDATA' username = 'ABC' password = 'ABC@ABC' Table_Name='CSVSQL2_TEST' df=pd.read_csv("D:\\data\\1.csv",skiprows=31) cnxn=pyodbc.conn...
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23,837
DOC: Fixing flake8 errors in cookbook.rst
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2018-11-21T11:05:37Z
2018-11-24T19:20:52Z
2018-11-24T15:43:57Z
CONTRIBUTOR
null
- [x] closes #23794 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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23,838
Empty series with index and "str" dtype is initialized with values "n" instead of NaN
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2018-11-21T11:44:42Z
2018-11-21T11:53:05Z
2018-11-21T11:50:35Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd pd.Series(index=[0, 1 ,2], dtype="str") ``` #### Problem description The code above yields ``` 0 n 1 n 2 n dtype: object ``` in pandas 0.23 (values are the string 'n') but ``` 0 NaN 1 NaN 2 NaN...
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23,839
DOC: Fix flake8 issues in categorical.rst
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2018-11-21T13:45:56Z
2018-11-21T16:47:43Z
2018-11-21T16:43:36Z
MEMBER
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- [x] closes #23793 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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23,840
DOC: Move content in doc/README.rst to doc/source/contributing.rst
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2018-11-21T14:21:51Z
2018-11-27T02:24:50Z
2018-11-27T02:24:46Z
CONTRIBUTOR
null
- [ ] closes #23828 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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DOC: fix import of tm in Panel dsintro.rst section
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2
2018-11-21T14:59:26Z
2018-11-21T17:06:40Z
2018-11-21T16:55:54Z
MEMBER
null
xref https://github.com/pandas-dev/pandas/pull/23802
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383,180,385
MDU6SXNzdWUzODMxODAzODU=
23,842
Empty dataframe with a multi-index loses the type information about the index types
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3
2018-11-21T15:49:12Z
2018-11-22T12:01:07Z
2018-11-21T20:20:03Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd test = pd.DataFrame({'time': [pd.Timestamp('2010-01-01'), pd.Timestamp('2011-01-01')], 'id': ['X', 'Y'], 'val': [0, 1]}).set_index(['time', 'id']) test2 = test.head(0).reset_index() [(col, test2[col].dtype) fo...
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383,227,933
MDU6SXNzdWUzODMyMjc5MzM=
23,843
Configurable json_normalize with respect to number of levels and Keys to be flattened
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2018-11-21T17:39:19Z
2019-07-03T11:21:58Z
2019-07-03T11:21:58Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python data = [{"CreatedBy":{"Name": "User001"}, "Lookup":{"TextField":"Some text", "UserField":{"Id":"ID001", "Name": "Name001"}}, "Image":{"a":"b"}}] json_normalize(data).to_json(orient="records") ``` #### Current Output ``` [{"Creat...
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23,844
poor melt example in documentation
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2018-11-21T18:06:45Z
2019-09-11T21:23:50Z
null
NONE
null
#### Problem description The example chosen to illustrate `melt` https://pandas.pydata.org/pandas-docs/stable/user_guide/reshaping.html#reshaping-by-melt is not ideal. Normally, melt would be used to convert from wide to long data. However, the data on the left hand side of the example is already in long form...
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383,241,185
MDU6SXNzdWUzODMyNDExODU=
23,845
API: Inconsistent handling of columns aggregated to create date columns
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2018-11-21T18:17:17Z
2021-06-23T04:41:08Z
null
MEMBER
null
Issue is described at https://github.com/pandas-dev/pandas/pull/23832#pullrequestreview-177106215 Should we parse columns that are used to construct date columns or not?
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23,846
Feature suggestion: allow sort_values to take a callable
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1
2018-11-21T19:59:34Z
2018-11-21T20:18:43Z
2018-11-21T20:18:36Z
MEMBER
null
I occasionally find myself wanting to sort not by the values of a `Series` but instead by some function of those values, so it could be quite handy to have a way of passing a callable to `sort_values` (perhaps just a `by` argument as in `DataFrame.sort_values`) with the idea being to sort by the return values. The sam...
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23,847
DOC: Upgrade flake8-rst version
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2018-11-21T21:45:34Z
2018-12-02T19:29:51Z
2018-12-02T18:09:11Z
CONTRIBUTOR
null
closes #23508 - Update of `flake8-rst` version to >=0.6.0 - Add files with issues to exclude
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23,848
column names with leading underscores with df.itertuples cause AttributeError when accessed
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5
2018-11-21T22:45:25Z
2021-08-09T07:32:39Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python data = [['Alex',10],['Bob',12],['Clarke',13]] df = pd.DataFrame(data, columns=['_name','age']) try: for row in df.itertuples(): val = getattr(row, '_name') print(val) except AttributeError: print('_name column not accessi...
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23,849
Increase timeout in hypothesis for test_apply.py
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2018-11-21T23:14:03Z
2019-02-17T18:42:29Z
2018-11-27T01:50:21Z
CONTRIBUTOR
null
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` In this [build](https://dev.azure.com/pandas-dev/pandas/_build/results?buildId=3781&view=logs) We see the following error: ` <pandas.tests.frame.test_apply.TestDataFrameAggregate instance at 0x0000000036892A48>, 2018-11-Unreliable test tim...
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23,850
DOC: Change docs to use MultiIndex.codes
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2018-11-21T23:42:16Z
2018-11-22T16:48:00Z
2018-11-22T16:48:00Z
CONTRIBUTOR
null
This PR updates the docs in accordance with #23752. That PR is quite large, so I've put the doc changes in a seperate PR. This PR can be merged when #23752 is approved/merged.
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CLN: Fixes to conda environment names
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2018-11-22T00:36:08Z
2018-11-25T02:52:10Z
2018-11-25T02:52:10Z
MEMBER
null
We have some inconsistency regarding the names of the conda environment. At the moment, all environments for the CI are named `pandas`, and the environment created locally following the set up instructions (and using `environment.yml`) is named `pandas-dev`. Then, inside several scripts (e.g. `ci/code_checks.sh`) we...
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23,852
"map" and "apply" is very slow for millions rows. Any native support with parallel computation?
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2018-11-22T02:01:10Z
2018-11-22T02:53:57Z
2018-11-22T02:53:49Z
NONE
null
"map" and "apply" is very slow for millions rows. Any native support with parallel computation?
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23,853
REF/CLN: ops boilerplate
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2018-11-22T02:31:37Z
2020-09-23T17:12:44Z
null
MEMBER
null
A _ton_ of comparison and arithmetic operations do something combination of: - [x] `other = lib.item_from_zerodim(other)` - [ ] listlike but not arraylike --> wrap in ndarray - [x] return `NotImplemented` if operating against a senior class - [ ] raise `ValueError` if there is a length mismatch But we don't _a...
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23,854
df.to_csv() ignores encoding when given a file object or any other filelike object.
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2018-11-22T02:44:59Z
2020-08-07T11:53:10Z
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd import io # !! NOTE # This example uses `io.BytesIO`, however this also applies to file buffers that are # returned by `io.open` (the `open` function) when opened in binary mode. buf = io.BytesIO('a, b, 🐟\n1, 2, 3\n4, 5, 6'.en...
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23,855
DOC: Fix flake8 problems in io.rst
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2018-11-22T06:59:20Z
2018-12-03T02:52:57Z
2018-12-02T18:18:28Z
CONTRIBUTOR
null
- [x] closes #23791 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Pushing this code to check if this clears CI. Made a few changes towards issue #23791
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23,856
Preserve dtype on reset_index() in an empty DataFrame
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2018-11-22T09:12:05Z
2018-12-09T20:19:31Z
2018-12-09T20:19:31Z
NONE
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- closes #19602
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23,857
apply doesn't work when returning 2D vector (shape=(N,1)) instead of 1D (shape=(N,))
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#### Code Sample, a copy-pastable example if possible ```python # Your code here import numpy as np import pandas as pd f = lambda x: np.reshape(x,(-1,1)) df = pd.DataFrame(np.random.randn(10,3), columns=['a','b','c']) df.apply(f) ``` #### Problem description Code is self explainable #### Expected Ou...
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DOC/TST: doctests leaving extraneous files
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2018-11-22T12:43:53Z
2018-11-23T02:41:05Z
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CONTRIBUTOR
null
- [x] closes #23201 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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23,859
DataFrame rename fails with TypeError when give a ChainMap instead of a dict
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2019-10-31T08:06:04Z
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Example code: ``` >>> from collections import ChainMap >>> import pandas as pd >>> df = pd.DataFrame({'A': range(1, 11), 'B': np.random.randn(10)}) >>> df.rename(ChainMap({'A': 'a'}, {'B':'b'}), axis='columns') ... TypeError: 'ChainMap' object is not callable # also fails if called with the columns parameter:...
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CI: Fixes to conda environment names
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2018-11-22T15:41:25Z
2018-11-23T09:22:17Z
2018-11-23T09:22:17Z
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- [x] closes #23851 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MDExOlB1bGxSZXF1ZXN0MjMzMDI2NzI2
23,861
Enhanced json normalize
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32
2018-11-22T16:07:32Z
2019-07-06T14:56:20Z
2019-06-17T12:24:22Z
CONTRIBUTOR
null
closes #23843 closes #23861 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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383,619,035
MDU6SXNzdWUzODM2MTkwMzU=
23,862
How to set series frequency?
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3
2018-11-22T17:28:19Z
2018-11-23T18:53:03Z
2018-11-23T18:41:10Z
CONTRIBUTOR
null
Having two time series like: ```python import pandas from numpy import nan # 1-minute period index = pandas.date_range('1/1/2010', periods=8, freq='T') series1 = pandas.Series([1., nan, nan, nan, nan, 2., nan, nan], index=index) # 5-minutes period index = pandas.date_range('1/1/2010', periods=2, freq='5...
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23,863
REF/TST: Finish pytest idiom in parser tests
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2018-11-22T22:27:08Z
2018-11-23T08:02:16Z
2018-11-23T02:34:45Z
MEMBER
null
Adds more idiom to the following: * `parser/usecols` --> `parser/test_usecols` * `parser/quoting` --> `parser/test_quoting` * `parser/common` --> `parser/test_common` * `parser/python_parser_only` --> `parser/test_python_parser_only` Also: * Finally delete `parser/test_parsers`! 🎉 * Small bug in `capture...
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383,682,442
MDExOlB1bGxSZXF1ZXN0MjMzMDkxODQz
23,864
ZeroDivisionError when groupby rank with method="dense" and pct=True
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2018-11-23T01:26:54Z
2018-12-03T05:35:30Z
2018-12-03T05:34:54Z
CONTRIBUTOR
null
- [x] closes #23666 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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MDU6SXNzdWUzODM3MjUxNjA=
23,865
Inconsistant behaviour of empty groups when grouping with one vs. many
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2018-11-23T07:35:04Z
2020-07-08T15:35:26Z
2020-07-08T15:35:26Z
CONTRIBUTOR
null
Not sure if this is a bug or expected behaviour, but it's something that catches me out constantly. ```python import pandas as pd # Dummy data. Each row is a day and I'm recording where I worked, # what percentage of my time was spent coding, # and how many cups of coffee I drank df = pd.DataFrame({ 'pl...
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23,866
CI: Fixes to conda environment names
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2018-11-23T09:13:26Z
2018-11-25T02:52:17Z
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MEMBER
null
- [x] closes #23851 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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23,867
how can I extract .tar.gz file in pandas?
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2018-11-23T11:36:30Z
2018-11-23T11:45:51Z
2018-11-23T11:45:51Z
NONE
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#### Code Sample, a copy-pastable example if possible ```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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23,868
Shouldn't the try: __import__ in __init__ re-raise original exception?
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2018-11-23T11:48:42Z
2019-06-11T08:27:05Z
2019-06-11T08:27:05Z
NONE
null
#### Problem description It is confusing when `import pandas` raises a message like: >>> import pandas Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/raf/anaconda3/lib/python3.7/site-packages/pandas/__init__.py", line 19, in <module> "Missing req...
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23,869
DatetimeIndex.__getitem__ returns ndarray for nd indexer
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2018-11-23T13:19:19Z
2020-04-01T04:00:24Z
2020-04-01T04:00:24Z
CONTRIBUTOR
null
I didn't know this was possible, but apparently it is (and tested). For ndim > 1, `DatetimeIndex.__getitem__` returns an array ```python In [13]: pd.date_range('2000', periods=12)[:, None] Out[13]: array([['2000-01-01T00:00:00.000000000'], ['2000-01-02T00:00:00.000000000'], ['2000-01-03T00:00:0...
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DOC: Use only one blank line to separate sections or paragraphs
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2018-11-23T15:38:46Z
2019-07-17T23:23:51Z
2019-06-20T22:04:42Z
CONTRIBUTOR
null
When checking for errors with `./scripts/validate_docstrings.py`, There is an error that comes up: **GL03** **Use only one blank line to separate sections or paragraphs** I started working on this and will create a pull request for this issue shortly to go into more detail on what I fixed. @datapythonista
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Fix: Use only one blank line to separate sections or paragraphs
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2018-11-23T15:44:02Z
2018-11-25T20:26:20Z
2018-11-23T23:56:35Z
CONTRIBUTOR
null
By running `./scripts/validate_docstrings.py --errors=GL03 --format=azure`, I was able to get the list of GL03 errors with files and line numbers where these errors occurred. I fixed a big portion of these issues so far. @datapythonista - [ ] closes #23870 - [x] passes `git diff upstream/master -u -- "*.py"...
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TST: split up pandas/tests/test_resample.py
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2018-11-23T16:03:58Z
2018-11-26T19:49:19Z
2018-11-26T13:32:57Z
MEMBER
null
- [n/a ] precursor to #17806 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [n/a ] whatsnew entry
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NonExistentTimeError Trying to resample series.
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2018-11-23T18:30:02Z
2018-11-23T19:01:18Z
2018-11-23T19:01:18Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here user_timezone = 'America/Bogota' new_series = pandas.Series([1, 2], index=pandas.to_datetime([1, 1542997018451], unit='ms')) new_series.index = new_series.index.tz_localize( 'UTC', ambiguous='infer').tz_convert(user_timezone) new...
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TST: Test unnamed columns with index_col for Excel
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2018-11-23T18:39:54Z
2018-11-28T22:58:53Z
2018-11-28T16:21:26Z
MEMBER
null
Closes #18792.
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DataFrame.apply() does not retain category dtype if applied along axis 1
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2018-11-23T19:16:30Z
2018-11-24T19:51:37Z
2018-11-24T19:51:32Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd def transform(s): return s df = pd.DataFrame({'a':range(10), 'b':range(10)}) df['a'] = df['a'].astype('category') print("(Before apply) df['a'] dtype is {}".format(df['a'].dtype)) # -> return category df = df.apply...
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Initializing one row dataframe with a dictionary of scalars
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2018-11-23T19:50:22Z
2018-11-23T20:09:11Z
2018-11-23T19:52:41Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python # This code fails with an error ValueError: If using all scalar values, you must pass an index client = pd.DataFrame(dict(age=27, job='student', marital='single', educ...
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23,877
CLN: fixturize & split test_base
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2018-11-23T20:39:12Z
2020-03-16T01:37:44Z
2020-03-16T01:37:44Z
CONTRIBUTOR
null
it would be nice to use our ``indices`` fixture rather than the self.indices in ``pandas/tests/test_base.py`` as this is a bit cleaner and more flexible esp with subclasses. We also might consider splitting up test_base.py to some extent by function maybe splitting up to test_construction test_set_ops test_reshapi...
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BUG: non-standard frequency Period arithmetic
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2018-11-23T21:53:00Z
2018-12-09T14:02:18Z
2018-12-09T14:02:18Z
CONTRIBUTOR
null
#### Code Sample ```python starting_date = pd.Period('20180101', freq='24H') base_date = pd.Period('19700101', freq='24H') offset = starting_date - base_date base_date + offset == starting_date # -> False should be True base_date + offset == (pd.Period(str(base_date), freq='H') + (24*offset)).asfreq('24H') ...
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TST: Test .loc with uint64 numbers
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2018-11-23T22:37:05Z
2018-11-25T02:23:09Z
2018-11-25T02:17:30Z
MEMBER
null
Closes #19399.
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CLN: writers.pyx cdef cleanup
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2018-11-23T23:27:11Z
2018-11-25T17:51:13Z
2018-11-25T02:15:19Z
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null
- Changed some `int` to `Py_ssize_t` - Remove/add some unused/uncdef'd variables
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DOC: Capitalize docstring summaries
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2018-11-24T00:27:01Z
2018-11-27T10:16:58Z
2018-11-27T10:16:58Z
MEMBER
null
Our standard is to start the docstrings with a capital letter (and finish them with a period). We'll shortly add a check to make sure that new contributions follow this standard. But before we can do that, we need to fix the many cases that are already wrong. In this issue we should fix all the remaining cases wh...
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BUG: base argument ignored in PeriodIndex resample
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2018-11-24T04:23:11Z
2018-12-14T14:57:29Z
2018-12-14T14:57:29Z
CONTRIBUTOR
null
#### Code Sample ```python df = pd.DataFrame(np.random.randn(100, 10), index=pd.period_range('19700101', periods=100, freq='H')) period_resample_with_base = df.resample('24H', base=10).mean().to_timestamp() ts_resample_with_base = df.to_timestamp().resample('24H', base=10).mean() ts_resample_no_base = df.to_tim...
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requirements-optional-conda.txt missing
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2018-11-24T12:02:15Z
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NONE
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[Creating a Python Environment](https://pandas.pydata.org/pandas-docs/stable/contributing.html#creating-a-python-environment) gives the following instructions. ``` # Install the rest of the optional dependencies conda install -c defaults -c conda-forge --file=ci/requirements-optional-conda.txt ``` However, there i...
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When merging on boolean index in right dataframe, merge key becomes an object
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2018-11-24T20:07:02Z
2021-06-23T04:49:11Z
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NONE
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd data = pd.DataFrame(dict(a=[1, 2], b=[True, False])) data2 = pd.DataFrame(dict(b=[False, True], c=[4, 3])).set_index('b') print('data dtypes:') print(data.dtypes) print('\ndata2 dtypes') print(data2.dtypes) merged = d...
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Implement mul, floordiv, mod, divmod, and reversed directly in TimedeltaArray
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2018-11-24T20:38:17Z
2018-12-03T15:22:00Z
2018-12-03T13:24:00Z
MEMBER
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- [ ] closes #xxxx - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Companion to #23829, will need rebasing after that goes through. Some overlap with #23789; this will have a smaller diff after being rebased on top of that.
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DOC: Capitalize docstring summaries
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2018-11-24T21:07:41Z
2018-11-27T10:17:44Z
2018-11-27T10:16:59Z
CONTRIBUTOR
null
- [x] closes #23881 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] Solves most of the issues raised by the `validate_docstrings.py` script. The few issues that still show up on running the script can be attributed to- - Docstrings non-existent viz. `tserie...
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Let MultiIndex accept a list-like as input
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2018-11-24T22:07:48Z
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CONTRIBUTOR
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In #22511 and #23752 I work on some changes to ``MultiIndex``. It came up in discussion that the consteuction of MultiIndex shold be changed, so that initialising with a list of tuples should be accepted: ```python >>>pd.MultiIndex([('a', 1) ... ('b', 2)]) MultiIndex([('a', 1) ('b', 2)]...
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PERF: For GH23814, return early in Categorical.__init__
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CONTRIBUTOR
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- [X] closes #23814 - [X] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [X] whatsnew entry
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pandas groupby sum min_count misbehaves
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2018-11-24T23:03:35Z
2021-11-07T09:12:34Z
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#### Code Sample, a copy-pastable example if possible ```python d=pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]}) d['col2']=d['col2'].astype(str) d['col1']=np.nan d=d.groupby(lambda x:x, axis=1).sum(min_count=1) ``` #### Problem description My hope is that, by using min_count=1, pandas will return NaN when a...
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WIP: implement reductions for DatetimeArray/TimedeltaArray/PeriodArray
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2018-11-25T01:04:30Z
2020-04-05T17:37:40Z
2019-01-13T23:42:17Z
MEMBER
null
Some idiosyncrasies in signatures between Series vs Index make the parametrized test cases ugly. Do we want to adapt the Index reductions to have a `skipna` kwarg like the Series and EA methods? Still needs tests for timedelta and period dtypes.
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DOC: fix DataFrame.nunique docstring and doctests
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2018-11-25T01:44:15Z
2018-11-25T14:05:34Z
2018-11-25T08:44:15Z
CONTRIBUTOR
null
- [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Based on #22459. Fix the docstring for DataFrame.nunique. I also updated `ci/code_checks.sh`.
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Output a pandas dataframe to .XLSB (Excel Binary Workbook) format
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Output a pandas dataframe to .XLSB (Excel Binary Workbook) format.
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23,893
Fix format of advanced.rst according to PEP-8 standard
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2018-11-25T06:02:01Z
2018-11-25T22:43:22Z
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CONTRIBUTOR
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- [x] closes #23790 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MAINT Use list and dict comprehension
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2018-11-25T07:26:57Z
2018-11-29T13:54:19Z
2018-11-29T13:54:17Z
CONTRIBUTOR
null
This uses list and dict comprehension in places where it doesn't hurt readability. It should be a bit faster and less verbose.
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DOC: Capitalize docstring summaries
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2018-11-25T09:31:33Z
2018-11-25T09:35:08Z
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Fixes #23881 - [x] closes #23881 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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[Bug] Comparison between two PeriodIndexes doesn't validate length (GH #23078)
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- [x] closes #23078 - [x] tests added - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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2018-11-25T17:41:33Z
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- Replace `from pandas import offsets` and `from pandas.tseries.offsets import *` with `pd.offsets.<ClassName>`.
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DOC: Remove unused ipython directive in developer.rst
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DOC: Fix PEP-8 issues in text.rst
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DOC: Fix PEP-8 issues in timedeltas.rst
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2018-11-25T18:12:29Z
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- Replace `from pandas.tseries.offsets import *` with `pd.offsets.<ClassName>` for better readability.
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DOC: Change code-block to ipython in r_interface.rst
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2018-11-25T18:20:32Z
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CONTRIBUTOR
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The documentation mainly uses the `.. ipython::` directive. This changes the code-blocks to ipython blocks so there is a unified visual style.
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23,909
DOC: Fix PEP-8 issues in gotchas.rst
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2
2018-11-25T19:56:54Z
2018-11-25T21:48:18Z
2018-11-25T21:20:32Z
CONTRIBUTOR
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https://github.com/pandas-dev/pandas/pull/23910
384,112,570
MDExOlB1bGxSZXF1ZXN0MjMzMzk2NjU0
23,910
DOC: Fix PEP-8 issues in basics.rst
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2018-11-25T19:58:13Z
2018-11-25T21:47:44Z
2018-11-25T21:20:49Z
CONTRIBUTOR
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384,112,791
MDU6SXNzdWUzODQxMTI3OTE=
23,911
ExtensionArray.shift incorrect for periods larger than length of array
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7
2018-11-25T20:00:42Z
2018-12-09T12:09:22Z
2018-12-09T12:09:22Z
CONTRIBUTOR
null
```python In [9]: from pandas.tests.extension.decimal import to_decimal In [10]: to_decimal([1, 2]).shift(4) Out[10]: DecimalArray(array([Decimal('NaN'), Decimal('NaN'), Decimal('NaN'), Decimal('NaN')], dtype=object)) ``` The expected output is ```python >>> to_decimal(['NaN', 'NaN']) DecimalArray...
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