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28,013
Add Styler.applyformat to set values instead of styles
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10
2019-08-19T13:59:35Z
2021-02-10T21:54:52Z
2021-02-10T20:19:10Z
NONE
null
I have a DataFrame that has multiple pairs of columns that are are title and URL. I would like to be able to render this table by converting the title to an anchor: `<a href=URL>title</a>`. Styler.format doesn't support this because the function only provides one value for a column and the format spec string doesn'...
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28,014
WEB: Adding new pandas website
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2019-08-19T14:34:12Z
2019-09-18T13:38:56Z
2019-09-18T13:25:08Z
MEMBER
null
The website can be seen here: https://datapythonista.github.io/pandas-web/ It's still pending that the designer polish the styles. And also the content can surely be improved with everybody's feedback. But I think will be useful to merge this once we iterate a bit on people's feedback, so we can start working on int...
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28,015
RLS: 0.25.1
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2019-08-19T17:07:23Z
2019-08-22T19:52:55Z
2019-08-22T19:52:55Z
CONTRIBUTOR
null
Sometime this week, though we have a few outstanding issues I think: https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3Aissue+milestone%3A0.25.1 I've tentatively targeted Wednesday. Does anyone want to do this actual release work? Otherwise, I can.
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28,016
TST: fix flaky xfail
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2019-08-19T17:13:13Z
2019-08-19T18:41:50Z
2019-08-19T18:29:07Z
MEMBER
null
xfail in more specific circumstance - [x] closes #28011 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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Backport PR #27773 on branch 0.25.x (BUG: _can_use_numexpr fails when passed large Series)
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2019-08-19T17:20:59Z
2019-08-20T06:45:31Z
2019-08-20T06:45:31Z
NONE
null
Backport PR #27773: BUG: _can_use_numexpr fails when passed large Series
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DOC/TST: Update the parquet (pyarrow >= 0.15) docs and tests regarding Categorical support
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2019-08-19T18:22:38Z
2019-10-05T00:23:59Z
2019-10-04T19:48:04Z
CONTRIBUTOR
null
- [x] closes #27955 - [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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28,019
Backport PR #28016 on branch 0.25.x (TST: fix flaky xfail)
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2019-08-19T18:29:18Z
2019-08-20T06:45:49Z
2019-08-20T06:45:49Z
NONE
null
Backport PR #28016: TST: fix flaky xfail
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28,020
CLN: timeseries in plotting clean up
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2019-08-19T20:35:31Z
2019-09-11T01:44:01Z
2019-09-11T01:43:55Z
MEMBER
null
`format_timedelta_ticks` appears both in `timeseries.py` and `matplotlib.converter.py`, and there is no test. Then i look through the code base, it is only used in `matplotlib.converter.py` for `TimeSeries_TimedeltaFormatter`. So I remove the one in `timeseries.py` and add test for it. - [ ] closes #xxxx - [x] test...
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28,021
Create correct xlim for ts plot and update datetimelike tests
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2019-08-19T21:25:11Z
2021-07-11T05:53:42Z
null
MEMBER
null
xref: #27993 The view limit for non-datetime plotting is solved. and behavior will be the same as 0.23.4 e.g. ![Screen Shot 2019-08-21 at 3 59 55 PM](https://user-images.githubusercontent.com/9269816/63442234-0a7f4580-c433-11e9-8511-3a3b855015a4.png) HOWEVER, issue in datetime-like still exists: The issue wit...
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28,022
[Feature Request] pd.DataFrame.schema iterable
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2019-08-19T22:52:30Z
2021-07-11T05:56:11Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # feature request schema = df.schema # include all the index columns and the df.columns for column in schema: print(column.name, column.dtype) # plus other attributes? ``` Currently this is only available by using a pyarrow table, e.g. ``...
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482,566,468
MDU6SXNzdWU0ODI1NjY0Njg=
28,023
BUG: Series.loc[list] with uint64 keys raises KeyError (converted to floats)
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2019-08-19T22:59:39Z
2019-11-27T20:47:44Z
2019-11-27T20:47:44Z
NONE
null
```python bug = pd.Series([0, 1, 2, 3, 4], index=[7606741985629028552, 17876870360202815256, 13106359306506049338, 8991270399732411471, 8991270399732411471]) assert bug.loc[7606741985629028552]==0 assert bug.loc[17876870360202815256]==1 # throws KeyError: 'None of [[7606741985629028552, 17876870360202815256]] are i...
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MDExOlB1bGxSZXF1ZXN0MzA4ODM3MTQw
28,024
BUG: rfloordiv with fill_value, closes#27464
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2019-08-20T01:04:19Z
2019-08-20T18:42:02Z
2019-08-20T17:45:06Z
MEMBER
null
- [x] closes #27464, closes #26793 - [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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28,025
DES: Q about SparseDataFrame._combine_match_columns behavior
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4
2019-08-20T01:49:52Z
2019-09-18T14:02:12Z
2019-09-18T14:02:12Z
MEMBER
null
There is some idiosyncratic behavior that I think is non-intentional, need to double check: cc @jreback introduced the relevant code 8ee0a898a74df38318dfd01b6f9faa7957b0543c SparseDataFrame._combine_match_index and SparseDataFrame._combine_match_columns are both for arithmetic ops with a Series object, but with diff...
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28,026
DOC: Fix python code error in enhancingperf
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2019-08-20T02:44:50Z
2019-08-21T06:43:03Z
2019-08-21T06:43:03Z
CONTRIBUTOR
null
#### Problem description ![image](https://user-images.githubusercontent.com/6908807/63313152-7e8bf180-c33e-11e9-84a4-739a79e5436d.png) This screenshot is in `pandas 0.25.0 documentation`, https://pandas.pydata.org/pandas-docs/stable/user_guide/enhancingperf.html#using-ndarray Current code is ```python3 .. ipy...
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482,619,441
MDExOlB1bGxSZXF1ZXN0MzA4ODU1Nzk3
28,027
REF: standardize usage in DataFrame vs SparseDataFrame ops
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2019-08-20T03:02:38Z
2019-09-17T14:03:04Z
2019-09-17T12:40:44Z
MEMBER
null
I _think_ that after this we're not far from being able to use the base class versions of _combine_frame, _combine_match_index, _combine_match_columns, and _combine_const. That'll be a good day. The only actual behavior changed is in SparseDataFrame._combine_match_columns, which is changed to match the other method...
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28,028
Backport PR #27926 on branch 0.25.x (Fix regression in .ix fallback with IntervalIndex)
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2019-08-20T06:48:03Z
2019-08-20T13:32:27Z
2019-08-20T13:32:27Z
NONE
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Backport PR #27926: Fix regression in .ix fallback with IntervalIndex
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DOC: Change document code prun in a row
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2019-08-20T06:51:22Z
2019-08-21T06:43:26Z
2019-08-21T06:43:04Z
CONTRIBUTOR
null
- [x] closes #28026 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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Backport PR #27916 on branch 0.25.x (BUG: fix to_timestamp out_of_bounds)
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NONE
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Backport PR #27916: BUG: fix to_timestamp out_of_bounds
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DOC: Fix docstrings lack of punctuation
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2019-08-20T10:02:38Z
2019-08-23T09:03:11Z
2019-08-23T09:03:01Z
CONTRIBUTOR
null
- [ ] xref #27977 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Similar to issue #27979, and as pointed out by @datapythonista, the summaries of some dosctrings don’t end with a period. I added the period to th...
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482,799,380
MDExOlB1bGxSZXF1ZXN0MzA5MDAwMDY0
28,032
Add support to names keyword in Index
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2019-08-20T11:19:13Z
2019-10-03T19:09:56Z
2019-10-03T19:09:56Z
NONE
null
- [x] closes #19082 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MDU6SXNzdWU0ODI4MzIyODI=
28,033
warning in pandas code
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2019-08-20T12:32:06Z
2019-08-20T13:49:09Z
2019-08-20T13:42:39Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python df.loc[:, 'column'] = value ``` #### Problem description `SettingWithCopyWarning` in pandas code #### Output ``` /home/matheus/dev/my-project/venv/lib/python3.6/site-packages/pandas/core/indexing.py:362: SettingWithCopyWarning: A value ...
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482,866,149
MDU6SXNzdWU0ODI4NjYxNDk=
28,034
REGR: Index.union should pick correct dtype for combinations of tstamps with different tzones
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15
2019-08-20T13:36:54Z
2020-03-30T02:52:56Z
2020-03-30T02:52:55Z
NONE
null
Here's a pdb session showing the issue: ```python ipdb> basei DatetimeIndex(['2017-10-28 23:00:00+00:00', '2017-10-29 00:00:00+00:00', '2017-10-29 01:00:00+00:00', '2017-10-29 02:00:00+00:00'], dtype='datetime64[ns, UTC]', freq=None) ipdb> diffi DatetimeIndex(['2017-10-29 02:00:00+...
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28,035
Backport PR #27481 on branch 0.25.x (Correctly re-instate Matplotlib converters)
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2019-08-20T14:27:05Z
2019-08-20T16:18:42Z
2019-08-20T16:18:41Z
NONE
null
Backport PR #27481: Correctly re-instate Matplotlib converters
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28,036
CLN: small ops optimizations
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2019-08-20T14:42:49Z
2019-08-27T00:19:49Z
2019-08-26T23:39:13Z
MEMBER
null
@jorisvandenbossche you've mentioned some ops optimizations; any suggestions for things to add here?
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REF: boilerplate for ops internal consistency
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2019-08-20T15:12:34Z
2019-11-14T16:36:00Z
2019-11-14T16:31:55Z
MEMBER
null
Progress towards #23853, with more progress available pending resolution of #27911.
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28,038
DOC: Remove docs code header and use explicit imports in the user guide
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2019-08-20T15:41:15Z
2020-05-21T09:33:31Z
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MEMBER
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I've been discussing with the Binder team, and looks like it'll be possible soon to make the pandas examples in the docs runnable directly from the docs. I think this will be amazing, but I think it's one more reason to start being explicit and self-contained with the docs. One option is of course that the trickines...
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28,039
Bug: Resample removes timezone localization from Period.start_time
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2019-08-20T16:04:39Z
2021-07-11T06:01:36Z
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#### Code Sample ```python from pytz import timezone index = DatetimeIndex(['2019-01-01 06:00', '2019-01-01 07:00', '2019-01-01 08:00'], tz=timezone('Europe/Berlin')) s = Series(index=index, data=[1, 2, 3]) print(s.index.tz) rs = s.resample("3h", kind="period").sum() for x in rs.index: print(x.start_time....
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28,040
Backport PR #28024 on branch 0.25.x (BUG: rfloordiv with fill_value, closes#27464)
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2019-08-20T17:45:16Z
2019-08-20T19:17:16Z
2019-08-20T19:17:16Z
NONE
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Backport PR #28024: BUG: rfloordiv with fill_value, closes#27464
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28,041
Backport PR #27664: BUG: added a check for if obj is instance of type …
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2019-08-20T18:12:43Z
2019-08-20T19:16:57Z
2019-08-20T19:16:53Z
CONTRIBUTOR
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Manual backport of #27664
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28,042
Backport PR #26419 on branch 0.25.x (Fix GroupBy nth Handling with Observed=False)
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2019-08-20T19:02:23Z
2019-08-20T21:13:21Z
2019-08-20T21:13:21Z
NONE
null
Backport PR #26419: Fix GroupBy nth Handling with Observed=False
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28,043
DOC: Add punctuation to IntervalArray docstrings
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2019-08-20T19:14:21Z
2019-08-21T06:28:42Z
2019-08-21T06:28:33Z
CONTRIBUTOR
null
- [ ] xref #27979 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Added missing period to IntervalArray docstrings as suggested by @datapythonista for the following attributes and parameters: ``` pandas.arrays.Inte...
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28,044
Backport PR #27991 on branch 0.25.x (DataFrame html repr: also follow min_rows setting)
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2019-08-20T19:24:57Z
2019-08-21T17:48:47Z
2019-08-21T17:48:47Z
NONE
null
Backport PR #27991: DataFrame html repr: also follow min_rows setting
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MDU6SXNzdWU0ODMwNDM2ODA=
28,045
Integer overflow in Series.astype('datetime64[D]')
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2019-08-20T19:35:51Z
2019-11-17T23:06:22Z
null
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ``` >>> s = pd.Series(['9/22/1677', '4/11/2262'], dtype="U") >>> s 0 9/22/1677 1 4/11/2262 dtype: object >>> s.astype('datetime64') 0 1677-09-22 1 2262-04-11 dtype: datetime64[ns] >>> s.astype('datetime64[s]') 0 1677-09-22 1 22...
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483,096,398
MDU6SXNzdWU0ODMwOTYzOTg=
28,046
DOC: DataFrame.plot is missing most of the docstring
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3
2019-08-20T21:39:56Z
2019-08-30T21:51:01Z
2019-08-30T21:50:43Z
NONE
null
In the pandas 0.25.0 docs, at [pandas.DataFrame.plot.html](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html) #### Problem description The page is essentially missing. The only content is ``` DataFrame.plot(self, *args, **kwargs)[source] Call self as a function. ``` ...
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28,047
Issue 20927 fix resolves read_sas error for dates/datetimes greater than 2262-04-11
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2019-08-20T23:07:48Z
2020-05-25T21:47:59Z
2020-05-25T21:47:53Z
CONTRIBUTOR
null
- [x] closes #20927 - [x] tests added / passed - [x] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x ] whatsnew entry
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MDExOlB1bGxSZXF1ZXN0MzA5MjgzNzE5
28,048
BUG: retain extension dtypes in transpose
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2019-08-21T00:58:41Z
2020-04-05T17:35:17Z
2019-12-06T00:14:46Z
MEMBER
null
I'll have to look through the issues to see what this closes. - [ ] closes #xxxx - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,049
BUG: timedelta64(NaT) incorrectly treated as datetime in some dataframe ops
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2019-08-21T01:00:31Z
2019-09-20T23:45:26Z
2019-09-20T23:36:14Z
MEMBER
null
- [ ] closes #xxxx - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,050
NUM: inequality with complex dtypes
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2
2019-08-21T01:39:18Z
2021-08-22T18:03:11Z
2021-08-22T18:03:11Z
MEMBER
null
TL;DR: our comparisons with complex dtypes are not internally consistent: ``` arr = np.arange(5).astype(np.complex128) ser = pd.Series(arr) df = ser.to_frame() >>> df < df.astype(object) [...] TypeError: '<' not supported between instances of 'complex' and 'complex' >>> df.lt(df.astype(object)) ...
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28,051
TST: fix compression tests when run without virtualenv/condaenv
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2
2019-08-21T02:46:32Z
2019-08-23T18:22:18Z
2019-08-23T18:11:50Z
MEMBER
null
sys.executable is the pattern we use elsewhere in subprocess tests.
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MDExOlB1bGxSZXF1ZXN0MzA5MzA1MDMy
28,052
Make DataFrame.to_string output full content by default
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15
2019-08-21T03:10:21Z
2019-09-16T04:40:14Z
2019-09-16T02:33:40Z
CONTRIBUTOR
null
I modeled this off of https://github.com/pandas-dev/pandas/pull/24841. Some alternatives I considered: * Instead of setting the option_context here, we could wind the param into the depths of the formatter. I tried this, actually, and started finding a number of edge cases and bugs. I realized that the issue only oc...
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MDExOlB1bGxSZXF1ZXN0MzA5MzI2OTUz
28,053
DOC: fix punctuation in Timestamp/Timedelta docstrings
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2019-08-21T05:16:45Z
2019-09-28T07:39:09Z
2019-09-28T07:39:08Z
CONTRIBUTOR
null
- [ ] xref #27977 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Add periods to Timestamp and Timedelta doctrings for the following attributes and methods: ``` pandas.Timestamp.resolution pandas.Timestamp.tz pan...
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28,054
Backport PR #28029 on branch 0.25.x (DOC: Change document code prun in a row)
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2019-08-21T06:43:34Z
2019-08-21T17:08:05Z
2019-08-21T17:08:05Z
NONE
null
Backport PR #28029: DOC: Change document code prun in a row
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28,055
ValueError: buffer source array is read-only on DatetimeIndex with one element
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5
2019-08-21T07:15:42Z
2019-08-21T20:54:42Z
2019-08-21T20:54:42Z
NONE
null
#### Code Sample ```python # Your code here import pandas as pd import numpy as np times = np.array([np.datetime64('2012-02-15T12:00:00.000000000')]) times.setflags(write=False) [d for d in pd.to_datetime(times)] ``` #### Problem description The above code raises a `ValueError: buffer source array is re...
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MDU6SXNzdWU0ODMyNjQzNzI=
28,056
(df==0) vs. (df.values==0) performance penalty
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2019-08-21T08:09:12Z
2019-08-21T20:15:54Z
2019-08-21T16:15:07Z
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#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd T = 5000 S = 1000 X = np.random.randint(0, 10, size=(T, S)) df = pd.DataFrame(X, index=pd.date_range("2001-01-01", periods=T, freq="D")) %timeit (df == 0) >>> 327 ms ± 4.99 ms per loop (mean ± std. dev. of ...
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483,316,281
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28,057
Does read_hdf() in v0.25 really support "file-like object" as it claims?
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2019-08-21T09:47:16Z
2019-08-21T12:06:07Z
2019-08-21T12:06:07Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd pd.read_hdf('housing.h5') f=open('housing.h5', 'r') pd.read_hdf(f) ``` #### Problem description https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_hdf.html says: > path_or_buf : str...
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483,396,763
MDU6SXNzdWU0ODMzOTY3NjM=
28,058
pd.Series.nbytes
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2019-08-21T12:40:45Z
2019-08-21T14:23:49Z
2019-08-21T14:23:42Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python pd.Series(["s", "s", "dfffdd", "d"]).nbytes ``` #### Problem description I always get the same number of bytes, no matter how long the strings are #### Expected Output 96 # or 36 #### Output of ``pd.show_versions()`` <details> [past...
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MDExOlB1bGxSZXF1ZXN0MzA5NDgxOTM4
28,059
BUG: Correct the previous bug fixing on xlim for plotting
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2019-08-21T12:42:37Z
2019-08-21T15:18:11Z
2019-08-21T15:18:10Z
MEMBER
null
- [ ] xref: #28021 #27993 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MDExOlB1bGxSZXF1ZXN0MzA5NTU3Nzc5
28,060
Update groupby
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2019-08-21T15:26:38Z
2019-08-22T17:21:07Z
2019-08-22T17:21:07Z
CONTRIBUTOR
null
- [ ] closes #20519 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,061
PERF: cython-optimized datetime constructor
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2019-08-21T15:57:00Z
2020-04-05T17:35:53Z
2019-08-22T01:05:04Z
MEMBER
null
Calling the datetime constructor goes through python space, so the C code generated by `dt = datetime(obj.dts.year, obj.dts.month, obj.dts.day, obj.dts.hour, obj.dts.min, obj.dts.sec, obj.dts.us, obj.tzinfo)` in master is: ``` __pyx_t_1 = __Pyx_PyInt_From_npy_int64(__pyx_v_obj->dts.year); if (unlikely(!__pyx_t_1)...
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28,062
CI: Enable azure pipelines build on backport PRs
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2019-08-21T16:02:47Z
2019-08-21T16:09:13Z
2019-08-21T16:09:13Z
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28,063
CI: Test azure
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2019-08-21T16:06:11Z
2019-08-21T16:07:13Z
2019-08-21T16:06:36Z
CONTRIBUTOR
null
In the azure UI we had set up a branch filter to only build on master. This is testing that we still build for PRs against master.
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28,064
CI: Test azure
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2019-08-21T16:08:39Z
2019-08-21T18:41:16Z
2019-08-21T17:09:15Z
CONTRIBUTOR
null
Testing that an azure CI build is triggered (and passes) for 0.25.x
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28,065
CI: disable codecov
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2019-08-21T16:53:22Z
2019-08-21T21:09:16Z
2019-08-21T20:23:15Z
MEMBER
null
xref #27602
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28,066
REF: do extract_array earlier in series arith/comparison ops
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2019-08-21T17:09:14Z
2019-09-02T22:54:55Z
2019-09-02T21:09:20Z
MEMBER
null
With this, the middle third of _arith_method_SERIES and _comp_method_SERIES are array-specific and can be refactored out (separate step) to become a) block-wise implementation for DataFrame and b) PandasArray implementation. This also simplifies the NullFrequencyError handling nicely.
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28,067
Set SHA for codecov upload
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2019-08-21T17:11:08Z
2019-08-21T18:32:32Z
2019-08-21T18:32:28Z
CONTRIBUTOR
null
Just a test.
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Remove alias in pandas docs for numpy.random.randn
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2019-08-21T17:32:05Z
2019-08-22T12:55:25Z
2019-08-22T12:55:25Z
CONTRIBUTOR
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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set sha
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2019-08-21T17:41:31Z
2019-08-21T18:32:37Z
2019-08-21T18:32:37Z
CONTRIBUTOR
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- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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Backport PR #28067 on branch 0.25.x (Set SHA for codecov upload)
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Backport PR #28067: Set SHA for codecov upload
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Loading CSV files (using `read_csv`) with blank lines between header and data rows quits Python interpreter
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2019-08-21T19:07:05Z
2020-03-16T02:21:29Z
2020-03-16T02:21:29Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` import pandas as pd # tested with pandas 25.0 using Python 3.6.8 pd.read_csv('my_csv.csv', delimiter='|', header=4, nrows=1, skip_blank_lines=False) # this makes interpreter exit without any error message pd.read_csv('my_csv.csv', delimiter='|', header=4...
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28,072
TST: non-strict xfail for period test
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2
2019-08-21T19:31:38Z
2019-08-21T20:53:13Z
2019-08-21T20:53:10Z
CONTRIBUTOR
null
This was XPASSing on the MacPython builds: https://travis-ci.org/MacPython/pandas-wheels/jobs/574706922
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483,614,223
MDExOlB1bGxSZXF1ZXN0MzA5NjU2MzEy
28,073
DOC: Update whatsnew
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2019-08-21T19:39:00Z
2019-08-21T21:09:16Z
2019-08-21T20:52:03Z
CONTRIBUTOR
null
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483,631,931
MDExOlB1bGxSZXF1ZXN0MzA5NjcwODk5
28,074
BUG: iter with readonly values, closes #28055
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3
2019-08-21T20:20:23Z
2019-08-21T21:35:23Z
2019-08-21T20:54:42Z
MEMBER
null
@TomAugspurger wanted to get this in under the wire? - [x] closes #28055 - [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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483,636,777
MDExOlB1bGxSZXF1ZXN0MzA5Njc0OTEw
28,075
DOC: redirect from_csv search
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7
2019-08-21T20:30:56Z
2019-09-28T09:14:07Z
2019-09-28T09:14:07Z
CONTRIBUTOR
null
A web search for "DataFrame from CSV" leads to https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.from_csv.html which is currently a 404, since DataFrame.from_csv was removed. Redirect it to read_csv. Normally we shouldn't worry about this, but I suspect this is a common search term.
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MDExOlB1bGxSZXF1ZXN0MzA5NjgyNDYw
28,076
Backport PR #28065: CI: disable codecov
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2019-08-21T20:51:21Z
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CONTRIBUTOR
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MDExOlB1bGxSZXF1ZXN0MzA5NjgzNDE2
28,077
Backport PR #28072 on branch 0.25.x (TST: non-strict xfail for period test)
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2019-08-21T20:53:53Z
2019-08-22T11:29:21Z
2019-08-22T11:29:21Z
NONE
null
Backport PR #28072: TST: non-strict xfail for period test
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28,078
Auto backport of pr 28074 on 0.25.x
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2019-08-21T21:08:37Z
2019-08-22T11:30:28Z
2019-08-22T11:30:24Z
CONTRIBUTOR
null
#28073 and #28074
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28,079
API: flex comparisons DataFrame vs Series inconsistency
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2019-08-21T22:14:21Z
2019-09-26T12:25:29Z
2019-09-26T12:25:29Z
MEMBER
null
In tests.frame.test_arithmetic we test the DataFrame part of the following, but we do not test the Series behavior (at least not in that file) ``` arr = np.array([np.nan, 1, 6, np.nan]) arr2 = np.array([2j, np.nan, 7, None]) ser = pd.Series(arr) ser2 = pd.Series(arr2) df = pd.DataFrame(ser) df2 = pd.DataFrame(...
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28,080
BUG: Series[int] + datetime64 should raise
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2019-08-21T23:00:20Z
2019-09-10T11:40:19Z
2019-09-08T17:09:55Z
MEMBER
null
identified [here](https://github.com/pandas-dev/pandas/commit/a6c0d02c99cfaf90119d1316dd897019326472c1#r34783276). We handle this correctly for timedelta64, but apparently not datetime64 ``` iser = pd.Series(range(3)) dt = np.datetime64(3, "D") >>> iser + dt 0 1970-01-04 1 1970-01-05 2 1970-01-06 ```...
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28,081
REF: separate bloated test
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2019-08-22T03:09:37Z
2019-09-02T22:56:03Z
2019-09-02T21:06:27Z
MEMBER
null
Working on logical ops I'm finding a bunch of internal inconsistencies that will need to be addressed. Since those are liable to have large diffs, this starts off with refactor that leaves behavior unchanged: simplify the method itself, and split a giant test into well-scoped ones.
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DOC: Remove alias for numpy.random.randn from the docs
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2019-08-22T03:41:27Z
2019-08-23T09:01:35Z
2019-08-23T09:01:29Z
CONTRIBUTOR
null
Based on this comment: https://github.com/pandas-dev/pandas/issues/28038#issuecomment-523439376 Supersedes #28068
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28,083
`The default of the 'keep_tz' keyword in DatetimeIndex.to_series will change to True in a future release.`
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2019-08-22T03:52:12Z
2019-08-23T18:10:49Z
2019-08-23T18:10:49Z
NONE
null
#### Code Sample, a copy-pastable example if possible How am I supposed to turn this warning down without patching pandas ? ``` DEBUG:mptcpanalyzer.connection:Filling mptcp destinations Traceback (most recent call last): File "/nix/store/a5sg76c2q39jk0lgn5bxi4vfm0j36rrx-python3.7-cmd2-0.9.17/lib/python3.7/site...
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28,084
pandas slow replace with int64 columns in dataframe
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2019-08-22T10:28:54Z
2019-08-26T20:14:07Z
2019-08-26T20:14:07Z
NONE
null
Reproduced issue in part without n2 and n3 and with n2 n3 see prior issue: https://github.com/pandas-dev/pandas/issues/12257 The replace runs 10x slower when encountering int64 columns WITHOUT n2,n3, **1.73 seconds** ``` a1=np.zeros((40000000,1)) a1[:,:]=np.inf df=pd.DataFrame(a1) df['a1']='' df['n1']=0.0 ...
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28,085
Backport PR #27827 on branch 0.25.x (BUG: Fixed groupby quantile for listlike q)
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2019-08-22T11:29:00Z
2019-08-23T13:30:32Z
2019-08-22T12:17:29Z
NONE
null
Backport PR #27827: BUG: Fixed groupby quantile for listlike q
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28,086
Index not iterable in Pandas 0.25.0
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2019-08-22T11:45:15Z
2019-08-22T14:02:31Z
2019-08-22T14:02:31Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd import matplotlib.pyplot as plt # Get graphs in the notebook: %matplotlib inline pd.show_versions() df = pd.DataFrame({'A': [1, 2, 3, 4, 15, 20, 99]}) data = df['A'] plt.plot(data, (data.index.values + 1) / len(data...
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Backport PR #27814 on branch 0.25.x (BUG: Series.rename raises error on values accepted by Series construc…)
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2019-08-22T13:07:58Z
2019-08-22T13:47:33Z
2019-08-22T13:47:33Z
NONE
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Backport PR #27814: BUG: Series.rename raises error on values accepted by Series construc…
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Backport PR #27650 on branch 0.25.x (issue #27642 - timedelta merge asof with tolerance)
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2019-08-22T14:29:30Z
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NONE
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Backport PR #27650: issue #27642 - timedelta merge asof with tolerance
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DOC: Make explicit in pandas IO doc the imports and options
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2019-08-22T13:25:11Z
2019-11-07T21:14:32Z
2019-11-07T21:14:26Z
CONTRIBUTOR
null
- [x] works on #28038 - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] Removes code header from IO doc page. - [x] Uses explicit imports in the IO doc page of user guide on first occurrence of requirement. Reference @datapythonista - [149](https://github.com...
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28,090
Parquet, boolean dataframes & reindex
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2019-08-22T14:12:04Z
2019-08-22T18:21:27Z
2019-08-22T18:21:20Z
CONTRIBUTOR
null
Hello #### Code Sample, a copy-pastable example if possible ```python # pandas 0.25.0 # pyarrow 0.14.1 import pandas as pd df = pd.DataFrame(dtype=bool, index=range(100)) df['A'] = True df['B'] = False df['C'] = True df['D'] = False df['E'] = True df['F'] = False index = [0, 2, 3, 4, 5, 6, 7, 8, 10...
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28,091
Repeat headings every n-th row in Jupyter-lab notebook
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2019-08-22T14:33:12Z
2019-08-26T14:39:47Z
2019-08-26T14:39:47Z
NONE
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- [ ] closes #27563 - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Adds a new option in `pd.set_option()` method. Usage: ```python # n is an int that represents the interval of rows which the headers are repeat...
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MDU6SXNzdWU0ODQwNDEzMzE=
28,092
Cannot map Timestamp.isocalendar on tz-aware timestamp series, gives ValueError: MultiIndex has no single backing array
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2019-08-22T14:49:55Z
2019-08-23T05:18:53Z
2019-08-23T05:18:52Z
CONTRIBUTOR
null
### Problem description While: pd.to_datetime(dates).map(pd.Timestamp.isocalendar) works as expected, pd.to_datetime(dates, utc=True).map(pd.Timestamp.isocalendar) (i.e. just adding `utc=True`) or any variation of it using `map` fails with the below error. Only a list comprehension works, so i...
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28,093
Circular reference warning after subsetting data frame
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2019-08-22T15:34:43Z
2019-08-22T16:47:15Z
2019-08-22T15:44:12Z
NONE
null
# NO WARNING: import pandas import numpy df1 = pandas.DataFrame(numpy.array([[1, '123', 3], [4, 'dE1', 6], [7, 'gH2', 9]]), columns=['a', 'b', 'c']) df1['b']=df1['b'].apply(str.lower) #.copy(deep=True)#.copy(deep=False) df1 # WARNING import pandas import numpy df1 = pandas.DataFrame(numpy.array([[1, '123',...
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28,094
Circular reference warning after subsetting data frame AND AFTER COPY
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2019-08-22T16:00:54Z
2019-08-22T18:19:30Z
2019-08-22T16:24:20Z
NONE
null
# PLEASE READ AND RUN BEFORE CLOSING it is after subsetting that the warning appears no meter if copy is used # WARNING AFTER SUBSETTING no matter if COPY was used import pandas import numpy df1 = pandas.DataFrame(numpy.array([[1, '123', 3], [4, 'dE1', 6], [7, 'gH2', 9]]), columns=['a', 'b', 'c']) df2 = d...
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ROADMAP: Consistent missing value handling with new NA scalar
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2019-08-22T16:10:31Z
2019-11-13T14:54:00Z
null
MEMBER
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I cleaned up my initial write up on the consistent missing values proposal (https://github.com/pandas-dev/pandas/issues/27825#issuecomment-520583911), and incorporated the items brought up in the last video chat. So I think it is ready for some more detailed discussion. The last version of the full proposal can be f...
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28,096
DOC: Fixes to docstrings formatting
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2019-08-22T17:12:54Z
2019-08-25T20:11:07Z
2019-08-25T20:11:01Z
CONTRIBUTOR
null
- [ ] closes #xxxx - [ ] tests added / passed - [ ] passes `black pandas` - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,097
ENH: groupby missing data in index
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2019-08-22T17:34:29Z
2019-10-27T10:23:18Z
2019-10-25T16:34:52Z
CONTRIBUTOR
null
- [x] closes #20519 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry `.groupby` intialize "grouper" by _get_grouper_for_level. Base on "code", "level_index" fills with non-NA value if there is NA value. Problem is if ...
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merge_asof() tolerance cannot be datetime.timedelta
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2019-08-22T18:43:35Z
2019-09-25T15:50:32Z
2019-09-25T15:50:32Z
CONTRIBUTOR
null
#### Code Sample ``` import pandas as pd import numpy as np from datetime import timedelta left = pd.DataFrame( list(zip([0, 5, 10, 15, 20, 25], [0, 1, 2, 3, 4, 5])), columns=["time", "left"], ) left["time"] = pd.to_timedelta(left["time"], "ms") right = pd.DataFrame( list(zip([0, 3, 9, 12, 15...
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PERF: replace with list, closes #28084
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2019-08-22T18:59:55Z
2019-08-26T20:35:21Z
2019-08-26T20:14:07Z
MEMBER
null
- [x] closes #28084 - [ ] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry based on the OP's example: ``` In [2]: df = pd.DataFrame({"A": 0, "B": 0}, index=range(4*10**7)) In [3]: %timeit df.replace([np.inf, -np.inf]...
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Bug: merge_asof() cannot use datetime.timedelta as tolerance kwarg
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2019-08-22T19:15:06Z
2019-08-31T02:39:22Z
2019-08-27T22:07:51Z
CONTRIBUTOR
null
- [x] Fixes issue #28098 - [x] tests added / passed [1/0] - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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28,101
COMPAT: implement visit_Constant for 3.8 compat
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2019-08-22T19:49:26Z
2019-08-26T14:22:35Z
2019-08-26T14:22:31Z
CONTRIBUTOR
null
Closes https://github.com/pandas-dev/pandas/issues/27261 xref https://bugs.python.org/issue32892
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28,102
DataFrameGroupby.boxplot fails when subplots=False
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2019-08-22T20:37:07Z
2020-11-08T03:03:16Z
2020-11-08T03:03:11Z
MEMBER
null
- [x] closes #16748 - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry ![Screen Shot 2020-10-13 at 8 06 48 PM](https://user-images.githubusercontent.com/9269816/95898874-037e6980-0d90-11eb-85b3-e00fe36611b9.png)
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28,103
Deterministic gzip compressed outputs
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6
2019-08-22T21:04:28Z
2021-08-13T20:46:31Z
2020-08-13T22:04:50Z
CONTRIBUTOR
null
GZ-compression writes the filename and timestamp into compressed data's header. This means that compressing the same data at different times will produce outputs that are not byte-for-byte identical. In the past, this has presented [problems for OS distros](https://wiki.debian.org/ReproducibleBuilds/TimestampsInGzip...
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28,104
Period overflows with dates > pd.Timestamp.max 2262-04-11
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2019-08-22T21:20:46Z
2020-04-02T05:03:14Z
null
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd g = pd.Period(year=2262, month=4, day=11, freq='D') print(g.start_time) g2 = pd.Period(year=2262, month=4, day=12, freq='D') print(g2.start_time) ``` Output: (with pandas 0.25.0) 2262-04-11 00:00:00 1677-09-21 00:25:26.29044...
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28,105
Series binary operator behavior depends on the count of each value in the index
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3
2019-08-22T21:34:01Z
2019-11-02T22:02:49Z
null
NONE
null
#### Code Sample ```python >>> one = pd.Series([12, 13, 14], index=[3, 3, 3]) >>> other = pd.Series([-20, 20], index=[3, 3]) >>> another = pd.Series([-20, 20, 40], index=[3, 3, 3]) >>> print(one.subtract(other)) 3 32 3 -8 3 33 3 -7 3 34 3 -6 dtype: int64 >>> print(one.subtract(another))...
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28,106
Pandas ExcelWriter append fails to preserve images in other sheets.
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2019-08-22T22:38:35Z
2019-08-24T06:00:20Z
2019-08-24T06:00:16Z
NONE
null
```python import pandas df = pandas.DataFrame([[1,2,3],[4,5,6]]) with pd.ExcelWriter('input_excel.xlsx', mode='a') as writer: df.to_excel(writer, sheet_name='PandasTestSheet') ``` #### Problem description 'input_excel.xlsx' contains one sheet with some data in cells and an image added via excel's insert...
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28,107
BUG: SparseDataFrame op incorrectly casting to float
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2019-08-23T00:57:56Z
2019-09-02T22:57:04Z
2019-09-02T21:04:12Z
MEMBER
null
- [ ] closes #xxxx - [x] tests added / passed - [x] passes `black pandas` - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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28,108
DataFrame.mean() ignores datetime series
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2019-08-23T03:16:57Z
2020-09-21T22:10:31Z
2020-09-21T22:10:30Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python In [1]: import pandas as pd In [2]: from datetime import datetime In [3]: s = pd.Series([datetime(2014, 7, 9), ...: datetime(2014, 7, 10), ...: datetime(2014, 7, 11)]) In [4]: df = pd.DataFrame({'numeric':[1,2,3], ...
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GroupBy.rank with "TypeError: 'NoneType' object is not callable"
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2019-08-23T05:38:06Z
2019-08-26T20:01:48Z
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#### ```python # factor_data.groupby(grouper)['factor'].rank() ``` #### Problem description **when I use groupby.rank method , TypeError occur in "pandas\core\groupby\ops.py" file.** File "<ipython-input-3-fdfa537b4972>", line 1, in <module> runfile('E:/myStra/factor/funfile/analysis/factorAnaCNE6.py'...
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RLS: 0.25.2
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2019-08-23T11:47:50Z
2019-10-19T14:21:09Z
2019-10-19T14:21:08Z
CONTRIBUTOR
null
cc @pandas-dev/pandas-core Python 3.8 is due on October 21, which will likely beat 1.0. We should release a 0.25.2 around then that's just 0.25.1 + 3.8 compatibility and regressions from 0.24.x.
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28,111
DOC: Start 0.25.2
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2019-08-23T13:36:23Z
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28,112
Backport PR #28111 on branch 0.25.x (DOC: Start 0.25.2)
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2019-08-25T18:09:59Z
2019-08-25T18:09:58Z
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Backport PR #28111: DOC: Start 0.25.2
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