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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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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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I've tentatively targeted Wednesday.
Does anyone want to do this actual release work? Otherwise, I can. | {
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- [ ] closes #xxxx
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The view limit for non-datetime plotting is solved. and behavior will be the same as 0.23.4
e.g.

HOWEVER, issue in datetime-like still exists:
The issue wit... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28022/events | https://github.com/pandas-dev/pandas/issues/28022 | 482,564,544 | MDU6SXNzdWU0ODI1NjQ1NDQ= | 28,022 | [Feature Request] pd.DataFrame.schema iterable | {
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```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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https://api.github.com/repos/pandas-dev/pandas/issues/28023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28023/events | https://github.com/pandas-dev/pandas/issues/28023 | 482,566,468 | MDU6SXNzdWU0ODI1NjY0Njg= | 28,023 | BUG: Series.loc[list] with uint64 keys raises KeyError (converted to floats) | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/28024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28024/events | https://github.com/pandas-dev/pandas/pull/28024 | 482,594,648 | MDExOlB1bGxSZXF1ZXN0MzA4ODM3MTQw | 28,024 | BUG: rfloordiv with fill_value, closes#27464 | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/28025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28025/events | https://github.com/pandas-dev/pandas/issues/28025 | 482,603,853 | MDU6SXNzdWU0ODI2MDM4NTM= | 28,025 | DES: Q about SparseDataFrame._combine_match_columns behavior | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/28026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28026/events | https://github.com/pandas-dev/pandas/issues/28026 | 482,615,559 | MDU6SXNzdWU0ODI2MTU1NTk= | 28,026 | DOC: Fix python code error in enhancingperf | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/28027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28027/events | https://github.com/pandas-dev/pandas/pull/28027 | 482,619,441 | MDExOlB1bGxSZXF1ZXN0MzA4ODU1Nzk3 | 28,027 | REF: standardize usage in DataFrame vs SparseDataFrame ops | {
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The only actual behavior changed is in SparseDataFrame._combine_match_columns, which is changed to match the other method... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28028/events | https://github.com/pandas-dev/pandas/pull/28028 | 482,675,588 | MDExOlB1bGxSZXF1ZXN0MzA4OTAwMTU0 | 28,028 | Backport PR #27926 on branch 0.25.x (Fix regression in .ix fallback with IntervalIndex) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28029/events | https://github.com/pandas-dev/pandas/pull/28029 | 482,676,797 | MDExOlB1bGxSZXF1ZXN0MzA4OTAxMTI4 | 28,029 | DOC: Change document code prun in a row | {
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"followers_url": "https://api.github.... | 3 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28031/events | https://github.com/pandas-dev/pandas/pull/28031 | 482,765,183 | MDExOlB1bGxSZXF1ZXN0MzA4OTcxODQ4 | 28,031 | DOC: Fix docstrings lack of punctuation | {
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] | closed | false | null | [] | null | 1 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28032/events | https://github.com/pandas-dev/pandas/pull/28032 | 482,799,380 | MDExOlB1bGxSZXF1ZXN0MzA5MDAwMDY0 | 28,032 | Add support to names keyword in Index | {
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"description": "R... | closed | false | null | [] | null | 7 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28033/events | https://github.com/pandas-dev/pandas/issues/28033 | 482,832,282 | MDU6SXNzdWU0ODI4MzIyODI= | 28,033 | warning in pandas code | {
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] | closed | false | null | [] | null | 2 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28034/events | https://github.com/pandas-dev/pandas/issues/28034 | 482,866,149 | MDU6SXNzdWU0ODI4NjYxNDk= | 28,034 | REGR: Index.union should pick correct dtype for combinations of tstamps with different tzones | {
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"des... | closed | false | null | [] | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28035/events | https://github.com/pandas-dev/pandas/pull/28035 | 482,895,634 | MDExOlB1bGxSZXF1ZXN0MzA5MDc5MjEy | 28,035 | Backport PR #27481 on branch 0.25.x (Correctly re-instate Matplotlib converters) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28036/events | https://github.com/pandas-dev/pandas/pull/28036 | 482,904,962 | MDExOlB1bGxSZXF1ZXN0MzA5MDg2ODY0 | 28,036 | CLN: small ops optimizations | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28037/events | https://github.com/pandas-dev/pandas/pull/28037 | 482,922,586 | MDExOlB1bGxSZXF1ZXN0MzA5MTAxMjQz | 28,037 | REF: boilerplate for ops internal consistency | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28038/events | https://github.com/pandas-dev/pandas/issues/28038 | 482,938,906 | MDU6SXNzdWU0ODI5Mzg5MDY= | 28,038 | DOC: Remove docs code header and use explicit imports in the user guide | {
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] | open | false | null | [] | null | 22 | 2019-08-20T15:41:15Z | 2020-05-21T09:33:31Z | null | MEMBER | null | 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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```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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https://api.github.com/repos/pandas-dev/pandas/issues/28040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28040/events | https://github.com/pandas-dev/pandas/pull/28040 | 482,995,639 | MDExOlB1bGxSZXF1ZXN0MzA5MTU5OTY2 | 28,040 | Backport PR #28024 on branch 0.25.x (BUG: rfloordiv with fill_value, closes#27464) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28043 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28043/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28043/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28043/events | https://github.com/pandas-dev/pandas/pull/28043 | 483,034,813 | MDExOlB1bGxSZXF1ZXN0MzA5MTkxNjMx | 28,043 | DOC: Add punctuation to IntervalArray docstrings | {
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- [ ] 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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https://api.github.com/repos/pandas-dev/pandas/issues/28045 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28045/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28045/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28045/events | https://github.com/pandas-dev/pandas/issues/28045 | 483,043,680 | MDU6SXNzdWU0ODMwNDM2ODA= | 28,045 | Integer overflow in Series.astype('datetime64[D]') | {
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... | open | false | null | [] | null | 2 | 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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[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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- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] closes #xxxx
- [x] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/28050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28050/events | https://github.com/pandas-dev/pandas/issues/28050 | 483,156,299 | MDU6SXNzdWU0ODMxNTYyOTk= | 28,050 | NUM: inequality with complex dtypes | {
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"gists_url":... | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28051 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28051/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28051/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28051/events | https://github.com/pandas-dev/pandas/pull/28051 | 483,170,757 | MDExOlB1bGxSZXF1ZXN0MzA5MzAxMTEz | 28,051 | TST: fix compression tests when run without virtualenv/condaenv | {
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"followers_url": "https://api.github.com/users/wesm... | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28052 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28052/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28052/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28052/events | https://github.com/pandas-dev/pandas/pull/28052 | 483,175,894 | MDExOlB1bGxSZXF1ZXN0MzA5MzA1MDMy | 28,052 | Make DataFrame.to_string output full content by default | {
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* 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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https://api.github.com/repos/pandas-dev/pandas/issues/28053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28053/events | https://github.com/pandas-dev/pandas/pull/28053 | 483,204,349 | MDExOlB1bGxSZXF1ZXN0MzA5MzI2OTUz | 28,053 | DOC: fix punctuation in Timestamp/Timedelta docstrings | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28054 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28054/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28054/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28054/events | https://github.com/pandas-dev/pandas/pull/28054 | 483,229,169 | MDExOlB1bGxSZXF1ZXN0MzA5MzQ2Nzgz | 28,054 | Backport PR #28029 on branch 0.25.x (DOC: Change document code prun in a row) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28055 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28055/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28055/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28055/events | https://github.com/pandas-dev/pandas/issues/28055 | 483,241,194 | MDU6SXNzdWU0ODMyNDExOTQ= | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28056 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28056/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28056/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28056/events | https://github.com/pandas-dev/pandas/issues/28056 | 483,264,372 | MDU6SXNzdWU0ODMyNjQzNzI= | 28,056 | (df==0) vs. (df.values==0) performance penalty | {
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```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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https://api.github.com/repos/pandas-dev/pandas/issues/28057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28057/events | https://github.com/pandas-dev/pandas/issues/28057 | 483,316,281 | MDU6SXNzdWU0ODMzMTYyODE= | 28,057 | Does read_hdf() in v0.25 really support "file-like object" as it claims? | {
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"gist... | [] | closed | false | null | [] | null | 1 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28058/events | https://github.com/pandas-dev/pandas/issues/28058 | 483,396,763 | MDU6SXNzdWU0ODMzOTY3NjM= | 28,058 | pd.Series.nbytes | {
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```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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https://api.github.com/repos/pandas-dev/pandas/issues/28060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28060/events | https://github.com/pandas-dev/pandas/pull/28060 | 483,491,389 | MDExOlB1bGxSZXF1ZXN0MzA5NTU3Nzc5 | 28,060 | Update groupby | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28061/events | https://github.com/pandas-dev/pandas/pull/28061 | 483,508,799 | MDExOlB1bGxSZXF1ZXN0MzA5NTcxMTY3 | 28,061 | PERF: cython-optimized datetime constructor | {
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```
__pyx_t_1 = __Pyx_PyInt_From_npy_int64(__pyx_v_obj->dts.year); if (unlikely(!__pyx_t_1)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28062/events | https://github.com/pandas-dev/pandas/issues/28062 | 483,511,956 | MDU6SXNzdWU0ODM1MTE5NTY= | 28,062 | CI: Enable azure pipelines build on backport PRs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28063/events | https://github.com/pandas-dev/pandas/pull/28063 | 483,513,703 | MDExOlB1bGxSZXF1ZXN0MzA5NTc0ODk2 | 28,063 | CI: Test azure | {
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https://api.github.com/repos/pandas-dev/pandas/issues/28064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28064/events | https://github.com/pandas-dev/pandas/pull/28064 | 483,514,991 | MDExOlB1bGxSZXF1ZXN0MzA5NTc1ODYx | 28,064 | CI: Test azure | {
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This also simplifies the NullFrequencyError handling nicely. | {
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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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```
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
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"followers_url": "https://api.github.... | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28073/events | https://github.com/pandas-dev/pandas/pull/28073 | 483,614,223 | MDExOlB1bGxSZXF1ZXN0MzA5NjU2MzEy | 28,073 | DOC: Update whatsnew | {
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- [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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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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https://api.github.com/repos/pandas-dev/pandas/issues/28079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28079/events | https://github.com/pandas-dev/pandas/issues/28079 | 483,677,427 | MDU6SXNzdWU0ODM2Nzc0Mjc= | 28,079 | API: flex comparisons DataFrame vs Series inconsistency | {
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```
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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https://api.github.com/repos/pandas-dev/pandas/issues/28080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28080/events | https://github.com/pandas-dev/pandas/issues/28080 | 483,690,109 | MDU6SXNzdWU0ODM2OTAxMDk= | 28,080 | BUG: Series[int] + datetime64 should raise | {
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```
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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"followers_url": "https://api.github.com/users/wesm... | 2 | 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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] | closed | false | null | [] | null | 4 | 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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] | closed | false | null | [] | null | 2 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28084/events | https://github.com/pandas-dev/pandas/issues/28084 | 483,907,443 | MDU6SXNzdWU0ODM5MDc0NDM= | 28,084 | pandas slow replace with int64 columns in dataframe | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/28086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28086/events | https://github.com/pandas-dev/pandas/issues/28086 | 483,944,591 | MDU6SXNzdWU0ODM5NDQ1OTE= | 28,086 | Index not iterable in Pandas 0.25.0 | {
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```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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https://api.github.com/repos/pandas-dev/pandas/issues/28089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28089/events | https://github.com/pandas-dev/pandas/pull/28089 | 483,993,336 | MDExOlB1bGxSZXF1ZXN0MzA5OTYwMDQ2 | 28,089 | DOC: Make explicit in pandas IO doc the imports and options | {
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- [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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https://api.github.com/repos/pandas-dev/pandas/issues/28090 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28090/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28090/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28090/events | https://github.com/pandas-dev/pandas/issues/28090 | 484,019,552 | MDU6SXNzdWU0ODQwMTk1NTI= | 28,090 | Parquet, boolean dataframes & reindex | {
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#### 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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https://api.github.com/repos/pandas-dev/pandas/issues/28091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28091/events | https://github.com/pandas-dev/pandas/pull/28091 | 484,031,599 | MDExOlB1bGxSZXF1ZXN0MzA5OTkxODEw | 28,091 | Repeat headings every n-th row in Jupyter-lab notebook | {
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"color": "AD7FA... | closed | false | null | [] | null | 6 | 2019-08-22T14:33:12Z | 2019-08-26T14:39:47Z | 2019-08-26T14:39:47Z | NONE | null | - [ ] 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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https://api.github.com/repos/pandas-dev/pandas/issues/28092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28092/events | https://github.com/pandas-dev/pandas/issues/28092 | 484,041,331 | MDU6SXNzdWU0ODQwNDEzMzE= | 28,092 | Cannot map Timestamp.isocalendar on tz-aware timestamp series, gives ValueError: MultiIndex has no single backing array | {
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"description": "Extending pandas with cu... | closed | false | null | [] | null | 2 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28093/events | https://github.com/pandas-dev/pandas/issues/28093 | 484,066,233 | MDU6SXNzdWU0ODQwNjYyMzM= | 28,093 | Circular reference warning after subsetting data frame | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/28094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28094/events | https://github.com/pandas-dev/pandas/issues/28094 | 484,083,545 | MDU6SXNzdWU0ODQwODM1NDU= | 28,094 | Circular reference warning after subsetting data frame AND AFTER COPY | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/28095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28095/events | https://github.com/pandas-dev/pandas/issues/28095 | 484,088,146 | MDU6SXNzdWU0ODQwODgxNDY= | 28,095 | ROADMAP: Consistent missing value handling with new NA scalar | {
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"color": "AD7FA8"... | open | false | null | [] | null | 63 | 2019-08-22T16:10:31Z | 2019-11-13T14:54:00Z | null | MEMBER | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28096/events | https://github.com/pandas-dev/pandas/pull/28096 | 484,114,277 | MDExOlB1bGxSZXF1ZXN0MzEwMDYwNDEx | 28,096 | DOC: Fixes to docstrings formatting | {
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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/28097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28097/events | https://github.com/pandas-dev/pandas/pull/28097 | 484,123,283 | MDExOlB1bGxSZXF1ZXN0MzEwMDY3NzI1 | 28,097 | ENH: groupby missing data in index | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28098/events | https://github.com/pandas-dev/pandas/issues/28098 | 484,152,035 | MDU6SXNzdWU0ODQxNTIwMzU= | 28,098 | merge_asof() tolerance cannot be datetime.timedelta | {
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"de... | closed | false | null | [] | null | 0 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28099 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28099/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28099/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28099/events | https://github.com/pandas-dev/pandas/pull/28099 | 484,159,037 | MDExOlB1bGxSZXF1ZXN0MzEwMDk2OTUy | 28,099 | PERF: replace with list, closes #28084 | {
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- [ ] 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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https://api.github.com/repos/pandas-dev/pandas/issues/28100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28100/events | https://github.com/pandas-dev/pandas/pull/28100 | 484,165,206 | MDExOlB1bGxSZXF1ZXN0MzEwMTAyMDM0 | 28,100 | Bug: merge_asof() cannot use datetime.timedelta as tolerance kwarg | {
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] | closed | false | null | [] | null | 6 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28101/events | https://github.com/pandas-dev/pandas/pull/28101 | 484,179,548 | MDExOlB1bGxSZXF1ZXN0MzEwMTEzNjEz | 28,101 | COMPAT: implement visit_Constant for 3.8 compat | {
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xref https://bugs.python.org/issue32892
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https://api.github.com/repos/pandas-dev/pandas/issues/28102 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28102/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28102/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28102/events | https://github.com/pandas-dev/pandas/pull/28102 | 484,204,619 | MDExOlB1bGxSZXF1ZXN0MzEwMTMzODg4 | 28,102 | DataFrameGroupby.boxplot fails when subplots=False | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry

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https://api.github.com/repos/pandas-dev/pandas/issues/28103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28103/events | https://github.com/pandas-dev/pandas/issues/28103 | 484,215,748 | MDU6SXNzdWU0ODQyMTU3NDg= | 28,103 | Deterministic gzip compressed outputs | {
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"followers_url": "https://api.github.com/users/j... | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28104/events | https://github.com/pandas-dev/pandas/issues/28104 | 484,223,049 | MDU6SXNzdWU0ODQyMjMwNDk= | 28,104 | Period overflows with dates > pd.Timestamp.max 2262-04-11 | {
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... | 12 | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28105/events | https://github.com/pandas-dev/pandas/issues/28105 | 484,227,887 | MDU6SXNzdWU0ODQyMjc4ODc= | 28,105 | Series binary operator behavior depends on the count of each value in the index | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 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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https://api.github.com/repos/pandas-dev/pandas/issues/28106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28106/events | https://github.com/pandas-dev/pandas/issues/28106 | 484,248,456 | MDU6SXNzdWU0ODQyNDg0NTY= | 28,106 | Pandas ExcelWriter append fails to preserve images in other sheets. | {
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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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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```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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```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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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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