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https://api.github.com/repos/pandas-dev/pandas/issues/24213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24213/events | https://github.com/pandas-dev/pandas/pull/24213 | 389,494,262 | MDExOlB1bGxSZXF1ZXN0MjM3NDcyMzE1 | 24,213 | Alternative implementation for `.where` on EA-backed Indexes | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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- `merge_asof()` is only benchmarked in the default direction, despite the other two directions having uniqu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24215/events | https://github.com/pandas-dev/pandas/pull/24215 | 389,529,422 | MDExOlB1bGxSZXF1ZXN0MjM3NDk5NzU5 | 24,215 | Fix docstring of functions created with the deprecate() function | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/24217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24217/events | https://github.com/pandas-dev/pandas/pull/24217 | 389,551,685 | MDExOlB1bGxSZXF1ZXN0MjM3NTE3MTIw | 24,217 | Fix flake8 issues on v22, v23 and v24rst | {
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- [x] `flake8-rst source/whatsnew/v0.22.0.rst` and `flake8-rst source/whatsnew/v0.23.0.rst`
This is related to #24177
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... | 15 | 2018-12-11T02:23:58Z | 2019-01-08T22:34:37Z | 2019-01-08T22:34:37Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
a = [0, 100900, 101000, 101000, 101000, 100900, 100900, 100900,
100900, 100900, 100900, 100900, 100900, 100900, 100900,
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https://api.github.com/repos/pandas-dev/pandas/issues/24219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24219/events | https://github.com/pandas-dev/pandas/issues/24219 | 389,574,535 | MDU6SXNzdWUzODk1NzQ1MzU= | 24,219 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.19.0.rst | {
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We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
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We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
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"followers_url": "https://api.github... | 0 | 2018-12-11T03:04:06Z | 2018-12-13T00:44:43Z | 2018-12-13T00:44:43Z | CONTRIBUTOR | null | Warning when building the C extensions:
```
pandas/_libs/src/ujson/python/objToJSON.c:444:14: warning: 'PyUnicode_EncodeUTF8' is deprecated [-Wdeprecated-declarations]
newObj = PyUnicode_EncodeUTF8(PyUnicode_AS_UNICODE(obj),
^
/usr/local/Cellar/python/3.7.1/Frameworks/Python.framework/Versions/3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24222/events | https://github.com/pandas-dev/pandas/issues/24222 | 389,577,585 | MDU6SXNzdWUzODk1Nzc1ODU= | 24,222 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.21.0.rst | {
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"followers_url": "https://api.github... | 0 | 2018-12-11T03:07:35Z | 2018-12-13T02:00:03Z | 2018-12-13T02:00:03Z | CONTRIBUTOR | null | We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setup.cfg` in the pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24223/events | https://github.com/pandas-dev/pandas/issues/24223 | 389,616,060 | MDU6SXNzdWUzODk2MTYwNjA= | 24,223 | Error reporting when data frame sets subset to list using drop_duplicates: TypeError: unhashable type:'list' | {
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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24224/events | https://github.com/pandas-dev/pandas/issues/24224 | 389,729,434 | MDU6SXNzdWUzODk3Mjk0MzQ= | 24,224 | Keep Rolling operations result at float32 | {
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... | closed | false | null | [] | null | 3 | 2018-12-11T11:56:26Z | 2018-12-12T06:18:23Z | 2018-12-12T06:18:23Z | NONE | null | #### Code Sample
```python
my_series = pd.Series([1,2,3,4,5,6,7,8,9]).astype(np.float32)
my_series
```
0 1.0
1 2.0
2 3.0
3 4.0
4 5.0
5 6.0
6 7.0
7 8.0
8 9.0
dtype: float32
```python
my_series.rolling(3).sum()
```
0 NaN
1 NaN
2 6.0
3 9.0
4 12.0
5... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-12-11T13:01:12Z | 2018-12-11T14:24:47Z | 2018-12-11T14:24:34Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> pd.Timestamp('2001-02-03 04:05:06.99999999').floor('1s')
Timestamp('2001-02-03 04:05:07')
>>> pd.Timestamp('2004-05-06 07:08:59.9999999').floor('1min')
Timestamp('2004-05-06 07:09:00')
```
#### Problem description
For times very close to ... | {
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import pandas as pd
import numpy as np
df = pd.DataFrame(index=[0],columns=['c'],dtype='datetime64[ns]')
df['c'].iloc[0] = np.datetime64('2018-08-01 00:00:00')
df['c'][df.index==0].values[0]
Out[83]: numpy.datetime64('2018-08-01T00:00:00.000000000')
df['c'].iloc[0]
Out[80]: Ti... | {
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"followers_url": "https://api.github... | 44 | 2018-12-11T15:21:55Z | 2018-12-28T20:03:25Z | 2018-12-28T18:20:57Z | CONTRIBUTOR | null | Adds a NumPyBckedExtensionArray, a thin wrapper around ndarray implementing
the EA interface.
We use this to ensure that `Series.array -> ExtensionArray`, rather than
a `Union[ndarray, ExtensionArray]`.
xref #23995
---
cc @jreback @jorisvandenbossche @shoyer.
Some idle thoughts:
1. I'm not sure whe... | {
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I am interested in using Pandas as a numexpr replacement, since its eval/query syntax is much cleaner. However, it doesn't quite work for me, since I rely on byte ndarrays, and I want to avoid DataFrames. Here is an example script that shows the problems I had, and how they are solved in a patched version. I am... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24229/events | https://github.com/pandas-dev/pandas/issues/24229 | 389,843,998 | MDU6SXNzdWUzODk4NDM5OTg= | 24,229 | Treating an empty value in Excel as `nan` has another side effect: integer will be converted to float. Subsequent operation on that columns will have other effects again. | {
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I have an Excel file `temp.xlsx` with the following data:
```
Key1,Key2,Key3,Key4
0,11, Apple ,1.12
1,12,,1.02
2,13, Orange,
3,, Banana ,0.01
```
This is the code:
```Python
import numpy as np
import pand... | {
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follow-on from #24013
This pass replaces imports from tests/resample/test_base.py with fixtures and only parametrizes tests where necessary to accomplish this.
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https://api.github.com/repos/pandas-dev/pandas/issues/24231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24231/events | https://github.com/pandas-dev/pandas/issues/24231 | 389,854,843 | MDU6SXNzdWUzODk4NTQ4NDM= | 24,231 | Rename DatetimeArrayMixin / TimedeltaArrayMixin | {
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"followers_url": "https://api.github... | 2 | 2018-12-11T16:45:53Z | 2019-01-03T21:06:25Z | 2019-01-03T21:06:25Z | CONTRIBUTOR | null | To `DatetimeArray` and `TimedeltaArray`.
Just so we don't forget this before the release :) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24232/events | https://github.com/pandas-dev/pandas/pull/24232 | 389,858,408 | MDExOlB1bGxSZXF1ZXN0MjM3NzUzNTQw | 24,232 | DOC: add back currentmodule to api.rst | {
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@datapythonista I don't understand why, but the `.. currentmodule:: pandas` does not seem to be picked up from `header.rst`, giving extra warnings and missing links (because in api.rst, everything up to the first inline `currentmodule`, is not found)
See eg htt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24233/events | https://github.com/pandas-dev/pandas/issues/24233 | 389,873,993 | MDU6SXNzdWUzODk4NzM5OTM= | 24,233 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.18.*.rst | {
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"followers_url": "https://api.github... | 2 | 2018-12-11T17:31:27Z | 2018-12-18T12:39:47Z | 2018-12-18T12:39:47Z | CONTRIBUTOR | null | xref: #24177
We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24234/events | https://github.com/pandas-dev/pandas/pull/24234 | 389,875,623 | MDExOlB1bGxSZXF1ZXN0MjM3NzY3MTI2 | 24,234 | CI: Not forcing imports to be sorted alphabetically | {
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I'm +1 on enforcing PEP8 and sorting im... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24235/events | https://github.com/pandas-dev/pandas/issues/24235 | 389,878,574 | MDU6SXNzdWUzODk4Nzg1NzQ= | 24,235 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.17.*.rst | {
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We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
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https://api.github.com/repos/pandas-dev/pandas/issues/24236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24236/events | https://github.com/pandas-dev/pandas/pull/24236 | 389,880,042 | MDExOlB1bGxSZXF1ZXN0MjM3NzcwNTgy | 24,236 | Fix flake8 issues on v19, v20 and v21.0.rst | {
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"followers_url": "https://api.github... | 3 | 2018-12-11T17:47:16Z | 2019-01-02T20:26:09Z | 2018-12-13T02:00:03Z | CONTRIBUTOR | null | closes #24219
closes #24220
closes #24222
- [x] run `python make.py --single whatsnew/v0.19.0`, `python make.py --single whatsnew/v0.20.0` etc.
Related to: #24177
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https://api.github.com/repos/pandas-dev/pandas/issues/24237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24237/events | https://github.com/pandas-dev/pandas/issues/24237 | 389,881,582 | MDU6SXNzdWUzODk4ODE1ODI= | 24,237 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.16.*.rst | {
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"followers_url": "https://api.github... | 1 | 2018-12-11T17:51:22Z | 2018-12-18T18:32:04Z | 2018-12-18T18:32:04Z | CONTRIBUTOR | null | xref: #24177
We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
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https://api.github.com/repos/pandas-dev/pandas/issues/24238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24238/events | https://github.com/pandas-dev/pandas/pull/24238 | 389,891,131 | MDExOlB1bGxSZXF1ZXN0MjM3Nzc5MTMx | 24,238 | DOC: avoid warnings ipython 'Code input with no code' | {
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```
/home/travis/miniconda3/envs/pandas-dev/lib/python3.6/site-packages/IPython/sphinxext/ipython_directive.py:1020: UserWarning: Code input with no code at /home/travis/build/pandas-dev/pandas/doc/source/whatsnew/v0.24.0.rst, line... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24239/events | https://github.com/pandas-dev/pandas/issues/24239 | 389,891,280 | MDU6SXNzdWUzODk4OTEyODA= | 24,239 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.15.*.rst | {
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We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
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https://api.github.com/repos/pandas-dev/pandas/issues/24240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24240/events | https://github.com/pandas-dev/pandas/issues/24240 | 389,895,366 | MDU6SXNzdWUzODk4OTUzNjY= | 24,240 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.14.*.rst | {
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"followers_url": "https://api.github... | 2 | 2018-12-11T18:27:59Z | 2018-12-14T13:54:40Z | 2018-12-14T13:54:40Z | CONTRIBUTOR | null | xref: #24177
We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24241 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24241/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24241/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24241/events | https://github.com/pandas-dev/pandas/issues/24241 | 389,919,105 | MDU6SXNzdWUzODk5MTkxMDU= | 24,241 | Series.apply on categorical with NaN has wrong behavior | {
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"color": "e11d21"... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 0 | 2018-12-11T19:31:41Z | 2018-12-20T14:25:06Z | 2018-12-20T14:25:06Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
>>> print(pd.isna(pd.Series(['A', 'B', pd.np.nan], dtype='category')))
0 False
1 False
2 True
dtype: bool
>>> print(pd.Series(['A', 'B', pd.np.nan], dtype='category').apply(pd.isna))
0 False
1 False
2 False
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24242 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24242/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24242/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24242/events | https://github.com/pandas-dev/pandas/issues/24242 | 389,944,988 | MDU6SXNzdWUzODk5NDQ5ODg= | 24,242 | TST: Hypothesis may draw a date outside of date_range's range | {
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"followers_url": "https://api.github... | 3 | 2018-12-11T20:42:35Z | 2018-12-16T19:56:16Z | 2018-12-16T19:56:16Z | CONTRIBUTOR | null | I've had an error with hypothesis when running. The bug can be reproduced (I think?, I've not used hypothesis before, so maybe this hash is machine-dependent) by doing this ```pytest pandas/tests/frame/test_apply.py::TestDataFrameAggregate::test_frequency_is_original --hypothesis-seed=316520601087970019200180394352582... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24243 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24243/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24243/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24243/events | https://github.com/pandas-dev/pandas/pull/24243 | 389,971,600 | MDExOlB1bGxSZXF1ZXN0MjM3ODQxMzU4 | 24,243 | DOC: Fix quotes position in Timestamp and Timedelta | {
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- works on #24070
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https://api.github.com/repos/pandas-dev/pandas/issues/24244 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24244/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24244/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24244/events | https://github.com/pandas-dev/pandas/issues/24244 | 389,988,940 | MDU6SXNzdWUzODk5ODg5NDA= | 24,244 | [Feature Request] Add name attribute to pd.DataFrame | {
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```python
# Your code here
pd.DataFrame(data, index=sample_labels, columns=iris_features, name="iris")
```
Please let me know if this is out of scope. I think it could be a useful feature to have since `pd.Index`, `pd.Series`, `xr.DataArrays`, and `xr.Datase... | {
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The default implementation could just recommend to start with
```
if return_inverse:
raise NotImpleme... | {
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"description": "Unexpect... | open | false | null | [] | null | 4 | 2018-12-12T08:20:16Z | 2021-06-25T03:29:29Z | null | CONTRIBUTOR | null | I'm preparing a PR that addresses the short-comings of `core.dtypes.cast.maybe_promote` uncovered in #23982, and there's currently only a branch in there along the following lines:
```
def maybe_promote(dtype, fill_value)
[...]
elif is_extension_array_dtype(dtype) and isna(fill_value):
fill_val... | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.rand(6))
df['index_1'] = [3, 3, 2, 2, 1, 1]
df['index_2'] = [2, 1, 2, 1, 2, 1]
df = df.set_index(['index_1', 'index_2'])
print(df)
print(df.sort_index(level='index_1', sort_remaining=False))
print(df.so... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24248 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24248/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24248/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24248/events | https://github.com/pandas-dev/pandas/issues/24248 | 390,170,525 | MDU6SXNzdWUzOTAxNzA1MjU= | 24,248 | DatetimeIndex.take() fails if index has more than max int rows | {
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"description": "Non-arithmetic algos: va... | open | false | null | [] | null | 3 | 2018-12-12T10:55:05Z | 2020-10-16T23:14:06Z | null | NONE | null | ```
>>> index = pd.DatetimeIndex(np.empty(2**31))
>>> index.take([1, 2, 5, 6])
File "/pandas/core/indexes/datetimelike.py", line 529, in take
maybe_slice = lib.maybe_indices_to_slice(indices, len(self))
File "pandas/_libs/lib.pyx", line 351, in pandas._libs.lib.maybe_indices_to_slice
OverflowError: value ... | {
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```python
>>> import pandas as pd
>>> data = pd.read_json('[{"id":"111111111111111111"}]')
>>> print(data)
id
0 111111111111111104
```
#### Problem description
The `read_json` method erroneously parses big integers represented as str... | {
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] | closed | false | null | [] | null | 2 | 2018-12-12T15:26:57Z | 2018-12-12T16:03:41Z | 2018-12-12T15:30:06Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.read_excel("../../Desktop/Book1.xlsx")
idx = df['a'] > 0
df.loc[idx, "d"] = "ddd"
```
#### Problem description
Recreate the problem:
1. Create a dataframe from reading an Excel file with only field names but no data populated, e.g.
<img ... | {
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```python
import pandas as pd
import numpy as np
my_df = pd.DataFrame({'DOG#3M': {'1/1/1999': 0.04825, '1/4/1999': 0.0476, '1/5/1999': 0.0474, '1/6/1999': 0.0476, '1/7/1999': 0.0474},
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```python
>>> date = pd.Timestamp.max.floor("D").to_pydatetime().date() # datetime.date(2262, 4, 11)
>>> freq = 'B'
>>> pd.date_range(date, periods=1, freq=freq)
OverflowError: int too big to convert
>>> freq = 'D'
>>> pd.date_range(date, periods=1, freq=f... | {
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just copying the upstream fix
https://github.com/esnme/ultrajson/commit/ab8f41954a282c67acda7f07a670bb953b98b7c9
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Fixing this turned out to be a small beast. The overflows of interest fall into three categories. First: overflows when computing `periods * stride` that ATM are _not_ caught,... | {
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We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setu... | {
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We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setu... | {
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We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24259/events | https://github.com/pandas-dev/pandas/issues/24259 | 390,502,972 | MDU6SXNzdWUzOTA1MDI5NzI= | 24,259 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.10.*.rst | {
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"followers_url": "https://api.github... | 1 | 2018-12-13T03:29:11Z | 2018-12-14T19:31:43Z | 2018-12-14T19:31:43Z | CONTRIBUTOR | null | xref: #24177
We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24260/events | https://github.com/pandas-dev/pandas/issues/24260 | 390,504,113 | MDU6SXNzdWUzOTA1MDQxMTM= | 24,260 | DOC: Fix flake8 issues in doc/source/whatsnew/v0.9.*.rst, v0.8.*.rst & v0.7.*.rst, | {
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"followers_url": "https://api.github... | 3 | 2018-12-13T03:35:47Z | 2018-12-14T20:33:54Z | 2018-12-14T20:33:54Z | CONTRIBUTOR | null | xref: #24177
We didn't start validating the format of PEP8 and other code standards in the documentation examples until recently. We still have some files with errors, that we need to skip, and that we should fix, so we can start validating them.
**Two steps are required to replicate the issue**
1. Edit `setu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24261/events | https://github.com/pandas-dev/pandas/issues/24261 | 390,507,086 | MDU6SXNzdWUzOTA1MDcwODY= | 24,261 | Add ExtensionArray._scalar_from_string | {
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"description": "Extendin... | open | false | null | [] | null | 3 | 2018-12-13T03:51:55Z | 2021-06-25T03:43:46Z | null | CONTRIBUTOR | null | the DatetimeArray PR is adding a `_scalar_from_string` for the datelike arrays. We could consider something similar for the EA interface.
```python
In [6]: pd.core.arrays.DatetimeArrayMixin(np.array([], dtype='i8'))._scalar_from_string("2000")
Out[6]: Timestamp('2000-01-01 00:00:00')
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24262/events | https://github.com/pandas-dev/pandas/issues/24262 | 390,552,742 | MDU6SXNzdWUzOTA1NTI3NDI= | 24,262 | df(condition).any() is True returns False even when condition satisfies | {
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```python
def test_1():
x = pd.Series([1,2,3,4,5,6,7,8,9,10])
x = pd.Series()
if (x > 5).any() is True:
return True
else:
return False
def test_2():
x = pd.Series([1,2,3,4,5,6,7,8,9,10])
x = pd.Series()
if... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24263/events | https://github.com/pandas-dev/pandas/issues/24263 | 390,552,858 | MDU6SXNzdWUzOTA1NTI4NTg= | 24,263 | BUG: MultiIndex.get_loc errors if get_loc on level returns a slice | {
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With the dev version of pandas:
```
In [1]: import pandas as pd
In [2]: index = pd.date_range('2001-01-01', periods=100)
In [3]: mindex = pd.MultiIndex.from_arrays([index])
In [4]: mindex.get_loc('2001-01')
--------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24264/events | https://github.com/pandas-dev/pandas/issues/24264 | 390,563,555 | MDU6SXNzdWUzOTA1NjM1NTU= | 24,264 | Argument order not maintained on some Linux distribution | {
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When initial a dataframe with below code.
```
pd.DataFrame(
{'device': result[0], 'time': result[1], 'power': result[2]})
```
#### Problem description
On
`Linux 4.15.0-42-generic #45~16.04.1-Ubuntu SMP Mon Nov 19 13:02:27 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux` Ubuntu 16.04 64... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24265/events | https://github.com/pandas-dev/pandas/issues/24265 | 390,655,834 | MDU6SXNzdWUzOTA2NTU4MzQ= | 24,265 | Series.max incorrect for skipna=False with missing datetime64[ns] data. | {
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"followers_url": "https://api.github... | 0 | 2018-12-13T12:25:19Z | 2018-12-29T14:26:20Z | 2018-12-29T14:26:20Z | CONTRIBUTOR | null | ```python
In [2]: s = pd.Series([1, None, 3], dtype='datetime64[ns]')
In [3]: s.max(skipna=False)
Out[3]: Timestamp('1970-01-01 00:00:00.000000003')
```
That should be `NaT`.
We get `min` correct, but think just because iNaT is already the min.
Probably affects datetimetz / timedelta as well. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24266/events | https://github.com/pandas-dev/pandas/pull/24266 | 390,670,303 | MDExOlB1bGxSZXF1ZXN0MjM4MzgyODY0 | 24,266 | EHN: Add filename to FileNotFoundError | {
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"followers_url": "https://api.github... | 7 | 2018-12-13T13:05:38Z | 2019-01-07T09:39:31Z | 2019-01-05T22:02:42Z | CONTRIBUTOR | null | When pandas raises a `FileNotFoundError`, it was not setting the [`filename`](https://docs.python.org/3/library/exceptions.html#OSError.filename) component.
This adds in that feature as well a test for it. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24267/events | https://github.com/pandas-dev/pandas/issues/24267 | 390,670,702 | MDU6SXNzdWUzOTA2NzA3MDI= | 24,267 | Feature-Request: Allow lambda function with different columns in transform | {
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Currently, if you want to create a new column in a Pandas dataframe that is calculated with a custom function and involves multiple columns in the custom function, you have to create intermediate dataframes since `transform()` cannot work with multiple columns at once.
```python
import pan... | {
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... | 5 | 2018-12-13T13:08:34Z | 2019-03-05T03:07:08Z | 2019-03-05T03:07:08Z | NONE | null | I think the description of this method is incorrect. The effect of parameter "keep" says, if we pass "first" to it, means to take the first duplicate value, while we pass "last" to it, means to take the last duplicate value.
However, its real effect is to sort the duplicate values by their indexes.
Hope we put it rig... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24269/events | https://github.com/pandas-dev/pandas/issues/24269 | 390,696,778 | MDU6SXNzdWUzOTA2OTY3Nzg= | 24,269 | DataFrame.loc/iloc fails to update object with new dtype | {
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... | 3 | 2018-12-13T14:13:15Z | 2020-03-30T18:25:58Z | null | CONTRIBUTOR | null | Similar to https://github.com/pandas-dev/pandas/issues/4312 and https://github.com/pandas-dev/pandas/issues/5702, but this seems specific to object dtype -> new dytpe.
In this first case, we likely convert the whole block, even though we just wanted `A`.
```python
In [20]: df = pd.DataFrame({"A": [1, 2], "B": [3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24270/events | https://github.com/pandas-dev/pandas/issues/24270 | 390,716,733 | MDU6SXNzdWUzOTA3MTY3MzM= | 24,270 | SparseDataFrame loc raises InvalidIndexError when repeated keys are passed | {
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"description": "Related to indexing on s... | closed | false | null | [] | null | 0 | 2018-12-13T14:58:34Z | 2019-09-18T14:02:14Z | 2019-09-18T14:02:14Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
tmp = pd.SparseDataFrame([[0]*330]*447)
tmp.loc[[0]*61]
```
##### Traceback:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/vindex10/downloads/pand/pandas/pandas/core/base.py", line 77, in __repr__
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24271/events | https://github.com/pandas-dev/pandas/issues/24271 | 390,745,214 | MDU6SXNzdWUzOTA3NDUyMTQ= | 24,271 | sort_index not sorting when multi-index made by different categorical types | {
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This is the shorter code to reproduce the problem
```python
import pandas as pd
from pandas.api.types import CategoricalDtype
number_type = CategoricalDtype(['one', 'two', 'three', 'four', 'five'], ordered=True)
day_type = CategoricalDtype(['monday', 'tues... | {
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"followers_url": "https://api.github... | 4 | 2018-12-13T16:15:47Z | 2018-12-15T11:20:10Z | 2018-12-14T13:44:40Z | MEMBER | null | - [ n/a] xref #24040
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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in this PR:
- unskip `test_iloc_getitem_multiindex2`. difference in series name resolved. some tests were duplicated in `test_iloc_getitem_multiindex`
- `.ix` removed. ... | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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For extension builds, `distutils` targets the same macOS version as python was built for, even if the host system is newer. This can cause problems when building on a 10.9+ sys... | {
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- [X] tests added / passed
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Alters `Categorical.map` so that the mapper function is also applied to NaN values. The mentioned bug report brings up the example of calling `apply(pd.isna)` on a categorical s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24277/events | https://github.com/pandas-dev/pandas/pull/24277 | 390,997,342 | MDExOlB1bGxSZXF1ZXN0MjM4NjMzNTUw | 24,277 | DOC: Fix flake8 issues in whatsnew v10* and v11* | {
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closes #24259
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https://api.github.com/repos/pandas-dev/pandas/issues/24278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24278/events | https://github.com/pandas-dev/pandas/issues/24278 | 391,145,016 | MDU6SXNzdWUzOTExNDUwMTY= | 24,278 | Add an "extra info" section to the base ExtensionArray repr | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24279 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24279/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24279/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24279/events | https://github.com/pandas-dev/pandas/pull/24279 | 391,213,780 | MDExOlB1bGxSZXF1ZXN0MjM4ODAxODYw | 24,279 | Added extra info section to EA repr | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24280/events | https://github.com/pandas-dev/pandas/issues/24280 | 391,216,822 | MDU6SXNzdWUzOTEyMTY4MjI= | 24,280 | DOC: Fix docstrings with the sections in the wrong order | {
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```
pandas.Series.agg: Sections are in the wrong order. Correct order is: Parameters, Returns, See Also, Notes, Examples
pandas.Series.aggregate: Sections are in the wrong order. Correct order is: Parameters, Returns, See Als... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24281 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24281/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24281/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24281/events | https://github.com/pandas-dev/pandas/pull/24281 | 391,228,397 | MDExOlB1bGxSZXF1ZXN0MjM4ODEzMDky | 24,281 | DOC: Removing tailing whitespaces in .rst files | {
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"followers_url": "https://api.github... | 3 | 2018-12-14T19:01:10Z | 2018-12-14T19:44:05Z | 2018-12-14T19:44:02Z | MEMBER | null | - [ ] closes #xxxx
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In #24216 we will start linting formatting errors in `.rst` files. Removing all the tailing whitespaces here, so we don't mix the cleaning with the code in that PR. | {
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There are a handful of places where this decorator is applied but commented-out. This is the "WIP" part of things. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24283 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24283/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24283/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24283/events | https://github.com/pandas-dev/pandas/pull/24283 | 391,243,392 | MDExOlB1bGxSZXF1ZXN0MjM4ODI0NzI2 | 24,283 | CLN: standardize different freq message | {
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The remaining case to figure out is what to render for `other_freq` when dealing with an ndarray. Right now the placeholder is "FIXME". | {
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In preparation for hopefully deprecating SparseDataFrame / SparseSeries. Right now, I've just made this an API breaking change.
If we want to do this via deprecation, we'd need a new keyword argument to control the result type. I opted against that, because t... | {
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cc @jbrockmendel
There are a couple cases in `PeriodArray.__setitem__` that I didn't update, because `PeriodArray.__setitem__` is being remove entirely in #24024. | {
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@jreback I guess this makes sense. Not sure if there is any reason to exclude html or csv files, let me know if that's the case. | {
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How do i convert into numpy array without rounding off the values ! Thanks :) | {
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This is making the doc build fail, this PR adds it so the doc build works again.
CC: @jreback
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CC: @jreback
It has been tested here: https://travis-ci.org/pandas-dev/pandas/jobs/468243202 | {
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I think the only user-facing change (i.e. need for whatsnew) is that `Series[datetime64].mean()` now works.
I need to see if there are any more tests from #23890 ... | {
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... | closed | false | null | [] | null | 5 | 2018-12-15T08:38:13Z | 2019-02-27T23:55:11Z | 2019-02-27T23:55:10Z | CONTRIBUTOR | null | - [x] closes #24091
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
In Issue #24091 I detailed the root cause of the bug, and implemented the @toobaz suggestion.
I added a single line to test this case in the existing test, ran the full UT su... | {
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Say I have a time-series `ser`:
2017-12-29 14:44:00 69.90
2017-12-29 14:45:00 69.91
2017-12-29 14:46:00 69.87
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```python
pd.DataFrame({'amount': ['12', '15', '20', '22', '14', '14', '15', '27', '21', '18', '19', '18', '22', '33', '16', '18', '17', '23', '28', '13']})
``` | {
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@gfyoung if there is a subset of these that especially merit match kwargs, let me know. I'm not eager to manually go through all of them, but doing something systematic or manually doing a few I'd be up for. | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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when sorting the values no matter if it is ascending or descending.
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about tab-completion.
- [x] closes #24233
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I fixed almost every flake8 issues except one.
An issue about **tab-completion** and... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24304/events | https://github.com/pandas-dev/pandas/issues/24304 | 391,446,133 | MDU6SXNzdWUzOTE0NDYxMzM= | 24,304 | PERF: regression in time series plotting | {
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"followers_url": "https://api.github... | 1 | 2018-12-16T08:31:14Z | 2018-12-17T13:57:12Z | 2018-12-17T13:57:12Z | MEMBER | null | Opening a dedicated issue to not have this lost in https://github.com/pandas-dev/pandas/issues/18532.
Using the example from the benchmarks:
```
N = 2000
M = 5
idx = date_range('1/1/1975', periods=N)
df = DataFrame(np.random.randn(N, M), index=idx)
```
I get on master:
```
In [25]: %%timeit plt.clo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24305 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24305/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24305/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24305/events | https://github.com/pandas-dev/pandas/issues/24305 | 391,447,128 | MDU6SXNzdWUzOTE0NDcxMjg= | 24,305 | DOC/API: PeriodIndex sub/add with Integers: update docs or undo deprecation | {
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"followers_url": "https://api.github... | 2 | 2018-12-16T08:45:19Z | 2018-12-23T15:15:42Z | 2018-12-23T15:15:42Z | MEMBER | null | Creating an issue of my comment on the PR that deprecated PeriodIndex add/sub with integers (https://github.com/pandas-dev/pandas/pull/22535):
@jbrockmendel what was actually the rationale of deprecating it for Periods as well?
The issue that is closed by this (https://github.com/pandas-dev/pandas/issues/21939, cc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24306/events | https://github.com/pandas-dev/pandas/issues/24306 | 391,448,602 | MDU6SXNzdWUzOTE0NDg2MDI= | 24,306 | to_csv - allow to create folders. | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 7 | 2018-12-16T09:10:24Z | 2021-09-11T14:50:50Z | 2021-09-11T14:50:50Z | NONE | null | currently `to_csv ` will create a file if it does not exist. However it will not create a folder (nor sub-folders).
In this case it will raise
`IOError: [Errno 2] No such file or directory:`
The user must wrap his code in order for it to create a folder.
I'm not sure why the function behaves like this.. It wou... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24307/events | https://github.com/pandas-dev/pandas/pull/24307 | 391,460,164 | MDExOlB1bGxSZXF1ZXN0MjM4OTYxNzg2 | 24,307 | TST: Fix flakey hypothesis apply test | {
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"followers_url": "https://api.github... | 5 | 2018-12-16T11:57:05Z | 2018-12-17T03:52:11Z | 2018-12-16T19:56:16Z | CONTRIBUTOR | null | Follow up based on comments in #23849
- [x] closes #24242
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
@mroeschke mind reviewing?
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https://api.github.com/repos/pandas-dev/pandas/issues/24308 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24308/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24308/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24308/events | https://github.com/pandas-dev/pandas/pull/24308 | 391,467,141 | MDExOlB1bGxSZXF1ZXN0MjM4OTY2MDkw | 24,308 | PERF: Period plotting performance | {
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"followers_url": "https://api.github... | 5 | 2018-12-16T13:24:41Z | 2018-12-17T13:58:51Z | 2018-12-17T13:57:13Z | CONTRIBUTOR | null | Setup
```python
In [3]: N = 2000
...: M = 5
...: idx = date_range('1/1/1975', periods=N)
...: df = DataFrame(np.random.randn(N, M), index=idx)
```
0.23.4:
```python
In [3]: %time df.plot()
CPU times: user 274 ms, sys: 66.7 ms, total: 340 ms
Wall time: 377 ms
Out[3]: <matplotlib.axes._subplots... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24309 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24309/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24309/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24309/events | https://github.com/pandas-dev/pandas/pull/24309 | 391,480,947 | MDExOlB1bGxSZXF1ZXN0MjM4OTc0Nzc0 | 24,309 | DOC: flake8 fix for whatsnew v.0.12.* | {
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"followers_url": "https://api.github... | 3 | 2018-12-16T16:05:16Z | 2018-12-17T01:05:42Z | 2018-12-16T20:52:59Z | CONTRIBUTOR | null | - [x] closes #24257
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/24310 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24310/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24310/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24310/events | https://github.com/pandas-dev/pandas/issues/24310 | 391,498,520 | MDU6SXNzdWUzOTE0OTg1MjA= | 24,310 | BUG: Series.__repr__ crashing with tzlocal() | {
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"description": "__repr__ of pandas objec... | open | false | null | [] | null | 13 | 2018-12-16T19:44:39Z | 2020-04-05T01:19:51Z | null | CONTRIBUTOR | null | Encountered while writing tests for PR to #23833, where I wanted to use `tz_aware_fixture` for testing promotions of datetimes with tz. The following is an equivalent minimal example, but constructed directly.
```
>>> import pandas as pd
>>> from dateutil.tz import tzlocal
>>> from pandas.core.dtypes.dtypes impor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24311 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24311/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24311/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24311/events | https://github.com/pandas-dev/pandas/issues/24311 | 391,498,937 | MDU6SXNzdWUzOTE0OTg5Mzc= | 24,311 | rename should warn when column does not exist | {
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had no effect since columns `'1'` and `'12'` don't exist. There should be a warning when column does not exist. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24312 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24312/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24312/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24312/events | https://github.com/pandas-dev/pandas/issues/24312 | 391,509,617 | MDU6SXNzdWUzOTE1MDk2MTc= | 24,312 | Segmentation fault while loading csv into dataframe | {
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I get a segmentation fault while loading a dataframe from a CSV.
Source file: https://www.data.gouv.fr/s/resources/liste-des-marches-du-cias-de-la-communaute-dagglomeration-bar-le-duc-sud-meuse-2016/20170421-180850/Liste_marches_CIAS_2016_fournitures.csv
mydataframe = pd.read_csv(filename, sep=';', encodi... | {
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