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https://api.github.com/repos/pandas-dev/pandas/issues/25113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25113/events | https://github.com/pandas-dev/pandas/issues/25113 | 406,095,603 | MDU6SXNzdWU0MDYwOTU2MDM= | 25,113 | Fix validation error type `SS02` and check in CI | {
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In order to have a continuous check by the CI on validation error `SS02` (Summary does not start with a capital letter), fixing them in the code base enables the addition to the CI for automated testing in the future.
`SS02` has just 61 occurrences (see [overview of the errors](https://gist... | {
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... | closed | false | null | [] | null | 8 | 2019-02-03T15:38:55Z | 2019-05-03T05:43:53Z | 2019-05-03T05:43:53Z | CONTRIBUTOR | null | - [x] closes #25011
- [x] tests added / passed
- [ x ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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This is supposed to solve issue #25011 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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- [ ] tests added / passed
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We want this script to return zero errors:
```
$ ./scripts/validate_docstrings.py --prefix=pandas.Time --errors=GL01,GL02
```
to add GL01 and GL02 to the continuous integration checks.
However the remaining errors are caused by docstrings that are inherited from dependencies. Specifical... | {
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Because DatetimeIndex and TimedeltaIndex intersections are similar, I have moved the intersection function of both classes up into Datetimelike after discussions with @reidy-p @... | {
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* outputs warning/error codes in the list of validations
* add `--list-errors` flag to list error codes / descriptions | {
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This is part of the sprint (3rd February). It removes the return variable name from the docstrings. | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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This PR is independent from #24984, and re-adds the ABC-classes in the instance-checks that was originally required in #22236 and then realised in #22486.
There's also some slight reshuffling due to redundant instance-checks, a... | {
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Closes #25107 | {
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```python
import pandas as pd
def func(row):
for col in row.keys():
row[col]=row[col]+1
return row
# func is applied twice , not expected
df = pd.DataFrame(data = [[0,0]],columns=['a','b'])
df.apply(func,axis=1)
print(df)
# func is a... | {
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"followers_url": "https://api.github.com/u... | 3 | 2019-02-04T03:00:06Z | 2019-03-11T16:12:17Z | 2019-03-11T16:12:17Z | NONE | null | I use the online docs quite a bit and am wondering what is the rationale for the new format of the Table of Contents. The new format nicely compresses the main TOC tree into reasonable starting groups, however it detrimentally removes a third level of the tree that is very useful for quickly identifying and navigating ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25132/events | https://github.com/pandas-dev/pandas/pull/25132 | 406,174,092 | MDExOlB1bGxSZXF1ZXN0MjQ5OTMyOTYy | 25,132 | Fix PR10 error and Clean up docstrings from functions related to RT05 errors | {
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- [ ] tests added / passed (`./scripts/validate_docstrings.py --errors=RT05`)
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/25133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25133/events | https://github.com/pandas-dev/pandas/pull/25133 | 406,195,691 | MDExOlB1bGxSZXF1ZXN0MjQ5OTQ4Nzcz | 25,133 | Fix validation error type `SS05` and check in CI | {
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- [ ] tests added / passed (`./scripts/validate_docstrings.py --errors=SS05`)
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/25134 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25134/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25134/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25134/events | https://github.com/pandas-dev/pandas/pull/25134 | 406,238,014 | MDExOlB1bGxSZXF1ZXN0MjQ5OTgwNzc4 | 25,134 | DOC: restore toctree maxdepth | {
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I used a `maxdepth` of 3 now, instead of the original 4.
Now, the problem is that this makes the toctree on the main page (the one in the actual page body, not the one in the left sidebar) again very long and not very usable ..
cc @datapythonista @neili0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25135/events | https://github.com/pandas-dev/pandas/issues/25135 | 406,281,399 | MDU6SXNzdWU0MDYyODEzOTk= | 25,135 | assert_*_equal issues | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2019-02-04T11:14:40Z | 2019-05-07T00:56:44Z | 2019-05-07T00:56:44Z | NONE | null | The function `assert_almost_equal` may return the return value of another functions like `assert_frame_equal` or `assert_series_equal`.
But `assert_frame_equal` does not return any value explicitly, hence it shall always return None.
Also, `assert_series_equal` may or may not return a value explicitly.
Are those a... | {
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Validation:
3 Errors found:
Parameters {axis} not documented
Parameter "other" has no description
Missing description for See Also "Series.rmul" reference
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https://api.github.com/repos/pandas-dev/pandas/issues/25137 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25137/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25137/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25137/events | https://github.com/pandas-dev/pandas/issues/25137 | 406,312,005 | MDU6SXNzdWU0MDYzMTIwMDU= | 25,137 | MultiIndex slicing with partial string match of datetimes fails | {
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#### Code Sample
```python
import pandas as pd
from itertools import cycle
dt_index = pd.date_range('1999-07', '1999-11')
sec_index = ['black', 'red', 'white']
items = []
for d, c in zip(dt_index, cycle(sec_index)):
items.appe... | {
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I don't sufficiently understand `pd.concat` and MultiIndex (yet!) to explain what is going on here, so I hope someone more knowledgeable can shed light on these curious symptoms:
#### Code Sample
```python
import pandas as pd
from numpy import nan
# Build s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25140/events | https://github.com/pandas-dev/pandas/pull/25140 | 406,320,702 | MDExOlB1bGxSZXF1ZXN0MjUwMDQ0MTA4 | 25,140 | Backport PR #25102 on branch 0.24.x (BUG: Fixing regression in DataFrame.all and DataFrame.any with bool_only=True) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25141/events | https://github.com/pandas-dev/pandas/pull/25141 | 406,360,137 | MDExOlB1bGxSZXF1ZXN0MjUwMDc1MDI3 | 25,141 | ENH: Added max_gap keyword for series.interpolate | {
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"color": "AD7FA8"... | closed | false | null | [] | null | 29 | 2019-02-04T14:41:41Z | 2020-07-29T20:45:02Z | 2020-07-29T20:45:01Z | CONTRIBUTOR | null | - [x] closes #12187 and #26796
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This PR introduces the new keyword `max_gap` for `interpolate`. For all NaN-gaps which are wider than `max_gap` no interpolation is carried out and all NaNs of the g... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25142/events | https://github.com/pandas-dev/pandas/pull/25142 | 406,363,713 | MDExOlB1bGxSZXF1ZXN0MjUwMDc3ODQ2 | 25,142 | COMPAT: alias .to_numpy() for scalars | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2019-02-04T14:49:31Z | 2019-02-16T17:38:26Z | 2019-02-16T17:38:21Z | CONTRIBUTOR | null | ``Timestamp`` and ``Timedelta`` scalars now implement `to_numpy()` as aliases to `Timestamp.to_datetime64` and `Timedelta.to_timedelta64`, respectively.
- [x] closes #24653
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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... | open | false | null | [] | null | 11 | 2019-02-04T14:52:39Z | 2021-09-05T04:24:22Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
Without errors='coerce'
```>>> import pandas as pd
>>> d = { 'ts': ['2019-02-02 08:07:13+00', '2019-02-02 08:03:22.54+00'] }
>>> df = pd.DataFrame(data=d)
>>> d
{'ts': ['2019-02-02 08:07:13+00', '2019-02-02 08:03:22.54+00']}
>>> df
... | {
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I'm upgrading pandas, and am now experiencing the "concat doesn't sort" warning. The problem is that the warning doesn't say where the issue that it's complaining about is, so it's impossible to take the action that it suggests.
The warning also doesn't mention that "append" is also affected.
Basically, I hav... | {
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"followers_url": "https://api.github.com/u... | 18 | 2019-02-04T17:32:06Z | 2019-03-12T01:33:50Z | 2019-02-06T02:43:25Z | CONTRIBUTOR | null | Not explicitly pinning the language level has been producing future
warnings from cython. The next release of cython is going to change
the default level to '3str' under which the pandas cython extensions
do not compile.
The long term solution is to update the cython files to the next
language level, but this is a st... | {
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This test does same benchmark but uses intNA instead of np.nan
Based on #24351
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Running this code :
` pd.DataFrame({'B': [1,20,400,1,1,1]}).ewm(span=2,min_periods=2,adjust=False).mean().values.flatten()`
I am getting
`array([ nan, 13.66666667, 271.22222222, 91.07407407... | {
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... | 2 | 2019-02-04T20:54:55Z | 2019-12-11T13:28:55Z | 2019-12-11T13:28:54Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
idx = pd.DatetimeIndex(start='2018-12-02 14:50:00-07:00', end='2018-12-03 03:11:00-07:00', freq='1min')
df = pd.DataFrame(np.random.randn(len(idx), 1), index=idx, columns=['A'])
df.index[0]
# Timestamp(... | {
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```
2019-02-04T18:50:51.0110372Z [ 11.57%] ··· frame_methods.Repr.time_html_repr_trunc_mi failed
2019-02-04T18:50:51.0110695Z [ 11.57%] ···· Traceback (most recent call last):
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https://api.github.com/repos/pandas-dev/pandas/issues/25151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25151/events | https://github.com/pandas-dev/pandas/issues/25151 | 406,543,055 | MDU6SXNzdWU0MDY1NDMwNTU= | 25,151 | Implement sort=True for Index setops | {
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... | 3 | 2019-02-04T22:12:27Z | 2021-11-11T00:11:33Z | null | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/pull/25063 made the 0.24.x `sort=True` behavior be enabled by `sort=None`. This allows us to use `sort=True` to mean "always sort".
So rather than raising
```pytb
In [1]: import pandas as pd
In [2]: idx = pd.Index([1, 0])
In [3]: idx.union(idx, sort=True)
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INCIDENT_DATE_TIME INCIDENT_DATE_TIME_1 2nd INCIDENT_DATE_TIME_1
01/01/2013 12:34:10 AM 2013-01-01 01:00:00 0
01/01/2013 12:38:51 AM 2013-01-01 01:00:00 0
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cc @tdamsma | {
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```python
import pandas as pd
df = pd.DataFrame(
pd.np.random.rand(2, 3),
columns=pd.MultiIndex.from_tuples([('a', 'foo'), ('b', 'bar'), ('b', pd.np.nan)], names=['first','second'])
)
# EXPECTED slicing everything on first level
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@jreback : following discussion with @jorisvandenbossche at europandas it was deemed undesirable to apply markers directly to tests in the base class since these tests can be used by downstream projects.
The main goal of this PR is to remove the duplication added in #24993. With the constraint... | {
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https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf
In Pandas_Cheat_Sheet/ Subset Variables (Columns)/ regex (Regular Expressions) Examples
#### ''^(?!Species$).*' Matches strings except the string 'Species'
The second ' in regex is unnecessary.
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] get rid of the errors in the code base
- [x] update the `code_check.sh` script to take into account the `PR04` type of errors | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25158/events | https://github.com/pandas-dev/pandas/issues/25158 | 406,849,956 | MDU6SXNzdWU0MDY4NDk5NTY= | 25,158 | Imputing values while joining dataframes | {
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"description": "np.nan, ... | closed | false | null | [] | null | 5 | 2019-02-05T15:55:14Z | 2021-06-26T04:42:44Z | 2021-06-26T04:42:44Z | NONE | null | ## description
Currently, as specified in the [documentation](http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.concat.html), the standard action for concatenations in case of missing columns is to fill them with a `NaN`:
```python
df3 = pd.DataFrame([['c', 3, 'cat'], ['d', 4, 'dog']],
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https://api.github.com/repos/pandas-dev/pandas/issues/25159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25159/events | https://github.com/pandas-dev/pandas/pull/25159 | 406,850,949 | MDExOlB1bGxSZXF1ZXN0MjUwNDU1Nzc2 | 25,159 | Get rid of MultiIndex conversion in IntervalIndex.is_unique | {
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"default"... | closed | false | null | [] | null | 10 | 2019-02-05T15:57:18Z | 2019-05-14T15:16:48Z | 2019-05-14T15:16:47Z | CONTRIBUTOR | null | - xref #24813
- passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Actually, this modification doesn't improve the performance. But the code is more explanatory.
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https://api.github.com/repos/pandas-dev/pandas/issues/25160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25160/events | https://github.com/pandas-dev/pandas/issues/25160 | 406,852,250 | MDU6SXNzdWU0MDY4NTIyNTA= | 25,160 | subplots=True automatic xlim considers nan values since 0.24 | {
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... | 4 | 2019-02-05T15:59:39Z | 2021-06-26T04:43:27Z | null | CONTRIBUTOR | null | #### Code Sample,:
```python
df = pd.DataFrame(np.random.rand(10, 2))
df.iloc[5:, 1] = np.nan
df.iloc[:5, 0] = np.nan
figs, axs = plt.subplots(2, 1)
df.plot.line(ax=axs, subplots=True, sharex=False)
```
#### Problem description
The code sample above produces two plots with different x-limits in pandas ve... | {
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```python
"Generate test dataframe"
case = 1
if case == 1:
start = '2018-11-26 16:17:43.510000'
else:
start = '2018-11-26 16:17:43.500000'
rng = pd.date_range(start, periods=10, freq='1S')
df = pd.DataFrame({'a':np.random.randn(len(rng)),'b':np.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25162/events | https://github.com/pandas-dev/pandas/issues/25162 | 406,901,935 | MDU6SXNzdWU0MDY5MDE5MzU= | 25,162 | DISC: Directory for code "upstream" from _libs | {
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] | closed | false | null | [] | null | 2 | 2019-02-05T17:50:56Z | 2019-06-13T04:13:30Z | 2019-06-13T04:13:30Z | MEMBER | null | Motivated in part by #24737, which is discussing vendoring `tzlocal` for use in `tslibs`.
A lot of effort has gone into making `_libs`, and in particular `tslibs`, self-contained within the pandas code base. This makes these parts of the code base much easier to reason about. It also makes it easier to test, profi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25163/events | https://github.com/pandas-dev/pandas/pull/25163 | 406,905,218 | MDExOlB1bGxSZXF1ZXN0MjUwNDk4Mjcy | 25,163 | DOC: Updates to Timestamp document | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25164 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25164/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25164/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25164/events | https://github.com/pandas-dev/pandas/pull/25164 | 406,925,732 | MDExOlB1bGxSZXF1ZXN0MjUwNTE0MTg5 | 25,164 | DOC: update file path descriptions in IO docstrings | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Validate Docstrings script output:
```
✔ python scripts/validate_docstrings.py pandas.io.parquet.read_parquet ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25165/events | https://github.com/pandas-dev/pandas/issues/25165 | 406,935,188 | MDU6SXNzdWU0MDY5MzUxODg= | 25,165 | Partial date string indexing doesn't work on MultiIndex | {
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```python
date_idx = pd.date_range('2019', periods=5, freq='MS')
df_single = pd.DataFrame(list(range(5)), index=date_idx)
df_multi = pd.DataFrame(list(range(15)),
index=pd.MultiIndex.from_product([date_idx, list(range(3))],
... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-02-05T19:42:12Z | 2019-02-05T20:47:15Z | 2019-02-05T20:31:17Z | NONE | null | While reading a CSV file, I try to get a list of column names via:
```
>>> df_attr = pd.read_csv("3BtTWMUQAMawXcCheUAOMlXU.csv", nrows=1)
>>> cols = list(df_attr)
>>> print (cols)
```
The o/p, i.e., the columns are:
```
['Response ID', 'Group Context', 'name', 'roh', 'sex', 'age', 'agemonth', 'ms', 'married_in_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25167 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25167/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25167/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25167/events | https://github.com/pandas-dev/pandas/issues/25167 | 406,949,458 | MDU6SXNzdWU0MDY5NDk0NTg= | 25,167 | Groupby with observed=True doesn't sort | {
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... | closed | false | null | [] | {
"closed_at": "2019-07-19T00:34:29Z",
"closed_issues": 1289,
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"followers_url": "https://api.github.com/users/j... | 1 | 2019-02-05T19:57:04Z | 2019-04-05T00:27:43Z | 2019-04-05T00:27:42Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> df = pd.DataFrame({'A': pd.Categorical(['b', 'a']), 'B': [1, 2]})
>>> df.groupby('A').sum() # ok
B
A
a 2
b 1
>>> df.groupby('A', observed=True).sum() # wrong sort order
B
A
b 1
a 2
```
#### Problem description
By default ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25168 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25168/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25168/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25168/events | https://github.com/pandas-dev/pandas/issues/25168 | 406,980,681 | MDU6SXNzdWU0MDY5ODA2ODE= | 25,168 | Very slow aggregation performance on object type column with Decimal datatype values | {
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"description": "Memory or execu... | open | false | null | [] | null | 6 | 2019-02-05T21:24:07Z | 2021-06-26T04:44:45Z | null | NONE | null | #### Problem description
I have a dataframe with a million row and 10 columns. I want to groupby on 3 columns and sum on 1 column. If the column to be aggregated is float it takes less than a second to get the result. But if the column is a object with Decimal datatype values it take 70 seconds to return the result. I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25169 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25169/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25169/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25169/events | https://github.com/pandas-dev/pandas/issues/25169 | 406,984,671 | MDU6SXNzdWU0MDY5ODQ2NzE= | 25,169 | Intersection of MultiIndexes reports incorrect lexsort_depth | {
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"description": null,... | open | false | null | [] | null | 2 | 2019-02-05T21:35:16Z | 2021-06-26T04:50:59Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: mi1 = pd.MultiIndex(levels=[['2018', 'a', 'c', 'e', 'num', 'oan', 'vol'],
...: [1970, '']],
...: codes=[[3, 6, 4, ],
...: [1, 1, 1]],
...: names=['variable', 'c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25170/events | https://github.com/pandas-dev/pandas/issues/25170 | 406,996,123 | MDU6SXNzdWU0MDY5OTYxMjM= | 25,170 | Error when read_json created by to_json with orient='table and index=False | {
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"followers_url": "https://api.github.com/u... | 1 | 2019-02-05T22:07:57Z | 2019-02-24T20:34:28Z | 2019-02-09T16:56:53Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
dfjson = df.to_json(orient='table', index=False)
result = pd.read_json(dfjson, orient='table')
```
#### Problem description
An error is raised while the original DataFrame should b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25171 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25171/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25171/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25171/events | https://github.com/pandas-dev/pandas/pull/25171 | 406,998,523 | MDExOlB1bGxSZXF1ZXN0MjUwNTcxNDY1 | 25,171 | BUG: Fix read_json orient='table' without index (#25170) | {
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"followers_url": "https://api.github.com/u... | 7 | 2019-02-05T22:15:13Z | 2019-03-11T19:16:48Z | 2019-02-09T16:56:53Z | CONTRIBUTOR | null | - [x] closes #25170
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"description": ... | closed | false | null | [] | null | 0 | 2019-02-05T22:31:09Z | 2019-03-10T21:08:25Z | 2019-03-10T21:08:25Z | CONTRIBUTOR | null | #### Problem description
In order to have a continuous check by the CI on validation error `GL03` (Double line break found; please use only one blank line to separate sections or paragraphs, and do not leave blank lines at the end of docstrings), fixing them in the code base enables the addition to the CI for automa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25173 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25173/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25173/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25173/events | https://github.com/pandas-dev/pandas/pull/25173 | 407,019,557 | MDExOlB1bGxSZXF1ZXN0MjUwNTg4MTI1 | 25,173 | BUG: fix sorting with observed=True in groupby | {
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... | closed | false | null | [] | null | 3 | 2019-02-05T23:27:00Z | 2019-03-19T03:51:14Z | 2019-03-19T03:51:14Z | CONTRIBUTOR | null | - [x] closes #25167
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Fix bug in #25167. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25174 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25174/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25174/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25174/events | https://github.com/pandas-dev/pandas/issues/25174 | 407,024,327 | MDU6SXNzdWU0MDcwMjQzMjc= | 25,174 | `concat` without `sort` in groupby.py code raises FutureWarning | {
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There are several calls to `concat` in `groupby.py` that do not pass the `sort` argument. This raises FutureWarning when the function is exectuted. For example:
```
pandas/core/groupby/groupby.py:1105: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version... | {
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] | closed | false | null | [] | null | 12 | 2019-02-06T01:25:35Z | 2019-09-17T18:55:24Z | 2019-03-17T20:29:17Z | MEMBER | null | As discussed in #25162. The idea from that issue would then be to move core.config to a location explicitly "upstream" from everything else in pandas. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25177 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25177/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25177/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25177/events | https://github.com/pandas-dev/pandas/issues/25177 | 407,047,244 | MDU6SXNzdWU0MDcwNDcyNDQ= | 25,177 | vectorized operations with pd.Series of pd.Interval data | {
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... | closed | false | null | [] | null | 3 | 2019-02-06T01:32:55Z | 2019-02-06T21:05:39Z | 2019-02-06T19:04:59Z | CONTRIBUTOR | null | Is there a plan to allow vectorized operations on pd.Series of pd.Interval data in the future -- perhaps just for the syntactic sugar?
* constructing the pd.Series of interval values
```python
df['range'] = pd.Interval(df['start'], df['end'])
# instead of
df['range'] = df.apply(lambda r: pd.Interval(r['start... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25178 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25178/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25178/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25178/events | https://github.com/pandas-dev/pandas/issues/25178 | 407,050,839 | MDU6SXNzdWU0MDcwNTA4Mzk= | 25,178 | Convention for same-directory imports | {
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] | closed | false | null | [] | null | 5 | 2019-02-06T01:51:32Z | 2019-06-11T14:30:39Z | 2019-06-11T14:30:39Z | MEMBER | null | In most places we use absolute imports, e.g. `from pandas.foo.bar import baz`. In a small number of places (the one I noticed being `core.dtypes.cast`, `core.dtypes.missing`), we use relative imports for same-directory imports (`from .common import foo, bar, baz`)
We should either get rid of these special cases, o... | {
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On `master`:
```python
In [1]: import numpy as np; import pandas as pd; pd.__version__
Out[1]: '0.25.0.dev0+67.gf04bb2fc9'
In [2]: pd.Series(['foo', 'bar', np.nan]).is_unique
Out[2]: False
In [3]: pd.Series([np.nan]).is_unique
Out[3]: False
```
Note ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25182/events | https://github.com/pandas-dev/pandas/pull/25182 | 407,060,587 | MDExOlB1bGxSZXF1ZXN0MjUwNjE5Mjcw | 25,182 | BUG: Fix Series.is_unique with single occurrence of NaN | {
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- [X] tests added / passed
- [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/25183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25183/events | https://github.com/pandas-dev/pandas/issues/25183 | 407,069,028 | MDU6SXNzdWU0MDcwNjkwMjg= | 25,183 | DataFrame.merge with empty frame and Int64 column gives object dtype | {
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```python
x = pd.DataFrame({
'date': pd.Series([pd.Timestamp('2018-01-01')]),
'value': pd.Series([1], dtype='Int64')
})
y = x[:0]
z = x.merge(y, on='date', how='left')
# z
date value_x value_y
0 2018-01-01 1 NaN
# z.dtype... | {
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```python
import pandas as pd
x_df = pd.DataFrame(columns=['a', 'b'])
series = x_df.duplicated(subset=['a'])
list(x_df[~series])
# Expected output on Pandas 0.23.4: ['a', 'b']
# But, Pandas 0.24.1 returns: []
```
#### Problem description
We have ... | {
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... | 3 | 2019-02-06T11:28:52Z | 2021-06-28T07:50:48Z | 2021-06-28T07:50:48Z | NONE | null | Following is the code I used to style the headers of both rows and columns and then saving the stylized data frame to an excel file.
```python
df = pd.DataFrame([1000000.0, 1000000.0], index=pd.bdate_range('2017-08-01', '2017-08-02'))
df.index = df.index.strftime("%Y-%m-%d")
styler = df.style
styler.set_table_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25186/events | https://github.com/pandas-dev/pandas/pull/25186 | 407,224,392 | MDExOlB1bGxSZXF1ZXN0MjUwNzQ1NTYx | 25,186 | fix MacPython pandas-wheels failure | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25187 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25187/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25187/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25187/events | https://github.com/pandas-dev/pandas/issues/25187 | 407,233,257 | MDU6SXNzdWU0MDcyMzMyNTc= | 25,187 | DOC: DataFrame.mask() uses df.where in the examples section | {
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"followers_url": "https://api.github.com/users/j... | 13 | 2019-02-06T14:51:19Z | 2019-04-28T17:32:16Z | 2019-04-28T17:32:16Z | CONTRIBUTOR | null | clarifies that the python string format is the only one supported
- [ ] closes #24788
- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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a small change to start. @jorisvandenbossche: do we have/need a master tracker/discussion issue for improving error messages?
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https://api.github.com/repos/pandas-dev/pandas/issues/25190 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25190/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25190/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25190/events | https://github.com/pandas-dev/pandas/issues/25190 | 407,308,861 | MDU6SXNzdWU0MDczMDg4NjE= | 25,190 | DataFrame.interpolate(axis='columns') throws exception while DataFrame.interpolate(axis=1) not | {
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"followers_url": "https://api.github.com/users/j... | 10 | 2019-02-06T16:06:32Z | 2020-05-12T13:30:48Z | 2020-05-12T13:30:48Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
x = np.linspace(0,100,1000)
y = np.sin(x)
df = pd.DataFrame(data=np.tile(y, (10,1)), index=np.arange(10), columns=x)
df.reindex(columns=x*1.005).interpolate(method='linear', axis=1)
df.reindex(columns=x*... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25191 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25191/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25191/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25191/events | https://github.com/pandas-dev/pandas/pull/25191 | 407,341,123 | MDExOlB1bGxSZXF1ZXN0MjUwODM3ODAy | 25,191 | REF: Remove many Panel tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25192 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25192/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25192/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25192/events | https://github.com/pandas-dev/pandas/pull/25192 | 407,357,570 | MDExOlB1bGxSZXF1ZXN0MjUwODUwNjkx | 25,192 | modernize compat imports | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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Easiest way to reproduce this is in a fresh docker container, as below
```bash
docker run --rm -it alpine:latest
$ apk update
$ apk add build-base python3 python3-dev py3-pip
$ pip3 install pandas
Collecting pandas
Downloading https://files.pythonhosted.or... | {
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In order to have a continuous check by the CI on validation error `SA05` (Reference name in `See Also` section does not need `pandas` prefix, use correct reference instead), fixing them in the code base enables the addition to the CI for automated testing in the future.
`SA05` has just 96 o... | {
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] | closed | false | null | [] | null | 5 | 2019-02-06T19:56:58Z | 2019-05-12T21:27:34Z | 2019-05-12T21:27:34Z | CONTRIBUTOR | null | - [x] closes #25148
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
***After***
```python
In [1]: import numpy as np
...: import pandas as pd
...:
...: idx = pd.date_range(start='2018-12-02 14:50:00-07:00', end='2018-12-03 03:11:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25196/events | https://github.com/pandas-dev/pandas/issues/25196 | 407,407,542 | MDU6SXNzdWU0MDc0MDc1NDI= | 25,196 | minimal DataFrame.apply call causes RecursionError | {
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"followers_url": "https://api.github.com/u... | 2 | 2019-02-06T20:04:36Z | 2019-02-09T16:54:10Z | 2019-02-09T16:54:10Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import numpy as np
import pandas as pd
df = pd.DataFrame(np.zeros((100, 15)))
df.T.apply(dict)
```
```
---------------------------------------------------------------------------
RecursionError Traceback (most recent... | {
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```
collected 47434 items / 2 errors / 778 deselected / 3 skipped ... | {
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- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
The `FloatArrayFormatter` leaves a space in front of the floats it formats (expected behaviour as demonstrated by [this test](https://github.com/pandas-dev/pandas/blob/638ddebaa7d... | {
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] | closed | false | null | [] | null | 3 | 2019-02-07T00:42:24Z | 2019-06-13T04:16:32Z | 2019-06-13T04:16:32Z | MEMBER | null | There are a handful of places where the dependency structure is _almost_ DAG-like. If these can be smoothed out, reasoning about the code can be made easier. I'll update this list as I encounter these places.
For reference, I'm treating as the "default" dependency structure that enforced by isort:
- `_libs`, 'e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25205/events | https://github.com/pandas-dev/pandas/issues/25205 | 407,542,281 | MDU6SXNzdWU0MDc1NDIyODE= | 25,205 | Docstring Validator Fails when 'integer' is valid argument | {
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... | 1 | 2019-02-07T04:58:40Z | 2019-02-10T00:59:03Z | null | MEMBER | null | There's at least one function where 'integer' is documented as an acceptable argument:
https://github.com/dsaxton/pandas/blob/120540448036a6eb64a80393f575bb31c38d8cc4/pandas/core/series.py#L1542
The docstring validator confuses this for a type then errors out by saying `integer` should be replaced with `int`
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https://api.github.com/repos/pandas-dev/pandas/issues/25206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25206/events | https://github.com/pandas-dev/pandas/pull/25206 | 407,572,933 | MDExOlB1bGxSZXF1ZXN0MjUxMDE2Nzcz | 25,206 | CLN: For loops, boolean conditions, misc. | {
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- Avoid multiple unnecessary loops
- Simplify boolean assignments
- Test error conditions first before proceeding
- Removed private, unused function
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https://api.github.com/repos/pandas-dev/pandas/issues/25207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25207/events | https://github.com/pandas-dev/pandas/issues/25207 | 407,609,954 | MDU6SXNzdWU0MDc2MDk5NTQ= | 25,207 | Version 0.24.1 fails to install on Alpine Linux | {
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I managed to reproduce the issue with the following `Dockerfile`:
```
FROM alpine:3.8
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https://api.github.com/repos/pandas-dev/pandas/issues/25208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25208/events | https://github.com/pandas-dev/pandas/pull/25208 | 407,614,342 | MDExOlB1bGxSZXF1ZXN0MjUxMDQ4NjE1 | 25,208 | DOC: Fix validation type error SA05 | {
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Closes #25194
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cc @datapythonista | {
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- [X] tests added
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry in 0.25.0
Modified `interpolate` function
https://github.com/pandas-dev/pandas/blob/5278cc6dc674c225c204532aeedca9df342f67c7/pandas/core/generic.py#L6785
### Fixes
- Checking axis ... | {
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```python
In [1]: import pandas as pd, numpy as np
# expected behaviour with ordinary dtype
In [2]: pd.Series([True, False], dtype=int)
Out[2]:
0 1
1 0
dtype: int64
# broken
In [3]: pd.Series([True, False], dtype=pd.Int64Dtype())
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"gists_url": "h... | [] | closed | false | null | [] | null | 3 | 2019-02-07T13:22:17Z | 2019-02-07T15:53:52Z | 2019-02-07T14:39:33Z | NONE | null | #### Problem description
It seems that the ``replace``method of pandas Timestamps cannot be called in a vectorized way.
It obliges us to use ``apply`` or ``np.vectorize``, which is not good for performances.
#### Example code (unit test)
```python
#!/usr/bin/env python3
import pandas as pd
import unitt... | {
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} | https://api.github.com/repos/pandas-dev/pandas/issues/25212/timeline | null | null | null |
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