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https://api.github.com/repos/pandas-dev/pandas/issues/27813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27813/events | https://github.com/pandas-dev/pandas/issues/27813 | 478,212,024 | MDU6SXNzdWU0NzgyMTIwMjQ= | 27,813 | BUG: Series.rename raises error on values accepted by Series constructor. | {
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```python
import pandas as pd
class MyIndexer:
pass
i1 = MyIndexer()
s = pd.Series([1, 2, 3], name=i1) # allowed
s.rename(i1) # raises error
```
The error stack trace is the following:
```python
Traceback (most recent call last):
File "test.py", line 8, in <module>
s.rename(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27814/events | https://github.com/pandas-dev/pandas/pull/27814 | 478,214,094 | MDExOlB1bGxSZXF1ZXN0MzA1Mzc5OTc0 | 27,814 | BUG: Series.rename raises error on values accepted by Series construc… | {
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"followers_url": "https://api.github.... | 5 | 2019-08-08T02:04:10Z | 2019-08-22T13:07:48Z | 2019-08-22T13:07:47Z | CONTRIBUTOR | null | - closes #27813 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27815/events | https://github.com/pandas-dev/pandas/pull/27815 | 478,230,033 | MDExOlB1bGxSZXF1ZXN0MzA1MzkyMDM3 | 27,815 | REF: implement should_extension_dispatch | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27816/events | https://github.com/pandas-dev/pandas/issues/27816 | 478,324,791 | MDU6SXNzdWU0NzgzMjQ3OTE= | 27,816 | DatetimeIndex shift freq ValueError | {
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```python
dt = pd.date_range('2017-01-01', '2020-01-01', name='date', freq='D')
df = pd.DataFrame(pd.np.random.rand(dt.shape[0]), index=dt)
df.shift(-1, freq=pd.DateOffset(years=1))
```
#### Problem description
This code raise `ValueError: Inferred freque... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27817/events | https://github.com/pandas-dev/pandas/issues/27817 | 478,350,789 | MDU6SXNzdWU0NzgzNTA3ODk= | 27,817 | Conversion from Arrow to datetime not working since pandas 0.22.0 | {
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```python
import arrow
import pandas as pd
date = arrow.Arrow(2019, 8, 8)
data = {'date': [date]}
df = pd.DataFrame(data)
df.astype('<M8[ns]')
```
#### Problem description
```
Traceback (most recent call last):
File "bug.py", line 7, in <module>
df.astype('<M8[ns]')
File "/l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27818/events | https://github.com/pandas-dev/pandas/pull/27818 | 478,366,743 | MDExOlB1bGxSZXF1ZXN0MzA1NDk3ODEz | 27,818 | COMPAT: restore shape for 'invalid' Index with nd array | {
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"followers_url": "https://api.github.... | 10 | 2019-08-08T09:54:09Z | 2019-08-09T07:56:16Z | 2019-08-09T07:36:58Z | MEMBER | null | closes #27775
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https://api.github.com/repos/pandas-dev/pandas/issues/27819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27819/events | https://github.com/pandas-dev/pandas/pull/27819 | 478,399,395 | MDExOlB1bGxSZXF1ZXN0MzA1NTIyNzc3 | 27,819 | Backport PR #27809 on branch 0.25.x (CI: remove pytest pins) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27820/events | https://github.com/pandas-dev/pandas/issues/27820 | 478,414,390 | MDU6SXNzdWU0Nzg0MTQzOTA= | 27,820 | DOC: clarify that read_parquet accepts a directory path | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27821/events | https://github.com/pandas-dev/pandas/issues/27821 | 478,575,522 | MDU6SXNzdWU0Nzg1NzU1MjI= | 27,821 | Document security vulnerability reporting mechanism | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2019-08-08T16:32:59Z | 2021-02-03T21:06:45Z | 2019-08-09T14:18:54Z | CONTRIBUTOR | null | Part of the tidelift setup. In https://github.com/numpy/numpy/issues/13475 / https://github.com/numpy/numpy/pull/13485, NumPy decided to just link to https://tidelift.com/docs/lifting/security. That should suffice to us.
Only thing to decide is who all gets notified with these reports. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27822/events | https://github.com/pandas-dev/pandas/pull/27822 | 478,583,527 | MDExOlB1bGxSZXF1ZXN0MzA1NjYzOTEy | 27,822 | Add security policy | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27823/events | https://github.com/pandas-dev/pandas/pull/27823 | 478,583,609 | MDExOlB1bGxSZXF1ZXN0MzA1NjYzOTcz | 27,823 | Add tidelift sponsor to FUNDING | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27824/events | https://github.com/pandas-dev/pandas/issues/27824 | 478,619,603 | MDU6SXNzdWU0Nzg2MTk2MDM= | 27,824 | Document DataFrame._constructor_sliced-like property in the public API? | {
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] | open | false | null | [] | null | 3 | 2019-08-08T18:18:38Z | 2021-07-10T19:30:32Z | null | CONTRIBUTOR | null | Can we document something like `DataFrame._constructor_sliced` as the public way to say that slicing a column from a pandas.DataFrame will return a pandas.Series object?
Projects like Dask would like to work with any concrete DataFrame library (cudf being the second major dataframe implementation). Right now we reso... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27825/events | https://github.com/pandas-dev/pandas/issues/27825 | 478,645,195 | MDU6SXNzdWU0Nzg2NDUxOTU= | 27,825 | Dispatch pd.is_na for scalar extension value | {
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"description": "np.nan, ... | open | false | null | [] | null | 6 | 2019-08-08T19:20:49Z | 2021-07-10T19:31:40Z | null | CONTRIBUTOR | null | Right now, I don't believe there's a way for an ExtensionDtype to declare a custom scalar NA value and have `pd.isna(scalar)` do the right thing.
<details>
```python
_nas = object()
class NaSType(str):
"""
NA for String type.
"""
# TODO: enforce singleton
def __new__(cls, value)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27826/events | https://github.com/pandas-dev/pandas/pull/27826 | 478,656,503 | MDExOlB1bGxSZXF1ZXN0MzA1NzIyOTI0 | 27,826 | BUG: Fix groupby quantile segfault | {
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Closes #27470 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27827/events | https://github.com/pandas-dev/pandas/pull/27827 | 478,675,701 | MDExOlB1bGxSZXF1ZXN0MzA1NzM4OTA4 | 27,827 | BUG: Fixed groupby quantile for listlike q | {
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Just a WIP right now. This is under tested for
- [ ] `groupby(sort=False)`
- [ ] non-sorted `q`
- [ ] `groupby(multiple levels)` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27828/events | https://github.com/pandas-dev/pandas/pull/27828 | 478,678,632 | MDExOlB1bGxSZXF1ZXN0MzA1NzQxMzY5 | 27,828 | Backport PR #27607 on branch 0.25.x (BUG: break reference cycle in Index._engine) | {
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```
if is_float_dtype(result):
mask |= (result == np.inf) | (result == -np.inf)
```
but in many cases, `mask` will be `self._mask`, so it gets altered inplace. The intuitive solution is to add a check for `mask is self._mask` and make a copy, but that turns ... | {
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- return NotImplemented when operating with DataFrame (instead of raising NotImplementError)
- raise ValueError when operating with mismatched-length listlike
Everything else is just rearranging to use patterns that are more standard around the codebase, leading up to #23853 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27831/events | https://github.com/pandas-dev/pandas/issues/27831 | 478,771,437 | MDU6SXNzdWU0Nzg3NzE0Mzc= | 27,831 | EA: DatetimelikeArray.view should always return EA | {
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] | closed | false | null | [] | null | 0 | 2019-08-09T02:55:59Z | 2019-12-28T16:59:27Z | 2019-12-28T16:59:27Z | MEMBER | null | ATM DatetimeArray/TimedeltaArray/PeriodArray `view` returns ndarray. xref #27633. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27832/events | https://github.com/pandas-dev/pandas/pull/27832 | 478,777,665 | MDExOlB1bGxSZXF1ZXN0MzA1ODIxMTQz | 27,832 | Add example for Series.str.slice() | {
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- [ X] closes #27802
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/27833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27833/events | https://github.com/pandas-dev/pandas/pull/27833 | 478,787,012 | MDExOlB1bGxSZXF1ZXN0MzA1ODI4MTI0 | 27,833 | Update sample() documentation | {
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- [ ] closes #xxxx
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https://api.github.com/repos/pandas-dev/pandas/issues/27834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27834/events | https://github.com/pandas-dev/pandas/pull/27834 | 478,790,639 | MDExOlB1bGxSZXF1ZXN0MzA1ODMxMDMw | 27,834 | DOC: Add examples to Series.str.slice() with negative arguments GH27802 | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [N/A] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27835/events | https://github.com/pandas-dev/pandas/issues/27835 | 478,842,558 | MDU6SXNzdWU0Nzg4NDI1NTg= | 27,835 | Performance regression after 0.24 on DataFrame.add/sub | {
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] | closed | false | null | [] | null | 1 | 2019-08-09T07:35:38Z | 2019-08-09T13:54:13Z | 2019-08-09T13:54:05Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
print(pd.__version__)
df = pd.DataFrame(1, index=range(1000), columns=range(1000))
%timeit df.sub(1);
%timeit df.sub(df.mean());
%timeit df - df.mean();
%timeit df.mean();
```
```
0.25.0
420 ms ± 6.46 ms per loop (mean ±... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27836/events | https://github.com/pandas-dev/pandas/pull/27836 | 478,843,275 | MDExOlB1bGxSZXF1ZXN0MzA1ODczMTQz | 27,836 | Backport PR #27818 on branch 0.25.x (COMPAT: restore shape for 'invalid' Index with nd array) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27837/events | https://github.com/pandas-dev/pandas/issues/27837 | 478,849,657 | MDU6SXNzdWU0Nzg4NDk2NTc= | 27,837 | API: what should a 2D indexing operation into a 1D Index do? (eg idx[:, None]) | {
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Short recap of what those issues were about:
Currently, indexing into an Index with a 2D (or multiple D) indexer results in an "invalid" Index with an underlying ndarray:
```
In [1]: idx = pd.In... | {
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```python
testingthisout.to_hdf('test.h5',key='testme')
Traceback (most recent call last):
File "<ipython-input-20-37a68cfcdb3c>", line 1, in <module>
testingthisout.to_hdf('test.h5',key='testme')
File "C:\Users\user-adm.BN-W-3015622\Anaco... | {
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"followers_url": "https://api.github.... | 3 | 2019-08-09T10:11:28Z | 2019-08-14T21:52:31Z | 2019-08-14T20:11:35Z | CONTRIBUTOR | null | - [x] xref #27585 & #27607
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Generalizes the test in #27607 to be used for all index types. This finds ref cycle issues for ``PeriodIndex`` and ``CategoricalIndex`` which... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27841/events | https://github.com/pandas-dev/pandas/issues/27841 | 478,921,539 | MDU6SXNzdWU0Nzg5MjE1Mzk= | 27,841 | ValueError when casting 1d data to MultiIndex column with incomplete labels and all data is object (wrong _is_consolidated output?) | {
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"followers_url": "https://api.github.... | 6 | 2019-08-09T10:40:51Z | 2019-08-13T01:04:21Z | 2019-08-13T01:04:21Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: datum = '1'
In [3]: df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27842/events | https://github.com/pandas-dev/pandas/issues/27842 | 478,932,048 | MDU6SXNzdWU0Nzg5MzIwNDg= | 27,842 | invoking pivot_table results in unwanted row | {
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below is the code:
```python
import pandas as pd
import numpy as np
dates = {
'animal': ['cat', 'cat', 'wolf'],
'color': ['white', 'black', 'black'],
'age': np.random.randint(15,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27843/events | https://github.com/pandas-dev/pandas/issues/27843 | 479,009,538 | MDU6SXNzdWU0NzkwMDk1Mzg= | 27,843 | CI: GBQ tests failing on master | {
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```
_________ TestToGBQIntegrationWithServiceAccountKeyPath.test_roundtrip _________
2328[gw0] linux -- Python 3.6.6 /home/travis/miniconda3/envs/pandas-dev/bin/python
2329
2330self = <pandas.tests.io.test_gbq.TestToGBQIntegrationWithServiceAccountKeyPath ob... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Update DOC to make it consistent with actual behavior | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27846 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27846/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27846/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27846/events | https://github.com/pandas-dev/pandas/pull/27846 | 479,130,981 | MDExOlB1bGxSZXF1ZXN0MzA2MTA3ODIy | 27,846 | BUG: boxplot does not work when data has datetime column | {
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```python
# extract certain part of the column names
df = pd.DataFrame({'a1': 1, 'b2':2, 'c3': 3}, index=[0])
df.columns = df.columns.str.extract(r'([0-9])')
df
# Out[]:
# (1,) (2,) (3,)
# 0 1 2 3
# Series object is returned inst... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27850/events | https://github.com/pandas-dev/pandas/issues/27850 | 479,218,196 | MDU6SXNzdWU0NzkyMTgxOTY= | 27,850 | read_excel throws XLRD error when used in a for loop but not when used outside of one. | {
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] | closed | false | null | [] | null | 2 | 2019-08-10T02:23:39Z | 2019-08-12T18:46:45Z | 2019-08-12T18:46:45Z | NONE | null | I have a folder full of excel files if I go
for i in range(0,len(os.listdir())):
x=pd.read_excel(os.listdir()[i])
I get an xlrd error that reads "Unsupported format, or corrupt file: Expected BOF record; found b'\x00\x00\x00\x01Bud1'"
but if I go
x=pd.read_excel(os.listdir()[0])
I don't get an err... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27851/events | https://github.com/pandas-dev/pandas/pull/27851 | 479,227,368 | MDExOlB1bGxSZXF1ZXN0MzA2MTg0NzE2 | 27,851 | DOC: Add CoC to the README | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27852/events | https://github.com/pandas-dev/pandas/pull/27852 | 479,229,202 | MDExOlB1bGxSZXF1ZXN0MzA2MTg2MDM2 | 27,852 | DOC:add append example in to_excel documentation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27853/events | https://github.com/pandas-dev/pandas/issues/27853 | 479,232,609 | MDU6SXNzdWU0NzkyMzI2MDk= | 27,853 | Error dividing Dataframe by Series but only when size is large enough | {
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```python
# This works fine
a = pd.DataFrame(np.random.randn(9999, 10))
b = a.divide(a.sum(axis=0), axis=1)
# This doesn't
a = pd.DataFrame(np.random.randn(10001, 10))
b = a.divide(a.sum(axis=0), axis=1)
# │AttributeError: 'numpy.dtype' object has no attribute 'value_counts'
```
#### ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27854 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27854/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27854/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27854/events | https://github.com/pandas-dev/pandas/issues/27854 | 479,243,454 | MDU6SXNzdWU0NzkyNDM0NTQ= | 27,854 | Pandas 0.25.0 - “ ImportError: cannot import name 'StringIO' ” - [removed pandas.compat.] | {
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```python
# import pandas_datareader
```
#### Problem description
Import error, probably because in version .25 pandas.compat. has been removed
#### Output
C:\PycharmProjects\Demo\venv\Scripts\python.exe C:/PycharmProjects/Demo/stock.py
Traceback (most recent call last):
File "C:/PycharmProjects/Demo/stock... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27855/events | https://github.com/pandas-dev/pandas/pull/27855 | 479,300,077 | MDExOlB1bGxSZXF1ZXN0MzA2MjM0NTEz | 27,855 | BUG: add back check for MultiIndex case and take_split_path | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27856/events | https://github.com/pandas-dev/pandas/issues/27856 | 479,357,589 | MDU6SXNzdWU0NzkzNTc1ODk= | 27,856 | CI fails? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27857/events | https://github.com/pandas-dev/pandas/issues/27857 | 479,377,495 | MDU6SXNzdWU0NzkzNzc0OTU= | 27,857 | Pandas groupby transform count gives empty dataframe | {
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Versions:
```
np.__version__, pd.__version__
('1.16.4', '0.24.2')
```
Code:
```python
import numpy as np
import pandas as pd
df = pd.DataFrame({'A': list(range(10))})
b = df.groupby('A').transform('count') # I was expecting all ones.
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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] | closed | false | null | [] | null | 2 | 2019-08-11T22:48:04Z | 2019-08-12T14:07:04Z | 2019-08-12T14:07:04Z | CONTRIBUTOR | null | Documentation says `Series.items()`, `Series.iteritems()` are equivalent to `DataFrame.items()` for DataFrames, but they're not. Instead, they are equivalent to `DataFrame.iterrows()`
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.items.html
https://pandas.pydata.org/pandas-docs/stable/r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27860/events | https://github.com/pandas-dev/pandas/issues/27860 | 479,423,548 | MDU6SXNzdWU0Nzk0MjM1NDg= | 27,860 | DOC: Use of "Yields" vs "Returns" for documentation of DataFrame.items() and DataFrame.iteritems() | {
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] | closed | false | null | [] | null | 5 | 2019-08-11T22:51:46Z | 2019-08-14T18:54:49Z | 2019-08-14T18:54:49Z | CONTRIBUTOR | null | `DataFrame.items()` says it "Yields" the label and content of the columns whereas `DataFrame.iteritems()` says it "Returns" the label and content of the columns
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.items.html
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27861/events | https://github.com/pandas-dev/pandas/issues/27861 | 479,424,828 | MDU6SXNzdWU0Nzk0MjQ4Mjg= | 27,861 | DOC: Standardize use of "Iterate" and "Iterator" in the documentation for DataFrame and Series iterators | {
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"Iterator over..."
while other iterators for `DataFrame` and `Series` say
"Iterate over..."
All of these methods return an iterator, so I think it would make sense to have them all say "Iterator over...", although the documentation for 4/6 of ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27862/events | https://github.com/pandas-dev/pandas/issues/27862 | 479,425,525 | MDU6SXNzdWU0Nzk0MjU1MjU= | 27,862 | DOC: See also for DataFrame.iterrows() should say Dataframe.x() instead of just .x() | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2019-08-11T23:14:43Z | 2019-08-13T07:57:33Z | 2019-08-13T07:57:20Z | CONTRIBUTOR | null | See also for DataFrame.iterrows() currently has a "See also" section that lists
```
itertuples
items
```
while DataFrame.itertuples() shows
```
DataFrame.iterrows
DataFrame.items
```
We should change DataFrame.iterrows() to be like DataFrame.itertuples()
https://pandas.pydata.org/pandas-docs/stable/referen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27863/events | https://github.com/pandas-dev/pandas/issues/27863 | 479,464,989 | MDU6SXNzdWU0Nzk0NjQ5ODk= | 27,863 | DataFrame Groupby Named Aggregation Using Lambda Results in a KeyError, Dict-of-Dicts Approach Works Fine | {
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```python
import numpy as np
import pandas as pd
data = [['tom', 10, 'blue', 1000, 'a'], ['nick', 15, 'blue', 2000, 'b'], ['julie', 14, 'green', 3000, 'a'], ['bob', 11, 'green', 4000, 'a'], ['cindy', 16, 'red', 5000, 'b']]
df = pd.DataFrame(data, columns = ['... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27864/events | https://github.com/pandas-dev/pandas/issues/27864 | 479,478,503 | MDU6SXNzdWU0Nzk0Nzg1MDM= | 27,864 | IntervalIndex | {
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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/27865 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27865/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27865/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27865/events | https://github.com/pandas-dev/pandas/issues/27865 | 479,497,944 | MDU6SXNzdWU0Nzk0OTc5NDQ= | 27,865 | Cannot use .ix in IntervaIndex('pandas._libs.interval.IntervalTree' object has no attribute 'get_value') | {
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"followers_url": "https://api.github.... | 3 | 2019-08-12T07:14:02Z | 2019-08-19T19:26:21Z | 2019-08-19T19:26:21Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
x = pd.Series([-2.801298, -2.882724, -3.007899, -2.704554, -3.398761, -2.805034, -2.87554, -2.805034, -2.886459, -2.471618])
y= pd.Series([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
init_cut = pd.qcut(x, 5, duplicates='drop')
retbin = pd.Series(init_cut.value... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27866/events | https://github.com/pandas-dev/pandas/pull/27866 | 479,618,694 | MDExOlB1bGxSZXF1ZXN0MzA2NDczODg5 | 27,866 | Added missing space to error description | {
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"followers_url": "https://api.github.... | 6 | 2019-08-12T13:41:42Z | 2019-08-15T18:18:43Z | 2019-08-15T18:18:43Z | CONTRIBUTOR | null | Seen in at least two builds: https://travis-ci.org/pandas-dev/pandas/jobs/570645656
```
$ ci/run_tests.sh
2333pytest -m "single and (not slow and not network)" -n 1 -s --strict --durations=10 --junitxml=test-data-single.xml pandas
2334ImportError while loading conftest '/home/travis/build/pandas-dev/pandas/pandas... | {
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"de... | closed | false | null | [] | null | 4 | 2019-08-12T15:39:59Z | 2019-10-07T00:15:11Z | 2019-08-15T13:42:18Z | CONTRIBUTOR | null | I found this behavior surprising:
```python
In [1]: pd.Series([1,2,3], dtype=np.uint8).unique()
Out[1]: array([1, 2, 3], dtype=uint64)
```
... because I did not expect a different dtype in the result. This PR adds a sentence to the docs to clarify this.
- [x] passes `black pandas`
- [x] passes `git diff ups... | {
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I've been thinking in more detail about the website, and I think it'll make things much simpler if we keep the pandas website and the documentation separate. My previous proposal was to unify everything, and use nginx rules to show the latest version (`master`) for pages that we want to show the latest ... | {
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closes #27861
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```python
In [1]: pd.Series([1,2,3], dtype=np.uint8).unique()
Out[1]: array([1, 2, 3], dtype=uint64)
```
This PR just casts the output array to match the input dtype. Superce... | {
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closes #27860 | {
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- [x] closes #27779
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```>>> quotes
time ticker bid ask
0 2016-05-25 13:30:00.023 GOOG 720.50 720.93
1 2016-05-25 13:30:00.023 MSFT 51.95 51.96
2 2016-05-25 13:30:00.030 MSFT 51.97 51.98
3 2016-05-25 13:30:00.041 MSFT 51.99 52.00
4 2016-05-25 ... | {
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- [x] closes #27575
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | fla... | {
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Unrelated cleanup in DataFrame.select_dtypes because I found it cumbersome. | {
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... | 1 | 2019-08-12T21:26:55Z | 2019-08-19T11:43:34Z | 2019-08-19T11:43:34Z | CONTRIBUTOR | null |
#### Problem description
I Think that needs to appear on that table because is not clearly documented
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```python
import pandas
```
#### Problem description
When importing pandas on fresh install of jupyterlab 1.0.4 via Anaconda, I'm receiving a unboundlocal error. I've never seen this happen before until pandas 0.2.5, so a bit confused on why this would be... | {
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DataFrame.items : Iterate over (column name, Series) pairs.
DataFrame.iterrows : Iterate over DataFrame rows as (index, Series) pairs.
No assertions about the equivalence of DataFrame.items and Series.items
closes #27859
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Also, remove an unnecessary values_from_object call and use operator.foo instead of `"__foo__"` in categorical ops. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27890 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27890/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27890/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27890/events | https://github.com/pandas-dev/pandas/pull/27890 | 479,922,712 | MDExOlB1bGxSZXF1ZXN0MzA2NzE3NzYy | 27,890 | BUG: fix Sparse reduction | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```python
In [1]: import pandas as pd
In [2]: pd.DataFrame({"A": ['a', 'b']}).groupby([0, 0]).quantile()
Out[2]:
Empty DataFrame
Columns: []
Index: []
```
In 0.25.0, we have
```python
In [3]: pd.DataFrame({"A": ['a', 'b']}).groupby([0, 0]).quantile()
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- [ ] tests added / passed
- [x] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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```python
# Your code here
pdf = pd.DataFrame({
'a': [1, 1, 1, 2, 2, 2, 3, 3, 3],
'b': [1, 2, 2, 2, 3, 3, 3, 4, 4]}, columns=['a', 'b'])
pdf.groupby(['a'])['b'].nlargest(1)
a
1 1 2
2 4 3
3 7 4
Name: b, dtype: int64
```
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/27897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27897/events | https://github.com/pandas-dev/pandas/issues/27897 | 480,017,857 | MDU6SXNzdWU0ODAwMTc4NTc= | 27,897 | DataFrame.groupby.fillna(method='bfill) not equal as DataFrame.groupby.bfill() | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2019-08-13T08:09:31Z | 2019-08-13T16:14:27Z | 2019-08-13T16:14:21Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({
'A': [1, 1, 2, 2],
'B': [2, 4, None, 3],
'C': [None, None, None, 1],
'D': [0, 1, 5, 4]
},
columns=['A', 'B', 'C', 'D'])
df.groupby(['A']).fillna(method='bfill')
B C D
0 2.0 NaN 0
1 4.... | {
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] | closed | false | null | [] | null | 2 | 2019-08-13T08:44:27Z | 2019-08-14T05:29:30Z | 2019-08-14T05:29:30Z | NONE | null | #### Code Sample, a copy-pastable example if possible
import pandas as pd
import numpy as np
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
csv1="multiple_responses.csv"
df1 = pd.read_csv(csv1, index_col='id' , na_values = [' '] , low_memor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27899/events | https://github.com/pandas-dev/pandas/pull/27899 | 480,108,865 | MDExOlB1bGxSZXF1ZXN0MzA2ODY3MzEx | 27,899 | EHN: Add encoding_errors option in pandas.DataFrame.to_csv (#27750) | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27900/events | https://github.com/pandas-dev/pandas/issues/27900 | 480,110,219 | MDU6SXNzdWU0ODAxMTAyMTk= | 27,900 | Tab completion triggers deprecation warnings with latest Jedi (0.15.1) | {
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"followers_url": "https://api.github.com/us... | 5 | 2019-08-13T11:43:16Z | 2019-09-20T12:43:53Z | 2019-09-20T12:43:53Z | MEMBER | null | I reported it at Jedi: https://github.com/davidhalter/jedi/issues/1383
But opening an issue here as well in case there are workarounds we need to do in pandas itself (last time we did do something: https://github.com/pandas-dev/pandas/pull/16414) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27901/events | https://github.com/pandas-dev/pandas/issues/27901 | 480,173,941 | MDU6SXNzdWU0ODAxNzM5NDE= | 27,901 | Move `.github` files to the organization level | {
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] | open | false | null | [] | null | 2 | 2019-08-13T14:00:21Z | 2020-04-03T03:55:30Z | null | CONTRIBUTOR | null | Described in https://help.github.com/en/articles/creating-a-default-community-health-file-for-your-organization, we can make a `.github` repo under pandas-dev. Then all the "community" files (code of conduct, funding, security, etc) will apply to every repo in the organization. This makes it clear that these policies a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27902/events | https://github.com/pandas-dev/pandas/issues/27902 | 480,177,739 | MDU6SXNzdWU0ODAxNzc3Mzk= | 27,902 | CI: master failing windows py37_np141 builds | {
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```python
================================== FAILURES ===================================
______________________________ test_apply[True] _______________________________
[gw1] win32 -- Python 3.7.4 C:\Miniconda\envs\pandas-dev\python.exe
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27903/events | https://github.com/pandas-dev/pandas/issues/27903 | 480,198,817 | MDU6SXNzdWU0ODAxOTg4MTc= | 27,903 | Standardize pandas distribution lists | {
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] | open | false | null | [] | null | 6 | 2019-08-13T14:45:09Z | 2021-07-10T19:36:44Z | null | MEMBER | null | As the project and the community grows, I think it'd be good to keep some consistency among the different channels to communicate. Currently we have:
- pydata@googlegroups.com (broader than pandas, but it's kind of our users list)
- pandas-dev@python.org
- pandas-core-team@googlegroups.com
- pydata/pandas on Gitter... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27904/events | https://github.com/pandas-dev/pandas/issues/27904 | 480,319,139 | MDU6SXNzdWU0ODAzMTkxMzk= | 27,904 | groupby nunique() with dates vs datetimes in presence of NaTs | {
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```python
import numpy as np
import pandas as pd
import datetime
df = pd.DataFrame({'a': ['x','x','x','x','x'], 'b': [datetime.date(2019,1,1), pd.NaT, datetime.date(2019,1,1), pd.NaT, datetime.date(2019,1,1)]})
print(df)
# unique() returns only 1 value (plus the NaT) as expected
print('... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27905/events | https://github.com/pandas-dev/pandas/issues/27905 | 480,335,872 | MDU6SXNzdWU0ODAzMzU4NzI= | 27,905 | Functions allowed in DataFrameGroupby.transform are not all tested | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2019-08-13T19:47:11Z | 2020-03-03T15:48:41Z | 2020-03-03T15:45:44Z | MEMBER | null | e.g. `fillna`, `tshift`and `corrwith` are all allowed in `group.transform()`, but looking at `pandas/tests/groupby/test_transform.py`, they are not tested. There are more, and I will add to here and make a PR to tests these cases. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27906/events | https://github.com/pandas-dev/pandas/pull/27906 | 480,368,012 | MDExOlB1bGxSZXF1ZXN0MzA3MDc4Mzkw | 27,906 | CI: Skip flaky test that fails Azure to make pipeline succeed | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27907/events | https://github.com/pandas-dev/pandas/pull/27907 | 480,375,675 | MDExOlB1bGxSZXF1ZXN0MzA3MDg0Njg2 | 27,907 | Revert 37 pins | {
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"followers_url": "https://api.github.... | 6 | 2019-08-13T21:23:55Z | 2019-08-14T19:46:11Z | 2019-08-14T19:34:11Z | CONTRIBUTOR | null | ~second commit is temporary.~
Closes #27907
cc @jjhelmus | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27908/events | https://github.com/pandas-dev/pandas/pull/27908 | 480,378,181 | MDExOlB1bGxSZXF1ZXN0MzA3MDg2Nzg2 | 27,908 | CLN: remove never-True checks in algorithms.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27909/events | https://github.com/pandas-dev/pandas/pull/27909 | 480,381,925 | MDExOlB1bGxSZXF1ZXN0MzA3MDg5OTUy | 27,909 | CLN: Catch more specific exceptions in groupby | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27910/events | https://github.com/pandas-dev/pandas/pull/27910 | 480,415,427 | MDExOlB1bGxSZXF1ZXN0MzA3MTE3MzU1 | 27,910 | CLN: missing boilerplate in Sparse op | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27911/events | https://github.com/pandas-dev/pandas/issues/27911 | 480,426,628 | MDU6SXNzdWU0ODA0MjY2Mjg= | 27,911 | API: when to cast list-like to ndarray, check len match | {
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In many arithmetic/comparison ops we do something like
```
if is_list_like(other) and not hasattr(other, "dtype"):
other = np.asarray(other)
if is_list_like(other) and len(other) != len(self):
raise ValueError("Lengths must match")
```
but we are not entirely consistent about this (... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27912/events | https://github.com/pandas-dev/pandas/pull/27912 | 480,432,360 | MDExOlB1bGxSZXF1ZXN0MzA3MTMwOTUy | 27,912 | REF: use should_extension_dispatch for comparison method | {
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