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https://api.github.com/repos/pandas-dev/pandas/issues/27513 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27513/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27513/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27513/events | https://github.com/pandas-dev/pandas/pull/27513 | 470,861,872 | MDExOlB1bGxSZXF1ZXN0Mjk5NjkyMzQ3 | 27,513 | DOC: rewrite DataFrame.set_index docstring | {
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"id": 358182... | closed | false | null | [] | null | 4 | 2019-07-22T02:22:37Z | 2019-08-02T14:43:13Z | 2019-07-31T14:13:07Z | NONE | null | The docstring for DataFrame is a little confusing about the cases it supports. Explain the 3 cases:
1. specify a column to be used as new index labels
2. pass a like-length array of new index labels
3. pass a mixed list of either, each item becoming a levels of a MultiIndex.
and clarify the meaning of `append` in... | {
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] | open | false | null | [] | null | 2 | 2019-07-22T03:05:22Z | 2019-07-22T18:33:40Z | null | CONTRIBUTOR | null | I was playing around with a getting our docs runnable on binder today.
The tldr is that you can run them at https://mybinder.org/v2/gh/TomAugspurger/pandas-binder/master?filepath=build%2Fjupyter%2Fgetting_started%2F10min.ipynb
The source is at https://github.com/TomAugspurger/pandas-binder.
---
Overall, I t... | {
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] | closed | false | null | [] | null | 2 | 2019-07-22T08:15:14Z | 2021-07-10T18:41:17Z | 2021-07-10T18:41:17Z | NONE | null | ```
# note the , at the end of the line
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"followers_url": "https://api.github.... | 10 | 2019-07-22T10:50:58Z | 2019-08-05T06:40:49Z | 2019-08-04T21:54:57Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numpy as np
print(pd.__version__)
df_pass = pd.DataFrame(index=range(1,1000), columns=['A', 'B', 'C'])
df_pass.loc[:, :] = np.random.uniform(-100, 100, size=(len(df_pass.index), len(df_pass.columns)))
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... | 8 | 2019-07-22T12:58:00Z | 2021-11-05T16:20:59Z | 2021-07-10T18:41:51Z | CONTRIBUTOR | null | Right now, using `pd.option_context` to set the backend fails on `__exit__` when matplotlib isn't installed.
```python
In [1]: import pandas as pd
In [2]: with pd.option_context('plotting.backend', 'test'):
...: pass
...:
---------------------------------------------------------------------------
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I don't think we should recommend it there, especially without providing context that the complexity of DataFrame.append is very different from list.append. | {
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```python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({"A": [1, 2]})
In [3]: df.groupby([1, 1]).agg(foo=('A', lambda x: x.max()), bar=('A', lambda x: x.min()))
```
```
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- [x] closes #27518
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https://api.github.com/repos/pandas-dev/pandas/issues/27522 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27522/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27522/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27522/events | https://github.com/pandas-dev/pandas/issues/27522 | 471,168,284 | MDU6SXNzdWU0NzExNjgyODQ= | 27,522 | DEPR: pandas/core | {
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] | open | false | null | [] | null | 26 | 2019-07-22T16:13:35Z | 2021-06-11T13:35:46Z | null | CONTRIBUTOR | null | we have a documentation note that pandas.core is private but we need an actual deprecation
see discussion starting here: https://github.com/pandas-dev/pandas/issues/27471#issuecomment-513847689 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27523/events | https://github.com/pandas-dev/pandas/pull/27523 | 471,184,650 | MDExOlB1bGxSZXF1ZXN0Mjk5OTUwMTA1 | 27,523 | CLN: refactor roll_generic to call roll_generic_with_indexer | {
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] | closed | false | null | [] | null | 1 | 2019-07-22T16:43:56Z | 2019-08-02T14:45:53Z | 2019-07-26T14:54:36Z | NONE | null | Make it possible for users to directly supply their own indexer when pandas doesn't provide what they want out of the box. This is useful for quickly doing something like "groupby" with overlapping groups (xref #26959) and/or strided rolling. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27524/events | https://github.com/pandas-dev/pandas/issues/27524 | 471,263,665 | MDU6SXNzdWU0NzEyNjM2NjU= | 27,524 | Inconsistent SettingWithCopyError behaviour | {
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```python
import pandas as pd
if __name__ == '__main__':
pd.options.mode.chained_assignment = 'raise'
# two identical data frames
df1 = pd.DataFrame(data=[[1, 2], [3, 4]], columns=['c1', 'c2'])
df2 = pd.DataFrame(data=[[1, 2], [3, 4]], columns=['c1', ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27525/events | https://github.com/pandas-dev/pandas/pull/27525 | 471,285,537 | MDExOlB1bGxSZXF1ZXN0MzAwMDEzNDgy | 27,525 | DEPR: NDFrame.set_axis inplace defaults to false | {
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has been there since #20164, part of 0.21.0
With discussion of plans to deprecate similar functionality from set_index in #24046, it's time to make sure `set_axis` conforms to the rest of pandas i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27526/events | https://github.com/pandas-dev/pandas/issues/27526 | 471,367,450 | MDU6SXNzdWU0NzEzNjc0NTA= | 27,526 | Groupby Array-Type Quantiles Broken in 0.25.0 | {
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"closed_at": "2019-08-22T19:23:14Z",
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"followers_url": "https://api.github.... | 11 | 2019-07-22T22:28:47Z | 2020-04-23T22:29:47Z | 2019-08-22T11:28:37Z | NONE | null | #### Code Sample
```python
import pandas as pd
df = pd.DataFrame({
'category': ['A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B'],
'value': [1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6]
})
quantiles = df.groupby('category').quantile([0.25, 0.5, 0.75])
print(quantiles)
```
#### Problem description... | {
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Any is added in a separate commit in case we can't come to an agreement ;) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27528/events | https://github.com/pandas-dev/pandas/issues/27528 | 471,380,441 | MDU6SXNzdWU0NzEzODA0NDE= | 27,528 | read_csv() causes S3 ListObjectsV2 AccessDenied | {
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```python
import pandas as pd
import s3fs
file_1 = f"s3://my-bucket/foo.csv"
file_2 = f"s3://my-bucket/bar.csv"
fs = s3fs.S3FileSystem()
if fs.exists(file_2):
fs.rm(file_2)
# read file_1 which will be committed to the s3fs cache
df = pd.read_csv(file_1)
# copy existing file, path f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27529/events | https://github.com/pandas-dev/pandas/pull/27529 | 471,404,323 | MDExOlB1bGxSZXF1ZXN0MzAwMDc5Mjgx | 27,529 | BUG: Fix fields functions with readonly data, vaex#357 | {
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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/27530 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27530/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27530/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27530/events | https://github.com/pandas-dev/pandas/pull/27530 | 471,420,920 | MDExOlB1bGxSZXF1ZXN0MzAwMDg1NjQz | 27,530 | CLN: remove arrmap, closes #27251 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27531/events | https://github.com/pandas-dev/pandas/pull/27531 | 471,422,896 | MDExOlB1bGxSZXF1ZXN0MzAwMDg2MzI4 | 27,531 | CLN: simplify join take call | {
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This removes the dependency of this module on non-cython parts of the code | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27532/events | https://github.com/pandas-dev/pandas/issues/27532 | 471,441,107 | MDU6SXNzdWU0NzE0NDExMDc= | 27,532 | ModuleNotFoundError: No module named '_lzma' | {
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```python
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pandas
```
#### Problem description
Can't import last `pandas` release (0.25.0).
I've installed `pandas` using `pipenv`:
```
$ pipenv --three
$ pipenv shell
[pandas-lzma-error-bWkvw... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27537/events | https://github.com/pandas-dev/pandas/pull/27537 | 471,478,799 | MDExOlB1bGxSZXF1ZXN0MzAwMTIxOTA4 | 27,537 | TST: label-based indexing fails with certain list indexers in case of… | {
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- [ ] closes #14836
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] 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/27538 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27538/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27538/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27538/events | https://github.com/pandas-dev/pandas/pull/27538 | 471,523,534 | MDExOlB1bGxSZXF1ZXN0MzAwMTU2ODk3 | 27,538 | COMPAT: remove Categorical pickle compat with Pandas < 0.16 | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Removes Categorical pickle compat with Pandas < 0.16.
I've added a ``categorical.pickle`` file to replace the deprecated file. It was create like ... | {
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... | 4 | 2019-07-23T07:34:01Z | 2020-06-28T03:49:06Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
import numba
a = numba.typed.List()
a.append(1)
a.append(2)
pd.DataFrame(a)
```
raises with
```pytb
---------------------------------------------------------------------------
AttributeError ... | {
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```python
import pandas as pd
import numpy as np
index = list(range(1000))
df = pd.DataFrame(data=np.random.rand(1000,10), index = index)
df.head()
print("This is the memory usage before accessing the DataFrame:")
print(df.memory_usage(index=True))
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"followers_url": "https://api.github.... | 4 | 2019-07-23T12:36:26Z | 2019-07-23T19:01:01Z | 2019-07-23T19:01:01Z | CONTRIBUTOR | null | https://travis-ci.org/pandas-dev/pandas/builds/562549143
```
INTERNALERROR> Traceback (most recent call last):
INTERNALERROR> File "/home/travis/miniconda3/envs/pandas-dev/lib/python3.6/site-packages/_pytest/main.py", line 213, in wrap_session
INTERNALERROR> session.exitstatus = doit(config, session) or 0
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https://api.github.com/repos/pandas-dev/pandas/issues/27543 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27543/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27543/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27543/events | https://github.com/pandas-dev/pandas/issues/27543 | 471,813,958 | MDU6SXNzdWU0NzE4MTM5NTg= | 27,543 | panda 0.25.0 no module named _lzma | {
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import pandas as pd
File "/usr/local/lib/python3.6/site-packages/pandas/__init__.py", line 55, in <module>
from pandas.core.api import (
File "/usr/local/lib/python3.6/site-packages/pandas/core/api.py", line 24, in <module>
from pandas.core.groupby import Grouper, NamedAgg
File "/usr/local/lib/p... | {
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... | 8 | 2019-07-23T17:00:13Z | 2021-07-10T18:45:42Z | null | CONTRIBUTOR | null | we should use keyword only arguments for some of our functions that have large numbers of kwargs to make it harder to make mistakes in the calling conventions, a prime example is [read_csv](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html?highlight=read_csv#pandas.read_csv].
likely we ... | {
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"followers_url": "https://api.github.... | 2 | 2019-07-23T19:02:31Z | 2019-07-24T11:14:58Z | 2019-07-24T11:14:58Z | CONTRIBUTOR | null | https://github.com/pandas-dev/pandas/pull/27542 got CI passing again by removing matplotlib from a couple of the slow travis jobs.
We should verify that
1. We still have adequate matplotlib coverage (I think we do)
2. We can remove the pytest and pytest-xdist pins
Also monitor https://travis-ci.community/t/bu... | {
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"followers_url": "https://api.github.com/users/jorisva... | 14 | 2019-07-23T20:47:40Z | 2019-10-02T22:03:34Z | 2019-09-18T07:17:20Z | CONTRIBUTOR | null | #### Code Sample
```python
import pandas as pd
import adodbapi
conn = adodbapi.connect(r'Provider=Microsoft.ACE.OLEDB.12.0;Data Source=C:\Path\To\MS\Access\DB.accdb;')
df = pd.read_sql("SELECT TOP 10 * FROM myTable", conn)
print(df)
conn.close()
```
#### Problem description
Similar to this recent [... | {
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"followers_url": "https://api.github.... | 0 | 2019-07-23T21:05:57Z | 2019-07-24T11:42:10Z | 2019-07-24T11:42:10Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
ser = pd.Series([1.0, pd.np.nan, 2.0], index=pd.date_range(
start='20190101T0000', freq='1h', periods=3))
print(ser.interpolate(method='pad'))
print(ser.tz_localize('UTC').interpolate(method='pad')) # raises ValueError
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- [ x ] closes #27548
- [ 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/27550 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27550/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27550/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27550/events | https://github.com/pandas-dev/pandas/pull/27550 | 472,004,763 | MDExOlB1bGxSZXF1ZXN0MzAwNTAyMDg2 | 27,550 | Revert CI changes from 27542 | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Think this was all a perfect storm of temporary issues, so let's see what reverting yields.
Note: didn't revert the sudo tag removal on purpose | {
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This only moves array and extract_array to keep the diff contained. The next step would be to move internals.construction.sanitize_array, which is used in... | {
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```python
import pandas as pd
from pandas.errors import OptionError
# or from pandas import OptionError
option = ('noexist', 1)
try:
pd.set_option(*option)
except OptionError as e:
print('Ignore invaild option: {}'.format(option))
```
#### Problem description
`OptionError` is r... | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/27557 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27557/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27557/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27557/events | https://github.com/pandas-dev/pandas/issues/27557 | 472,170,125 | MDU6SXNzdWU0NzIxNzAxMjU= | 27,557 | Adhere to the standard for dropping Python versions | {
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"description": "Required and optional... | open | false | null | [] | null | 7 | 2019-07-24T09:16:20Z | 2021-11-10T17:59:44Z | null | MEMBER | null | Maintainers from several scientific Python projects are defining a standard to for all projects to drop support of old Python versions in a synchronized way. The standard is defined in this PR: https://github.com/numpy/numpy/pull/14086
I think pandas is already quite synchronized with the rest of the ecosystem, and ... | {
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"followers_url": "https://api.github.... | 21 | 2019-07-24T10:10:47Z | 2020-04-24T15:56:14Z | 2019-08-01T12:13:48Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
```
#### Problem description
Although it seems like a typing issue pandas is still affected, error:
```
root@ae9a5374fe6d:/buildbot# python -c "import pandas"
Traceback (most recent call last):
File "<string>", line 1, in <modu... | {
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```
pandas/core/generic.py: self._check_percentile(percentiles)
pandas/core/generic.py: def _check_percentile(self, q):
pandas/core/serie... | {
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- [~] closes #xxxx
- [~] tests added / passed
- [~] pa... | {
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```python
pd.set_option('display.max_columns', None)
df.head(30)
```
#### Problem description
Is there a way to repeat the headings (column titles) of a Pandas dataframe every n-th row in a Jupyter-lab notebook.
I normally use pd.set_option('display... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27567 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27567/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27567/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27567/events | https://github.com/pandas-dev/pandas/pull/27567 | 472,359,649 | MDExOlB1bGxSZXF1ZXN0MzAwNzg3MDky | 27,567 | CLN: remove block._coerce_values | {
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I'd like to clean up DatetimeTZBlock._try_coerce_result before getting this in. Part of that means pushing the handling down to the function being wrapped | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27568/events | https://github.com/pandas-dev/pandas/issues/27568 | 472,369,597 | MDU6SXNzdWU0NzIzNjk1OTc= | 27,568 | Enable --check-untyped-defs for MyPy | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27569 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27569/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27569/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27569/events | https://github.com/pandas-dev/pandas/pull/27569 | 472,382,605 | MDExOlB1bGxSZXF1ZXN0MzAwODAzNjU5 | 27,569 | CLN: update comment | {
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CI failure is unrelated network glitch. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27570 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27570/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27570/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27570/events | https://github.com/pandas-dev/pandas/issues/27570 | 472,389,707 | MDU6SXNzdWU0NzIzODk3MDc= | 27,570 | BUG: Grouper.cov emits warning unlike DataFrame.cov | {
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```python
import pandas as pd
df=pd.DataFrame(dict(a=[0,4,8],b=[2,7,12],c=[3,9,11]))
g=df.groupby([0,1,1])
# single row frame silently emits NaNs
df.i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27571 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27571/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27571/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27571/events | https://github.com/pandas-dev/pandas/issues/27571 | 472,390,515 | MDU6SXNzdWU0NzIzOTA1MTU= | 27,571 | BUG: dir(IntervalIndex()) raises | {
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In [8]: ix=pd.IntervalIndex.from_breaks([0,1,2])
...: dir(ix)
...
ValueError: cannot infer type for <class 'NoneType'>
```
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- [x] tests added / passed
Th... | {
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```shell
[dev]rbuhr:~% python
Python 3.7.2 (default, Jul 24 2019, 19:27:42)
[GCC 6.3.0 20170516] on linux
Type "help", "copyright", "credits" or "license" for more information.
```
```python
>>> import pandas
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
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The existing doc for `groupby().first()` (https://pandas-docs.github.io/pandas-docs-travis/reference/api/pandas.core.groupby.GroupBy.first.html?highlight=first#pandas.core.groupby.GroupBy.first) does not describe the behavior with respect to missing data. In particular, it does not mention t... | {
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Added minimum version for Python 3.5 is 3.5.3 and removed python 2.7 support info.
closes #27558
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```
pd.Series([1,2,3]).dt.day
#exists. But checks that series *values* datetime64[ns]
pd.Series([1,2,3]).day
# doesn't exist
```
There's a top-level method `df.first`:
```
Convenience method for subsetting initial periods of time s... | {
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Further, add parameter `prefix` with the same behavior as `suffix` but instead add this before the original label. | {
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"color": "e1... | open | false | null | [] | null | 2 | 2019-07-25T10:12:40Z | 2021-07-10T19:04:10Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df = pd.DataFrame({'a': [0.0], 'b': 0.0})
df[['a', 'b']] = 0
print(df)
print()
df['b'] = 0
print(df)
```
Output:
```
a b
0 0.0 0.0
a b
0 0.0 0
```
#### Problem description
As you can see... | {
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- Moved the _check_percentile method on NDFrame to algorithms as
check_percentile.
- Changed the references to _check_percentile in pandas/core/series.py
and pandas/core/frame.py
- [x] closes #27559
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -... | {
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"followers_url": "https://api.github.... | 1 | 2019-07-25T12:18:46Z | 2019-08-08T20:43:26Z | 2019-08-08T20:43:26Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import gc
import pandas as pd
gc.disable()
idx = pd.Int64Index(data=[0])
# trigger a call to idx._engine using public API, but a unit test might also be
# able to use the private API here
idx.is_monotonic_increasing
del idx
remaining_in... | {
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... | 6 | 2019-07-25T15:43:33Z | 2019-12-18T19:53:17Z | 2019-12-18T19:53:17Z | MEMBER | null | This function I think gets a good amount of usage but people tend to import from `pandas.io.json`. ref #27522 I think we should move this to the top level
cc @bhavaniravi | {
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https://github.com/numpy/numpy-stubs
Might be worth considering that as a development dependency. Certainly would lik... | {
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```python
import pandas as pd
l1 = list('abc')
l2 = [(0, 1), (1, 0)]
l3 = [0, 1]
cols = pd.MultiIndex.from_product([l1, l2, l3], names=['x', 'y', 'z'])
df = pd.DataFrame(index=range(5), columns=cols)
# This returns the expected slice
expected = df.xs((l... | {
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```python
# This one fails
import pandas as pd
import numpy as np
import io
data = io.StringIO(r"""401.000000 383.1216 0.0000 0.0000 0.5140 0.4860 MASLENN 116616 NH3N2 1
401.000000 383.1216 0.0000 0.0000 0.5140 0.4860 MASLENN 116616 NH3N2 1""")
df = pd.read_csv(data, sep... | {
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xref #9420 , #18430, #27202, #9420 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27594/events | https://github.com/pandas-dev/pandas/pull/27594 | 473,047,962 | MDExOlB1bGxSZXF1ZXN0MzAxMjkyMjU5 | 27,594 | DOC: add documentation for read_spss(#27476) | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Documentation is added for the new read_spss function.
After the generating html in Sphinx, it looks like this:
IO page top:
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https://api.github.com/repos/pandas-dev/pandas/issues/27595 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27595/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27595/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27595/events | https://github.com/pandas-dev/pandas/pull/27595 | 473,099,356 | MDExOlB1bGxSZXF1ZXN0MzAxMzM0NjQ4 | 27,595 | Expanded ASVs for to_json | {
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After this I'll probably:
- Convert "columns" orient to not use the block manager code
- Convert "values"
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https://api.github.com/repos/pandas-dev/pandas/issues/27596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27596/events | https://github.com/pandas-dev/pandas/issues/27596 | 473,104,495 | MDU6SXNzdWU0NzMxMDQ0OTU= | 27,596 | Cannot write partitioned parquet file to S3 | {
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#### Code Sample, a copy-pastable example if possible
```python
pd.DataFrame({'a': range(5), 'b': range(5)}).to_parquet('s3://mybucket', partition_cols=['b'])
```
#### Problem description
Fails with `AttributeError: 'NoneType' object has no attribute '_isfilestore'`
``... | {
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] | closed | false | null | [] | null | 18 | 2019-07-25T23:16:22Z | 2019-07-29T18:36:19Z | 2019-07-29T18:12:27Z | NONE | null | closes #14274
closes #19354
closes #22509
- [ ] tests added / passed
- [X] whatsnew entry
This is a long-standing bug. Effectively, it makes `transform('rank')` synonymous with `g.rank()` and same for other transformations.
We could also resolve this by restricting the `g.transform(name)` whitelist to only ... | {
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] | closed | false | null | [] | null | 12 | 2019-07-25T23:51:45Z | 2020-01-20T17:59:12Z | 2020-01-20T17:59:12Z | NONE | null | - [x] fixes #17927
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [-] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/27600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27600/events | https://github.com/pandas-dev/pandas/pull/27600 | 473,116,872 | MDExOlB1bGxSZXF1ZXN0MzAxMzQ5MDE0 | 27,600 | DEPR: NDFrame.set_axis inplace defaults to false #27525 | {
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has been there since <del>#20164</del> #16994 (issue was #14636), part of 0.21.0.
With discussion of plans to deprecate similar functionality from set_index in #24046, it's time to make sure `set_ax... | {
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] | closed | false | null | [] | null | 1 | 2019-07-25T23:57:28Z | 2019-07-26T00:10:15Z | 2019-07-26T00:10:09Z | NONE | null | #### Code Sample, a copy-pastable example if possible
df = pd.DataFrame(
{'code':['1', '1', '1', '3'], 'desc':['hello', 'my name is', 'rock', 'bye']},
index=pd.date_range('2018-01-01', periods=4, freq='1s')
)
df.groupby(['code']).rolling('2s').agg({'desc': 'count'})
df.groupby(['code']).rolling('2s').... | {
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] | closed | false | null | [] | null | 9 | 2019-07-26T01:05:09Z | 2019-12-21T02:17:52Z | 2019-12-21T02:17:52Z | MEMBER | null | I figured worth opening a dedicated issue since I've seen it come up in conversations. We don't really get a lot out of codecov right now and it tends to just be a distraction in CI. I think best to remove from CI unless anyone objects or we have a plan to better utilize
Note this would supersede #12634 | {
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```
centos 7
python3.6 64-bit
cx-Oracle==7.2.0
pandas==0.24.2
Oracle client 12.1
Oracle 12.1
ORACLE_HOME=/usr/lib/oracle/12.1/client64
NLS_LANG=SIMPLIFIED CHINESE_CHINA.UTF8
```
> CODE
```python
import pandas as pd
import cx_Oracle as co
con = co.connect(client, mode=co.SYSASM)
sql = f"select ... | {
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The idea is to give query the option to return the full dataframe, via some kind of "emtpy query".
I need this functionality quite often, since I am iterating on different querys.
Had an stackoverflow question on this here:
https://stackoverflow.com/questions/55933958/how-to-pass-an-empty-pandas-query/56982... | {
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Please assign to me. | {
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```
>>> pd.Series([1, 2, 3]).real
__main__:1: FutureWarning: ... | {
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This executes some deprecations from the 0.23/0.24 cycles, namely following the switch from `join=None` to `join='left'` (following #18657 / #20347), as well as the fact that list-likes *within* li... | {
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