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https://api.github.com/repos/pandas-dev/pandas/issues/31816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31816/events | https://github.com/pandas-dev/pandas/pull/31816 | 562,117,859 | MDExOlB1bGxSZXF1ZXN0MzcyNzg2OTQ3 | 31,816 | BUG: Series[dim3array] failing to raise ValueError for some Index subclasses | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
ASV's, 100,000 rows, 5 columns, for reading from BytesIO & StringIO buffers (running on 2 core machine).
```
[ 75.00%] ··· io.csv.ReadCSVEngine.t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31818/events | https://github.com/pandas-dev/pandas/pull/31818 | 562,120,225 | MDExOlB1bGxSZXF1ZXN0MzcyNzg4NjUx | 31,818 | DOC: '10 minutes to pandas' - <TAB> completion section now show a con… | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2020-02-09T04:30:31Z | 2020-02-09T17:23:57Z | 2020-02-09T17:23:54Z | CONTRIBUTOR | null | …sistent block of suggestions. Solve issue #31526
- [x] closes #31526
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
I didn't run those listed tests above, however I doubt it will break something.
This PR only... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31819/events | https://github.com/pandas-dev/pandas/issues/31819 | 562,162,741 | MDU6SXNzdWU1NjIxNjI3NDE= | 31,819 | pandas 1.0.1 read_csv() is broken for some file-like objects | {
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"followers_url": "https://api.github.... | 22 | 2020-02-09T11:33:52Z | 2021-01-15T20:42:10Z | 2020-03-11T02:22:02Z | NONE | null | #### Code Sample
```python
import os
import pandas
import tempfile
import traceback
# pandas.show_versions()
fname = ''
with tempfile.NamedTemporaryFile(delete=False) as f:
f.write('てすと\nこむ'.encode('shift-jis'))
f.seek(0)
fname = f.name
try:
result = pandas.read_csv(f, encod... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31820/events | https://github.com/pandas-dev/pandas/pull/31820 | 562,163,406 | MDExOlB1bGxSZXF1ZXN0MzcyODE5MTcz | 31,820 | correct redirections in doc/redirect.csv for rolling | {
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```python
import pandas as pd
import csv
d = pd.DataFrame([
['1', '2', 3],
['3', 4, 5]])
d.to_csv('test_d', quoting=csv.QUOTE_NONNUMERIC, index=False)
dr = pd.read_csv('test_d')
dr.dtypes
```
> 0 int64
1 int64
2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31822/events | https://github.com/pandas-dev/pandas/pull/31822 | 562,187,747 | MDExOlB1bGxSZXF1ZXN0MzcyODM2NTM5 | 31,822 | DOC: Fix style guide typos | {
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```python
pd.concat([df_general.iloc[:,2:],df],ignore_index=True).fillna(method='ffill')
tried vs.
pd.concat([df_general.iloc[:,2:],df],ignore_index=False).fillna(method='ffill')
```
#### Problem description
concatenating the tables leaves 1 partially... | {
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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/31825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31825/events | https://github.com/pandas-dev/pandas/pull/31825 | 562,208,525 | MDExOlB1bGxSZXF1ZXN0MzcyODUxMzQw | 31,825 | Backport PR #31788 on branch 1.0.x (BUG: Too aggressive typing in NDFrame.align) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31826/events | https://github.com/pandas-dev/pandas/pull/31826 | 562,209,070 | MDExOlB1bGxSZXF1ZXN0MzcyODUxNzM0 | 31,826 | Backport PR #31820 on branch 1.0.x (correct redirections in doc/redirect.csv for rolling) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31827/events | https://github.com/pandas-dev/pandas/issues/31827 | 562,209,652 | MDU6SXNzdWU1NjIyMDk2NTI= | 31,827 | Should pd.core.algorithms.match have been removed? | {
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```python
import pandas
pandas.core.algorithms.match
```
#### Problem description
I have just started using the 1.0 release and just realised that the `pandas.core.algorithms.match` function has been removed. I did some investigating and found it was fir... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31828/events | https://github.com/pandas-dev/pandas/issues/31828 | 562,210,087 | MDU6SXNzdWU1NjIyMTAwODc= | 31,828 | DOC: Mention black and PEP8 in pandas style guide | {
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https://pandas.pydata.org/pandas-docs/stable/development/code_style.html | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31829/events | https://github.com/pandas-dev/pandas/pull/31829 | 562,212,205 | MDExOlB1bGxSZXF1ZXN0MzcyODUzOTU4 | 31,829 | DOC: Use consistent casing in headers | {
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https://pandas.pydata.org/pandas-docs/stable/user_guide/index.html#user-guide | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31831/events | https://github.com/pandas-dev/pandas/pull/31831 | 562,221,855 | MDExOlB1bGxSZXF1ZXN0MzcyODYxMDAz | 31,831 | Test messages test integer | {
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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/31832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31832/events | https://github.com/pandas-dev/pandas/pull/31832 | 562,223,108 | MDExOlB1bGxSZXF1ZXN0MzcyODYxODgw | 31,832 | CLN: disallow kind=None in _convert_slice_indexer | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31834/events | https://github.com/pandas-dev/pandas/pull/31834 | 562,227,080 | MDExOlB1bGxSZXF1ZXN0MzcyODY0Nzc4 | 31,834 | REF: move loc-only validate_read_indexer to Loc | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31835/events | https://github.com/pandas-dev/pandas/issues/31835 | 562,233,844 | MDU6SXNzdWU1NjIyMzM4NDQ= | 31,835 | 1.0.1 on conda - doc change or pushing to main conda channel? | {
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The install instructions in the docs say to just use `conda install pandas`, but that installs 1.0.0.
I'm not sure if the solution is to push 1.0.1 to the main conda channel (if you control that) or if it's worth updating the install instructions ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31836/events | https://github.com/pandas-dev/pandas/pull/31836 | 562,239,904 | MDExOlB1bGxSZXF1ZXN0MzcyODczODg5 | 31,836 | Fixed mypy errors in pandas/tests/extension/json/test_json.py | {
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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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https://api.github.com/repos/pandas-dev/pandas/issues/31837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31837/events | https://github.com/pandas-dev/pandas/pull/31837 | 562,240,706 | MDExOlB1bGxSZXF1ZXN0MzcyODc0NTI3 | 31,837 | REF: make _setitem_with_indexer iloc-only | {
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_setitem_with_indexer is used for positional indexers, so it is misleading for it to be in loc anyway.
_setitem_with_indexer is an absolute beast, will be easier to sort out when we dont have to worry about what class we're in.
The diff looks misleading. All this does is
- move _s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31838/events | https://github.com/pandas-dev/pandas/pull/31838 | 562,250,600 | MDExOlB1bGxSZXF1ZXN0MzcyODgxNzgw | 31,838 | Docstring fixes for PR06 errors | {
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- [x] xref #28724
- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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This code raises an error:
```python
>>> s = pd.Series([0, pd.NA], dtype='Int8')
>>> s.astype('string')
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31840/events | https://github.com/pandas-dev/pandas/pull/31840 | 562,292,782 | MDExOlB1bGxSZXF1ZXN0MzcyOTEzOTkw | 31,840 | BUG/DEPR: loc.__setitem__ incorrectly accepting positional slices | {
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- [x] closes #16121
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I plan to flesh out the tests before this goes in.
cc @toobaz | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/31842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31842/events | https://github.com/pandas-dev/pandas/pull/31842 | 562,334,880 | MDExOlB1bGxSZXF1ZXN0MzcyOTQ3ODEz | 31,842 | BUG: Fix raw parameter not being respected in groupby.rolling.apply | {
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"description": "rolling, ewma, expanding... | closed | false | null | [] | {
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"followers_url": "https://api.github.... | 6 | 2020-02-10T05:31:20Z | 2020-02-19T17:36:05Z | 2020-02-10T12:50:32Z | MEMBER | null | - [x] closes #31754
- [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/31843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31843/events | https://github.com/pandas-dev/pandas/issues/31843 | 562,352,484 | MDU6SXNzdWU1NjIzNTI0ODQ= | 31,843 | Doesn't seem possible to assign to .loc when used with IndexSlice | {
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"description": "Related to indexing on s... | open | false | null | [] | null | 0 | 2020-02-10T06:29:10Z | 2021-07-28T05:12:54Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
Given a dataframe,
```
Year 2018 2019
Dimension Before After Before After
A 0 1 1.5 2
B 0 1 1.5 2
C 0 1 1.0 3
D 1 1 1.5 2
```
I would like ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31844 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31844/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31844/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31844/events | https://github.com/pandas-dev/pandas/pull/31844 | 562,357,790 | MDExOlB1bGxSZXF1ZXN0MzcyOTY2Njky | 31,844 | CLN-29547 replace old string formatting | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31845 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31845/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31845/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31845/events | https://github.com/pandas-dev/pandas/issues/31845 | 562,375,724 | MDU6SXNzdWU1NjIzNzU3MjQ= | 31,845 | ENH: Add engine keyword argument to groupby.apply to leverage Numba | {
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... | open | false | null | [] | null | 1 | 2020-02-10T07:35:19Z | 2020-06-15T18:55:59Z | null | MEMBER | null | Similar to https://github.com/pandas-dev/pandas/issues/30936 and https://github.com/pandas-dev/pandas/issues/28987, we should next allow `groupby.apply` to leverage the optional Numba dependency by introducing an engine keyword that operates similarly to `rolling.apply` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31846 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31846/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31846/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31846/events | https://github.com/pandas-dev/pandas/issues/31846 | 562,420,744 | MDU6SXNzdWU1NjI0MjA3NDQ= | 31,846 | Don't force conversion to list in to_sql with method callable | {
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"description": "to_sql, ... | open | false | null | [] | null | 0 | 2020-02-10T09:11:11Z | 2021-07-28T05:13:51Z | null | NONE | null | #### Problem description
`pandas.to_sql()` takes a `method` argument that allows one to perform the insert into the database table using a method other than the normal series of `INSERT` statements.
The callable that can be passed using this argument must take a `data_iter` argument, an iterable containing the da... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31847/events | https://github.com/pandas-dev/pandas/issues/31847 | 562,499,591 | MDU6SXNzdWU1NjI0OTk1OTE= | 31,847 | BUG: pd.NA doesn't pickle/unpickle faithfully | {
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"description": "read_pickle, to_pickle",... | closed | false | null | [] | {
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"followers_url": "https://api.github.... | 12 | 2020-02-10T11:29:03Z | 2020-03-02T23:13:33Z | 2020-03-02T23:13:33Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
In [5]: df['Gold Categories'].count()
Out[5]: 135218
In [6]: df['Gold Categories'].isna().sum()
Out[6]: 0
In [7]: df['Gold Categories'].iloc[256]
Out[7]: <NA>
In [8]: pd.isna(df['Gold Categories'].iloc[256])
Out[8]: False
In [9]: type... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31848 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31848/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31848/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31848/events | https://github.com/pandas-dev/pandas/issues/31848 | 562,501,335 | MDU6SXNzdWU1NjI1MDEzMzU= | 31,848 | Query abs(column) == [1, 2] fails | {
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"id... | open | false | null | [] | null | 4 | 2020-02-10T11:32:30Z | 2020-02-25T20:17:31Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
df = pd.DataFrame({"col": [1, -1, 2, -2]})
# Works:
df.query("abs(col) == 1")
# Works:
df.query("col == [1, -1, 2, -2]")
# Fails:
df.query("abs(col) == [1, 2]")
```
traceback:
<details>
```
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31849/events | https://github.com/pandas-dev/pandas/issues/31849 | 562,518,091 | MDU6SXNzdWU1NjI1MTgwOTE= | 31,849 | SeriesGroupby transform unique not working in Pandas 1.0.1 | {
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"followers_url": "https://api.github.com/users/jorisva... | 7 | 2020-02-10T12:06:59Z | 2020-03-03T03:14:39Z | 2020-03-03T03:14:39Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
df = pd.DataFrame({"title":['a','b','c','c','a'], "asset_id":['a1','b1','c1','c2','c1']})
df.groupby("title").asset_id.transform("unique")
```
#### Problem description
Since pandas 1.0.1, unique does not see... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31850/events | https://github.com/pandas-dev/pandas/issues/31850 | 562,626,422 | MDU6SXNzdWU1NjI2MjY0MjI= | 31,850 | ENH: str.replace on multiple columns | {
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... | closed | false | null | [] | null | 3 | 2020-02-10T15:11:40Z | 2021-07-28T05:18:17Z | 2021-07-28T05:18:17Z | NONE | null | #IT WORKS
df['Total'] = df['Total'].str.replace(r'\.', '')
df['Homes'] = df['Homes'].str.replace(r'\.', '')
df['Dones'] = df['Dones'].str.replace(r'\.', '')
#IT DOESNT WORK
cols = ["Total", "Homes", "Dones"]
df[cols] = df[cols].str.replace(r'\.', '')
On Pandas 1.0.1 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31851/events | https://github.com/pandas-dev/pandas/issues/31851 | 562,640,403 | MDU6SXNzdWU1NjI2NDA0MDM= | 31,851 | ValueError on df.agg if a list of functions is given | {
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"description": "Apply, Aggregate, Transf... | open | false | null | [] | {
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... | 3 | 2020-02-10T15:32:54Z | 2020-02-12T20:30:53Z | null | CONTRIBUTOR | null | #### Code Sample
```python
import numpy as np
import pandas as pd
_arr = np.array([1,2,3,4,5,np.nan])
_arr2 = np.array([1,2,3,4,5,7])
df = pd.DataFrame({"A": _arr, "B": _arr2})
def perc_fun(q):
def f(arr):
return np.nanpercentile(arr, q)
f.__name__ = f"p-{q}"
return f
```
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] | closed | false | null | [] | null | 1 | 2020-02-10T16:17:21Z | 2020-02-19T23:19:56Z | 2020-02-19T23:19:49Z | CONTRIBUTOR | null | - [ ] xref #30999
- [ ] 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/31853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31853/events | https://github.com/pandas-dev/pandas/pull/31853 | 562,671,722 | MDExOlB1bGxSZXF1ZXN0MzczMjI2MDM3 | 31,853 | REF: Use nonzero in place of argwhere | {
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xref #31813
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https://api.github.com/repos/pandas-dev/pandas/issues/31855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31855/events | https://github.com/pandas-dev/pandas/pull/31855 | 562,817,426 | MDExOlB1bGxSZXF1ZXN0MzczMzQ0NjI3 | 31,855 | TST: parametrize tests.indexing.test_float | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31856/events | https://github.com/pandas-dev/pandas/issues/31856 | 562,823,831 | MDU6SXNzdWU1NjI4MjM4MzE= | 31,856 | `test_maybe_promote_int_with_int` error on 32bit platform | {
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This failure i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31858/events | https://github.com/pandas-dev/pandas/issues/31858 | 562,881,868 | MDU6SXNzdWU1NjI4ODE4Njg= | 31,858 | API: df.loc(axis=0)[key] works differently from df.loc[key] | {
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```
def _mklbl(prefix, n):
return ["{prefix}{i}".format(prefix=prefix, i=i) for i in range(n)]
index = MultiIndex.from_product(
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- [ ] 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/31861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31861/events | https://github.com/pandas-dev/pandas/issues/31861 | 562,895,656 | MDU6SXNzdWU1NjI4OTU2NTY= | 31,861 | Assigned conversion via loc to Int64 fails under peculiar conditions | {
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```python
test = pd.DataFrame({'a': ['test'], 'b': [np.nan]})
test.loc[:, 'b'] = test.loc[:, 'b'].astype('Int64')
# *** AttributeError: 'IntegerArray' object has no attribute 'size'
```
#### Problem description
Assignment of `.astype('Int64')` sometimes f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31862/events | https://github.com/pandas-dev/pandas/issues/31862 | 562,917,798 | MDU6SXNzdWU1NjI5MTc3OTg= | 31,862 | Pandas qcut - Allow right argument to make left bins inclusive/exclusive | {
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```python
def qcut(
x,
q,
right=True,
labels=None,
retbins: bool = False,
precision: int = 3,
duplicates: str = "raise",
):
fac, bins = _bins_to_cuts(
x,
bins,
right=True,
labels=labels,
precision=precision,
include_lowest=True,
dtype=dtyp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31863/events | https://github.com/pandas-dev/pandas/pull/31863 | 562,922,277 | MDExOlB1bGxSZXF1ZXN0MzczNDMxNDc5 | 31,863 | CLN: organize MultiIndex indexing tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31864/events | https://github.com/pandas-dev/pandas/pull/31864 | 562,923,298 | MDExOlB1bGxSZXF1ZXN0MzczNDMyMzU2 | 31,864 | REF: organize base class Index tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31865 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31865/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31865/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31865/events | https://github.com/pandas-dev/pandas/pull/31865 | 562,925,037 | MDExOlB1bGxSZXF1ZXN0MzczNDMzNzcx | 31,865 | CLN: tests.generic | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31866/events | https://github.com/pandas-dev/pandas/pull/31866 | 562,940,264 | MDExOlB1bGxSZXF1ZXN0MzczNDQ2MDY1 | 31,866 | BUG: catch almost-null-slice in _convert_slice_indexer | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31867 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31867/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31867/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31867/events | https://github.com/pandas-dev/pandas/pull/31867 | 562,954,467 | MDExOlB1bGxSZXF1ZXN0MzczNDU1ODk4 | 31,867 | API/BUG: raise only KeyError failed on geitem/loc lookups | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
ATM we raise a mix of KeyError and TypeError.
I'm in the process of going through the Indexing issues will see what else this closes. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31868/events | https://github.com/pandas-dev/pandas/pull/31868 | 562,968,848 | MDExOlB1bGxSZXF1ZXN0MzczNDY2MDA4 | 31,868 | CLN: f-string formatting | {
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- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Replacing strings interpolated with .format() with strings interpolated with f-strings | {
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```python
import datetime
import pandas as pd
s1 = pd.Series([datetime.date(2020, 1, 1)])
s2 = pd.Series([None])
print((s1 - s2) / pd.Timedelta(days=1))
```
#### Problem description
With pandas 1.0.0, this was working fine and putting `NaN` in the `Series`.
With pandas 1.0.1, I get ... | {
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] | closed | false | null | [] | null | 4 | 2020-02-11T09:38:05Z | 2020-03-08T11:56:39Z | 2020-02-11T10:36:14Z | CONTRIBUTOR | null | I kept my code free of deprecation warnings for 0.25.3 but upgrading still broke it.
I can now see on the tracker that multi-dimensional indexing has been deprecated #27837, #30588 #30867, but it seems the introduction of the deprecation warning has changed the behaviour itself.
```python
>>> pd.__version__
'... | {
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```python
import pandas as pd
import matplotlib as mpl
mpl.rcParams['image.cmap'] = 'Greys'
df = pd.DataFrame(np.random.randn(1000, 2), columns=["a", "b"])
df["b"] = df["b"] + np.arange(1000)
df.plot.hexbin(x="a", y="b", gridsize=25) # this is not gray...
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```python
import pandas as pd
import numpy as np
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d, dtype=np.int8)
```
#### Problem description
The code sample above was taken straight from the API reference:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.D... | {
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```python
[ins] In [10]: df_e2.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 127286 entries, 0 ... | {
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```python
In [1]: import pandas as pd
In [2]: a = pd.DataFrame({"A": [1, 2], "B": [pd.Timestamp('2000'), pd.NaT]})
In [3]: b = pd.DataFrame({"A": [1, 2]})
In [4]: a.align(b)[1].dtypes
Out[4]:... | {
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For this PR I ran the command `grep -l -R -e '%s' -e '%d' -e '\.format(' --include=*.{py,pyx} pandas/` and checked all the files that were returned for `.format(` and changed the old string format for the corresponding `fstrings` to attempt a full clean of, [#2954... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31879/events | https://github.com/pandas-dev/pandas/issues/31879 | 563,267,926 | MDU6SXNzdWU1NjMyNjc5MjY= | 31,879 | Monthly Dev Meeting | {
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"gi... | [] | closed | false | null | [] | null | 2 | 2020-02-11T15:04:22Z | 2020-02-12T22:09:02Z | 2020-02-12T22:09:02Z | CONTRIBUTOR | null | The next monthly dev call is tomorrow (Wednesday, February 12th) at 18:00 UTC. We invite all to come. https://dev.pandas.io/docs/development/meeting.html
We'll use this Zoom link: https://zoom.us/j/942410248
The agenda is at https://docs.google.com/document/d/1tGbTiYORHiSPgVMXawiweGJlBw5dOkVJLY-licoBmBU/edit?usp=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31880/events | https://github.com/pandas-dev/pandas/issues/31880 | 563,285,712 | MDU6SXNzdWU1NjMyODU3MTI= | 31,880 | MultiLevelIndex sort_index already does support ascending as a list of booleans | {
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```python
df.sort_index(level=[1, 0], ascending=[True, False])
```
#### Problem description
The [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sort_index.html) states that `pandas.DataFrame.sort_index` parameter ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31881 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31881/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31881/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31881/events | https://github.com/pandas-dev/pandas/issues/31881 | 563,300,115 | MDU6SXNzdWU1NjMzMDAxMTU= | 31,881 | assert_numpy_array_equal raises TypeError for pd.NA | {
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] | closed | false | null | [] | null | 0 | 2020-02-11T15:51:26Z | 2020-02-13T08:16:34Z | 2020-02-13T08:16:34Z | MEMBER | null | Discovered in #31799
```python
>>> arr1 = np.array([True, False])
>>> arr2 = np.array([True, pd.NA])
>>> tm.assert_numpy_array_equal(arr1, arr2)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/williamayd/clones/pandas/pandas/_testing.py", line 1001, in assert_numpy_array... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31882 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31882/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31882/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31882/events | https://github.com/pandas-dev/pandas/issues/31882 | 563,312,229 | MDU6SXNzdWU1NjMzMTIyMjk= | 31,882 | np.nan comparison to pd.NA Equality Semantics differ elementwise in IntervalArray | {
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I think this is probably a deeper rooted problem than just IntervalArray but not sure how else to describe. @jorisvandenbossche maybe has thoughts
```python
>>> from pandas.core.arrays import IntervalArray
>>> arr = IntervalArray.from_arrays([0., 1., 2., np.nan], [1., 2., 3., np.nan])
>>> ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31883 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31883/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31883/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31883/events | https://github.com/pandas-dev/pandas/issues/31883 | 563,317,241 | MDU6SXNzdWU1NjMzMTcyNDE= | 31,883 | Add test for MultiIndex Construction with pd.NA | {
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... | 5 | 2020-02-11T16:17:13Z | 2020-04-14T15:00:52Z | 2020-04-14T15:00:52Z | MEMBER | null | Discovered in #31799
```python
>>> pd.MultiIndex.from_product([np.array([0., np.nan], dtype="object"), ["a", "B"]])
MultiIndex([(0.0, 'a'),
(0.0, 'B'),
(nan, 'a'),
(nan, 'B')],
)
>>> pd.MultiIndex.from_product([np.array([0., pd.NA], dtype="object"), ["a", "B"]])
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31884/events | https://github.com/pandas-dev/pandas/issues/31884 | 563,325,268 | MDU6SXNzdWU1NjMzMjUyNjg= | 31,884 | tm.assert_index_equal broken with pd.NA and np.NaT sentinel | {
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I couldn't reproduce this without using a np.* NaT sentinel...
```python
>>> idx1 = pd.Index([pd.NA, np.datetime64("nat")])
>>> idx2 = pd.Index([pd.NA, pd.NaT])
>>> tm.assert_index_equal(idx1, idx2)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31885 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31885/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31885/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31885/events | https://github.com/pandas-dev/pandas/issues/31885 | 563,372,405 | MDU6SXNzdWU1NjMzNzI0MDU= | 31,885 | columns keyword has no effect in DataFrame.to_excel() in 1.0.1 | {
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This can be replicated using:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31886 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31886/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31886/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31886/events | https://github.com/pandas-dev/pandas/issues/31886 | 563,374,605 | MDU6SXNzdWU1NjMzNzQ2MDU= | 31,886 | np.ndarray.nonzero() doesn't know how to deal with pd.NA and throws type error | {
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```python
np.where(pd.Series([True, False,pd.NA], dtype='boolean'))
```
#### Problem description
np.ndarray.nonzero() doesn't know how to deal with pd.NA and throws type error.
#### Expected Output
(array([0], dtype=int64),)
Since pd.NA is a value tha... | {
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Other things being cleaned up here appear to be remnants from Panel | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31888 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31888/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31888/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31888/events | https://github.com/pandas-dev/pandas/pull/31888 | 563,417,953 | MDExOlB1bGxSZXF1ZXN0MzczODMyMjY0 | 31,888 | CLN: D300 Use """triple double quotes""" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31894 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31894/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31894/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31894/events | https://github.com/pandas-dev/pandas/pull/31894 | 563,423,852 | MDExOlB1bGxSZXF1ZXN0MzczODM3MTA4 | 31,894 | DOC: Fix divmod return values | {
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- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/31896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31896/events | https://github.com/pandas-dev/pandas/issues/31896 | 563,429,315 | MDU6SXNzdWU1NjM0MjkzMTU= | 31,896 | BUG: read_parquet unexpected output with pyarrow 0.16.0 and nullable usigned int dtype | {
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data = [np.nan, 1, 2, 3, 4]
df = pd.DataFrame()
df['col'] = pd.Series(data, dtype = "UInt32")
df.to_parquet('example.parquet')
res = pd.read_parquet('example.parquet')
print(res)
```
#### Problem description
The above cope prints:
```
col
0 <NA>
1 0
2 1
3 0
4 2
```
T... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Allows for a nice cleanup in _setitem_with_indexer. Note this will conflict with #31887; the order doesn't matter. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31898/events | https://github.com/pandas-dev/pandas/pull/31898 | 563,497,787 | MDExOlB1bGxSZXF1ZXN0MzczODk4Mzk5 | 31,898 | DOC: Update sort_index docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31899/events | https://github.com/pandas-dev/pandas/issues/31899 | 563,500,312 | MDU6SXNzdWU1NjM1MDAzMTI= | 31,899 | Combining two Series of dtype `Int8` converts them to `Int64` | {
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```python
>>> s1 = pd.Series([91, 92, pd.NA, 94], dtype='Int8')
>>> s2 = s1.copy()
>>> s1 + s2 # result looks co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31900/events | https://github.com/pandas-dev/pandas/pull/31900 | 563,528,907 | MDExOlB1bGxSZXF1ZXN0MzczOTE4NzM5 | 31,900 | TST: parametrize generic/internals tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31901/events | https://github.com/pandas-dev/pandas/pull/31901 | 563,560,140 | MDExOlB1bGxSZXF1ZXN0MzczOTM3NDMz | 31,901 | TST: parametrize eval tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31902/events | https://github.com/pandas-dev/pandas/issues/31902 | 563,562,633 | MDU6SXNzdWU1NjM1NjI2MzM= | 31,902 | Add generic buffer (s3) support to read_hdf | {
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... | 6 | 2020-02-11T22:52:14Z | 2020-05-14T18:27:20Z | null | CONTRIBUTOR | null | Hey folks, this is not a bug but a question/feature request.
Today `read_hdf` does not support reading hdf files directly from `s3`.
If you try to pass an _s3_ url directly, as you can do with `read_csv` you get a _file does not exist error message:
```python
>>> import pandas as pd
>>> df = pd.read_hdf('s3:/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31903/events | https://github.com/pandas-dev/pandas/issues/31903 | 563,576,426 | MDU6SXNzdWU1NjM1NzY0MjY= | 31,903 | PERF: Index.__getitem__ should not need to do dtype inference | {
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"color": "a1... | closed | false | null | [] | null | 3 | 2020-02-11T23:04:31Z | 2020-06-10T06:57:39Z | 2020-06-09T20:46:42Z | MEMBER | null | Currently, the `__getitem__` call in a snippet like
```
idx = pd.Index([1, 2, 3, 4])
idx[np.array([0, 3])]
```
does type inference when creating the new Index object (using `_shallow_copy_with_infer`), while I think we can always know for sure the result will be another Int64Index (for the above example) ? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31904/events | https://github.com/pandas-dev/pandas/issues/31904 | 563,671,611 | MDU6SXNzdWU1NjM2NzE2MTE= | 31,904 | pandas read_excel error:TypeError: 'values' is not ordered, please explicitly specify the categories order by passing in a categories argument. | {
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```python
import pandas as pd
f = 'F:/example.xlsx'
ex_file = pd.ExcelFile(f)
sheet_names = ex_file.sheet_names
for name in sheet_names:
print(name)
dc = pd.read_excel(ex_file, sheet_name=name)
```
#### Problem details
```
Traceback (most recent call last):
File "D:\pandas\core... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31905/events | https://github.com/pandas-dev/pandas/pull/31905 | 563,677,327 | MDExOlB1bGxSZXF1ZXN0Mzc0MDQ0MjA0 | 31,905 | BUG: using loc[int] with object index | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This causes us to raise KeyError instead of TypeError in a couple of places, consistent with #31867.
Also note this leaves us with only one non-p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31906/events | https://github.com/pandas-dev/pandas/pull/31906 | 563,684,508 | MDExOlB1bGxSZXF1ZXN0Mzc0MDQ5Nzkw | 31,906 | REF: implement unpack_1tuple to clean up Series.__getitem__ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31907/events | https://github.com/pandas-dev/pandas/pull/31907 | 563,685,201 | MDExOlB1bGxSZXF1ZXN0Mzc0MDUwMjk1 | 31,907 | CLN: remove odious kludge | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31908/events | https://github.com/pandas-dev/pandas/issues/31908 | 563,710,469 | MDU6SXNzdWU1NjM3MTA0Njk= | 31,908 | pd.read_excel() ignores converter functions over na_filter argument | {
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... | open | false | null | [] | null | 0 | 2020-02-12T03:02:22Z | 2020-05-08T00:46:10Z | null | NONE | null | Please consider the code below.
```python
import pandas as pd
__to_str = lambda x: '' if pd.isnull(x) == True else str(x)
# Let's say that the excel to be read has a column with some empty strings or nulls in them
# by default na_filter is True
df = pd.read_excel('./file1.xlsx', converters = {'Name': __to_str... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31909/events | https://github.com/pandas-dev/pandas/issues/31909 | 563,719,119 | MDU6SXNzdWU1NjM3MTkxMTk= | 31,909 | df.to_parquet crashes on pyarrow with timedelta64[ns] | {
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```python
# any dataframe with a timedelta64[ns] type in it
df.to_parquet('/tmp/tmp.parquet.gzip', compression='gzip')
```
versions:
```
Python 3.7.6
pandas==0.25.3
pyarrow==0.15.1
```
#### Problem description
```
Traceback (most recent call l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31910/events | https://github.com/pandas-dev/pandas/pull/31910 | 563,725,767 | MDExOlB1bGxSZXF1ZXN0Mzc0MDg1NDMz | 31,910 | BUG: Handle NA in assert_numpy_array_equal | {
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"followers_url": "https://api.github.... | 3 | 2020-02-12T03:29:38Z | 2020-02-13T14:14:33Z | 2020-02-13T08:16:34Z | MEMBER | null | - [x] closes #31881
- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
I think in the the case where we have NA we want to use identity rather than equality for checking when two arrays are equal. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31911/events | https://github.com/pandas-dev/pandas/pull/31911 | 563,730,392 | MDExOlB1bGxSZXF1ZXN0Mzc0MDg5Mzg2 | 31,911 | CLN: implement _getitem_tuple_same_dim | {
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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/31912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31912/events | https://github.com/pandas-dev/pandas/issues/31912 | 563,737,705 | MDU6SXNzdWU1NjM3Mzc3MDU= | 31,912 | Obtain the category codes from `CategoricalDtype` | {
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cat = pd.Categorical.from_codes([-1, 1, 2, 3, 4], ['-', 'a', 'b', 'c', 'd'])
print(cat.codes)
>>> array([-1, 1, 2, 3, 4], dtype=int8)
dtype = cat.dtype
dtype.codes
>>> Traceback (most recent call last):
>>> File "<stdin>", line 1, in <module>
>>> AttributeError: 'CategoricalDtype' object has no... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31913/events | https://github.com/pandas-dev/pandas/issues/31913 | 563,745,729 | MDU6SXNzdWU1NjM3NDU3Mjk= | 31,913 | DataFrame.query raises ValueError when comparing columns with nullable dtypes | {
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... | 10 | 2020-02-12T04:33:05Z | 2021-10-25T12:24:31Z | null | CONTRIBUTOR | null | #### Code Sample
```python
In [2]: df1 = pd.DataFrame({'A': [1, 1, 2], 'B': [1, 2, 2]})
In [3]: df1.dtypes
Out[3]:
A int64
B int64
dtype: object
In [4]: df2 = pd.DataFrame({'A': [1, 1, 2], 'B': [1, 2, 2]}, dtype='Int64')
In [5]: df2.dtypes
Out[5]:
A Int64
B Int64
dtype: object
In [6]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31914/events | https://github.com/pandas-dev/pandas/pull/31914 | 563,752,926 | MDExOlB1bGxSZXF1ZXN0Mzc0MTA3MzUx | 31,914 | CLN: 29547 replace old string formatting 1 | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2020-02-12T04:56:23Z | 2020-02-21T01:30:03Z | 2020-02-12T17:18:50Z | CONTRIBUTOR | null | I splitted PR #31844 in batches, this is the first one
For this PR I ran the command `grep -l -R -e '%s' -e '%d' -e '\.format(' --include=*.{py,pyx} pandas/` and checked all the files that were returned for `.format(` and changed the old string format for the corresponding `fstrings` to attempt a full clean of, [#2954... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31915/events | https://github.com/pandas-dev/pandas/pull/31915 | 563,795,364 | MDExOlB1bGxSZXF1ZXN0Mzc0MTQyMTUz | 31,915 | CLN: Some groupby internals | {
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"id": ... | closed | false | null | [] | null | 4 | 2020-02-12T07:03:11Z | 2020-02-17T00:23:58Z | 2020-02-17T00:23:55Z | MEMBER | null | - [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
1. Avoids calling `_get_sorted_data()` twice
2. Eliminates `*args, **kwargs` from an internal function | {
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