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https://api.github.com/repos/pandas-dev/pandas/issues/31515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31515/events | https://github.com/pandas-dev/pandas/pull/31515 | 558,331,201 | MDExOlB1bGxSZXF1ZXN0MzY5NzM5NjMw | 31,515 | REGR: DataFrame.__setitem__(slice, val) is positional | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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"description": "String extension data ty... | open | false | null | [] | null | 0 | 2020-01-31T19:43:18Z | 2020-04-26T21:13:34Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
>>> df = pd.DataFrame({'a': ['asdf', None]}, dtype='string')
>>> df.query('a == "asdf"') # works
>>> df[df['a'] == 'asdf'] # fails
>>> df.query('a <= "asdf"') # fails
---------------------------------------------------------------------------
Valu... | {
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```python
import pandas as pd
pd.show_versions()
df = pd.DataFrame({'grp':[1,2,3,4,5]})
df = df.convert_dtypes()
df.replace(1,10)
```
#### Problem description
pd.DataFrame.replace is not working after using pd.DataFrame.convert_dtypes.
Stack trace:
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```
$ mypy pandas
pandas/core/base.py:679: error: "ArrayLike" has no attribute "nbytes"
pandas/core/indexes/base.py:246: error: Type variable "pandas._typing.ArrayLike" is unbound
pandas/core/indexes/base.py:246: note: (Hint: Use "Generic[ArrayLike]" or "Protocol[ArrayLike... | {
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After this, we are within striking distance of sharing the method between DTI/PI. | {
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This turned up two bugs:
1. `to_datetime(oob_values, cache=True, errors='coerce')` would raise. We had tests intended to catch this, but we didn't actually hit it because caching is disabled for inputs less than length 50. We only tested with length 3. I've... | {
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```python
import pandas as pd
import numpy as np
df = pd.DataFrame({'key1' : ['a', 'a', 'b', 'b', 'a'],
'key2' : ['one', 'two', 'one', 'two', 'one'],
'key3' : ['three', 'three', 'three', 'six', 'six'],
'data1' : np.random.randn(5),
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"followers_url": "https://api.github.com/users/jr... | 9 | 2020-01-31T23:04:58Z | 2020-04-05T10:45:23Z | 2020-04-05T10:45:22Z | CONTRIBUTOR | null | A decent number of regressions have been reported on 1.0.0. I think we should target 1.0.1 for sometime early next week. Perhaps on Tuesday, depending on how much progress we make on the regressions.
cc @pandas-dev/pandas-core.
make sure these are [backported](
https://github.com/pandas-dev/pandas/pulls?q=is%3Ap... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31524/events | https://github.com/pandas-dev/pandas/pull/31524 | 558,422,997 | MDExOlB1bGxSZXF1ZXN0MzY5ODA5MDI2 | 31,524 | BUG: non-iterable value in meta raise error in json_normalize | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31525/events | https://github.com/pandas-dev/pandas/pull/31525 | 558,435,184 | MDExOlB1bGxSZXF1ZXN0MzY5ODE4NTg4 | 31,525 | Unpin openpyxl | {
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ref #30009 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31526 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31526/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31526/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31526/events | https://github.com/pandas-dev/pandas/issues/31526 | 558,461,002 | MDU6SXNzdWU1NTg0NjEwMDI= | 31,526 | DOC: 10 minutes - <TAB> completion section showing inconsistent suggestions | {
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"followers_url": "https://api.github.com/users/j... | 5 | 2020-02-01T02:05:43Z | 2020-02-09T17:23:54Z | 2020-02-09T17:23:54Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
From the very end of the section "[Object Creation](https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html#object-creation)"
```python
In [12]: df2.<TAB> # noqa: E225, E999
df2.A df2.bool
df2.abs df2.boxplot... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31527 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31527/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31527/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31527/events | https://github.com/pandas-dev/pandas/pull/31527 | 558,468,279 | MDExOlB1bGxSZXF1ZXN0MzY5ODQzOTgy | 31,527 | CLN: libperiod | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31528/events | https://github.com/pandas-dev/pandas/pull/31528 | 558,472,609 | MDExOlB1bGxSZXF1ZXN0MzY5ODQ3MDg1 | 31,528 | REGR: Categorical with np.str_ categories | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31529 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31529/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31529/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31529/events | https://github.com/pandas-dev/pandas/pull/31529 | 558,474,352 | MDExOlB1bGxSZXF1ZXN0MzY5ODQ4MjQx | 31,529 | BUG: Series multiplication with timedelta scalar numexpr path | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31530 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31530/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31530/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31530/events | https://github.com/pandas-dev/pandas/issues/31530 | 558,516,327 | MDU6SXNzdWU1NTg1MTYzMjc= | 31,530 | `style` settings overwrite all `display` settings | {
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```python
import pandas as pd
from IPython.display import display
pd.options.display.float_format = "{:,.1f}".format
df = pd.DataFrame([1000.1234, 2000.1234])
display(df)
display(df.style.hide_index())
```
Output:
![image](https://user-images.githubusercontent.com/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31531/events | https://github.com/pandas-dev/pandas/issues/31531 | 558,518,085 | MDU6SXNzdWU1NTg1MTgwODU= | 31,531 | DOC issue of rendering for the docsting of pd.set_option | {
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] | closed | false | null | [] | null | 1 | 2020-02-01T10:14:13Z | 2020-02-01T13:46:17Z | 2020-02-01T13:46:17Z | CONTRIBUTOR | null | It seems that the `pd.set_option` docsting is not parsed properly by `sphinx`:
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.set_option.html
It was already the case in 0.25 doc but it was working in 0.23:
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.set_option.html | {
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```python
import pandas as pd
pd.set_option("display.max_colwidth", -1)
```
#### Problem description
There is a regression with `"display.max_colwidth"`. In the past, it was only accepting integer. The way to no limit the size was to pass `-1`. In pandas 1... | {
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I searched the [pd.NA][0] and the [boolean indexing][1] sections and have not seen this mentioned. Users need to be aware of this limitation as it greatly reduces their usability.
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On [this page](https://pandas.pydata.org/docs/index.html) the link on the upper left side logo points to the same page. I would expect it to point to the main page (https://pandas.pydata.o... | {
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```python
In [2]: df = pd.DataFrame({'col{}'.format(k) : pd.Categorical(['a_label'] +
['another_label']*500)
for k in range(2)}) ... | {
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#### Code Sample, a copy-pastable example if possible
```python
from pandas import date_range, Series
import matplotlib.pyplot as plt
index = date_range("1/1/2011", periods=2, freq="H", tz='UTC')
ts = Series([188.5, 328.25], index=index)
ts.plot()
plt.show()
```
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- [ ] closes #31474
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- [ ] add test_missing_column in pandas/tests/io/parser/test_parse_dates.py
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Added templates for the following use cases:
- Bug Report
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- [x] tests added / passed
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Most of the diff is misleading; it is only the one method that is moved, with a placeholder kept in N... | {
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…ape/pivot, reshape/reshape
- [ x] xref #29547
- [n/a ] tests added / passed
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[](https://www.tickgit.com/browse?repo=github.com/pandas-dev/pandas)
The badge links to `tickgi... | {
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- [X] closes #25057, ... | {
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As of now, the Linux py37_locale pipeline seems to fail independent of PR:
```
_________________ TestRegistration.test_registering_no_warning _________________
2020-02-02T08:55:26.6331296Z [gw1] linux -- Python 3.7.6 /home/vsts/miniconda3/envs/pandas-dev/bin/python
self = <pandas.tes... | {
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- [ ] ~~tests added / passed~~ (N/A)
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] ~~whatsnew entry~~ (N/A)
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I included the `whatsnew` entry as well. However, since the bug was already fixed in v1.0.0, it might be reasonable to just drop it. I leave it to the reviewer's discretion, that's why I've put it in a separate co... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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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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```python
from pathlib import Path
import json
import pandas as pd
path_to_json = Path('path/to/json')
with open(path_to_json, 'r') as feature_file:
features = pd.read_json(feature_file, orient='split')
with open(path_to_json, 'r') as feature_file:
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- [ ] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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sample code as below:
```python
import pandas as pd
df = pd.DataFrame(data=range(123456000, 123456789), columns=["c1"])
df["c2"] = pd.Timestamp("2020-01-31") + pd.to_timedelta(df["c1"], "ns")
df.to_parquet('nanosecond-test.parquet',
# use_deprecated_int96_timestamps=True
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
seems CI is broken after the new release of matplotlib | {
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cc @jbrockmendel @WillAyd | {
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```python
import os
import pandas
import tempfile
fname = ""
with tempfile.NamedTemporaryFile(delete=False, mode="w+", encoding="shift-jis") as f:
f.write("てすと\nbar")
fname = f.name
print(fname)
try:
with open(fname,mode="r", encoding="shift-jis") as f:
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"followers_url": "https://api.github.com/users/j... | 3 | 2020-02-02T17:11:58Z | 2020-02-02T18:31:43Z | 2020-02-02T18:31:37Z | CONTRIBUTOR | null | Noticed when discussing https://github.com/pandas-dev/pandas/issues/31560 our badges are written in HTML + take up a lot of vertical space on our Readme.
My branch (a lot more compact vs master):
https://github.com/alimcmaster1/pandas/tree/mcmali-readme#pandas-powerful-python-data-analysis-toolkit
I've also adde... | {
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xref #31207
If I modified the test as follows (with `import re` at the top of the file)
```python
with tm.assert_produces_warning(None):
fig, ax = self.plt.subplots()
ts.plot(ax=ax)
fig.canvas.draw()
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```python
import pandas as pd
df = pd.DataFrame([1,2,3])
df['col1'] = pd.DataFrame([1,2,3], dtype='category')
df['col2'] = pd.Series([1,2,3], dtype='category')
df.dtypes
```
#### Problem description
This returns
```
0 int64
col1 int6... | {
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xref #31545 | {
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Also, since ix has been removed, we have an unnecessary level of the class hierarchy, so this merges NDFrameIndexer and LocationIndexer.
Follow-ups will move base clas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31586 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31586/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31586/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31586/events | https://github.com/pandas-dev/pandas/issues/31586 | 558,757,780 | MDU6SXNzdWU1NTg3NTc3ODA= | 31,586 | pd.cut returning incorrect output in some cases | {
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```python
import numpy as np
import pandas as pd
arr = np.arange(10).astype(object)
arr[::2] = np.nan
print(arr)
# [nan 1 nan 3 nan 5 nan 7 nan 9]
result = pd.cut(arr, 2)
print(result)
# [NaN, (0.992, 5.0], NaN, (0.992, 5.0], NaN, (0.992, 5.0], NaN, (0.992, 5.0], NaN, (0.992, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31588 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31588/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31588/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31588/events | https://github.com/pandas-dev/pandas/pull/31588 | 558,770,165 | MDExOlB1bGxSZXF1ZXN0MzcwMDY1MDM5 | 31,588 | BUG: Handle object arrays with NaN in cut | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```python
$ time pip3 install pandas==1.0.0
Collecting pandas==1.0.0
Could not find a version that satisfies the requirement pandas==1.0.0 (from versions: 0.1, 0.2b0, 0.2b1, 0.2, 0.3.0b0, 0.3.0b2, 0.3.0, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.5.0, 0.6.0, 0.6.1, 0.7.0... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
I think from the discussion in https://github.com/pandas-dev/pandas/issues/31503 that this is something people want to allow. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31595 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31595/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31595/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31595/events | https://github.com/pandas-dev/pandas/issues/31595 | 558,798,566 | MDU6SXNzdWU1NTg3OTg1NjY= | 31,595 | `Series.isin` does not return all values in the column | {
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```python
import pandas as pd
import numpy as np
print(pd.__version__)
df = pd.DataFrame({'t': np.arange(0.5, 2.0, 0.1)})
slxn = df.t.isin(np.arange(0.5, 2.0, 0.5))
slxn.sum()
```
#### Problem description
`df` is a data frame with a single colu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31596 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31596/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31596/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31596/events | https://github.com/pandas-dev/pandas/pull/31596 | 558,855,794 | MDExOlB1bGxSZXF1ZXN0MzcwMTMxMTM3 | 31,596 | BUG: read_csv used in file like object RawIOBase is not recognize encoding option | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/31597 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31597/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31597/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31597/events | https://github.com/pandas-dev/pandas/pull/31597 | 558,869,166 | MDExOlB1bGxSZXF1ZXN0MzcwMTQyMjgx | 31,597 | REF: implement tests/indexes/objects/ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31598 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31598/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31598/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31598/events | https://github.com/pandas-dev/pandas/pull/31598 | 558,872,629 | MDExOlB1bGxSZXF1ZXN0MzcwMTQ1MTk2 | 31,598 | REF: simplify PeriodIndex.get_loc | {
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This also puts us within striking distance of sharing get_loc code | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31600 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31600/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31600/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31600/events | https://github.com/pandas-dev/pandas/issues/31600 | 558,897,401 | MDU6SXNzdWU1NTg4OTc0MDE= | 31,600 | How to determine the severity of skewness(nanskew) such as highly skewed,moderately skewed,normally distributed,etc by interpreting the returned numerical values from the .skew() function. | {
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```python
# Your code here
```
#### Problem description
The given documentation available below doesn't provide any specifics about the skewness results interpretation.
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.skew.ht... | {
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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/31604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31604/events | https://github.com/pandas-dev/pandas/issues/31604 | 558,962,816 | MDU6SXNzdWU1NTg5NjI4MTY= | 31,604 | DOC: pandas.Series.dt.day has incorrect docs | {
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The documentation shows the description for dt.month and not dt.day. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31605 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31605/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31605/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31605/events | https://github.com/pandas-dev/pandas/issues/31605 | 558,964,739 | MDU6SXNzdWU1NTg5NjQ3Mzk= | 31,605 | Unexpected TypeError with groupby | {
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```python
# Your code here
import numpy as np
import pandas as pd
def fct(group):
return group[1].values.flatten()
df = pd.DataFrame([('A', 1), ('A', 2), ('A', 3), ('B', 4), ('B', 5), ('C', np.nan),])
df.groupby(0).apply(fct)
```
#### Problem des... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31606 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31606/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31606/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31606/events | https://github.com/pandas-dev/pandas/pull/31606 | 558,975,377 | MDExOlB1bGxSZXF1ZXN0MzcwMjI5MTMy | 31,606 | DOC: add back google analytics with the new doc theme | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31607 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31607/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31607/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31607/events | https://github.com/pandas-dev/pandas/pull/31607 | 558,988,483 | MDExOlB1bGxSZXF1ZXN0MzcwMjM5ODQ1 | 31,607 | DOC: combine regressions in section in v1.0.1 whatsnew | {
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cc @TomAugspurger | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31608 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31608/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31608/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31608/events | https://github.com/pandas-dev/pandas/pull/31608 | 558,994,294 | MDExOlB1bGxSZXF1ZXN0MzcwMjQ0NTI0 | 31,608 | Backport PR #31571 on branch 1.0.x (DOC fix *_option() docstring) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31609 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31609/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31609/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31609/events | https://github.com/pandas-dev/pandas/issues/31609 | 558,996,209 | MDU6SXNzdWU1NTg5OTYyMDk= | 31,609 | _check_for_bom at parsers.py remove all the fields behind BOM | {
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```python
import pandas as pd # version 0.23.0, the same as 1.0.0
df=pd.read_csv("1.csv",sep=r",") # 1.csv treat first row as header, which start with BOM due to some unknow reason.
print(df.columns)
```
#### Problem description
_check_for_bom will not just... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31610/events | https://github.com/pandas-dev/pandas/pull/31610 | 558,998,454 | MDExOlB1bGxSZXF1ZXN0MzcwMjQ4MDU2 | 31,610 | Backport PR #31594: TST: troubleshoot npdev build | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31611 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31611/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31611/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31611/events | https://github.com/pandas-dev/pandas/pull/31611 | 559,041,844 | MDExOlB1bGxSZXF1ZXN0MzcwMjg0MDg2 | 31,611 | Backport PR #31606 on branch 1.0.x (DOC: add back google analytics with the new doc theme) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31612/events | https://github.com/pandas-dev/pandas/issues/31612 | 559,073,983 | MDU6SXNzdWU1NTkwNzM5ODM= | 31,612 | Groupby apply result shape depends on internal apply path | {
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The shape returned by groupby.apply currently depends on the path the internal apply takes (fast apply vs slow apply) which is opaque to the user. The following examples show the behaviour for two simple examples where the fast path returns the group key as index while the slow path returns ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31613/events | https://github.com/pandas-dev/pandas/pull/31613 | 559,076,127 | MDExOlB1bGxSZXF1ZXN0MzcwMzEyNTU5 | 31,613 | BUG: Ensure same index is returned for slow and fast path in groupby.apply | {
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- [x] closes #31612
- [x] closes #14927
closes #13056
- [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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