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```python
# Your code here
```
#### Problem description
[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]
**Note**: We receive a lot of issues on our GitHub tracker, so it is very possibl... | {
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```python
import pandas as pd
pd.__version__
# df created from list, None is casted to str
df = pd.DataFrame(["1", "2", None], columns=["a"], dtype="str")
type(df.loc[2].values[0])
# Equivalent df created from dict, None remains NoneType
df = pd.DataFrame({"a": ["1", "2", None]}, dt... | {
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import pandas as pd
df = pd.DataFrame({
'a' : [0,0,1,1,2,2,3,3],
'b' : [1,2,3,4,5,6,7,8]
},
dtype='Int64')
df.groupby('a').mean()
```
#### Problem description
Using the new nullable integer data type, calling `mean` after grouping results in a `TypeError`. Using `int64` dtype it work... | {
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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
Hopefully, this fixes the flaky test
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Right formula can be found here: https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.skew.html | {
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- [x] tests added / passed
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It looks like this was due to the `TypeError` not being caught | {
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```
import numpy as np
from pandas import *
%load_ext line_profiler
def get_df():
N = 10 ** 4
labels = np.random.randint(0, 2000, size=N)
labels2 = np.ra... | {
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```python
import datetime
datetime.datetime(1953,1,23,0).astimezone(datetime.timezone(datetime.timedelta(days=-1, seconds=57600), 'Pacific Standard Time'))
```
#### Problem description
```pandas._libs.tslibs.tzconversion._tz_convert_tzlocal_utc``` calls ```dt.astimezone()```, which fails on Windo... | {
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```sh
Traceback (most recent call last):
File "/home/vsts/miniconda3/bin/conda", line 7, in <module>
from conda.cli import main
ImportError: No module named conda.cli
``` | {
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Though, I don't know what @MarcoGorelli meant in the 5'th issue.
Didn't know how to expand my previous Pull Request: #32212, as I have already deleted the files on my machine.
Here are the screenshots, @WillAyd:
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```python
# For ignoring case, I have to explicitly change the regex
replace_map = {
'[Q|q]uick[P|p]ay with [Z|z]elle payment to ': 'Payment to',
'[Q|q]uick[P|p]ay with [Z|z]elle payment from ': 'Payment from'
}
df.replace({'title': replace_map}, regex=True, inplace=True)
```
#### Pr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32234/events | https://github.com/pandas-dev/pandas/issues/32234 | 570,381,519 | MDU6SXNzdWU1NzAzODE1MTk= | 32,234 | Using scipy's entropy function with "string" dtype | {
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I calculate entropies of real valued random variables thanks to `pandas` and `scipy.stats`. For some practical reason, I bin my df's values with `pd.cut` and the `labels` I assign to these binned valued has to be a string. I wanted to use the new "string" dtype introduced in 1.0.0, but there seems to be an i... | {
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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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- [x] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] added message to pytest.raises for test_constructor_dict
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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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```python
df = pd.read_excel()
```
As it been said in the new docs that read_excel can now read xlsb, I tried to run my xlsb file and still got and error.
```
Supports xls, xlsx, xlsm, xlsb, and odf file extensions read from a local filesystem or URL. Supports an option to read a single sheet or a list of shee... | {
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```python
# Your code here
for lag in [2, 3, 7, 15, 21]:
df_tmp.set_index("date")
.groupby("group")
.resample("D")
.sum()
.groupby("group")
.shift()
... | {
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```python
import pandas as pd
file_name = "https://raw.githubusercontent.com/uiuc-cse/data-fa14/gh-pages/data/iris.csv"
df = pd.read_csv(file_name)
df[['species','petal_width']].groupby('species', as_index=False).agg(min_width=pd.NamedAgg(column='petal_wi... | {
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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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```python
# Your code here
df.style.hide_index()
```
#### Problem description
How do I convert a Style object back to a dataframe to be outputted by nbconvert as a latex file or pdf
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```python
import pandas as pd
import pyarrow as pa
df = pd.DataFrame([{'Minutes5UTC': '2020-02-25T21:15:00+00:00', 'Minut... | {
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Hi there, I'm trying to do something like this:
```python
BUSDAY_OFFSET = pd.offsets.CustomBusinessDay(calendar=MY_HOLIDAY_CALENDAR)
my_rollback = pd.date_range('2010-05-10', '2020-02-25') + BUSDAY_OFFSET - BUSDAY_OFFSET
```
and I am getting the following warning:
```
C:\Users\my_username\App... | {
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- [ ] closes #25408
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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```
In [3]: ser = pd.Series(range(10**5))
In [4]: key = range(100, 200)
In [5]: key2 = list(key)... | {
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d = pd.to_datetime(['2020-11-02', '2019-01-02', '2020-01-02', '2020-02-04', '2020-11-03', '2019-11-03', '2019-11-13', '2019-11-13'])
a = np.arange(len(d))
b = np.random.rand(len(d))
df = pd.DataFrame({'d': d, 'a': a, 'b': b})
t = df.groupby(['d', 'a'], sort=False).mean()
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The index of `t` is certa... | {
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```
import numpy as np
from pandas import *
%load_ext line_profiler
def get_df():
N = 10 ** 4
labels = np.random.randint(0, 2000, size=N)
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https://api.github.com/repos/pandas-dev/pandas/issues/32262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32262/events | https://github.com/pandas-dev/pandas/issues/32262 | 571,154,671 | MDU6SXNzdWU1NzExNTQ2NzE= | 32,262 | Rolling groupby should not maintain the by column in the resulting DataFrame | {
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```
import numpy as np
import pandas as pd
df = pd.DataFrame({'idx_L1': ['Level_1'] * 10 + ['Level_2'] * 10 + ['Level_3'] * 10,
'idx_L2': ([1] * 5 + [2] * 5 + [3] *... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32263/events | https://github.com/pandas-dev/pandas/issues/32263 | 571,183,062 | MDU6SXNzdWU1NzExODMwNjI= | 32,263 | bug: inconsistent Series indexing crash, depending on DataFrame index type?? | {
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```
if False:
df = pd.DataFrame({'app':['a', 'b', 'c', 'd', 'e'], 'sessionId':['1', '1', '2', '3', '3']},
index=['a1', 'a2', 'a3', 'a4', 'a5']) # this will not cause the last line to crash
else:
df = pd.DataFrame({'ap... | {
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... | open | false | null | [] | null | 4 | 2020-02-26T09:49:36Z | 2021-09-29T21:06:15Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
import numpy as np
value = np.str_('2019-02-04 10:18:46.297000+0000')
arr = [value]
s = pd.Series(arr)
pd.to_datetime(value) # good
pd.to_datetime(s.iloc[0]) # good
pd.to_datetime(arr[0]) # good
```
```python
pd.to_datetime(arr) # error
```
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https://api.github.com/repos/pandas-dev/pandas/issues/32266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32266/events | https://github.com/pandas-dev/pandas/issues/32266 | 571,226,261 | MDU6SXNzdWU1NzEyMjYyNjE= | 32,266 | Pandas 1.0.1 - .rolling().min() and .rolling().max() create memory leak at <__array_function__ internals>:6 | {
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```python
import tracemalloc, linecache
import sys, os
import pandas as pd
def display_top_mem(snapshot, key_type='lineno', limit=10):
"""function for displaying lines of code taking most memory"""
snapshot = snapshot.filter_traces((
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```python
import pandas as pd
df1 = pd.DataFrame({
'dt': pd.to_datetime(['2017-07-17 00:00:00', '2018-08-08 00:00:00']),
'dt_tz': pd.to_datetime(['2017-07-17 00:00:00', '2018-08-08 00:00:00'], utc=True),
'char': ['a', 'b'],
'num': [1, 2]
})
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Unary application of the `~` operator seems to operate bitwise on an underlying integer array rather than the expected negation of a boolean:
```python
>>> s = Series([True, False], dtype="boolean")
>>> ~s
0 -2
1 -1
dtype: o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32274 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32274/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32274/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32274/events | https://github.com/pandas-dev/pandas/pull/32274 | 571,564,526 | MDExOlB1bGxSZXF1ZXN0MzgwNDI5MTkx | 32,274 | TST: implement test_first | {
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1) They are just begging to be parametrized
2) We don't have a systematic way of naming/organizing tests that are for two specific methods rather than one specific method, which ... | {
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### Series as category
df = pd.Series(['a','a','b','c']).astype('category')
print(df.shift(1))
print(df)
print(df.shift(1) != df)
OUTPUT:
0 NaN
1 a
2 a
3 b
dtype: category
Categories (3, object): [a, b, c]
0 a
1 a
2 b
3 c
dtype: category
Categories ... | {
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```python
import pandas as pd
import numpy as np
import timeit
# data set up:
data_size = 1234
query_size = 10000
data_ndarray = np.random.randint(100000, size=data_size)
data_series = pd.Series(data_ndarray)
list_ = list(range(query_size))
range_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32278/events | https://github.com/pandas-dev/pandas/pull/32278 | 571,685,564 | MDExOlB1bGxSZXF1ZXN0MzgwNTI3NjE0 | 32,278 | CLN: Use defaultdict for minor optimization | {
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- [ ] closes #32209
- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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While we fix it (I don't have access to the settings, so can't check much), this prevents master from failing for the publishing of the dev docs to GitHub pages. | {
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- [x] tests added / passed
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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] | open | false | null | [] | null | 4 | 2020-02-27T01:18:58Z | 2020-02-29T03:13:15Z | null | MEMBER | null | @WillAyd and I got some good feedback regarding the tutorials @stijnvanhoey [created](https://pandas.io/docs/getting_started/intro_tutorials/index.html) while at the CZI EOSS Kickoff Meeting.
1. Generally more white space between pictures and texts/headers
(example image above): https://pandas.io/docs/getting_star... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
output of `python scripts/validate_docstrings.py pandas.Series.argmin`:
```
#####... | {
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```python
>>> import pandas as pd
>>> df = pd.DataFrame(data=[["abc", 123, True]])
>>> print(df)
0 1 2
0 abc 123 True
>>> print(df.dtypes)
0 object
1 int64
2 bool
dtype: object
>>> df = df.convert_dtypes()
>>> print(df)
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```python
import pandas as pd
categories = ['B', 'A', 'C']
a = pd.DataFrame({'x':categories})
a['y'] = 1
a['value'] = 1
a['x'] = a['x'].astype('category')
# the sort_values is important here to trigger the bug
b = a.copy().sort_values('x')
a['x'] = a['... | {
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- [ ] tests added / passed
- [ ] passes `black pandas`
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
EDIT
----
probably better/less invasive to make sure .groupby(, sort=False) returns an object where the index has codes which reflect the orderin... | {
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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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... | open | false | null | [] | null | 2 | 2020-02-27T13:00:32Z | 2020-06-02T13:36:03Z | null | MEMBER | null | Sample data
```python
>>> import pandas as pd
>>> pd.__version__ # on current master
'1.1.0.dev0+613.g97c0ce962'
>>> df = pd.DataFrame({'key': list('aaabbb'), 'value': [1, 2, 3, 3, 2, 1]})
>>> df
key value
0 a 1
1 a 2
2 a 3
3 b 3
4 b 2
5 b 1
```
Issue
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- [x] passes `black pandas`
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I am not familiar with contributing to the docs but I believe this is because the docstring of `to_numeric` ref... | {
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```python
import numpy as np
import pandas as pd
pd.DataFrame(np.random.random((4,3)), columns=['a','b','c'])
```
Generates
```
| | a | b | c |
|---+----------+-----------+----------|
| 0 | 0.87267 | 0.429153 | 0.545497 |
| 1 | 0.596757 | 0.811766 | 0.797137 |
| 2 | 0.175432... | {
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For what I see, when a build in the CI for a commit to master fails, only the user who triggered the action receives an alert (assuming the user has notifications enabled in [their settings](https://github.com/settings/notifications#github-actions-heading)).
I think for Travis and pipelines, some peop... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32302/events | https://github.com/pandas-dev/pandas/pull/32302 | 572,264,142 | MDExOlB1bGxSZXF1ZXN0MzgwOTk4Mjc4 | 32,302 | TYP: Groupby sum|prod|min|max|first|last methods | {
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* makes mypy know the signatures of the agg methods (``sum``, ``prod``, etc.) on Groupby
* gives the agg methods on Groupby objects a return type
This ensues that mypy and IDE's always know that the return type of e.g. ``df.groupby('a').sum()`` is a DataFrame, which is nice when chaining. | {
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I guess it's not as simple as the key content being incorrect, I guess it can... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32306 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32306/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32306/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32306/events | https://github.com/pandas-dev/pandas/issues/32306 | 572,281,163 | MDU6SXNzdWU1NzIyODExNjM= | 32,306 | Joining on a nullable column | {
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... | 13 | 2020-02-27T18:46:41Z | 2021-11-12T02:15:12Z | null | MEMBER | null | ```python
import pandas as pd
left = pd.DataFrame({"a": [1, 2, pd.NA]}, dtype="Int64")
right = pd.DataFrame({"b": [1, 2, pd.NA]}, dtype="Int64")
pd.merge(left, right, how="inner", left_on="a", right_on="b")
# a b
# 0 1 1
# 1 2 2
# 2 <NA> <NA>
```
(Above is from 1.0.1 and mast... | {
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The current https://pandas.io/ home page has 2 `Getting started` links:
<img width="1433" alt="Screen Shot 2020-02-27 at 10 56 32 AM" src="https://user-images.githubusercontent.com/10647082/75477029-7bf30000-5950-11ea-8fc5-d... | {
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] | closed | false | null | [] | null | 3 | 2020-02-27T19:18:24Z | 2020-03-11T22:15:21Z | 2020-03-11T22:15:21Z | MEMBER | null | Another piece of feedback from the CZI EOSS kickoff meeting that @WillAyd and I attended:
In https://pandas.io/docs/getting_started/index.html, we link to the following pages in the left side:
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- Hyperlinks `commit logs`
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- [ ] tests added / passed
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] | closed | false | null | [] | null | 3 | 2020-02-27T22:46:27Z | 2020-10-10T14:14:56Z | 2020-03-03T03:15:08Z | MEMBER | null | - [x] closes #31849
- [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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