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https://api.github.com/repos/pandas-dev/pandas/issues/33217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33217/events | https://github.com/pandas-dev/pandas/pull/33217 | 592,142,053 | MDExOlB1bGxSZXF1ZXN0Mzk3MTgwOTYx | 33,217 | BUG: Block.setitem GH#32395 | {
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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 deprecated the squeeze keyword. I think I got every points this keyword was used.
I hope that I considered every point necessary to deprecate a ... | {
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```python
>>> idx = pd.date_range(start='2019-12-29', freq='D', periods=4)
>>> idx.isocalendar
year week day
0 2019 52 7
1 2020 1 1
2 2020 ... | {
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gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -fno-semantic-interposition -march=x86-64 -mtune=generic -O3 -pipe -fno-plt -march=x... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33226/events | https://github.com/pandas-dev/pandas/pull/33226 | 592,248,958 | MDExOlB1bGxSZXF1ZXN0Mzk3MjY5NjQ0 | 33,226 | Fix typos in 09_timeseries.rst | {
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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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I'd actually prefer to not have the _NS_DTYPE and _TD_DTYPE objects and just use the pertinent strings, but if we are going to use the objects, might as well de-code-smell them. | {
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Instead just localized this to the one test that covers it for now | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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#### Code Sample:
```python
import pandas as pd
import numpy as np
df1 = pd.DataFrame({'lkey': [0, np.nan, np.nan, 3], 'value': [1, 2, 3, 5]})
>>> df1
lkey value
0 0.0 1
1 NaN ... | {
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- [X] tests added / passed tests.io.excel.test_reader_spaces
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` (I had to use git diff master though)
- [ ] whatsnew entry. It's only a bug fix does it need a whatsnew?
I'm not sure how you make xlsx... | {
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```python
import pandas as pd
df=pd.DataFrame({
"KEY1": ["KEY1"],
"KEY2": ["KEY2"],
"INT64": [1583715738627261039]
})
# Grouping by one column produces correct output
print(df.groupby(["KEY1"]).agg(lambda x: x))
# Grouping by more than ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33235/events | https://github.com/pandas-dev/pandas/pull/33235 | 592,575,885 | MDExOlB1bGxSZXF1ZXN0Mzk3NTMyODMz | 33,235 | TST: Use try/except block to properly catch and handle the exception | {
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- [x] closes #32951
- [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/33236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33236/events | https://github.com/pandas-dev/pandas/pull/33236 | 592,598,105 | MDExOlB1bGxSZXF1ZXN0Mzk3NTUxMDk2 | 33,236 | ENH: provide standard BaseIndexers in pandas.api.indexers | {
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- [X] 1 test modified / 1 passed
- [X] passes `black pandas`
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
This PR adds a forward-looking `pandas.api.indexers.BaseIndexer` subclass implementation and exposes it to users as discussed in #33180 .
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TLDR; Pandas warning is confusing since it recommends what seems to cause the warning.
```python
# run this in one cell of a freshly started Jupyterlab Notebook
# the warning is shown once, to see it again, restart the kernel
import pandas a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33238/events | https://github.com/pandas-dev/pandas/issues/33238 | 592,668,540 | MDU6SXNzdWU1OTI2Njg1NDA= | 33,238 | CI/COMPAT: Linux py37_np_dev pipeline timeouts | {
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Linux py37_np_dev pipeline appears to timeout for everyone after 60 minutes.
There are a couple hundred thousand errors like this:
```
Exception ignored in: 'pandas.io.sas._sas.Parser.process_byte_array_with_data'
DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
Depr... | {
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I opened an issue on the Cython side as well https://github.com/cython/cython/issues/3474
There's a rabbit hole of conversation with this going back to CPython . This may just be a temporary issue... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33240 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33240/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33240/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33240/events | https://github.com/pandas-dev/pandas/pull/33240 | 592,799,858 | MDExOlB1bGxSZXF1ZXN0Mzk3NzEyODM5 | 33,240 | CLN: remove Block.merge | {
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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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```python
import pandas as pd
df = pd.DataFrame({'a': [1,2,3,4,5,6],
'b': [1,1,0,1,1,0],
'c': ['x','x','x','z','z','z'],
'd': ['s','s','s','d','d','d']})
def myprint2(x, y):
print(x)
df.groupby(['c'])[['a', 'b']].agg(myprint2, 0)
```
#### P... | {
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`Categorical.values_for_rank` exists pretty much to solve this problem for rank and va... | {
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Will also make a PR in https://github.com/MacPython/pandas-wheels to add the DLLs to the wheel packaging script | {
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The aggregate function *lost* the results of the aggregate operation, if the ```as_index=False``` flag was set and one of the result columns is rela... | {
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- Dispatch DatetimeBlock.to_native_types to DatetimeArray._format_native_types (identical behavior
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This allows us to make TimedeltaBlock.to_native_types dispatch to TimedeltaArray._format_native_types. ATM TDBlock.to_native_types has a comment
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```python
# -*- coding: UTF-8 -*-
import pandas as pd
import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
hoje = datetime.datetime.now()
data = hoje.strftime("%Y%m%d")
dados_url = 'https://covid.saude.gov.br/assets/files/COVID19_'+data+'.csv'
try:
print(dad... | {
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In general, when doing certain things column-wise, we often just need the arrays (eg to calculate a reduction, to check the dtype, ..), and creating Series gives unnecessary overhea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33253/events | https://github.com/pandas-dev/pandas/issues/33253 | 593,213,498 | MDU6SXNzdWU1OTMyMTM0OTg= | 33,253 | BUG: BooleanArray.any with all False values and skipna=False is buggy | {
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```
In [10]: a = pd.array([False, False], dtype="boolean")
In [11]: a
Out[11]:
<BooleanArray>
[False, False]
Length: 2, dtype: boolean
In [12]: a.any()
Out[12]: False
In [13]: a.any(skipna=False)
Out[13]: <NA>
```
I don't think there is a reaso... | {
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"description": "E... | open | false | null | [] | null | 15 | 2020-04-03T09:41:00Z | 2020-12-04T21:08:49Z | null | MEMBER | null | Copying part of the discussion out of https://github.com/pandas-dev/pandas/issues/32586 into a more specific issue.
Problem statement: currently, `_from_sequence` is not very explicit in what it should accept as scalars. In practice, this means that it is mostly very liberal, as it is also used under the hood when c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33255/events | https://github.com/pandas-dev/pandas/issues/33255 | 593,257,899 | MDU6SXNzdWU1OTMyNTc4OTk= | 33,255 | BUG: Cant access some `TimedeltaProperties` components directly | {
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---
#### Note:
I'm using "hours" here for the examples, but this applies to
- hours
- minutes
- milliseconds
---
#### Short explanation:
Not all components are exposed directly:
Example:
```
In [1]: import pandas a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33256/events | https://github.com/pandas-dev/pandas/issues/33256 | 593,299,194 | MDU6SXNzdWU1OTMyOTkxOTQ= | 33,256 | REGR: DataFrame.mean(numeric_only=True) raises AttributeError on v1.0.3 | {
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"followers_url": "https://api.github.c... | 5 | 2020-04-03T10:59:48Z | 2020-05-26T09:36:15Z | 2020-05-01T18:19:11Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
>>> import numpy as np
>>>
>>> import pandas as pd
>>>
>>> pd.__version__
'1.0.3'
>>>
>>> df_wide = pd.DataFrame(np.random.randint(1000, size=(1000, 100))).astype("Int64").copy()
>>>
>>> df_wide.mean(numeric_only=True)
Traceback (most recent ... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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---
This does not changes anything, just moving things around, to make it more manageable (IMO)
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] | closed | false | null | [] | null | 3 | 2020-04-03T11:12:28Z | 2020-04-03T12:03:44Z | 2020-04-03T11:17:54Z | NONE | null | dear pandas-dev,
I am writing this to yo because I have facing problem with pandas lib to use it with python 3.8,
when I try to import pandas its shows error, please check attachment for more details.
Thanks.
=========================================================
error message
===============================... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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---
I can also add examples that would cover, ````TimedeltaProperties``` and ```Peri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33260/events | https://github.com/pandas-dev/pandas/pull/33260 | 593,404,350 | MDExOlB1bGxSZXF1ZXN0Mzk4MTkxODkz | 33,260 | DOC: Fixed examples in `pandas/core/accessor.py` | {
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This is what the docs looks like:
Before:
After:
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https://api.github.com/repos/pandas-dev/pandas/issues/33261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33261/events | https://github.com/pandas-dev/pandas/pull/33261 | 593,446,874 | MDExOlB1bGxSZXF1ZXN0Mzk4MjI2NTc0 | 33,261 | PERF: masked ops for reductions (min/max) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33262/events | https://github.com/pandas-dev/pandas/pull/33262 | 593,488,868 | MDExOlB1bGxSZXF1ZXN0Mzk4MjYwOTMx | 33,262 | TST: don't assert that matplotlib rejects shorthand hex colors | {
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[Test failure log](https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=954647) (from Debian's pandas 0.25, so includes other issues we don't now have - this one is DID NOT RAISE). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33264/events | https://github.com/pandas-dev/pandas/issues/33264 | 593,528,359 | MDU6SXNzdWU1OTM1MjgzNTk= | 33,264 | Append Mode for ExcelWriter with "xlsxwriter" | {
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ExcelWriter's append mode doesn't work when setting default xlsxwriter. To use append mode, I have to set the engine openpyxl. I think it is inconvenient and slow. So I suggest ExcelWriter can be set as append mode when default (xlsxwriter).
**Sample Code**
**AS-IS**
```python
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https://api.github.com/repos/pandas-dev/pandas/issues/33266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33266/events | https://github.com/pandas-dev/pandas/pull/33266 | 593,554,464 | MDExOlB1bGxSZXF1ZXN0Mzk4MzE1MjIz | 33,266 | DOC: Fixed examples in `pandas/core/window` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33267/events | https://github.com/pandas-dev/pandas/pull/33267 | 593,561,596 | MDExOlB1bGxSZXF1ZXN0Mzk4MzIxMTE2 | 33,267 | TST: add DataFrame test for construct from tuple case from GH-32776 | {
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Assuming Jupyter notebook environment
```bash
!pip install rpy2
```
```python
%load_ext rpy2.ipython
from pandas import *
characters= = Series(['a', 'b'], dtype=StringDtype())
%R -i characters
```
Leads to an error in rpy2:
```
AttributeError: 'StringDtype' object has no attribut... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33271/events | https://github.com/pandas-dev/pandas/pull/33271 | 593,594,576 | MDExOlB1bGxSZXF1ZXN0Mzk4MzQ4MDQz | 33,271 | CLN: Added static types _libs/algos | {
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- [ ] tests added / passed
- [x] passes `black pandas`
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https://api.github.com/repos/pandas-dev/pandas/issues/33272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33272/events | https://github.com/pandas-dev/pandas/issues/33272 | 593,600,088 | MDU6SXNzdWU1OTM2MDAwODg= | 33,272 | HUH?: DataFrame[categorical].replace | {
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i.e. AFAICT we are doing gymna... | {
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"followers_url": "https://api.github.com/users/j... | 16 | 2020-04-03T19:58:08Z | 2020-04-06T22:04:50Z | 2020-04-06T22:04:41Z | CONTRIBUTOR | null | This passes `method` everywhere we use `__finalize__`. I'm trying to get a better sense for
1. When we call finalize (and when we fail too)
2. When we finalize multiple times
3. The overhead of finalize
I haven't called it anywhere new yet (followup PR with that coming though). | {
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```sh
pandas/core/groupby/base.py:32: error: "GroupByMixin" has no attribute "obj"
pandas/core/groupby/base.py:36: error: "GroupByMixin" has no attribute "_attributes"
pandas/core/groupby/base.py:40: error: "... | {
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Makes DataFrame.replace on Categorical behave like Series.replace. | {
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Related to #27977.
output of `python scripts/validate_docstrings.py pandas.Series.clip and pandas.DataFrame.clip`:
```
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Related to #27977.
```
################################################################################
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I added "not self._mask.any()" to check if there is no missing value for both .any() and .all() when skipna is False. It looks fine for the example ... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
#### Code Sample, a copy-pastable example
```python
import pandas as pd
pd.Index(['10607... | {
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- [ ] closes #xxxx
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Some cleanup resulting from PR #32894. In order to get SeriesGroupBy._transform_fast to realize self.obj is a Series, it seemed I needed to add a g... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] I have confirmed this bug exists on the master branch of pandas.
#### Code Sample, a copy-pastable example
```python
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The fixture this implements in the datetimelike tests can be used in a follow-up to clean up those tests a bit | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
```python
import numpy as np
import... | {
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https://github.com/pandas-dev/pandas/issues?page=1&q=is%3Aopen+is%3Aissue+label%3ARegression
Is there any that warrant a 1.0.4 release?
@pandas-dev/pandas-core | {
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.
---
**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28... | {
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I will leave it to the pandas team to decide whether to put in there a BibTeX entry with the concept DOI or a specific version, some options of dealing with this are described [in this comment](https://github.com/sherpa/sherpa/pull/634#issuecomment-553668211).
Note how [thi... | {
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- [x] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
#### Code Sample, a copy-pastable example
With `pyarrow<0.13` installed,
```p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/33314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33314/events | https://github.com/pandas-dev/pandas/issues/33314 | 594,983,166 | MDU6SXNzdWU1OTQ5ODMxNjY= | 33,314 | BUG: clang-9: error: -Wl,-export_dynamic: 'linker' input unused (OSX) | {
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- [ ] I have confirmed this bug exists on the latest version of pandas.
- [x] (optional) I have confirmed this bug exists on the master branch of pandas.
---
### conda environment
```
conda create -n pandas-compile-test compilers numpy ... | {
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- [ ] tests added / passed
- [x] passes `black pandas`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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