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https://api.github.com/repos/pandas-dev/pandas/issues/21012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21012/events | https://github.com/pandas-dev/pandas/issues/21012 | 322,226,797 | MDU6SXNzdWUzMjIyMjY3OTc= | 21,012 | Iteration over DatetimeIndex stops at 10000 | {
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```python
import pandas as pd
num_index = pd.Index(range(20000))
hour_index = pd.date_range('2000-01-01', periods=20000, freq='H')
minute_index = pd.date_range('2000-01-01', periods=20000, freq='min')
a = 0
for i in num_index: # OK
a += 1
b = 0
for i in hour_index: # unexpectedly
... | {
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1) i have cython installed
2) i have visual C++ 14.0 build tools installed
But still, i am getting this annoying error its been week please help me here thanks
"Setup script exited with error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": h... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21014/events | https://github.com/pandas-dev/pandas/pull/21014 | 322,445,328 | MDExOlB1bGxSZXF1ZXN0MTg3NTc4MjY0 | 21,014 | BUG: Concatentation of TZ-aware dataframes | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-05-11T21:52:04Z | 2018-05-13T13:18:21Z | 2018-05-13T13:17:46Z | CONTRIBUTOR | null | closes #12396
closes #18447
supersedes #19327 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21015/events | https://github.com/pandas-dev/pandas/issues/21015 | 322,514,882 | MDU6SXNzdWUzMjI1MTQ4ODI= | 21,015 | BUG: error in concatting Series with numpy scalar / tuple names | {
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In [2]: s1 = pd.Series({'a': 1.5}, name=np.int64(190))
In [3]: s2 = pd.Series([], name=(43, 0))
In [4]: pd.concat([s1, s2])
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-4-5f754290d56c>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21016 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21016/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21016/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21016/events | https://github.com/pandas-dev/pandas/pull/21016 | 322,515,220 | MDExOlB1bGxSZXF1ZXN0MTg3NjIzNDI0 | 21,016 | BUG: .reset_index() should raise with an invalid level name (GH20925) | {
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"followers_url": "https://api.github.com/users/jr... | 8 | 2018-05-12T14:21:23Z | 2018-06-08T17:09:13Z | 2018-05-18T05:53:46Z | CONTRIBUTOR | null | #20925 Raises appropriate error for Series.reset_index(level_name, drop=True) when index is flat and an invalid level is supplied
- [x] closes #20925
- [x] tests added / passed
- [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/21017 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21017/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21017/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21017/events | https://github.com/pandas-dev/pandas/issues/21017 | 322,524,063 | MDU6SXNzdWUzMjI1MjQwNjM= | 21,017 | Standardize alternate spelling of "class" | {
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] | closed | false | null | [] | null | 13 | 2018-05-12T16:23:44Z | 2018-06-26T20:36:34Z | 2018-06-26T20:36:34Z | CONTRIBUTOR | null | I'd like to write `cls` instead of `klass` when creating a generic variable referring to a class object. Both are somewhat standard (mis)spellings across the Python community, but `cls` is a bit more popular, judging from my non-systematic survey.
Sadly, I think `klass` has some awkward cultural undertones, due to i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21018 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21018/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21018/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21018/events | https://github.com/pandas-dev/pandas/issues/21018 | 322,535,703 | MDU6SXNzdWUzMjI1MzU3MDM= | 21,018 | unique columns are shown as non-unique after dropping multi-index | {
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```python
df1 = pandas.DataFrame({'a':[1,2,3], 'b':[2,3,4]})
df2 = pandas.DataFrame({'c':[1,2,3], 'd':[2,3,4]})
dic = {'a':df1, 'b':df2}
c = pandas.concat(dic,axis=1)
c.columns = c.columns.droplevel()
print(c.columns[~c.columns.is_unique])
```
#### Prob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21019/events | https://github.com/pandas-dev/pandas/pull/21019 | 322,579,992 | MDExOlB1bGxSZXF1ZXN0MTg3NjYxNTMw | 21,019 | BUG: CategoricalIndex.searchsorted doesn't return a scalar if input was scalar | {
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"followers_url": "https://api.github... | 10 | 2018-05-13T09:51:10Z | 2018-11-18T22:29:55Z | 2018-11-18T22:29:55Z | MEMBER | null | `CategoricalIndex.searchsorted` returns the wrong shape for scalar input. Numpy arrays and all other index types return a scalar if the input is a scalar, but the `CategoricalIndex` does not
For example
```
>>> import numpy as np
>>> np.array([1, 2, 3]).searchsorted(1)
0
>>> np.array([1, 2, 3]).searchsorted([1]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21020 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21020/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21020/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21020/events | https://github.com/pandas-dev/pandas/issues/21020 | 322,595,231 | MDU6SXNzdWUzMjI1OTUyMzE= | 21,020 | Series[categorical] median raises, but DataFrame doesn't | {
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```python
In [3]: pd.DataFrame({"A": pd.Categorical([1, 2, 2, 2, 3])})
Out[3]:
A
0 1
1 2
2 2
3 2
4 3
In [4]: df = pd.DataFrame({"A": pd.Categorical([1, 2, 2, 2, 3])})
In [5]: df.median()
Out[5]:
A 2.0
dtype: float64
In [6]: df.A.median()
------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21021 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21021/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21021/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21021/events | https://github.com/pandas-dev/pandas/pull/21021 | 322,603,250 | MDExOlB1bGxSZXF1ZXN0MTg3Njc1NzQ2 | 21,021 | DOC: some cleanup of various whatsnew files | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-13T15:27:02Z | 2018-05-18T18:05:14Z | 2018-05-15T00:02:04Z | CONTRIBUTOR | null | Over time, various whatsnew text files have had some errors that caused parsing errors for sphinx/rst.
This PR cleans up various such bugs that have been causing wrong parsing output. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21022 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21022/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21022/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21022/events | https://github.com/pandas-dev/pandas/pull/21022 | 322,613,887 | MDExOlB1bGxSZXF1ZXN0MTg3NjgyMTcx | 21,022 | PERF: __contains__ method for Categorical | {
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This implementation is faster in best case situations than using .e.g.`any(Categorical.isin(key))` since we do not care about the complete array. Not sure if I need t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21023 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21023/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21023/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21023/events | https://github.com/pandas-dev/pandas/issues/21023 | 322,636,776 | MDU6SXNzdWUzMjI2MzY3NzY= | 21,023 | Feature: footer with aggregate function for pivoted dataframes | {
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It would be great to show aggregate values for pivot tables when exporting to CSV or Excel.
#### Expected Output
Something similar as in:
footer_func : {list of aggregation functions or single function}, optional
A function or list of functions for summarizing each data colum... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21024 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21024/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21024/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21024/events | https://github.com/pandas-dev/pandas/issues/21024 | 322,637,896 | MDU6SXNzdWUzMjI2Mzc4OTY= | 21,024 | v0.23.0rc2 Final - Download doesn't work | {
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```python
conda install -c conda-forge --label=rc pandas=0.23.0rc2
```
gives
```python
usage: conda [-h] [-V] command ...
conda: error: unrecognized arguments: --label=rc
```
error.
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https://api.github.com/repos/pandas-dev/pandas/issues/21025 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21025/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21025/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21025/events | https://github.com/pandas-dev/pandas/pull/21025 | 322,639,777 | MDExOlB1bGxSZXF1ZXN0MTg3Njk4MTgx | 21,025 | PERF: improved performance of CategoricalIndex.is_monotonic* | {
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- [x] whatsnew entry
```python
>>> n = 1000000
>>> ci = pd.CategoricalIndex(list('a' * n + 'b' * n + 'c' * n))
>>> %t ci.is_monotonic_increasing
22 ms # v0.22 and master
227 ns # this commit
```
There seem to be a few more like this, whe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21026/events | https://github.com/pandas-dev/pandas/pull/21026 | 322,640,971 | MDExOlB1bGxSZXF1ZXN0MTg3Njk4OTMy | 21,026 | DOC: updated the Series.str.rsplit and Series.str.split docstrings | {
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- [x] tests passed validate_docstrings.py
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] rendered document looks ok 'python make.py --single pandas.Series.str.rsplit' and 'python make.py --single pandas.Series.str.split'
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https://api.github.com/repos/pandas-dev/pandas/issues/21027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21027/events | https://github.com/pandas-dev/pandas/pull/21027 | 322,643,554 | MDExOlB1bGxSZXF1ZXN0MTg3NzAwNTI1 | 21,027 | BUG: Iteration over DatetimeIndex stops at chunksize (GH21012) | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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avoided using `yield` and changing DatetimeIndex itself into a iterator. @cbertinato 's advice was helpful. | {
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```python
df.to_csv('s' * 240 + '.csv')
---------------------------------------------------------------------------
IOError Traceback (most recent call last)
<ipython-input-60-8ab4f45083ab> in <module>()
----> 1 df.to_csv('s' * 240 + '.csv')
C:\ProgramDa... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2018-05-14T06:57:19Z | 2018-05-15T03:53:24Z | 2018-05-14T23:52:16Z | CONTRIBUTOR | null | Fixes bug GH19497 - previously, renaming an index with tuples changed its type (i.e. from Index to MultiIndex).
- [x] closes #19497
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/21030 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21030/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21030/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21030/events | https://github.com/pandas-dev/pandas/issues/21030 | 322,727,707 | MDU6SXNzdWUzMjI3Mjc3MDc= | 21,030 | Index changes during pandas.Dataframe.merge() | {
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Unresolved. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21031/events | https://github.com/pandas-dev/pandas/issues/21031 | 322,732,638 | MDU6SXNzdWUzMjI3MzI2Mzg= | 21,031 | Count Boolean values with .groupby() | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-05-14T09:13:32Z | 2018-05-14T12:26:20Z | 2018-05-14T12:26:05Z | CONTRIBUTOR | null | Take the following dataframe:
```
df = pd.DataFrame({'ID':[1,2,1,1,2,3,4,4,4],
'Litmus':[False,False,True,True,False,False,True,True,True]})
```
I want to count the conditional number of True values, that is, I want to count the number of True values for each ID.
This works fine:
`df.groupby... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21032 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21032/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21032/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21032/events | https://github.com/pandas-dev/pandas/issues/21032 | 322,760,067 | MDU6SXNzdWUzMjI3NjAwNjc= | 21,032 | Pandas read_excel uses blank column heading as index | {
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When using Pandas read_excel function with an Excel file that has a column heading that is blank, Pandas will regard the column with the blank heading as the index.
Consider this example file: [https://tinyurl.com/y8br2js4](test_file.xlsx)
Within this file, column B does not have a co... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21033 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21033/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21033/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21033/events | https://github.com/pandas-dev/pandas/pull/21033 | 322,792,953 | MDExOlB1bGxSZXF1ZXN0MTg3ODA5MTM0 | 21,033 | TST: add arithmetic operators fixture | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21034/events | https://github.com/pandas-dev/pandas/pull/21034 | 322,928,936 | MDExOlB1bGxSZXF1ZXN0MTg3OTExNzYy | 21,034 | DOC: Rephrased doc for Series.asof. Added examples | {
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"followers_url": "https://api.github... | 9 | 2018-05-14T18:26:18Z | 2018-11-12T13:22:21Z | 2018-11-04T15:01:16Z | CONTRIBUTOR | null | Used code from https://github.com/pandas-dev/pandas/issues/20652 as example, to illustrate different behaviours.
- [x] closes #20652
- [x] tests added / passed (N/A, docs)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21035/events | https://github.com/pandas-dev/pandas/issues/21035 | 322,929,341 | MDU6SXNzdWUzMjI5MjkzNDE= | 21,035 | Problem with filename "prn.csv" in pd.DataFrame.to_csv() | {
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```
import pandas as pd
pd.DataFrame().to_csv("prn.csv")
```
gives me the error:
`FileNotFoundError: [Errno 2] No such file or directory: 'prn.csv'`
**Problem description:**
I have a problem with the simple code above. A code like the following works fine
```
import pandas as pd
pd.Dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21036/events | https://github.com/pandas-dev/pandas/pull/21036 | 322,936,235 | MDExOlB1bGxSZXF1ZXN0MTg3OTE3MTUz | 21,036 | Warn on ndarray[int] // timedelta | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2018-05-14T18:47:31Z | 2019-12-05T15:53:26Z | 2018-05-15T10:01:33Z | CONTRIBUTOR | null | Closes #19761.
```python
In [2]: pd.DatetimeIndex(['1931', '1970', '2017']).view('i8') // pd.Timedelta(1, unit='s')
pandas-dev/bin/ipython:1: FutureWarning: Floor division between integer array and Timedelta is
deprecated. Use 'array // timedelta.value' instead.
Out[2]: array([-1230768000, 0, 148322... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21037/events | https://github.com/pandas-dev/pandas/issues/21037 | 322,953,971 | MDU6SXNzdWUzMjI5NTM5NzE= | 21,037 | raise warning when calling .interpolate(method='index') when Index is not sorted with ascending=True | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2018-05-14T19:43:53Z | 2019-12-03T22:36:37Z | 2019-12-03T22:36:37Z | CONTRIBUTOR | null | ```python
# define a Series to be used with interpolation to fill the NaN value
s = pd.Series(data=[10, 9, np.nan, 2, 1], index=[10,9,3,2,1])
# 10 10
# 9 9
# 3 nan
# 2 2
# 1 1
s.interpolate(method='index')
# returns the following; a 1 is used to fill the NaN which was not expected
# 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21038/events | https://github.com/pandas-dev/pandas/pull/21038 | 322,963,702 | MDExOlB1bGxSZXF1ZXN0MTg3OTM3NzMx | 21,038 | DOC: Enhancing pivot / reshape docs | {
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- [x] tests added / passed (NA Just Docs)
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Enhancing pivot / reshape docs
Added more examples and added Q + A section. | {
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- [x] tests passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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... | 6 | 2018-05-14T22:53:34Z | 2018-06-06T21:52:31Z | 2018-06-06T21:52:30Z | MEMBER | null | I've seen a few PRs here and there that come in with the good intention of updating docstrings but don't follow the pandas docstring guide. Part of the problem may be that we don't explicitly point to this in the contributing guide, referencing instead still the NumPy standard:
https://pandas.pydata.org/pandas-docs/... | {
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#### Problem description
When a Stata dataset writing to a `GzipFile`, the written dataset is all zero/blank.
I think the Pandas would ideally write out the correct information to the `GzipFile` Stata output, or if that's not an easy change, might consider raising an error when the user tries to write to a `GzipF... | {
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closes #20945
closes #21052
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This is a pretty dark corner and I'll admit that I don't fully understand all of the elements in play. That said, the first problem I noticed with the fi... | {
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```python
# First, convert the input dataframe to an R dataframe to be used by our R function:
input_dataframe_r = pandas2ri.py2ri(input_dataframe)
output_dataframe_r = r_generate_notifications(input_dataframe_r, metric_name, lookback, moving_average, sigmas)
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```python
import numpy as np
import datetime
import pandas as pd
#Creating a dataframe with timeseries
timenow = datetime.datetime.now()
timelater = timenow + datetime.timedelta(days = 1)
d = {'col1' : [timenow, timelater],'col2' : [1,2]}
dfTimeSeries ... | {
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] | closed | false | null | [] | null | 4 | 2018-05-15T07:54:51Z | 2020-08-09T16:23:23Z | 2020-08-09T16:23:23Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas
df = pandas.DataFrame(columns=['A', 'B'])
print(df.columns)
df = df.filter(items=['A', 'A', 'A'])
print(df.columns)
```
#### Problem description
Filtering a dataframe with a list which contains multiple times a column that is alr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21048/events | https://github.com/pandas-dev/pandas/issues/21048 | 323,152,699 | MDU6SXNzdWUzMjMxNTI2OTk= | 21,048 | Plotting: .hist() and .plot.hist() | {
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] | closed | false | null | [] | null | 1 | 2018-05-15T10:12:40Z | 2018-05-15T12:17:47Z | 2018-05-15T12:17:40Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
cols = ['heat_total', 'area_density', 'mean_n_floors',
'n_buildings', 'area_demand_density_grid', 'floor_demand_density']
plt.figure()
df[cols].plot.hist(
bins=20,
alpha=0.5
)
plt.figure()
df[cols].hist(
bins=20,
al... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21049 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21049/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21049/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21049/events | https://github.com/pandas-dev/pandas/issues/21049 | 323,160,886 | MDU6SXNzdWUzMjMxNjA4ODY= | 21,049 | BUG: `Series.shift` fails with non-writable array | {
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```python
import numpy as np
import pandas as pd
arr = np.empty(shape=(0,))
arr.setflags(write=0)
pd.Series(arr).shift(1)
```
will raise an Exception:
`ValueError: assignment destination is read-only`.
Update: all pandas versions from 0.16 to current master have this bug.
### Solution
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https://api.github.com/repos/pandas-dev/pandas/issues/21050 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21050/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21050/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21050/events | https://github.com/pandas-dev/pandas/issues/21050 | 323,188,157 | MDU6SXNzdWUzMjMxODgxNTc= | 21,050 | Release automation | {
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] | open | false | null | [] | null | 17 | 2018-05-15T12:05:19Z | 2020-10-19T19:21:12Z | null | CONTRIBUTOR | null | Tracking manual things here
- Date in header of `whatsnew/vX.X.X.txt` (use jinja?)
- Update to release.rst
- Tag & push
- doc build and upload
- ~~website build and upload~~ (web updates no longer part of release process)
- local Pip / conda tests
- Github Release
- conda-forge PR
- MacPython PR
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```python
import pandas as pd
mi = pd.MultiIndex.from_tuples([[2,2],[2,1],[1,2],[1,1]], names=list('AB'))
a = pd.Series([1,2,3,4], index=mi)
a.sort_index(level=0, sort_remaining=False)
```
returns:
```
A B
1 1 4
2 3
2 1 2
2 1
dty... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21053 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21053/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21053/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21053/events | https://github.com/pandas-dev/pandas/issues/21053 | 323,223,252 | MDU6SXNzdWUzMjMyMjMyNTI= | 21,053 | BUG: Series.str.cat(series) loses original name | {
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```python
In [6]: pd.Series(['a', 'b'], name='foo').str.cat(pd.Series(['a', 'b']), sep=':').name
Out[6]: 'foo'
```
master
```python
In [2]: pd.Series(['a', 'b'], name='foo').str.cat(pd.Series(['a', 'b']), sep=':').name
```
fixing now. | {
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cc @jreback @jorisvandenbossche @h-vetinari for a quick check if you have a chance. | {
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#### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
mi = pd.MultiIndex.from_tuples([[2,2],[2,1],[1,2],[1,1]], names=list('AB'))
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In [7]: df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
In [8]: df.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 2 entries, 0 to 1
Data columns (total 2 columns):
a 2 non-null int64
b 2 non-null int64
dtypes: int64(2)
memory usage: 112.0bytes
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21057 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21057/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21057/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21057/events | https://github.com/pandas-dev/pandas/pull/21057 | 323,254,669 | MDExOlB1bGxSZXF1ZXN0MTg4MTU2Mzc1 | 21,057 | Fixed space in small info | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-05-15T14:54:28Z | 2018-05-15T21:36:26Z | 2018-05-15T19:04:11Z | CONTRIBUTOR | null | Closes https://github.com/pandas-dev/pandas/issues/21056
ping @jreback @jorisvandenbossche
this should be the last failure that was picked up by dask's tests. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21058 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21058/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21058/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21058/events | https://github.com/pandas-dev/pandas/issues/21058 | 323,265,557 | MDU6SXNzdWUzMjMyNjU1NTc= | 21,058 | Nan in groupby gives a wrong behavior for cumsum() of ints contrary to floats | {
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... | open | false | null | [] | null | 0 | 2018-05-15T15:19:11Z | 2019-10-27T01:24:47Z | null | NONE | null | **Example :**
df = pd.DataFrame([[np.nan,0],[0,1]])
df.groupby(0)[1].cumsum()
**out:**
0 -1
1 1
which is incorrect
df = pd.DataFrame([[np.nan,0],[0.0,1.0]])
df.groupby(0)[1].cumsum()
**out:**
0 NaN
1 1.0
which is correct
#### Problem description
pandas version 0.22.0
when the aggregation key cont... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21059 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21059/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21059/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21059/events | https://github.com/pandas-dev/pandas/pull/21059 | 323,267,930 | MDExOlB1bGxSZXF1ZXN0MTg4MTY2NjIz | 21,059 | 0.22.x | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/21060 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21060/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21060/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21060/events | https://github.com/pandas-dev/pandas/pull/21060 | 323,268,006 | MDExOlB1bGxSZXF1ZXN0MTg4MTY2NjY4 | 21,060 | Add epoch alternative to deprecation message | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21061/events | https://github.com/pandas-dev/pandas/pull/21061 | 323,270,866 | MDExOlB1bGxSZXF1ZXN0MTg4MTY4ODYx | 21,061 | DOC: add highlights and toc to whatsnew file for 0.23.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21062 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21062/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21062/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21062/events | https://github.com/pandas-dev/pandas/pull/21062 | 323,285,537 | MDExOlB1bGxSZXF1ZXN0MTg4MTgwMTk4 | 21,062 | Pass sort for agg multiple | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21063/events | https://github.com/pandas-dev/pandas/issues/21063 | 323,286,434 | MDU6SXNzdWUzMjMyODY0MzQ= | 21,063 | segfault in DataFrame.apply with duplicate column names and multiple aggfuncs | {
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In [1]: import pandas as pd
In [2]: df = pd.DataFrame([['a', 'b'], ['c', 'd']], columns=['a', 'a'])
In [3]: df.agg(['min'])
Fatal Python error: Cannot recover from stack overflow.
```
This was present at least in 0.22.0. Haven't looked further. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21064/events | https://github.com/pandas-dev/pandas/issues/21064 | 323,308,313 | MDU6SXNzdWUzMjMzMDgzMTM= | 21,064 | BUG: to_records() fails for empty MultiIndex | {
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... | 2 | 2018-05-15T17:14:57Z | 2018-05-17T00:18:36Z | null | CONTRIBUTOR | null | Calling `to_records()` on an empty dataframe after a group-by results in a `ValueError`:
```python
In [1]: import pandas as pd
In [2]: mydf = pd.DataFrame({'A':[10,-10], 'B':[400,400], 'C':["bla","bla"]})
In [3]: new_pd2 = pd.DataFrame(mydf.groupby(['B','C'])['A'].agg(lambda x: x.sum()))
In [4]: new_pd3 = new_p... | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
```
################################################################################
################### Docstring (pandas.Timedelta.nanoseconds) ###################
#########... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21066/events | https://github.com/pandas-dev/pandas/pull/21066 | 323,332,671 | MDExOlB1bGxSZXF1ZXN0MTg4MjE2NTc0 | 21,066 | Prevent Unlimited Agg Recursion with Duplicate Col Names | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
The `_gotitem` implementation for `DataFrame` seems a little strange so there may be a more comprehensive approach, but this should prevent the issue for the time being
Didn'... | {
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#### Problem description
https://github.com/pandas-dev/pandas/blob/3147a86e1b20571766b488a8444c74cef29729ad/doc/source/whatsnew/v0.23.0.txt#L3
It should be 2018 not 2017 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21068/events | https://github.com/pandas-dev/pandas/issues/21068 | 323,437,838 | MDU6SXNzdWUzMjM0Mzc4Mzg= | 21,068 | Pandas indexing bug raises TypeError when slicing with categorical IntervalIndex | {
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"description": "Related to indexing on s... | open | false | null | [] | null | 6 | 2018-05-16T01:27:50Z | 2021-06-19T18:37:49Z | null | NONE | null | Pandas indexing should not rely on subnormal floats behavior inside categorical data. Please bit cast your floats to integers when computing categorical labels: https://github.com/pandas-dev/pandas/blob/648ca95af696266b18ded6bfc5327d0666e3ad23/pandas/core/indexes/interval.py#L56
The following is an example of intege... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21069/events | https://github.com/pandas-dev/pandas/pull/21069 | 323,446,610 | MDExOlB1bGxSZXF1ZXN0MTg4MzAyODU4 | 21,069 | DOC: Correct the date of whatsnew v0.23 #21067 | {
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- [x] tests added / passed (NA, just the DOC)
- [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/21070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21070/events | https://github.com/pandas-dev/pandas/issues/21070 | 323,449,017 | MDU6SXNzdWUzMjM0NDkwMTc= | 21,070 | Use meseeksdev for backporting | {
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I think @Carreau whitelisted the pandas org. | {
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In your shell:
```
$ python -OO -c 'import pandas'
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/Users/shoyer/miniconda3/envs/xarray-py36/lib/python3.6/site-packages/pandas/__init__.py", line 42, in <module>
from pan... | {
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```python
import pandas
import json
d = {'col1': [13342205958987758245, 12388075603347835679], 'col2': [13342204859476130034, 12388075603347835679]}
df = pandas.DataFrame(data=d)
print (df)
print (df.dtypes)
print ("--- to json output")
print (df.head(5).fillna('NULL').to_json(orient='sp... | {
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NA
#### Problem description
The file [pandas/io/formats/terminal.py](https://github.com/pandas-dev/pandas/blob/master/pandas/io/formats/terminal.py) contains source code taken from [stack overflow](https://stackoverflow.com/questions/566746/how-to-get-linux... | {
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I updated to version 0.23.0 and all of a sudden the following code breaks:
```python
import pandas as pd
df = pd.DataFrame(data={'date': list(pd.date_range('5.1.2018', '5.10.2018')),
'vals': list(range(10))})
df.groupby([df.date.dt.month, df.date.dt.day])['vals'].sum()
ValueError: D... | {
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Pandas this to_sql slow storage speed is not a good way, the amount of data per hour 140w now takes 10 minutes | {
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"followers_url": "https://api.github.com/users/jr... | 9 | 2018-05-16T11:17:03Z | 2018-05-17T20:55:14Z | 2018-05-17T20:55:14Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
pd.Series(['a', 'b', 'c']).replace('a', 'x')
```
#### Problem description
This raises the following error:
> TypeError: Type aliases cannot be used with isinstance().
This behavior is exclusive to the new **version 0.23**. Previous versions ... | {
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... | 0 | 2018-05-16T11:21:36Z | 2018-06-07T13:20:33Z | 2018-06-07T13:20:33Z | CONTRIBUTOR | null | http://sphinxcontrib-spelling.readthedocs.io/en/latest/run.html
Saw this in Carol Willing's talk on Sphinx: https://www.youtube.com/watch?v=0ROZRNZkPS8
We'll want to
- add the extension
- build a wordlist of exceptions
- fix the currently failing items
- fail the doc build when there are exceptions | {
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```
In [24]: df = pd.DataFrame({"a": [1, 2], "b": [3, 4]}, index=pd.Index([1, 2], name='a'))
In [25]: df.sort_values(['a', 'b'])
/Users/taugspurger/.virtualenvs/pandas-dev/bin/ipython:1: FutureWarning: 'a' is both an index level and a column label.
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```
In [24]: df = pd.DataFrame({"a": [1, 2], "b": [3, 4]}, index=pd.Index([1, 2], name='a'))
In [25]: df.sort_values(['a', 'b'])
/Users/taugspurger/.virtualenvs/pandas-dev/bin/ipython:1: FutureWarning: 'a' is both an index level and a column label.
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"de... | closed | false | null | [] | null | 5 | 2018-05-16T12:10:05Z | 2018-12-03T01:43:49Z | 2018-12-03T01:43:49Z | CONTRIBUTOR | null | - [x] closes #21064
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This fixes the bug that prevents using `to_records` on an empty dataframe that has a MultiIndex
`self.index.values` returns an empty array (no tuples) for an empty MultiIndex... | {
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```python
>>> df = pd.DataFrame({'data': ['x', None]}, dtype=str)
>>> df['data'].tolist()
['x', None]
```
In Pandas 0.23.0:
```python
>>> df = pd.DataFrame({'data': ['x', None]}, dtype=str)
>>> df['data'].tolist()
['x', 'None']
```
```python
>>> pd.show_versions()
INSTALLED VERSI... | {
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] | closed | false | null | [] | null | 1 | 2018-05-16T15:11:29Z | 2018-05-16T15:29:03Z | 2018-05-16T15:29:03Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
```
#### Problem description
when I uprade the version 0.23.0,just raise this error
#### Expected Output
Traceback (most recent call last):
File "/Users/funny/Documents/AIML/Asywaimai.py", line 1, in <module>
imp... | {
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```python
import pandas as pd
mi = pd.MultiIndex.from_tuples([['b','d'],['b','c'],['b','c'],['a','c']], names=list('AB'))
mi = mi.set_levels(pd.CategoricalIndex(mi.levels[0], categories=['b','a']), level='A')
df = pd.DataFrame([[1,1,1,1],[1,1,1,1]], columns=m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21086 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21086/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21086/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21086/events | https://github.com/pandas-dev/pandas/issues/21086 | 323,700,357 | MDU6SXNzdWUzMjM3MDAzNTc= | 21,086 | Any chance of a 32-bit manylinux wheel for 0.23 / Python 3.5? | {
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... | closed | false | null | [] | null | 2 | 2018-05-16T16:40:56Z | 2018-09-05T14:29:00Z | 2018-09-05T14:29:00Z | CONTRIBUTOR | null | When building statsmodels wheels, I noticed there is no manylinux wheel for Python 3.5 / 32-bit - although there is for Python 3.6. I guess this is just oversight? Any chance of building / uploading one? | {
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"descript... | open | false | null | [] | null | 0 | 2018-05-16T16:49:54Z | 2021-06-19T18:40:44Z | null | NONE | null | Using pandas version 0.22 I would like to escape special characters in the output tsv as outputted by:
df.to_csv( outFn, sep='\t', escapechar='\\', quoting=csv.QUOTE_NONE, encoding='utf-8')
But I don't like the current escaping, which just puts a "\\" in front of the special char, I rather prefer the special char b... | {
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```python
import pandas as pd
df = pd.DataFrame({'a': [None, None]})
df.eval('a + a', engine='python')
"""
>>> df.eval('a + a', engine='python')
0 NaN
1 NaN
Name: a, dtype: object
"""
# Results in RecursionError
df.eval('a + a', engine='num... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21089/events | https://github.com/pandas-dev/pandas/issues/21089 | 323,711,993 | MDU6SXNzdWUzMjM3MTE5OTM= | 21,089 | Msgpack round trip changes duplicated() behavior for NaN's | {
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```python
o = pd.Series(['test', np.nan, np.nan])
print 'Original has dupes: ', o.duplicated().any()
# Save and reload via msgpack
o.to_msgpack('/tmp/test.msgpack')
r = pd.read_msgpack('/tmp/test.msgpack')
print 'Reloaded has dupes: ', r.duplicated().an... | {
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I have the following code
```python
import pandas as pd
print(pd.__version__) # 0.22
df = pd.DataFrame(
{'A': ['Jane', 'Jane', 'Charles', 'Charles'],
'B': ['red', 'blue', 'green', 'green']})
# here I would like to group by one of the columns (A in this case), and aggregate the o... | {
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```python
In [2]: s = pd.Series(range(4), name='foo', index=pd.MultiIndex.from_product([[0, 1]]*2, names=['a', 'b']))
In [3]: s.reset_index([0, 'a'])
Out[3]:
a foo
0 0 0
1 0 1
2 1 2
3 1 3
In [4]: s.reset_index([0, 'b'])
Out[4]: ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
* tests added for `check_categorical` parameter in `assert_series_equal`
* cleaned up `assert_categorical_equal` parameter order and docstring to match other functions (`obj` ... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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... | 4 | 2018-05-16T21:40:12Z | 2020-01-02T00:41:52Z | 2020-01-02T00:41:51Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
import collections
from IPython import display
df = pd.DataFrame({'bar': [1], 'foo': [(2, 3, 2)],})
x = pd.concat([df, df])
x = x.set_index(['bar', 'foo'])
x.sort_index(inplace=True)
display.display(x)
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https://api.github.com/repos/pandas-dev/pandas/issues/21095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21095/events | https://github.com/pandas-dev/pandas/issues/21095 | 323,852,274 | MDU6SXNzdWUzMjM4NTIyNzQ= | 21,095 | Table headers misaligned with to_string(index=False) | {
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```python
>>> foo = pd.DataFrame({"A":["One","Three","Four"], "B": range(3)})
>>> print(foo.to_string())
A B
0 One 0
1 Three 1
2 Four 2
>>> print(foo.to_string(index=False))
A B
One 0
Three 1
Four 2
```
#### Problem descriptio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21096 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21096/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21096/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21096/events | https://github.com/pandas-dev/pandas/issues/21096 | 323,858,364 | MDU6SXNzdWUzMjM4NTgzNjQ= | 21,096 | regression in 0.23.0 on rolling max with DatetimeIndex. | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2018-05-17T03:19:03Z | 2019-11-25T22:50:54Z | 2019-11-25T22:50:54Z | CONTRIBUTOR | null | Behaviour of .rolling() with datetimeindex appears to have changed or regressed between 0.22 & 0.23 versions of pandas.
See below for cut-down test case exhibiting behaviour.
Also see below for different output produced on same code on same data with 2 different pandas versions.
```python
import numpy as np
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21097 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21097/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21097/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21097/events | https://github.com/pandas-dev/pandas/issues/21097 | 323,863,440 | MDU6SXNzdWUzMjM4NjM0NDA= | 21,097 | Categorical `fillna` with custom objects raises TypeError | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-17T03:52:59Z | 2018-05-28T21:57:57Z | 2018-05-28T21:57:57Z | MEMBER | null | This behavior appears new in 0.23.0.
Setup copied from #21002:
```
from pandas.core.base import StringMixin
class County(StringMixin):
name = u'San Sebastián'
state = u'PR'
def __unicode__(self):
return self.name + u', ' + self.state
cat = pd.Categorical([County() for n in range(61)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21098 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21098/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21098/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21098/events | https://github.com/pandas-dev/pandas/pull/21098 | 323,864,757 | MDExOlB1bGxSZXF1ZXN0MTg4NjE4MDg5 | 21,098 | BUG: type aliasing is not allowed to be compared using isinstance() | {
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"followers_url": "https://api.github.com/users/jr... | 8 | 2018-05-17T04:02:09Z | 2018-05-19T23:47:10Z | 2018-05-17T20:55:14Z | CONTRIBUTOR | null | - [X] closes #21078
- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
As raised in #21078, Python 3.5.4 supports the using `isinstance()` with `typing.re.Pattern` But it does not support the same method in 3.5.2.
``` Python
Python 3.5.2 (defau... | {
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... | 5 | 2018-05-17T08:01:21Z | 2018-11-14T16:56:48Z | 2018-11-14T00:35:58Z | NONE | null | When using `read_excel` to read excel files, I have to install `xlrd.`
`read_excel` has parameter `engine,` but its value only can be `None` or `xlrd.`
`ExcelWrite` can use `openpyxl` as `engine.`
Why we cannot use `openpyxl` to read excel files in `pandas`? Or whether I can or not? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21100 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21100/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21100/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21100/events | https://github.com/pandas-dev/pandas/issues/21100 | 323,953,249 | MDU6SXNzdWUzMjM5NTMyNDk= | 21,100 | Wrong documentation about PyTables threading support | {
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[Threading PyTables documentation](http://www.pytables.org/cookbook/threading.html) says that both reading and writing concurrent operations ... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-17T12:31:03Z | 2018-06-07T21:21:09Z | 2018-06-07T21:21:09Z | CONTRIBUTOR | null | #### Problem description
Pandas 0.23.0 adds a new warning when calling `concat` with misaligned axes (#20613):
```
FutureWarning: Sorting because non-concatenation axis is not aligned. A future version
of pandas will change to not sort by default.
To accept the future behavior, pass 'sort=True'.
To retain... | {
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cc @WillAyd
Maybe #21066 was related? Not sure how though. Looking now. | {
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```python
#let's import packages to use
import numpy as np
import pandas as pd
from sqlalchemy import create_engine
# #use pandas to import data
df = pd.DataFrame(np.arange(0,20000,1))
#create the engine to connect pandas with sqlite3
engine = create_engine('sqlite://')
#create connection
conn = engin... | {
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With Version 0.23 of pandas, the function .to_clipboard(), with the option excel=True no longer produces a copy of the dataframe which is Excel friendly when pasting the data into an Excel worksheet. All the data comes into a single column in the Excel workbook. Previously, the data would ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21105/events | https://github.com/pandas-dev/pandas/pull/21105 | 324,090,107 | MDExOlB1bGxSZXF1ZXN0MTg4Nzg4MzYy | 21,105 | Replaced open with Context Mgrs in Parser Tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21106/events | https://github.com/pandas-dev/pandas/issues/21106 | 324,121,751 | MDU6SXNzdWUzMjQxMjE3NTE= | 21,106 | Pandas 0.23.0 gives ImportError: DLL load failed | {
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```
ImportError: DLL load failed: The specified module could not be found.
```
As far as we know, this happens if you install with pip on Windows 32bit machines (if you have another case, please comment below with specifying your OS, Python version, how you installed pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21107/events | https://github.com/pandas-dev/pandas/pull/21107 | 324,150,808 | MDExOlB1bGxSZXF1ZXN0MTg4ODM0NzYz | 21,107 | PERF: Improve performance of CategoricalIndex.is_unique | {
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"followers_url": "https://api.github.com/users/jr... | 10 | 2018-05-17T19:14:55Z | 2018-10-27T08:16:21Z | 2018-06-04T21:43:17Z | CONTRIBUTOR | null | ``CategoricalIndex.is_unique`` creates an extraneous boolean array. By changing ``CategoricalIndex.is_unique`` to use ``CategoricalIndex._engine.is_unique`` instead, this array creation is avoided. We simultaneously get to set ``is_monotonic*`` for free, and therefore will save time, if that property is called later.
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https://api.github.com/repos/pandas-dev/pandas/issues/21108 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21108/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21108/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21108/events | https://github.com/pandas-dev/pandas/issues/21108 | 324,164,582 | MDU6SXNzdWUzMjQxNjQ1ODI= | 21,108 | pd.concat() changes index values from int to boolean | {
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```python
import pandas as pd
df1 = pd.DataFrame([123, 456], columns=['data'], index=[True, False])
# data
# True 123
# False 456
df2 = pd.DataFrame([55, 983, 69, 112, 0], columns=['data'], index=[1, 2, 3, 4, 99])
# data
# 1 55
# 2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21109 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21109/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21109/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21109/events | https://github.com/pandas-dev/pandas/pull/21109 | 324,182,009 | MDExOlB1bGxSZXF1ZXN0MTg4ODU4MzUy | 21,109 | DOC: Add sphinx spelling extension | {
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"followers_url": "https://api.github... | 24 | 2018-05-17T20:53:32Z | 2018-06-12T07:58:06Z | 2018-06-07T13:20:33Z | CONTRIBUTOR | null | This is my first time contributing to a project this big so I hope everything is okay
I am still working on fixing bugs and polishing a few things but here is what I have done so far:
- fixed typos
- updated a wordlist txt file with words to be ignored by the spellchecker
- added the spellcheck method to the Doc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21110/events | https://github.com/pandas-dev/pandas/pull/21110 | 324,209,823 | MDExOlB1bGxSZXF1ZXN0MTg4ODc5MzY0 | 21,110 | PERF: Speedup in printing DataFrames of long strings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21111/events | https://github.com/pandas-dev/pandas/pull/21111 | 324,218,040 | MDExOlB1bGxSZXF1ZXN0MTg4ODg1NjE1 | 21,111 | BUG: to_clipboard fails to format output for Excel | {
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This issue originated in https://github.com/pandas-dev/pandas/commit/e1d5a2738235fec22f3cfad4814e09e3e3786f8c#diff-3f25860d9237143c1952a1f93c3aae18R102
which I've partially reverte... | {
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