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https://api.github.com/repos/pandas-dev/pandas/issues/21112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21112/events | https://github.com/pandas-dev/pandas/issues/21112 | 324,221,308 | MDU6SXNzdWUzMjQyMjEzMDg= | 21,112 | "Concatenation will no longer sort" wording is very inconsistent | {
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In a future version of pandas `pandas.concat()` will no longer sort the non-concatenation axis when it is not already aligned. (...)
To keep the previous behavior (sorting) and silence the warning, pass `sort=True`.
**To accept the future behavior (no sorting... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21113/events | https://github.com/pandas-dev/pandas/issues/21113 | 324,264,745 | MDU6SXNzdWUzMjQyNjQ3NDU= | 21,113 | incorrect len(groupby) returned from pandas versions 0.17.X to 0.23 | {
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"description": "Memory or execu... | open | false | null | [] | null | 2 | 2018-05-18T04:15:04Z | 2018-05-21T08:09:47Z | null | NONE | null | #### Code Sample
```python
import pandas as pd
import numpy as np
import time as time
def test_len_of_groupby(group_labels, size=30000):
random_cat1 = np.repeat(group_labels[0], size)
random_cat2 = np.repeat(group_labels[1], size)
df = pd.DataFrame({'A': random_cat1, 'B': random_cat2})
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21114 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21114/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21114/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21114/events | https://github.com/pandas-dev/pandas/pull/21114 | 324,268,609 | MDExOlB1bGxSZXF1ZXN0MTg4OTIwNDc0 | 21,114 | DOC: Add linspace range behavior to the timeseries/timedeltas/interval docs | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-18T04:43:06Z | 2018-06-22T17:14:57Z | 2018-05-22T07:15:04Z | MEMBER | null | Follow-up to #21009
`timeseries.rst`:
- Added documentation for linspace behavior of `date_range`
`timedeltas.rst`:
- Cleaned up `timedelta_range` documentation for the standard behavior
- Added documentation for linspace behavior of `timedelta_range`
`advanced.rst`:
- Added documentation for the standard ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21115 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21115/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21115/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21115/events | https://github.com/pandas-dev/pandas/issues/21115 | 324,283,112 | MDU6SXNzdWUzMjQyODMxMTI= | 21,115 | API: implement droplevels() for flat index | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-18T06:15:15Z | 2018-05-21T23:13:49Z | 2018-05-21T23:13:49Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: pd.Index([1, 2, 3]).droplevel([])
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-9172aa27c42a> in <module>()
----> 1 p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21116 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21116/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21116/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21116/events | https://github.com/pandas-dev/pandas/pull/21116 | 324,313,646 | MDExOlB1bGxSZXF1ZXN0MTg4OTUyNjU3 | 21,116 | Idx droplevel | {
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"followers_url": "https://api.github... | 14 | 2018-05-18T08:18:02Z | 2018-06-29T08:41:52Z | 2018-05-21T23:13:49Z | MEMBER | null | - [x] closes #21115
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Collateral change: if ``mi`` is a ``MultiIndex``, ``mi.droplevel([])`` will now return ``mi`` itself, not a copy of it. Given that these are immutable objects, seems OK to me - ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21117 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21117/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21117/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21117/events | https://github.com/pandas-dev/pandas/issues/21117 | 324,381,659 | MDU6SXNzdWUzMjQzODE2NTk= | 21,117 | Unable to do calculations with categorical dtypes | {
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df = pd.DataFrame({'a':[1,2,3,2,1,3,4,5,6,7],
'b':[1,2,3,2,1,3,4,5,6,7]})
df['a'] = df['a'].astype('category')
df['a'] * df['b']
```
#### Problem description
On pandas v0.20.3, this is possible:
#### Expected Output
```
Out[23]:
0 1
1 4
2 9
3 4
4 1
5 9... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21118 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21118/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21118/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21118/events | https://github.com/pandas-dev/pandas/issues/21118 | 324,445,428 | MDU6SXNzdWUzMjQ0NDU0Mjg= | 21,118 | to_csv failing with encoding='utf-16' | {
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```python
df.to_csv('test.gz', sep='~', header=False, index=False,compression='gzip',line_terminator='\r\n',encoding='utf-16', na_rep='')
```
/opt/anaconda/lib/python3.6/encodings/ascii.py in decode(self, input, final)
24 class IncrementalDecoder(codecs.IncrementalDecoder):
25 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21119 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21119/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21119/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21119/events | https://github.com/pandas-dev/pandas/issues/21119 | 324,455,456 | MDU6SXNzdWUzMjQ0NTU0NTY= | 21,119 | pandas 0.23 fails on column<->index boolean merge | {
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"id": 2822098,
"name": "Indexing",
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"followers_url": "https://api.github.com/users/jr... | 10 | 2018-05-18T15:28:16Z | 2018-06-08T17:44:18Z | 2018-06-08T17:44:18Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import pandas as pd
df1 = pd.DataFrame({'x': pd.Series([True, False], dtype=bool)})
df2 = df1.set_index('x')
df1.merge(df2, left_on='x', right_index=True)
```
#### Problem description
On Pandas `0.23`, I get the following Exception:
```
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https://api.github.com/repos/pandas-dev/pandas/issues/21120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21120/events | https://github.com/pandas-dev/pandas/issues/21120 | 324,468,395 | MDU6SXNzdWUzMjQ0NjgzOTU= | 21,120 | Index.droplevel when names are tuples | {
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"id": 71268330,... | open | false | null | [] | null | 0 | 2018-05-18T16:06:09Z | 2021-06-19T18:44:13Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: mi = pd.MultiIndex.from_product([[0, 1]]*2, names=[('first', 'level'), ('second', 'level')])
In [3]: mi.droplevel(('first', 'level'))
---------------------------------------------------------------------------
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21121 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21121/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21121/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21121/events | https://github.com/pandas-dev/pandas/issues/21121 | 324,470,431 | MDU6SXNzdWUzMjQ0NzA0MzE= | 21,121 | Index.droplevel when names are tuples | {
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] | closed | false | null | [] | null | 1 | 2018-05-18T16:12:28Z | 2018-05-22T06:22:45Z | 2018-05-22T06:22:45Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: mi = pd.MultiIndex.from_product([[0, 1]]*2, names=[('first', 'level'), ('second', 'level')])
In [3]: mi.droplevel(('first', 'level'))
---------------------------------------------------------------------------
ValueError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21122/events | https://github.com/pandas-dev/pandas/pull/21122 | 324,471,816 | MDExOlB1bGxSZXF1ZXN0MTg5MDczMjI3 | 21,122 | Resolution docstring | {
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"followers_url": "https://api.github... | 15 | 2018-05-18T16:16:56Z | 2018-07-08T12:58:49Z | 2018-07-08T12:58:40Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
```
################################################################################
################### Docstring (pandas.Timedelta.resolution) ###################
#########... | {
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"de... | closed | false | null | [] | null | 9 | 2018-05-18T18:47:01Z | 2018-07-28T23:08:21Z | 2018-07-28T23:08:21Z | CONTRIBUTOR | null | closes #19629
closes #21134
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This started as a copy of #19670 by @AaronCritchley, but has solved two bugs that the tests surfaced along the way.
Bug 1:
there is currently a bug in ``df.aggrega... | {
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```
C:\Users\TP\Miniconda3\envs\pandas-dev\lib\site-packages\jedi\evaluate\compiled\__init__.py:328: FutureWarning: Int64Index.base is deprecated and will be removed in a future version
getattr(obj, name)
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https://api.github.com/repos/pandas-dev/pandas/issues/21125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21125/events | https://github.com/pandas-dev/pandas/pull/21125 | 324,549,958 | MDExOlB1bGxSZXF1ZXN0MTg5MTMzMzY4 | 21,125 | DEPR: Add deprecated index attribute names to deprecation list | {
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```
C:\Users\TP\Miniconda3\envs\pandas-dev\lib\site-packages\jedi\evaluate\compiled\__init__.py:328: FutureWarning: Int64Index.base is deprecated and will be removed in a future version
getattr(obj, name)
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```python
import pandas as pd
import numpy as np
spdf = pd.DataFrame(np.random.rand(5,5)>0.7).astype(float).to_sparse(fill_value=0)
spdf[1].shape[0] == spdf[1].values.shape[0]
```
#### Problem description
Using packages that internally translate pandas dataframes to arrays (like sklearn) re... | {
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... | open | false | null | [] | null | 4 | 2018-05-18T23:30:47Z | 2021-06-19T18:46:53Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python-traceback
In [3]: df = pd.DataFrame({'col1': [0, 1, 2, 3], 'col2': [4, 5, 6, 7],
...: 'col3': [8, 9, 10, 11], 'col4': [12, 13, 14, 15],
...: 'col5': [0, 0, 0, 0]})
...:
In [4]: df.... | {
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"followers_url": "https://api.github... | 5 | 2018-05-18T23:47:08Z | 2018-06-21T00:09:16Z | 2018-06-21T00:09:16Z | MEMBER | null | There currently doesn't appear to be any information regarding passing `freq='infer'` to the `DatetimeIndex` or `TimedeltaIndex` constructors; I only became aware of this option from reading over the code. Would be nice to document this feature in the docstrings for `DatetimeIndex` and `TimedeltaIndex`. Possibly in `... | {
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... | 4 | 2018-05-19T02:25:47Z | 2019-07-23T15:53:50Z | null | NONE | null | #### Problem description
The docs (https://pandas.pydata.org/pandas-docs/stable/api.html#hdfstore-pytables-hdf5) doesn't make any mention of ***HDFStore*** methods like `.get_storer`, which I found quite useful for finding number of records without loading the whole file to memory, but I don't see any documentation ... | {
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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/21131 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21131/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21131/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21131/events | https://github.com/pandas-dev/pandas/issues/21131 | 324,612,191 | MDU6SXNzdWUzMjQ2MTIxOTE= | 21,131 | Change from of 'c' to 'python' engine in read_csv gives unexpected side-effect | {
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```python
>>> import pandas as pd
>>>
>>> csv_file_contents=(
... """File: small.csv,,
... 10010010233,0123,654
... foo,,bar
... 01001000155,4530,898""")
>>> with open('small.csv', 'w') as fp:
... fp.write(csv_file_contents)
>>>
>>> pd.read_csv('small.csv', header=None, engine='c',
...... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21132/events | https://github.com/pandas-dev/pandas/pull/21132 | 324,629,647 | MDExOlB1bGxSZXF1ZXN0MTg5MTg4MTIz | 21,132 | BUG: Should not raise error in concatenating Series with numpy scalar and tuple names (GH21015) | {
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- [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/21133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21133/events | https://github.com/pandas-dev/pandas/issues/21133 | 324,633,994 | MDU6SXNzdWUzMjQ2MzM5OTQ= | 21,133 | Error with pivot_table and categorical data when add dropna args in version 0.23 | {
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pd.__version__
'0.23.0'
labels = ["< 1 mes","1 a 11 meses","1 a 5 años","6 a 11 años","12 a 17 años","18 a + años","alli"]
df = pd.DataFrame(
{'a': pd.cut(range(0,50), bins = [0,5,10,20,30,40,50,60], labels = labels, right = True),
'b':(' '.join(['One'] * 20) + ' ' +' '.join(['Two'] * 30)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21134 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21134/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21134/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21134/events | https://github.com/pandas-dev/pandas/issues/21134 | 324,634,427 | MDU6SXNzdWUzMjQ2MzQ0Mjc= | 21,134 | BUG: df.agg(sum, axis=1) gives wrong result when Nan value is in frame | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2018-05-19T14:38:49Z | 2018-06-06T07:31:36Z | 2018-06-06T07:31:36Z | CONTRIBUTOR | null | Using the built-in ``sum`` function gives correct result in ``df.agg(sum, axis=0)``, but wrong result in ``df.agg(sum, axis=1)``.
```python
>>> df = pd.DataFrame([[np.nan, 2], [3, 4]])
>>> df.agg(sum, axis=0)
0 3.0
1 6.0
dtype: float64
>>> df.agg(sum, axis=1)
0 NaN
1 7.0
dtype: float64
```
T... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21135 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21135/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21135/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21135/events | https://github.com/pandas-dev/pandas/pull/21135 | 324,639,123 | MDExOlB1bGxSZXF1ZXN0MTg5MTkzODU3 | 21,135 | DOC: Improve docstring of Timedelta.delta | {
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"description": "Timedelta data type",... | closed | false | null | [] | null | 1 | 2018-05-19T15:48:47Z | 2018-05-19T20:13:41Z | 2018-05-19T20:13:41Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.pyx" | flake8 --diff`
- [ ] whatsnew entry
```
################################################################################
###################### Docstring (pandas.Timedelta.delta) ######################
########... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21136 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21136/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21136/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21136/events | https://github.com/pandas-dev/pandas/issues/21136 | 324,650,353 | MDU6SXNzdWUzMjQ2NTAzNTM= | 21,136 | 0.23.0 no longer produces TypeError when calling DataFrame.sort_index(level=x) on multiindex of mixed types | {
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"description": "Functionality that used ... | open | false | null | [] | null | 2 | 2018-05-19T18:30:35Z | 2020-05-11T00:58:21Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Column 'a' has both Timestamps and a string
df = pd.Series([pd.Timestamp('2011/4/9'), pd.Timestamp('2010/4/9'), '2009/4/9'], dtype='object', name='a').to_frame()
df['b'] = [1,2,3]
df['c'] = [2,1,3]
df.set_index('a', inplace=True)
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"followers_url": "https://api.github.com/users/jr... | 8 | 2018-05-19T20:07:42Z | 2018-06-05T04:33:14Z | 2018-06-04T22:05:24Z | CONTRIBUTOR | null | ERROR: type should be string, got "https://travis-ci.org/pandas-dev/pandas/jobs/381128602\r\n\r\nsome deprecated usages in tests (can be fixed with multiple PRs)\r\n\r\n```\r\npandas/tests/test_panel.py::TestPanel::()::test_median\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/numpy/lib/function_base.py:4033: RuntimeWarning: All-NaN slice encountered\r\n r = func(a, **kwargs)\r\npandas/tests/test_resample.py::TestResamplerGrouper::()::test_tab_complete_ipython6_warning\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/IPython/core/interactiveshell.py:763: UserWarning: Attempting to work in a virtualenv. If you encounter problems, please install IPython inside the virtualenv.\r\n warn(\"Attempting to work in a virtualenv. If you encounter problems, please \"\r\npandas/tests/test_window.py::TestMoments::()::test_cmov_window_special[slepian]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/scipy/signal/windows/windows.py:1541: DeprecationWarning: slepian is deprecated and will be removed in a future version, use dpss instead\r\n 'version, use dpss instead', DeprecationWarning)\r\npandas/tests/test_window.py::TestMoments::()::test_cmov_window_special_linear_range[slepian]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/scipy/signal/windows/windows.py:1541: DeprecationWarning: slepian is deprecated and will be removed in a future version, use dpss instead\r\n 'version, use dpss instead', DeprecationWarning)\r\npandas/tests/categorical/test_warnings.py::TestCategoricalWarnings::()::test_tab_complete_warning\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/IPython/core/interactiveshell.py:763: UserWarning: Attempting to work in a virtualenv. If you encounter problems, please install IPython inside the virtualenv.\r\n warn(\"Attempting to work in a virtualenv. If you encounter problems, please \"\r\npandas/tests/frame/test_indexing.py::TestDataFrameIndexing::()::test_getitem_setitem_ix_negative_integers\r\n /home/travis/build/pandas-dev/pandas/pandas/tests/frame/test_indexing.py:401: DeprecationWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\r\n df.ix[[-1]]\r\n /home/travis/build/pandas-dev/pandas/pandas/tests/frame/test_indexing.py:404: DeprecationWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\r\n df.ix[:, [-1]]\r\n /home/travis/build/pandas-dev/pandas/pandas/core/indexing.py:890: DeprecationWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\r\n retval = getattr(retval, self.name)._getitem_axis(key, axis=i)\r\npandas/tests/frame/test_analytics.py::TestDataFrameAnalytics::()::test_median\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/numpy/lib/function_base.py:4033: RuntimeWarning: All-NaN slice encountered\r\n r = func(a, **kwargs)\r\npandas/tests/frame/test_analytics.py::TestDataFrameAnalytics::()::test_median_corner\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/numpy/lib/function_base.py:4033: RuntimeWarning: All-NaN slice encountered\r\n r = func(a, **kwargs)\r\npandas/tests/frame/test_missing.py::TestDataFrameMissingData::()::test_fillna_categorical_nan\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/numpy/lib/function_base.py:4033: RuntimeWarning: All-NaN slice encountered\r\n r = func(a, **kwargs)\r\npandas/tests/frame/test_api.py::TestDataFrameMisc::()::test_tab_complete_warning\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/IPython/core/interactiveshell.py:763: UserWarning: Attempting to work in a virtualenv. If you encounter problems, please install IPython inside the virtualenv.\r\n warn(\"Attempting to work in a virtualenv. If you encounter problems, please \"\r\npandas/tests/groupby/test_filters.py::test_filter_and_transform_with_non_unique_float_index\r\n /home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:3063: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\r\n return self._engine.get_loc(key)\r\npandas/tests/groupby/test_groupby.py::test_cython_grouper_series_bug_noncontig\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/numpy/lib/nanfunctions.py:1018: RuntimeWarning: Mean of empty slice\r\n return np.nanmean(a, axis, out=out, keepdims=keepdims)\r\npandas/tests/groupby/aggregate/test_cython.py::test_cythonized_aggers[median]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/numpy/lib/nanfunctions.py:1018: RuntimeWarning: Mean of empty slice\r\n return np.nanmean(a, axis, out=out, keepdims=keepdims)\r\npandas/tests/indexes/datetimes/test_tools.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_for_array\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/indexes/datetimes/test_tools.py::TestToDatetimeInferFormat::()::test_to_datetime_infer_datetime_format_consistent_format[True]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/indexes/datetimes/test_tools.py::TestToDatetimeInferFormat::()::test_to_datetime_infer_datetime_format_consistent_format[False]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/indexes/datetimes/test_tools.py::TestToDatetimeInferFormat::()::test_to_datetime_infer_datetime_format_inconsistent_format[True]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/indexes/datetimes/test_tools.py::TestToDatetimeInferFormat::()::test_to_datetime_infer_datetime_format_inconsistent_format[False]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/indexes/datetimes/test_tools.py::TestToDatetimeInferFormat::()::test_to_datetime_infer_datetime_format_series_with_nans[True]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/indexes/datetimes/test_tools.py::TestToDatetimeInferFormat::()::test_to_datetime_infer_datetime_format_series_with_nans[False]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/indexing/test_indexing.py::TestFancy::()::test_dups_fancy_indexing\r\n /home/travis/build/pandas-dev/pandas/pandas/tests/indexing/test_indexing.py:200: DeprecationWarning: \r\n .ix is deprecated. Please use\r\n .loc for label based indexing or\r\n .iloc for positional indexing\r\n \r\n See the documentation here:\r\n http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\r\n dfnu.ix[['E']]\r\npandas/tests/io/formats/test_printing.py::TestTableSchemaRepr::()::test_publishes\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/IPython/core/interactiveshell.py:763: UserWarning: Attempting to work in a virtualenv. If you encounter problems, please install IPython inside the virtualenv.\r\n warn(\"Attempting to work in a virtualenv. If you encounter problems, please \"\r\npandas/tests/series/test_api.py::TestSeriesMisc::()::test_tab_complete_warning\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/IPython/core/interactiveshell.py:763: UserWarning: Attempting to work in a virtualenv. If you encounter problems, please install IPython inside the virtualenv.\r\n warn(\"Attempting to work in a virtualenv. If you encounter problems, please \"\r\npandas/tests/plotting/test_misc.py::TestDataFramePlots::()::test_parallel_coordinates_with_sorted_labels\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/matplotlib/axes/_base.py:3124: UserWarning: Attempting to set identical left==right results\r\n in singular transformations; automatically expanding.\r\n left=0, right=0\r\n 'left=%s, right=%s') % (left, right))\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_parseable_formats[20111230-%Y%m%d]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_parseable_formats[2011-12-30-%Y-%m-%d]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_parseable_formats[30-12-2011-%d-%m-%Y]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_parseable_formats[2011-12-30 00:00:00-%Y-%m-%d %H:%M:%S]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_parseable_formats[2011-12-30T00:00:00-%Y-%m-%dT%H:%M:%S]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_parseable_formats[2011-12-30 00:00:00.000000-%Y-%m-%d %H:%M:%S.%f]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_dayfirst[True-%d/%m/%Y]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_with_dayfirst[False-%m/%d/%Y]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_invalid_inputs\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_nopadding[2011-1-1-%Y-%m-%d]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_nopadding[30-1-2011-%d-%m-%Y]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_nopadding[1/1/2011-%m/%d/%Y]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_nopadding[2011-1-1 00:00:00-%Y-%m-%d %H:%M:%S]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_nopadding[2011-1-1 0:0:0-%Y-%m-%d %H:%M:%S]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/tslibs/test_parsing.py::TestGuessDatetimeFormat::()::test_guess_datetime_format_nopadding[2011-1-3T00:00:0-%Y-%m-%dT%H:%M:%S]\r\n /home/travis/miniconda3/envs/pandas/lib/python3.6/site-packages/dateutil/parser/__init__.py:46: DeprecationWarning: _timelex is a private class and may break without warning, it will be moved and or renamed in future versions.\r\n warnings.warn(msg, DeprecationWarning)\r\npandas/tests/scalar/timestamp/test_timezones.py::TestTimestampTZOperations::()::test_tz_localize_pushes_out_of_bounds\r\n /home/travis/build/pandas-dev/pandas/pandas/tests/scalar/timestamp/test_timezones.py:32: RuntimeWarning: overflow encountered in long_scalars\r\n Timestamp.min.tz_localize('Asia/Tokyo')\r\n /home/travis/build/pandas-dev/pandas/pandas/tests/scalar/timestamp/test_timezones.py:39: RuntimeWarning: overflow encountered in long_scalars\r\n Timestamp.max.tz_localize('US/Pacific')\r\n-- Docs: http://doc.pytest.org/en/latest/warnings.html\r\n 24703 passed, 1037 skipped, 79 xfailed, 31 xpassed, 53 warnings in 824.37 seconds \r\n/home/travis/build/pandas-dev/pandas/pandas/core/strings.py:257: DeprecationWarning: invalid escape sequence \\$\r\n \"\"\"\r\n/home/travis/build/pandas-dev/pandas/pandas/core/strings.py:382: DeprecationWarning: invalid escape sequence \\d\r\n \"\"\"\r\n```" | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21138 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21138/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21138/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21138/events | https://github.com/pandas-dev/pandas/pull/21138 | 324,656,822 | MDExOlB1bGxSZXF1ZXN0MTg5MjA0NzMx | 21,138 | DOC: Improve the docstring of Timedelta.delta redux | {
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"closed_at": "2018-06-13T03:57:35Z",
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"followers_url": "https://api.github.com/users/jr... | 3 | 2018-05-19T20:12:03Z | 2018-06-08T17:11:44Z | 2018-05-21T11:00:05Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
rather than trying to pick and choose items from my previous PR #21135 (which somehow had a number of other items sucked into it) ...
gonna start from scratch here and close out... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21139/events | https://github.com/pandas-dev/pandas/pull/21139 | 324,667,938 | MDExOlB1bGxSZXF1ZXN0MTg5MjExMTI5 | 21,139 | CLN: Refactor open into context manager in io tests | {
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"closed_at": "2019-01-26T00:51:26Z",
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"followers_url": "https://api.github... | 2 | 2018-05-19T23:21:01Z | 2018-05-21T12:00:47Z | 2018-05-21T10:37:53Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Building on #21105 by @WillAyd, I cleaned up some more `open` statements. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21140/events | https://github.com/pandas-dev/pandas/issues/21140 | 324,675,799 | MDU6SXNzdWUzMjQ2NzU3OTk= | 21,140 | Add Timedelta Support to JSON Reader with orient="table" | {
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"description": "read_jso... | open | false | null | [] | null | 4 | 2018-05-20T01:44:52Z | 2021-06-19T18:48:42Z | null | MEMBER | null | Right now trying to parse JSON using orient='table' will fail if the object contains Timedeltas intentionally:
https://github.com/pandas-dev/pandas/blob/bc37ea2e05019a89adaa48159b220483598d1898/pandas/io/json/table_schema.py#L310
Since #19065 was merged I think this should now be possible if anyone wants to take ... | {
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```python
import pandas as pd
from pandas.compat import StringIO
data = """A,B,C,D,E
2000-01-03 00:00:00,0.980268513777,3.68573087906,-0.364216805298,-1.15973806169,foo
2000-01-04 00:00:00,1.04791624281,-0.0412318367011,-0.16181208307,0.212549316967,bar
2000-01-05 00:00:00,0.498580885705,0.7... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21142/events | https://github.com/pandas-dev/pandas/issues/21142 | 324,706,061 | MDU6SXNzdWUzMjQ3MDYwNjE= | 21,142 | BUG: Datetime subclasses are no longer datetime64 types | {
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```python
>>> import pandas as pd
>>> from datetime import datetime
>>> class MyDatetime(datetime):
... pass
>>> df_subclass = pd.DataFrame({"datetime": [MyDatetime(2018, 1, 1, 1, 1)]})
>>> df_subclass.dtypes
datetime object
dtype: object
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https://api.github.com/repos/pandas-dev/pandas/issues/21143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21143/events | https://github.com/pandas-dev/pandas/issues/21143 | 324,713,954 | MDU6SXNzdWUzMjQ3MTM5NTQ= | 21,143 | Assigning a timestamp value to a Series create an int instead | {
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g = pd.Series(dict(a = 5, b =datetime(2018, 1,1)))
g['datetime'] = pd.Timestamp('2018-01-02')
```
g returns:
```
a 5
b 2018-01-01 00:00:00
datetime 1514851200000000000
dtype: object
```
It seems this is a bug, [I asked the question on SO and found a workaround... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
zipfile.ZipFile has default compression mode `zipfile.ZIP_STORED`. It creates an uncompressed archive member. Whilst it doesn't cause ... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
MultiIndex can currently have quite long repr output, which may also take a long time to print.
This PR makes the MultiIndex repr output similar in style to other Index reprs... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-21T05:37:14Z | 2018-06-07T21:28:03Z | 2018-06-07T21:28:02Z | CONTRIBUTOR | null | After #19664 `to_sql()` performance is highly dependent on the number of columns.
#### Problem description
For a single column 0.23 is faster than 0.22. Adding more columns has little influence on 0.22 but quickly degrades the performance on 0.23. I.e. for 20 columns 0.23 takes 1.5 times longer than 0.22
Perfo... | {
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```python
pd.DataFrame([-1., -2.], [['a', 'a'], [1, 2]]).reindex([1, 2, 3], level=1)
# 0
# a 1 -1.0
# 2 -2.0
```
#### Problem description
`DataFrame.reindex()` with `level` specified doesn't fill missing values.
#### Expected Output
```pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21149 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21149/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21149/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21149/events | https://github.com/pandas-dev/pandas/issues/21149 | 324,875,635 | MDU6SXNzdWUzMjQ4NzU2MzU= | 21,149 | (Assuming we don't want to disallow 1-level MultiIndexes), stop identifying MultiIndex by nlevels == 1 | {
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```python
In [2]: mi = pd.MultiIndex.from_product([[0, 1]])
In [3]: mi.set_names(('first',), level=0)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21150 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21150/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21150/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21150/events | https://github.com/pandas-dev/pandas/issues/21150 | 324,876,756 | MDU6SXNzdWUzMjQ4NzY3NTY= | 21,150 | BUG: race condition in Index.is_unique | {
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... | open | false | null | [] | null | 7 | 2018-05-21T11:06:50Z | 2019-06-05T11:53:20Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Input:
```python
from concurrent.futures import ThreadPoolExecutor
import pandas as pd
x = pd.date_range('2001', '2020')
with ThreadPoolExecutor(2) as p:
assert all(p.map(lambda x: x.is_unique, [x]*2))
```
Output:
```python
Traceback (most r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21151/events | https://github.com/pandas-dev/pandas/issues/21151 | 324,964,622 | MDU6SXNzdWUzMjQ5NjQ2MjI= | 21,151 | BUG: Wrong grouping of categoricals when observed=True | {
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"closed_at": "2019-01-26T00:51:26Z",
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"created_at": "2018-03-29T12:00:12Z",
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"followers_url": "https://api.github... | 3 | 2018-05-21T15:46:14Z | 2019-01-22T23:29:34Z | 2019-01-22T23:29:34Z | CONTRIBUTOR | null | Setup:
```python
>>> s1 = pd.Categorical([np.nan, 'a', np.nan, 'a'], categories=['a', 'b'])
>>> s2 = pd.Series([1, 2, 3, 4])
>>> df = pd.DataFrame({'s1': s1, 's2': s2})
```
Comparing results with ``observed=False`` and ``observed=True``:
```python
>>> df.groupby('s1').sum() # ok
s2
s1
a 6
b ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21152 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21152/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21152/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21152/events | https://github.com/pandas-dev/pandas/issues/21152 | 324,965,011 | MDU6SXNzdWUzMjQ5NjUwMTE= | 21,152 | datetime.date no longer coerced to datetime64 for comparison operations | {
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"description": "Functiona... | closed | false | null | [] | {
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```python
import pandas as pd
import numpy as np
import datetime
pydate = datetime.date(2018,1,1)
df = pd.DataFrame({'date':[np.datetime64('2018-01-01')]})
sel = df[df['date'] == pydate]
print(len(sel))
```
#### Problem description
In pandas 0.22 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21153 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21153/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21153/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21153/events | https://github.com/pandas-dev/pandas/issues/21153 | 324,980,139 | MDU6SXNzdWUzMjQ5ODAxMzk= | 21,153 | Is Pandas too clever (indices issue)? | {
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I would like to concatenate the numpy arrays of 2 columns:
```python
import pandas as pd
import numpy as np
tmp = pd.DataFrame({'a':[np.array([1,2,3])], 'b':[np.array([8,9])]})
tmp.apply(lambda x: np.concatenate([x['a'], x['b']]), axis=1)
```
The answer, which I don't understand, is:
`ValueError: Shape... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21154 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21154/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21154/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21154/events | https://github.com/pandas-dev/pandas/pull/21154 | 324,986,371 | MDExOlB1bGxSZXF1ZXN0MTg5NDMyNzQx | 21,154 | TST: Escape invalid escape characters | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21155 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21155/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21155/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21155/events | https://github.com/pandas-dev/pandas/issues/21155 | 325,004,792 | MDU6SXNzdWUzMjUwMDQ3OTI= | 21,155 | Sparsify MultiIndex in Styler | {
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] | closed | false | null | [] | null | 4 | 2018-05-21T17:56:34Z | 2018-05-25T03:15:34Z | 2018-05-21T18:38:12Z | NONE | null | #### Merge Duplicate Cells for Easier Reading as a Styler Option
At work we generate reports in Bi4 and via Python. In the Python reports we write, we use the new Styler object to generate conditionally f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21156 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21156/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21156/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21156/events | https://github.com/pandas-dev/pandas/issues/21156 | 325,023,393 | MDU6SXNzdWUzMjUwMjMzOTM= | 21,156 | pd.Series.replace(np.inf, value) occasionally cannot replace np.inf -- what? | {
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```
>>> pd.Series([1, 2, 3, np.inf, 5, 6]).replace(np.inf, 4)
0 1.0
1 2.0
2 3.0
3 4.0
4 5.0
5 6.0
dtype: float64
# all good
>>> -np.log(pd.Series([1, 2, 3, 0, 5, 6])).replace(np.inf, 4)
0 -0.000000
1 -0.693147
2 -1.098612
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21157 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21157/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21157/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21157/events | https://github.com/pandas-dev/pandas/issues/21157 | 325,038,620 | MDU6SXNzdWUzMjUwMzg2MjA= | 21,157 | Rolling correlation for DataFrame with MultiIndex columns broken in Pandas 0.23 | {
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"followers_url": "https://api.github.com/users/jreback/followers",... | 3 | 2018-05-21T19:53:52Z | 2021-09-07T05:18:00Z | 2021-09-07T05:18:00Z | NONE | null | #### Code Sample
```
import numpy as np
import pandas as pd
index = range(5)
data = np.random.random(size=(len(index), 2))
simple_cols = ['M', 'N']
simple_df = pd.DataFrame(data, index=index, columns=simple_cols)
multi_cols = pd.MultiIndex.from_arrays([['M', 'N'], ['P', 'Q']], names=['a', 'b'])
multi_d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21158/events | https://github.com/pandas-dev/pandas/issues/21158 | 325,055,218 | MDU6SXNzdWUzMjUwNTUyMTg= | 21,158 | json_normalize gives KeyError in 0.23 | {
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"url": "https://api.github.com/repos/pandas-dev/pandas/labels/Regression"
},
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"color": ... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 7 | 2018-05-21T20:51:39Z | 2018-06-07T15:58:48Z | 2018-06-07T15:58:48Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import json
from pandas import show_versions
from pandas.io.json import json_normalize
print(show_versions())
with open('test.json', 'r') as infile:
d = json.load(infile)
normed = json_normalize(d)
```
The `test.json` file is rather... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21159/events | https://github.com/pandas-dev/pandas/issues/21159 | 325,095,598 | MDU6SXNzdWUzMjUwOTU1OTg= | 21,159 | Version 0.23.0 bug in replace()? | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2018-05-21T23:49:54Z | 2018-05-22T00:14:27Z | 2018-05-22T00:14:14Z | NONE | null | Hi folks,
In Pandas 0.23.0 (on Linux Mint 18.3), i run
```python
import pandas as pd
import numpy as np
s = pd.Series([np.nan, 1])
s.fillna(-1).astype(int).astype(str).replace('-1', '')
```
and get the error
```
---------------------------------------------------------------------------
TypeErro... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21160/events | https://github.com/pandas-dev/pandas/pull/21160 | 325,097,289 | MDExOlB1bGxSZXF1ZXN0MTg5NTE2ODg0 | 21,160 | ENH: Integer NA Extension Array | {
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"default": false,
"description": "np.nan, ... | closed | false | null | [] | {
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"followers_url": "https://api.github... | 44 | 2018-05-22T00:00:03Z | 2018-07-20T22:21:06Z | 2018-07-20T20:44:33Z | CONTRIBUTOR | null | closes #20700
closes #20747
```
In [1]: df = pd.DataFrame({
'A': pd.Series([1, 2, np.nan], dtype='Int64'),
'B': pd.Series([1, np.nan, 3], dtype='UInt8'),
'C': [1, 2, 3]})
In [2]: df
Out[2]:
A B C
0 1 1 1
1 2 NaN 2
2 NaN 3 3
In [3]: df.dtypes
Out[3]:
A Int64
B U... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21161/events | https://github.com/pandas-dev/pandas/issues/21161 | 325,102,200 | MDU6SXNzdWUzMjUxMDIyMDA= | 21,161 | BUG: interval_range is incorrect when start/periods or end/periods is specified with float start/end | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2018-05-22T00:31:05Z | 2018-05-23T04:22:15Z | 2018-05-23T04:22:15Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: pd.interval_range(start=0.5, periods=4)
Out[2]:
IntervalIndex([(0.5, 1.375], (1.375, 2.25], (2.25, 3.125], (3.125, 4.0]]
closed='right',
dtype='interval[float64]')
In [3]: pd.interval_range(end=4.5, periods=4)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21162/events | https://github.com/pandas-dev/pandas/pull/21162 | 325,103,774 | MDExOlB1bGxSZXF1ZXN0MTg5NTIxNjA5 | 21,162 | BUG: Fix interval_range when start/periods or end/periods are specified with float start/end | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-22T00:42:16Z | 2018-06-08T17:14:49Z | 2018-05-23T04:22:15Z | MEMBER | null | - [X] closes #21161
- [X] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [X] whatsnew entry
Should be good for 0.23.1; the code changes only hit the `interval_range` function, which is outside the `IntervalIndex` class, so should be independent of any enhancements rela... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21163/events | https://github.com/pandas-dev/pandas/pull/21163 | 325,122,967 | MDExOlB1bGxSZXF1ZXN0MTg5NTM1MDQ2 | 21,163 | Cleanup clipboard tests | {
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"followers_url": "https://api.github.com/users/jre... | 5 | 2018-05-22T02:52:55Z | 2018-07-02T15:48:18Z | 2018-06-26T22:19:42Z | CONTRIBUTOR | null | As requested in #21111, I've refactored the original clipboard tests as well as adding my own. The set of tests have been improved to include testing of:
- failure of tab delimited tables (#21104)
- errors relating to copying and reading space-delimited tables
- copy and pasting tables where the text contains quo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21164 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21164/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21164/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21164/events | https://github.com/pandas-dev/pandas/pull/21164 | 325,138,635 | MDExOlB1bGxSZXF1ZXN0MTg5NTQ2MTQ2 | 21,164 | BUG: Fix nested_to_record with None values in nested levels | {
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"followers_url": "https://api.github.com/users/jr... | 21 | 2018-05-22T04:39:53Z | 2018-06-12T16:30:33Z | 2018-06-07T15:58:48Z | CONTRIBUTOR | null | - [ ] closes #21158
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Continue after pop so you dont pop with the same key twice in a row
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https://api.github.com/repos/pandas-dev/pandas/issues/21165 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21165/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21165/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21165/events | https://github.com/pandas-dev/pandas/pull/21165 | 325,144,526 | MDExOlB1bGxSZXF1ZXN0MTg5NTUwNDEy | 21,165 | DOC: move mention of #21115 from bugs to enhancements | {
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"followers_url": "https://api.github... | 2 | 2018-05-22T05:20:42Z | 2018-07-08T08:31:43Z | 2018-05-22T10:19:52Z | MEMBER | null | Very trivial followup to https://github.com/pandas-dev/pandas/pull/21116#discussion_r189738781 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21166 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21166/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21166/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21166/events | https://github.com/pandas-dev/pandas/issues/21166 | 325,158,663 | MDU6SXNzdWUzMjUxNTg2NjM= | 21,166 | Inconsistent dataframe output behaviour depending on the datatype of the last column | {
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I'll just create a test dataframe with 6 columns of different data types with a string column with longer entries:
import pandas as pd
test1 = ['AAAAAAAAAAAAAAA','BBBBBBBBBBBBBBBB','CCCCCCCCCCCCCCCCCCCCCCCCC','DDDDDD... | {
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Until now `options.display.max_columns` was usually set to 20 which was good for me. Now that behaviour has changed and it gets set to 0. While that makes DataFrame Output look tidier it makes the use of the `head()` function can be pretty pointless ... | {
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```python
In [2]: s = pd.Series(-1, index=pd.MultiIndex.from_product([[0, 1]]*2))
In [3]: s.loc[0, 3]
---------------------------------------------------------------------------
IndexingError Traceback (most recent call last)
<i... | {
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- [x] closes #21041
- [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/21170 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21170/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21170/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21170/events | https://github.com/pandas-dev/pandas/pull/21170 | 325,234,088 | MDExOlB1bGxSZXF1ZXN0MTg5NjE2NTc0 | 21,170 | Small typo in deprecation message added in PR #21060 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
This bugfix gets rid of duplicated names that can be the result of groupby operations (#19029).
I opted to implement one of the ideas proposed by [toobaz](https://github.com/p... | {
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"followers_url": "https://api.github... | 6 | 2018-05-22T13:52:33Z | 2018-11-17T22:15:57Z | 2018-11-17T22:15:57Z | CONTRIBUTOR | null | Function `dropna` may return wrong result on `SparseDataFrame`. The following code
```python
import pandas as pd
pd.SparseDataFrame({"F1": [None, None], "F2": [0, 1], "F3": [float('nan'), 0]}).dropna(axis=1, inplace=False, how='all')
pd.SparseDataFrame({"F1": [None, None], "F2": [0, 1], "F3": [None, 0]}).dropn... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21174 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21174/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21174/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21174/events | https://github.com/pandas-dev/pandas/issues/21174 | 325,400,350 | MDU6SXNzdWUzMjU0MDAzNTA= | 21,174 | Passing sort=True to pandas.concat does not always keep behavior without sort passed | {
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```python
>>> df = pd.DataFrame({"a": [1, 2], "b": [1, 2]}, columns=['b', 'a'])
>>> pd.concat([df])
b a
0 1 1
1 2 2
>>> pd.concat([df], sort=True)
a b
0 1 1
1 2 2
```
#### Problem description
According to the [0.23.0 What's New](... | {
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```python
sa = pd.SparseArray([float('nan'), fl... | {
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- [+] tests added / passed
- [+] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Solves the issue 21141. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21177 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21177/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21177/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21177/events | https://github.com/pandas-dev/pandas/pull/21177 | 325,544,816 | MDExOlB1bGxSZXF1ZXN0MTg5ODUzNDE1 | 21,177 | WIP: Make weekday_name field in DatetimeIndex categorical | {
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... | closed | false | null | [] | null | 9 | 2018-05-23T04:25:09Z | 2018-10-11T01:50:51Z | 2018-10-11T01:50:51Z | NONE | null | - [x] closes #12993
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Work in progress. `DatetimeIndex` `CategoricalIndex` for `weekday_name` but accessing it from `dt.weekday_name` still returns an `object` dtype | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21178 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21178/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21178/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21178/events | https://github.com/pandas-dev/pandas/issues/21178 | 325,551,287 | MDU6SXNzdWUzMjU1NTEyODc= | 21,178 | Help please | {
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# Your code here
import sqlite3
import pandas as pd
cnx = sqlite3.connect('database.sqlite')
df = pd.read_sql_query("SELECT * FROM Player_Attributes", cnx)
```
#### Problem description
AttributeError: module 'pandas' has no attribute 'read'
**Note**: We... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21179 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21179/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21179/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21179/events | https://github.com/pandas-dev/pandas/issues/21179 | 325,553,751 | MDU6SXNzdWUzMjU1NTM3NTE= | 21,179 | Help Please | {
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```python
# Your code here
import sqlite3
import pandas as pd
cnx = sqlite3.connect('database.sqlite')
df = pd.read_sql_query("SELECT * FROM Player_Attributes", cnx)
```
#### Problem description
pandas.io.sql.DatabaseError: Execution failed on sql 'SELECT... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21180 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21180/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21180/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21180/events | https://github.com/pandas-dev/pandas/issues/21180 | 325,636,096 | MDU6SXNzdWUzMjU2MzYwOTY= | 21,180 | MultiIndex `to_string` edge case Error after 0.23.0 upgrade | {
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```python
import pandas as pd
import numpy as np
index = pd.date_range('1970', '2018', freq='A')
data = np.random.randn(len(index))
columns1 = [
['This is a long title with > 37 chars.'],
['cat'],
]
columns2 = [
['This is a loooooonger title with > 43 chars.'],
['dog'],... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21181 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21181/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21181/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21181/events | https://github.com/pandas-dev/pandas/issues/21181 | 325,736,025 | MDU6SXNzdWUzMjU3MzYwMjU= | 21,181 | I'm geeting this error while reading a file in container image | {
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```python
# Your code here
ParserErrorTraceback (most recent call last)
<ipython-input-9-4892e831abe8> in <module>()
1 import pandas as pd
----> 2 data = pd.read_csv("https://github.com/vaibhaw1994kumar/MachineLearning-test-cases/blob/master/internatio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21182/events | https://github.com/pandas-dev/pandas/pull/21182 | 325,822,913 | MDExOlB1bGxSZXF1ZXN0MTkwMDY1NTUy | 21,182 | BUG: Should not raises errors in .set_names and comparison methods for MultiIndex with nlevels == 1 (GH21149) | {
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- [ ] 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/21183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21183/events | https://github.com/pandas-dev/pandas/pull/21183 | 325,826,590 | MDExOlB1bGxSZXF1ZXN0MTkwMDY4NDE2 | 21,183 | BUG: Series.combine() fails with ExtensionArray inside of Series | {
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closes #21248
- [x] tests added / passed
- extension/category/test_categorical.py:test_combine
- extension/decimal/test_decimal.py:test_combine
- series/test_combine_concat.py:test_combine_scalar
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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"followers_url": "https://api.github... | 7 | 2018-05-23T20:11:43Z | 2019-01-06T15:53:49Z | 2019-01-06T15:53:49Z | NONE | null | #### Code Sample
```python
import pandas as pd
left = pd.DataFrame({'by_col': pd.DatetimeIndex(['2018-01-01']).tz_localize('UTC'),
'on_col': [2], 'values': ['a']})
right = pd.DataFrame({'by_col': pd.DatetimeIndex(['2018-01-01']).tz_localize('UTC'),
'on_col': [1], 'valu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21186/events | https://github.com/pandas-dev/pandas/issues/21186 | 325,932,717 | MDU6SXNzdWUzMjU5MzI3MTc= | 21,186 | DataFrame slicing TimedeltaIndex with str | {
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```python
cols = ['15:00:00', '15:01:00', '15:02:00', '15:02:30']
cols_td = pd.to_timedelta(cols)
df = pd.DataFrame(0, index=range(4), columns=cols_td)
vw1 = df.loc[:, :cols[-2]]
vw2 = df.loc[:, :cols_td[-2]]
print(vw1)
print(vw2)
print('Statement b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21187 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21187/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21187/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21187/events | https://github.com/pandas-dev/pandas/pull/21187 | 325,940,925 | MDExOlB1bGxSZXF1ZXN0MTkwMTUyOTg1 | 21,187 | fix hashing string-casting error | {
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"followers_url": "https://api.github.com/users/jre... | 2 | 2018-05-24T02:25:08Z | 2018-06-29T15:03:04Z | 2018-06-21T10:18:54Z | MEMBER | null | - [x] closes #21002
- [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/21188 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21188/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21188/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21188/events | https://github.com/pandas-dev/pandas/issues/21188 | 326,012,888 | MDU6SXNzdWUzMjYwMTI4ODg= | 21,188 | HDFStore.select_column gives KeyError | {
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```python
hdf = pd.HDFStore('db/trips.h5')
print(hdf.info()) # works
print(hdf.select('df',columns=['trip_id'])) # works
print(hdf.select_column('df','index') ) # works
print(hdf.select_column('df','trip_id') ) # throws KeyError
```
#### Output
`print(hdf... | {
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"followers_url": "https://api.github... | 0 | 2018-05-24T09:27:43Z | 2018-05-24T14:59:28Z | 2018-05-24T14:59:28Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd
In [2]: from pandas.tests.extension.decimal.array import DecimalArray
In [3]: from pandas.tests.extension.json.array import JSONArray
In [4]: DecimalArray([]).isna()
Out[4]: array([], dtype=float64)
In [5]: JSON... | {
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- [x] closes #21189
- [x] tests added / passed
- Modified tests/extension/base/missing.py to test when arrays are empty
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
- Did not put anything here because it's internal code
Probably for @TomAugspurger to review.
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pre-cursor to #21160 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21192 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21192/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21192/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21192/events | https://github.com/pandas-dev/pandas/issues/21192 | 326,123,265 | MDU6SXNzdWUzMjYxMjMyNjU= | 21,192 | groupby.apply modifies the index of an empty series | {
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... | open | false | null | [] | null | 3 | 2018-05-24T13:31:04Z | 2020-12-15T09:27:27Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
**Correct behaviour for non-empty series** - The index is kept unchanged:
```python
>>> pd.Series(index=pd.DatetimeIndex(["2018-01-01"]), data=[10]).groupby([1]).apply(lambda x: x).index
DatetimeIndex(['2018-01-01'], dtype='datetime64[ns]', freq=None)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/21193 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21193/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21193/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21193/events | https://github.com/pandas-dev/pandas/issues/21193 | 326,202,906 | MDU6SXNzdWUzMjYyMDI5MDY= | 21,193 | MultiIndex with dates gives wrong output for values() | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2018-05-24T16:40:16Z | 2018-05-24T21:38:53Z | 2018-05-24T21:22:41Z | CONTRIBUTOR | null | Calling `values()` on a `MultiIndex` with date_ranges returns an array of tuples of Timestamp, instead of an array of Timestamp. I think this is a bug... is this expected?
```python
>>> idx = pd.MultiIndex(levels=[pd.date_range("20170103", "20170105", tz='UTC')], labels=[[0, 1, 2]]) ... | {
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import pandas as pd
# Create some random Timestamps
timestamp1 = pd.Timestamp('2018-01-01 21:00:05.001+00:00')
timestamp2 = pd.Timestamp('2018-01-01 22:35:10.550+00:00')
# Get an internal timestamp, so asof should give us the lesser value
timestamp_internal = timestamp2 + ((timestamp2 - timestamp1) / 2)
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Initial PR #21182 is closed - and now split in 2 different PRs
`def cmp_method` raised ValueError for equality / inequality comparisons of MultiIndex with nlevels == 1, whic... | {
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- [x] tests added / passed
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Initial PR #21182 is closed - and now split in 2 different PRs | {
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- [x] tests added / passed
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This is WIP. I would like to gather feedback on API change before going on.
- support callables as parameter?
- support to_sql() when used on SQLite3 (without SQLAlchemy)
Sample file for performance benchmarking
```
import time
import numpy as np
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```python
>>>import pandas as pd
>>>import numpy as np
>>>df = pd.DataFrame(data=np.random.rand(8, 1), columns={'a'})
>>>df['grp']=1
>>>df.loc[::2, 'grp']=2
>>>df['%_groupby']=df.groupby('grp')['a'].pct_change()
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```python
index = pd.date_range("1677-09-22","1678-09-22",freq="M")
```
It works as expected and produces a datetime index
However, if I do this:
```python
index = pd.date_range("1677-09-21","1678-09-21",freq="M")
```
I get an OutOfBoundsDatetime exception on the first date.
#### Problem ... | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2018-05-25T08:12:23Z | 2018-06-08T17:20:38Z | 2018-05-31T20:44:53Z | CONTRIBUTOR | null | - [x] closes #20731
- [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/21204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21204/events | https://github.com/pandas-dev/pandas/pull/21204 | 326,472,032 | MDExOlB1bGxSZXF1ZXN0MTkwNTQ5Mjk1 | 21,204 | CI: use latest deps for pandas-datareader, python-dateutil | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2018-05-25T10:42:00Z | 2018-06-12T16:30:34Z | 2018-05-25T11:32:05Z | CONTRIBUTOR | null | xfail geopandas
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https://api.github.com/repos/pandas-dev/pandas/issues/21205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21205/events | https://github.com/pandas-dev/pandas/issues/21205 | 326,498,799 | MDU6SXNzdWUzMjY0OTg3OTk= | 21,205 | BUG: Series.dt.to_period returns wrong dtype on all-NaTs | {
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"default": true,
"description":... | closed | false | null | [] | {
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"closed_issues": 1289,
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-05-25T12:13:59Z | 2019-01-26T14:50:50Z | 2019-01-26T14:50:50Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Input:
```python
print(pd.to_datetime(['2001']).to_series().dt.to_period('D').dtype)
print(pd.to_datetime(['NaT']).to_series().dt.to_period('D').dtype)
```
Output:
```python
object
datetime64[ns]
```
#### Problem description
Calling `.dt.to_p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21206/events | https://github.com/pandas-dev/pandas/issues/21206 | 326,580,842 | MDU6SXNzdWUzMjY1ODA4NDI= | 21,206 | Python Pandas rolling mean DataFrame Constructor not properly called | {
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] | closed | false | null | [] | null | 3 | 2018-05-25T16:00:56Z | 2019-07-21T15:46:20Z | 2019-01-13T04:18:33Z | NONE | null | #### Code Sample, a copy-pastable example if possible
def py_TA_MA(v, n, AscendType):
df = pd.DataFrame(v, columns=['Close'])
df = df.sort_index(ascending=AscendType) # ascending/descending flag
M = pd.Series(df['Close'].rolling(n), name = 'MovingAverage_' + str(n))
df = df.join(M)
df = df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21207/events | https://github.com/pandas-dev/pandas/issues/21207 | 326,593,865 | MDU6SXNzdWUzMjY1OTM4NjU= | 21,207 | BUG: incorrect groupby().ffill() in pandas 0.23.0 | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2018-05-25T16:43:44Z | 2018-05-29T01:20:39Z | 2018-05-29T01:20:39Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Input:
```python
import numpy as np
import pandas as pd
df2 = pd.DataFrame(dict(x=0, y=[np.nan]*9 + [1]*9))
print(df2.head())
print(df2.groupby('x').ffill().head())
```
Output:
```python
x y
0 0 NaN
1 0 NaN
2 0 NaN
3 0 NaN
4 0 NaN... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21208/events | https://github.com/pandas-dev/pandas/issues/21208 | 326,607,499 | MDU6SXNzdWUzMjY2MDc0OTk= | 21,208 | Bad rendering of VersionInfo in Pandas DataFrame | {
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] | closed | false | null | [] | null | 2 | 2018-05-25T17:34:08Z | 2019-02-27T22:08:59Z | 2019-02-27T22:08:59Z | CONTRIBUTOR | null | Hello,
I noticed that `VersionInfo` are rendered badly in Pandas DataFrame.
(see https://github.com/k-bx/python-semver/issues/87)
They are rendered as tuple.
```python
In [1]: import pandas as pd
In [2]: import semver
In [3]: versions = ['4.0.0', '5.0.0', '5.0.1', '10.0.0']
In [4]: df = pd.DataFrame(versi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21209 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21209/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21209/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21209/events | https://github.com/pandas-dev/pandas/issues/21209 | 326,645,881 | MDU6SXNzdWUzMjY2NDU4ODE= | 21,209 | DOC: minor deprecate message documentation on frame.dropna | {
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"followers_url": "https://api.github... | 0 | 2018-05-25T19:58:13Z | 2018-05-28T08:32:47Z | 2018-05-25T21:06:09Z | CONTRIBUTOR | null | #### Problem description
Indentation on "axis" incorrect, falling out of deprecated message.
<img width="764" alt="master" src="https://user-images.githubusercontent.com/14131823/40563288-26a7af68-605c-11e8-90d9-ec8e27683bcd.png">
#### Expected Output
<img width="749" alt="pr" src="https://user-images.githubu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21210/events | https://github.com/pandas-dev/pandas/pull/21210 | 326,646,401 | MDExOlB1bGxSZXF1ZXN0MTkwNjgxOTk0 | 21,210 | DOC: minor documentation fix on frame.dropna | {
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"followers_url": "https://api.github... | 2 | 2018-05-25T20:00:12Z | 2018-05-25T21:07:06Z | 2018-05-25T21:06:09Z | CONTRIBUTOR | null | - [x] closes #21209
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
After this PR, it should look like this:
<img width="749" alt="pr" src="https://user-images.githubusercontent.com/14131823/40563992-e1536170-605e-11e8-8fd7-13bc1e0981d0.png">
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https://api.github.com/repos/pandas-dev/pandas/issues/21211 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21211/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21211/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21211/events | https://github.com/pandas-dev/pandas/issues/21211 | 326,647,667 | MDU6SXNzdWUzMjY2NDc2Njc= | 21,211 | read_csv with usecols and chunksize fails if first row of chunk has fewer columns | {
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"... | open | false | null | [] | null | 1 | 2018-05-25T20:04:59Z | 2021-06-19T18:49:56Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
import io
import pandas as pd
input = """23 45 32 17
18 19 23 20
17 4 9
"""
f = io.StringIO(input)
df_chunks = pd.read_csv(f, sep=" ", names=["A", "B"],
chunksize=2, usecols=[0,1], header=None,)
for i,df in enumerate(df_ch... | {
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