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https://api.github.com/repos/pandas-dev/pandas/issues/20812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20812/events | https://github.com/pandas-dev/pandas/issues/20812 | 317,340,370 | MDU6SXNzdWUzMTczNDAzNzA= | 20,812 | TST: Cleanup tests/indexes/test_base.py | {
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... | 0 | 2018-04-24T18:19:02Z | 2018-05-10T02:47:14Z | null | MEMBER | null | This module could use some major refactoring. Approach outlined with checkboxes below - will add or modify as we go through:
- [X] Parametrize the existing module where appropriate
- [X] Pass 1: #20624
- [X] Pass 2: #20813
- [X] Pass 3: #20931
- [X] Pass 4: #20979
- [ ] Replace any class methods... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20814/events | https://github.com/pandas-dev/pandas/pull/20814 | 317,355,538 | MDExOlB1bGxSZXF1ZXN0MTgzODMzODQy | 20,814 | ExtensionArray.take default implementation | {
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NA semantics.
```python
In [1]: import pandas as pd
In [2]: from pandas.tests.extension.decimal.array import *
In [3]: arr = DecimalArray(['1.1', '1.2', '1.3'])
In [4]: arr.take([0, 1, -1])
Out[4]: DecimalArray(array(['1.1', ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20815/events | https://github.com/pandas-dev/pandas/pull/20815 | 317,379,283 | MDExOlB1bGxSZXF1ZXN0MTgzODUyMDAw | 20,815 | BUG: Make ExtensionArray:_can_hold_na a class attribute | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-04-24T20:18:16Z | 2018-06-29T14:00:49Z | 2018-04-25T16:11:33Z | CONTRIBUTOR | null | - [x] closes #20761
- [x] tests added / passed
- pandas/tests/extension/decimal/test_nona.py
- This tests an example where `_can_hold_na==False`
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
- Not included as it is a fix to the new `ExtensionArray` interface
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https://api.github.com/repos/pandas-dev/pandas/issues/20816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20816/events | https://github.com/pandas-dev/pandas/issues/20816 | 317,513,438 | MDU6SXNzdWUzMTc1MTM0Mzg= | 20,816 | pd.concat fails if given repeated keys | {
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```python
series_list = [pd.Series({"a": 1}), pd.Series({"b": 2}), pd.Series({"c": 3})]
print(pd.concat(series_list, verify_integrity=True)) # This works fine
# Raises TypeError
print(pd.concat(series_list, keys=["red", "red", "red"]))
# Does NOT raise... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20817/events | https://github.com/pandas-dev/pandas/issues/20817 | 317,540,216 | MDU6SXNzdWUzMTc1NDAyMTY= | 20,817 | Parallel processing in groupby operations | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2018-04-25T09:07:08Z | 2018-04-25T10:09:17Z | 2018-04-25T10:08:49Z | NONE | null | Hello,
It would be nice to have the possibility to do parallel processing using `joblib` when applying something to a groupby. I'm dreaming about a `parallel` optional argument which defaults to `False`.
I think it's best to have that parallel argument while grouping
The only option I have now is to make list ... | {
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"... | open | false | null | [] | null | 3 | 2018-04-25T10:57:42Z | 2021-06-19T18:10:35Z | null | NONE | null | #### Code Sample
```python
import datetime as dt
import pandas as pd
pd.to_datetime(dt.datetime(2018,1,2)).to_period('W-MON')
# Period('2018-01-02/2018-01-08', 'W-MON')
dt.datetime(2018,1,2).strftime('%a')
# 'Tue'
```
#### Problem description
I expect `W-MON` to produce a `Period` that starts on Mon... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20819/events | https://github.com/pandas-dev/pandas/pull/20819 | 317,696,537 | MDExOlB1bGxSZXF1ZXN0MTg0MDg4Mzkz | 20,819 | Change _can_hold_na to a class attribute and document that it shouldn't be changed | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-25T16:11:04Z | 2018-06-29T14:00:47Z | 2018-04-26T15:34:46Z | CONTRIBUTOR | null | - [x] closes #20761
- [x] tests added / passed
- removed tests dependent on `_can_hold_na`
- [x ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
- not needed because it is part of `ExtensionArray` support new for v0.23
Replaces pull request #20815 (see discussion there f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20820/events | https://github.com/pandas-dev/pandas/issues/20820 | 317,736,064 | MDU6SXNzdWUzMTc3MzYwNjQ= | 20,820 | Established Standards for Tests | {
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"d... | closed | false | null | [] | null | 1 | 2018-04-25T18:06:56Z | 2020-02-16T21:50:39Z | 2020-02-16T21:50:39Z | MEMBER | null | xref https://github.com/pandas-dev/pandas/pull/20813#discussion_r183850580 there is some inconsistency with how tests are built which we could standardize and cleanup. For example, all of the following may appear in any given test:
```python
# Short variable name notation
res = 'foo'
exp = 'bar'
assert res == ex... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20821/events | https://github.com/pandas-dev/pandas/issues/20821 | 317,779,482 | MDU6SXNzdWUzMTc3Nzk0ODI= | 20,821 | Share whitelist of apply / transform methods | {
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... | 1 | 2018-04-25T20:21:03Z | 2021-06-19T18:13:08Z | null | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/pull/20800
We have multiple places that need to know about this now, e.g. `DataFrameGroupby.apply` and `DataFrame.apply` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20822/events | https://github.com/pandas-dev/pandas/issues/20822 | 317,782,252 | MDU6SXNzdWUzMTc3ODIyNTI= | 20,822 | Doc build failing on master | {
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```
Exception occurred:
File "/tmp/doc/sphinxext/numpydoc/docscrape.py", line 375, in _error_location
raise ValueError(msg)
ValueError: The section Returns appears twice in the docstring of None in None.
``` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20823/events | https://github.com/pandas-dev/pandas/pull/20823 | 317,787,270 | MDExOlB1bGxSZXF1ZXN0MTg0MTU4MjYy | 20,823 | DOC: Removed duplicate returns section | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20824/events | https://github.com/pandas-dev/pandas/issues/20824 | 317,788,981 | MDU6SXNzdWUzMTc3ODg5ODE= | 20,824 | DataFrame.groupby().sum() treating Nan as 0.0 | {
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... | 15 | 2018-04-25T20:50:44Z | 2021-06-19T18:14:27Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
In [62]: import pandas as pd
In [63]: import numpy as np
In [64]: df = pd.DataFrame(data=[['data1', 2, np.nan], ['data2', 3, 4], ['data3', 4, 4]], index=[1, 2, 3], columns=['a', 'b', 'c'])
In [68]: df
Out[68]:
a b c
1 data1 2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20825/events | https://github.com/pandas-dev/pandas/issues/20825 | 317,799,363 | MDU6SXNzdWUzMTc3OTkzNjM= | 20,825 | BUG: Series.combine() fails with ExtensionArray inside of Series | {
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"followers_url": "https://api.github... | 0 | 2018-04-25T21:24:18Z | 2018-06-08T11:34:34Z | 2018-06-08T11:34:34Z | 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, make_dat
...: a
In [3]: da1= make_data()
...: da2= make_data()
...:
In [4]: s1 = pd.Series(DecimalArray(da1))
...: s2 = pd.Serie... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20826/events | https://github.com/pandas-dev/pandas/pull/20826 | 317,809,538 | MDExOlB1bGxSZXF1ZXN0MTg0MTc1NzA3 | 20,826 | Fixed read_csv with CategoricalDtype with boolean categories (20498) | {
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"followers_url": "https://api.github... | 16 | 2018-04-25T22:01:21Z | 2018-11-27T16:17:32Z | 2018-11-27T16:17:27Z | CONTRIBUTOR | null | - [x] closes #20498
- [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/20827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20827/events | https://github.com/pandas-dev/pandas/pull/20827 | 317,862,845 | MDExOlB1bGxSZXF1ZXN0MTg0MjE1NjQw | 20,827 | TST: Fixed failures in JSON asserts | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-26T03:15:50Z | 2018-04-26T12:18:18Z | 2018-04-26T12:18:15Z | CONTRIBUTOR | null | Fixes an occasional failure in the json tests. They'd fail when the
Series held objects of equal length.
```pytb
pandas/tests/extension/json/test_json.py:114:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20828/events | https://github.com/pandas-dev/pandas/issues/20828 | 317,926,372 | MDU6SXNzdWUzMTc5MjYzNzI= | 20,828 | ENH: read_excel respect Excel text type for numbers | {
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I am trying to read an excel file that has a column (called "raster") of numbers with a leading apostrophe (so that they may be interpreted as text by Excel) since this is one common way to maintain leading zeros for numbers. The numbers need to be always 6 digits long. Additionally some of ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20829/events | https://github.com/pandas-dev/pandas/issues/20829 | 317,993,537 | MDU6SXNzdWUzMTc5OTM1Mzc= | 20,829 | Timedelta always returning False for equality tests for incompatible types | {
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"followers_url": "https://api.github... | 11 | 2018-04-26T11:47:43Z | 2018-10-24T16:25:38Z | 2018-10-24T16:25:38Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
import datetime
import pandas
class CustomClass:
def __init__(self):
pass
def __eq__(self, other):
raise Exception("Custom Class eq")
custom = CustomClass()
var1 = datetime.timedelta(seconds=1)
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https://api.github.com/repos/pandas-dev/pandas/issues/20830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20830/events | https://github.com/pandas-dev/pandas/pull/20830 | 317,997,697 | MDExOlB1bGxSZXF1ZXN0MTg0MzE2NDM4 | 20,830 | [WIP] Debug R doc build failure | {
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] | closed | false | null | [] | null | 7 | 2018-04-26T12:00:32Z | 2018-11-02T14:18:37Z | 2018-11-01T01:38:03Z | CONTRIBUTOR | null | #20648 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20831/events | https://github.com/pandas-dev/pandas/issues/20831 | 318,004,726 | MDU6SXNzdWUzMTgwMDQ3MjY= | 20,831 | Surprising and inconsistent results when adding two `Series` which both contain duplicate labels. | {
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"description": "Arithmetic, Comparison, ... | open | false | null | [] | null | 2 | 2018-04-26T12:21:36Z | 2021-06-19T18:15:58Z | null | NONE | null | If I add two `Series` objects, both of which contain the same duplicate label, it appears that I get a result in which every possible combination for that label appears. In the below: `s1` has the label `b` twice, `s2` has the label `b` thrice, and the result has the label `b` six times.
```python
Python 3.6.5 (def... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20832/events | https://github.com/pandas-dev/pandas/issues/20832 | 318,138,576 | MDU6SXNzdWUzMTgxMzg1NzY= | 20,832 | concat with ExtensionArray and object upcasting fails | {
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"followers_url": "https://api.github.com/users/j... | 2 | 2018-04-26T18:05:24Z | 2018-04-29T21:06:24Z | 2018-04-29T21:06:24Z | CONTRIBUTOR | null | ```python
In [1]: import pandas as pd
In [2]: from pandas.tests.extension.decimal.array import *
In [3]: result = pd.concat([pd.Series(DecimalArray([decimal.Decimal(1)])), pd.Series([1])])
In [4]: result.shape
Out[4]: (2, 1)
```
and the repr fails, since things are messed up. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20833/events | https://github.com/pandas-dev/pandas/issues/20833 | 318,143,798 | MDU6SXNzdWUzMTgxNDM3OTg= | 20,833 | REF: Simplify JoinUnit.is_na for categorical | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2018-04-26T18:20:33Z | 2020-10-20T01:28:50Z | 2020-10-20T01:28:50Z | CONTRIBUTOR | null | In JoinUnit.is_na we get the categories
https://github.com/pandas-dev/pandas/blob/6cacdde5630c593999059833b516e1fec60aaf72/pandas/core/internals.py#L5782-L5783
and then check if they're all not na. Categories can't have NA in them, so we can just return False (I think). | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20834/events | https://github.com/pandas-dev/pandas/pull/20834 | 318,173,427 | MDExOlB1bGxSZXF1ZXN0MTg0NDQ1OTY3 | 20,834 | PERF: Faster Series.__getattribute__ | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20835/events | https://github.com/pandas-dev/pandas/issues/20835 | 318,191,994 | MDU6SXNzdWUzMTgxOTE5OTQ= | 20,835 | "to_hdf()" with "format='table'" ignores encoder "errors" argument. | {
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```python
s = '\ud800'
srs = _pd.Series()
srs.loc[ 0 ] = s
srs.to_hdf( 'srs.hdf', key = 'srs', mode = 'w', format = 'fixed' ) # works fine
srs.to_hdf( 'srs.hdf', key = 'srs', mode = 'w', format = 'table' )
# fails with "UnicodeEncodeError: 'utf-8... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20836/events | https://github.com/pandas-dev/pandas/issues/20836 | 318,291,922 | MDU6SXNzdWUzMTgyOTE5MjI= | 20,836 | Pandas problem .str.replace | {
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TempInfo = pd.DataFrame({'value': ['4', '1', '3', '2','9','11','5','10','14','7','13','12','8','6','15','unknown'],'Id': ['4.0','1.0','3.0','2.0','9.0','11.0','5.0','10.0','14.0','7.0','13.0','12.0','8.0','6.0','15.0','unknown']})
TempInfo
Id value
0 4.0 4
1 1.0 1
2 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20837/events | https://github.com/pandas-dev/pandas/issues/20837 | 318,292,643 | MDU6SXNzdWUzMTgyOTI2NDM= | 20,837 | Allow broadcasting vertically a 1-dim input to pd.DataFrame(), - and document | {
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"description": "DataFram... | open | false | null | [] | null | 0 | 2018-04-27T06:31:35Z | 2021-06-19T18:16:18Z | null | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```python
In [2]: pd.DataFrame([1, 2], columns=range(3))
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/home/nobackup/repo/pandas/pandas/core/internals.p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20838/events | https://github.com/pandas-dev/pandas/issues/20838 | 318,294,072 | MDU6SXNzdWUzMTgyOTQwNzI= | 20,838 | request for to_elastic method | {
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There is to_csv or to_sql method. Since elasticsearch is an important database, I will request for to_elastic method. It is possible to import a module and export dataframe data to elasticsearch, but a native method will be useful.
#### Expected Output
to_elastic method built-in | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20839/events | https://github.com/pandas-dev/pandas/pull/20839 | 318,310,623 | MDExOlB1bGxSZXF1ZXN0MTg0NTQ4MTUy | 20,839 | Handle duplicate column names in select_dtypes and get_dummies | {
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"followers_url": "https://api.github.com/users/j... | 6 | 2018-04-27T07:48:11Z | 2018-05-06T06:12:05Z | 2018-05-05T12:59:06Z | CONTRIBUTOR | null | Functions `select_dtypes` and `get_dummies` previously failed on DataFrames with duplicate column names and had strange behavior as shown below. This PR fixes that strange behavior.
Previous behavior:
```python
In [6]: df
Out[6]:
col1 col1
0 1 a
1 2 b
In [7]: df.select_dtypes(include=['int'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20840/events | https://github.com/pandas-dev/pandas/pull/20840 | 318,344,190 | MDExOlB1bGxSZXF1ZXN0MTg0NTczMDI1 | 20,840 | BUG: concat of Series of EA and other dtype fails | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20841/events | https://github.com/pandas-dev/pandas/pull/20841 | 318,371,361 | MDExOlB1bGxSZXF1ZXN0MTg0NTkzNjY1 | 20,841 | BUG/DEPR: deprecate Categorical take default behaviour + fix Series[categorical].take | {
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I might be unavailable for the next few hours, so I'm just putting this up here, even though it includes changes from https://github.com/pandas-dev/pandas/pull/20814 in the first commit. Once that is merged, this can be merged on top of master and it'll just have the categorical changes. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20842/events | https://github.com/pandas-dev/pandas/issues/20842 | 318,428,046 | MDU6SXNzdWUzMTg0MjgwNDY= | 20,842 | str.cat inconsistent for CategoricalIndex | {
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```
a = pd.Index(['a', 'b', 'a'])
b = pd.Index(['a', 'b', 'a'], dtype='category')
a.str.cat(b)
# Index(['aa', 'bb', 'aa'], dtype='object')
b.str.cat(a)
# AttributeError: Can only use .str accessor with string ... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2018-04-27T14:30:21Z | 2018-04-30T14:55:07Z | 2018-04-30T14:54:58Z | CONTRIBUTOR | null | It's easy to make a Series categorical by using `.astype('category')`, and this yields the same result as calling the constructor with `dtype='category'`.
The same call fails for Index:
```
s = pd.Series(['a', 'b', 'a'])
sc = pd.Series(['a', 'b', 'a'], dtype='category')
s.astype('category')
# 0 a
# 1 b
... | {
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Refactor StataWriter to simplify new writer
closes #16450
- [x] closes #16450
- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
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```
s = pd.Series(['a', 'b', 'a'])
t = pd.Index(['a', 'b', 'a'])
## all of the following return the same Series
s.str.cat(s)
s.str.cat(t)
s.str.cat(s.values)
s.str.cat(list(s))
# 0 aa
# 1 bb
# 2 aa
... | {
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- [X] tests added / passed
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"description": "Concat, Merge/Join, Stac... | closed | false | null | [] | {
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```python
In [6]: df
Out[6]:
col1 col1
0 1 a
1 2 b
In [7]: df.select_dtypes(include=['int'])
Out[7]:
Empty DataFrame
Columns: []
Index: [0, 1]
In [8]: pd.get_dummies(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20849/events | https://github.com/pandas-dev/pandas/issues/20849 | 318,485,622 | MDU6SXNzdWUzMTg0ODU2MjI= | 20,849 | Memory leakage when concatting list of dataframes | {
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"default"... | open | false | null | [] | null | 2 | 2018-04-27T17:15:32Z | 2021-06-19T18:18:06Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
# Your code here
import pandas as pd
import numpy as np
import gc
COLUMNS = list('abcde')
df_list = []
for i in range(100):
df = pd.DataFrame(np.random.rand(1_000_000, 5), columns=COLUMNS)
df = df[COLUMNS] # <-- LINE A SEE BELO... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20850/events | https://github.com/pandas-dev/pandas/issues/20850 | 318,516,781 | MDU6SXNzdWUzMTg1MTY3ODE= | 20,850 | DataFrame constructor fails with tz dtype | {
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... | 2 | 2018-04-27T19:04:38Z | 2018-04-27T19:49:42Z | 2018-04-27T19:49:42Z | CONTRIBUTOR | null | This works with series
```python
In [1]: import pandas as pd
In [2]: pd.Series(index=[0, 1], dtype='datetime64[ns, UTC]')
Out[2]:
0 NaT
1 NaT
dtype: datetime64[ns, UTC]
```
but not DataFrames
```python
In [3]: pd.DataFrame(index=[0, 1], columns=[0], dtype='datetime64[ns, UTC]')
```
```pytb
-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20851/events | https://github.com/pandas-dev/pandas/pull/20851 | 318,518,535 | MDExOlB1bGxSZXF1ZXN0MTg0NzA0MDY2 | 20,851 | BUG: allow None as upcasted_na value | {
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"color": "6138b5"... | closed | false | null | [] | null | 11 | 2018-04-27T19:10:31Z | 2019-08-28T16:18:56Z | 2019-08-28T16:18:55Z | MEMBER | null | In geopandas I use `dtype.na_value = None`, but this gives problems in `merge` (in `JoinUnit.get_reindexed_values`, `upcasted_na` of None is handled specifically).
The first commit works, but is not very nice, so in the second commit I attempted to just return `values` instead of `get_values` | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20852/events | https://github.com/pandas-dev/pandas/issues/20852 | 318,560,416 | MDU6SXNzdWUzMTg1NjA0MTY= | 20,852 | np array indexer modified in iloc | {
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"followers_url": "https://api.github... | 5 | 2018-04-27T21:52:43Z | 2018-07-14T14:50:22Z | 2018-07-14T14:50:22Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
In [31]: import pandas as pd
In [32]: import numpy as np
In [33]: a = np.array([1, 2, -1])
In [34]: b = pd.DataFrame([100, 101, 102], index=[1, 2, 3], columns=['col'])
In [35]: b.iloc[a]
Out[35]:
col
2 101
3 102
3 102
In [36]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20853/events | https://github.com/pandas-dev/pandas/issues/20853 | 318,576,313 | MDU6SXNzdWUzMTg1NzYzMTM= | 20,853 | What are these guys doing with this line? | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2018-04-27T23:25:03Z | 2018-04-30T14:07:24Z | 2018-04-30T14:07:20Z | NONE | null | I am using a pipeline that seems like it has not been updated in a while and when I run it in a modern environment with a modern pandas I get an exception that traces to this line:
```
grouped = series[series].groupby(level=level)
```
The lowest error is:
```
File "pandas/_libs/src/inference.pyx", line 1581,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20854 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20854/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20854/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20854/events | https://github.com/pandas-dev/pandas/issues/20854 | 318,611,114 | MDU6SXNzdWUzMTg2MTExMTQ= | 20,854 | BUG: DatetimeIndex constructed with Timestamps on DST border are converted to the same Timestamp | {
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... | closed | false | null | [] | {
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In [16]: pd.DatetimeIndex([pd.Timestamp('2016-10-30 03:00:00+0300', tz='Europe/Helsinki'), pd.Timestamp('2016-10-30 03:00:00+0200', tz='Europe/Helsinki')])
Out[16]: DatetimeIndex(['2016-10-30 03:00:00+02:00', '2016-10-30 03:00:00+02:00'], dtype='datetime64[ns, Europe/Helsinki]', freq=None)
```
For Helsinki, D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20855/events | https://github.com/pandas-dev/pandas/pull/20855 | 318,649,505 | MDExOlB1bGxSZXF1ZXN0MTg0NzkzOTk1 | 20,855 | BUG: fix indexing.py to make a copy of the indices (#20852) | {
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- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
WIP. Reviewing the test cases and would add a test case to validate this fix. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20856/events | https://github.com/pandas-dev/pandas/issues/20856 | 318,666,650 | MDU6SXNzdWUzMTg2NjY2NTA= | 20,856 | Unexpected SettingWithCopyWarning after dropna() | {
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Scenario 1 (no issues)
```python
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: df_nans = pd.DataFrame({'A' : [1, np.nan], 'B' : [3, 6]})
In [4]: df_nans = df_nans.dropna()
In [5]: df_nans.__dict__
Out[5]:
{'is_copy'... | {
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] | closed | false | null | [] | null | 3 | 2018-04-28T21:22:45Z | 2019-01-13T03:22:20Z | 2019-01-13T03:22:12Z | NONE | null | I have a generator that return slices of a pandas dataframe for use in a TensorFlow dataset. When running my script in debug mode, I get the following trace:
```
Exception ignored in: <generator object find_common_type.<locals>.<genexpr> at 0x11a367a40>
Traceback (most recent call last):
File "/Users/harald/ana... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20858/events | https://github.com/pandas-dev/pandas/pull/20858 | 318,703,182 | MDExOlB1bGxSZXF1ZXN0MTg0ODI2MTAx | 20,858 | Pandas docs data frame.stack | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/20859 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20859/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20859/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20859/events | https://github.com/pandas-dev/pandas/issues/20859 | 318,705,930 | MDU6SXNzdWUzMTg3MDU5MzA= | 20,859 | BUG: Wrong Latex Encoding | {
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| A | B | ... |
-------------------------
| a\b\c | 2 | ... |
| p\y\c | 9 | ... |
| a\d\x | 4 | ... |
Calling ``to_latex`` on this ``DataFrame`` returns strings like ``a\textbackslashb\textbackslashc``, what ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20860/events | https://github.com/pandas-dev/pandas/pull/20860 | 318,706,866 | MDExOlB1bGxSZXF1ZXN0MTg0ODI4NDM3 | 20,860 | BUG: Correct Escaping for LaTeX, #20859 | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/20861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20861/events | https://github.com/pandas-dev/pandas/pull/20861 | 318,706,971 | MDExOlB1bGxSZXF1ZXN0MTg0ODI4NTA0 | 20,861 | Improve docstring for zfill | {
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- Document differences between pandas and standard library zfill
- [ ] closes #xxxx
- [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/20862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20862/events | https://github.com/pandas-dev/pandas/issues/20862 | 318,708,717 | MDU6SXNzdWUzMTg3MDg3MTc= | 20,862 | Problem Compiling Docs using make.py | {
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```
$ python make.py html
```
This is the output of the command:
```
usage: sphinx-build [OPTIONS] SOURCEDIR OUTPUTDIR [FILENAMES...]
sphinx-build: error: cannot find source directory (/Users/usr/Documents/Pandas Sprint/pandas/d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20863/events | https://github.com/pandas-dev/pandas/pull/20863 | 318,709,349 | MDExOlB1bGxSZXF1ZXN0MTg0ODI5ODgy | 20,863 | DOC: update the pandas.Series.str.strip docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20864/events | https://github.com/pandas-dev/pandas/pull/20864 | 318,709,420 | MDExOlB1bGxSZXF1ZXN0MTg0ODI5OTI5 | 20,864 | DOC: Improve the docstring of String.str.zfill() | {
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"followers_url": "https://api.github... | 4 | 2018-04-29T11:25:24Z | 2018-07-07T14:59:55Z | 2018-07-07T14:21:51Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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Result of the Pandas sprint at PyData London 2018. Includes work by @owlas. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20865 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20865/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20865/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20865/events | https://github.com/pandas-dev/pandas/pull/20865 | 318,711,501 | MDExOlB1bGxSZXF1ZXN0MTg0ODMxMTk3 | 20,865 | PERF: Fixed regression in Series(index=idx) constructor | {
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Special cases empty series construction, since the reindex is not necessary.
xref https://github.com/pandas-dev/pandas/issues/18532#issuecomment-385190350
Setup
```python
data = None
idx = date_range(start=datetime(2015, 10, 26),
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https://api.github.com/repos/pandas-dev/pandas/issues/20866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20866/events | https://github.com/pandas-dev/pandas/issues/20866 | 318,715,078 | MDU6SXNzdWUzMTg3MTUwNzg= | 20,866 | Change in behaviour of unique method regarding None values | {
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```
In [1]: pd.__version__
Out[1]: '0.22.0'
In [2]: s = pd.Series(['test', None])
In [3]: s.unique()
Out[3]: array(['test', None], dtype=object)
```
vs
```
In [1]: pd.__version__
Out[1]: '0.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20867 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20867/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20867/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20867/events | https://github.com/pandas-dev/pandas/pull/20867 | 318,729,695 | MDExOlB1bGxSZXF1ZXN0MTg0ODQyMzMw | 20,867 | Fix #20744 . loffset ignored in upsample | {
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- [X] 1 test updated
- [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/20868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20868/events | https://github.com/pandas-dev/pandas/issues/20868 | 318,730,744 | MDU6SXNzdWUzMTg3MzA3NDQ= | 20,868 | Series.str.zfill() behaves differently than str.zfill() from standard library | {
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... | 2 | 2018-04-29T16:35:59Z | 2019-10-21T19:34:22Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```python
# Pandas
>>> s = pd.Series(['-2', '+5'])
>>> s.str.zfill(5)
0 000-2
1 000+5
dtype: object
# Python 3.6
>>> '-2'.zfill(5)
'-0002'
>>> '+5'.zfill(5)
'+0005'
```
#### Problem description
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"followers_url": "https://api.github... | 3 | 2018-04-29T18:25:15Z | 2018-11-04T20:12:23Z | 2018-11-04T20:12:23Z | CONTRIBUTOR | null | TZ-naive is fine.
```python
In [41]: pd.Series(dtype='datetime64[ns]').reindex([0, 1])
Out[41]:
0 NaT
1 NaT
dtype: datetime64[ns]
In [42]: pd.Series(dtype='datetime64[ns, UTC]').reindex([0, 1])
```
```pytb
---------------------------------------------------------------------------
IndexError ... | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
```############################################################################
################################## Validation ##################################
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```python
import pandas as pd
s = pd.Series(
[1, 2, 3, 4],
index=['a', 'a', 'b', 'b'],
dtype=object
)
print(s.groupby(lambda x: x).sum()) # Works fine.
print(s.groupby(lambda x: x).mean()) # Raises `DataError`.
```
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Links to the legacy site are currently re... | {
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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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[skip ci]
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/20876 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20876/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20876/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20876/events | https://github.com/pandas-dev/pandas/issues/20876 | 318,832,638 | MDU6SXNzdWUzMTg4MzI2Mzg= | 20,876 | Comparing DataFrame with columns with mixed types to a scalar should fail | {
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```python
>>> s = pd.Series(['foo', 1])
>>> s > 1 # fails as expected
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/mdank/anaconda3/envs/pd-mixed/lib/python3.6/site-packages/pandas/core/ops.py", line 879, in wrappe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20877/events | https://github.com/pandas-dev/pandas/issues/20877 | 318,834,503 | MDU6SXNzdWUzMTg4MzQ1MDM= | 20,877 | feature request: allow NaN handling to be specified per column in read_csv() | {
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```python
import pa... | {
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```python
>>> t = pd.DataFrame({'foo': [1,2], 'labels': [3,4], 'bar': [5,6]})
>>> t.foo
0 1
1 2
Name: foo, dtype: int64
>>> t.bar
0 5
1 6
Name: bar, dtype: int64
>>> t.labels
Traceback (most recent call last):
File "<stdin>", line 1, in ... | {
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... | 3 | 2018-04-30T12:56:27Z | 2018-06-08T15:47:36Z | 2018-06-08T15:47:35Z | CONTRIBUTOR | null | Single or double backticks?
We use single for docstrings.
In the HTML rendering, single goes to italics. Double goes to code-formatting. | {
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df1 = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]},
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```python
In [1]: import pandas as pd
In [2]: import decimal
In [3]: from pandas.tests.extension.decimal.array import DecimalArray
...:
...: a = DecimalArray([decimal.Decimal(str(i)) for i in range(5)])
...: sa = pd.Series(a, index=[2*i for i i... | {
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```python
import pandas as pd
data = [
{'id': 1, 'content': [{'values': 3}]},
{'id': 2, 'content': u'whats going on'},
{'id': 3, 'content': u'whaaaaaaaaat'},
{'id': 4, 'content': [{'values': 4}]}
]
if __name__ == '__main__':
df = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20884/events | https://github.com/pandas-dev/pandas/pull/20884 | 318,955,737 | MDExOlB1bGxSZXF1ZXN0MTg1MDA1MDI4 | 20,884 | BUG: Fix #20744. loffset ignored in resample ffill | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
This replaces pull request #20867 | {
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- [x] tests added / passed
- pandas/tests/extension/base/getitem.py::test_get()
- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
- Not created - assume will go in v0.23 as part of ExtensionArray support
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IIUC, the proposal is for `datetime_index.set_freq(new_freq)` to be an alternative to `datetimeindex.freq = new_freq` (please correct me if I'm wrong).
This would also apply to TimedeltaIndex. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20887 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20887/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20887/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20887/events | https://github.com/pandas-dev/pandas/issues/20887 | 318,984,632 | MDU6SXNzdWUzMTg5ODQ2MzI= | 20,887 | `drop_duplicates` on non-existent column should raise warning | {
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import pandas as pd
dat = pd.DataFrame([
{'a':1,'b':2,'c':3},
{'a':1,'b':2,'c':3}
])
dat.drop_duplicates(subset=['a','d'])
```
```python
a b c
0 1 2 3
```
#### Problem description
When using `drop_duplicates()` with the `subset` option, a warning should probably be raised when tr... | {
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```python
In [117]: import pandas as pd
In [118]: df = pd.DataFrame({"a":[1], "b":[2], "c":[3], "d":[4]})
In [119]: group_keys = ["a", "b", "c"]
In [120]: g = df[df.a==2].groupby(group_keys)
In [121]: g.first().index
Out[121]:
MultiIndex(levels=[[]... | {
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] | closed | false | null | [] | null | 27 | 2018-04-30T22:26:06Z | 2018-06-29T13:54:22Z | 2018-05-30T18:33:49Z | CONTRIBUTOR | null | - [x] closes #20659, #19577, #20825
- [x] tests added / passed
- pandas/tests/extension/decimal/test_decimal.py
- Tests for operators using existing operator tests for fundamental types
- pandas/tests/extension/json/test_json.py
- Create an `__add__` method for json and test it, make sure others fail
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```
import pandas as pd
pd.eval('exp(2)')
```
#### Problem description
Result is `7.0`. Result should be `7.3890560989306504`.
Note: Using float value instead of int (e.g. `pd.eval('exp(2.0)'`) evaluates correctly.
#### Expected Output
`7.3890560989306504`
#### Output of ``pd.show_vers... | {
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- [X] tests added / passed
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Summary:
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- See that PR for relevant discussion
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https://api.github.com/repos/pandas-dev/pandas/issues/20894 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20894/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20894/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20894/events | https://github.com/pandas-dev/pandas/issues/20894 | 319,129,316 | MDU6SXNzdWUzMTkxMjkzMTY= | 20,894 | Pandas .assign function is consuming a lot of memory. | {
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] | closed | false | null | [] | null | 6 | 2018-05-01T06:38:29Z | 2018-05-01T11:11:01Z | 2018-05-01T11:10:53Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```python
def add_attribute(self, new_attribute, condition_column, categories, category, code):
"""
This function adds new attribute with new values depends on the values in the condition column replaced
with specific code.
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https://api.github.com/repos/pandas-dev/pandas/issues/20895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20895/events | https://github.com/pandas-dev/pandas/pull/20895 | 319,141,652 | MDExOlB1bGxSZXF1ZXN0MTg1MTM3NzA1 | 20,895 | Mention NaN handling in dtype description | {
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- [x] closes issue #20875
- [ ] tests passed
- [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] `pandas.read_csv.html` renders text as intended
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https://api.github.com/repos/pandas-dev/pandas/issues/20896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20896/events | https://github.com/pandas-dev/pandas/issues/20896 | 319,165,727 | MDU6SXNzdWUzMTkxNjU3Mjc= | 20,896 | case sensitive merge | {
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By default Pandas merge method is case-sensitive.
There should be a way to merge 2 dataframes without considering upper/ lower case just like SQL joins.
#### Expected Output
May be a parameter case=True (default) that can be changed to case=False
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https://api.github.com/repos/pandas-dev/pandas/issues/20897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20897/events | https://github.com/pandas-dev/pandas/pull/20897 | 319,167,375 | MDExOlB1bGxSZXF1ZXN0MTg1MTU2MTQy | 20,897 | DOC: improve the shared docstring of Series.str.strip() | {
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- [ ] tests added / passed
- [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [ ] whatsnew entry
Docstring written with @jalammar as part of the pandas sprint at PyData London 2018, guided by @datapythonista. Wasn't too sure of the "Return" definition, so we defaulted to the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20898/events | https://github.com/pandas-dev/pandas/issues/20898 | 319,170,776 | MDU6SXNzdWUzMTkxNzA3NzY= | 20,898 | DOC: let’s add these reshaping visuals to the docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20899/events | https://github.com/pandas-dev/pandas/issues/20899 | 319,172,576 | MDU6SXNzdWUzMTkxNzI1NzY= | 20,899 | API: Add Dictionary-encoded Extension Type | {
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... | 3 | 2018-05-01T11:07:27Z | 2021-06-19T18:23:20Z | null | CONTRIBUTOR | null | Currently, Categorical serves two main purposes
1. A type for expressing data from a fixed set of categories
2. A memory efficient storage format for low-cardinality objects
This proposal is to add a new extension type (let's call it `DictEncodedArray`
for now) for the second use case. The storage format would ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20900/events | https://github.com/pandas-dev/pandas/issues/20900 | 319,176,352 | MDU6SXNzdWUzMTkxNzYzNTI= | 20,900 | TypeError for mixed-type indices in python3 | {
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```python
import pandas as pd
import numpy as np
table = pd.DataFrame(data=np.random.randn(5,2), index=[4,1,'foo',3,'bar'])
table = table.sort_index()
```
#### Problem description
The code above works in python2. However, in python3 a `TypeError` is rais... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20901/events | https://github.com/pandas-dev/pandas/pull/20901 | 319,201,308 | MDExOlB1bGxSZXF1ZXN0MTg1MTgxMDY0 | 20,901 | DOC: whatsnew for GH #18819 | {
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- [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
- [x] whatsnew entry
Just a whatsnew entry warning about the more strict check | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20902/events | https://github.com/pandas-dev/pandas/issues/20902 | 319,210,195 | MDU6SXNzdWUzMTkyMTAxOTU= | 20,902 | Followup to #20583 (observed keyword for Groupby) | {
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2. whatsnew description on unobserved, cartesian product: https://github.com/pandas-dev/pandas/pull/20583#discussion_r185208219
3. Simplify implementation? https://github.com/pandas-dev/pandas/... | {
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... | 4 | 2018-05-01T14:21:51Z | 2019-12-04T23:02:18Z | 2019-12-04T23:02:17Z | CONTRIBUTOR | null | Currently we have `to_hdf(self, path_or_buf, key, **kwargs)`
It'd be good to replace that with the actual signature (unless I'm missing a reason for the current implementation) and document it fully. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20904/events | https://github.com/pandas-dev/pandas/issues/20904 | 319,227,398 | MDU6SXNzdWUzMTkyMjczOTg= | 20,904 | pytest 3.5.1 compat | {
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https://travis-ci.org/pandas-dev/pandas/jobs/373482349#L2293 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20905/events | https://github.com/pandas-dev/pandas/pull/20905 | 319,227,541 | MDExOlB1bGxSZXF1ZXN0MTg1MjAwNTU5 | 20,905 | Pyside2 is arriving | {
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- [x] install.rst new option from Qt World
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https://api.github.com/repos/pandas-dev/pandas/issues/20906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20906/events | https://github.com/pandas-dev/pandas/pull/20906 | 319,228,362 | MDExOlB1bGxSZXF1ZXN0MTg1MjAxMTcy | 20,906 | Use right assert raises | {
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closes #20904
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... | 2 | 2018-05-01T16:34:54Z | 2019-02-04T13:04:37Z | 2019-02-04T13:04:37Z | CONTRIBUTOR | null | This "worked" before becuase we used `pytest.raises(..., msg=)`, but `msg` isn't an argument for pytest, so it wasn't validated.
Skipping for now
```
pytest pandas/tests/io/test_pytables.py -k test_to_hdf_with_object_column_names -x --pdb
==================================================================== tes... | {
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Ideally, we would specify this everywhere we use concat internally. In many contexts, it will be irrelevant since things should be already sorted & aligned.
Need to determine the old behavior, and then match that. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20910/events | https://github.com/pandas-dev/pandas/pull/20910 | 319,311,405 | MDExOlB1bGxSZXF1ZXN0MTg1MjY0MTIw | 20,910 | Doc: Added docstring to Groupby mean | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20911/events | https://github.com/pandas-dev/pandas/issues/20911 | 319,314,771 | MDU6SXNzdWUzMTkzMTQ3NzE= | 20,911 | DataFrame.clip() bug when bound a frame when columns not sorted | {
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```python
In [14]: import pandas as pd
In [15]: df1 = pd.DataFrame([[1., 0.], [3., 0.]], columns=['A', 'B'])
In [16]: df2 = pd.DataFrame([[100., 1.], [100., 2.]], columns=['B', 'A'])
In [17]: df1.clip(lower=0, upper=df2)
Out[17]:
A B
0 1... | {
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