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https://api.github.com/repos/pandas-dev/pandas/issues/14008 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14008/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14008/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14008/events | https://github.com/pandas-dev/pandas/issues/14008 | 171,310,138 | MDU6SXNzdWUxNzEzMTAxMzg= | 14,008 | BUG: PeriodIndexGrouper fails with Grouper selection | {
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... | 2 | 2016-08-16T02:42:01Z | 2021-05-01T23:16:39Z | null | CONTRIBUTOR | null | xref #13961
```
In [3]: df = pd.DataFrame({'date': pd.period_range('2015-01-01', freq='D', periods=5),
...: 'a': np.arange(5)},
...: index=pd.MultiIndex.from_arrays([
...: [1,2,3,4,5],
...: pd.period_range('2015-0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14009 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14009/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14009/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14009/events | https://github.com/pandas-dev/pandas/issues/14009 | 171,386,005 | MDU6SXNzdWUxNzEzODYwMDU= | 14,009 | 'items' can not be the column name of a DataFrame? | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-08-16T11:31:25Z | 2016-08-16T13:19:04Z | 2016-08-16T13:19:00Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame({'items':[1,2,3], 'test': [2,3,4]})
df.items
```
#### Expected Output
```
0 1
1 2
2 3
Name: items, dtype: int64
```
#### Given Output
`AttributeError: 'DataFrame' object has no attribute 'items'`
#### output of `pd.show_versions()`
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14010 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14010/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14010/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14010/events | https://github.com/pandas-dev/pandas/pull/14010 | 171,417,376 | MDExOlB1bGxSZXF1ZXN0ODE0NzYxMzI= | 14,010 | TST: add comprehensive coercion tests | {
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- [x] passes `git diff upstream/master | flake8 --diff`
1st attempt to make dtype related tests more comprehensive.
Validate whether tests classes have test methods covering dtype and Series/Index. Some of them are empty yet, going to add it gradually.
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https://api.github.com/repos/pandas-dev/pandas/issues/14011 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14011/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14011/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14011/events | https://github.com/pandas-dev/pandas/issues/14011 | 171,462,081 | MDU6SXNzdWUxNzE0NjIwODE= | 14,011 | DataFrame with one column, which is categorical: single rows convert to scalars | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2016-08-16T16:41:16Z | 2019-11-10T19:11:28Z | 2019-11-10T19:11:28Z | NONE | null | #### Code Sample, a copy-pastable example if possible
``` python
In [2]: pd.DataFrame({'x': pd.Categorical('a b c d e'.split())}).iloc[0]
Out[2]: 'a'
```
#### Expected Output
I think this should be a Series with one element:
``` python
0 a
dtype: category
Categories (5, object): [a, b, c, d, e]
```
by analogy wi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14012 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14012/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14012/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14012/events | https://github.com/pandas-dev/pandas/issues/14012 | 171,473,817 | MDU6SXNzdWUxNzE0NzM4MTc= | 14,012 | read_csv treats \x00 as EOL instead of null value | {
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"... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-08-16T17:35:10Z | 2016-08-17T10:26:54Z | 2016-08-17T10:26:53Z | NONE | null | Not sure if this is a bug, but it took me a long time to figure out what was going on in a much bigger datafile than the sample one below.
#### Code Sample, a copy-pastable example if possible
import pandas
import StringIO
data='''var1,var2,var3
1,2,0
2,\x00,0
3,4,0
4,5,0
'''
print pandas.read_csv(StringIO.StringIO... | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/j... | 10 | 2016-08-16T18:50:15Z | 2020-02-20T14:14:13Z | 2018-05-09T10:24:38Z | CONTRIBUTOR | null | I found another oddity while digging through #13966.
Begin with the initial DataFrame in that issue:
```
df = pd.DataFrame({'A': [1] * 20 + [2] * 12 + [3] * 8,
'B': np.arange(40)})
```
Save the grouping:
```
In [215]: g = df.groupby('A')
```
Compute the rolling sum:
```
In [216]: r = g.rolling(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14014 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14014/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14014/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14014/events | https://github.com/pandas-dev/pandas/issues/14014 | 171,501,126 | MDU6SXNzdWUxNzE1MDExMjY= | 14,014 | .groupby() .value_counts() incompatible with .reset_index() in 0.18.1 | {
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``` python
df = pd.DataFrame([[0,1],[0,1],[0,2],[1,1]], columns=['a','b'])
df
a b
0 0 1
1 0 1
2 0 2
3 1 1
df.groupby('a').b.value_counts().reset_index()
ValueError: cannot insert b, already exists
```
#### Expected Output
In version 0.18.0, the output was:
``` python
a b 0
0 0 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14015 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14015/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14015/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14015/events | https://github.com/pandas-dev/pandas/issues/14015 | 171,526,646 | MDU6SXNzdWUxNzE1MjY2NDY= | 14,015 | BUG: multi-indexing sorting on axis=1 on >0 levels | {
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#### Code Sample, a copy-... | {
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... | 1 | 2016-08-16T23:00:03Z | 2019-10-21T19:52:16Z | null | CONTRIBUTOR | null | This is a follow-up issue to #13854.
#### Code Sample, a copy-pastable example if possible
``` python
cidx = pd.CategoricalIndex(['y', 'x'], categories=list("xyz"), ordered=True)
df = pd.DataFrame([[10, 11, 12]])
pd.concat([df, df], keys=cidx).index.levels[0]
Out[32]: Index(['y', 'x'], dtype='object')
```
#### Expect... | {
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... | 3 | 2016-08-16T23:37:04Z | 2019-10-14T00:39:14Z | 2019-10-14T00:39:13Z | CONTRIBUTOR | null | `make_axis_dummies` has some problems with an axis containing a `CategoricalIndex` with extra categories.
#### Code Sample, a copy-pastable example if possible
``` python
# category `z` is not used
cidx = pd.CategoricalIndex(list("xy"), categories=list("xyz"))
df = pd.DataFrame([[10, 11]], columns=cidx)
ldf = pd.Panel... | {
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"followers_url": "https://api.github.com/users/j... | 10 | 2016-08-16T23:57:54Z | 2021-05-17T15:17:30Z | 2021-05-17T15:17:30Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
``` python
idx = pd.MultiIndex.from_product([['A'], [0, 1]])
df = pd.DataFrame({'cat': pd.Categorical(['a', 'b'])}, index=idx)
df
Out[19]:
cat
A 0 a
1 b
df.unstack()
Out[21]:
cat
0 1
A a b
```
Categorical dtype is lost:
``` python
df.uns... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14019 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14019/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14019/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14019/events | https://github.com/pandas-dev/pandas/pull/14019 | 171,570,854 | MDExOlB1bGxSZXF1ZXN0ODE1ODE4NTE= | 14,019 | BUG: Parse NULL char as null value | {
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"... | closed | false | null | [] | {
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I understand the motivation (the ability to r... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-08-17T13:56:40Z | 2016-08-26T20:50:24Z | 2016-08-26T20:50:24Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```
import numpy as np
tst = pd.DataFrame({'a':[1,2,1,np.nan],'b':[np.nan, np.nan, np.nan, np.nan]}, dtype='category')
tst.fillna(value=tst.median()) # here second column median is evaluated to np.nan
```
and the result is:
```
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-08-17T14:39:35Z | 2016-08-18T06:55:11Z | 2016-08-17T18:55:23Z | CONTRIBUTOR | null | It seems there is an issue when adding a timedelta to a Series of type datetime64[ns, some tz]. There seems to be an issue with the offset/DST.
#### Code Sample, a copy-pastable example if possible
```
import pandas
sr = pandas.Series(pandas.DatetimeIndex(["2016-11-03 16:00:00+01:00", "2016-10-25 17:00:00+02:00"]).tz... | {
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Feature request:
DF... | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2016-08-17T20:11:46Z | 2017-05-12T16:25:19Z | 2017-05-12T16:25:18Z | CONTRIBUTOR | null | When converting a fractional year to a `Timedelta` object the float is truncated:
```
print pd.to_timedelta(1., unit='Y')
365 days 05:49:12
print pd.to_timedelta(1.5, unit='Y')
365 days 05:49:12
print pd.to_timedelta(0.5, unit='Y')
0 days 00:00:00
print pd.to_timedelta(0.9, unit='Y')
0 days 00:00:00
```
Using a fl... | {
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- [x] passes `git diff upstream/master | flake8 --diff`
fix test to meet period dtype #13941.
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https://api.github.com/repos/pandas-dev/pandas/issues/14026 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14026/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14026/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14026/events | https://github.com/pandas-dev/pandas/pull/14026 | 171,799,946 | MDExOlB1bGxSZXF1ZXN0ODE3NDUwMDU= | 14,026 | ENH: Add groupby().ngroup() method to count groups (#11642) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14027 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14027/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14027/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14027/events | https://github.com/pandas-dev/pandas/pull/14027 | 171,807,033 | MDExOlB1bGxSZXF1ZXN0ODE3NDk3MzA= | 14,027 | BUG: Categoricals shouldn't allow non-strings when object dtype is passed (#13919) | {
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"color": "ffa... | closed | false | null | [] | null | 0 | 2016-08-18T02:55:24Z | 2016-08-19T12:41:42Z | 2016-08-18T03:27:20Z | CONTRIBUTOR | null | - [ ] closes #13919
- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
**Why this change is needed:** Categorical variables are by definition single types, so to allow them to take on various different kinds of values is misleading. Object dtypes should only be allo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14028 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14028/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14028/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14028/events | https://github.com/pandas-dev/pandas/pull/14028 | 171,812,048 | MDExOlB1bGxSZXF1ZXN0ODE3NTMxNDE= | 14,028 | BUG: read_fwf inference should respect skiprows (#11256) | {
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- [X] closes #11256
- [X] 3 tests added / passed
- [X] passes `git diff upstream/master | flake8 --diff`
- [X] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/14029 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14029/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14029/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14029/events | https://github.com/pandas-dev/pandas/issues/14029 | 171,828,155 | MDU6SXNzdWUxNzE4MjgxNTU= | 14,029 | proposal: new sorting order for columns | {
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``` python
import pandas as pd
df = pd.DataFrame({'good': [10], 'excellent': [20], 'bad': [10]})
df.head()
bad excellent good
0 10 20 10
```
and If I want to sort... | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/14031 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14031/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14031/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14031/events | https://github.com/pandas-dev/pandas/pull/14031 | 171,841,164 | MDExOlB1bGxSZXF1ZXN0ODE3NzI3ODI= | 14,031 | Require a problem description in PRs | {
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Add text to the PR template to require such a problem description, so that one can comprehend why a change was made even years later.
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[pickles.zip](https://github.com/pydata/pandas/files/424538/pickles.zip)
```
df1 = pd.read_pickle('df1.pkl')
df2 = pd.read_pickle('df2.pkl')
merged = df1.merge(df2, how='outer', on=['DateTime', 'valid_datetime'])
#... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14034 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14034/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14034/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14034/events | https://github.com/pandas-dev/pandas/issues/14034 | 171,908,309 | MDU6SXNzdWUxNzE5MDgzMDk= | 14,034 | tz_localize issue within DatetimeTZBlock | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-08-18T14:01:10Z | 2016-08-18T14:39:13Z | 2016-08-18T14:38:51Z | CONTRIBUTOR | null | Using the .where operation on a localized DataFrame Column may raise an exception due to a failure to tz_localize the result of the operation in DatetimeTZBlock
#### Code Sample, a copy-pastable example if possible
```
import pandas
import pytz
TZ = pytz.timezone("Europe/Brussels")
# TZ = None # <== with TZ = None, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14035 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14035/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14035/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14035/events | https://github.com/pandas-dev/pandas/pull/14035 | 171,924,878 | MDExOlB1bGxSZXF1ZXN0ODE4MzI4MTE= | 14,035 | BUG: #14016. Preserve categorical keys through concat | {
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"de... | closed | false | null | [] | null | 7 | 2016-08-18T15:08:37Z | 2017-05-13T21:36:48Z | 2017-05-13T21:36:48Z | CONTRIBUTOR | null | - [x] closes #14016
- [x] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/14036 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14036/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14036/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14036/events | https://github.com/pandas-dev/pandas/issues/14036 | 171,965,049 | MDU6SXNzdWUxNzE5NjUwNDk= | 14,036 | 0.18.1 to_csv ignoring columns argument | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14037 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14037/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14037/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14037/events | https://github.com/pandas-dev/pandas/pull/14037 | 171,998,612 | MDExOlB1bGxSZXF1ZXN0ODE4ODY0ODU= | 14,037 | DOC: unpin IPython version (GH13639) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14038 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14038/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14038/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14038/events | https://github.com/pandas-dev/pandas/pull/14038 | 172,036,875 | MDExOlB1bGxSZXF1ZXN0ODE5MTQ0NDM= | 14,038 | BUG: iloc fails with non lex-sorted MultiIndex #13797 | {
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- [x] tests added / passed pandas/tests/test_multilevel.py
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
corrected how iloc handles tuple-keys for multiindex
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https://api.github.com/repos/pandas-dev/pandas/issues/14039 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14039/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14039/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14039/events | https://github.com/pandas-dev/pandas/pull/14039 | 172,041,832 | MDExOlB1bGxSZXF1ZXN0ODE5MTc3NTM= | 14,039 | CLN: Removed DataFrame.to_wide | {
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xref https://github.com/pydata/pandas/issues/13777
No tests for this deprecation beforehand to remove :disappointed:
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https://api.github.com/repos/pandas-dev/pandas/issues/14040 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14040/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14040/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14040/events | https://github.com/pandas-dev/pandas/issues/14040 | 172,043,981 | MDU6SXNzdWUxNzIwNDM5ODE= | 14,040 | BUG: dataframe concat method error when using join='inner' | {
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```
df1 = pd.DataFrame(np.arange(9).reshape(3, 3), columns=['a', 'b', 'c'])
df3 = pd.DataFrame(np.arange(20, 26).reshape(3, 2), columns=['a', 'd'], index=[2, 3, 4])
pd.concat([df1, df3], axis=1, join='inner')
a b c a d
0 0 1 2 NaN NaN
1 3 4 5 NaN Na... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14041 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14041/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14041/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14041/events | https://github.com/pandas-dev/pandas/pull/14041 | 172,060,545 | MDExOlB1bGxSZXF1ZXN0ODE5MzAzOTM= | 14,041 | CLN: Drop lags parameter from Panel.shift | {
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xref #6928
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```
import pandas as pd
import numpy as np
indices = pd.date_range('2016-01-01 00:00:00+0200', freq='S', periods=10)
np.split(indices, indices_or_sections=[])
Out:
[DatetimeIndex(['2015-12-31 20:00:00+02:00', '2015-12-31 20:00:01+02:00',
'2015-12-31 ... | {
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] | closed | false | null | [] | null | 3 | 2016-08-19T07:55:36Z | 2019-10-07T01:34:07Z | 2019-10-07T01:34:07Z | NONE | null | When running the 0.18.1 self tests with python-3.5.2 on NetBSD, I see a couple of test failures. One is tracked in #12337, here's the log for the others:
```
======================================================================
ERROR: test_secondary_kde (pandas.tseries.tests.test_plotting.TestTSPlot)
---------------... | {
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whatsnew
extended doc string for unique addressing the issue with timezone aware datetimes ( see #13565 )
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https://api.github.com/repos/pandas-dev/pandas/issues/14046 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14046/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14046/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14046/events | https://github.com/pandas-dev/pandas/pull/14046 | 172,114,854 | MDExOlB1bGxSZXF1ZXN0ODE5NjkxMjA= | 14,046 | DOC: add data_columns to doc string of to_hdf and HDFStore.append | {
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"color": "AD7... | closed | false | null | [] | null | 13 | 2016-08-19T13:04:32Z | 2016-09-13T22:55:03Z | 2016-09-11T20:26:01Z | CONTRIBUTOR | null | - [ ] closes #13919
- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
**Why this change is needed:** Categorical variables are by definition single types, so to allow them to take on different types of values is misleading. Object dtypes should only be allowed whe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14048 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14048/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14048/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14048/events | https://github.com/pandas-dev/pandas/issues/14048 | 172,134,070 | MDU6SXNzdWUxNzIxMzQwNzA= | 14,048 | BUG/API PeriodIndex handles int list/array differently | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2016-08-19T13:42:54Z | 2018-10-25T13:33:20Z | 2018-10-25T13:33:15Z | MEMBER | null | When we pass a list of numbers, it parsed as date as it is. The same values is regarded as `ordinal` if it is passed as an array.
#### Code Sample, a copy-pastable example if possible
```
raw = [2005, 2007, 2009]
pd.PeriodIndex(raw, freq='A')
# PeriodIndex(['2005', '2007', '2009'], dtype='period[A-DEC]', freq='A-DEC'... | {
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```
import pandas as pd
import numpy as np
rng = pd.date_range('01-01-1988',periods=130000,freq='H')
long_df = pd.DataFrame(np.random.randn(130000,4),index = rng, columns=['bar','baz','foo','zoo'])
dfmi = long_df.stack().sort_index()
```
---
```
print (dfmi)
1988-01-01 00:00:00 bar -1.129213
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#### Code Sample, a copy-pastable example if possible
data.to_gbq('ANYTABLE',project_id ='ANYPROJECT',verbose = False,if_exists = 'append')
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-08-19T22:13:18Z | 2016-11-15T22:20:35Z | 2016-08-26T20:50:24Z | CONTRIBUTOR | null | - [x] closes #14021
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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... | 34 | 2016-08-20T14:05:04Z | 2019-07-05T00:46:58Z | 2019-07-05T00:46:58Z | CONTRIBUTOR | null | When getting the values of a dataframe with multiple columns with a single type datetime64[ns,UTC], it returns a numpy array with dtype=object instead of dtype=datetime64[ns,UTC].
When returning a single column with dtype=datetime64[ns,UTC] or returning a multiple columns of dtype=datetime64[ns] (ie without tz), it wor... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Changed the way in which the original data frame is copied (dropped use of .values, since it does not preserve dtypes).
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Closes #12546.
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2) Accept scalars for the values when a dictionary is passed in for `na_values`
Closes #12224.
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... | 8 | 2016-08-21T13:40:55Z | 2021-05-01T23:20:10Z | 2021-05-01T23:20:10Z | CONTRIBUTOR | null | after #13145 some RunTimeWarnings remain in the codebase. We should look at these and silence (using `np.errstate`), or fix if we are testing something odd. (running the full test suite will show these; I have extracted them, some are showing a level too low in the stack).
- [ ] `pandas/pandas/tseries/index.py:526: Run... | {
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#### Code Sample, a copy-pastable example if possible
``` python
In [2]: pd.Categorical.from_codes([0, 0, 1], categories=['a', 'b', 'c'], ordered=np.array([0, 1, 2]))
Out[2]: ------------------------------------------------------------------... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
-read_csv with engine=c throws error when encoding=UTF_16 (anything other than utf-16)
-improved nosetests and moved to in pandas/io/tests/common.py
-passes `pep8radius upstream/master --diff` a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14061 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14061/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14061/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14061/events | https://github.com/pandas-dev/pandas/pull/14061 | 172,352,006 | MDExOlB1bGxSZXF1ZXN0ODIxMjI5ODU= | 14,061 | ENH: add parameter to to_html for HTML border | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-08-22T00:53:20Z | 2017-04-05T02:08:04Z | 2016-08-31T08:07:31Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/11563
Previously this was hardcoded to `<table border="1" ...>`. Now we allow an option to `to_html`.
The only controversial bit here may be the option. I really don't like having options control output, but given that this is essentially a repr I think it's OK. It's als... | {
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This PR adds an option to not sort levels when calling `from_product`. Using this option yields a few benefits:
1. It's simpler -- resulting levels on the MultiIndex a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14063 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14063/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14063/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14063/events | https://github.com/pandas-dev/pandas/pull/14063 | 172,365,227 | MDExOlB1bGxSZXF1ZXN0ODIxMzE0MTI= | 14,063 | BUG: Align to_csv signatures with DataFrame and Series | {
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Closes #14054.
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https://api.github.com/repos/pandas-dev/pandas/issues/14064 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14064/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14064/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14064/events | https://github.com/pandas-dev/pandas/pull/14064 | 172,469,840 | MDExOlB1bGxSZXF1ZXN0ODIyMDI5NDE= | 14,064 | BUG: fix read_gbq lost precision for longs above 2^53 and floats above 10k | {
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- lost precision for longs above 2^53
- and floats above 10^4
Also contains `test_gbq.py` clean up
- [x] closes #14020, #14305
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] updated docs
- [x] whatsnew entry
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`dfEL = pd.read_csv(IN_PATH, delimiter='\\u00A7', encoding='utf-8')`
which I've also tried with other ways of writing the delimiter, e.g.:
`dfEL = pd.read_csv(IN_PATH, delimiter='§', encoding='utf-8')`
These other methods don't work, and generate a `UnicodeDecodeError: 'utf-8' codec can't... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14066 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14066/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14066/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14066/events | https://github.com/pandas-dev/pandas/issues/14066 | 172,562,229 | MDU6SXNzdWUxNzI1NjIyMjk= | 14,066 | read_csv: European numbers do not work with dates | {
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"followers_url": "https://api.github.com/users/jr... | 10 | 2016-08-22T21:42:16Z | 2016-09-13T19:45:06Z | 2016-08-27T13:31:30Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
Using the following reader leads to omission of the dates resulting in no index:
```
file_, index_col=0,
header=4, sep=';', quoting=1, parse_dates=True,
encoding='latin-1', dayfirst=True,
# decimal=',', tho... | {
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http://stackoverflow.com/questions/39089513/pandas-sqlalchemy-engine-does-not-produce-hierarchical-index-but-legacy-mode-do
#### data ('test.csv'):
```
AlignmentId,Classifier,Value
aln1,classifier1,True
aln1,classifier2,False
aln2,classifier1,True
```
#### Sample code:
```
import pandas as p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14068 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14068/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14068/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14068/events | https://github.com/pandas-dev/pandas/issues/14068 | 172,576,542 | MDU6SXNzdWUxNzI1NzY1NDI= | 14,068 | TimedeltaIndex + Timestamp -> no overflow error | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-08-22T23:11:42Z | 2016-09-27T10:43:45Z | 2016-09-27T10:43:45Z | CONTRIBUTOR | null | When adding a TimedeltaIndex and a Timestamp this overflows instead of raising (pydata/xarray#975).
```
import pandas as pd
# overflow error (correct)
pd.to_timedelta(106580, 'D') + pd.Timestamp('2000')
# no overflow error (?)
pd.to_timedelta([106580], 'D') + pd.Timestamp('2000')
```
#### output of `pd.show_versions(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14069 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14069/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14069/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14069/events | https://github.com/pandas-dev/pandas/pull/14069 | 172,597,107 | MDExOlB1bGxSZXF1ZXN0ODIyOTMyNjk= | 14,069 | TST: Add tests for internal EOF in read_csv | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14070 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14070/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14070/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14070/events | https://github.com/pandas-dev/pandas/issues/14070 | 172,611,747 | MDU6SXNzdWUxNzI2MTE3NDc= | 14,070 | DatetimeIndex.to_period does not support multiple of frequencies | {
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... | open | false | null | [] | null | 4 | 2016-08-23T04:50:53Z | 2021-05-01T23:21:41Z | null | CONTRIBUTOR | null | The code below is the simplest way I found to "snap" a DateTimeIndex to some "frequency" (is there any better way?).
I would have expected the to_period method to work as flexibly as the resample method that accepts any rule (like 15T, 2H, ...) but the to_period method does not appear to handle properly multiples of f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14071 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14071/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14071/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14071/events | https://github.com/pandas-dev/pandas/issues/14071 | 172,681,976 | MDU6SXNzdWUxNzI2ODE5NzY= | 14,071 | DatetimeIndex periods: Change in behavior between 0.17.1 and 0.18.0 | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-08-23T12:05:58Z | 2016-08-24T23:26:32Z | 2016-08-24T23:26:10Z | NONE | null | This is not necessarily a bug, but a change in behavior that could not find reported elsewhere.
``` python
import pandas as pd,datetime as dt
pd.DatetimeIndex(freq=pd.tseries.offsets.DateOffset(months=6),end=dt.date(2016,1,1),
closed='right',periods=3)
```
In version 0.17.1 you get
``` python
DatetimeIndex(['2015-07... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14072 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14072/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14072/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14072/events | https://github.com/pandas-dev/pandas/issues/14072 | 172,724,859 | MDU6SXNzdWUxNzI3MjQ4NTk= | 14,072 | pivot_table margins bottom-left total does not correspond to other content when dropna=False | {
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... | 3 | 2016-08-23T15:07:00Z | 2016-09-13T22:10:38Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
In:
M = pd.DataFrame([
[1, 'a', 'A'],
[1, 'b', 'B'],
[1, 'c', None]],
columns=['x', 'y', 'z'])
P = M.pivot_table(values='x', index='y', columns='z', aggfunc='sum', fill_value=0, margins=True,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14073 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14073/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14073/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14073/events | https://github.com/pandas-dev/pandas/pull/14073 | 172,773,910 | MDExOlB1bGxSZXF1ZXN0ODI0MTc3OTU= | 14,073 | DOC: split docstring into multiple lines in excel.py | {
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"followers_url": "https://api.github.com/users/jr... | 10 | 2016-08-23T18:36:41Z | 2016-09-15T14:59:32Z | 2016-09-15T14:59:32Z | CONTRIBUTOR | null | - [x] closes #13967
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
A follow-up on #14030.
Not sure whether this is the good way to do it - this seems too verbose.
I will add it to `parsers.py` or move it to `common.py` once it's done.
I also thought about mov... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14074 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14074/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14074/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14074/events | https://github.com/pandas-dev/pandas/issues/14074 | 172,826,679 | MDU6SXNzdWUxNzI4MjY2Nzk= | 14,074 | Pandas does not respect shared axes in matplotlib | {
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... | 3 | 2016-08-23T22:55:13Z | 2021-05-01T23:24:00Z | null | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
x axis truncated by second call
```
ser1 = pd.Series({0:1, 1:2, 2:3})
ser2 = pd.Series({0:.5, 1:.1})
_, axes = plt.subplots(1, 2, sharex=True, sharey=True)
ser1.plot(ax=axes[0])
ser2.plot(ax=axes[1])
```
![image](https://cloud.githubusercontent.com/assets/61613... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14075 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14075/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14075/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14075/events | https://github.com/pandas-dev/pandas/pull/14075 | 172,851,109 | MDExOlB1bGxSZXF1ZXN0ODI0NzI0Mjg= | 14,075 | add utility methods get_groups() and iter_groups() to class _GroupBy | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
added utility methods get_groups() and iter_groups() to groupby objects
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https://api.github.com/repos/pandas-dev/pandas/issues/14076 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14076/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14076/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14076/events | https://github.com/pandas-dev/pandas/issues/14076 | 172,859,725 | MDU6SXNzdWUxNzI4NTk3MjU= | 14,076 | pandas merge appear non-existent value the column b should not have value '1' | {
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t = [1, 2, 3, 4, 5]
tt = [2, 3, 4, 5, 7]
d1 = DataFrame(t, columns=['a'], index=t)
d2 = DataFrame(tt, columns=['b'])
r = pd.merge(d1, d2, how='left', left_index=True, right_on='b', copy=False)
print(r)
pd.show_versions()
#### Expected Output
/usr/local/Cellar... | {
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Closes #14066.
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https://api.github.com/repos/pandas-dev/pandas/issues/14078 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14078/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14078/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14078/events | https://github.com/pandas-dev/pandas/issues/14078 | 172,945,826 | MDU6SXNzdWUxNzI5NDU4MjY= | 14,078 | groupby aggregate: class as `arg` value | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-08-24T13:03:49Z | 2016-08-25T10:14:42Z | 2016-08-24T22:42:24Z | NONE | null | Feature request: it would be nice if `aggregate` allowed classes as an argument, using its constructor as the function to aggregate by. In the code sample it recognises `frozenset` as an iterable because it happens to have such an instance method.
I'd suggest a check like:
``` python
>>> inspect.isclass(frozenset)
Tr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14079 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14079/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14079/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14079/events | https://github.com/pandas-dev/pandas/issues/14079 | 172,989,572 | MDU6SXNzdWUxNzI5ODk1NzI= | 14,079 | Improve poor performance of groupby resampling | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2016-08-24T15:48:46Z | 2021-05-25T01:56:58Z | 2016-08-24T22:56:36Z | NONE | null | When trying to resample transactions data where there are infrequent transactions for a large number of people, I get horrible performance. Compare the function annualize with the clunkier but faster annualize2 below. Ideally resample should be able to handle multiindex data and resample on 1 of the dimensions without ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14080 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14080/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14080/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14080/events | https://github.com/pandas-dev/pandas/issues/14080 | 172,992,293 | MDU6SXNzdWUxNzI5OTIyOTM= | 14,080 | Adding big offset to timedelta generates a python crash | {
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"followers_url": "https://api.github... | 10 | 2016-08-24T15:59:39Z | 2018-11-18T21:56:56Z | 2018-11-18T21:56:56Z | NONE | null | #### Code Sample, a copy-pastable example if possible
##### In:
```
import pandas as pd
from pandas.tseries.frequencies import to_offset
d = pd.Timestamp("2000/1/1")
d + to_offset("D")*100**25
```
##### Out:
**=> python crash**
Fatal Python error: Cannot recover from stack overflow.
Current thread 0x00002b00 (most... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14081 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14081/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14081/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14081/events | https://github.com/pandas-dev/pandas/issues/14081 | 172,995,419 | MDU6SXNzdWUxNzI5OTU0MTk= | 14,081 | ValueError plotting bar plot from DataFrame with existing Axes | {
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] | closed | false | null | [] | null | 3 | 2016-08-24T16:11:21Z | 2016-08-24T16:37:11Z | 2016-08-24T16:34:25Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
The following code works, and when pasted in a Jupyter Notebook or QT console yields the expected bar plot:
``` python
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
# Create some data to plot
df = pd.DataFrame(
dict(Feature1=[10, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14082 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14082/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14082/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14082/events | https://github.com/pandas-dev/pandas/issues/14082 | 173,014,700 | MDU6SXNzdWUxNzMwMTQ3MDA= | 14,082 | DataFrame construction breaks python on numpy empty_like | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-08-24T17:41:43Z | 2016-08-24T17:53:38Z | 2016-08-24T17:53:11Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
http://stackoverflow.com/questions/39129419/why-does-dataframe-construction-break-python-on-numpy-empty-like
```
import numpy as np
import pandas as pd
a = np.array([None, None], dtype=object)
print(a) # [None None]
dfa = pd.DataFrame(a)
print(dfa)
# ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14083 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14083/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14083/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14083/events | https://github.com/pandas-dev/pandas/issues/14083 | 173,063,525 | MDU6SXNzdWUxNzMwNjM1MjU= | 14,083 | Enabling auto-collapsing of Excel dumped from df | {
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In my job, we use a lot of Pandas (though not always very professionally). One very useful case is to build a dataframe conatining data from several instruments for several items. I tend to use a lot of multi-indexing columns.
In order to view (and modify) the columns, we like to save the dataframe in an Exc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14084 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14084/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14084/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14084/events | https://github.com/pandas-dev/pandas/issues/14084 | 173,072,677 | MDU6SXNzdWUxNzMwNzI2Nzc= | 14,084 | resample drops dtype('O') columns from DataFrame (but not Series) | {
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"color": "AD7... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-08-24T22:25:55Z | 2016-08-31T23:34:57Z | 2016-08-24T22:36:50Z | NONE | null | #### Code Sample, a copy-pastable example if possible
``` python
import numpy
import pandas as pd
idx = pd.date_range('1/1/2016', periods=100, freq='d')
z = pd.DataFrame({"z": numpy.zeros(len(idx))}, index=idx)
obj = pd.DataFrame({"obj": numpy.zeros(len(idx), dtype=numpy.dtype('O'))}, index=idx)
nan = pd.DataFrame({... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14085 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14085/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14085/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14085/events | https://github.com/pandas-dev/pandas/pull/14085 | 173,088,307 | MDExOlB1bGxSZXF1ZXN0ODI2Mzk1ODY= | 14,085 | TST/DOC: apply date() with timezones | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-08-25T00:24:10Z | 2016-08-25T22:20:22Z | 2016-08-25T22:20:12Z | CONTRIBUTOR | null | - [x] closes #11757
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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``` python
import pandas as pd
try:
pd.read_csv('this_file_does_not_exist.csv')
except FileNotFoundError:
print('This should execute.')
```
Instead, I get an OSError, which tells me in text that `OSError: File b'this_file_does_not_exist.csv' does not exist`.
https://docs.python.org/3.5/l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14087 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14087/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14087/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14087/events | https://github.com/pandas-dev/pandas/issues/14087 | 173,291,741 | MDU6SXNzdWUxNzMyOTE3NDE= | 14,087 | Adding datetime.timedelta to Series breaks via .add() but works via addition | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-08-25T19:42:39Z | 2016-08-25T20:40:09Z | 2016-08-25T19:55:50Z | NONE | null | Adding a datetime.timedelta to a series of datetime64[ns, UTC] breaks when using the Series .add(offset) method, but works when doing series + offset. This behaviour seems unexpected to me.
Furthermore, adding a pd.Timedelta drops timezone.
``` python
import pandas as pd
import datetime
import pytz
datetime_series =... | {
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``` python
import pytz
import datetime
import pandas as pd
foo = pd.Series(datetime.datetime(2016, 8, 23, 12, tzinfo=pytz.utc))
foo - datetime.datetime(2016, 8, 22, 12, tzinfo=pytz.utc)
---------------------------------------------------------------------------
V... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14089 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14089/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14089/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14089/events | https://github.com/pandas-dev/pandas/issues/14089 | 173,329,137 | MDU6SXNzdWUxNzMzMjkxMzc= | 14,089 | df.ix causing exception when index is not from 0 | {
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When the index is set from 0, df.ix[0,0] works fine.
```
>>> df = pd.DataFrame({'A':[1,2,3], 'B':[10,20,30]},index=[0,1,2])
>>> df
A B
0 1 10
1 2 20
2 3 30
>>> df.ix[0,1]
10
```
When the index is set from other 0, df.ix[0,0] cases exception.
```
>>> d... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-08-26T10:41:20Z | 2016-09-08T10:35:56Z | 2016-09-08T10:35:41Z | CONTRIBUTOR | null | - [x] closes #14088
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/14091 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14091/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14091/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14091/events | https://github.com/pandas-dev/pandas/issues/14091 | 173,433,148 | MDU6SXNzdWUxNzM0MzMxNDg= | 14,091 | Can't install pandas-0.18.1 | {
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[error.txt](https://github.com/pydata/pandas/files/439154/error.txt)
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https://api.github.com/repos/pandas-dev/pandas/issues/14092 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14092/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14092/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14092/events | https://github.com/pandas-dev/pandas/pull/14092 | 173,513,060 | MDExOlB1bGxSZXF1ZXN0ODI5MzE0NzI= | 14,092 | BUG: Float64Index.get_value() for tuples. | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-08-26T18:19:55Z | 2016-08-26T20:21:45Z | 2016-08-26T20:21:02Z | CONTRIBUTOR | null | - [x] closes #13509
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Currently, trying to retrieve one tuple-valued entry in a `Series` with
a `Float64Index` will fail (GH 13509). This fixes that bug.
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https://api.github.com/repos/pandas-dev/pandas/issues/14093 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14093/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14093/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14093/events | https://github.com/pandas-dev/pandas/issues/14093 | 173,525,866 | MDU6SXNzdWUxNzM1MjU4NjY= | 14,093 | ERR: stricter checks on Index construction when tz is passed | {
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```
In [1]: pd.Index([datetime.datetime(2012,1,1), datetime.datetime(2012,1, 2)], tz="Europe/Brussels")
Out[1]: DatetimeIndex(['2012-01-01 00:00:00+01:00', '2012-01-02 00:00:00+01:00'], dtype='datetime64[ns, Europe/Brussels]'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14094 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14094/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14094/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14094/events | https://github.com/pandas-dev/pandas/issues/14094 | 173,576,164 | MDU6SXNzdWUxNzM1NzYxNjQ= | 14,094 | CLN: What is the purpose of datetools.py? | {
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"followers_url": "https://api.github.com/users/jr... | 21 | 2016-08-27T03:58:40Z | 2016-09-07T13:16:02Z | 2016-09-07T13:16:02Z | MEMBER | null | The doc-string at the top of <a href="https://github.com/pydata/pandas/blob/0e61847e111a3ba181f16c8b9b974c74d360ad2e/pandas/core/datetools.py">datetools.py</a> seems to indicate this is just a hodge-podge of datetime-related objects. Seems like that could be cleaned up unless there is good reason to have it.
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https://api.github.com/repos/pandas-dev/pandas/issues/14095 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14095/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14095/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14095/events | https://github.com/pandas-dev/pandas/issues/14095 | 173,579,377 | MDU6SXNzdWUxNzM1NzkzNzc= | 14,095 | BUG: resolvers in pandas.eval should accept list-like | {
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```
resolvers : list of dict-like or None, optional
A list of objects implementing the __getitem__ special method that you can use to inject an additional collection of namespaces to use for variable lookup. For example, this is used in the ... | {
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Partially addresses #8254.
Closes #5612 because `pd.to_datetime` does have a `format` argument.
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- [x] passes `git diff upstream/master | flake8 --diff`
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Just putting this up, was doing some time ago, but not yet fully ready, and thought to already merge this (if the content is OK) to not get too much conflicts.
Gist: removing redundancy by gathering tests... | {
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https://ci.appveyor.com/project/jreback/pandas-465/build/job/p8hju341jyhnkogc
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2) Deprecate `Timestamp.to_datetime`
3) Issue `UserWarning` in `Timestamp.to_datetime` when nanoseconds is non-zero
`NaT` is also a `_Timestamp`, so the second deprecation covered the first one as well.
Closes #8254.
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```
#!/usr/bin/env python3
import matplotlib.pyplot as plt
import pandas as pd
# some data
s1 = pd.Series(data=[5,7,6,8,7], index=[1,2,3,4,5])
s2 = pd.Series(data=[6,4,5,3,4], index=[1,2,3,4,5])
ax = plt.subplot(2, 1, 1)
s1.plot(ax=ax)
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import pandas as pd
import numpy as np
from time import time
import sys
df_data = pd.DataFrame(np.random.randint(0,int(1e6),int(20e6)), columns=['pop_id'])
df_data['PL_dB'] = 50 + np.random.random(df_data.shape[0]) \* 100
df_data['Rx_dBm'] = 23 - df_data.PL_dB
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-08-28T02:18:43Z | 2016-08-28T13:11:55Z | 2016-08-28T13:11:39Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
df = pd.DataFrame({'a': [1, 1, 2, 2], 'b': pd.to_datetime(['a', 'a', '12-23-2015', '12-24-2015'],
errors='coerce')})
df.groupby('a').b.first().dtype
```
#### Expected Output
last line is supposed to show datetime64[ns] bu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14105/events | https://github.com/pandas-dev/pandas/pull/14105 | 173,634,787 | MDExOlB1bGxSZXF1ZXN0ODMwMDkxMzY= | 14,105 | DEPR: Deprecate pandas.core.datetools | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14106/events | https://github.com/pandas-dev/pandas/issues/14106 | 173,637,022 | MDU6SXNzdWUxNzM2MzcwMjI= | 14,106 | MultiIndex with dateutil tzlocal data corruption | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-08-28T09:05:12Z | 2016-08-28T13:20:14Z | 2016-08-28T13:14:10Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
In [1]: %paste
import datetime
from dateutil.tz import tzlocal, tzutc
import pandas
d = {
datetime.datetime(2016, 8, 26, 20, 23, tzinfo=tzlocal()): {
'A': 10481.0,
'B': 12,
'C': 'text'
},
datetime.datetime(2016, 8, 26, 20, 2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14107 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14107/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14107/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14107/events | https://github.com/pandas-dev/pandas/issues/14107 | 173,641,221 | MDU6SXNzdWUxNzM2NDEyMjE= | 14,107 | pandas.core.groupby.SeriesGroupBy.hist doesn't propagate **kwargs | {
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"description": nul... | closed | false | null | [] | null | 3 | 2016-08-28T11:11:42Z | 2021-05-01T23:26:12Z | 2021-05-01T23:26:11Z | NONE | null | When calling `my_groupby.hist(bins=8, histtype='stepfilled')` I would expect the same behavior as when calling `my_series.hist(bins=8, histtype='stepfilled')` separately for each of the groups.
However, while the 'bins' parameter is taken into account, the 'histtype' parameter is ignored and not passed along to matplot... | {
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