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https://api.github.com/repos/pandas-dev/pandas/issues/6901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6901/events | https://github.com/pandas-dev/pandas/issues/6901 | 31,722,662 | MDU6SXNzdWUzMTcyMjY2Mg== | 6,901 | SyntaxError on HDF queries where right-hand contains string delimiter | {
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Easy to reproduce:
This is `test.csv`
```
title,hits
Al Lawson',30
'Blind' Willie McTell,... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6902/events | https://github.com/pandas-dev/pandas/pull/6902 | 31,729,227 | MDExOlB1bGxSZXF1ZXN0MTQ4NzY0MDI= | 6,902 | API: Stop modifying SQL column and names, and warn when pertinent. | {
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"labels_url": "htt... | 9 | 2014-04-17T14:07:00Z | 2014-08-21T07:57:05Z | 2014-04-22T14:33:16Z | CONTRIBUTOR | null | Closes #6796
If any columns names written `to_sql` via a legacy connection _would_ have been modified by previous versions of pandas, a warning is issued, both on table creation and row insertion. But no names are modified.
There is a stray warning message in nosetests. Otherwise good, I think. Does this reflect our ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6903/events | https://github.com/pandas-dev/pandas/issues/6903 | 31,739,723 | MDU6SXNzdWUzMTczOTcyMw== | 6,903 | Docstring for Series missing description on 'fastpath' | {
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] | closed | false | null | [] | null | 4 | 2014-04-17T16:06:19Z | 2014-05-05T13:23:36Z | 2014-05-05T13:23:36Z | NONE | null | The Series docstring does not include any description for the 'fastpath' parameter.
Couldn't find any example on the website that used this parameter, not sure which needs updating: the init definition or the parameters section.
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https://api.github.com/repos/pandas-dev/pandas/issues/6904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6904/events | https://github.com/pandas-dev/pandas/issues/6904 | 31,746,963 | MDU6SXNzdWUzMTc0Njk2Mw== | 6,904 | Panel pct_change bug | {
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"labels_url": "htt... | 3 | 2014-04-17T17:43:19Z | 2014-04-21T14:15:49Z | 2014-04-21T14:15:49Z | NONE | null | ```
File "z:\code\m.py", line 420, in get_panel
self.source_panel.pct_change()
File "c:\anaconda\lib\site-packages\pandas\core\generic.py", line 3418, in pct_change
rs = data / data.shift(periods=periods, freq=freq, **kwds) - 1
TypeError: shift() got an unexpected keyword argument 'periods'
```
> pandas.ve... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6905/events | https://github.com/pandas-dev/pandas/pull/6905 | 31,767,130 | MDExOlB1bGxSZXF1ZXN0MTQ4OTk3Njg= | 6,905 | DOC: note about query strings in HDFStore selection | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6906/events | https://github.com/pandas-dev/pandas/issues/6906 | 31,772,533 | MDU6SXNzdWUzMTc3MjUzMw== | 6,906 | Should HDFStore.select respect local variable evaluation rules like query/eval? | {
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"f... | 3 | 2014-04-17T23:53:04Z | 2020-05-16T20:11:25Z | null | MEMBER | null | example from #6901:
`test.csv`
```
title,hits
Al Lawson',30
'Blind' Willie McTell,20
```
``` python
df = pd.read_csv('test.csv', index_col=0)
store = pd.HDFStore('test.h5')
store.append('df', df)
```
should querying work the same as `query`/`eval` for `select` queries?
``` python
title = "Al Lawson'"
result = stor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6907/events | https://github.com/pandas-dev/pandas/issues/6907 | 31,781,358 | MDU6SXNzdWUzMTc4MTM1OA== | 6,907 | Large speed downgrade in function from 0.12 to 0.13 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6908/events | https://github.com/pandas-dev/pandas/pull/6908 | 31,796,548 | MDExOlB1bGxSZXF1ZXN0MTQ5MTcxNTY= | 6,908 | BUG: TimeGrouper outputs different result by column order | {
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"labels_url": "htt... | 5 | 2014-04-18T12:34:42Z | 2014-06-21T21:47:54Z | 2014-04-19T12:47:08Z | MEMBER | null | closes #6764
`TimeGrouper` may output incorrect results depending on the target column order. The problem seems to be caused by 2 parts.
- `TimeGrouper._get_time_bins` and related methods expects sorted values input.
- `BinGrouper.get_iterator` expects sorted data input.
```
>>> df = pd.DataFrame({'Branch' : 'A A A ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6909/events | https://github.com/pandas-dev/pandas/pull/6909 | 31,797,894 | MDExOlB1bGxSZXF1ZXN0MTQ5MTc5ODU= | 6,909 | ENH: Implement Panel pct_change | {
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There's just a bit of extra index handling that needs to be done before moving on to `generic.pct_change()`. I had to adjust that to use the `.div` and `.sub` ops instead of `/` and `-` to work with panels.
I wasn't sure why axis wasn't included as an actual names k... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6910/events | https://github.com/pandas-dev/pandas/issues/6910 | 31,803,872 | MDU6SXNzdWUzMTgwMzg3Mg== | 6,910 | API: Change Panel.shift arg signature to match generic's | {
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`generic`: `def shift(self, periods=1, freq=None, axis=0, **kwds):`
`Panel`: `def shift(self, lags, freq=None, axis='major'):`
I had to adjust the call to `shift` in `generic.pct_change` to not use a kwarg for `lag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6911/events | https://github.com/pandas-dev/pandas/issues/6911 | 31,812,500 | MDU6SXNzdWUzMTgxMjUwMA== | 6,911 | BUG/API: astype(str) should stringify | {
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currently this just converts to object dtype but not actually stringify
could even handle fixed format dtypes: S10 And such as well
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https://api.github.com/repos/pandas-dev/pandas/issues/6912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6912/events | https://github.com/pandas-dev/pandas/pull/6912 | 31,847,742 | MDExOlB1bGxSZXF1ZXN0MTQ5NDQzMDQ= | 6,912 | TST: restructure sql tests | {
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- general clean-up (some pep8, docstrings, etc)
- move some methods to _TestSQLAlchemy
- use standard quoting for sqlite
I didn't change any tests, so nothing controversial I think. Wanted to do this first, and then in a subsequent PR try to increase the test coverage.
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https://api.github.com/repos/pandas-dev/pandas/issues/6913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6913/events | https://github.com/pandas-dev/pandas/pull/6913 | 31,850,375 | MDExOlB1bGxSZXF1ZXN0MTQ5NDU0MzQ= | 6,913 | ENH: pivot_table can now accept Grouper | {
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```
>>> df = pd.DataFrame({
'Branch' : 'A A A A A A A B'.split(),
'Buyer': 'Carl Mark Carl Carl Joe Joe Joe Carl'.split(),
'Quantity': [1,3,5,1,8,1,9,3],
'Date' : [datetime(2013,11,1,13,0), datetime(2013,9,1,13,5),
datetime(2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6914/events | https://github.com/pandas-dev/pandas/pull/6914 | 31,851,725 | MDExOlB1bGxSZXF1ZXN0MTQ5NDU5NjI= | 6,914 | BUG: GroupBy.get_group doesnt work with TimeGrouper | {
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```
>>> df = pd.DataFrame({'Branch' : 'A A A A A A A B'.split(),
'Buyer': 'Carl Mark Carl Carl Joe Joe Joe Carl'.split(),
'Quantity': [1,3,5,1,8,1,9,3],
'Date' : [
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https://api.github.com/repos/pandas-dev/pandas/issues/6915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6915/events | https://github.com/pandas-dev/pandas/issues/6915 | 31,857,566 | MDU6SXNzdWUzMTg1NzU2Ng== | 6,915 | Bug in pd.Series.mean() | {
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```
In [11]: np.array(stateemp.area.tolist()).mean()
Out[11]: 23785.447812211703
In [12]: stateemp.area.mean()
Out[12]: 58.927762478... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6916 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6916/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6916/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6916/events | https://github.com/pandas-dev/pandas/pull/6916 | 31,867,888 | MDExOlB1bGxSZXF1ZXN0MTQ5NTI3ODI= | 6,916 | to_csv `headers` kwarg now works regardless of `index` kwarg | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6917/events | https://github.com/pandas-dev/pandas/pull/6917 | 31,924,407 | MDExOlB1bGxSZXF1ZXN0MTQ5ODQwMTU= | 6,917 | DOC: Add recipe for shifting groups of values based on the index | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6918/events | https://github.com/pandas-dev/pandas/issues/6918 | 31,928,517 | MDU6SXNzdWUzMTkyODUxNw== | 6,918 | DOC: provide more inline examples for cookbook.rst | {
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"f... | 4 | 2014-04-21T21:56:08Z | 2021-04-11T04:29:42Z | 2021-04-11T04:29:41Z | CONTRIBUTOR | null | In-line examples when not too long are nice (as well as the link)
for example: https://github.com/pydata/pandas/commit/6fe9539b1c9c5f097d64d72af2c2f26e85dfc0b1
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https://api.github.com/repos/pandas-dev/pandas/issues/6919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6919/events | https://github.com/pandas-dev/pandas/pull/6919 | 31,936,132 | MDExOlB1bGxSZXF1ZXN0MTQ5OTE1NjM= | 6,919 | API: remove the copy kw from .xs to prevent an expectation of a view (which may not be possible) | {
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"labels_url": "htt... | 10 | 2014-04-22T00:21:38Z | 2014-06-14T14:25:16Z | 2014-04-22T13:09:16Z | CONTRIBUTOR | null | closes #6894
Deprecate passing keyword `copy` to:
- `DataFrame/Series/Panel/.xs`
- `Panel.minor_xs`
- `Panel.major_xs`
`.xs` returns a view (as does `.loc`) **IF POSSIBLE**
MultiIndexing with Slicers eliminates the need for this (and `.xs` for the too, but for
some cases its 'simpler').
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https://api.github.com/repos/pandas-dev/pandas/issues/6920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6920/events | https://github.com/pandas-dev/pandas/issues/6920 | 31,966,587 | MDU6SXNzdWUzMTk2NjU4Nw== | 6,920 | DOC: docstring / API for the indexers ([]/ix/loc/iloc) | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-04-22T12:02:33Z | 2015-03-05T23:30:27Z | 2015-03-05T23:30:27Z | CONTRIBUTOR | null | We have this nice comment if you bring up the API page itself by the indexers, but searching and clicking on say pandas.DataFrame.loc just give you an empty page
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https://api.github.com/repos/pandas-dev/pandas/issues/6921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6921/events | https://github.com/pandas-dev/pandas/issues/6921 | 31,971,876 | MDU6SXNzdWUzMTk3MTg3Ng== | 6,921 | Sqlachemy raises when writing write timedelta64 columns to sqlite. | {
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"labels_url": "htt... | 16 | 2014-04-22T13:23:43Z | 2014-09-06T09:40:27Z | 2014-05-11T09:55:01Z | CONTRIBUTOR | null | Maybe we can work around this. At least it should raise informatively.
```
In [24]: df = pd.to_timedelta(Series(['00:00:01', '00:00:03'], name='foo')).to_frame()
In [25]: df
Out[25]:
foo
0 00:00:01
1 00:00:03
[2 rows x 1 columns]
In [26]: df.dtypes
Out[26]:
foo timedelta64[ns]
dtype: object
In [27]: d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6922/events | https://github.com/pandas-dev/pandas/issues/6922 | 31,972,254 | MDU6SXNzdWUzMTk3MjI1NA== | 6,922 | PERF: Panel.pct_change | {
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Just putting this up there if anyone has any ideas. The filling scales with the length of the axis so this is unavoidable (well it _could_ be done in cython but would need a 3d version of certain functions).
can think about changing the default to `fill_method=None` from `fill_method='pad'`
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6923/events | https://github.com/pandas-dev/pandas/issues/6923 | 31,973,148 | MDU6SXNzdWUzMTk3MzE0OA== | 6,923 | series __finalized__ not correctly called in merge? | {
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"labels_url": "htt... | 5 | 2014-04-22T13:39:38Z | 2014-04-27T13:34:16Z | 2014-04-22T14:21:46Z | CONTRIBUTOR | null | I got some help from Jeff on [stackoverflow](http://stackoverflow.com/questions/23200524/propagate-pandas-series-metadata-through-joins), but either I'm misunderstanding the way `__finalized__` works, or there's a bug in how it's called. My intent was to preserve series metadata after 2 dataframes being merged, and I b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6924/events | https://github.com/pandas-dev/pandas/pull/6924 | 31,974,973 | MDExOlB1bGxSZXF1ZXN0MTUwMTQxNDE= | 6,924 | BUG/INT: Internal tests for patching __finalize__ / bug in merge not finalizing (GH6923) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6925/events | https://github.com/pandas-dev/pandas/issues/6925 | 31,982,734 | MDU6SXNzdWUzMTk4MjczNA== | 6,925 | Bug when using SQLAlchemy and masters' to_sql for integer-named columns in df | {
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] | closed | false | null | [] | null | 2 | 2014-04-22T15:25:00Z | 2014-04-22T20:37:57Z | 2014-04-22T20:37:57Z | NONE | null | Hi-
when trying to write a dataframe with non-string named columns via current to_sql the function fails because function _safe_col_name attempts to call the strip method.
NB I do not have master installed I just copied the SQL module and call the v14 functions from it.
``` python
df = pd.DataFrame(randn(2,4))
con = s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6926/events | https://github.com/pandas-dev/pandas/issues/6926 | 31,985,078 | MDU6SXNzdWUzMTk4NTA3OA== | 6,926 | DOC: Unused `order` argument in factorize | {
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def factorize(values, sort=False, order=None, na_sentinel=-1):
"""
Encode input values as an enumerated type or categorical variable
Parameters
----------
values : ndarray (1-d)
Sequence
sort : boolean, default False
Sort by values
order :
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https://api.github.com/repos/pandas-dev/pandas/issues/6927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6927/events | https://github.com/pandas-dev/pandas/issues/6927 | 31,989,036 | MDU6SXNzdWUzMTk4OTAzNg== | 6,927 | DataFrame.__finalize__ not called in pd.concat | {
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"labels_url": "htt... | 2 | 2014-04-22T16:35:45Z | 2014-04-27T13:34:55Z | 2014-04-22T19:44:47Z | CONTRIBUTOR | null | When I assign metadata to a df
```
import numpy as np
import pandas as pd
np.random.seed(10)
pd.DataFrame._metadata = ['filename']
df1 = pd.DataFrame(np.random.randint(0, 4, (3, 2)), columns=list('ab'))
df1.filenames = {'a': 'f1', 'b': 'f2'}
df1
a b
0 1 1
1 0 3
2 0 1
```
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https://api.github.com/repos/pandas-dev/pandas/issues/6928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6928/events | https://github.com/pandas-dev/pandas/pull/6928 | 31,991,267 | MDExOlB1bGxSZXF1ZXN0MTUwMjQxNDc= | 6,928 | API/DEPR: Match Panel.shift()'s signature to generic | {
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"de... | closed | false | null | [] | null | 2 | 2014-04-22T17:03:48Z | 2017-04-05T02:08:53Z | 2014-04-22T18:29:10Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/6910
Also switches the shift implementation back to using keyword arguments.
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https://api.github.com/repos/pandas-dev/pandas/issues/6929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6929/events | https://github.com/pandas-dev/pandas/issues/6929 | 31,996,841 | MDU6SXNzdWUzMTk5Njg0MQ== | 6,929 | PERF: Poor numerical stability of rolling_kurt and rolling_skew | {
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"closed_at": "2020-12-26T13:57:50Z",
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"followers_url": "https://api.github.com/users/j... | 3 | 2014-04-22T18:16:47Z | 2020-11-09T21:20:05Z | 2020-11-09T21:20:05Z | CONTRIBUTOR | null | The numerical stability of the current implementation of `rolling_kurt` and `rolling_skew` is very poor:
```
In [14]: x = np.random.rand(10)
In [15]: pd.Series(x).rolling(4).skew()
Out[15]:
0 NaN
1 NaN
2 NaN
3 -0.971467
4 0.596391
5 -1.163135
6 -0.611469
7 -1.624713
8... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6930/events | https://github.com/pandas-dev/pandas/pull/6930 | 31,998,204 | MDExOlB1bGxSZXF1ZXN0MTUwMjg0MzY= | 6,930 | API/DEPR: Deprecate order kwarg in factorize | {
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"labels_url": "htt... | 1 | 2014-04-22T18:33:03Z | 2017-04-05T02:08:49Z | 2014-04-22T20:54:18Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/6926
`order` wasn't being used at all.
I couldn't use the deprecate_kwarg decorator since the kwarg is being removed, not changed.
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https://api.github.com/repos/pandas-dev/pandas/issues/6931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6931/events | https://github.com/pandas-dev/pandas/pull/6931 | 32,002,190 | MDExOlB1bGxSZXF1ZXN0MTUwMzA4NjA= | 6,931 | BUG/INT: Internal tests for patching __finalize__ / bug in concat not finalizing (GH6927) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6932/events | https://github.com/pandas-dev/pandas/issues/6932 | 32,003,302 | MDU6SXNzdWUzMjAwMzMwMg== | 6,932 | BUG: add support for writing datetime.date and datetime.time columns using to_sql | {
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the following commands throw a DataError --
``` python
con = sqlalchemy.create_engine("mssql+pyodbc://server?driver=SQL Server Native Client 11.0")
df = pd.DataFrame([datetime.time(7,10), datetime.time(7,20)], columns="a")
sql.to_sql(df, "TBL_TEMP", con, index=False)
```
throws the following error:
``` python
Tr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6933/events | https://github.com/pandas-dev/pandas/issues/6933 | 32,005,566 | MDU6SXNzdWUzMjAwNTU2Ng== | 6,933 | PERF: use fastpath=True in Index methods (delete/drop/insert/etc)? | {
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"labels_url": "htt... | 3 | 2014-04-22T20:02:27Z | 2014-05-05T13:27:58Z | 2014-05-05T13:27:58Z | CONTRIBUTOR | null | Been hit by this when optimizing index-oblivious Blocks. In my case,
```
is_deleted = np.zeros(len(index), dtype=np.bool_)
is_deleted[deleted_loc] = True
index = index[~is_deleted]
```
was still a lot faster then than `index.delete(deleted_loc)`.
It appears, that delete doesn't add `fastpath=True` to ctor and that t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6934/events | https://github.com/pandas-dev/pandas/pull/6934 | 32,023,083 | MDExOlB1bGxSZXF1ZXN0MTUwNDQwODE= | 6,934 | BUG: Fix to read decimal seconds from Excel. | {
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"labels_url": "htt... | 9 | 2014-04-23T00:34:18Z | 2014-06-18T06:59:55Z | 2014-04-24T01:24:01Z | CONTRIBUTOR | null | Fix to allow decimal seconds to be read from Excel dates and times
into datetime objects. #5945.
This required a fix to the `xlrd` module to return milliseconds from Excel dates and times. That fix was recently released to PyPI in xlrd version 0.9.3.
Tests, version updates and release note included.
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https://api.github.com/repos/pandas-dev/pandas/issues/6935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6935/events | https://github.com/pandas-dev/pandas/pull/6935 | 32,028,050 | MDExOlB1bGxSZXF1ZXN0MTUwNDY4OTA= | 6,935 | BUG: pass bins arg in hist_frame | {
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Missed passing the `bins` kwarg to a call to matplotlib's hist.
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https://api.github.com/repos/pandas-dev/pandas/issues/6936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6936/events | https://github.com/pandas-dev/pandas/issues/6936 | 32,029,684 | MDU6SXNzdWUzMjAyOTY4NA== | 6,936 | ENH: weekday of year, common behavior accessor | {
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... | 12 | 2014-04-23T03:09:28Z | 2021-04-11T04:30:05Z | null | NONE | null | See below. Dates from the last week of December 2013 are interpreted as being from the first week of the year. Is this due to the fact December 30th was a Monday?
``` python
import pandas as pd
dt = '2013-12-30'
pd.to_datetime(dt, coerce=True).year, pd.to_datetime(dt, coerce=True).weekofyear
# I expected: (2013, 53... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6937/events | https://github.com/pandas-dev/pandas/pull/6937 | 32,030,151 | MDExOlB1bGxSZXF1ZXN0MTUwNDc2MjY= | 6,937 | pandas.io.gbq Version 2 | {
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closes #6096
@jreback : We still have some documentation to work on, but we would like your initial thoughts on what we have so far. The key change for this version is the removal of bq.py as a dependency (except as a setup method for a test case). Instead, we rely en... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6938 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6938/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6938/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6938/events | https://github.com/pandas-dev/pandas/issues/6938 | 32,052,107 | MDU6SXNzdWUzMjA1MjEwNw== | 6,938 | Introduce 'tidy_repr' for DataFrames | {
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"color": "00980... | closed | false | null | [] | null | 1 | 2014-04-23T11:20:50Z | 2014-04-23T12:33:15Z | 2014-04-23T11:24:06Z | CONTRIBUTOR | null | How about adding a `tidy_repr` similar to the one available for Series (https://github.com/pydata/pandas/blob/master/pandas/core/series.py#L845) to the possible ways of displaying a DataFrame. I find this view very convenient for displaying long series. Searching through past issues I couldn't find a discussion on why ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6939/events | https://github.com/pandas-dev/pandas/issues/6939 | 32,060,845 | MDU6SXNzdWUzMjA2MDg0NQ== | 6,939 | BUG: regression in max_info_columns behaviour? | {
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- [ ] `max_info_columns` should not behave the same as `max_info_rows`. If `max_info_columns` is exceeded, it should flip to short summary (as `verbose=False`)
- [ ] we could add a keyword argument like `show_counts` (or another name) to specify if you want to show the non-null counts (to be able to override th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6940 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6940/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6940/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6940/events | https://github.com/pandas-dev/pandas/issues/6940 | 32,073,497 | MDU6SXNzdWUzMjA3MzQ5Nw== | 6,940 | 0.13.1: info(verbose=True) does not return non-null counts for large DataFrames | {
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>>>df.info(verbose=True)
<class 'pandas.core.frame.DataFrame'>
MultiIndex: 9063396 entries, (2011-10-19 00:00:00, 000312) to (2014-03-31 00:00:00, Y8565N10)
Data columns (total 5 columns):
weight_benchmark float64
weight_portfolio float64
weight_active float64
weight_msci_acwi float64
investable ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6941 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6941/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6941/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6941/events | https://github.com/pandas-dev/pandas/pull/6941 | 32,074,485 | MDExOlB1bGxSZXF1ZXN0MTUwNzQxMDY= | 6,941 | REGR/API: accept TextFileReader in concat (GH6583) | {
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- API: change AssertionError to TypeError for invalid types passed to concat
- REGR: TextFileReader in concat, which was affecting a common user idiom
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https://api.github.com/repos/pandas-dev/pandas/issues/6942 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6942/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6942/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6942/events | https://github.com/pandas-dev/pandas/issues/6942 | 32,078,028 | MDU6SXNzdWUzMjA3ODAyOA== | 6,942 | BUG: setitem with at not inferring dtype correctly | {
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... | 6 | 2014-04-23T16:43:15Z | 2021-05-08T19:49:07Z | null | CONTRIBUTOR | null | xref https://github.com/pandas-dev/pandas/issues/14179
xref #12499
xref #18027
http://stackoverflow.com/questions/23250333/in-pandas-dataframe-after-i-set-an-entire-column-i-cant-update-another-column
but `.loc` works
```
In [50]: df = pd.DataFrame(index=pd.date_range(start,periods=1), columns=['timenow',... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6943 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6943/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6943/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6943/events | https://github.com/pandas-dev/pandas/issues/6943 | 32,100,513 | MDU6SXNzdWUzMjEwMDUxMw== | 6,943 | BUG: quantile isn't checking for scaler correctly | {
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"gi... | [] | closed | false | null | [] | null | 1 | 2014-04-23T21:20:10Z | 2014-04-23T21:24:01Z | 2014-04-23T21:24:01Z | CONTRIBUTOR | null | I'm going to do https://github.com/pydata/pandas/issues/4196 (multiple quantiles)
But this came up:
you get a `result` from _quantile. Then it checks this:
``` python
if not np.isscalar and com.is_timedelta64_dtype(result):
```
Should `np.isscalar` be called on result?
Currently that `if` block is never entered si... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6944 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6944/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6944/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6944/events | https://github.com/pandas-dev/pandas/issues/6944 | 32,100,559 | MDU6SXNzdWUzMjEwMDU1OQ== | 6,944 | DOC: improve groupby reference docs | {
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... | 4 | 2014-04-23T21:20:42Z | 2018-01-19T22:04:51Z | null | MEMBER | null | An overview of the reference doc on groupby is given here: http://pandas.pydata.org/pandas-docs/dev/api.html#groupby (apart from the extensive user guide: http://pandas.pydata.org/pandas-docs/dev/groupby.html)
There are some things that could use some improvement:
- [x] add some missing functions to the overview in... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2014-04-23T22:12:02Z | 2017-12-06T11:29:14Z | 2017-12-06T11:29:14Z | CONTRIBUTOR | null | The `rank()` function converts `np.nan` to `np.inf` or `-np.inf`, and therefore can't properly rank existing `np.inf`. See here: https://github.com/pydata/pandas/pull/6886#issuecomment-40773964.
Test for this issue here: https://github.com/pydata/pandas/blob/master/pandas/tests/test_series.py#L4071
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https://api.github.com/repos/pandas-dev/pandas/issues/6946 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6946/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6946/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6946/events | https://github.com/pandas-dev/pandas/pull/6946 | 32,109,624 | MDExOlB1bGxSZXF1ZXN0MTUwOTYzNjE= | 6,946 | Update indexing.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6947 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6947/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6947/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6947/events | https://github.com/pandas-dev/pandas/issues/6947 | 32,112,578 | MDU6SXNzdWUzMjExMjU3OA== | 6,947 | BLD: add xlwt py3 version to build matrix | {
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... | 3 | 2014-04-24T00:55:13Z | 2015-06-20T16:20:18Z | 2015-06-20T16:20:18Z | CONTRIBUTOR | null | apparently we are using the regular `xlwt` on the 3.3 build, which doesn't (it skips everything), so need
still in dev on xlwt master branch
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https://api.github.com/repos/pandas-dev/pandas/issues/6948 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6948/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6948/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6948/events | https://github.com/pandas-dev/pandas/issues/6948 | 32,136,819 | MDU6SXNzdWUzMjEzNjgxOQ== | 6,948 | Bug in rplot.GeomDensity2D | {
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When I plot a density map, the graph is rotated by 90 degrees.
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... | 1 | 2014-04-24T10:50:41Z | 2016-04-05T21:50:43Z | 2016-04-05T21:50:43Z | CONTRIBUTOR | null | ``` python
In [1]: pd.__version__
Out[1]: '0.13.1'
In [2]: pd.DataFrame({'a': pd.SparseArray([1,2,3, np.nan, np.nan]), 'b': [1,2,3,np.nan,np.nan]})
Out[2]:
a b
0 1 1
1 2 2
2 3 3
3 NaN NaN
4 NaN NaN
[5 rows x 2 columns]
In [3]: _2.reindex(_2.index[1:], fill_value=10.)
Out[3]:
a b
1 2 2
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https://api.github.com/repos/pandas-dev/pandas/issues/6950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6950/events | https://github.com/pandas-dev/pandas/issues/6950 | 32,141,837 | MDU6SXNzdWUzMjE0MTgzNw== | 6,950 | ENH/CLN: Make df.pivot to the mapping of pivot_table | {
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... | 8 | 2014-04-24T11:53:52Z | 2016-11-16T09:06:06Z | 2016-11-16T09:06:06Z | MEMBER | null | Related to #6913.
`DataFrame.pivot` function uses separate logic and has less keyword options than `pandas.tools.pivot_table`. How about making `DataFrame.pivot` to call `pivot_table` internally to support same keywords as `pivot_table`?
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1. If `DataFrame` only has single column, plot raises `TypeError`. It is because `_subplots` returns `Axes` instance, not array.
2. If `kind=scatter` or `kind=hexbin` is specified with `subplots=True`, additional blank axes is drawn.
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I wasn't sure what the best way to test this was. I went with calling `_apply_empty_result` directly and checking for a SystemExit to get around the try: except Exception block in `_apply_empty_result`.
I still don't think I've 100% ensured that `_apply_empty_result` will always be _called with_ _args an... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6954 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6954/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6954/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6954/events | https://github.com/pandas-dev/pandas/pull/6954 | 32,155,153 | MDExOlB1bGxSZXF1ZXN0MTUxMjMwNzk= | 6,954 | BUG: Bug in sum/mean on 32-bit platforms on overflows (GH6915) | {
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overflow when doing sum (and mean) using bottleneck/numpy on 32-bit platforms with 32-bit dtypes
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https://api.github.com/repos/pandas-dev/pandas/issues/6955 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6955/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6955/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6955/events | https://github.com/pandas-dev/pandas/pull/6955 | 32,157,332 | MDExOlB1bGxSZXF1ZXN0MTUxMjQ0NDI= | 6,955 | ENH: Quantiles accepts an array | {
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"labels_url": "htt... | 12 | 2014-04-24T15:13:23Z | 2014-07-16T09:03:02Z | 2014-04-25T11:55:06Z | CONTRIBUTOR | null | Doesn't quite finish #4196, but it should be easy not that `quantile` takes arrays.
I did this on top of #6953, so that should go in first.
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https://api.github.com/repos/pandas-dev/pandas/issues/6956 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6956/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6956/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6956/events | https://github.com/pandas-dev/pandas/pull/6956 | 32,160,974 | MDExOlB1bGxSZXF1ZXN0MTUxMjY2NzU= | 6,956 | BUG: fix handling of color argument for variety of plotting functions | {
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- fix reordering of class column (from set) causing possible color/class
mismatch
- deprecated use of argument colors in favor of color
radviz
- fix reordering of class column (from set) causing possible color/class
mismatch
- added explicit color keyword argument (avoids multiple values 'colo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6957 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6957/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6957/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6957/events | https://github.com/pandas-dev/pandas/issues/6957 | 32,162,748 | MDU6SXNzdWUzMjE2Mjc0OA== | 6,957 | BUG: Sum() of dataframe returns string, behavior differs between mixed-type and single-type columns | {
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] | closed | false | null | [] | null | 3 | 2014-04-24T16:12:05Z | 2016-08-05T10:00:20Z | 2014-04-24T16:21:58Z | CONTRIBUTOR | null | ## INPUT
## Reproduce the Error
``` python
import pandas as pd
pd.show_versions()
print "\nCASE 1 : Working with a dataframe with mixed object types ************"
dfa = pd.DataFrame(data=zip(["Silly","Thing","To","Concatenate"],[0.,1.,2.,3.1]),columns=['A','B'])
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"labels_url": "htt... | 10 | 2014-04-24T18:06:43Z | 2014-06-18T02:07:24Z | 2014-04-25T00:46:38Z | CONTRIBUTOR | null | I'm sure there are more of these, but I just caught this one when I was raising on all warnings.
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https://api.github.com/repos/pandas-dev/pandas/issues/6959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6959/events | https://github.com/pandas-dev/pandas/issues/6959 | 32,198,029 | MDU6SXNzdWUzMjE5ODAyOQ== | 6,959 | Panel.shift does not respect dtypes 13.1 | {
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"labels_url": "htt... | 0 | 2014-04-25T00:28:46Z | 2014-04-28T23:21:23Z | 2014-04-28T23:21:23Z | CONTRIBUTOR | null | Because the 13.1 shift uses `.values`, it will upcast mixed dtypes to object.
``` python
import pandas as pd
import numpy as np
import pandas.util.testing as tm
data = [('item '+ch, tm.makeMixedDataFrame()) for ch in list('abcde')]
data = dict(data)
mixed_panel = pd.Panel.from_dict(data, orient='minor')
shifted = m... | {
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COMPAT: remove deprecation warnings on **new** (in computation/pytables)
COMPAT: fix array_to_datetime on invalid comparison to NaT
related #6958
add ability to set an environmental variable to actually show the DeprecationWarnings
just
`setenv PANDAS_... | {
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"followers_url": "https://api.github.com/users/jre... | 11 | 2014-04-25T02:25:25Z | 2014-10-30T11:19:43Z | 2014-10-29T11:39:26Z | CONTRIBUTOR | null | I ran this on master current as of 2014-04-20 or so and was surprised as to the result:
``` python
In [17]: pd.date_range('2014', '2015', freq='M')
Out[17]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2014-04-30, ..., 2015-03-31]
Length: 12, Freq: M, Timezone: None
```
I would have expected that to give me the mon... | {
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"f... | 10 | 2014-04-25T05:00:09Z | 2017-10-04T15:51:59Z | 2017-10-04T15:51:59Z | CONTRIBUTOR | null | [Bokeh](http://bokeh.pydata.org) specializes on large data, and is using pandas in some of their examples (e.g. [here](https://github.com/ContinuumIO/bokeh/blob/master/examples/plotting/file/glucose.py)).
As pandas is built to work with large data-sets as well, I believe they would make an excellent couple!
However, I... | {
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```
In [9]: df1 = pd.DataFrame(np.random.randn(3,3), columns=['A', 'A', 'B1'])
...: df2 = pd.DataFrame(np.random.randn(3,3), colum... | {
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] | closed | false | null | [] | null | 35 | 2014-04-25T11:31:16Z | 2014-04-29T13:47:59Z | 2014-04-29T12:23:07Z | NONE | null | Right now, as per the gotchas section, pandas raises a value error on an empty frame
http://pandas.pydata.org/pandas-docs/dev/gotchas.html#gotchas-truth
While documentation describes ambiguity, in the python world there is none.
PEP8 (http://legacy.python.org/dev/peps/pep-0008/) recommends: "For sequences, (strings, l... | {
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In [2]: df = DataFrame({'a': pd.to_datetime(['2010', '2011']), 'b': [0, 5]})
In [3]: df.quantile(.5, numeric_only=False)
Out[3]:
a 1.278072e+18
b 1.278072e+18
dtype: float64
```
Series handles things fine.
We need to do a `view('i8')` on the date time array somewhere, but I had trouble just stickin... | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2014-04-25T14:15:57Z | 2015-04-28T11:56:04Z | 2015-04-28T11:56:04Z | CONTRIBUTOR | null | Here's what I mean:
``` python
In [4]: pd.Series(np.arange(7))
Out[4]:
0 0
1 1
2 2
3 3
4 4
5 5
6 6
dtype: int64
# Let's put some limit on weekends
In [5]: _4.clip_upper([3,3,3,3,3, 4,4])
---------------------------------------------------------------------------
ValueError ... | {
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#6960 got most of the inv/neg ones (e.g. you can no longer user `-` to invert a boolean mask but must use `~`), starting in 1.9
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This PR should provide support for dateutil timezones. It was discussed quite a bit in https://github.com/pydata/pandas/pull/4689.
The discussion there ended two months back with "we should incorporate this if it can be made seamless". I think I've managed that now so it would be great to get some feedba... | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2014-04-25T19:29:00Z | 2014-04-25T19:36:00Z | 2014-04-25T19:36:00Z | MEMBER | null | http://stackoverflow.com/q/23301072/564538
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https://api.github.com/repos/pandas-dev/pandas/issues/6970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6970/events | https://github.com/pandas-dev/pandas/issues/6970 | 32,260,194 | MDU6SXNzdWUzMjI2MDE5NA== | 6,970 | Cannot subset | {
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I'm trying to print three pandas boxplots next to each other in iPython Notebook.
The dataframes each look basically like this:
``` python
sub cond accuracy
s1 A 0.814868
s2 A 0.504574
s3 A 0.438314
s4 A 0.956235
s5 A ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6971/events | https://github.com/pandas-dev/pandas/issues/6971 | 32,288,163 | MDU6SXNzdWUzMjI4ODE2Mw== | 6,971 | BUG: Skipfooter disables decimal parameter | {
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a European style decimal encoding (e.g. 8.1 -> 8,2). Setting the decimal-parameter
appropriately should make this easy but in my case pandas refused to accepts any different data type than a simple object.
After a few attempts with various fi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6972 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6972/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6972/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6972/events | https://github.com/pandas-dev/pandas/pull/6972 | 32,289,203 | MDExOlB1bGxSZXF1ZXN0MTUyMDI0OTE= | 6,972 | Cookbook additions | {
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"labels_url": "htt... | 2 | 2014-04-26T13:34:43Z | 2014-06-13T16:46:14Z | 2014-04-27T13:58:57Z | CONTRIBUTOR | null | As suggested by Jeff on this [StackOverflow answer](http://stackoverflow.com/a/23233196/1222578), I'm adding an example of a boxplot that uses quartiles of a second variable as the `by` variable.
Jeff also suggested adding the example in-line, rather than just providing a link to StackOverflow, so that's what I've don... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6973 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6973/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6973/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6973/events | https://github.com/pandas-dev/pandas/issues/6973 | 32,290,257 | MDU6SXNzdWUzMjI5MDI1Nw== | 6,973 | Module-level "max" and "min" | {
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1)
```
result = pandas.DataFrame({'A' : A, 'B' : B}).max(axis=1)
```
2)
```
result = pandas.Series(numpy.max((A, B), axis=0), index=A.index)
```
(assuming A and B have identical, and sorted, i... | {
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## vs 13.1
```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
panel_shift ... | {
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Please be gentle - this is the first time I've tried to contribute either to someone else's python project or another project on github, so if my python or git foo is lacking, I apologise in advance!
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https://api.github.com/repos/pandas-dev/pandas/issues/6976 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6976/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6976/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6976/events | https://github.com/pandas-dev/pandas/pull/6976 | 32,301,521 | MDExOlB1bGxSZXF1ZXN0MTUyMDc2NjY= | 6,976 | ENH: support pie plot in series and dataframe plot | {
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"labels_url": "htt... | 12 | 2014-04-27T00:22:28Z | 2014-06-12T21:10:18Z | 2014-05-05T16:15:22Z | MEMBER | null | Related to #413, added pie plot for `Series.plot` and `DataFrame.plot` kind.
If data includes `NaN`, it will be automatically filled by 0. If data contains negative value, `ValueError` will be raised.
```
import pandas as pd
import numpy as np
series = pd.Series(3 * np.random.rand(4), index=['a', 'b', 'c', 'd'], name... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6977/events | https://github.com/pandas-dev/pandas/pull/6977 | 32,302,929 | MDExOlB1bGxSZXF1ZXN0MTUyMDgzMTE= | 6,977 | ERR: Add check for iterators when creating DataFrame, fixes #5357 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6978 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6978/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6978/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6978/events | https://github.com/pandas-dev/pandas/issues/6978 | 32,305,270 | MDU6SXNzdWUzMjMwNTI3MA== | 6,978 | SeriesGroupBy and DataFrameGroupBy are missing mode() function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6979/events | https://github.com/pandas-dev/pandas/issues/6979 | 32,305,436 | MDU6SXNzdWUzMjMwNTQzNg== | 6,979 | mode() function returns wrong answer when most common element occurs once | {
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```
pd.Series([1]).mode()
=> Series([], dtype: int64)
```
Expected value is the same as for:
```
pd.Series([1,1]).mode()
=> 0 1
=> dtype: int64
```
The same problem happens whenever the most common element only occurs once:
```
pd.Series(range(100)).mode()
Series([], dtype: int64)
`... | {
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Deprecation warnings are currnetly turned off by this commit otherwise output is very long (when `PANDAS_TESTING_MODE='deprecate'` is turned on (in numpy-1.9/3.4 builds)
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======================================================================
FAIL: test_sum (pandas.tests.test_frame.TestDataFrame)
----------------------------------------------------------------------
Traceback (most recent call last):
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though seems that cPickle can on a small file/dataset be slower
so waiting for results on #6899 tests
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if deprecations mode is turned on #6960 then these become apparant
I think the tests simply need to be change and/or asserted that these are actually producing deprecation warnings
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- fixed `get_schema` (and adapted is signature back to how it was for 0.13.1). For this I added back the old function, as this functionality was not possible with the refactored class based approach (for those you always have to provide a connection ... | {
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There seems to be an inconsistency in some GroupBy methods when `NaT` is included in the group key.
- `GroupBy.groups` includes `NaT` as a key.
- `GroupBy.ngroups` doesn't count `NaT`.
- `GroupBy.__iter__` doesn't return `NaT` group.
- `GroupBy.get_group` fails when `NaT` is specified.
I understand `NaT` ... | {
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https://github.com/pydata/pandas/pull/6976
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I'll also mention things like seaborn, ggplot, mpld3, vincent, bearcart, and maybe remove the note that we plan to add more i... | {
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for Panel
- like to remove `NDFrame.slice_shift` and roll it into the Block itself as a bit cleaner
- see if can fix `pct_change` perf as its doing a `isnull` on by slice; maybe can just do that once then slice the mask
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"followers_url": "https://api.github.... | 35 | 2014-04-28T23:44:28Z | 2015-06-02T19:26:59Z | 2015-05-30T13:05:57Z | MEMBER | null | Closes #6992. Made `GroupBy.get_group` works even if the key contains `NaT`.
NOTE: One issue is that `GroupBy.groups` returns incorrect key in numpy 1.6. This seems to be caused by `_convert_grouper` uses `grouper.reindex(axis).values` to return value. This looks doesn't affect to main functionalities, but is there a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6998 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6998/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6998/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6998/events | https://github.com/pandas-dev/pandas/issues/6998 | 32,418,002 | MDU6SXNzdWUzMjQxODAwMg== | 6,998 | Add datetimeindex accessors to timeseries documentation (timeseries.rst) | {
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.year
.month
.day
.hour
.minute
.second
.microsecond
.nanosecond
.date
.time
.dayofyear
.weekofyear
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https://api.github.com/repos/pandas-dev/pandas/issues/6999 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6999/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6999/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6999/events | https://github.com/pandas-dev/pandas/pull/6999 | 32,452,280 | MDExOlB1bGxSZXF1ZXN0MTUyOTI2MjY= | 6,999 | ENH: Implement core/strings/wrap method | {
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"labels_url": "htt... | 3 | 2014-04-29T14:52:17Z | 2014-06-25T22:25:38Z | 2014-04-29T21:04:04Z | CONTRIBUTOR | null | This patch implements the str.wrap function within core/strings.
Example:
```
>>> s = pd.Series(['line to be wrapped', 'another line to be wrapped'])
>>> s.str.wrap(12)
0 line to be\nwrapped
1 another line\nto be\nwrapped
```
This is a cleaned branch; the original is at #6705.
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