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https://api.github.com/repos/pandas-dev/pandas/issues/12304 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12304/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12304/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12304/events | https://github.com/pandas-dev/pandas/issues/12304 | 133,132,796 | MDU6SXNzdWUxMzMxMzI3OTY= | 12,304 | DataFrame.to_hdf will write Unicode labels, but pd.read_hdf won't read them | {
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The following code demonstrates this behavior, observed for dataframes that have larger t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12307 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12307/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12307/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12307/events | https://github.com/pandas-dev/pandas/pull/12307 | 133,159,272 | MDExOlB1bGxSZXF1ZXN0NTkxMzQxNTc= | 12,307 | BUG: fix NaT support for msgpack format. | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-02-12T05:12:00Z | 2016-02-12T13:47:55Z | 2016-02-12T13:47:44Z | CONTRIBUTOR | null | This currently fails with an attribute error trying to get the isoformat of `NaT`
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"color": "00... | closed | false | null | [] | null | 24 | 2016-02-12T09:30:57Z | 2016-11-22T11:44:44Z | 2016-11-22T11:44:44Z | NONE | null | Addresses indexing issues related to subclassing (#11559).
Also made some changes to base, groupby, reshape, strings.
So for example, if df was a SubclassedDataFrame and s was a SubclassedSeries
`df.groupby('A').apply(lambda x: x)`
and
`s.value_counts()`
would return SubclassedDataFrame and SubclassedSeries instances... | {
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In [8]: i = Index(range(3),name='foo')
In [9]: Index(i)
Out[9]: Int64Index([0, 1, 2], dtype='int64', name=u'foo')
In [10]: pd.Int64Index(i)
Out[10]: Int64Index([0, 1, 2], dtype='int64')
```
`Float64Index` as well
ideally move the tests to `Base` to test all index types.
See #12288.
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```
S.......S.S........................................................................./home/travis/build/pydata/pandas/pandas/core/config.py:219: FutureWarning:
mpl_style had been deprecated and will be removed in a future version.
Use `matplotlib.pyplot.style.use`... | {
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```
Reproduce by:
pd.DataFrame(['♚']).style
UnicodeDecodeError: 'ascii' codec can't decode byte 0xf0 in position 0: ordinal not in range(128)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/12313 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12313/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12313/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12313/events | https://github.com/pandas-dev/pandas/issues/12313 | 133,305,475 | MDU6SXNzdWUxMzMzMDU0NzU= | 12,313 | Assigning from other NDFrame broken on multiple MultiIndex columns | {
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"descript... | closed | false | null | [] | null | 5 | 2016-02-12T18:02:41Z | 2016-02-13T13:50:05Z | 2016-02-12T18:10:05Z | MEMBER | null | ```
In [2]: df = pd.DataFrame(columns=pd.MultiIndex.from_product([range(2), range(2)]))
In [3]: df.loc[0] = range(4)
In [4]: df.loc[1] = pd.Series(range(4))
In [5]: df
Out[5]:
0 1
0 1 0 1
0 0.0 1.0 2.0 3.0
1 NaN NaN NaN NaN
```
That is: the first `loc` is doing what we expec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12314 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12314/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12314/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12314/events | https://github.com/pandas-dev/pandas/pull/12314 | 133,310,470 | MDExOlB1bGxSZXF1ZXN0NTkyMTE0Mjg= | 12,314 | TST: validation tests for resample/groupby preservation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12315 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12315/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12315/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12315/events | https://github.com/pandas-dev/pandas/pull/12315 | 133,310,952 | MDExOlB1bGxSZXF1ZXN0NTkyMTE3NDQ= | 12,315 | COMPAT: silence mpl_style warnings | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12316 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12316/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12316/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12316/events | https://github.com/pandas-dev/pandas/pull/12316 | 133,319,263 | MDExOlB1bGxSZXF1ZXN0NTkyMTY3NTk= | 12,316 | TST: validation tests for concat of same timezones | {
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xref #12306 which I think fixed
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https://api.github.com/repos/pandas-dev/pandas/issues/12318 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12318/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12318/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12318/events | https://github.com/pandas-dev/pandas/pull/12318 | 133,394,120 | MDExOlB1bGxSZXF1ZXN0NTkyNTcyMjk= | 12,318 | BUG: Prevent abuse of kwargs in stat functions | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12319 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12319/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12319/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12319/events | https://github.com/pandas-dev/pandas/issues/12319 | 133,428,690 | MDU6SXNzdWUxMzM0Mjg2OTA= | 12,319 | API: should reindex on a level introduce NaNs for missing entries per label of other levels? | {
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... | 3 | 2016-02-13T12:35:14Z | 2021-04-23T00:54:29Z | null | MEMBER | null | Suppose the following dataframe and reindex operation:
```
In [65]: df = pd.DataFrame(np.arange(12).reshape(4,3), columns=pd.MultiIndex.from_tuples([('A', 'a'), ('A', 'b'), ('B', 'a')]))
In [66]: df
Out[66]:
A B
a b a
0 0 1 2
1 3 4 5
2 6 7 8
3 9 10 11
In [67]: df.reindex(columns=['a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12320 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12320/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12320/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12320/events | https://github.com/pandas-dev/pandas/pull/12320 | 133,437,337 | MDExOlB1bGxSZXF1ZXN0NTkyNjgzNjA= | 12,320 | WARN: fix some warnings | {
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add some documentation on a na scalar comparison test warning
remove warning for plotting multiple on a sub-plot
closes #8397
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other warnings are already taken care of
```
...........................................S....................................S..........................S/home/travis/miniconda/envs/pandas/lib/python3.5/site-packages/pymysql/cursors.py:146: Warning: Unknown table 'iri... | {
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@jorisvandenbossche
Some after merge feedback:
I took a look and I also like the logic now as how you explained it in your last post (for label based indexing: if the label evaluates as equal, then it is interpreted as the existing label)
A few things:
- The whatsnew needs to be updated (as it still s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12323 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12323/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12323/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12323/events | https://github.com/pandas-dev/pandas/pull/12323 | 133,464,435 | MDExOlB1bGxSZXF1ZXN0NTkyNzU4ODY= | 12,323 | DOC: some rewording of highlights | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-02-13T19:38:38Z | 2016-02-13T20:51:09Z | 2016-02-13T20:51:09Z | MEMBER | null | @jreback I proofread the highlights and made some edits (but language is always a bit subjective). Comments?
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https://api.github.com/repos/pandas-dev/pandas/issues/12325 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12325/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12325/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12325/events | https://github.com/pandas-dev/pandas/pull/12325 | 133,489,213 | MDExOlB1bGxSZXF1ZXN0NTkyODMzMzE= | 12,325 | CLN: change getargspec -> signature | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-02-14T01:08:35Z | 2016-02-17T13:20:17Z | 2016-02-17T13:20:15Z | CONTRIBUTOR | null | Change signature in compat to be able to return defaults, varargs,
kwargs
Closes #12171
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level names are lost on `MultiIndex.from_arrays(cartesian_product(table.index.levels))`
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```
import warnings
warnings.simplefilter("default")
import pandas as pd
```
This re... | {
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closes #12332
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https://api.github.com/repos/pandas-dev/pandas/issues/12330 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12330/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12330/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12330/events | https://github.com/pandas-dev/pandas/pull/12330 | 133,765,443 | MDExOlB1bGxSZXF1ZXN0NTkzODk2MDE= | 12,330 | DOC: add addtl docs for FloatIndexing changes in 0.18.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12331 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12331/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12331/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12331/events | https://github.com/pandas-dev/pandas/pull/12331 | 133,777,043 | MDExOlB1bGxSZXF1ZXN0NTkzOTUxNDU= | 12,331 | BUG: Common NumericIndex.__new__, with fixed name handling | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12332 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12332/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12332/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12332/events | https://github.com/pandas-dev/pandas/issues/12332 | 133,792,909 | MDU6SXNzdWUxMzM3OTI5MDk= | 12,332 | Resample with OHLC sometimes results in series on pandas release 0.18.0.rc1 | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-02-15T19:01:58Z | 2016-02-15T20:29:10Z | 2016-02-15T20:28:58Z | CONTRIBUTOR | null | ``` python
In [1]: import pandas as pd
In [2]: index = pd.date_range('1-1-2000', '2-15-2000', freq='h')
In [3]: index = index.union(pd.date_range('4-15-2000', '5-15-2000', freq='h'))
In [4]: s = pd.Series(range(len(index)), index=index)
In [5]: a = s.loc[:'4-15-2000'].resample('30T').ohlc()
In [6]: b = s.loc[:'4-1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12333 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12333/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12333/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12333/events | https://github.com/pandas-dev/pandas/issues/12333 | 133,815,699 | MDU6SXNzdWUxMzM4MTU2OTk= | 12,333 | API: behaviour of label indexing with floats on integer index | {
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"followers_url": "https://api.github.com/users/jr... | 21 | 2016-02-15T21:02:04Z | 2016-03-08T23:38:19Z | 2016-03-08T23:38:19Z | CONTRIBUTOR | null | from #12246
@jorisvandenbossche this looks odd
```
In [11]: s = pd.Series([1,2,3])
In [12]: s.loc[0.0] = 10
In [13]: s.loc[0.0]
TypeError: cannot do label indexing on <class 'pandas.indexes.range.RangeIndex'>
with these indexers [0.0] of <type 'float'>
```
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https://api.github.com/repos/pandas-dev/pandas/issues/12334 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12334/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12334/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12334/events | https://github.com/pandas-dev/pandas/issues/12334 | 133,825,705 | MDU6SXNzdWUxMzM4MjU3MDU= | 12,334 | API: consistency is return results of aggregation on SeriesGroupby | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-02-15T21:52:43Z | 2016-02-17T01:12:08Z | 2016-02-17T01:12:08Z | CONTRIBUTOR | null | xref 12329
For consistency, the proposal is to make `[4]` have a multi-level index `('C','sum'),('C','std')` as its not a rename (like `[5]`). This previously raised in 0.17.1
```
In [2]: df = DataFrame({'A': ['foo', 'bar', 'foo', 'bar',
'foo', 'bar', 'foo', 'foo'],
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https://api.github.com/repos/pandas-dev/pandas/issues/12335 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12335/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12335/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12335/events | https://github.com/pandas-dev/pandas/pull/12335 | 133,829,161 | MDExOlB1bGxSZXF1ZXN0NTk0MTkzOTI= | 12,335 | API: consistency in aggregate groupby results | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-02-15T22:12:16Z | 2016-02-17T01:12:08Z | 2016-02-17T01:12:08Z | CONTRIBUTOR | null | closes #12334
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https://api.github.com/repos/pandas-dev/pandas/issues/12336 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12336/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12336/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12336/events | https://github.com/pandas-dev/pandas/issues/12336 | 133,839,496 | MDU6SXNzdWUxMzM4Mzk0OTY= | 12,336 | Initializing category with single value raises AttributeError | {
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In [2]: pd.Series([0,0,0], dtype="category")
Out[2]:
0 0
1 0
2 0
dtype: category
Categories (1, int64): [0]
In [3]: pd.Series(0, index=range(3), dtype="category")
---------------------------------------------------------------------------
AttributeError ... | {
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... | 17 | 2016-02-15T23:48:58Z | 2020-04-04T20:36:50Z | 2020-04-04T20:36:50Z | NONE | null | Getting this error if (and I think only if) `LANG` is not defined or not set to any `utf8`-conforming value on 0.18.0rc1 (Mac OS X 10.10, python 3.4.4, numpy 0.11.0b3):
```
ERROR: test_to_latex_filename (pandas.tests.test_format.TestDataFrameFormatting)
-----------------------------------------------------------------... | {
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with Python 2.7.11:
```
ERROR: test_constructor_compound_dtypes (pandas.tests.frame.test_block_internals.TestDataFrameBlockInternals)
----------------------------------------------------------------------
Traceback (most recent call ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12340 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12340/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12340/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12340/events | https://github.com/pandas-dev/pandas/issues/12340 | 133,860,302 | MDU6SXNzdWUxMzM4NjAzMDI= | 12,340 | read_csv behavior with large floats | {
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"descript... | closed | false | null | [] | null | 3 | 2016-02-16T01:48:05Z | 2016-02-16T02:15:02Z | 2016-02-16T02:14:53Z | NONE | null | I have a data file in text which has 4 columns
```
$head sample.txt
SourceID Photons AvgX AvgY
6144039378640938.000000 71 1457.802817 2692.802817
6144053114071082.000000 8 1498.125000 2696.375000
6145000614093866.000000 0 nan nan
6145000614092842.000000 0 nan nan
6144137763642410.000000 0 nan nan
```
The 0th column r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12341 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12341/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12341/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12341/events | https://github.com/pandas-dev/pandas/issues/12341 | 133,900,008 | MDU6SXNzdWUxMzM5MDAwMDg= | 12,341 | Categorical data not supported in plots of parallel coordinates | {
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... | 14 | 2016-02-16T06:46:51Z | 2021-04-23T00:55:06Z | null | NONE | null | Just hoping to see if it might be possible to support categorical data in the fantastic parallel coordinates plot function.
I've uploaded an example script and dataset where the current code fails:
[Archive.zip](https://github.com/pydata/pandas/files/131996/Archive.zip)
Also, variable line widths that reflect freque... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12342 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12342/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12342/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12342/events | https://github.com/pandas-dev/pandas/pull/12342 | 133,904,487 | MDExOlB1bGxSZXF1ZXN0NTk0NTE4OTQ= | 12,342 | BUG: Fix bug where sort_index if unsorted levels. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12343 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12343/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12343/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12343/events | https://github.com/pandas-dev/pandas/issues/12343 | 133,930,342 | MDU6SXNzdWUxMzM5MzAzNDI= | 12,343 | Weird assignment behaviour with MultiIndex | {
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... | 2 | 2016-02-16T09:39:04Z | 2019-10-21T19:34:17Z | null | NONE | null | I came across some weird behavior when using assignment with a multi-index in Pandas 0.17.1
```
import pandas as pd
lvl0=range(2)
lvl1 = range(3)
index=pd.MultiIndex.from_product([lvl0,lvl1])
columns=['A','B']
df1=pd.DataFrame(data=1, columns=columns, index=index)
df2 = pd.DataFrame(data=2, index=lvl1, columns=['A'])
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https://api.github.com/repos/pandas-dev/pandas/issues/12344 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12344/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12344/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12344/events | https://github.com/pandas-dev/pandas/issues/12344 | 133,943,078 | MDU6SXNzdWUxMzM5NDMwNzg= | 12,344 | DataFrame.fillna corrupts columns with duplicated names | {
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# Pandas version 0.17.1
import pandas as pd
df = pd.DataFrame({'Same': 1.0, ' Same': pd.np.nan, ' Same': pd.np.nan}, index=[0,1,2])
df.columns = [c.strip() for c in df.columns]
df.iloc[:, 2] # Returns all 1.0
df.iloc[:, 0] = df.iloc[:, 0].fillna(df.iloc[:, 1])
df.iloc[:, 2] # Column 2 is corrupted and returns al... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12345 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12345/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12345/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12345/events | https://github.com/pandas-dev/pandas/pull/12345 | 133,949,043 | MDExOlB1bGxSZXF1ZXN0NTk0NzQxOTk= | 12,345 | ENH: gbq docs update | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12346 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12346/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12346/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12346/events | https://github.com/pandas-dev/pandas/issues/12346 | 133,964,426 | MDU6SXNzdWUxMzM5NjQ0MjY= | 12,346 | Inconsistencies in index comparisons | {
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"color": "00... | closed | false | null | [] | null | 1 | 2016-02-16T12:07:08Z | 2016-02-16T14:06:56Z | 2016-02-16T14:06:56Z | NONE | null | Comparing indexes returns two different data types. This is problematic since one of the types is a bool while the other is a Series which [explicitly can't be treated in a bool context](http://pandas.pydata.org/pandas-docs/stable/gotchas.html#using-if-truth-statements-with-pandas). Not to mention that the next section... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12347 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12347/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12347/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12347/events | https://github.com/pandas-dev/pandas/issues/12347 | 133,993,724 | MDU6SXNzdWUxMzM5OTM3MjQ= | 12,347 | How to remove the " punctuation using .to_csv method? | {
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"descript... | closed | false | null | [] | null | 1 | 2016-02-16T14:22:59Z | 2016-02-16T14:32:42Z | 2016-02-16T14:32:35Z | NONE | null | I have a data frame as below:
```
#user item rating time word_count review
3 2 4.0 131600 123 1 1 3 3 3 4 4 5 ..
......
```
The number in review denotes the word_id. When I apply the `to_csv` function:
```
df.to_csv("data.votes", sep = " ", cols = ['user','item','rating','time','wo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12348 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12348/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12348/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12348/events | https://github.com/pandas-dev/pandas/issues/12348 | 134,004,899 | MDU6SXNzdWUxMzQwMDQ4OTk= | 12,348 | datetimeindex resample issue | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-02-16T15:07:01Z | 2016-02-16T15:24:58Z | 2016-02-16T15:15:22Z | NONE | null | Hi- I am observing odd behavior when trying to use resample on an uneven datetimeindex. See the below code to reproduce:
```
import pandas as pd
import numpy as np
bug_datetimeindex = pd.date_range('2013-12-30', '2014-01-07')
bug_datetimeindex = bug_datetimeindex.drop([ \
pd.Timestamp('2014-01-01'), \
pd.Timestamp('2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12350 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12350/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12350/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12350/events | https://github.com/pandas-dev/pandas/pull/12350 | 134,010,158 | MDExOlB1bGxSZXF1ZXN0NTk1MDYxMjM= | 12,350 | docs: add hyperlinks to str.get_dummies | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-02-16T15:25:49Z | 2016-02-17T01:09:19Z | 2016-02-17T01:09:18Z | CONTRIBUTOR | null | The description used in the summary table is the first sentence of
str_get_dummies()'s docstring, edited to match the style of other
summaries.
I tried to build this branch locally – the _Method Summary_ section doesn't render with this change and I can't see why, it looks syntactically correct to me…
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https://api.github.com/repos/pandas-dev/pandas/issues/12351 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12351/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12351/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12351/events | https://github.com/pandas-dev/pandas/issues/12351 | 134,024,218 | MDU6SXNzdWUxMzQwMjQyMTg= | 12,351 | BUG: resample by BusinessHour raises ValueError | {
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... | 8 | 2016-02-16T16:16:43Z | 2021-04-23T00:56:56Z | null | CONTRIBUTOR | null | I digged into a bit and found that `resample` by `BusinessHour` ran into here since the offset is neither string nor `Tick`:
https://github.com/pydata/pandas/blob/master/pandas/tseries/resample.py#L999
``` python
if not isinstance(offset, Tick): # and first.time() != last.time():
# hack!
first = f... | {
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```
tmp = pd.DataFrame({
'ID': {pd.Timestamp('2015-06-05 00:00:00'): '0010100903', pd.Timestamp('2015-06-08 00:00:00'): '0010150847'},
'DATE': {pd.Timestamp('2015-06-05 00:00:00'): '2015-06-05', pd.Timestamp('2015-06-08 00:00:00'): '2015-06-08'}})
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... | 23 | 2016-02-16T17:01:56Z | 2020-04-10T03:33:18Z | null | CONTRIBUTOR | null | ``` python
In [1]: import xarray as xr
In [2]: import pandas as pd
In [3]: df = pd.DataFrame({'a': pd.np.random.rand(10), 'b': pd.np.random.rand(10)})
In [4]: df
Out[4]:
a b
0 0.711341 0.636954
1 0.199090 0.370938
2 0.486677 0.274427
3 0.407370 0.282419
4 0.760676 0.069163
5 0.098402 ... | {
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... | 13 | 2016-02-16T18:20:00Z | 2019-05-22T20:08:55Z | null | NONE | null | I'd like to be able to set the hatch styles (using a cycler) in plot(kind='area').
This would allow me to produce black&white plots correctly with more than two categories.
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] | closed | false | null | [] | null | 4 | 2016-02-16T19:13:07Z | 2020-01-27T15:55:16Z | 2016-09-22T15:17:11Z | NONE | null | When using `pd.date_range` we work our way forwards from start to end. It would be nice to pass a flag or use the dates in reverse to go from end to start when creating the date_range.
``` python
#EX:
pd.date_range(end, start)
#or
pd.date_range(start, end, end_to_start=True)
```
``` python
Ex:
start = datetime.datet... | {
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``` python
def compare(df):
df1 = df.query('x < 2000')
df2 = df.query('x < 2000')
return df1.equals(df2)
```
I... | {
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```
import pandas as pd
tm = pd.DatetimeIndex(pd.to_datetime(["2014-01-01 10:10:10"]), tz='UTC').tz_convert('Europe/Rome')
df = pd.DataFrame({'tm': tm})
df.set_index(df.tm, inplace=True)
print(df.tm[0].hour)
print(df.index[0].hour)
```
writes:
```
11
10
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would decompress the data and then call np.frombuffer on a bytes
object. Because a bytes object is not a mutable buffer, the resulting
ndarray had writeable=False. The new implementation ensures that the
pandas is the only owner of this new buffer... | {
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```
In [6]: df = DataFrame({'A': ['foo', 'bar', 'foo', 'bar',
'foo', 'bar', 'foo', 'foo'],
'B': ['one', 'one', 'two', 'two',
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https://api.github.com/repos/pandas-dev/pandas/issues/12367 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12367/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12367/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12367/events | https://github.com/pandas-dev/pandas/pull/12367 | 134,318,763 | MDExOlB1bGxSZXF1ZXN0NTk2NjM3MjE= | 12,367 | fmt in TimeFormatter is now changeable | {
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containing data of an experiment lasting a few minutes or hours. When
plotting such data frame, the x-axis ticks are formatted as `'%H:%M:%S'`
as standard. In most cases, either `'%H:%M'` or `'%M:%S'` contains enough
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https://api.github.com/repos/pandas-dev/pandas/issues/12368 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12368/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12368/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12368/events | https://github.com/pandas-dev/pandas/pull/12368 | 134,331,256 | MDExOlB1bGxSZXF1ZXN0NTk2NzA4ODY= | 12,368 | BUG #12336: Fix init categorical series with scalar value | {
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Changed the tests to match the other ones in `test_fromValue`.
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"descript... | closed | false | null | [] | null | 4 | 2016-02-17T16:58:21Z | 2016-02-22T08:20:35Z | 2016-02-17T17:03:01Z | MEMBER | null | Sorry in advance if this was already reported - I searched a bit but didn't know exactly what to search.
```
In [2]: df = pd.DataFrame(0, index=range(1), columns=pd.MultiIndex.from_product([['a', 'b'], ['c']]))
In [3]: cols = [('a',), ('b',)]
In [4]: df[cols[0]]
Out[4]:
c
0 0
In [5]: df[cols[1]]
Out[5]:
c
... | {
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... | 1 | 2016-02-17T22:27:30Z | 2019-06-28T16:15:02Z | 2019-06-28T16:15:02Z | CONTRIBUTOR | null | xref: https://github.com/pydata/pandas/pull/12370
This should be done inside `index.pyx`
if the lookup fails and if its a non-float index, then coerce to int, and if its the same
lookup again.
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```
(py3.5)[Tue Apr 05 08:16:18 ~/miniconda/envs/py3.5/pandas]$ ipython
Python 3.5.1 |Continuum Analytics, Inc.| (default, Dec 7 2015, 11:24:55)
In [1]: pd.Series.sum.__qualname__
Out[1]: 'Series.sum'
In [2]: pd.Series.cumsum.__qualname__
Out[2]: 'Series.cumsum'
In [3]: pd.Series.cumsum.__module__
O... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12373 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12373/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12373/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12373/events | https://github.com/pandas-dev/pandas/issues/12373 | 134,427,698 | MDU6SXNzdWUxMzQ0Mjc2OTg= | 12,373 | BUG: rolling functions raise ValueError on float32 data | {
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minimal example:
```
import pandas as pd
import numpy as np
pd.DataFrame(np.arange(5, dtype=np.float32)).rolling(window=3).max()
```
stack trace:
```
<ipython-input-25-795ba6485799> in <module>()
----> 1 pd.DataFrame(np.arange(5, dtype=np.float32)).rolling(window=3).max()
/venv/lib/python3.4... | {
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```
In [3]: pd.set_option('display.precision', 2)
In [4]: pd.DataFrame(np.random.randn(5, 5)).corr()
Out[4]:
0 1 2 3 4
0 1.00 -0.57 2.15e-02 -3.48e-02 ... | {
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This template will help you and us respond to your issues in an efficient and timely manner.
Please fill out all sections and use [github markdown for code blocks](https://help.github.com/articles/basic-writing-and-formatting-syntax/)
#### Actual Behavior
#### Expected Behavior
####... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12376 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12376/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12376/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12376/events | https://github.com/pandas-dev/pandas/pull/12376 | 134,481,293 | MDExOlB1bGxSZXF1ZXN0NTk3NTA4NTc= | 12,376 | Fix #12373: rolling functions raise ValueError on float32 data | {
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- [x] tests added
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry added
- [x] add test for various other dtypes
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https://api.github.com/repos/pandas-dev/pandas/issues/12377 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12377/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12377/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12377/events | https://github.com/pandas-dev/pandas/issues/12377 | 134,492,574 | MDU6SXNzdWUxMzQ0OTI1NzQ= | 12,377 | Support Resampling Weeks to/from FY5253Quarter | {
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... | 1 | 2016-02-18T06:25:04Z | 2021-04-23T00:59:22Z | null | CONTRIBUTOR | null | [52–53-week fiscal year](https://en.wikipedia.org/wiki/4%E2%80%934%E2%80%935_calendar#52.E2.80.9353-week_fiscal_year) are designed to end on the same day of the week each quarter / year. Therefore it should be possible to upsample / downsample to/from weeks. I made an initial attempt at this in https://github.com/pydat... | {
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] | closed | false | null | [] | null | 1 | 2016-02-18T06:40:36Z | 2016-02-18T13:07:44Z | 2016-02-18T13:07:44Z | CONTRIBUTOR | null | Reposted from: https://github.com/pydata/pandas/pull/5148/files#r10454189
Currently you get the following behavior because there is not a canonicalized offset name:
```
In [10]: get_offset("QS-JAN") == get_offset("QS")
Out[10]: True
In [29]: get_offset("QS-JAN").name == get_offset("QS").name
Out[29]: False
n [31]: ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12379 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12379/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12379/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12379/events | https://github.com/pandas-dev/pandas/issues/12379 | 134,495,942 | MDU6SXNzdWUxMzQ0OTU5NDI= | 12,379 | No str for FY5253Quarter | {
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... | 3 | 2016-02-18T06:46:51Z | 2021-04-23T01:02:03Z | null | CONTRIBUTOR | null | ``` python
from pandas.tseries.offsets import FY5253Quarter
offset_fyq = FY5253Quarter(weekday=6, startingMonth=12,
variation="last", qtr_with_extra_week=4)
str(pd.Period("2011-1-2", freq=offset_fyq))
```
```
ValueError Traceback (most recent call last)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12380 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12380/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12380/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12380/events | https://github.com/pandas-dev/pandas/issues/12380 | 134,509,853 | MDU6SXNzdWUxMzQ1MDk4NTM= | 12,380 | Scatter plot should have a discrete colorbar when 'c' is integer | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2016-02-18T08:12:17Z | 2021-01-27T15:47:43Z | 2021-01-27T15:47:43Z | CONTRIBUTOR | null | ``` python
import pandas as pd
pd.set_option('max_rows', 10)
import sklearn.datasets as datasets
import pandas_ml as pdml # https://github.com/pandas-ml/pandas-ml
import matplotlib.pyplot as plt
df = pdml.ModelFrame(datasets.load_iris())
print(df)
.target sepal length (cm) sepal width (cm) petal length (cm) \... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12381 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12381/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12381/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12381/events | https://github.com/pandas-dev/pandas/issues/12381 | 134,522,532 | MDU6SXNzdWUxMzQ1MjI1MzI= | 12,381 | workspace snapshot like R's save.image() | {
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] | closed | false | null | [] | null | 11 | 2016-02-18T09:15:40Z | 2016-02-18T16:55:52Z | 2016-02-18T12:59:05Z | NONE | null | there are a couple of questions on this on Stackoverflow:
http://stackoverflow.com/questions/35465534/how-do-i-save-the-entire-workspace-in-pandas-like-rdata
http://stackoverflow.com/questions/12504951/save-session-in-ipython-like-in-matlab
Even the individual dataframe saving is a bit confusing - http://stackoverflow... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12382 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12382/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12382/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12382/events | https://github.com/pandas-dev/pandas/issues/12382 | 134,540,744 | MDU6SXNzdWUxMzQ1NDA3NDQ= | 12,382 | apply() silently removes time zone information from DateTime values | {
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apply() silently removes time zone information from DateTime values. I think this bug is related to https://github.com/pydata/pandas/issues/10668, but it is apparently not the same.
#### Code Sample, a copy-pastable example if possible
``` python
import pandas as pd
date_range = pd.date_range('1/1/2011', periods=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12383 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12383/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12383/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12383/events | https://github.com/pandas-dev/pandas/issues/12383 | 134,648,285 | MDU6SXNzdWUxMzQ2NDgyODU= | 12,383 | unexpected shape: np.nanmax returns Series when ran on a Series, unlike np.nanmean, np.max | {
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] | closed | false | null | [] | null | 2 | 2016-02-18T17:53:31Z | 2016-02-18T18:05:29Z | 2016-02-18T18:02:09Z | NONE | null | When ran on a pd.Series np.nanmax returns Series, while `np.nanmean` and `np.max` return a scalar:
#### Code Sample, a copy-pastable example if possible
```
li = [1,2,3,4,5]
ds = pd.Series(li, index= ["%s"%x for x in li])
# these returns a scalar
print(np.nanmean(ds))
print(np.max(ds))
#this returns a Series
print(n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12384 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12384/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12384/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12384/events | https://github.com/pandas-dev/pandas/pull/12384 | 134,701,391 | MDExOlB1bGxSZXF1ZXN0NTk4NjU3ODA= | 12,384 | Use correct random choice function in code snippet | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12386 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12386/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12386/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12386/events | https://github.com/pandas-dev/pandas/issues/12386 | 134,707,408 | MDU6SXNzdWUxMzQ3MDc0MDg= | 12,386 | CLN: remove pandas.util.testing.choice | {
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so I think this was for numpy < 1.7 compat.
we should remove `pandas.util.testing.choice`
https://github.com/pydata/pandas/blob/master/pandas/util/testing.py#L173
there might be some latent doc references
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"de... | closed | false | null | [] | null | 9 | 2016-02-19T00:44:06Z | 2021-06-22T13:24:33Z | 2016-02-19T01:13:41Z | CONTRIBUTOR | null | `DataFrame.from_dict` does not seem to behave [according to the documentation](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.from_dict.html).
```
import pandas as pd
print("pandas.from_dict(<dict>, orient='index')")
print(pd.DataFrame.from_dict(dict([ ['key1', 1],['key2',2] ]), orient='ind... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12388 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12388/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12388/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12388/events | https://github.com/pandas-dev/pandas/issues/12388 | 134,748,423 | MDU6SXNzdWUxMzQ3NDg0MjM= | 12,388 | pd.eval division operation upcasts float32 to float64 | {
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Pandas upcasts both terms to 64-bit floats when it detects a division, see:
https://github.com/pydata/pandas/blob/528108bba4104b939bcfe6923677ddacc916ff00/pandas/computation/ops.py#L453
I think numexpr can handle ... | {
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`1.12.0.dev0+a2f5392 (bad)`
https://travis-ci.org/pydata/pandas/jobs/110022540 (bad)
skipping with #12389
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How would people feel about adding `columns` and `index` arguments to `drop... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12395 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12395/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12395/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12395/events | https://github.com/pandas-dev/pandas/pull/12395 | 134,943,936 | MDExOlB1bGxSZXF1ZXN0NTk5ODk4MDk= | 12,395 | Doc/df filter | {
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<dl class="method">
<dt id="pandas.DataFrame.filter">
<code class="descclassname">DataFrame.</code><code class="descname">filter</code><span class="sig-paren">(</span><em>items=None</em>, <em>like=None</em>, <em>regex=None</em>, <em>axis=None</em><s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12396 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12396/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12396/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12396/events | https://github.com/pandas-dev/pandas/issues/12396 | 134,951,968 | MDU6SXNzdWUxMzQ5NTE5Njg= | 12,396 | Concatenation of DFs with all NaT columns and TZ-aware ones breaks | {
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```
In [1]: import pandas as pd
In [2]: df1 = pd.DataFrame([[pd.NaT], [pd.NaT]])
In [3]: df1
Out[2]:
0
0 NaT
1 NaT
In [4]: df2 = pd.DataFrame([[pd.Timestamp('2015/01/01', tz='UTC')], [pd.Timestamp('2016/01/01', tz='UTC')]]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12397 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12397/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12397/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12397/events | https://github.com/pandas-dev/pandas/issues/12397 | 134,982,765 | MDU6SXNzdWUxMzQ5ODI3NjU= | 12,397 | Add to_dataframe() method to MultiIndex | {
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Would it be convenient to provide a `to_dataframe` method for index classes? This would be a natura... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12398 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12398/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12398/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12398/events | https://github.com/pandas-dev/pandas/issues/12398 | 134,998,678 | MDU6SXNzdWUxMzQ5OTg2Nzg= | 12,398 | ENH: Series between inclusive end point bifurcation | {
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```
def between(self, left, right, inclusive=True):
"""
Return boolean Series equivalent to left <= series <= right. NA values
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Fixed errors identified by `flake8` and correctly rebase my branch before issuing PR.
<dl class="method">
<dt id="pandas.DataFrame.filter">
<code class="descclassname">DataFrame.</code><code class="descname">filter</code><span class="sig-paren">(</sp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12400 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12400/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12400/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12400/events | https://github.com/pandas-dev/pandas/pull/12400 | 135,043,060 | MDExOlB1bGxSZXF1ZXN0NjAwNDA0MDc= | 12,400 | COMPAT: Objects construction compat with xarray.Dataset | {
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"de... | closed | false | null | [] | null | 23 | 2016-02-20T06:59:54Z | 2017-08-17T10:28:43Z | 2017-08-17T10:28:43Z | CONTRIBUTOR | null | - [x] closes #12353
- [x] tests added
- [ ] tests passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
I'm changed the dict / mapping issue, but I can't get this part working (so the tests fail at the moment):
> But pd.Series(dict(xr.Dataset({'a': 2, 'b': 3}))) doesn't work either, bec... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12401 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12401/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12401/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12401/events | https://github.com/pandas-dev/pandas/issues/12401 | 135,108,040 | MDU6SXNzdWUxMzUxMDgwNDA= | 12,401 | DEPR: filter & select | {
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- [x] ``.select`` (#17633)
- [ ] ``.filter``
xref #6599
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- [ X ] tests added / passed
- [ X ] passes `git diff upstream/master | flake8 --diff`
- [ X ] whatsnew entry
Amends pandas.Series.between method to set different inclusive/exclusive endpoints.
inclusive : Boolean to indicate whether or not to include both the left
and right endpoin... | {
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"color": "02d7e1"... | closed | false | null | [] | null | 29 | 2016-02-20T23:06:11Z | 2018-01-20T02:21:29Z | 2016-11-16T22:22:21Z | CONTRIBUTOR | null | - [X] closes #12396
- [X] tests added / passed
- [X] passes `git diff upstream/master | flake8 --diff`
- [X] whatsnew entry
- `concat` to handle tz-aware all NaT/mixed cases
- added unit tests
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