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https://api.github.com/repos/pandas-dev/pandas/issues/13908
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13,908
BUG: DatetimeIndex indexing fails at nanosecond precision if timezone is used
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4
2016-08-04T17:46:26Z
2017-06-29T14:50:22Z
2016-08-04T20:30:19Z
CONTRIBUTOR
null
`DatetimeIndex` fails to find its own values if a timezone is used: ``` index = pd.DatetimeIndex(['2016-06-28 08:30:00.123456789'], dtype='datetime64[ns, America/Chicago]') df = pd.DataFrame({'a':[10]}, index=index) df.loc[df.index[0]] ``` It fails with: ``` *** KeyError: 'the label [2016-06-28 08:30:00.123456789-05...
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13,909
BUG: pd.to_datetime doesn't raises AttributeError with specific input…
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2016-08-04T19:38:56Z
2016-08-05T19:52:09Z
2016-08-05T19:52:05Z
CONTRIBUTOR
null
- [x] closes #12424 - [x] tests added / passed - [ ] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry …s when errors='ignore'(#12424)
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https://api.github.com/repos/pandas-dev/pandas/issues/13910
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169,488,064
MDU6SXNzdWUxNjk0ODgwNjQ=
13,910
Type inferencing makes assignment of datetime to an object Series non-idempotent
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7
2016-08-04T22:27:45Z
2019-11-02T18:22:16Z
2019-11-02T18:09:16Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` >>> import pandas as pd >>> s = pd.Series() >>> ts = pd.Timestamp('2016-01-01') >>> s['a'] = None >>> s['b'] = ts >>> s a None b 1451606400000000000 dtype: object ``` OK, no worries, we got coerced to integer. Now let's just ...
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13,911
BUG: na_rep given precedence in to_html
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2016-08-04T23:06:54Z
2017-02-27T21:05:28Z
2017-02-27T16:00:58Z
CONTRIBUTOR
null
- [x] closes #13828 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry ~~I know new tests are appreciated from the get-go, but it's the end of the day for me. I'll add new tests and the appropriate whatsnew entry tomorrow.~~
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https://api.github.com/repos/pandas-dev/pandas/issues/13912
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13,912
BUG: Columns used in sum on 1 row dataframe depend on values instead of dtype
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3
2016-08-04T23:55:20Z
2021-05-17T15:17:30Z
2021-05-17T15:17:30Z
CONTRIBUTOR
null
It seems that somehow the columns used in `sum` when applied to a 1 row dataframe depend on the values in the row instead of just the dtypes. Observe: ``` python import pandas as pd import numpy as np # Frame with some non-numeric dtypes df = pd.DataFrame({'a': [1], 'b': [1.1], 'c': ['foo'], 'd': [pd.Timestamp('2000-...
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https://api.github.com/repos/pandas-dev/pandas/issues/13913
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13,913
Groupby apply using a custom function displays incorrect arguments (DF)
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8
2016-08-05T00:07:55Z
2016-08-05T17:57:07Z
2016-08-05T00:12:24Z
NONE
null
#### Code Sample, a copy-pastable example if possible ``` def func3(df): print(df) df['Mean'] = np.mean(df['Data'].values) out = df[['Mean', 'Group']].iloc[0, :].copy(deep=True) return out var1 = [1, 2, 3] grp_var = ['Group1', 'Group2', 'Group2'] df_test = pd.DataFrame.from_dict({'Data': var1, 'Group'...
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13,914
BUG: resampling a MultiIndex and specified keys are tuples in .agg
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2016-08-05T04:16:31Z
2021-05-01T23:04:46Z
null
NONE
null
#### Code Sample, a copy-pastable example if possible You can reproduce the error by pasting this chunk of code, but this error is ONLY with pandas 0.18.0 or higher. This chunk of code worked fine under 0.17.1 and earlier, and is related to the change in how resampling is done. The error I get is "TypeError: othe...
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https://api.github.com/repos/pandas-dev/pandas/issues/13915
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13,915
DOC: Add missing word in docstring
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2016-08-05T08:04:06Z
2016-08-05T10:28:44Z
2016-08-05T10:24:34Z
CONTRIBUTOR
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13,916
sum in pandas can concatenate strings
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1
2016-08-05T08:21:10Z
2021-11-13T17:32:15Z
null
MEMBER
null
Possibly related: #13912 This looks wrong to me -- probably a bug? ``` In [36]: pd.Series(['a', 'b', 'c']).sum() Out[36]: 'abc' In [37]: pd.__version__ Out[37]: '0.18.1' ``` This happens on DataFrames, as well: ``` In [8]: pd.Series(['a', 'b', 'c']).to_frame().sum() Out[8]: 0 abc dtype: object ``` Note, of cou...
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13,917
BUG: multi-type SparseDataFrame fixes and improvements
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13
2016-08-05T12:28:58Z
2016-08-10T10:42:54Z
2016-08-10T10:38:24Z
CONTRIBUTOR
null
- [X] 1 tests added / passed - [X] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Types were incorrectly determined when slicing SparseDataFrames with multiple dtypes (such as float and object) into SparseSeries. ``` python import pandas as pd sdf = pd.SparseDataFrame([[1, 2, 'a'], [4, 5, 'b']...
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13,918
Pandas.items in Python2 vs Python3
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2016-08-05T13:07:22Z
2017-08-19T21:59:20Z
2017-08-19T21:59:20Z
CONTRIBUTOR
null
Inconsistency between python2 and 3 - python2 has no `items` method (but does have `iteritems`). Shouldn't `items` and `iteritems` be the same? #### Code Sample, a copy-pastable example if possible ``` import pandas as pd import string ser = pd.Series(np.arange(10), index=list(string.ascii_letters[:10])) print(ser.it...
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13,919
ERR: Categoricals should not allow non-strings when an object dtype is passed
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11
2016-08-05T13:11:06Z
2020-05-16T20:31:21Z
null
CONTRIBUTOR
null
HDF Store (with `table`) doesn't support categories with mixed type inside a category Even though it is possible to store category type using `to_hdf` with `table`, you can't do that when you have mixed types inside the category. It would be nice to mention this at least on docs. #### Code Sample, a copy-pastable exa...
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13,920
removed compat check for Series.items method
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2016-08-05T15:55:49Z
2017-02-27T16:04:05Z
2017-02-27T16:04:05Z
CONTRIBUTOR
null
Should I add something in the whatsnew? I couldn't find a relevant test, so this is to check if this breaks any tests in CI. - [x] closes #13918 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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13,921
Split-out Cython modules from algos.pyx
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0
2016-08-05T19:46:41Z
2016-08-06T21:44:36Z
2016-08-06T21:44:17Z
CONTRIBUTOR
null
This is a broad discussion, following some observations from @jreback. With the impending addition of `joins_func_helper.pxi.in`, does it make sense to split Cython modules so that `algos.pyx` isn't so massive? CC @sinhrks
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13,922
memory leak in reindex
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3
2016-08-06T16:44:28Z
2016-08-06T18:06:27Z
2016-08-06T18:06:12Z
CONTRIBUTOR
null
When I reindex, I see memory usage permanently go up. Path I traced was from pd.DataFrame.assign -> pd.Series.reindex -> pd.Index.reindex Not sure what the ultimate source of the issue is ``` python import psutil import pandas as pd K = 10 N = 1000 * 1000 for i in range(K): # any of these will cause the issue...
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13,923
Stata read categoricals gives ValueError: Categorical categories must be unique
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2016-08-06T17:30:47Z
2016-08-10T22:37:45Z
2016-08-10T22:37:44Z
NONE
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I am trying to open some Stata files generated in [IPUMS International](https://international.ipums.org/international/), but I am getting a `ValueError: Categorical categories must be unique`. I opened in Stata and could not find a repeated category for the column I am trying to import. I had similar issues with other ...
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13,924
CLN/PERF: remove ndarray.take and platform int conversions
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2016-08-06T19:32:59Z
2016-08-17T10:19:08Z
2016-08-15T23:10:03Z
CONTRIBUTOR
null
I was looking into #13745 (GIL on merge), and there's some low hanging fruit in the non-parallel case. - a couple python `any` calls - unnecessary (?) platform int checks / conversions. I'm testing on Windows - I'm assuming on Linux 64 this doesn't really make a difference. ``` python In [1]: right = pd.DataFrame({'...
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13,925
BLD: split join.pyx from algos.pyx
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1
2016-08-06T19:48:36Z
2016-08-06T21:44:17Z
2016-08-06T21:44:17Z
CONTRIBUTOR
null
closes #13921
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13,926
BUG: DatetimeTz shift raises AmbiguousTimeError near DST
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2016-08-06T20:40:44Z
2016-08-06T22:42:17Z
2016-08-06T22:42:17Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry As the same as #13650, caused by `.tz_localize(None)` which can be removed. ``` import pandas as pd s = pd.Series(pd.date_range('2016-11-06', freq='H', periods=10, tz='US/Eastern')) s.shift(1) # pytz.exceptions.Amb...
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169,774,255
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13,927
COMPAT/TST: windows sparse int comparisons
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2016-08-07T01:08:27Z
2016-08-07T01:24:12Z
2016-08-07T01:24:12Z
CONTRIBUTOR
null
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169,799,687
MDU6SXNzdWUxNjk3OTk2ODc=
13,928
CI: re-enable 3.4 build / updated conda-build on appeveyor
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1
2016-08-07T14:48:37Z
2017-01-20T13:56:41Z
2017-01-19T18:00:21Z
CONTRIBUTOR
null
[fix conda-build version](https://github.com/pydata/pandas/commit/cfbb24f2c0e33ee221c54fd4944458cb0c6f4e84) Builds are consecutive, 1 at a time. [disable 3.4 build](https://github.com/pydata/pandas/commit/7e15923d908a42008fb7fecde58be626277fd82e)
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13,929
Possible bug when parsing from string to datetime when slicing
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2016-08-07T22:40:11Z
2020-03-31T05:54:57Z
null
NONE
null
From [this question in SO](http://stackoverflow.com/questions/38774044/unexpected-behavior-in-pandas-timestamp-slicing?noredirect=1#comment64980593_38774044) Please consider the following example ``` data = pd.DataFrame(np.random.random((72000,3)), columns=list('uvw'), index=pd.date_range('2013-11-08 10:0...
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MDExOlB1bGxSZXF1ZXN0ODAzODIyODM=
13,930
BUG: freqstr may be parsed incorrectly
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2016-08-08T00:06:47Z
2016-08-13T22:44:08Z
2016-08-13T22:44:01Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Invalid freq like below doesn'traise `ValueError` properly. The PR makes all the below raise. ``` pd.tseries.frequencies.to_offset('U1') # <Micro> pd.tseries.frequencies.to_offset('3U1') # <3 * Micros> pd.tseries.f...
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169,926,343
MDU6SXNzdWUxNjk5MjYzNDM=
13,931
ERR: improved pd.Period date parsing and formatting
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2016-08-08T13:43:02Z
2020-05-11T02:12:08Z
null
NONE
null
It seems that pandas.Period has a few bugs w.r.t. date parsing and formatting, or at least poorly documented behavior. - The documentation makes no mention of the possible range of dates/years. - Formatting of years in strftime using the %Y format seems inconsistent. - Parsing of what is commonly assumed to be ISO-8601...
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13,932
CLN: resource warnings
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2016-08-08T13:43:09Z
2016-08-11T10:37:50Z
2016-08-09T21:53:08Z
CONTRIBUTOR
null
https://travis-ci.org/pydata/pandas/jobs/150623749 so we have warnings enabled on the 3.5/dev build. Lots of resource warnings....
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13,933
BUG: loffset isn't applied when using resample() with a TimedeltaIndex
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2016-08-08T14:05:21Z
2016-08-08T14:22:31Z
2016-08-08T14:15:39Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ``` In [3]: from pandas import * In [4]: rng = timedelta_range(start='0s', periods=10, freq='s') In [5]: df = DataFrame({'A' : range(10)}, index=rng) In [6]: df.resample('2S', loffset='2h').count() Out[6]: A 00:00:00 2 00:00:02 2 00:00:04 2 00:00:06 ...
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13,934
Column reappears after drop() when working on a reference of that column
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2016-08-08T14:25:13Z
2021-05-17T15:17:30Z
2021-05-17T15:17:30Z
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#### Code Sample, a copy-pastable example if possible ``` python import pandas df = pandas.DataFrame() df['a'] = [1,2,3] a = df.a df.drop(['a'], axis=1, inplace=True) print df.columns a -= a.mean() print df.columns ``` #### Current Output ``` python Index([], dtype='object') Index([u'a'], dtype='object') ``` ####...
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13,935
BUG: Right result for DatetimeIndex + TimeDelta when timezone is set(…
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8
2016-08-08T15:27:52Z
2016-12-30T23:13:50Z
2016-12-30T21:46:00Z
CONTRIBUTOR
null
- [x] closes #13905 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry …#13905)
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169,953,173
MDU6SXNzdWUxNjk5NTMxNzM=
13,936
Expand type specializations and multiple "by" parameters in merge_asof()
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7
2016-08-08T15:35:12Z
2016-12-16T23:10:34Z
2016-12-16T23:10:34Z
CONTRIBUTOR
null
`pd.merge_asof()` can take an integer or floating-point number in the `on` parameter, and it can take an integer or an object in the `by` parameter. Specifically, the user's types are promoted to `int64_t`, `double`, or `object` as needed. That means, for example, that an `int32_t` is permitted, but we'll have to creat...
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169,955,586
MDU6SXNzdWUxNjk5NTU1ODY=
13,937
BUG: DataFrame.to_records() bug in converting datetime64 index with timezone
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2016-08-08T15:45:10Z
2017-03-02T13:45:02Z
2017-03-02T13:44:58Z
NONE
null
#### Fix in to_records(), use pandas.core.common.is_datetime64_any_dtype instead of pandas.core.common.is_datetime64_dtype to check to see if the index is in fact of the datetime64 type. #### Code Sample, a copy-pastable example if possible ``` import datetime import pandas as pd import pytz data = [datetime.datetim...
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13,938
DOC: Added example of using OrderedDict for agg.
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2016-08-08T15:53:41Z
2016-08-08T16:10:54Z
2016-08-08T16:10:54Z
CONTRIBUTOR
null
- closes #12879 - [ ] tests added / passed (doc only), but builds on my machine - passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry (doc only)
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13,939
Reading SAS files from AWS S3
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6
2016-08-08T17:19:10Z
2019-12-11T22:06:12Z
null
NONE
null
Currently the `read_sas` method doesn't support reading SAS7BDAT files from AWS S3 like `read_csv`. Can it be added?
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13,940
BUG: properly close files opened by parsers
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2016-08-08T21:42:25Z
2016-08-11T10:37:42Z
2016-08-11T10:34:41Z
CONTRIBUTOR
null
- [x] closes #13932 - [x] tests passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Addresses all ~~most~~ of the `ResourceWarning`s from #13932. There were three tests that opened files but did not close them. The rest were due to parsers (`CParserWrapper` and `PythonParser`) opening ...
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ENH: PeriodIndex now has period dtype
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2016-08-08T22:14:19Z
2016-08-17T23:07:22Z
2016-08-17T22:18:51Z
MEMBER
null
- [x] split from #13755. - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry splitted `dtype` related part from #13755, to clarify the differences related to `PeriodIndex`
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13,942
BLD: Fix sparse warnings
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2016-08-08T23:44:42Z
2016-08-09T21:31:41Z
2016-08-09T21:31:09Z
MEMBER
null
- [x] split from #13849 (comment) - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` Because sparse `IntIndex` and `BlockIndex` store value locations as `int32`, its size / block numbers can't exceed `int32` also. warnings has been disappeared in appveyor. - https://ci.appveyor.com/pr...
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TST: Removed regex warning for read_csv
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2016-08-09T01:44:10Z
2016-08-09T21:53:08Z
2016-08-09T21:53:08Z
MEMBER
null
Follow-up to #13481 and partially fixes #13932. Regex mistakenly matches to the empty string, which will cause Python 3.x to issue a warning. In addition, not sure why this test was placed in `python_parsers_only.py`...
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DOC: Design drafts to assist with next-gen pandas internals discussion
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2016-08-09T03:07:06Z
2016-08-24T03:45:31Z
2016-08-24T03:45:31Z
MEMBER
null
Sprinted on my accumulated design ideas. There's more to do, but I'm going to take a break for a bit. I published this as a sphinx site temporarily to https://wesm.github.io/pandas2-design/ so it's easier to read. This needs to be a team effort, so depending on where the discussions go perhaps we can build a set of d...
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13,945
Msgpack roundtrips python 3 strings to bytes
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4
2016-08-09T05:39:58Z
2016-08-09T11:44:52Z
2016-08-09T10:06:07Z
CONTRIBUTOR
null
Possibly related to https://github.com/pydata/pandas/issues/13591. Causes https://github.com/dask/dask/issues/1452 #### Code Sample, a copy-pastable example if possible ``` Python import pandas as pd pd.msgpack.unpackb(pd.msgpack.packb("a")) ``` #### Expected Output ``` "a" ``` instead, we get ``` b"a" ``` #### out...
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pd.read_clipboard in Jupyter makes python 3.5 crash on windows
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10
2016-08-09T10:40:27Z
2016-11-15T01:21:57Z
2016-08-09T11:10:32Z
CONTRIBUTOR
null
Disclaimer: I'm not quite sure if the problem is really on pandas' side or on jupyter's. I have seen #4561 but this isn't the same problem. #### Code Sample, a copy-pastable example if possible Given the following code: ``` import pandas as pd pd.read_clipboard() ``` If I use it in a python file, it works fine. If...
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13,947
Unified common dtype discovery
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2
2016-08-09T12:10:33Z
2016-08-12T15:44:55Z
2016-08-12T15:44:54Z
CONTRIBUTOR
null
Common dtype discovery (like `np.find_common_type`) should be unified into an internal function, with proper handling of `pandas` dtypes. As of #13917, there are two such implementations: 1. `pandas/types/common.py:_lcd_dtypes`, which works on `numpy` dtypes only, but differently than `np.find_common_type`. 2. `pandas...
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13,948
Allow different comment characters in one file
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7
2016-08-09T13:52:38Z
2021-07-08T19:22:40Z
null
NONE
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Unfortunately, I need to work with files containing both `#comments` and `!warnings` aside of useful numbers. Thus, it would be very convenient to load them (in pandas 0.17.1) using `df = pd.read_csv(inputfile, comment='#!')` however, this command now allows one comment-identifying character at most, so I need to par...
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13,949
ENH: Improve error message for repeated Stata categories
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2
2016-08-09T13:55:44Z
2016-08-10T22:37:58Z
2016-08-10T22:37:45Z
CONTRIBUTOR
null
- [x] closes #13923 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Improve the error message to be more explicit when attempting to read Stata files containing repeated categories. closes #13923
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DOC: more documentation that pandas by-default aligns when setting
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2
2016-08-09T14:05:39Z
2021-08-23T04:03:20Z
null
CONTRIBUTOR
null
Hi, I'm not sure this is a bug but the behaviour is far from intuitive. I'm trying to assign the values of a slice of a `DataFrame` into another slice (of same size) of the same `DataFrame`. ``` In [1]: import pandas as pd In [2]: import numpy as np In [3]: a = pd.DataFrame({"a": [1, 2, 3, 4, 5], "b": [6, 7, 8, 9, 10...
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DOC: NDFrame.to_hdf(data_columns) documented (#13061).
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2016-08-09T17:03:01Z
2016-08-19T10:50:01Z
2016-08-19T10:49:54Z
CONTRIBUTOR
null
- [x] closes #13061 - [ ] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry I'm aware there's another PR for the same issue, but it hasn't had activity in a while so this is my attempt. I took the opportunity to remove the unusable "mode=r" option from the same docstrin...
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13,952
DataFrame sum method for all NAs does not return NA
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1
2016-08-09T19:53:00Z
2016-08-09T20:03:18Z
2016-08-09T20:02:58Z
NONE
null
Output of code: `pd.DataFrame([[np.NaN, np.NaN], [np.NaN, np.NaN]]).sum(skipna=True)` is: ``` 0 0.0 1 0.0 dtype: float64 ``` What in my opinion contradicts what is written in documentation (and what by the way is more intuitve outcome): > Exclude NA/null values. If an entire row/column is NA, the result will ...
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13,953
DOC: add whatsnew for #11920
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2016-08-10T10:22:03Z
2016-08-10T12:27:14Z
2016-08-10T12:27:13Z
MEMBER
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#11920 (forgot to add to commit when merging)
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13,954
DOC: remove rplot seaborn equivalent example figures
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2016-08-10T10:47:29Z
2016-08-10T14:16:10Z
2016-08-10T14:16:10Z
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170,394,225
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13,955
CLN: Period cleanup related to array like meth
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2
2016-08-10T11:26:06Z
2016-08-10T22:12:48Z
2016-08-10T22:12:48Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` removed unused / duplicated internal method returning array-likes. Also added some tests to guarantee existing API before fixing its dtype (see #13941).
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170,409,666
MDU6SXNzdWUxNzA0MDk2NjY=
13,956
tz_localize, conversion from dst-affected timezone on sorted index
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8
2016-08-10T12:53:51Z
2019-07-01T16:42:52Z
2019-07-01T16:42:52Z
NONE
null
Polish government provides [data on power demand](http://www.pse.pl/index.php?dzid=78) with local timestamps. DST switches are unfortunately not accounted for, so some timestamps are duplicated. Thankfully, the differences aren't big to matter in some applications, but it seems the way these timestamps are provided in ...
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13,957
DataFrame.update() changes type of boolean column to Object.
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2016-08-10T13:06:14Z
2016-08-10T22:16:41Z
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After applying DataFrame.update() on a DataFrame that has boolean column the type of that column changes to Object and filtering stops working as negate operator (~) produces '-1' series instead of 'True'. #### Code Sample, a copy-pastable example if possible ``` python df = pd.DataFrame({'a': [1, 2, 3], 'b': ['notset...
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13,958
newey west weight is always 0
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2016-08-10T14:47:06Z
2016-08-10T22:42:19Z
2016-08-10T18:27:35Z
NONE
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In the `newey_west` function in `pandas.stats.math`, the weight variable is always gonna be 0, since max_lags and lag are both integers and lag < max_lags+1. So the newey-west lag has no effect on the Xeps. Is that right? ``` Xeps = np.dot(m.T, m) for lag in range(1, max_lags + 1): auto_cov = np.dot(m[...
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13,959
kdb-like window join for pandas
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2016-08-10T20:54:04Z
2021-05-01T23:13:47Z
null
CONTRIBUTOR
null
I would like a time-based aggregating function that also acts as a join: http://code.kx.com/wiki/Reference/wj In pandas, this might look something like: ``` ms = pd.Timedelta(1, 'ms') merge_window(df1, df2, on='time', by='ticker', time_range=(-100*ms, 100*ms), how=(np.sum, 'volume')) ``` This would compute the tota...
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13,960
BLD: add tempita files to depends
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2016-08-10T23:58:16Z
2016-08-11T10:13:53Z
2016-08-11T10:13:49Z
CONTRIBUTOR
null
This change makes it so that if a `.pxi.in` file is modified, the appropriate module will be rebuilt.
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13,961
API: Expanded resample
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2016-08-11T00:52:53Z
2016-08-31T13:14:30Z
2016-08-31T13:13:55Z
CONTRIBUTOR
null
- [x] closes #13500 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry My only question here is if `on=` is the keyword name for picking a column - in a `TimeGrouper` that's called `key`. But `on` is what was used in the rolling selection (and elsewhere) so seems c...
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13,962
TST: fail test suite on ResourceWarnings
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2016-08-11T10:40:52Z
2018-09-18T16:52:01Z
2018-09-18T16:52:01Z
CONTRIBUTOR
null
see comments [here](https://github.com/pydata/pandas/pull/13940#issuecomment-239126585) should just require a setting in `pandas.util.testing.TestCase.setUpClass` to set when the suite is running.
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Feature request: pandas.DataFrame.setdefault()
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2016-08-11T13:32:10Z
2021-05-01T23:14:10Z
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We often find ourselves checking for column existence before assigning a value to it, e.g.: ``` python df = pd.DataFrame() col = 'ColumnA' val = 'Value1' if col not in df.columns: df[col] = val ``` And we were thinking it would be nice if there was a way to tell pandas: add this column with that value(s) but only...
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170,663,726
MDU6SXNzdWUxNzA2NjM3MjY=
13,964
Pandas 0.18.1 groupby and resample with multilevel aggregation error
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4
2016-08-11T14:45:51Z
2020-01-20T07:34:12Z
2020-01-20T07:34:11Z
NONE
null
Initially posted here: http://stackoverflow.com/questions/38861244/pandas-0-18-1-groupby-and-resample-with-multilevel-aggregation-error From the documentation at the below links, both df3_resample and df4_resample should return the same dataframe, however df4_resample throws an exception. http://pandas.pydata.org/pa...
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170,679,944
MDU6SXNzdWUxNzA2Nzk5NDQ=
13,965
Exact matches in time-based .rolling()
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9
2016-08-11T15:50:49Z
2017-04-13T11:39:15Z
2017-04-13T11:39:14Z
CONTRIBUTOR
null
I would like to `allow_exact_matches` in time-based `.rolling()`. Using an example similar to the one found in the documentation: ``` df = pd.DataFrame({'B': [1, 1, 2, np.nan, 4]}, index = [pd.Timestamp('20130101 09:00:00'), pd.Timestamp('20130101 09:00:02'), ...
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170,700,095
MDU6SXNzdWUxNzA3MDAwOTU=
13,966
Time-based .rolling() fails with .groupby()
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19
2016-08-11T17:26:11Z
2021-02-08T20:53:19Z
2017-04-22T01:28:28Z
CONTRIBUTOR
null
Starting with [this example](http://pandas.pydata.org/pandas-docs/version/0.18.1/whatsnew.html#groupby-syntax-with-window-and-resample-operations): ``` df = pd.DataFrame({'A': [1] * 20 + [2] * 12 + [3] * 8, 'B': np.arange(40)}) ``` I can easily compute the rolling mean by identifier: ``` In [20]: ...
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170,717,120
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13,967
DOC: read_excel() documentation for na_values should show default na values
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3
2016-08-11T18:45:43Z
2016-08-20T13:25:01Z
2016-08-20T13:25:01Z
NONE
null
I'd like to see read_excel show the same valid information for na_values as read_csv does. This ended up taking a lot of digging to find because it was unclear what the defaults were with read_excel(). #### read_csv() documentation shows the following for na_values na_values : str or list-like or dict, default None Ad...
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170,725,669
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13,968
ENH: allow exact matches in time-based .rolling()
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53
2016-08-11T19:25:51Z
2017-03-23T22:38:29Z
2017-03-23T22:38:28Z
CONTRIBUTOR
null
- [x] closes #13965 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry TODO: update docs.
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170,730,455
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13,969
Handling a CustomBusinessDay in time-based .rolling()
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6
2016-08-11T19:49:40Z
2020-10-05T00:19:16Z
2020-10-05T00:19:15Z
CONTRIBUTOR
null
Starting with 10 business days following Christmas Eve: ``` from pandas.tseries.offsets import CustomBusinessDay from pandas.tseries.holiday import USFederalHolidayCalendar days = CustomBusinessDay(calendar=USFederalHolidayCalendar()) df = pd.DataFrame({'value': np.arange(n)}, index=pd.date_range('...
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170,751,263
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13,970
BUG/DEPR: combine dtype fixes
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8
2016-08-11T21:25:52Z
2016-08-12T15:45:02Z
2016-08-12T15:44:55Z
MEMBER
null
- [x] closes #7630, closes #10567 (fix `combine_first` dtype) - [x] closes #13947 (`_find_common_type` to support extension types) - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry - `_find_common_type` also needs to handle numpy datetimelike to be compat with panda...
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170,757,802
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13,971
BUG: unstack(fill_value) does nothing when unstacking multiple columns
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2
2016-08-11T22:00:56Z
2017-10-16T14:25:24Z
2017-10-16T14:25:24Z
CONTRIBUTOR
null
In #9746 we got a `fill_value` argument for `pd.unstack()`. But it does nothing if we unstack multiple levels at once: ``` df = pd.DataFrame({'x':['a', 'a', 'b'], 'y':['j', 'k', 'j'], 'z':[0, 1, 2], 'w':[0, 1, 2]}) df.set_index(['x', 'y', 'z']).unstack(['x', 'y'], fill_value=0) ``` That gives: ``` w ...
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170,778,117
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13,972
PERF/COMPAT: define platform int to np.intp
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10
2016-08-12T00:42:13Z
2016-08-17T10:21:40Z
2016-08-17T10:21:24Z
CONTRIBUTOR
null
AFAIK this only affects 64 bit python on Windows. `numpy` wants an `np.intp` (i8 on Windows) as a indexer for `take`, but pandas defines a "platform int" as a `np.int_` (i4 on Windows). This hits performance twice, because we often start with i8, cast to i4, then numpy will cast back to i8 in its `take`. This is an ...
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170,798,180
MDU6SXNzdWUxNzA3OTgxODA=
13,973
df.sort_values by 2 columns does not work in py3.5.1 but work in py2?
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4
2016-08-12T04:44:36Z
2018-02-13T14:09:50Z
2018-02-13T12:01:21Z
NONE
null
#### Code Sample, a copy-pastable example if possible ![image](https://cloud.githubusercontent.com/assets/5859702/17612924/3376d120-608a-11e6-8066-f4e0160c1518.png) The code above works in py2 but not works in py3. #### Expected Output should get sorted dataframe. #### output of `pd.show_versions()` 0.18.0
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13,974
Is it normal that iloc is very slow when iterating?
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1
2016-08-12T09:45:24Z
2016-08-12T13:54:44Z
2016-08-12T12:01:10Z
NONE
null
I'm honestly not sure if that is to be expected or if it's a general issue. It is a problem when doing row comparisons that can't be done with existing row-wise methods like diff. #### Consider this example showing three functions doing row-wise differences on a randomly generated dataframe: ``` import pandas as pd im...
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13,975
CLN: PeriodIndex to use nan related cache
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2016-08-12T10:16:44Z
2016-08-12T13:18:22Z
2016-08-12T12:59:52Z
MEMBER
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- [x] no tests added (all cases look to be covered) / passed - [x] passes `git diff upstream/master | flake8 --diff`
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13,976
BUG: Kernel crashing when using shift with groupby when there are NaNs in group column
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4
2016-08-12T17:49:21Z
2017-03-23T19:40:13Z
2016-08-12T18:16:42Z
NONE
null
Sometimes when shifting a variable by groups, if there are NaNs in the group column, it crashes my kernel. Sometimes the operation completes successfully, though it crashes over half the time. #### Code Sample, a copy-pastable example if possible ``` from numpy import nan import pandas as pd from pandas import Timesta...
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13,977
df.iterrows() constructs Series instead of its proper subclass
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2016-08-12T18:54:42Z
2016-08-26T20:04:20Z
2016-08-26T20:04:20Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ``` py import pandas as pd import numpy as np class SubclassedSeries(pd.Series): pass class SubclassedDataFrame(pd.DataFrame): _constructor_sliced = SubclassedSeries df = SubclassedDataFrame(np.random.random((3, 2)) i, row = next(df.iterrows()) asser...
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13,978
BUG: yield correct Series subclass in df.iterrows() (#13977)
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2016-08-12T19:00:44Z
2016-08-26T20:04:20Z
2016-08-26T20:04:20Z
CONTRIBUTOR
null
- [x] closes #13977 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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13,979
API: change unique to return Index
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9
2016-08-13T01:39:54Z
2016-08-29T12:29:13Z
2016-08-29T12:29:04Z
MEMBER
null
- [x] closes #13395, closes #13565 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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BUG: ufunc with PeriodIndex may raise IncompatibleFrequency
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2016-08-13T01:49:45Z
2016-08-18T22:27:51Z
2016-08-18T22:27:43Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry `PeriodIndex` supportds addition / subtraction with integer. ``` # OK pi = pd.PeriodIndex(['2011-01'], freq='M') pi + 1 # PeriodIndex(['2011-02'], dtype='int64', freq='M') pi - 1 # PeriodIndex(['2010-12'], dtype='i...
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BUG: Index may ignore specified datetime/timedelta dtypes
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2016-08-13T02:18:54Z
2016-08-15T16:06:57Z
2016-08-13T22:34:12Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry `Index` ignores specified `dtype` if it is `datetime64` (normal and tz) or `timedelta64`. This PR makes it consistent with `DatetimeIndex` and `TimedeltaIndex`. ``` pd.Index([1, 2, 3], dtype='datetime64[ns, US/East...
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13,982
TST: Cleanup test_indexing
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2016-08-13T05:00:19Z
2016-08-13T22:08:31Z
2016-08-13T22:08:18Z
MEMBER
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- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` cleaned up `test_indexing` which is bit large, splitting `@slow` tests to a separate file.
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13,983
CLN: Datetimelike._can_hold_na
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2016-08-13T09:20:07Z
2016-09-01T07:27:44Z
2016-09-01T07:27:38Z
MEMBER
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- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] no whatsnew, as it is internal fix datetimelike `Index._can_hold_na` is all `False` even though these can store `NaT`. ``` idx = pd.DatetimeIndex(['2011-01-01', 'NaT']) idx.hasnans # True idx._can_hold_na # False idx._nan_idxs ...
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171,001,117
MDU6SXNzdWUxNzEwMDExMTc=
13,984
API: Add Series/Index.unique(dropna=True)
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2016-08-13T09:23:29Z
2021-05-01T23:14:34Z
null
MEMBER
null
`Series/Index.nunique` has `dropna` kw to exclude `NaN`. Add the same kw to `.unique` also. As #13979 changes `.unique` to always return `Index`, we can replace `Index._get_unique_index(dropna)` if this option is added.
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13,985
BUG: Sparse indexing with bool sparse may be incorrect
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2016-08-13T09:29:32Z
2016-08-13T22:13:40Z
2016-08-13T22:13:38Z
MEMBER
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- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry indexing with `SparseArray` with `bool` dtype may return incorrect result because of some internal conversions. ``` arr = pd.SparseArray([1, 2, 3]) indexer = pd.SparseArray([True, False, True], fill_value=False, dt...
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13,986
BUG/CLN: datetimelike Index.equals may return True with non-Index
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2016-08-13T10:02:03Z
2016-09-03T15:31:07Z
2016-09-03T15:31:03Z
MEMBER
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- [x] closes #13107 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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13,987
CLN: move PeriodIndex.__getitem__ to DatetimeIndexOpsMixin
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2016-08-13T11:27:25Z
2016-08-18T22:25:40Z
2016-08-18T22:25:37Z
MEMBER
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- [x] related to #6469 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` merge `PeriodIndex.__getitem__` to `DatetimeIndexOpsMixin`
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13,988
API: PeriodIndex.values now return array of Period objects
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2016-08-13T12:51:59Z
2016-08-24T23:36:04Z
2016-08-24T23:36:02Z
MEMBER
null
- [x] split from #13941 (comment) - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry This change itself needs more tests / perf testing, split from the original PR.
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DOC: suppress warnings for Panel4D deprecation
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2016-08-13T13:29:36Z
2016-08-13T20:14:09Z
2016-08-13T20:14:08Z
MEMBER
null
Other options is to just remove those sections in the latest docs ... (they are always available in the older ones). The example in the HDF5 docs with a legacy file will have to be updated to not include Panel4D, or the reading of such files will have to be adapted in the future to handle those when Panel4D is actuall...
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Use DeprecationWarning for core.common deprecations (GH13634)
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2016-08-13T13:30:16Z
2016-08-13T22:28:26Z
2016-08-13T22:22:28Z
MEMBER
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Related to second question in #13634 (whether to use FutureWarning or DeprecationWarning in deprecating the public pandas.core.common functions). As those functions are mostly used in library code, and less directly by users in their own code, I think a DeprecationWarning is more appropriate in this case. For example...
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2016-08-13T13:57:52Z
2016-10-03T08:51:55Z
2016-10-03T08:51:55Z
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Issue to track the progress towards the 0.19.0 release. cc @jreback @shoyer @sinhrks @TomAugspurger @wesm
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13,992
SeriesGroupby.cumsum raises on object dtype
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2016-08-13T17:50:13Z
2021-05-01T23:15:15Z
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CONTRIBUTOR
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``` import pandas as pd s = pd.Series(list('ABCDEF')) grouper = pd.Series([0]*3+[1]*3) ``` The obvious attempt to obtain ``` 0 A 1 AB 2 ABC 3 D 4 DE 5 DEF dtype: object ``` using ``` s.groupby(grouper).cumsum() ``` raises a `DataError: No numeric types to aggregate`. A workaround is availa...
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13,993
groupby cumsum with axis=1 computes cumprod
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2016-08-13T18:36:50Z
2016-08-14T00:15:47Z
2016-08-14T00:15:47Z
CONTRIBUTOR
null
#### Code sample ``` python import pandas as pd df = pd.DataFrame({'A': range(6), 'B': range(6)}) df.groupby('A').cumsum(axis=1) ``` #### Output ``` A B 0 0 0 1 1 1 2 2 4 3 3 9 4 4 16 5 5 25 ``` #### Expected Output ``` A B 0 0 0 1 1 2 2 2 4 3 3 6 4 4 8 5 5 10 ``` #### The...
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BUG: groupby cumsum with axis=1 computes cumprod
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2016-08-13T21:35:11Z
2016-08-14T00:15:50Z
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CONTRIBUTOR
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- [x] closes #13993 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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CLN: Move PeriodIndex.repeat to DatetimeIndexOpsMixin
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2016-08-13T21:49:47Z
2016-08-14T00:10:54Z
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- [x] related to #6469 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff`
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TST: Fix unused tests in tseries/test_base.py
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2016-08-13T21:51:40Z
2016-08-14T00:12:21Z
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MEMBER
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- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - enabled unused patterns left as comments - made `tz` related tests more comprehensive
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2016-08-13T21:54:19Z
2016-08-15T12:29:13Z
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MEMBER
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- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` Because `PeriodIndex` now shares the same `NaT` repr (#13609), can use the same definition on `DatetimeIndexOpsMixin`
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Fixed to_string with line_width and without index
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2016-08-14T04:02:31Z
2016-08-15T17:53:50Z
2016-08-15T17:53:24Z
CONTRIBUTOR
null
When calling to_string on a DataFrame with line_width, this calls _join_multiline internally which only sets the idx variable when index is True, otherwise idx is never set resulting in the error: UnboundLocalError: local variable 'idx' referenced before assignment
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2016-08-14T13:38:35Z
2016-08-20T13:32:42Z
2016-08-20T13:32:42Z
MEMBER
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- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry Because #13985 has been fixed, `SparseSeries` comparison op now can return `SparseSeries` (it returns normal `Series` on current master). also fixed a bug when `SparseArray` created from `SparseSeries` may not inh...
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ENH: bool sparse now supports logical op
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2016-08-14T13:43:22Z
2016-08-16T09:57:03Z
2016-08-16T09:56:41Z
MEMBER
null
- [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry implemented bool (logical and / or) op for bool `SparseArray`. Currently it raises if `sp_index` are different. ``` s1 = pd.SparseArray([True, True, True, True, True], dtype=np.bool, fill_value=False) s2 = pd.Spars...
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14,001
BUG/API: Data assignment dtype inference inconsistencies
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2016-08-14T23:54:18Z
2017-07-21T11:05:20Z
2017-07-21T11:05:20Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible Assuming we have int `DataFrame` and assign float values. - assigning 2-d float array keeps `int` columns if possible. ``` df = pd.DataFrame(np.zeros((3, 2), dtype=np.int64)) df.iloc[0:2, 0:2] = np.array([[1, 2.1], [2, 2.2]], dtype=np.float64) df # 0 1 #0 1...
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14,002
GH13347 ENH Allow true_values and false_values options in read_excel
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2016-08-15T00:47:17Z
2017-12-12T15:39:45Z
2016-09-13T23:07:26Z
MEMBER
null
- [ X] closes #13347 - [ X] tests added / passed - [ X] passes `git diff upstream/master | flake8 --diff` - [ X] whatsnew entry <img width="1016" alt="asv_tests" src="https://cloud.githubusercontent.com/assets/609873/17653246/3a3f842a-6260-11e6-8ed2-1d21cc2fccc8.png">
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14,003
DOC: doc/make.py uses IPython promptManager, which is removed from IPython 5.x
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1
2016-08-15T06:25:54Z
2016-08-18T20:50:14Z
2016-08-18T20:50:14Z
CONTRIBUTOR
null
When I build document as described in contributing guideline below, http://pandas-docs.github.io/pandas-docs-travis/contributing.html#building-the-documentation it makes an error like this. ``` AttributeError: "'InteractiveShell' object has no attribute 'prompt_manager'" ``` This file uses removed class, from IPytho...
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DOC: fixed using IP.prompt_manager which is removed from IPython 5.x
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2016-08-15T08:03:05Z
2016-08-18T20:50:26Z
2016-08-18T20:50:14Z
CONTRIBUTOR
null
- [x] closes #14003, #13639 - [ ] tests added / passed (there's no test on building docs) - [x] passes `git diff upstream/master | flake8 --diff` - [ ] whatsnew entry (it's not user facing bug fix) this PR was made during PyCon APAC, pandas sprint thanks
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BUG: No affect both index and column(GH 13522)
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2016-08-15T15:40:29Z
2016-08-17T22:04:03Z
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CONTRIBUTOR
null
- [x] closes #13522 - [x] tests added / passed - [x] passes `git diff upstream/master | flake8 --diff` - [x] whatsnew entry
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14,006
BUG: Avoid sentinel-infinity comparison problems (#13445)
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2016-08-16T01:59:10Z
2016-08-16T10:32:47Z
2016-08-16T10:15:30Z
CONTRIBUTOR
null
The problem causing #13445 ultimately traces to the fact that our Infinity/NegInfinity objects were greater than/less than themselves, which violates an assumption numpy makes when sorting. This was separately reported as https://github.com/numpy/numpy/issues/7934, but we can fix and test downstream as well. - [X] clo...
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14,007
DEPR: Deprecate SparseList
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2016-08-16T02:24:36Z
2016-08-16T09:57:42Z
2016-08-16T09:57:38Z
MEMBER
null
Title is self-explanatory. Closes #13784.
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