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21,412
BUG: Categorical.__setitem__ allows for tuple assignment
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2018-06-10T19:16:09Z
2018-07-16T22:48:17Z
2018-07-16T22:48:17Z
CONTRIBUTOR
null
- [x] closes #20439 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry Pretty straightforward fix in the `__setitem__` method While I was looking into this, I discovered a bug that does not allow for the creation of mixed-dtype Categoricals, if...
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21,413
add dropna=False to crosstab example
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2018-06-10T20:03:30Z
2018-06-12T11:50:42Z
2018-06-12T11:31:11Z
CONTRIBUTOR
null
``` >>> foo = pd.Categorical(['a', 'b'], categories=['a', 'b', 'c']) >>> bar = pd.Categorical(['d', 'e'], categories=['d', 'e', 'f']) >>> crosstab(foo, bar) # 'c' and 'f' are not represented in the data, ... # but they still will be counted in the output col_0 d e f row_0 a 1 0 ...
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2018-06-10T20:03:53Z
2018-06-11T22:43:09Z
2018-06-11T11:28:55Z
CONTRIBUTOR
null
Minor doc fixes - make casing consistent and tense
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2018-06-10T21:45:11Z
2018-06-24T22:28:33Z
2018-06-12T11:28:38Z
CONTRIBUTOR
null
Closes <#21308> Note : Defined Levels section was added in the "Notes" section opposed to "See Also". Description of "See Also" section [here](https://numpydoc.readthedocs.io/en/latest/format.html), suggests it should really link to other functions etc.
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BUG: Cannot create Categorial of mixed dtypes/tuples if first element is not a tuple
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2018-06-11T01:48:40Z
2019-10-06T22:02:43Z
2019-10-06T22:02:43Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible It's possible to create a Categorical of mixed dtypes, with at least one tuple, if the first element is a tuple. ```console s = pd.Categorical([('a', 'a'), ('a', 'b'), ('b', 'a'), 'c']) s Out[21]: [(a, a), (a, b), (b, a), c] Categories (4, object): [(a,...
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Additional calls to function when using GroupBy.apply with multiple index
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame([[1, 2, 3], [2, 2, 3]], columns=['a', 'b', 'c']) def t(df): print(df) print('-' * 10) return None g = df.groupby(by=['a', 'b']) g.apply(t) print(g.groups) g.apply(lambda x:print(x.index)) ``...
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Resample function wrong interpolation
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd from datetime import datetime import pytz import numpy as np import matplotlib.pyplot as plt def convert_2_datetime(timestamp, timezoneid): """ :param timestamp: UTC format in milliseconds (data.index.values) ...
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21,419
Group by column which contains None
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd df = pd.DataFrame([[None, 1], [None, 1]], columns=['a', 'b']) grouped = df.groupby('a') print(len(grouped.groups)) print(grouped.groups) df = pd.DataFrame([[None, 1], [1, 1]], columns=['a', 'b']) grouped = df.groupby('a') pri...
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Cannot select rows based on value in column
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2018-06-11T11:05:40Z
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#### Code Sample <img width="1024" alt="screen shot 2018-06-11 at 1 45 11 pm" src="https://user-images.githubusercontent.com/29179747/41220253-692300a2-6d7e-11e8-9848-c59e5ff4aa31.png"> ```python Running df.loc[df.Days > 75, :] ``` #### Problem description Returns ValueError: Cannot index with multidimens...
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DOC: fix grammar of deprecation message
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2018-06-11T12:42:58Z
2018-06-11T15:19:23Z
2018-06-11T15:14:48Z
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21,422
to_datetime function not working with %Y.%m.%d %H format
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13
2018-06-11T13:32:18Z
2020-07-31T14:33:45Z
null
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python import pandas as pd import datetime as dt print(dt.datetime.strptime('2012.01.01 1', '%Y.%m.%d %H')) # -> 2012-01-01 01:00:00 print(pd.to_datetime('2012.01.01 1', format='%Y.%m.%d %H')) # -> ValueError: time data '2012.01.01 1' doesn't match for...
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21,423
API: re-allow duplicate index level names
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9
2018-06-11T14:18:25Z
2018-07-02T15:43:56Z
2018-06-29T00:39:46Z
MEMBER
null
One possible solution for https://github.com/pandas-dev/pandas/issues/19029 WIP (need to clean up tests and possibly re-add some ones that have been removed in https://github.com/pandas-dev/pandas/pull/18882)
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21,424
'where' fails for single str index when reading DataFrame from an HDF file; 'in set' does not work in 'where'
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3
2018-06-11T14:49:20Z
2018-06-13T16:17:28Z
2018-06-11T23:55:54Z
NONE
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#### Copy-pastable examples: ```python import pandas as pd fileName = 'temp/df.h5' #### Example 1 t = pd.DataFrame(data={'k':['A','B','C'], 'x':[ 1., 2., 3.]}) t.set_index(['k'], inplace=True) t.sort_index(inplace=True) t.to_hdf(fileName, 't', format='table') t2 = pd.read_hdf(...
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21,425
BUG: DataFrame.pivot fails on multiple columns to set as index
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2018-06-11T15:26:44Z
2020-02-09T21:57:29Z
2020-02-09T21:57:29Z
MEMBER
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I am not sure anymore if `DataFrame.pivot` actually supports multiple columns to set as `index`/`columns` (it should), but in any case this error is very confusing: ``` In [1]: df = pd.DataFrame({'lev1': [1, 1, 1, 1,2, 2, 2,2], 'lev2': [1, 1, 2, 2, 1, 1, 2, 2], 'lev3': [1, 2, 1, 2, 1, 2, 1, 2], 'values': range(8)})...
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21,426
BUG: .nlargest with unsigned integers
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2018-06-11T15:41:31Z
2018-06-15T17:21:37Z
2018-06-15T17:21:37Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python pd.Series(np.array([0, 0, 0, 100, 1000, 10000, 100], dtype='uint32')).nlargest(5) 0 0 1 0 2 0 5 10000 4 1000 ``` #### Problem description `nlargest` favours `0` above positive values. Common to both `uint32` and `...
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21,427
disallow normalize=True with Tick classes
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2018-06-11T17:53:10Z
2018-06-22T03:27:57Z
2018-06-14T10:18:24Z
MEMBER
null
The problem: allowing `Tick` objects with `normalize=True` causes addition to lose monotonicity/associativity ``` ts = pd.Timestamp.now() tick = pd.offsets.Minute(n=4, normalize=True) >>> ts Timestamp('2018-06-11 10:50:14.419655') >>> ts + tick Timestamp('2018-06-11 00:00:00') ``` - [x] closes #21434 - [x...
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21,428
DataFrame[np.nan] raises TypeError with non-unique columns
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2018-06-11T18:50:24Z
2018-07-07T14:24:57Z
2018-07-07T14:24:57Z
MEMBER
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#### Code Sample, a copy-pastable example if possible ```python In [2]: pd.DataFrame(index=range(3), columns=[1, 2, float('nan'), 2])[float('nan')] --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-inpu...
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21,429
Reindex docs question / clarification
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2018-06-11T18:50:32Z
2021-06-20T04:39:49Z
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From the bottom of the reindex docs [here](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.reindex.html); relevant docs source [here](https://github.com/pandas-dev/pandas/blob/9d61ab5aae0dd4ca3f805275c6a8ebcaeef77d64/pandas/core/generic.py#L3605): >The index entries that did not have a value i...
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Unexpected Results with Integer Arithmetic
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2018-06-11T19:25:44Z
2018-06-11T21:06:49Z
2018-06-11T21:06:49Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python import pandas as pd import numpy as np df = pd.DataFrame({'x': range(7)}, dtype = np.uint8) df['y'] = 50706 + 9993 * (df.x - 3) df['yTrue'] = 50706 + 9993 * (df.x - 3.) print(df) print(f'dtype of y is {df.y.dtype}') ``` #### Problem descripti...
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331,371,920
MDExOlB1bGxSZXF1ZXN0MTk0MTE5ODM2
21,431
BUG: Nrows cannot be zero for read_csv. Fixes #21141
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15
2018-06-11T22:24:38Z
2018-06-13T00:49:17Z
2018-06-12T23:02:36Z
NONE
null
- [x] closes #21141 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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MDExOlB1bGxSZXF1ZXN0MTk0MTMwOTE4
21,432
BUG: Fix Series.nlargest for integer boundary values
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2018-06-11T23:37:11Z
2018-06-29T14:50:52Z
2018-06-15T17:21:37Z
MEMBER
null
- [X] closes #21426 - [X] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [X] whatsnew entry Also added some similar tests for float and datetimelike dtypes to ensure that the behavior is as desired.
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331,390,379
MDExOlB1bGxSZXF1ZXN0MTk0MTMzNDY4
21,433
DOC: Add 0.23.2 whatsnew template
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1
2018-06-11T23:56:19Z
2018-06-29T14:45:57Z
2018-06-12T00:15:30Z
MEMBER
null
Title is self-explanatory. Copied (almost) directly from #21001.
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331,398,065
MDU6SXNzdWUzMzEzOTgwNjU=
21,434
Tick with normalize=True should be disallowed
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2018-06-12T00:44:37Z
2018-06-26T08:17:13Z
2018-06-14T10:18:24Z
MEMBER
null
See #21427 The issue is that a (non-`Day`) `Tick` object with `normalize=True` breaks addition monotonicity/associativity: ``` now = pd.Timestamp.now() tick = pd.offsets.Minute(n=3, normalize=True) >>> now Timestamp('2018-06-11 17:38:10.135400') >>> now + tick Timestamp('2018-06-11 00:00:00') >>> now ...
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21,435
DOC: follow 0.23.1 template for 0.23.2 whatsnew
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2018-06-12T07:45:09Z
2018-06-29T14:46:19Z
2018-06-12T07:54:12Z
MEMBER
null
xref https://github.com/pandas-dev/pandas/pull/21433 (@gfyoung we changed some things since the v0.23.1.txt file was added)
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331,478,286
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21,436
pip install fails on ppc64le
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1
2018-06-12T07:59:22Z
2018-06-26T15:02:18Z
2018-06-26T15:02:18Z
NONE
null
Installing pandas using `pip install pandas` fails on architecture ppc64le. ``` $> pip install pandas --user Collecting pandas Using cached https://files.pythonhosted.org/packages/45/12/1e1ba99fb65df9f7f3724d3232feef35cc044d18604d57492d561e90219f/pandas-0.23.0.tar.gz Collecting python-dateutil>=2.5.0 (from pan...
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21,437
`.diff(axis=1)` gives `NaNs` with different types.
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3
2018-06-12T08:01:18Z
2020-09-28T17:42:00Z
2020-09-28T17:41:59Z
NONE
null
```python df = pd.DataFrame({'a': np.arange(3, dtype='float32'), 'b': np.arange(3, dtype='float64')}) df.diff(axis=1) a b 0 NaN NaN 1 NaN NaN 2 NaN NaN df = pd.DataFrame({'a': np.arange(3, dtype='int32'), 'b': np.arange(3, dtype='int64')}) df.diff(axis=1) a b 0 NaN NaN 1 NaN NaN 2 NaN NaN ``` ####...
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331,502,954
MDExOlB1bGxSZXF1ZXN0MTk0MjE0MzEy
21,438
Fix flake8 in conf.py
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2018-06-12T09:12:50Z
2018-06-12T09:15:17Z
2018-06-12T09:15:13Z
MEMBER
null
Sorry, I missed this in the PR of @datapythonista (for some reason travis was not run there)
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MDU6SXNzdWUzMzE1MTQ1NjM=
21,439
Grouping by Categorical columns results in undesirable shape
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2018-06-12T09:45:13Z
2018-06-12T15:20:21Z
2018-06-12T15:20:20Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here df = pd.DataFrame([['A1', 'B1', 0, 3], ['A1', 'B1', 1, 2], ['A2', 'B1', 2, 6], ['A2', 'B1', 3, 9], ['A2', 'B1', 4, 2] ], columns=['A', ...
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DOC: Add favicon to doc pages
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2
2018-06-12T14:20:38Z
2018-06-13T07:58:37Z
2018-06-13T07:57:30Z
CONTRIBUTOR
null
This is a suggestion for adding a favicon to the doc pages. Having a favicon makes the pandas browser tabs easier to locate, especially with many open tabs or many pinned tabs. I used the image from the pandas-dev GitHub organization, cropped some of the bars to make it appear less cluttered in the small favicon for...
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331,612,777
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21,441
first_valid_index fails when dataframe has non-unique row index
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1
2018-06-12T14:28:29Z
2018-06-20T10:33:08Z
2018-06-20T10:33:08Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python In [2]: import pandas as pd In [3]: pd.__version__ Out[3]: '0.23.0rc2' In [4]: x = pd.DataFrame({'b': [1,2,3]}, index=[1,1,2]) In [5]: x Out[5]: b 1 1 1 2 2 3 In [6]: x.first_valid_index() -------------------------------------...
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21,442
0.23.1 backports 2
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2018-06-12T15:12:13Z
2018-06-12T16:30:42Z
2018-06-12T16:29:56Z
CONTRIBUTOR
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21,443
Merge with Categorical as join key + how='inner' returns wrong output
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2018-06-12T15:32:43Z
2018-06-12T19:20:41Z
2018-06-12T19:20:28Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python df = pd.DataFrame([['A', 1], ['B', 2], ['B', 3], ['A', 4]], columns=['Col1', 'Col2']) df['Col1'] = pd.Categorical(df.Col1) ``` ![df](https://i.imgur.com/3inugLQ.png) ```python pd.merg...
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21,444
Resolves Issue 21344: provide a timedelta in a non-string format
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2018-06-12T15:45:49Z
2018-11-23T03:29:45Z
2018-11-23T03:29:45Z
NONE
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- [x] closes #21344 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry This extends the API - and there is a judgement call about how to treat nanosecond-resolution pd.Timedelta() objects in the context of datetime.timedelta() objects.
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21,445
Setting types on DataFrame constructor not working, while setting them after construction does.
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2018-06-12T15:50:43Z
2018-06-18T16:22:07Z
2018-06-18T16:22:07Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python In [1]: import pandas as pd In [2]: pd.DataFrame(columns=['a', 'b'], dtype={'a': str, 'b': int}) --------------------------------------------------------------------------- TypeError Traceback (most recent call last...
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DOC: 0.23.1 release
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2018-06-12T16:42:40Z
2018-06-12T17:00:56Z
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21,447
perf improvements in tslibs.period
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2018-06-12T16:49:49Z
2018-06-22T03:27:54Z
2018-06-15T17:19:04Z
MEMBER
null
Removes an unnecessary call to `frequencies.to_offset`, one of the last few non-cython dependencies in the file. will post asv results when available.
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21,448
Index.get_indexer_non_unique misbehaves when passed a CategoricalIndex
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2018-06-12T17:54:40Z
2018-06-13T13:24:02Z
2018-06-13T13:24:02Z
MEMBER
null
#### Code Sample, a copy-pastable example if possible ```python In [2]: idx = pd.CategoricalIndex(['a', 'a', 'b', 'b', 'c', 'a'], categories=['c', 'a', 'b', 'e ...: '], dtype='category') In [3]: key = ['a', 'b'] In [4]: idx.get_indexer_non_unique(key) Out[4]: (array([0, 1, 5, 2, 3]), array([], dtype=int6...
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DOC: Fixed warning in doc build [ci skip]
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2018-06-12T18:03:10Z
2018-06-13T08:18:33Z
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[ci skip]
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21,450
Python -00 test is fragile to PATH
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3
2018-06-12T18:46:48Z
2018-06-13T10:25:59Z
2018-06-13T10:25:59Z
CONTRIBUTOR
null
https://github.com/pandas-dev/pandas/blob/ab668b0a56a9f2aee959bde787e9a0af4068d7a7/pandas/tests/test_downstream.py#L60 that assumes that first `python` on the PATH is the one running the tests, which it may not be (e.g. if doing `./venv/bin/python` We should replace `python` with something like `sys.executable`.
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21,451
PERF: Use ccalendar.get_days_in_month over tslib.monthrange
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2018-06-12T19:19:24Z
2018-06-13T14:43:49Z
2018-06-13T10:32:55Z
MEMBER
null
asv looks like a wash, probably to be expected since these calls make up such a small part of the methods they are used in. tslibs.resolution uses the stdlib calendar.monthrange instead of tslib.monthrange, so the perf bump should be bigger there.
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PERF: typing and cdefs for tslibs.resolution
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2018-06-12T19:28:29Z
2018-06-22T03:27:55Z
2018-06-14T10:12:02Z
MEMBER
null
Moving things lower-level will help improve performance (due in part to better Cython compilation).
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21,453
Fix tests fragile to PATH
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2018-06-12T20:40:42Z
2018-08-11T18:10:13Z
2018-06-13T10:25:59Z
CONTRIBUTOR
null
Closes #21450 Get path of current python interpreter running opposed to one on users path.
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21,454
pd.read_json converts large floats to inf
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2018-06-12T20:50:01Z
2021-06-20T04:44:56Z
null
NONE
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#### Code Sample, a copy-pastable example if possible ```python pd.DataFrame({'A': [np.finfo(np.float64).max]}).to_json(orient='table') '{"schema": {"fields":[{"name":"index","type":"integer"},{"name":"A","type":"number"}],"primaryKey":["index"],"pandas_version":"0.20.0"}, "data": [{"index":0,"A":1.797693135e+30...
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21,455
Potential version 23 upgrade bug with pd.to_sql on Windows 7?
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5
2018-06-13T01:22:47Z
2018-06-18T22:24:11Z
2018-06-18T22:24:10Z
NONE
null
Potential version 23 upgrade bug with pd.to_sql on Windows 7? #### Code Sample, a copy-pastable example if possible pd.to_sql('TEST_TABLE', con=con, if_exists = 'replace') worked fine but then failed immedietly after i upgraded to version 23. i downgraded to version 22, and now it works fine like a charm, but...
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21,456
API/BUG: Raise when int-dtype coercions fail
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2018-06-13T06:39:59Z
2020-12-20T17:34:52Z
2018-06-20T10:35:11Z
MEMBER
null
Related to the Index and Series constructors. Closes #15832. cc @ucals (since this is mostly based off what you did in #15859)
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21,457
BUG: fix get_indexer_non_unique with CategoricalIndex key
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2018-06-13T08:34:17Z
2018-06-29T14:48:15Z
2018-06-13T13:24:02Z
MEMBER
null
- [x] closes #21448 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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21,458
Using series.str with compiled regular expressions. Problem with is_re
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2018-06-13T10:22:27Z
2018-06-13T12:03:38Z
2018-06-13T11:28:24Z
NONE
null
I am using pandas 0.23.1 with python 3.6.4 ``` import pandas as pd import regex as re s = pd.Series(['foo', 'bar']) pat = re.compile('a') s.str.replace(pat, ' ') ``` Raises the error ``` --------------------------------------------------------------------------- TypeError Trac...
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21,459
DataFrame.resample week with DST
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2018-10-03T15:25:45Z
2018-10-03T15:25:45Z
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#### Code Sample ```python import pandas import pytz dataframe_1 = pandas.DataFrame(index=pandas.DatetimeIndex( ['2017-03-04 00:00', '2017-03-05 00:00', '2017-03-06 00:00', '2017-03-07 00:00', '2017-03-08 00:00'], tz=pytz.timezone('Europe/Amsterdam')), data=[11, 12, 13, 14, 15]) resampled_1 = da...
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21,460
How to replicate a pivot_table WITHOUT using a pivot table
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2018-06-13T12:18:37Z
2018-06-13T12:44:03Z
2018-06-13T12:38:44Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python # Your code here idx = [np.nan, 'low', 'high', 'low', np.nan] col = [np.nan, 'A', 'B', np.nan, 'A'] df = pd.DataFrame({ ...
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21,461
Issue with head() on custom dtype
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2018-06-13T13:25:38Z
2018-06-18T12:37:13Z
2018-06-13T20:12:19Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python class NumPyBackedExtensionArrayMixin(ExtensionArray): """ Geo-Specific Extension Array Mixin """ @property def dtype(self): """The dtype for this extension array, GeoType""" return self._dtype @classmet...
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Removing an un-needed conditional in np_datetime_strings.c
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2018-06-13T14:16:25Z
2018-11-23T03:26:42Z
2018-11-23T03:26:42Z
CONTRIBUTOR
null
- [x] closes #21422 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry PS: I was not able to build this properly on my setup, so would wait for the test builds to run. Also, in which version should I put a whatsnew entry in?
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Resample function documentation does not explain 'how' argument
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2018-06-13T14:20:00Z
2018-06-13T18:07:42Z
2018-06-13T18:07:41Z
NONE
null
Current documentation for resample function does not document 'how' argument: [Resample documentation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.resample.html) Previous versions of Pandas did document this argument: [Old resample documentation](https://pandas.pydata.org/pandas-doc...
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set_index fails on enum
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2018-06-13T15:14:45Z
2018-06-13T16:01:12Z
2018-06-13T16:01:02Z
CONTRIBUTOR
null
#### Code Sample Create an Enum as described in the [Python docs](https://docs.python.org/3/library/enum.html), then create a dataframe and try to set multiindex: ```python from enum import Enum import pandas as pd class Method(Enum): LINEAR = 1 CONSTANT= 2 df = pd.DataFrame(data={"a":[Metho...
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DOC : Update generic.py
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2018-06-13T18:07:59Z
2018-06-13T18:07:58Z
CONTRIBUTOR
null
Included documentation for 'how' in DataFrame.resample - [x] closes #21463 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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21,466
Hdf5/ TimedeltaIndex storing not working property (table format)
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2018-06-13T16:17:07Z
2020-04-01T03:22:53Z
null
NONE
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#### When i save DataFrame with method to_hdf and i passed parameter format="table" I get strange behavior when I read the file, because my index is a different datatype than I recorded a file. ~~~python import pandas as pd import numpy as np df = pd.DataFrame(np.random.normal(size=(10,5))) df.index = pd.timed...
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Adding Multiindex support to dataframe pivot function(Fixes #21425)
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2018-06-13T17:09:24Z
2019-02-06T03:30:56Z
2019-02-06T03:30:55Z
CONTRIBUTOR
null
- [x] closes #21425 - [x] tests added/passed: - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew : Now dataframe.pivot function can take multiple columns as index Added extra case to handle indexing on multiple colums in dataframe.pivot function
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21,468
Feature request: adding read_ods function
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2018-06-13T20:42:53Z
2018-06-13T22:18:15Z
2018-06-13T21:07:27Z
NONE
null
It came to me as a surprise that Pandas has builtin `read_excel` function but it is not able to read `.ods` fils natively
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21,469
Series (but not DataFrame) combine_first() loses timezone information
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2018-06-13T22:50:38Z
2018-07-02T23:54:23Z
2018-07-02T23:54:23Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python dts1 = pd.date_range('20150101','20150105',tz='UTC') df1 = pd.DataFrame({'DATE':dts1}) dts2 = pd.date_range('20150103','20150105',tz='UTC') df2 = pd.DataFrame({'DATE':dts2}) df = df1.combine_first(df2) ...
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21,470
Index created from empty generator raises TypeError
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2018-06-13T23:32:21Z
2018-06-18T22:43:28Z
2018-06-18T22:43:28Z
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible ```python # returns Index([], dtype='object') pd.Index([]) # returns Index(['a', 'b', 'c'], dtype='object') pd.Index(x for x in ['a', 'b', 'c']) # raises TypeError: Cannot infer number of levels from empty list pd.Index(x for x in []) ``` #### Pro...
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21,471
to_csv regression in 0.23.1
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12
2018-06-14T00:10:00Z
2018-06-19T16:58:31Z
2018-06-19T16:58:30Z
NONE
null
Writing to gzip no longer works with 0.23.1: ``` with gzip.open('test.txt.gz', 'wt') as f: pd.DataFrame([0,1],index=['a','b'], columns=['c']).to_csv(f, sep='\t') ``` produces corrupted output. This works fine in 0.23.0. Presumably this is related to #21241 and #21118.
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BUG #21374: Fix divison with complex numbers in eval() method
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2018-06-14T02:07:36Z
2018-09-25T16:49:20Z
2018-09-25T16:49:20Z
NONE
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- [ ] closes #21374 - [ ] tests added / passed ```python data = {"a": [1 + 2j], "b": [1 + 1j]} df = pd.DataFrame(data = data) df.eval("a/b") ``` Expected output: ```python df["a"]/df["b"] 0 (1.5+0.5j) dtype: complex128 ``` New result: ```python df.eval("a/b") 0 (1.5+0.5j) dtype: complex128 ...
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what is the different of str and object? when date.series.astype()
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2018-06-14T07:03:15Z
2018-06-14T11:25:40Z
2018-06-14T11:25:29Z
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#### Code Sample, a copy-pastable example if possible ```python relatedobjid 5328242781 5328280661 5328282538 5328350087 5328398153 5328452557 5328452719 5328454338 5328463804 5328511640 5328512890 5328517629 5328535452 5328541156 aa=pd.read_clipboard() ##i want the following result a1=','.joi...
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21,474
how to sort_index when having 2 levels columns
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2018-06-14T09:36:06Z
2018-06-14T11:24:13Z
2018-06-14T11:24:06Z
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#### Code Sample, a copy-pastable example if possible import pandas as pd unames = ['user_id','gender','age','occupation','zip'] users = pd.read_table('D:/ProgramData/movielens/users.dat',sep='::', header=None, names=unames) rnames = ['user_id','movie_id','rating','timestamp'] ratings = pd.read_table('D:/Progr...
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21,475
CLN: remove SimpleMock from pandas.util.testing
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2018-06-14T10:34:24Z
2018-06-15T17:27:20Z
2018-06-15T17:27:20Z
CONTRIBUTOR
null
not used anywhere
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21,476
inplace clipping does not account for mixed precision
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2018-06-14T11:55:07Z
2021-10-29T02:19:40Z
null
CONTRIBUTOR
null
#### Code Sample, a copy-pastable example if possible This is just one case that can go wrong, but other edge cases are possible (see listing below) ```python import numpy as np import pandas as pd series = pd.Series([0], dtype=np.float32) upper = pd.Series([-np.finfo(np.float64).tiny], dtype=np.float64) s...
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BUG: inconsistency between replace dict using integers and using strings (#20656)
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2018-06-14T12:03:13Z
2018-08-09T10:51:59Z
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CONTRIBUTOR
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- [x] closes #20656 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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21,478
BUG/REG: file-handle object handled incorrectly in to_csv
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2018-06-14T17:03:53Z
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CONTRIBUTOR
null
- [x] closes #https://github.com/pandas-dev/pandas/issues/21471 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry This error related to PR #21249 and https://github.com/pandas-dev/pandas/issues/21227. This is never supported use case and to use fi...
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handling compression: filename vs magic numbers
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2018-06-14T17:17:27Z
2020-05-02T04:23:45Z
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CONTRIBUTOR
null
biopython/biopython#1686 is discussing reading in compressed files. pandas handles this pretty nicely (never run into issues myself), but it looks like the code infers the compression from the file extension. https://github.com/pandas-dev/pandas/blob/v0.23.1/pandas/io/common.py#L238 Why do this over sniffing for...
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21,480
How does Pandas from python reads the timestamp to datetime64? (HDF5)
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1
2018-06-14T17:21:34Z
2018-06-14T17:23:33Z
2018-06-14T17:23:21Z
NONE
null
I'm creating an application on C# that generates a hdf5 document with one row of the compound data being a timestamp (using unix timestamp), and i wish i could load this hdf5 in pandas and it load the timestamp column as a datetime64. I've tried to create the file from pandas and i saw it creates the dataset with a lot...
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21,481
BUG: Fix Index construction when given empty generator (#21470).
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2018-06-14T17:26:40Z
2018-06-29T14:56:58Z
2018-06-18T22:43:28Z
CONTRIBUTOR
null
- [ ] closes #21470 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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21,482
Removing SimpleMock test from pandas.util.testing
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2018-06-14T17:29:51Z
2018-06-15T17:29:21Z
2018-06-15T17:27:20Z
CONTRIBUTOR
null
Removing SimpleMock test - [x] closes #21475 - [ ] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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21,483
is_list_like missing implementation
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1
2018-06-14T17:43:59Z
2018-06-14T18:07:12Z
2018-06-14T18:05:07Z
NONE
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in `pandas_datareader` file `fred.py`you find: ``` from pandas.core.common import is_list_like ``` but it is not implemented any more. Some software relies on it, p.e. Orange3 Time Series
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21,484
Timedelta.__bool__ incorrect for nanosecond-only timedeltas
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2018-06-14T19:14:11Z
2018-06-18T22:39:39Z
2018-06-18T22:39:39Z
CONTRIBUTOR
null
```python In [3]: bool(pd.Timedelta(nanoseconds=1)) Out[3]: False In [4]: bool(pd.Timedelta(microseconds=1)) Out[4]: True ``` pr coming shortly.
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BUG: Timedelta.__bool__
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2018-06-14T19:22:11Z
2018-06-29T14:56:38Z
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CONTRIBUTOR
null
Closes #21484
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API/COMPAT: support axis=None for logical reduction (reduce over all axes)
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2018-06-14T19:56:00Z
2018-07-02T15:36:33Z
2018-06-26T07:34:16Z
CONTRIBUTOR
null
- [x] closes #19976 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry This is the minimal fix, just to get np.all / np.any working again. Some followup items: 1. Expand to all aggregations, not just logical ones 2. Do logical reductions blo...
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21,487
read_html: Handle colspan and rowspan
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2018-06-14T20:38:24Z
2018-07-16T12:47:49Z
2018-07-05T17:48:25Z
CONTRIBUTOR
null
This is essentially a rebased and squashed #17054 (mad props to @jowens for doing all the hard thinking). My tweaks: * test_computer_sales_page (see #17074) no longer tests for ParserError, because the ParserError was a bug caused by missing colspan support. Now, test that MultiIndex works as expected. * I r...
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not able to read the whole content of a cell
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2018-06-15T02:56:17Z
2018-06-15T22:36:52Z
2018-06-15T03:13:35Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd df = pd.read_excel('Financial Sample.xlsx') print df ``` #### Problem description My excel sheet has a column in which people can enter number of words but when i am reading it through pandas it is only ...
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pandas.rolling.apply skip calling function if window contains any NaN
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#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd # sample data with NaN df = pd.DataFrame([np.arange(8) + i * 10 for i in range(3)]).T df[0][3] = np.nan df[1][2] = np.nan df[2][6] = np.nan print(df) # sample function to apply to window def my_std(x): ...
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21,490
CLN: Index imports and 0.23.1 whatsnew
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2018-06-15T05:36:59Z
2018-06-29T14:49:30Z
2018-06-15T12:50:06Z
MEMBER
null
xref @jreback https://github.com/pandas-dev/pandas/pull/21216#discussion_r195367428 and cleaned up some formatting in the 0.23.1 whatsnew where GH issues references didn't hyperlink
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21,491
TST: Add unit tests for older timezone issues
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2018-06-15T06:25:05Z
2018-06-26T07:44:36Z
2018-06-18T22:34:30Z
MEMBER
null
- [x] closes #8616 - [x] closes #8910 - [x] closes #7825 - [x] closes #8306 - [x] closes #8531 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` In the spirit of your https://github.com/pandas-dev/pandas/pull/21407#issuecomment-396896678 @jreback, cleaned up some o...
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21,492
[question] Coverage when "slow" tests are disabled.
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4
2018-06-15T06:32:09Z
2018-06-16T22:42:22Z
2018-06-16T22:42:22Z
NONE
null
We are going to disable those "slow" tests on non-x86 architectures for Debian, such that the package build time could be significantly reduced (e.g. armhf, with "slow" = 6 hrs, without "slow" = 2 hrs). Does that affect the code coverage?
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21,493
PERF: improve speed of nans in CategoricalIndex
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2018-06-15T07:26:33Z
2018-07-02T23:24:25Z
2018-06-15T12:51:18Z
CONTRIBUTOR
null
This is a minor follow-up to #21369. ```python >>> n = 100_000 >>> ci = pd.CategoricalIndex(['a']*n + ['b']*n + ['c']*n + [np.nan]) >>> np.nan in ci 19.5 us # master 114 ns # this PR ``` Using ``self.hasnans`` to check for nans is faster than ``self.isna().any()`` because it's cached.
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21,494
Passing empty label list to df.drop() errors when index is non-unique
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2018-06-15T08:28:56Z
2018-06-21T08:13:02Z
2018-06-21T08:13:02Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python # Unique index works fine In [8]: pd.DataFrame(index=[1,2,3]).drop([]) Out[8]: Empty DataFrame Columns: [] Index: [1, 2, 3] # Non-unique index throws error In [9]: pd.DataFrame(index=[1,1,2]).drop([]) ----------------------------------------...
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21,495
Worked in 0.22, ceased to work in 0.23: assigning varied values to a DataFrame column slice without the need to put [0] at the end
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2018-06-15T10:09:00Z
2018-06-27T21:42:38Z
2018-06-27T21:42:18Z
NONE
null
#### Code Sample, a copy-pastable example if possible The following sample worked in 0.22 but no longer works in 0.23. ```python # Sample 1 df0.flight_number[pd.isna(df0.airline_icao)] = df0.flight_number[pd.isna(df0.airline_icao)].str.extract('^\(?([A-Z]{3})') ``` Rewriting it as follows does not help. ```pytho...
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Tseries fixtures docstrings
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2018-06-15T12:08:38Z
2018-07-09T19:34:42Z
2018-07-08T22:03:52Z
CONTRIBUTOR
null
- [ ] xref #19159 - [ ] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry
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REGR: Fixes first_valid_index when DataFrame or Series has duplicate row index (GH21441)
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2018-06-15T12:15:45Z
2018-06-29T14:59:07Z
2018-06-20T10:33:08Z
CONTRIBUTOR
null
- [x] closes #21441 - [x] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry
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21,498
Strange DataFrame dtype inference behavior
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2018-06-15T17:21:09Z
2018-06-15T20:58:32Z
2018-06-15T17:32:45Z
CONTRIBUTOR
null
#### Code All the below are the same, I'm only going to vary the value in the 'c' column ``` >>> df = pd.DataFrame([[1, 2, '0.1']], columns=['a', 'b', 'c']) >>> df.values [[1 2 '0.1']] >>> df.values[:,0] [1] >>> df.values[:,0].dtype object >>> df['a'].dtype int64 >>> df2 = pd.DataFrame([[1, 2, 0.1]], ...
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21,499
Python Pandas read_html fails when reading tables from Wikipedia
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2018-06-15T17:48:10Z
2018-11-17T16:05:37Z
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NONE
null
I am trying to read the tables from a Wikipedia page using the following code: ```python import pandas as pd pd.read_html('https://en.wikipedia.org/wiki/2013–14_Premier_League') ``` Doing that generates the following error: ```python UnicodeEncodeError: 'ascii' codec can't encode character '\u2013' in p...
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21,500
TST: Use numeric dtype fixtures for testing
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2018-06-15T19:02:55Z
2018-07-26T05:17:00Z
2018-07-26T05:16:46Z
MEMBER
null
Some new numeric dtype fixtures were implemented in #21432: https://github.com/pandas-dev/pandas/blob/9e982e18678c47c83ce2bb5932f844e2d9ee21f3/pandas/conftest.py#L183-L243 It would be nice to use these fixtures where appropriate in the existing tests, e.g. https://github.com/pandas-dev/pandas/blob/9e982e18678c47c8...
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21,501
Series dtype changes when a new row is added
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2018-06-15T19:08:52Z
2021-06-20T04:50:11Z
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CONTRIBUTOR
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## The problem If we create a `Series` with a defined `dtype` and then a new row is added into that `Series` the `dtype` changes. I have left an example below: - https://pandas.pydata.org/pandas-docs/stable/missing_data.html#inserting-missing-data - https://pandas.pydata.org/pandas-docs/stable/indexing.html#se...
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21,502
Write Excel Round-Trippable Timedeltas Regression
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2018-06-15T22:07:02Z
2018-06-15T22:01:19Z
NONE
null
#### Code Sample, a copy-pastable example if possible ```python import numpy as np import pandas as pd from io import BytesIO pd.__version__ # 0.22 or 0.23.1 import openpyxl openpyxl.__version__ # 2.5.4 import xlsxwriter xlsxwriter.__version__ # 1.0.5 df = pd.DataFrame({'Times': pd.TimedeltaIndex(['...
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De-duplicate code for indexing with list-likes of keys
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2018-06-15T21:00:39Z
2018-06-19T22:26:26Z
2018-06-19T20:36:56Z
MEMBER
null
- [x] tests passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` Just refactoring, removing duplicated code (I don't think the bug in ``Index._reindex_non_unique`` was actually appearing anywhere)
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21,504
wrap urlopen with requests
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2018-06-15T21:46:27Z
2019-02-11T16:13:18Z
2018-12-31T00:12:51Z
NONE
null
- [X] closes #16716 - [ ] tests added / passed - [X] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [ ] whatsnew entry Alternative to https://github.com/pandas-dev/pandas/pull/17087 I'll write the whatsnew entry, tests, and the session option for `html`, `json`, and `excel` if this path is ...
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21,505
read_excel function not reading the whole data in a cell if it has more than 45 charecters.
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2018-06-15T22:44:48Z
2018-06-15T23:32:18Z
2018-06-15T23:30:54Z
NONE
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#### Code Sample, a copy-pastable example if possible ```python # Your code here import pandas as pd df =pd.read_excel('Financial Sample1.xlsx') print (df) ``` #### Problem description I have already posted my issue before. The read_excel function is not able to read the excel sheet is only reading a part of ...
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21,506
PERF: avoid unnecessary recoding in CategoricalIndex._create_categorical
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2018-06-15T23:00:18Z
2018-09-20T21:13:21Z
2018-06-16T14:50:29Z
CONTRIBUTOR
null
- [x] progress towards #20395 - [x] xref #21369 - [ ] tests added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` This issue was found when looking for a solution to #20395. I've found that ``CategoricalIndex._create_categorical`` makes an unnecessary call to ``Categorical._set_dtype...
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Fix Timestamp rounding
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2018-06-15T23:39:29Z
2018-07-02T15:43:24Z
2018-06-29T00:26:39Z
CONTRIBUTOR
null
- Closes #21262 - Tests added (thanks @Safrone [PR](https://github.com/pandas-dev/pandas/pull/21265)) This change-set is to avoid rounding a timestamp when the timestamp is a multiple of the frequency string passed in. "Values" param passed into round_ns can either be a np array or int. So relevant handling add...
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PERF: add method Categorical.__contains__
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CONTRIBUTOR
null
- [x] closes #21022 - [x] xref #21369 - [x] tests added / passed - [x] benchmark added / passed - [x] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] whatsnew entry Currently, membership checks in ``Categorical`` is very slow as explained by @fjetter in #21022. This PR fixes the issue. See...
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332,995,722
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21,509
tz_convert error when using GMT timezones
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2018-06-16T15:46:10Z
2019-07-02T21:39:57Z
2018-06-16T17:31:14Z
NONE
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#### Code Sample ```python dates = pd.date_range(start=pd.datetime(2018,1,1), periods=4, freq='h', tz='UTC') print(dates) print(dates.tz_convert('Etc/GMT+1')) print(dates.tz_convert('Europe/Rome')) ``` output: ``` DatetimeIndex(['2018-01-01 00:00:00+00:00', '2018-01-01 01:00:00+00:00', ...
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21,510
concat does not respect order of an OrderedDict
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2019-03-13T13:11:29Z
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#### Code Sample, a copy-pastable example if possible ```python In [2]: from collections import OrderedDict In [3]: pd.concat(OrderedDict([('First', pd.Series(range(3))), ...: ('Another', pd.Series(range(4)))])) ...: Out[3]: Another 0 0 1 ...
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DOC: Improve code example for Index.get_indexer
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2018-06-16T17:52:42Z
2018-06-19T08:39:34Z
2018-06-19T08:20:13Z
CONTRIBUTOR
null
Make code example clearer for ``Index.get_indexer``
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