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https://api.github.com/repos/pandas-dev/pandas/issues/13504 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13504/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13504/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13504/events | https://github.com/pandas-dev/pandas/pull/13504 | 161,986,731 | MDExOlB1bGxSZXF1ZXN0NzUwMDA0MjQ= | 13,504 | BUG: Fix bug with symmetric difference of two equal MultiIndexes GH12490 | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Fixes a bug where the symmetric difference of two equal MultiIndexes would raise a TypeError. MultiIndex used to use the `Index.symmetric_difference`. With this PR it it's own implementation that... | {
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] | closed | false | null | [] | null | 2 | 2016-06-23T20:46:24Z | 2016-06-27T15:09:46Z | 2016-06-27T15:09:46Z | NONE | null | I am trying to read_csv from a csv buffer object while selecting an index column, but I am recieving an EmptyDataError. I can read the plain file and select an index_col no problem, but for some reason the buffer object is not achieving the same results. I pasted my code below.
```
import pandas as pd
from six import ... | {
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There's been discussion of a few overlapping uses of `Categorical`:
1. as 'true' categorical data with a known set of values
2. as 'lazy' categorical data which adds new categories as needed
3. as an interned string data type, with no particular categorical interpretation
Option 1 is ... | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-06-23T23:17:34Z | 2016-06-23T23:59:45Z | 2016-06-23T23:59:45Z | CONTRIBUTOR | null | Fixes a build error from https://github.com/pydata/pandas/pull/12946 caused by mmap error being returned in Italian when `LOCALE_OVERRIDE="it_IT.UTF-8"`. The test fails with:
`AssertionError: "Invalid argument" does not match "[Errno 22] Argomento non valido"`
``` python
msg = "Invalid argument"
tm.as... | {
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```
In [46]: s = pd.Series([1,2,3], index=[0.0,0.1,0.2])
In [47]: s[0.0]
Out[47]: 1
In [48]: s = pd.Series([(1,1),(2,2),(3,3)], index=[0.0,0.1,0.2])
In [49]: s[0.0]
...
TypeError: len() of unsized object
... | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-06-25T09:54:49Z | 2016-07-25T15:07:00Z | 2016-07-25T15:07:00Z | CONTRIBUTOR | null | Given a DataFrame which has a MultiIndex. When a label of the MultiIndex has the value NaN and the DataFrame is written to an excel file, the label will have a value which is not NaN in the excel file.
#### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame({'c1': [1,1,2,2],
'c2'... | {
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closes #936
This [notebook shows the usecase](http://nbviewer.jupyter.org/gist/jreback/186d09a99902a17a095d99ac6a5e4cd3)
- implement lint checking for cython (currently only for windows.pyx), xref #12995
This implements time-ware windows, IOW, to a `.rolling()` you can now pass a ragged / sparse timeseri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13514 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13514/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13514/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13514/events | https://github.com/pandas-dev/pandas/pull/13514 | 162,312,131 | MDExOlB1bGxSZXF1ZXN0NzUyMjEzMDM= | 13,514 | BUG/PERF: Sort mixed-int in Py3, fix Index.difference | {
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- [x] closes #12044
- [x] closes #12814
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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1. Added an internal `safe_sort` to safely sort mixed-integer
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https://api.github.com/repos/pandas-dev/pandas/issues/13515 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13515/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13515/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13515/events | https://github.com/pandas-dev/pandas/pull/13515 | 162,325,220 | MDExOlB1bGxSZXF1ZXN0NzUyMjgzMjg= | 13,515 | Force rebuilding of python files in PR | {
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``` .python
>>> s = pd.Series(['a', 'b', 'c', 'd'], index=['a', 'b', 'c', 'd'])
>>> d = {'a': 0, 'b': 1, 'c': 2, 'd': 3}
>>> s.map(d)
a 0
b 1
c 2
d 3
dtype: int64
>>> s.index.map(d)
Traceback (most recent call last):
File "<stdin>", line 1, in <... | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/13519 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13519/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13519/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13519/events | https://github.com/pandas-dev/pandas/issues/13519 | 162,348,541 | MDU6SXNzdWUxNjIzNDg1NDE= | 13,519 | groupby + shift drops group columns when as_index is False | {
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... | 7 | 2016-06-26T21:23:52Z | 2021-05-01T22:32:16Z | null | NONE | null | Using groupby + shift seems to have changed behaviour in 0.17 and 0.18 compared to 0.16.
With as_index=False, I would expect the columns that the groupby is made over to remain in the output dataframe, but they are no longer present.
#### Code Sample, a copy-pastable example if possible
``` python
>>>import pandas as ... | {
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``` python
In [49]: df = pd.DataFrame({'a': 1.}, index=pd.date_range('2014-01-01', '2015-12-31'))
In [50]: df.resample('M').pct_change()
FutureWarning: .resample() is now a deferred operation
use .resample(...).mean() instead of .resample(...)
if __name__ == '__... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13522 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13522/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13522/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13522/events | https://github.com/pandas-dev/pandas/issues/13522 | 162,569,194 | MDU6SXNzdWUxNjI1NjkxOTQ= | 13,522 | Assigning a string index as a column once can make further assignments affect both index and column. | {
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The behaviour is there for Index, Int64Index, and Float64Index but not DatetimeIndex.
#### Code Sample, a copy-pastable example if possib... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13523 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13523/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13523/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13523/events | https://github.com/pandas-dev/pandas/issues/13523 | 162,647,540 | MDU6SXNzdWUxNjI2NDc1NDA= | 13,523 | COMPAT: statsmodels 0.8 release | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2016-06-28T09:59:04Z | 2017-03-23T22:36:58Z | 2017-03-23T13:39:59Z | CONTRIBUTOR | null | https://groups.google.com/forum/m/?pli=1#!topic/pystatsmodels/VT24vE45oog
is out in pre release - would be nice to test with pandas (master and release) and report any issues
should also add to the ci once released
https://github.com/statsmodels/statsmodels/
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https://api.github.com/repos/pandas-dev/pandas/issues/13524 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13524/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13524/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13524/events | https://github.com/pandas-dev/pandas/issues/13524 | 162,698,328 | MDU6SXNzdWUxNjI2OTgzMjg= | 13,524 | Appending Pandas dataframes in for loop results in ValueError | {
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I want to generate a dataframe that is created by appended several separate dataframes generated in a for loop. Each individual dataframe consists of a name column, a range of integers and a column identifying a category to whi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13525 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13525/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13525/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13525/events | https://github.com/pandas-dev/pandas/pull/13525 | 162,724,953 | MDExOlB1bGxSZXF1ZXN0NzU1MDU0MDM= | 13,525 | Fixes a missing ".reshape" call | {
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Currently, some 2D arrays can go into [_possibly_infer_to_datetimelike](https://github.com/andyljones/pandas/blob/59b9e835d49036cabad19cf2c53140ac9f2eb465/pandas/core/common.py#L1133-L1222) and come out 1D. The issue is that the input is ravelled [at one point](http... | {
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I am trying to get a DataFrame from dict whose values are of variable length. However, I get a `ValueError`.
```
In [1]: import numpy as np
In [2]: import pandas as pd
In [3]: x_dict = {"A{}".format(i): np.random.randint(1, 25, data) for i, data in enumerate([5, 10, 15, 20])}
In [4]: x_dict
Out[4]:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13528 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13528/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13528/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13528/events | https://github.com/pandas-dev/pandas/pull/13528 | 162,824,885 | MDExOlB1bGxSZXF1ZXN0NzU1Nzc2MTk= | 13,528 | DOC: update brief documentation on visualization projects | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-06-29T01:54:32Z | 2016-06-29T10:16:18Z | 2016-06-29T10:15:56Z | CONTRIBUTOR | null | - [ X] passes `git diff upstream/master | flake8 --diff`
Minor Documentaion change to note that Vincent project has intentionally been abandoned and is not longer maintained. Add a pointer to IPython Vega successor.
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Paste-ready code:
```
import traceback
import warnin... | {
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```
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()
```
this results in an empty df:
```
Out[255]:
Empty DataFrame
Columns: []
Index: [a, b, s]
```
On Master it results in an error see related: https://github.com/pydata/pandas/issues/13393
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https://api.github.com/repos/pandas-dev/pandas/issues/13531 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13531/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13531/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13531/events | https://github.com/pandas-dev/pandas/issues/13531 | 162,945,037 | MDU6SXNzdWUxNjI5NDUwMzc= | 13,531 | read_gbq should offer an option to save to dataset | {
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... | closed | false | null | [] | null | 6 | 2016-06-29T14:48:23Z | 2016-09-11T16:48:44Z | 2016-09-11T16:48:39Z | NONE | null | Right now `read_gbq` runs a query and retrieves the results into a data_frame. If one wants to also save it into a dataset table, one then has to call `to_gbq` which would stream the results back.
The `bq` command line tool has an option to pass a destination dataset table immediately on query to store the results.
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https://api.github.com/repos/pandas-dev/pandas/issues/13532 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13532/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13532/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13532/events | https://github.com/pandas-dev/pandas/pull/13532 | 163,004,538 | MDExOlB1bGxSZXF1ZXN0NzU3MDUxMDc= | 13,532 | DOC: update sphinx requirements for doc building | {
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@cswarth Do you have other things that you find unclear about the requirements for the doc build environment?
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- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13535 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13535/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13535/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13535/events | https://github.com/pandas-dev/pandas/issues/13535 | 163,149,374 | MDU6SXNzdWUxNjMxNDkzNzQ= | 13,535 | Document pandas.DataFrame.to_stata data_label | {
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I tried a dictionary... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13536 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13536/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13536/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13536/events | https://github.com/pandas-dev/pandas/issues/13536 | 163,162,429 | MDU6SXNzdWUxNjMxNjI0Mjk= | 13,536 | ENH: Support Stata variable labels | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-06-30T13:14:56Z | 2016-07-19T01:59:54Z | 2016-07-19T01:59:54Z | CONTRIBUTOR | null | xref https://github.com/pydata/pandas/issues/13535#issuecomment-229652201
cc @frehoy
> It seems that is is almost implemented here.
>
> See
> https://github.com/pydata/pandas/blob/master/pandas/io/stata.py#L2057
>
> and
>
> https://github.com/pydata/pandas/blob/master/pandas/io/stata.py#L2134
>
> As you can see, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13537 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13537/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13537/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13537/events | https://github.com/pandas-dev/pandas/issues/13537 | 163,172,958 | MDU6SXNzdWUxNjMxNzI5NTg= | 13,537 | Plot expressions | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2016-06-30T14:01:26Z | 2016-07-01T07:31:13Z | 2016-07-01T02:25:00Z | NONE | null | It would be nice to have the possibility to plot expressions. Suppose I have a dataframe with three columns: col1, col2, col3. Now I can do:
```
df.plot.scatter(x='col1', y='col2')
```
it would be nice to be able to plot expressions directly:
```
df.plot.scatter(x='col1 ** 2', y = 'col2 / sqrt(col3)')
```
and also ... | {
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```
s1=pd.Series([True,False,True,True])
s2=pd.Series([True,True,False])
s1.index=pd.MultiIndex.from_tuples( [(0, 2), (1, 1), (1, 2), (2, 1)],names=['st', 'at'])
s2.index=pd.Index([0,1,2], name='st')
ds1=pd.DataFrame(s1)
ds2=pd.DataFrame(s2)
s3=pd.Series([True,F... | {
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"followers_url": "https://api.github.com/users/jorisva... | 6 | 2016-06-30T18:33:52Z | 2016-07-01T12:42:26Z | 2016-07-01T11:45:42Z | NONE | null | Hi,
I have a simple dataframe with a multiindex.
```
stats.index.names
Out[67]: FrozenList([u'day', u'category'])
```
day is a time variable, category is a string.
```
stats.index.inferred_type
Out[69]: 'mixed'
stats.index.dtype_str
Out[68]: 'object'
```
if I type
```
idx=pd.IndexSlice
stats.loc[idx['2015-01-01... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13540 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13540/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13540/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13540/events | https://github.com/pandas-dev/pandas/issues/13540 | 163,287,624 | MDU6SXNzdWUxNjMyODc2MjQ= | 13,540 | [Feature Request] Pandas.Series.info | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-06-30T23:19:12Z | 2016-07-01T01:24:57Z | 2016-06-30T23:42:41Z | NONE | null | It would be great if Pandas Series got an info method, like Pandas DataFrame. My main interest is to find out memory usage.
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https://api.github.com/repos/pandas-dev/pandas/issues/13541 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13541/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13541/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13541/events | https://github.com/pandas-dev/pandas/issues/13541 | 163,379,393 | MDU6SXNzdWUxNjMzNzkzOTM= | 13,541 | CLN: unused parameters in cum_* functions | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-01T11:47:48Z | 2016-07-03T23:23:08Z | 2016-07-03T23:23:08Z | CONTRIBUTOR | null | xref #13167
cc @gfyoung
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-07-01T12:17:55Z | 2016-08-15T17:52:44Z | 2016-08-15T17:52:44Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
``` python
np.random.seed(12345)
panel = pd.Panel(np.random.randn(125,200,10))
panel.iloc[:,:,0] = np.round(panel.iloc[:,:,0])
panel.iloc[:,:,1] = np.round(panel.iloc[:,:,1])
x = panel
cols = [0,1]
_x = x.swapaxes(0, 2).to_frame()
numeric_cols = []
for df_col in _... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13543 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13543/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13543/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13543/events | https://github.com/pandas-dev/pandas/issues/13543 | 163,390,998 | MDU6SXNzdWUxNjMzOTA5OTg= | 13,543 | BUG: groupby.transform passing `Series` to transformation | {
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``` python
np.random.seed(12345)
panel = pd.Panel(np.random.randn(125,200,10))
panel.iloc[:,:,0] = np.round(panel.iloc[:,:,0])
panel.iloc[:,:,1] = np.round(panel.iloc[:,:,1])
x = panel
cols = [0,1]
_x = x.swapaxes(0, 2).to_frame()
numeric_cols = []
for df_col in _... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13544 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13544/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13544/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13544/events | https://github.com/pandas-dev/pandas/issues/13544 | 163,442,516 | MDU6SXNzdWUxNjM0NDI1MTY= | 13,544 | Plot area legend rendered incorrectly when moved out of the plot | {
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In area plots, the handles in the legend are made with filled rectangles, as for example in:
``` python
df = pd.DataFrame(np.random.rand(20, 5), columns=['A', 'B', 'C', 'D', 'E'])
df.plot(kind='area', linewidth=0.1)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/13545 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13545/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13545/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13545/events | https://github.com/pandas-dev/pandas/issues/13545 | 163,455,909 | MDU6SXNzdWUxNjM0NTU5MDk= | 13,545 | Support converters across multiple Excel spreadsheets | {
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"descript... | closed | false | null | [] | null | 3 | 2016-07-01T19:01:47Z | 2016-07-06T21:00:05Z | 2016-07-06T21:00:05Z | NONE | null | Hi,
When using `pd.read_excel(..., sheetname=None, converters={...})` to load all data in an Excel workbook, the columns specified in `converters` gets applied to any matching column names across _all_ spreadsheets. I have a use case where I would like to use different converter functions for columns of the same name ... | {
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#### ... | {
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... | 1 | 2016-07-01T19:55:16Z | 2019-10-21T19:34:18Z | null | CONTRIBUTOR | null | http://stackoverflow.com/questions/38152606/pandas-hdfstore-append-to-multiple-with-pandas-multiindex
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I think it would be great to include the same functionality for any column.
Consider this DF:
```
>>> a = pd.DataFrame([pd.to_datetime('2016-4-3 15:32:04'), pd.to_datetime('2016-4-9... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13549 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13549/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13549/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13549/events | https://github.com/pandas-dev/pandas/issues/13549 | 163,512,470 | MDU6SXNzdWUxNjM1MTI0NzA= | 13,549 | Codec `utf-16` aliases do not work in read_csv with c engine | {
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```
import pandas
path = "test.csv"
pandas.DataFrame({"A": [0,1], "B": [2,3]}).to_csv(
path, encoding="utf-16")
for encoding in ["utf-16","utf_16","UTF_16","UTF-16"]:
try:
pandas.io.parsers.read_csv(
path,
engine='c',
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13550 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13550/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13550/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13550/events | https://github.com/pandas-dev/pandas/pull/13550 | 163,537,960 | MDExOlB1bGxSZXF1ZXN0NzYwNzU4NzA= | 13,550 | Removed unnecessary params in cum_func | {
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Closes #13541.
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https://api.github.com/repos/pandas-dev/pandas/issues/13551 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13551/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13551/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13551/events | https://github.com/pandas-dev/pandas/pull/13551 | 163,542,988 | MDExOlB1bGxSZXF1ZXN0NzYwNzg2NDQ= | 13,551 | BUG: Fix .to_excel() for MultiIndex containing a NaN value #13511 | {
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- [X] tests added / passed
- [X] passes `git diff upstream/master | flake8 --diff`
- [X] whatsnew entry
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So it should be defined on `TestPivotTable`.
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https://api.github.com/repos/pandas-dev/pandas/issues/13554 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13554/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13554/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13554/events | https://github.com/pandas-dev/pandas/pull/13554 | 163,566,355 | MDExOlB1bGxSZXF1ZXN0NzYwOTEzNTE= | 13,554 | BUG: pivot_table always returns a DataFrame | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Before this commit, if
- `values` is not list like
- `columns` is `None`
- `aggfunc` is not instance of `list`
`pivot_table` returns a `Series`.
This commit adds checking for `column... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13555 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13555/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13555/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13555/events | https://github.com/pandas-dev/pandas/issues/13555 | 163,570,574 | MDU6SXNzdWUxNjM1NzA1NzQ= | 13,555 | Modules operation on DataFrame return -0 result. | {
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] | closed | false | null | [] | null | 2 | 2016-07-03T17:02:27Z | 2016-07-03T23:31:29Z | 2016-07-03T23:31:29Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
import pandas as pd
import numpy as np
dates = pd.date_range('20160101', periods=12)
df = pd.DataFrame(np.random.randn(12, 4), index=dates, columns=list('ABCD'))
df.sort_index(axis=1, ascending=False) % df.sort_index(axis=1, ascending=True)
Output : -
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13556 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13556/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13556/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13556/events | https://github.com/pandas-dev/pandas/issues/13556 | 163,594,358 | MDU6SXNzdWUxNjM1OTQzNTg= | 13,556 | Unexpected behavior -- crosstab with dropna=False | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-07-04T02:43:34Z | 2016-07-04T07:55:26Z | 2016-07-04T03:00:19Z | NONE | null | ### Summary of issue
By the name of it, I expected using the 'dropna=False' option with crosstab would have given me results that include rows for which my column value is missing. However, I instead found that missing values continue to be ignored.
#### Code Sample
```
df = pd.DataFrame({'geography': ['tropic', 't... | {
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In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: p = pd.Panel(np.arange(512).reshape((8,8,8)))
In [4]: p.to_frame()
Out[4]: <repr(<pandas.core.frame.DataFrame at 0x7fcd99f25590>) failed: TypeError: data type "major" not understood>
In [5]: p.axes
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https://api.github.com/repos/pandas-dev/pandas/issues/13558 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13558/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13558/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13558/events | https://github.com/pandas-dev/pandas/issues/13558 | 163,612,677 | MDU6SXNzdWUxNjM2MTI2Nzc= | 13,558 | Dont do selection by callable if not wanted | {
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``` python
import pandas as pd
import pandas.util.testing as tm
class myClass1:
def __call__(self):
return "Result 1"
def __str__(self):
return "Class 1"
class myClass2:
def __call__(self):
return "Result 2"
def __str__(self):
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https://api.github.com/repos/pandas-dev/pandas/issues/13559 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13559/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13559/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13559/events | https://github.com/pandas-dev/pandas/pull/13559 | 163,644,116 | MDExOlB1bGxSZXF1ZXN0NzYxNDAyMDY= | 13,559 | TST: confirm bug in partial string multi-index slicing is fixed (GH12685) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13560 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13560/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13560/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13560/events | https://github.com/pandas-dev/pandas/pull/13560 | 163,708,408 | MDExOlB1bGxSZXF1ZXN0NzYxODUwMzM= | 13,560 | Update gotchas.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13561 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13561/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13561/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13561/events | https://github.com/pandas-dev/pandas/pull/13561 | 163,750,785 | MDExOlB1bGxSZXF1ZXN0NzYyMDQ5MDQ= | 13,561 | TST: Add tests for single group | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/13562 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13562/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13562/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13562/events | https://github.com/pandas-dev/pandas/issues/13562 | 163,753,218 | MDU6SXNzdWUxNjM3NTMyMTg= | 13,562 | RLS: 0.18.2 | {
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"followers_url": "https://api.github.co... | 12 | 2016-07-05T00:13:43Z | 2016-07-11T22:22:16Z | 2016-07-09T16:38:59Z | MEMBER | null | It is two months since 0.18.1 is released, and there are already quite a lot of changes in master, so it is time to think about a next release.
Currently, the release is targeted to be 0.18.2.
Personally, I think current master has already more new features and slight API changes than would be expected from a bug-fix... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13563 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13563/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13563/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13563/events | https://github.com/pandas-dev/pandas/issues/13563 | 163,753,406 | MDU6SXNzdWUxNjM3NTM0MDY= | 13,563 | Deprecation of Panel ? | {
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- https://github.com/pydata/pandas/issues/8906#issuecomment-152613473 experience of the ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13564 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13564/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13564/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13564/events | https://github.com/pandas-dev/pandas/issues/13564 | 163,753,660 | MDU6SXNzdWUxNjM3NTM2NjA= | 13,564 | Deprecation of Panel4D/PanelND | {
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(xref https://github.com/pydata/pandas/issues/5049)
Deprecating Panel4D/ND could probably be done sooner than deprecating Panels (e.g. actually deprecating in 0.19.0 ?)
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https://api.github.com/repos/pandas-dev/pandas/issues/13565 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13565/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13565/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13565/events | https://github.com/pandas-dev/pandas/issues/13565 | 163,825,964 | MDU6SXNzdWUxNjM4MjU5NjQ= | 13,565 | Call unique() on a timezone aware datetime series returns non timezone aware result | {
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#### Code Sample
import pandas as pd
import pytz
import datetime
In [242]: ts = pd.Series([datetime.datetime(2011,2,11,20,0,0,0,pytz.utc), datetime.datetime(2011,2,11,20,0,0,0,pytz.utc), datetime.datetime(2011,2,11,21,0,0,0,pytz.utc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13566 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13566/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13566/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13566/events | https://github.com/pandas-dev/pandas/issues/13566 | 163,829,304 | MDU6SXNzdWUxNjM4MjkzMDQ= | 13,566 | Test failures on 32-bit Linux | {
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```
======================================================================
ERROR: test_read_dta12 (pandas.io.tests.test_stata.TestStata)
----------------------------------------------------------------------
Traceback (most recent call last... | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
the Datetime64Formatter class did not accept a `formatter` argument, so custom formatters passed in through `df.to_string` or `df.to_html` were silently ignored.
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https://api.github.com/repos/pandas-dev/pandas/issues/13568 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13568/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13568/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13568/events | https://github.com/pandas-dev/pandas/issues/13568 | 163,873,741 | MDU6SXNzdWUxNjM4NzM3NDE= | 13,568 | Apply on selected columns of a groupby object - stopped working with 0.18.1 | {
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``` python
>>> import pandas as pd
>>> import numpy as np
>>>
>>> df = pd.DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',
... 'foo', 'bar', 'foo', 'foo'],
... 'B' : ['one', 'one', 'two', 'three',
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"followers_url": "https://api.github.com/users/j... | 2 | 2016-07-05T17:24:18Z | 2021-05-17T15:17:29Z | 2021-05-17T15:17:29Z | CONTRIBUTOR | null | When using `.loc` to expand a column, the dataframe and the constituent Series can get out of sync. This led to a strange issue in some legacy code I inherited. Because of the copy/view issues I wouldn't have written this particular code myself, but it still cost me some time tracking down what was happening:
```
df... | {
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```
ERROR: test_plot (pandas.tests.test_graphics.TestDataFramePlots)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/$BUILD/debian/tmp/usr/lib/python2.7/dist-package... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13571 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13571/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13571/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13571/events | https://github.com/pandas-dev/pandas/pull/13571 | 163,951,811 | MDExOlB1bGxSZXF1ZXN0NzYzNDY3MzQ= | 13,571 | BUG: read_csv throws UnicodeDecodeError with unicode aliases | {
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---
- [x] closes #13549
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
-read_csv with engine=c throws error when encoding=UTF_16 (anything other than utf-16)
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... | 7 | 2016-07-06T12:23:22Z | 2019-06-28T16:32:00Z | 2019-06-28T16:32:00Z | NONE | null | There is an inconsistency when you look for dates in a DateTimeIndex if you query using strings and the index is non-monotonic. The first element in the index cannot be found in this way, but if you manually convert it to a timestamp object, or if you look for elements other than the first, then the lookup is successfu... | {
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---
- [x] closes #13570
- [x] tests passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [X] whatsnew entry
The "blarg" argument is propagated to matplotlib and there it raises an
AttributeError (and not a TypeError).
However, since the test doesn't seem to have a rationale, it is re... | {
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- [x] tests added / passed
pandas.tests.indexes.test_datetimelike.TestDatetimeIndex:test_contains
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
…ime index and the object in question is first in the index.
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13576 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13576/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13576/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13576/events | https://github.com/pandas-dev/pandas/issues/13576 | 164,244,521 | MDU6SXNzdWUxNjQyNDQ1MjE= | 13,576 | BUG: python and c engines for read_csv treat blank spaces differently, when using converters | {
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```
In [109]:
data = np.array([[ 'c1', 'c2'],
[ '', 0.285],
[ 10.1, 0.285]], dtype=object)
In [110]:
pd.DataFrame(data).to_csv('test.csv',header=False,index=False)
In [111]:
!cat test.csv
Out[111]:
c1,c2
,0.285
10.1,0.285
In [113]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13577 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13577/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13577/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13577/events | https://github.com/pandas-dev/pandas/issues/13577 | 164,262,241 | MDU6SXNzdWUxNjQyNjIyNDE= | 13,577 | GbqConnector should be able to fetch default credentials on Google Compute Engine | {
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```
class GbqConnector(object):
...
def get_user_account_credentials(self):
...
...
```
Google Compute Engine and Google Dataproc etc. already have default application credentials on them. Therefore, there is no need of running `OAuth2W... | {
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- [x] passed all existing tests for GbqConnector
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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---
- [x] closes #12548
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
cleanup `tools/plotting` as `plotting` subpackage. Because the differences are being huge, would like to split 3 part if base direction is OK:
~~1. Move plotti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13580 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13580/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13580/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13580/events | https://github.com/pandas-dev/pandas/issues/13580 | 164,391,824 | MDU6SXNzdWUxNjQzOTE4MjQ= | 13,580 | InStr Comparison between two values on the same row in the same DataFrame | {
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- InStr Comparison between two values on the same row in the same DataFrame
Would be great if pandas would enable some 'instr' functionality between two columns.
For instance, being able to tell when the contents of one value exist in another:
- Excel does this in the following manner:
`=inst... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13581 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13581/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13581/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13581/events | https://github.com/pandas-dev/pandas/pull/13581 | 164,405,207 | MDExOlB1bGxSZXF1ZXN0NzY2NjM2ODQ= | 13,581 | BUG: DatetimeIndex - Period shows ununderstandable error | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13582 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13582/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13582/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13582/events | https://github.com/pandas-dev/pandas/issues/13582 | 164,417,568 | MDU6SXNzdWUxNjQ0MTc1Njg= | 13,582 | Checking for NaT in PeriodIndex doesn't work with None, pd.NaT | {
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``` python
>>> None in pd.period_range('2015-01-01', periods=1, freq='D').insert(0, pd.NaT)
False
```
Incorrect behavior for `pd.NaT, None, float('nan'), np.nan`
#### Expected Output
``` python
>>> None in pd.period_range('2015-01-01', periods=1, freq='D').insert... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13583 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13583/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13583/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13583/events | https://github.com/pandas-dev/pandas/pull/13583 | 164,426,159 | MDExOlB1bGxSZXF1ZXN0NzY2NzkzNTM= | 13,583 | BUG: Block/DTI doesnt handle tzlocal properly | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Unable to concatenate `Series` with `tzlocal`
```
s = pd.Series([pd.Timestamp('2011-01-01', tz=dateutil.tz.tzlocal())])
s
#0 2011-01-01 00:00:00+09:00
# dtype: datetime64[ns, tzlocal()]
pd.concat([s, s])
# Unkno... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13585 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13585/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13585/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13585/events | https://github.com/pandas-dev/pandas/pull/13585 | 164,493,985 | MDExOlB1bGxSZXF1ZXN0NzY3MjU4Mjc= | 13,585 | BUG: groupby apply on selected columns yielding scalar (GH13568) | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/13586 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13586/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13586/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13586/events | https://github.com/pandas-dev/pandas/pull/13586 | 164,503,870 | MDExOlB1bGxSZXF1ZXN0NzY3MzMwMzc= | 13,586 | RLS: switch master from 0.18.2 to 0.19.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13587 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13587/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13587/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13587/events | https://github.com/pandas-dev/pandas/issues/13587 | 164,553,546 | MDU6SXNzdWUxNjQ1NTM1NDY= | 13,587 | Logical comparison operators and mathematical operators are applied inconsistently for series. | {
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This is probably similar to https://github.com/pydata/pandas/issues/4581.
e.g.
`import pandas as pd`
`a = pd.Series([1, 4], index=[0, 1])`
`b = pd.Series([3, 7], index=[1, 0])`
`a>b`
Gives
`0 False`
`1 ... | {
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have their own packages in official repositories, it is better
to point to them than the one from OpenSuse.
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https://api.github.com/repos/pandas-dev/pandas/issues/13589 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13589/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13589/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13589/events | https://github.com/pandas-dev/pandas/issues/13589 | 164,599,929 | MDU6SXNzdWUxNjQ1OTk5Mjk= | 13,589 | Series.sort_index does not accept kwargs kind and na_position. | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-07-08T19:27:36Z | 2016-12-04T20:32:42Z | 2016-12-04T20:32:42Z | CONTRIBUTOR | null | The sort_index method on DataFrame and NDFrame takes kwargs `kind` and `na_position`, but `Series` does not currently support it. (In addition their shared docstring says Series would support it.)
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Follow-up of #10951. Remove legacy offsets deprecated in 0.17.0.
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https://api.github.com/repos/pandas-dev/pandas/issues/13591 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13591/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13591/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13591/events | https://github.com/pandas-dev/pandas/issues/13591 | 164,657,422 | MDU6SXNzdWUxNjQ2NTc0MjI= | 13,591 | Non expected result from to_msgpack with Python 2 and read_msgpack Python 3 | {
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... | 1 | 2016-07-09T08:30:49Z | 2019-10-12T23:51:05Z | 2019-10-12T23:51:05Z | NONE | null | #### Code Sample, a copy-pastable example if possible
Step 1. Run the code with Python 2 and Python 3
``` python
from sys import version
from pandas import DataFrame
print(version)
vers = version[0]
file_name = 'foobar'
data = {'a': [1], 'b': [2]}
dtf = DataFrame(data=data)
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
`Series` and `Index` compares `NaT == NaT` as `True` if it has `object` dtype.
```
pd.Series([pd.NaT])
#0 NaT
# dtype: datetime64[ns]
# OK
pd.Series([pd.NaT]) == pd.NaT
#0 False
# dtype: ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13593 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13593/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13593/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13593/events | https://github.com/pandas-dev/pandas/pull/13593 | 164,670,547 | MDExOlB1bGxSZXF1ZXN0NzY4NDg4MTA= | 13,593 | DEPR: rename Timestamp.offset to .freq | {
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- [x] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/13594 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13594/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13594/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13594/events | https://github.com/pandas-dev/pandas/pull/13594 | 164,670,762 | MDExOlB1bGxSZXF1ZXN0NzY4NDg5MjM= | 13,594 | CLN: Initialization coincides with mapping, hence with uniqueness check | {
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- [x] passes `git diff upstream/master | flake8 --diff`
Rebased version of https://github.com/pydata/pandas/pull/10229 which was [actually not](https://github.com/pydata/pandas/pull/10229#issuecomment-131470116) fixed by https://github.com/pydata/pandas/pull/10199.
Nothing particular releva... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13595 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13595/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13595/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13595/events | https://github.com/pandas-dev/pandas/issues/13595 | 164,670,890 | MDU6SXNzdWUxNjQ2NzA4OTA= | 13,595 | Series.argmax() fails with np.inf | {
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```
In [3]: s = pd.Series([1, 2, np.inf])
In [4]: s.argmax()
Out[4]: 1
In [5]: s.argmax(skipna=False)
Out[5]: nan
```
#### Expected Output
2 in both cases.
#### output of `pd.show_versions()`
In [6]: pd.show_versions()
```
INSTALLED VERSIONS
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```
In [2]: mi = pd.MultiIndex.from_product([[1,2], ['a', 'b']])
In [3]: mi.values
Out[3]: array([(1, 'a'), (1, 'b'), (2, 'a'), (2, 'b')], dtype=object)
In [4]: mi.values[0] = (3, 'c')
In [5]: mi.values
Out[5]: array([(3, 'c'), (1, 'b'), (2, 'a'), (2, 'b')], dt... | {
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```
In [2]: df = pd.DataFrame(index=pd.MultiIndex.from_tuples([['a', 'b', 'c']]), columns=[1, 2])
In [3]: df.loc['a', 'b', 'c']
Out[3]:
1 NaN
2 NaN
Name: (a, b, c), dtype: object
In [4]: df.loc['a', 'b', :]
Out[4]:
1 2
c NaN NaN
In [5]: df.loc[... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13598 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13598/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13598/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13598/events | https://github.com/pandas-dev/pandas/issues/13598 | 164,671,341 | MDU6SXNzdWUxNjQ2NzEzNDE= | 13,598 | Series.str.zfill() doesn't check type | {
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```
In [5]: pd.Series(['a', 'b']).str.zfill('hi')
Out[5]:
0 NaN
1 NaN
dtype: float64
```
#### Expected Output
A `ValueError`.
#### output of `pd.show_versions()`
```
In [3]: pd.show_versions()
INSTALLED VERSIONS
------------------
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```
In [2]: pd.MultiIndex.from_arrays([[1,2,3], ['a', 'b']])
Out[2]:
MultiIndex(levels=[[1, 2, 3], ['a', 'b']],
labels=[[0, 1, 2], [0, 1]])
In [3]: pd.MultiIndex.from_arrays([[1,2,3], ['a', 'b']]).values
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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https://api.github.com/repos/pandas-dev/pandas/issues/13601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13601/events | https://github.com/pandas-dev/pandas/issues/13601 | 164,671,642 | MDU6SXNzdWUxNjQ2NzE2NDI= | 13,601 | Assigning array of >1 dim to index produces inconsistent index | {
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{
"color": "e996... | closed | false | null | [] | {
"closed_at": "2020-01-30T12:18:05Z",
"closed_issues": 2207,
"created_at": "2012-09-13T02:13:00Z",
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2016-07-09T15:29:56Z | 2020-01-09T21:17:06Z | 2020-01-09T21:17:06Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```
In [3]: s = pd.Series(0, range(4))
In [4]: s.index = np.array([[2,3]]*4)
In [5]: s
Out[5]: ---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/home/nobackup/r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13602 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13602/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13602/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13602/events | https://github.com/pandas-dev/pandas/pull/13602 | 164,687,337 | MDExOlB1bGxSZXF1ZXN0NzY4NTgwMDA= | 13,602 | CLN: Removed coerce param in pd.to_timedelta and pd.to_datetime | {
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"name": "Timedelta",
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"des... | closed | false | null | [] | {
"closed_at": "2017-05-06T10:20:19Z",
"closed_issues": 987,
"created_at": "2016-02-08T15:30:21Z",
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"followers_url": "https://api.github.com/users/jr... | 27 | 2016-07-09T21:51:53Z | 2016-10-15T20:08:03Z | 2016-10-15T19:58:27Z | MEMBER | null | Deprecated back in `v0.17.0` <a href="https://github.com/pydata/pandas/commit/987b7e7e586b8df1d127406c69e0a9094a1a5322">here</a>. Seems appropriate to carry though now.
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https://api.github.com/repos/pandas-dev/pandas/issues/13603 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13603/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13603/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13603/events | https://github.com/pandas-dev/pandas/issues/13603 | 164,687,563 | MDU6SXNzdWUxNjQ2ODc1NjM= | 13,603 | Checking for any NaT-like objects in a TimedeltaIndex always returns True | {
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"color": "0b02e1",
"default": false,
"description": "Related to indexing on s... | closed | false | null | [] | {
"closed_at": "2016-10-03T08:52:13Z",
"closed_issues": 733,
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-07-09T21:57:45Z | 2016-07-19T01:14:14Z | 2016-07-19T01:14:14Z | NONE | null | #### Code Sample, a copy-pastable example if possible
``` python
>>> None in pd.to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)
True
```
Returns `True` for any one of `[pd.NaT, None, float('nan'), np.nan]`
#### Expected Output
``` python
>>> None in pd.to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)
Fals... | {
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