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https://api.github.com/repos/pandas-dev/pandas/issues/13204 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13204/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13204/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13204/events | https://github.com/pandas-dev/pandas/issues/13204 | 155,284,017 | MDU6SXNzdWUxNTUyODQwMTc= | 13,204 | groupby with index = False returns NANs when column is categorical. | {
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http://stackoverflow.com/questions/37279260/why-doesnt-pandas-allow-a-categorical-column-to-be-used-in-groupby?noredirect=1#comment62084780_37279260
```
>>> pd.__version__
'0.18.1'
>>>
# import the pandas module
import pandas as pd
# Create an example dataframe
raw_dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13205 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13205/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13205/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13205/events | https://github.com/pandas-dev/pandas/pull/13205 | 155,293,972 | MDExOlB1bGxSZXF1ZXN0NzAzODExNTA= | 13,205 | Numindexname | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entries: name passing, unsupported `dtype`s, `copy=true` for `DateTimeIndex`
This is a rebased & updated version of #12331
I would say the [last commit](https://github.com/pydata/pandas/pull/13205/com... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13206 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13206/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13206/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13206/events | https://github.com/pandas-dev/pandas/issues/13206 | 155,300,875 | MDU6SXNzdWUxNTUzMDA4NzU= | 13,206 | BUG: Quote table names in to_sql | {
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xl.to_sql(con=conn, name='d1187b08-4943-4c8d-a7f6-6c06b7cb9509', flavor='mysql', if_exists='replace')
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "C:\Dev\Project\www\venv\project\lib\site-packages\pandas\core\generic.py", line 1165, in to_sql
chunksize=chunksize, dtype... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13207 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13207/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13207/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13207/events | https://github.com/pandas-dev/pandas/issues/13207 | 155,338,716 | MDU6SXNzdWUxNTUzMzg3MTY= | 13,207 | BUG: Index doesn't have an .empty attribute | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-05-17T19:14:01Z | 2017-03-28T19:10:59Z | 2017-03-28T19:10:59Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
``` python
In [108]: i = pd.Index([])
In [109]: bool(i)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-109-43b3c3723ad4> in <module>()
----> 1 b... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13208 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13208/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13208/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13208/events | https://github.com/pandas-dev/pandas/issues/13208 | 155,364,158 | MDU6SXNzdWUxNTUzNjQxNTg= | 13,208 | Series __finalized__ not correctly called in binary operators | {
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#!/bin/env python
"""
Example bug in derived Pandas Series.
__finalized__ is not called in arithmetic binary operators, but it is in in some booleans cases.
>>> m = MySeries([1, 2, 3], name='test')
>>> m.x = 42
>>> n=m[:2]
>>> n
0 1
1 2
dtype: int64
>>> n.x
42
>>> o=n+1
>>> o
0 2
1 3
dtype: int64
>>> ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13209 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13209/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13209/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13209/events | https://github.com/pandas-dev/pandas/pull/13209 | 155,367,899 | MDExOlB1bGxSZXF1ZXN0NzA0MzQ3MzI= | 13,209 | BUG: Fix #13149 and ENH: 'copy' param in Index.astype() | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2016-05-17T21:36:03Z | 2016-05-24T00:32:35Z | 2016-05-23T20:45:45Z | CONTRIBUTOR | null | - [x] closes #13149
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
**Update**
1. Float64Index.astype(int) raises ValueError if a NaN is present.
Previously, it converted NaN's to the smallest negative integer.
2. TimedeltaIndex.astype(int) and DatetimeIndex.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13210 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13210/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13210/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13210/events | https://github.com/pandas-dev/pandas/issues/13210 | 155,371,744 | MDU6SXNzdWUxNTUzNzE3NDQ= | 13,210 | Pandas .read_sql_table() not reading a table which SQLalchemy can find | {
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`skus = pd.read_sql_table('ads_skus', SQLALCHEMY_CONN, schema='a')`
I receive the error:
`ValueError: Table ads_skus not found`
However, if I run:
```
i = inspect(SQLALCHEMY_CONN)
for table_name in i.get_table_names(schema='a'):
print(t... | {
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... | closed | false | null | [] | null | 9 | 2016-05-18T02:24:34Z | 2016-05-19T00:39:03Z | 2016-05-18T12:38:20Z | NONE | null | Hi, I am running my own dataset with scikit-learn. My dataset contains '2016/02/28', '20:12:22', '100' and 'string', Date, time, integer and string.
I have successfully parsed the data with Pandas and have reached CLF using SVM to test out.
However, upon clf.fit(X, y), an error was returned ValueError: invalid literal... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13212 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13212/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13212/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13212/events | https://github.com/pandas-dev/pandas/issues/13212 | 155,418,031 | MDU6SXNzdWUxNTU0MTgwMzE= | 13,212 | Empty DataFrame with PeriodIndex doesn't maintain index type on resample | {
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"description"... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-05-18T05:13:41Z | 2016-05-21T14:12:53Z | 2016-05-21T14:12:53Z | CONTRIBUTOR | null | ref: https://github.com/pydata/pandas/pull/13079#discussion_r63645752
``` python
In [5]: pd.DataFrame(index=pd.PeriodIndex([],freq='D')).resample('M').mean().index
Out[5]: Index([], dtype='object')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/13213 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13213/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13213/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13213/events | https://github.com/pandas-dev/pandas/issues/13213 | 155,491,787 | MDU6SXNzdWUxNTU0OTE3ODc= | 13,213 | json_normalize() can't deal with non-ascii characters in unicode keys | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2016-05-18T12:43:27Z | 2016-05-19T13:14:51Z | 2016-05-19T13:14:46Z | CONTRIBUTOR | null | Example code:
``` python
import pandas
import json
testjson = u'''
[{"Ünicøde":0,"sub":{"A":1, "B":2}},
{"Ünicøde":1,"sub":{"A":3, "B":4}}]
'''.encode('utf8')
pd.io.json.json_normalize(json.loads(testjson))
```
Output:
```
Traceback (most recent call last):
File "...lib/python2.7/site-packages/IPython/core/inte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13214 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13214/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13214/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13214/events | https://github.com/pandas-dev/pandas/pull/13214 | 155,493,580 | MDExOlB1bGxSZXF1ZXN0NzA1MjIwMzY= | 13,214 | BUG: Fix #13213 json_normalize() and non-ascii characters in keys | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-05-18T12:52:14Z | 2016-05-19T13:35:41Z | 2016-05-19T13:14:46Z | CONTRIBUTOR | null | - [ ] closes #13213
- [ ] 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/13215 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13215/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13215/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13215/events | https://github.com/pandas-dev/pandas/pull/13215 | 155,493,879 | MDExOlB1bGxSZXF1ZXN0NzA1MjIyNTI= | 13,215 | Bug Fix for #13207. Added empty attribute for 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/13216 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13216/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13216/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13216/events | https://github.com/pandas-dev/pandas/pull/13216 | 155,504,005 | MDExOlB1bGxSZXF1ZXN0NzA1Mjk0Mjg= | 13,216 | BUG: DataFrame.align bug with join keyword (GH13914) | {
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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/13217 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13217/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13217/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13217/events | https://github.com/pandas-dev/pandas/issues/13217 | 155,530,966 | MDU6SXNzdWUxNTU1MzA5NjY= | 13,217 | BUG: groupby, as_index=False still returning group variable as index | {
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... | closed | false | null | [] | {
"closed_at": "2021-07-02T07:59:17Z",
"closed_issues": 2396,
"created_at": "2020-11-11T19:05:43Z",
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"followers_url": "https://api.github.com/users/j... | 9 | 2016-05-18T15:25:39Z | 2021-05-12T13:27:56Z | 2021-05-12T13:27:56Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
```
a = pd.DataFrame({'a':[1,1,2,2], 'b':[1,1,2,2], 'c':[1,1,1,1]})
a.groupby(['a','b'], as_index=False).apply(lambda x: 1)
Out[4]:
a b
1 1 1
2 2 1
dtype: int64
```
#### Expected Output
```
Out[4]:
0 1
1 1
dtype: int64
```
(this is what you get w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13218 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13218/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13218/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13218/events | https://github.com/pandas-dev/pandas/issues/13218 | 155,542,027 | MDU6SXNzdWUxNTU1NDIwMjc= | 13,218 | loffset doesn't work in resample if used with agg() | {
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"description": "resample method",
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```
# Create DF
df = pd.DataFrame(np.random.rand(5,2), columns=list('AB'), index=pd.date_range('2010-01-01 09:00:00', periods=5, freq='s'))
print(df)
A B
2010-01-01 09:00:00 0.283113 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13219 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13219/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13219/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13219/events | https://github.com/pandas-dev/pandas/issues/13219 | 155,547,716 | MDU6SXNzdWUxNTU1NDc3MTY= | 13,219 | Unicode not acceptable input for `usecols` kwarg in `read_csv()` | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-05-18T16:35:22Z | 2016-10-14T17:29:00Z | 2016-06-01T11:13:41Z | NONE | null | I caught this bug while updating from version 0.18.0 to 0.18.1. The kwarg `usecols` no longer accepts unicode column labels.
Example below:
``` python
from io import StringIO
import pandas as pd
s = u'''AAA,BBB,CCC,DDD
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
buff = StringIO(s)
print pd.r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13220 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13220/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13220/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13220/events | https://github.com/pandas-dev/pandas/issues/13220 | 155,557,323 | MDU6SXNzdWUxNTU1NTczMjM= | 13,220 | BUG: .transform('size') should be the same as .transform(len) | {
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... | 12 | 2016-05-18T17:22:25Z | 2019-10-18T01:07:39Z | 2019-10-18T01:07:38Z | NONE | null | ```
import pandas as pd
N = 6
df = pd.DataFrame(data={"size":[0.1]*N,
"group":[None]*N},
index=range(N))
gb = df.groupby(by=['group'])
d2 = gb.transform('sum')
print d2
```
#### Expected Output
```
# not actually sure what should be returned, perhaps just the origi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13221 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13221/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13221/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13221/events | https://github.com/pandas-dev/pandas/issues/13221 | 155,557,716 | MDU6SXNzdWUxNTU1NTc3MTY= | 13,221 | COMPAT: concat of PeriodIndex | {
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"followers_url": "https://api.github... | 5 | 2016-05-18T17:24:41Z | 2018-10-26T08:41:52Z | 2018-10-25T13:31:37Z | CONTRIBUTOR | null | https://github.com/pydata/pandas/blob/master/pandas/tseries/period.py#L920
`return Index(com._concat_compat(to_concat), name=name)`
now should reference `pandas.types.concat._concat_compat`
I _think_ this should probably fail - concat-ing a `PeriodIndex` with other index types?
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https://api.github.com/repos/pandas-dev/pandas/issues/13222 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13222/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13222/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13222/events | https://github.com/pandas-dev/pandas/issues/13222 | 155,560,934 | MDU6SXNzdWUxNTU1NjA5MzQ= | 13,222 | style apply of rows fails for subset list, but works for single row? | {
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```
df = pd.DataFrame([["A", 1],["B", 2]], columns=["Letter", "Number"])
def highlight(s):
return ['background-color: yellow']
df.style.apply(highlight, axis=0, subset=[0])
---------------------------------------------------------------------------
KeyError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13223 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13223/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13223/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13223/events | https://github.com/pandas-dev/pandas/issues/13223 | 155,610,891 | MDU6SXNzdWUxNTU2MTA4OTE= | 13,223 | Resampling with NaT in TimedeltaIndex raises MemoryError | {
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"followers_url": "https://api.github.com/users/jre... | 1 | 2016-05-18T21:56:12Z | 2018-08-09T10:33:35Z | 2018-08-09T10:33:34Z | CONTRIBUTOR | null | `DatetimeIndex` can handle `NaT`:
```
In [2]: dti = pd.DatetimeIndex(['1970-01-01 00:00:00', pd.NaT, '1970-01-01 00:00:02'])
In [3]: pd.DataFrame([2, 3, 5], dti).resample('1s').mean()
Out[3]:
0
1970-01-01 00:00:00 2.0
1970-01-01 00:00:01 NaN
1970-01-01 00:00:02 5.0
```
But `TimedeltaIndex`... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13224 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13224/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13224/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13224/events | https://github.com/pandas-dev/pandas/issues/13224 | 155,611,254 | MDU6SXNzdWUxNTU2MTEyNTQ= | 13,224 | Resampling with NaT in PeriodIndex raises ValueError | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-05-18T21:58:15Z | 2017-10-01T14:55:33Z | 2017-10-01T14:55:33Z | CONTRIBUTOR | null | `PeriodIndex` can't handle `NaT`:
```
In [2]: pi = pd.PeriodIndex(['1970-01-01 00:00:00', pd.NaT, '1970-01-01 00:00:02'], freq='S')
In [3]: pd.DataFrame([2, 3, 5], pi).resample('1s').mean()
...
ValueError: Start and end must not be NaT
```
But `DatetimeIndex` obtained from `PeriodIndex` can:
```
In [4]: pd.DataFram... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13225 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13225/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13225/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13225/events | https://github.com/pandas-dev/pandas/pull/13225 | 155,638,167 | MDExOlB1bGxSZXF1ZXN0NzA2MjYwMTY= | 13,225 | DOC/API: Styler documentation changes | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2016-05-19T01:48:21Z | 2017-04-05T02:06:51Z | 2016-06-18T21:26:02Z | CONTRIBUTOR | null | Closes https://github.com/pydata/pandas/issues/13222, #13225
- Update docstring and notebook on output shapes matching
- Change build process to use nbconvert to execute the notebook and then convert using NBConvert.
Second commit puts some more restrictions on the output of a user's function passed to `.apply`.
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https://api.github.com/repos/pandas-dev/pandas/issues/13226 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13226/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13226/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13226/events | https://github.com/pandas-dev/pandas/issues/13226 | 155,690,513 | MDU6SXNzdWUxNTU2OTA1MTM= | 13,226 | SettingWithCopyWarning while using .loc | {
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... | 6 | 2016-05-19T09:21:19Z | 2021-04-30T05:30:53Z | 2021-04-30T05:30:53Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
df = pd.DataFrame(np.random.randn(6,4), columns=list('ABCD'))
# In ipython-notebook, I'm now just looking at the DF by calling it. This seems to create a view of the DF? If df is not called, the warning doesn't show. It will also show when doing x = df for exa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13227 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13227/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13227/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13227/events | https://github.com/pandas-dev/pandas/issues/13227 | 155,699,572 | MDU6SXNzdWUxNTU2OTk1NzI= | 13,227 | Inconsistent default date ticks for data at different frequencies | {
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Here's a [short notebook](https://gist.github.com/marcinbielecki/9a8c1e3f7900a4761202769aecf746e0) that reproduces the issue. The data at daily, weekly and an... | {
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```
# In 0.17.1:
x = pd.Series(1/3)
x.map(lambda x: str(x)).to_dict()
{0: '0.333333333333'}
x.astype(str).map(lambda x: x).to_dict()
{0: '0.333333333333'}
# In 0.18.1:
x = pd.Series(1/3)
x.map(lambda x: str(x)).to_dict()
{0: '0.3333333333333333'}
x.astype(str).... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13229 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13229/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13229/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13229/events | https://github.com/pandas-dev/pandas/issues/13229 | 155,771,182 | MDU6SXNzdWUxNTU3NzExODI= | 13,229 | DOC: sas & R functionaility | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2016-05-19T15:49:59Z | 2021-04-15T06:49:37Z | 2021-04-15T06:49:28Z | CONTRIBUTOR | null | http://blog.dominodatalab.com/using-r-and-python-for-common-sas-functions/?utm_source=&utm_medium=&utm_campaign=
might be interesting to update `comparison_with_SAS/R` with this.
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https://api.github.com/repos/pandas-dev/pandas/issues/13230 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13230/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13230/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13230/events | https://github.com/pandas-dev/pandas/issues/13230 | 155,799,966 | MDU6SXNzdWUxNTU3OTk5NjY= | 13,230 | Different order in datetime-column using sort_values on multiple columns | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2016-05-19T18:09:42Z | 2020-01-07T23:45:40Z | 2020-01-07T23:45:40Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
#0.17.1:
df = pd.DataFrame([1,2,3,4,5], columns=list('A'), index=pd.date_range('2010-01-01 09:00:00', periods=5, freq='s')).reset_index()
df['date'] = df['index']
del df['index']
df.loc[4,'A'] = 4
df.loc[4,'date'] = pd.NaT
print(df.sort_values(['A','date']))
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https://api.github.com/repos/pandas-dev/pandas/issues/13231 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13231/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13231/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13231/events | https://github.com/pandas-dev/pandas/issues/13231 | 155,804,314 | MDU6SXNzdWUxNTU4MDQzMTQ= | 13,231 | Automatic detection of HDF5 dataset identifier fails when data contains categoricals | {
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... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jr... | 14 | 2016-05-19T18:31:16Z | 2016-06-05T14:08:12Z | 2016-06-05T14:08:12Z | CONTRIBUTOR | null | We use HDF5 to store our pandas dataframes on disk. We only store one dataframe per HDF5, so the feature of pandas.read_hdf() that allows omitting the key when a HDF file contains a single Pandas object is very nice for our workflow.
However, said feature doesn't work when the dataframe saved contains one or more cate... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13232 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13232/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13232/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13232/events | https://github.com/pandas-dev/pandas/issues/13232 | 155,832,725 | MDU6SXNzdWUxNTU4MzI3MjU= | 13,232 | PeriodIndex with float input inconsistency | {
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"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... | 12 | 2016-05-19T20:54:42Z | 2017-03-04T21:15:37Z | 2017-03-04T21:15:37Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
```
pd.PeriodIndex([1.1], freq='M')
# ValueError: Given date string not likely a datetime.
pd.PeriodIndex(np.array([1.1]), freq='M')
# PeriodIndex(['1970-02'], dtype='int64', freq='M'
```
#### Expected Output
Consistently raise or coerce to `Period`
#### output o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13233 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13233/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13233/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13233/events | https://github.com/pandas-dev/pandas/pull/13233 | 155,839,413 | MDExOlB1bGxSZXF1ZXN0NzA3NjgyODg= | 13,233 | BUG: GH13219 Fixed. Allow unicode values in usecol | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2016-05-19T21:27:26Z | 2016-06-01T11:13:44Z | 2016-06-01T11:13:41Z | CONTRIBUTOR | null | - [x] closes #13219
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
This is my first time contributing to this project. Let me know what needs to be improved, especially with regards to the test and the bugfix. It was simpler than I imagined which makes me wan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13234 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13234/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13234/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13234/events | https://github.com/pandas-dev/pandas/pull/13234 | 155,856,779 | MDExOlB1bGxSZXF1ZXN0NzA3ODA5Nzk= | 13,234 | Correct ValueError invalid type promotion exception | {
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"followers_url": "https://api.github.com/users/jr... | 6 | 2016-05-19T23:21:12Z | 2016-05-23T13:05:48Z | 2016-05-23T13:05:43Z | CONTRIBUTOR | null | - [x] closes #12599
- [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/13235 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13235/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13235/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13235/events | https://github.com/pandas-dev/pandas/issues/13235 | 155,905,085 | MDU6SXNzdWUxNTU5MDUwODU= | 13,235 | label keyword argument for resample causes an error when used with a groupby object | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-05-20T07:41:17Z | 2016-05-25T12:14:52Z | 2016-05-25T12:14:52Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
``` Python
import numpy as np
import pandas as pd
index = pd.date_range('2000-01-01', freq='2D', periods=5)
df = pd.DataFrame(index=index, data={'col1':[0,0,1,1,2], 'col2':[1,1,1,1,1]})
df.groupby('col1').resample('1W', label='left').sum()
```
#### The dataframe
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13236 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13236/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13236/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13236/events | https://github.com/pandas-dev/pandas/issues/13236 | 155,922,105 | MDU6SXNzdWUxNTU5MjIxMDU= | 13,236 | COMPAT: .map iterates over python types rather than storage type | {
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```
import pandas as P
S=P.Series([0.6,0.2,15])
```
**pandas 0.18+numpy 0.10**:
```
In [1]: print S.dtype
float64
In [2]: print S.values.dtype
float64
In [3]: print S.map(type)
0 <type 'numpy.float64'>
1 <type 'numpy.float64'>
2 <type 'numpy.float64'>
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https://api.github.com/repos/pandas-dev/pandas/issues/13237 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13237/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13237/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13237/events | https://github.com/pandas-dev/pandas/issues/13237 | 155,953,663 | MDU6SXNzdWUxNTU5NTM2NjM= | 13,237 | cannot safely convert passed user dtype of <f8 for object dtyped data in column *** | {
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"color": "005... | closed | false | null | [] | null | 13 | 2016-05-20T12:37:21Z | 2019-03-18T06:19:53Z | 2016-05-20T12:49:25Z | NONE | null | #### Code Sample, a copy-pastable example if possible
under 64bit windows problem
it's ok on win32 platform ,but it does not work under 64bit,unless I remove the dtype and read the DataFrame and then transform the format asfloat ...
I cant debug into the file
market_head_list = ['TradingDay','ClosePrice']
dt['Tr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13238 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13238/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13238/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13238/events | https://github.com/pandas-dev/pandas/issues/13238 | 155,971,896 | MDU6SXNzdWUxNTU5NzE4OTY= | 13,238 | Resample discards timezone information | {
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```
a = pp.Series(index=pp.DatetimeIndex(['2013-01-01 06:00', '2013-01-01 07:00', '2013-01-02 06:00'],
tz=pytz.timezone('America/Los_Angeles')),
data=[1, 2, 3])
b = a.resampl... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13239 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13239/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13239/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13239/events | https://github.com/pandas-dev/pandas/issues/13239 | 155,999,239 | MDU6SXNzdWUxNTU5OTkyMzk= | 13,239 | nunique Error when called by groupby from an empty dataframe | {
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... | closed | false | null | [] | null | 1 | 2016-05-20T16:14:33Z | 2016-05-20T16:32:58Z | 2016-05-20T16:32:37Z | NONE | null | Initialize a dataframe: (I am using pandas version 0.17.1)
```
import pandas as pd
a=pd.DataFrame({'f':[1,2,3,4]})
```
First if I call nunique from an empty dataframe, I get what I expect:
```
a[a['f']>10]['f'].nunique()
0
```
But If I call nunique from groupby, I get an error:
```
a[a['f']>10].groupby('f')['f'].n... | {
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"de... | closed | false | null | [] | null | 2 | 2016-05-20T17:45:35Z | 2016-05-20T17:50:30Z | 2016-05-20T17:49:55Z | NONE | null | #### Code Sample, a copy-pastable example if possible
a=pd.DataFrame({'f':[1,2,3,4]})
b=pd.DataFrame({'f':[2,3,4,5]})
## pd.merge(a['f'],b,on='f')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/opt/ci1/plus/tc10b/sles11sp2_gcc-4.8.3_x86-64/PythonModules-2.7.8/20160310/lib/python/pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13241 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13241/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13241/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13241/events | https://github.com/pandas-dev/pandas/pull/13241 | 156,023,039 | MDExOlB1bGxSZXF1ZXN0NzA4OTcyNzY= | 13,241 | Fixes resampler for grouping kw bug #13235 | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-05-20T18:25:40Z | 2016-05-25T12:15:02Z | 2016-05-25T12:14:52Z | CONTRIBUTOR | null | - [x] closes #13235
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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... | 7 | 2016-05-20T21:52:40Z | 2020-05-22T03:13:30Z | 2020-05-22T03:13:29Z | MEMBER | null | - [x] `PeriodIndex.freq` (mandatory), #13250
- [x] `DatetimeIndex.tz` (mandatory)
- [x] `DatetimeIndex.freq` (add `check_freq` option with default False, because lots of tests compare op result (lost freq) and expected result created by `date_range` (has freq))
- [x] `TimedeltaIndex.freq` (same as above), #13250
- [x]... | {
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"color": "AD... | closed | false | null | [] | null | 2 | 2016-05-20T21:53:55Z | 2016-05-24T20:06:27Z | 2016-05-24T20:06:27Z | NONE | null | In writing some math code in pandas, I find it necessary to do things like
```
df2 = df.sub(ser, axis='columns')
```
instead of the shorter and more intuitive
```
df2 = df - ser
```
in order to control the axis along which the series is broadcast.
I think it would be a big improvement syntactically if pandas woul... | {
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] | closed | false | null | [] | null | 1 | 2016-05-20T22:53:37Z | 2016-05-20T23:33:52Z | 2016-05-20T23:33:45Z | NONE | null | Pandas's option.get_all_data incorrectly parses the maturity dates for all options, so 2017 options from Yahoo will be parsed to 2020 option. This is because a problem logic to use to_datetime() to convert the date string. A simple and practical fix is to append "20" in front of the string before calling to_datetime(... | {
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```
import pandas as pd
import numpy as np
pn1 = pd.Panel(np.array([1.0], dtype=np.float32, ndmin=3)) # panel of 1.0
pn2 = pd.Panel(np.array([np.nan], dtype=np.float32, ndmin=3)) # panel of nan
print(pd.concat([pn1, pn1]).values.dtype)
print(pd.concat([pn2, pn2])... | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-05-21T06:05:08Z | 2016-05-21T18:46:03Z | 2016-05-21T18:45:57Z | MEMBER | null | #### Code Sample, a copy-pastable example if possible
`Timestamp` subtraction resuts in `Timedelta`
```
pd.Timestamp('2011-01-01') - pd.Timestamp('2010-01-01')
# Timedelta('365 days 00:00:00')
```
But it doesn't when broadcasted to `DataFrame`. It's because `DataFrame` op calls
`_try_corce_results` which coerces the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13249 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13249/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13249/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13249/events | https://github.com/pandas-dev/pandas/pull/13249 | 156,102,647 | MDExOlB1bGxSZXF1ZXN0NzA5NDk4NDE= | 13,249 | TST: check internal Categorical | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-05-21T13:43:29Z | 2016-05-21T23:58:48Z | 2016-05-21T23:58:25Z | MEMBER | null | - [x] closes #13076
- [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/13250 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13250/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13250/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13250/events | https://github.com/pandas-dev/pandas/pull/13250 | 156,102,890 | MDExOlB1bGxSZXF1ZXN0NzA5NDk5NDM= | 13,250 | TST/ERR: Add Period ops tests / fix error message | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-05-21T13:48:54Z | 2016-05-22T00:05:48Z | 2016-05-22T00:05:22Z | MEMBER | null | - [x] related to #13242
closes #13251
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
This must be after #13079.
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https://api.github.com/repos/pandas-dev/pandas/issues/13251 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13251/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13251/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13251/events | https://github.com/pandas-dev/pandas/issues/13251 | 156,104,072 | MDU6SXNzdWUxNTYxMDQwNzI= | 13,251 | TST: assert that IncompatibleFrequency is raise (rather than ValueError) | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2016-05-21T14:16:25Z | 2016-05-22T00:05:22Z | 2016-05-22T00:05:22Z | CONTRIBUTOR | null | https://github.com/pydata/pandas/pull/13079#issuecomment-220780044
just need to make sure that we are raising IncompatibleFrequency as appropriate (and testing explicity for this rather than ValueError) when constructing Periods.
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https://api.github.com/repos/pandas-dev/pandas/issues/13252 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13252/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13252/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13252/events | https://github.com/pandas-dev/pandas/pull/13252 | 156,110,039 | MDExOlB1bGxSZXF1ZXN0NzA5NTM2NTg= | 13,252 | ENH: Allow to_sql to recognize single sql type #11886 | {
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---
This solves #11886
It checks whether the passed dtype variable is a dictionary.
If not, it creates a new dictionary with keys as the columns of the dataframe.
It then passes this dictionary to the pandasSQL_builder.
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https://api.github.com/repos/pandas-dev/pandas/issues/13253 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13253/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13253/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13253/events | https://github.com/pandas-dev/pandas/issues/13253 | 156,124,261 | MDU6SXNzdWUxNTYxMjQyNjE= | 13,253 | BUG: pd.read_csv() fails when usecols contains multibyte unicode values | {
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"followers_url": "https://api.github... | 3 | 2016-05-21T22:18:50Z | 2019-01-21T14:21:32Z | 2019-01-21T14:21:32Z | CONTRIBUTOR | null | See PR: #13233 and pandas/io/tests/parser/usecols.py `test_usecols_with_multibyte_unicode_characters`
#### Code Sample, a copy-pastable example if possible
``` python
import pandas as pd
from pandas.compat import StringIO
s = '''あああ,いい,ううう,ええええ
0.056674973,8,True,a
2.613230982,2,False,b
3.568935038,7,False,a
'''
data... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13254 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13254/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13254/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13254/events | https://github.com/pandas-dev/pandas/issues/13254 | 156,154,168 | MDU6SXNzdWUxNTYxNTQxNjg= | 13,254 | PERF/COMPAT: use kahan summation in .rolling(..).sum() | {
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"followers_url": "https://api.github.com/users/j... | 1 | 2016-05-22T14:15:41Z | 2020-09-15T22:20:49Z | 2020-09-15T22:20:49Z | CONTRIBUTOR | null | from [mailing list](https://groups.google.com/forum/#!topic/pydata/Bl7QLr-Y5Z0)
to avoid imprecision errors as the rolling computations are evaluated marginally (sliding the window and adding new / subtracting old). We tend to accumulate floating point errors.
I looks like just an extra sum and subtract so I think th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13255 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13255/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13255/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13255/events | https://github.com/pandas-dev/pandas/issues/13255 | 156,181,419 | MDU6SXNzdWUxNTYxODE0MTk= | 13,255 | df.groupby(col).resample('x') returning both unstacked or multiindex result | {
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"default": false,
"description": "resample method... | closed | false | null | [] | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2016-05-23T00:13:47Z | 2016-07-08T13:32:53Z | 2016-05-23T12:20:46Z | NONE | null | ``` python
import pandas as pd
from itertools import cycle, islice
N = 4
df = pd.DataFrame(index=pd.date_range('2000', periods=N))
df['col1'] = list(islice(cycle(['A', 'B']), N))
df['col2'] = list(islice(cycle(['a', 'b', 'c']), N))
print(df)
```
returns
```
col1 col2
2000-01-01 A a
2000-01-02 B ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13256 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13256/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13256/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13256/events | https://github.com/pandas-dev/pandas/issues/13256 | 156,219,514 | MDU6SXNzdWUxNTYyMTk1MTQ= | 13,256 | 64bit read_csv with dtype problem | {
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"color": "005... | closed | false | null | [] | null | 1 | 2016-05-23T07:52:07Z | 2016-05-23T12:17:44Z | 2016-05-23T12:17:12Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
test_str = u'1.7976931348623157e+308,1.7976931348623157e+308'
ts_dbl = u'1.7976931348623157e+308'
print np.float64(ts_dbl)
dt={}
tmpio = StringIO(test_str)
market_head_list = [ "ClosePrice", "SettlementPrice"]
dt['ClosePrice']=np.float64
dt['SettlementPrice']=n... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13257 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13257/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13257/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13257/events | https://github.com/pandas-dev/pandas/issues/13257 | 156,247,715 | MDU6SXNzdWUxNTYyNDc3MTU= | 13,257 | Pandas style.set_precision not working as expected | {
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"color": "006b7... | closed | false | null | [] | {
"closed_at": "2020-01-30T12:18:05Z",
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2016-05-23T10:22:41Z | 2019-10-22T01:53:38Z | 2019-10-22T01:53:38Z | NONE | null | I expected the following code to give me a representation of my data that is rounded or truncated to 2 decimals.
```
import pandas as pd
import numpy as np
df = pd.DataFrame(data = np.random.randn(4,4), columns=['A','B','C','D'])
df.style.set_precision(2)
```
However, it will always return 2 digits instead, so for e... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13258 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13258/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13258/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13258/events | https://github.com/pandas-dev/pandas/issues/13258 | 156,272,932 | MDU6SXNzdWUxNTYyNzI5MzI= | 13,258 | COMPAT: box int/floats in __iter__ | {
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"followers_url": "https://api.github.com/users/jr... | 12 | 2016-05-23T12:50:11Z | 2017-11-14T18:36:41Z | 2017-09-12T12:54:54Z | CONTRIBUTOR | null | xref #13236 as `.map` was recently clarified to box ints/floats (and all other dtypes) to python/pandas types (rather than numpy scalars). `__iter__` should do the same (it already is done for datetimelikes), need to add for int/floats.
Furthermore `Series.tolist()` also returns python types (#10904)
This will make... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13259 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13259/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13259/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13259/events | https://github.com/pandas-dev/pandas/issues/13259 | 156,300,360 | MDU6SXNzdWUxNTYzMDAzNjA= | 13,259 | DataFrame.to_csv(quoting=csv.QUOTE_NONNUMERIC) now also quotes numeric values | {
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"color": "00980... | closed | false | null | [] | null | 1 | 2016-05-23T15:03:09Z | 2016-05-23T15:31:48Z | 2016-05-23T15:31:20Z | NONE | null | Somewhere between 0.16.1 and 0.18.1, QUOTE_NONNUMERIC started also quoting numeric values unexpectedly.
```
import csv
df = pandas.DataFrame({
'c_string': ['a', 'b,c'],
'c_int': [42, numpy.nan],
'c_float': [1.0, 3.2],
'c_bool': [True, False],
})
print df.to_csv(quoting=csv.QUOTE_NON... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13260 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13260/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13260/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13260/events | https://github.com/pandas-dev/pandas/issues/13260 | 156,337,688 | MDU6SXNzdWUxNTYzMzc2ODg= | 13,260 | DOC: Strange behavior when combining astype and loc | {
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... | 4 | 2016-05-23T18:37:22Z | 2016-05-26T18:15:44Z | 2016-05-26T18:15:44Z | NONE | null | I am trying to use `astype` together with `loc` to convert just a subset of columns to a specified dtype. However, I can't understand what is actually happening. Is this the expected behavior when combining
`astype` and `loc`?
#### Code Sample, a copy-pastable example if possible
```
import pandas as pd
import numpy ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13261 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13261/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13261/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13261/events | https://github.com/pandas-dev/pandas/pull/13261 | 156,375,429 | MDExOlB1bGxSZXF1ZXN0NzExMjY5NDM= | 13,261 | BUG: remove_unused_categories dtype coerces to int64 | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
```
c = pd.Categorical(['a', 'b'], categories=['a', 'b', 'c'])
c.codes
# array([0, 1], dtype=int8)
# NG, must be int8 dtype
c = c.remove_unused_categories()
c.codes
# array([0, 1])
```
It is because `np.unique` us... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13262 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13262/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13262/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13262/events | https://github.com/pandas-dev/pandas/issues/13262 | 156,376,368 | MDU6SXNzdWUxNTYzNzYzNjg= | 13,262 | ENH: Support mangle_dupe_cols=False in pd.read_csv() | {
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... | 9 | 2016-05-23T21:59:20Z | 2021-08-20T18:42:44Z | null | MEMBER | null | #12935 added full support for duplicate column names (in header or in `names`) by mangling them. While this has been considered _acceptable_ by users, ideally, we would like to not have to mangle them.
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https://api.github.com/repos/pandas-dev/pandas/issues/13263 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13263/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13263/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13263/events | https://github.com/pandas-dev/pandas/pull/13263 | 156,376,390 | MDExOlB1bGxSZXF1ZXN0NzExMjc2NjQ= | 13,263 | TST/CLN: remove np.assert_equal | {
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- [x] passes `git diff upstream/master | flake8 --diff`
Not to use `np.testing.assert_equal`, as `assert_numpy_array_equal` is more strict to check dtypes.
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https://api.github.com/repos/pandas-dev/pandas/issues/13264 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13264/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13264/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13264/events | https://github.com/pandas-dev/pandas/pull/13264 | 156,378,982 | MDExOlB1bGxSZXF1ZXN0NzExMjk1ODI= | 13,264 | TST: assert_dict_equal to check input type | {
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- [x] passes `git diff upstream/master | flake8 --diff`
`assert_dict_equal` now checks input is `dict` instance. Fixed some tests which passes `Series` to it.
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https://api.github.com/repos/pandas-dev/pandas/issues/13265 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13265/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13265/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13265/events | https://github.com/pandas-dev/pandas/issues/13265 | 156,415,229 | MDU6SXNzdWUxNTY0MTUyMjk= | 13,265 | pd.read_html, AttributeError: AttributeError: 'NoneType' object has no attribute 'next_element' | {
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"descript... | closed | false | null | [] | null | 2 | 2016-05-24T04:00:04Z | 2016-05-26T08:02:58Z | 2016-05-24T13:10:22Z | NONE | null | When I try to use `pa.read_html()` to extract data from a html page, I got some error infos.
How to solve this?
Thanks.
#### Code
```
import pandas as pd
url = 'http://data.earthquake.cn/datashare/globeEarthquake_csn.html'
dfs = pd.read_html(html)
dfs
```
#### Some Infos
- `pd.__version__` : `u'0.18.1'`
- `pd.get_opti... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13266 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13266/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13266/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13266/events | https://github.com/pandas-dev/pandas/issues/13266 | 156,462,731 | MDU6SXNzdWUxNTY0NjI3MzE= | 13,266 | style format setting subset loses column titles | {
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"description": "__repr__ of pandas objec... | closed | false | null | [] | null | 13 | 2016-05-24T09:37:29Z | 2021-05-05T19:21:07Z | 2021-05-05T19:21:07Z | NONE | null | See example below. There is no "sex" in the styled table.
```
from IPython.display import display as d
import pandas as pd
df=pd.DataFrame.from_dict(dict(survived=[1,0,0,0,1,1,1,1], sex=["Male", "Female", "Male", "Female",
"Male", "Female","Female", "Fem... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13267 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13267/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13267/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13267/events | https://github.com/pandas-dev/pandas/pull/13267 | 156,500,689 | MDExOlB1bGxSZXF1ZXN0NzEyMTUwNjE= | 13,267 | BUG: Bug in selection from a HDFStore with a fixed format and start and/or stop will now return the selected range | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13268 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13268/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13268/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13268/events | https://github.com/pandas-dev/pandas/issues/13268 | 156,506,487 | MDU6SXNzdWUxNTY1MDY0ODc= | 13,268 | Import error: No module named 'pandas.compat.numpy' | {
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] | closed | false | null | [] | null | 6 | 2016-05-24T13:25:38Z | 2016-05-24T19:00:49Z | 2016-05-24T13:32:24Z | NONE | null | Hi there!
Just installed Anaconda for Windows (pandas 0.18.1, numpy 1.11.0) and cannot fix the following problem, when I am trying to import pandas:
import pandas as pd
Traceback (most recent call last):
File "C:\Users\Username\AppData\Roaming\Python\Python35\site-packages\IPython\core\interactiveshell.py", line 28... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13269 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13269/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13269/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13269/events | https://github.com/pandas-dev/pandas/issues/13269 | 156,538,001 | MDU6SXNzdWUxNTY1MzgwMDE= | 13,269 | Dividing Time-series | {
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] | closed | false | null | [] | null | 1 | 2016-05-24T15:28:55Z | 2016-05-24T15:31:46Z | 2016-05-24T15:31:34Z | NONE | null | Dividing time-series does not work as expected;
#### Code Sample, a copy-pastable example if possible
``` python
ts1 = pd.TimeSeries(range(10))
ts2 = pd.TimeSeries(range(10))
ts1[1:]/ts2[:-1]
```
the output of this operation is:
```
0 NaN
1 1.0
2 1.0
3 1.0
4 1.0
5 1.0
6 1.0
7 1.0
8 1.0
9 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13270 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13270/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13270/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13270/events | https://github.com/pandas-dev/pandas/pull/13270 | 156,538,610 | MDExOlB1bGxSZXF1ZXN0NzEyNDE5ODg= | 13,270 | DOC: fixed typos in GroupBy document | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-05-24T15:31:39Z | 2016-05-24T15:35:02Z | 2016-05-24T15:34:58Z | CONTRIBUTOR | null | - [ ] closes #xxxx
- [ ] 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/13271 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13271/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13271/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13271/events | https://github.com/pandas-dev/pandas/issues/13271 | 156,542,874 | MDU6SXNzdWUxNTY1NDI4NzQ= | 13,271 | DOC: groupby by indexer to 'resample' data | {
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I would like to propose either to expand `.resample` to work on indexes that are integers or to create another method that does the same thing (maybe more general `.upsample` and `.downsample` metho... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13272 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13272/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13272/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13272/events | https://github.com/pandas-dev/pandas/pull/13272 | 156,575,845 | MDExOlB1bGxSZXF1ZXN0NzEyNjg1MDQ= | 13,272 | ENH: support decimal argument in read_html #12907 | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-05-24T18:21:48Z | 2016-05-27T00:15:42Z | 2016-05-27T00:15:29Z | CONTRIBUTOR | null | - [x] closes #12907
- [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/13273 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13273/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13273/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13273/events | https://github.com/pandas-dev/pandas/pull/13273 | 156,598,798 | MDExOlB1bGxSZXF1ZXN0NzEyODUwODc= | 13,273 | improves usability of style calls on axis=1 by automatically creating… | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
… the IndexSlice same as it does for axis=1
```
df = pd.DataFrame(index = ['x', 'y', 'z'])
df['a'] = [1,2,3]
df['b'] = [4,5,6]
df['c'] = [7,8,9]
df
df.style.background_gradient(subset='x', axis=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13274 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13274/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13274/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13274/events | https://github.com/pandas-dev/pandas/pull/13274 | 156,631,375 | MDExOlB1bGxSZXF1ZXN0NzEzMDkwMDM= | 13,274 | BUG, ENH: Improve infinity parsing for read_csv | {
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Bug was traced back via `lib.maybe_convert_numeric` to the `floatify` function in `pandas/src/parse_helper.h`. In addition to correcting the bug and adding tests for it, this PR also moves the `test_inf_parsing` test from `c_parser_only.py` to `common.py` in ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13275 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13275/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13275/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13275/events | https://github.com/pandas-dev/pandas/pull/13275 | 156,649,309 | MDExOlB1bGxSZXF1ZXN0NzEzMjEyMDA= | 13,275 | BUG: Properly validate and parse nrows in read_csv | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-05-25T02:20:41Z | 2016-05-25T12:09:28Z | 2016-05-25T12:09:25Z | MEMBER | null | 1) Allows `float` values for `nrows` for the Python engine
2) Prevents abuse of the `nrows` argument for the CParser (e.g. you can passing `nrows=1.2`)
Closes #10476.
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https://api.github.com/repos/pandas-dev/pandas/issues/13276 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13276/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13276/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13276/events | https://github.com/pandas-dev/pandas/pull/13276 | 156,658,645 | MDExOlB1bGxSZXF1ZXN0NzEzMjc0Mzg= | 13,276 | DOC: Added additional example for groupby by indexer. | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/13277 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13277/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13277/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13277/events | https://github.com/pandas-dev/pandas/pull/13277 | 156,659,232 | MDExOlB1bGxSZXF1ZXN0NzEzMjc4MjU= | 13,277 | clean up PeriodIndex constructor | {
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- [x] tests added / passed
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Material clean up of PeriodIndex constructor, which was doing a few weird things (https://github.com/pydata/pandas/issues/13232#issuecomment-220788816), and generally getting messy.
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https://api.github.com/repos/pandas-dev/pandas/issues/13278 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13278/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13278/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13278/events | https://github.com/pandas-dev/pandas/pull/13278 | 156,662,166 | MDExOlB1bGxSZXF1ZXN0NzEzMjk4MDE= | 13,278 | DOC: Added an example of pitfalls when using astype | {
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- [ ] tests added / passed
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https://api.github.com/repos/pandas-dev/pandas/issues/13279 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13279/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13279/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13279/events | https://github.com/pandas-dev/pandas/issues/13279 | 156,694,989 | MDU6SXNzdWUxNTY2OTQ5ODk= | 13,279 | BUG: pd.crosstab cannot handle series with the same name | {
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... | 10 | 2016-05-25T08:47:58Z | 2017-07-30T22:54:02Z | 2017-07-30T22:54:02Z | NONE | null | the following works fine
> > > c = pd.Series(rand(3))
> > > pd.crosstab(c,c)
however, when giving the series a name, it fails:
> > > c.name='test'
> > > pd.crosstab(c,c)
Traceback (most recent call last):
File "C:\Python35\Lib\site-packages\pandas\indexes\multi.py", line 515, in _get_level_number
'level numbe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13280 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13280/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13280/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13280/events | https://github.com/pandas-dev/pandas/issues/13280 | 156,703,266 | MDU6SXNzdWUxNTY3MDMyNjY= | 13,280 | python pandas changes column value when setting with enlargement | {
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```
>>> import pandas as pd
>>> print pd.__version__
0.17.1
>>> x = pd.DataFrame({"a":["james"], "b":[True], "c":["john"]})
>>> x
a b c
0 james True john
>>> x.loc[1] = None
>>> x
a b ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13281 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13281/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13281/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13281/events | https://github.com/pandas-dev/pandas/issues/13281 | 156,708,037 | MDU6SXNzdWUxNTY3MDgwMzc= | 13,281 | Wrong behaviour of groupby with diff and merge | {
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My debugging efforts showed that this problem is likely related to the "fast_apply" optimisation Pandas uses when using apply().
As shown below, when using string values as grouping key... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13282 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13282/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13282/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13282/events | https://github.com/pandas-dev/pandas/issues/13282 | 156,710,959 | MDU6SXNzdWUxNTY3MTA5NTk= | 13,282 | pandas.show_versions causing malloc_error_break | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-05-25T10:03:45Z | 2016-05-25T17:35:10Z | 2016-05-25T17:35:10Z | CONTRIBUTOR | null | If blosc is installed show_versions() will caused python to produce a malloc_error_break (double free) error on exiting. This can be seen in the travis runs under `source activate pandas && ci/print_versions.py` section but can also be easily replicated on Linux and Mac. The fix for this is to replace imp (which has be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13283 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13283/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13283/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13283/events | https://github.com/pandas-dev/pandas/pull/13283 | 156,722,601 | MDExOlB1bGxSZXF1ZXN0NzEzNzE0MDU= | 13,283 | Change get_dummies() to return columns of dtype=bool instead of np.float64 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13284 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13284/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13284/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13284/events | https://github.com/pandas-dev/pandas/pull/13284 | 156,754,986 | MDExOlB1bGxSZXF1ZXN0NzEzOTM5NzU= | 13,284 | Remove imp and just use importlib to avoid memory error when importin… | {
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"followers_url": "https://api.github.com/users/jr... | 5 | 2016-05-25T13:46:46Z | 2016-05-25T17:35:50Z | 2016-05-25T17:35:10Z | CONTRIBUTOR | null | - [ ] closes #13282
Remove imp from pandas.show_versions() to fix memory problem.
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https://api.github.com/repos/pandas-dev/pandas/issues/13285 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13285/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13285/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13285/events | https://github.com/pandas-dev/pandas/pull/13285 | 156,803,250 | MDExOlB1bGxSZXF1ZXN0NzE0Mjg5MzQ= | 13,285 | COMPAT: extension dtypes (DatetimeTZ, Categorical) are now Singleton cached objects | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-05-25T17:11:32Z | 2016-05-26T16:13:01Z | 2016-05-26T16:13:01Z | CONTRIBUTOR | null | allows for proper is / == comparisons
Had this odd semantic difference as these were really different objects (though they DID hash the same)
This doesn't actually affect any user code.
```
In [1]: from pandas.core import common as com
In [2]: t1 = com.DatetimeTZDtype('datetime64[ns, US/Eastern]')
In [3]: t2 = com.D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13286 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13286/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13286/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13286/events | https://github.com/pandas-dev/pandas/issues/13286 | 156,812,176 | MDU6SXNzdWUxNTY4MTIxNzY= | 13,286 | COMPAT: can we reduce pathological cases in Index comparisons | {
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... | 2 | 2016-05-25T17:55:40Z | 2020-09-21T00:04:38Z | null | CONTRIBUTOR | null | from [SO](http://stackoverflow.com/questions/37444307/equality-of-pandas-index-objects-with-different-dtypes-and-elements/37444423#37444423)
```
In [1]: i1 = pd.DatetimeIndex(['1971-10-01'], dtype='datetime64[ns]', freq=None)
In [2]: i2 = pd.Index([u'100171'], dtype='object')
In [3]: i1
Out[3]: DatetimeIndex(['1971-... | {
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"followers_url": "https://api.github.com/users/j... | 3 | 2016-05-25T20:38:41Z | 2019-06-27T20:39:25Z | 2019-06-27T20:39:25Z | NONE | null | I have the following array of Timestamps:
``` python
ts_array = np.array([[Timestamp('2016-05-02 15:50:00+0000', tz='UTC', offset='5T'),
Timestamp('2016-05-02 15:50:00+0000', tz='UTC', offset='5T'),
Timestamp('2016-05-02 15:50:00+0000', tz='UTC', offset='5T')],
[Timestamp('2016-05-02 17:10:00+00... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13288 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13288/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13288/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13288/events | https://github.com/pandas-dev/pandas/issues/13288 | 156,863,011 | MDU6SXNzdWUxNTY4NjMwMTE= | 13,288 | BUG: DataFrame.describe() breaks with a column index of object type and numeric entries | {
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"followers_url": "https://api.github.com/users/jr... | 7 | 2016-05-25T22:17:16Z | 2016-05-31T14:12:51Z | 2016-05-31T14:12:51Z | CONTRIBUTOR | null | Preparing a commit for another issue in `.describe()`, I encountered this puzzling bug, surprisingly easy to trigger.
#### Symptoms
``` python
df = pd.DataFrame({'A': list("BCDE"), 0: [1,2,3,4]})
df.describe()
# Long traceback listing formatting and internal functions...
ValueError: Buffer dtype mismatch, expected 'Py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13289 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13289/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13289/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13289/events | https://github.com/pandas-dev/pandas/issues/13289 | 156,918,133 | MDU6SXNzdWUxNTY5MTgxMzM= | 13,289 | defining min_itemsize creates "data_columns" | {
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"descript... | closed | false | null | [] | null | 5 | 2016-05-26T07:05:58Z | 2016-05-27T00:50:06Z | 2016-05-26T10:58:22Z | NONE | null | I am trying to write results from a dataframe to hdf using the append (or .to_hdf) function. A few of my columns are large string whose length will vary (around 1k characters). Because its length will vary, I have to set, min_itemsize, for each of the variable columns. I do not want these fields to be treated as data_c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13290 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13290/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13290/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13290/events | https://github.com/pandas-dev/pandas/issues/13290 | 156,925,247 | MDU6SXNzdWUxNTY5MjUyNDc= | 13,290 | combine_first breaks for MultiIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13291 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13291/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13291/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13291/events | https://github.com/pandas-dev/pandas/issues/13291 | 156,945,325 | MDU6SXNzdWUxNTY5NDUzMjU= | 13,291 | format ignored in HDFStore.open | {
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new_store = pd.HDFStore('data/test.h5', format='table')
new_store['df'] = pd.DataFrame(np.random.rand(5,1))
new_store.put('df2', pd.DataFrame(np.random.rand(5,1)), format='table')
print('df stored as table: %s' % new_store.get_storer('df').is_table)
print('df2 stored as table: %s' % new_store.get_storer('df2').is_t... | {
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This throws UnicodeDecodeError in python2
`pd.pivot_table(pd.DataFrame({'foo': [1,2,3]}), index=['foo'], aggfunc=len, margins=True, margins_name=u'Δοκιμή')`
#### Expected Output
Not throwing exception!
#### output of `pd.show_versions()`
<pre>
INSTALLED VERSIONS... | {
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- [x] passes `git diff upstream/master | flake8 --diff`
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https://api.github.com/repos/pandas-dev/pandas/issues/13294 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13294/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13294/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13294/events | https://github.com/pandas-dev/pandas/issues/13294 | 156,972,420 | MDU6SXNzdWUxNTY5NzI0MjA= | 13,294 | ERR: _shallow_copy should assert dtype | {
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```
In [2]: i = Index([0,'A'])
In [3]: i._shallow_copy([0])
Out[3]: Index([0], dtype='int64')
```
We should assert that we have a valid dtype in the constructed object (so should do this in `_simple_new` to avoid these guarantee violations)
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-05-26T12:47:55Z | 2016-05-26T15:47:57Z | 2016-05-26T15:47:57Z | CONTRIBUTOR | null | https://travis-ci.org/pydata/pandas/jobs/132906479#L1631
seems specifying the path wrong?
@TomAugspurger
@jorisvandenbossche
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```
TypeError(ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'')
```
You can prin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13297 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13297/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13297/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13297/events | https://github.com/pandas-dev/pandas/issues/13297 | 157,071,384 | MDU6SXNzdWUxNTcwNzEzODQ= | 13,297 | ENH: EWM Sum? | {
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Now:
``` python
In [4]: pd.Series(range(10)).ewm(span=2).sum()
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-4-8e0e72f35eb3> in <module>()
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https://api.github.com/repos/pandas-dev/pandas/issues/13298 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13298/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13298/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13298/events | https://github.com/pandas-dev/pandas/pull/13298 | 157,074,043 | MDExOlB1bGxSZXF1ZXN0NzE2MjA3NTM= | 13,298 | BUG: Fix describe(): percentiles (#13104), col index (#13288) | {
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"followers_url": "https://api.github.com/users/jr... | 6 | 2016-05-26T20:39:43Z | 2016-05-31T15:48:24Z | 2016-05-31T14:12:51Z | CONTRIBUTOR | null | - [x] closes #13104, #13288
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
BUG #13104:
- Percentiles are now rounded to the least precision that keeps
them unique.
- Supplying duplicates in percentiles will raise ValueError.
BUG #13288
- Fixed a column index ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13299 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13299/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13299/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13299/events | https://github.com/pandas-dev/pandas/issues/13299 | 157,091,734 | MDU6SXNzdWUxNTcwOTE3MzQ= | 13,299 | API: New callable indexing makes storing functions in a Series difficult | {
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``` .python
>>> s = pd.Series([lambda x: x] * 10)
>>> s[s.index > 5] = lambda x: x + 1
```
But now the second line tries to apply the function in the rhs to the elements of the Series, rather than assigning them (and throws... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13300 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13300/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13300/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13300/events | https://github.com/pandas-dev/pandas/pull/13300 | 157,092,051 | MDExOlB1bGxSZXF1ZXN0NzE2MzQwNjc= | 13,300 | TST: split up test_merge | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13302 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13302/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13302/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13302/events | https://github.com/pandas-dev/pandas/issues/13302 | 157,104,029 | MDU6SXNzdWUxNTcxMDQwMjk= | 13,302 | Inconsistent Handling of na_values and converters in read_csv | {
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"description": "read_csv, to_csv",
"... | open | false | null | [] | {
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... | 3 | 2016-05-26T23:58:42Z | 2019-10-21T19:34:18Z | null | MEMBER | null | On `master` (commit <a href="https://github.com/pydata/pandas/commit/40b4bb4bb2a7018ed08025c5c93cd1080a0b5f7f">40b4bb4</a>):
``` python
>>> data = """A
1
CAT
3"""
>>> f = lambda x: x
>>> read_csv(StringIO(data), na_values='CAT', converters={'A': f}, engine='c')
A
0 1
1 CAT
2 3
>>> read_csv(StringIO(data), ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13303 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13303/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13303/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13303/events | https://github.com/pandas-dev/pandas/issues/13303 | 157,123,828 | MDU6SXNzdWUxNTcxMjM4Mjg= | 13,303 | Timezone aware Timestamp.dayofyear does not report correct day | {
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"description": "Timezone data dtype",
... | closed | false | null | [] | {
"closed_at": "2017-05-06T10:20:19Z",
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-05-27T03:40:45Z | 2017-03-20T17:51:28Z | 2017-03-20T17:51:28Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as PD
time_str = '2015-10-01 23:59:00-04:00'
pd_dto = PD.to_datetime(time_str, utc=True).tz_convert('US/Eastern')
actual_yday = pd_dto.date().timetuple().tm_yday
print 'pandas thinks', pd_dto, 'is the', pd_dto.dayofyear, 'yday'
print '... | {
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