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https://api.github.com/repos/pandas-dev/pandas/issues/13604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13604/events | https://github.com/pandas-dev/pandas/issues/13604 | 164,701,550 | MDU6SXNzdWUxNjQ3MDE1NTA= | 13,604 | read_csv: Infers different column types in different runs | {
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#!/usr/bin/env python3
from io import StringIO
import pandas as pd
test_timeseries = """\
2008-02-07 09:40,1032.43
2008-02-07 09:50,1042.54
2008-02-07 10:00,1051.65
"""
df = pd.read_csv(StringIO(test_timeseries), parse_dates=[0],
usecols=['date', 'value'], index_col=0, header=None,
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Cleanup duplicated code paths before fixing some ops related issues.
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https://api.github.com/repos/pandas-dev/pandas/issues/13606 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13606/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13606/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13606/events | https://github.com/pandas-dev/pandas/pull/13606 | 164,720,568 | MDExOlB1bGxSZXF1ZXN0NzY4NzYwOTQ= | 13,606 | CLN: remove radd workaround in ops.py | {
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Remove workaround added in #353. The test added at that time has been passed.
- https://github.com/pydata/pandas/blob/master/pandas/tests/series/test_operators.py#L1264
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This commit suppresses these warnings
warning: comparison of constant -1 with expression\
of type 'PANDAS_DATETIMEUNIT' is always true\
[-Wtautological-constant-out-of-range-compare]
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added tests and fixed missed doc change.
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https://api.github.com/repos/pandas-dev/pandas/issues/13612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13612/events | https://github.com/pandas-dev/pandas/pull/13612 | 164,776,252 | MDExOlB1bGxSZXF1ZXN0NzY5MTAzNTE= | 13,612 | CLN: Removed levels attribute from Categorical | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13613/events | https://github.com/pandas-dev/pandas/issues/13613 | 164,782,515 | MDU6SXNzdWUxNjQ3ODI1MTU= | 13,613 | BUG: to_timedelta still raises with errors='ignore' | {
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```
In [10]: pd.to_timedelta(['apple', '1 day'], errors='ignore')
...
ValueError: unit abbreviation w/o a number
In [12]: pd.to_timedelta(['apple', pd.Timedelta('1day')], errors='ignore')
...
ValueError: unit abbreviation w/o a number
```
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https://api.github.com/repos/pandas-dev/pandas/issues/13614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13614/events | https://github.com/pandas-dev/pandas/pull/13614 | 164,804,444 | MDExOlB1bGxSZXF1ZXN0NzY5Mjk5Nzc= | 13,614 | ENH: Allow to_sql to recognize single sql type (GH11886) | {
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Closes https://github.com/pydata/pandas/issues/11886
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https://api.github.com/repos/pandas-dev/pandas/issues/13615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13615/events | https://github.com/pandas-dev/pandas/issues/13615 | 164,810,382 | MDU6SXNzdWUxNjQ4MTAzODI= | 13,615 | Add option to use Standard SQL dialect in BigQuery | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13616 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13616/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13616/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13616/events | https://github.com/pandas-dev/pandas/pull/13616 | 164,830,294 | MDExOlB1bGxSZXF1ZXN0NzY5NDg1OTc= | 13,616 | CLN: remove deprecated io.sql uquery and tquery functions | {
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```
In [1]: rng = pd.date_range('20130101', periods=10, freq='T')
...: ts = pd.Series(np.arange(len(rng)), index=rng)
In [3]: r = ts.resample('2T')
In [4]: r
Out[4]: c:\users\vdbosscj\scipy\ipython-joris\IPython\utils\dir2.py:65: FutureWa
rning: .resample() is now a deferred operation
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- [x] passes `git diff upstream/master | flake8 --diff`
`merge`, `join` and `concat` related tests are mixed each other. Cleaned up these tests.
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"... | closed | false | null | [] | null | 3 | 2016-07-11T17:01:56Z | 2016-07-11T18:21:11Z | 2016-07-11T18:21:10Z | NONE | null | I am curious if there would be any interest in having COMTRADE import functionality in core pandas. This is a file format used to record electrical transient measurements in a power system. It is defined by [IEEE C37.111](https://en.wikipedia.org/wiki/Comtrade). I have an implementation that reads the files and creates... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13621 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13621/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13621/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13621/events | https://github.com/pandas-dev/pandas/pull/13621 | 164,886,308 | MDExOlB1bGxSZXF1ZXN0NzY5ODg2MTA= | 13,621 | TST: Move plotting related tests to tests/plotting | {
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- [x] tests passed
- [x] passes `git diff upstream/master | flake8 --diff`
Because `test_graphics` is getting huge, split them based on data types under `tests/plotting` to make visualization related tests easier.
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https://api.github.com/repos/pandas-dev/pandas/issues/13622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13622/events | https://github.com/pandas-dev/pandas/pull/13622 | 164,916,059 | MDExOlB1bGxSZXF1ZXN0NzcwMDk4NjU= | 13,622 | ENH: DataFrame sort columns by rows: sort_values(axis=1) | {
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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/13623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13623/events | https://github.com/pandas-dev/pandas/issues/13623 | 164,939,538 | MDU6SXNzdWUxNjQ5Mzk1Mzg= | 13,623 | ERR: disallow read_hdf mode='w' | {
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I believe this behavior is undesired, because deleting data is a side effect that no method called `read_anything` should have. The fact that a mode argument is even accepted is not documented anywhere. I just lost some experimental data this way... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13624/events | https://github.com/pandas-dev/pandas/pull/13624 | 164,959,416 | MDExOlB1bGxSZXF1ZXN0NzcwMzc4MjQ= | 13,624 | BUG: Invalid Timedelta op may raise ValueError | {
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- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
`Timedelta` op may raise `ValueError` for invalid inputs because of internal conversion.
```
pd.Timedelta('1 days') + 'a'
# ValueError: unit abbreviation w/o a number
```
Now it raises `TypeError`.
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https://api.github.com/repos/pandas-dev/pandas/issues/13625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13625/events | https://github.com/pandas-dev/pandas/pull/13625 | 164,964,496 | MDExOlB1bGxSZXF1ZXN0NzcwNDE0MTY= | 13,625 | BUG: Handle infinite values correctly in Series.argmax | {
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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/13626 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13626/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13626/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13626/events | https://github.com/pandas-dev/pandas/issues/13626 | 164,996,726 | MDU6SXNzdWUxNjQ5OTY3MjY= | 13,626 | BUG/API: Index/Series concat inconsistencies | {
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-07-12T05:25:53Z | 2016-09-03T09:20:29Z | 2016-09-03T09:20:29Z | MEMBER | null | xref #7795 #13221. Series/Index concat-like op which triggers object-coercion is not well tested. Followings are needed:
- Refactor `concat` internal to make it consistent / stabled.
- Add comprehensive tests to cover both Index/Series object-coercion cases
#### Code Sample, a copy-pastable example if possible
Foun... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13627/events | https://github.com/pandas-dev/pandas/pull/13627 | 164,999,182 | MDExOlB1bGxSZXF1ZXN0NzcwNjQ1Njk= | 13,627 | CLN: Removed outtype in DataFrame.to_dict | {
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Fortunately or unfortunately, no tests were written then to test the deprecation, so there was nothing to remove from the test suite this time around.
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https://api.github.com/repos/pandas-dev/pandas/issues/13628 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13628/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13628/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13628/events | https://github.com/pandas-dev/pandas/issues/13628 | 165,024,603 | MDU6SXNzdWUxNjUwMjQ2MDM= | 13,628 | Fillna a categories series with another series breaks | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2016-07-12T08:46:03Z | 2019-08-16T12:14:43Z | 2019-08-16T12:14:43Z | NONE | null | On pandas 0.18.1, for some values of `a, b`
#### Code Sample
`pd.Categorical([1,2,None, None]).fillna(pd.Series([1,1, a, b]))
`
#### Expected Output
Either the same as
`pd.Categorical([1, 2, a, b])`
or
`ValueError: fill value must be in categories`
If a or b do not match the categories. This is what whe get whe... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13629 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13629/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13629/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13629/events | https://github.com/pandas-dev/pandas/issues/13629 | 165,068,908 | MDU6SXNzdWUxNjUwNjg5MDg= | 13,629 | BUG: Binned groupby median function calculates median on empty bins and outputs random numbers | {
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... | 3 | 2016-07-12T12:33:36Z | 2016-09-18T15:57:27Z | 2016-09-18T15:57:27Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
d = pd.DataFrame([1,2,5,6,9,3,6,5,9,7,11,36,4,7,8,25,8,24])
b = [0,5,10,15,20,25,30,35,40,45,50,55]
g = d.groupby(pd.cut(d[0],b))
print g.mean()
print g.median()
print g.get_group('(0, 5]').median()
print g.get_group('(40, 45]').median()
```... | {
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"followers_url": "https://api.github.com/users/jr... | 11 | 2016-07-12T17:41:50Z | 2016-07-19T02:00:46Z | 2016-07-19T01:59:54Z | CONTRIBUTOR | null | - [x] closes #13536
- [x] closes #13535
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
Add support for writing variable labels
Fix documentation for to_stata
Clean up function name to improve readability
closes #13536
closes #13535
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- [x] whatsnew entry
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established a bit of a public api in `pandas.api`; ATM this only contains the type introspection routines.
## 1st question
Some disagreement on whether we should not do this, and rather just expose `pandas.types` directly.
I think `pandas.api` is actually very important because:
1) limits scope of wh... | {
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... | 1 | 2016-07-13T02:08:02Z | 2019-07-13T12:04:22Z | 2019-07-13T12:04:22Z | CONTRIBUTOR | null | xref #13147
ideally add doc-strings and add to API.rst? for the introspectors
these are pretty intuitve (e.g. `is_integer`), but have some nuances that
doc-strings (and an example) would be useful.
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Yahoo seems to have changed their site design as I no longer can pull any options data with panda.
Does anyone else experience this?
Here's what's called:
#### Code Sample, a copy-pastable example if possible
# !/usr/bin/python
import sys, getopt
import pandas as pd
import numpy as np
from pandas.io.data impo... | {
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... | 10 | 2016-07-13T04:15:37Z | 2021-05-01T22:35:22Z | null | MEMBER | null | xref #1134. There is another inconsistencies related to op. `Index/Series/DataFrame` op can accept 1-d list-like as input and coercing to `Index/Series`. However, supported 1-d list-likes differ depending on the class and kind of op.
#### Code Sample, a copy-pastable example if possible
```
# Series + equal length lis... | {
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@jorisvandenbossche
@TomAugspurger
@sinhrks
I just restarted the build, but failed the same way.
version change?
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https://api.github.com/repos/pandas-dev/pandas/issues/13640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13640/events | https://github.com/pandas-dev/pandas/pull/13640 | 165,334,174 | MDExOlB1bGxSZXF1ZXN0NzcyOTgxMTE= | 13,640 | BLD: included pandas.api.* in setup.py | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry: imho not worth it?
origin: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=827938
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But if you go to http://pandas.pydata.org/pandas-docs/stable/api.html, it is not in the sidebar or list of all methods.
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This commit suppresses these warnings
warning: implicit conversion from enumeration type\
'NPY_DATETIMEUNIT' to different enumeration type\
'PANDAS_DATETIMEUNIT' [-Wenum-conversion]
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I have a column of datetimes which I'm trying to group by moving them to the last day of the calendar quarter. However, I think when the datetime is on the last day of the quarter, It doesn't work.
#### Code Sample, a copy-pastable example if possible
```
In [8]: pd.Series(pd.DatetimeIndex(['2016-06-30 12:32']... | {
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```
import pandas as pd
import numpy as np
index=list(range(8))
columns=pd.MultiIndex.from_product([['alpha', 'beta',], ['C','D'],[1,2]], names=['first', 'second','third'])
df1=pd.DataFrame(index=index,columns=columns,data=np.random.rand(8,8))
df2=pd.DataFrame(ind... | {
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tuples are not being upcast like lists.
```
======================================================================
FAIL: test_alignment_non_pandas (pandas.tests.frame.test_operators.TestDataFrameOperators)
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https://api.github.com/repos/pandas-dev/pandas/issues/13647 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13647/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13647/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13647/events | https://github.com/pandas-dev/pandas/pull/13647 | 165,424,955 | MDExOlB1bGxSZXF1ZXN0NzczNjQyNzQ= | 13,647 | DOC/BLD: pin IPython version to 4.2.0 (#13639) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13648 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13648/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13648/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13648/events | https://github.com/pandas-dev/pandas/issues/13648 | 165,433,850 | MDU6SXNzdWUxNjU0MzM4NTA= | 13,648 | Categorical.from_codes warns if `None` is in categories | {
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"color": "ffa0ff"... | closed | false | null | [] | null | 7 | 2016-07-13T22:13:25Z | 2017-03-27T12:00:04Z | 2017-03-26T14:40:10Z | CONTRIBUTOR | null | Born from a gitter conversation with @jorisvandenbossche and @jreback.
As of https://github.com/pydata/pandas/issues/10748, it's deprecated to have `np.NaN` as a category label. The deprecation warning also fires if `None` is a category, but it's unclear whether this is intended behavior, and the error message explic... | {
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"color": "0b02e1",
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"description": "Related to indexing on s... | open | false | null | [] | {
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... | 6 | 2016-07-14T01:30:40Z | 2021-05-01T22:41:53Z | null | NONE | null | #### Code Sample, a copy-pastable example if possible
``` python
from io import StringIO
from pandas import read_csv
dtf = read_csv(StringIO("DATE_TIME,A\n2/8/2015 6:00:30,1"))
print(dtf)
dtf.set_index(dtf.DATE_TIME, drop=True, inplace=True)
print(dtf.columns)
print(dtf)
```
#### Current output
``` python
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https://api.github.com/repos/pandas-dev/pandas/issues/13650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13650/events | https://github.com/pandas-dev/pandas/issues/13650 | 165,503,587 | MDU6SXNzdWUxNjU1MDM1ODc= | 13,650 | combine_first loses index type information with MultiIndices and different timezones | {
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2016-07-14T08:17:48Z | 2016-07-14T20:12:35Z | 2016-07-14T10:00:06Z | CONTRIBUTOR | null | See title and example below. I believe this is due to the fact that combination of indices with different timezones first converts to object dtype, then rebases all timestamps to UTC for comparison and then constructs a DatetimeIndex from that. However, this doesn't seem to be applied for the individual levels in a Mul... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13651 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13651/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13651/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13651/events | https://github.com/pandas-dev/pandas/issues/13651 | 165,517,361 | MDU6SXNzdWUxNjU1MTczNjE= | 13,651 | `df.to_hdf(...format='table')` writes in different format than I'd expect, having used pytables before. | {
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"descript... | closed | false | null | [] | null | 1 | 2016-07-14T09:27:30Z | 2016-07-14T10:15:59Z | 2016-07-14T10:10:55Z | NONE | null | I'm dissatisfied with the current way `DataFrame.to_hdf(...format='table')` works. Take this simple example:
``` python
import numpy as np
import pandas as pd
import tables
data = {
'foo': np.zeros(5, dtype=float),
'bar': np.ones(5, dtype=float),
'baz': 2 * np.ones(5, dtype=float),
}
df = pd.DataFrame.fro... | {
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"followers_url": "https://api.github.com/users/jr... | 17 | 2016-07-14T10:59:43Z | 2016-07-20T21:54:09Z | 2016-07-20T21:54:09Z | CONTRIBUTOR | null | #### Code Sample, a copy-pastable example if possible
``` python
import pandas
import codecs
import traceback
import sys
pandas.show_versions()
print("Pandas version: {}\n".format(pandas.__version__))
print("Python version: {}\n".format(sys.version_info))
def build_stream():
filename = "tests/data/sauron.SHIFT_... | {
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"followers_url": "https://api.github.com/users/j... | 4 | 2016-07-14T13:16:54Z | 2020-09-30T02:04:41Z | 2020-09-30T02:04:41Z | NONE | null | When running `to_string` on a Series with empty strings at the beginning and end of the Series data, the empty strings are removed from the resulting output. These empty strings should be included to represent the empty data.
#### Code Sample:
``` python
import pandas as pd
pd.Series(["", "Hello", "World", "", "", "Mo... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-14T13:22:27Z | 2016-11-28T09:48:59Z | 2016-11-28T09:48:59Z | NONE | null | #### Code Sample, a copy-pastable example if possible
```
import pandas as pd
f = pd.read_sas('test.sas7bdat', iterator=True)
for chunk in f:
print(f)
---------------------------------------------------------------------------
AbstractMethodError Traceback (most recent call last)
<ipython-i... | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2016-07-14T16:02:18Z | 2019-11-13T01:27:53Z | 2019-11-13T01:27:53Z | MEMBER | null | When doing `.loc(axis=1)[...]`, this only works when indexing into multiple levels. Here an example with a MultiIndex column:
```
In [23]: df = pd.DataFrame(np.arange(27).reshape(3, 9), columns=pd.MultiIndex.from_product([['a1', 'a2', 'a3'], ['b1', 'b2', 'b3']]))
In [24]: df
Out[24]:
a1 a2 a3
... | {
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] | closed | false | null | [] | null | 4 | 2016-07-14T16:15:04Z | 2016-11-16T22:21:26Z | 2016-11-16T22:21:25Z | NONE | null | - [ ] closes #xxxx
- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
I ran into this error with my code and the error message didn't help me figure out I was dealing with duplicate columns that couldn't be handled. I think this is more helpful
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``` py
# add color gradient to column(s)
import numpy as np
import math
from pandas import *
from IPython.display import display, HTML
# color gradient
COLORS = ["#F1F2B5", "#CCD7A5", "#A7BC96", "#82A186", "#5D8677", "#386B67", "#135058"]
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Assignment to multiple columns of a :class:`DataFrame` when some of the columns do not exist would previously assign the values to the last column. Now, new columns would be constructed with the right values.
.. ipython:: python
df = pd.DataFrame({'a': [0, 1, 2], 'b': [3, 4, 5]})
df
*Previous beha... | {
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```
In [1]: df1 = pd.DataFrame(np.random.rand(5,2))
df2 = pd.DataFrame(np.random.rand(5,2))
In [2]: df2.join(df1)
Out[2]: ---------------------------------------------------------------------------
ValueError: columns overlap but no suffix specified: Range... | {
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closes #7795
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
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Just a WIP for now, I want to cleanup how I handle the errorbar changes.
Will wait for a matplotlib RC before changing the Travis matrix I suppose?
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This improve `Period` handling a little.
- normal `Index` constructor can accept:
- `Period` and `NaT` mixed input (result is `PeriodIndex`) `Period` version of #13477)
- `Period` with multiple freq (result is `... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13665 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13665/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13665/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13665/events | https://github.com/pandas-dev/pandas/issues/13665 | 165,802,839 | MDU6SXNzdWUxNjU4MDI4Mzk= | 13,665 | merge of sparse dataframe fails | {
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"de... | closed | false | null | [] | null | 7 | 2016-07-15T14:43:01Z | 2019-09-18T14:02:16Z | 2019-09-18T14:02:16Z | NONE | null | This works fine:
```
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
df2 = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
df.merge(df2, how="left", on="A")
```
This fails with "TypeError: type object argument after \* must be a sequence, not map"
```
df = p... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13666 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13666/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13666/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13666/events | https://github.com/pandas-dev/pandas/issues/13666 | 165,844,182 | MDU6SXNzdWUxNjU4NDQxODI= | 13,666 | groupby.nth() labelling conventions changed from 0.17 -> 0.18 | {
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... | open | false | null | [] | null | 6 | 2016-07-15T17:59:52Z | 2021-05-01T22:45:22Z | null | CONTRIBUTOR | null | In pandas 0.17.1, grouping a DatetimeIndex with monthly frequency produced labels keyed at the start of the month, and `nth()` produces a label keyed by the selected row. In 0.18, we unconditionally return groups labelled by the end of the month.
#### Old Pandas
```
In [25]: pd.__version__
Out[25]: u'0.17.1'
In [26]... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13667 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13667/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13667/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13667/events | https://github.com/pandas-dev/pandas/issues/13667 | 165,894,984 | MDU6SXNzdWUxNjU4OTQ5ODQ= | 13,667 | Obtaining options data from yahoo is broken | {
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#### Code Sample, a copy-pastable example if possible
from pandas.io.data import Options
aapl = Options('aapl', 'yahoo')
data = aapl.get_all_data()
#### Expected Output
AAPL options data for n... | {
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#### Code Sam... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13674 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13674/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13674/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13674/events | https://github.com/pandas-dev/pandas/issues/13674 | 165,938,820 | MDU6SXNzdWUxNjU5Mzg4MjA= | 13,674 | error_bad_lines = False is not ignoring ValueError | {
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2016.07.03 09:43:38\t0.01055556\t16.146\t26.9444444444444\n
2016.07.03 09:43:43\t0.01194444\t16.146\t26.9883333333333\n
2016.07.03 09:43:48\t0.01333333\t16.105\t27.0383333333333\n
2016.07.03 09:43:53\t0.01472222\t16... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13675 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13675/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13675/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13675/events | https://github.com/pandas-dev/pandas/pull/13675 | 165,940,372 | MDExOlB1bGxSZXF1ZXN0Nzc3MTU2MTM= | 13,675 | DOC: resample warnings | {
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
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Prevents warnings triggered by IPython by matching against `'_repr'` or `'_ipython'`, and expands the `resample` warning message to indicate what caused the deferred object to be m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13676 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13676/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13676/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13676/events | https://github.com/pandas-dev/pandas/pull/13676 | 165,943,218 | MDExOlB1bGxSZXF1ZXN0Nzc3MTcxMTQ= | 13,676 | TST: assert message shows unnecessary diff | {
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removed unnecessary trailing `None`.
```
pd.util.testing.assert_index_equal(pd.Index([1, 2, 3]), pd.Index([1 ,2, 4]))
# AssertionError: Index are different
#
# Index values are different (33.33333 %)
# [left]: Int64Index([1, 2, 3], dtype='int64')
# [right]: I... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13677 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13677/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13677/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13677/events | https://github.com/pandas-dev/pandas/pull/13677 | 165,943,428 | MDExOlB1bGxSZXF1ZXN0Nzc3MTcyMjI= | 13,677 | ENH: Series.append now has ignore_index kw | {
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- [x] passes `git diff upstream/master | flake8 --diff`
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not sure if there is any reason we haven't supported...
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https://api.github.com/repos/pandas-dev/pandas/issues/13678 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13678/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13678/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13678/events | https://github.com/pandas-dev/pandas/pull/13678 | 165,945,046 | MDExOlB1bGxSZXF1ZXN0Nzc3MTgwNzA= | 13,678 | Add reference of DataFrame.rename_axis and Series.rename_axis to api.rst | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13679 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13679/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13679/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13679/events | https://github.com/pandas-dev/pandas/pull/13679 | 165,947,254 | MDExOlB1bGxSZXF1ZXN0Nzc3MTkyNjY= | 13,679 | Merge pull request #1 from pydata/master | {
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Merge from pydata master
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https://api.github.com/repos/pandas-dev/pandas/issues/13680 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13680/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13680/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13680/events | https://github.com/pandas-dev/pandas/pull/13680 | 165,951,249 | MDExOlB1bGxSZXF1ZXN0Nzc3MjE1NDg= | 13,680 | COMPAT: use mpl area legend if available | {
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Do not use area legend workaround if mpl >= 1.5.0 is available. Legends are now displayed properly if mpl >= 1.5.0.
#9161:
```
df = pd.DataFrame(np.random.rand(10, 3))
df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13681 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13681/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13681/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13681/events | https://github.com/pandas-dev/pandas/issues/13681 | 165,951,524 | MDU6SXNzdWUxNjU5NTE1MjQ= | 13,681 | Decide recommended version of optional packages | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-07-16T23:03:38Z | 2017-09-23T21:08:40Z | 2017-09-23T21:08:40Z | MEMBER | null | For these optional deps, pandas doesn't specify the supported versions. Therefore, pandas needs some codes to support older ones.
- scipy
- matplotlib
- openpyxl
I don't think we need strict support version policy for these packages, but how about once decide "recommended versions", and show warnings if user env does... | {
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I changed the template function to use the _desc_ instead of the _name_ in generic.py.
SIDENOTE: I accidentally committed to a branch with another PR, so I rebased without it and created a new branch with this commit.
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https://api.github.com/repos/pandas-dev/pandas/issues/13684 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13684/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13684/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13684/events | https://github.com/pandas-dev/pandas/issues/13684 | 165,968,609 | MDU6SXNzdWUxNjU5Njg2MDk= | 13,684 | DataFrame.__repr__ raises TypeError after pd.show_versions() was run | {
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"followers_url": "https://api.github.com/users/jr... | 14 | 2016-07-17T09:25:59Z | 2016-09-01T07:28:54Z | 2016-09-01T07:28:54Z | CONTRIBUTOR | null | Maybe one of the imports in `show_versions` has unwanted side effects?
``` python
>>> import pandas as pd
>>> pd.DataFrame({'spam': range(10)})
spam
0 0
1 1
2 2
3 3
4 4
5 5
6 6
7 7
8 8
9 9
>>> pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13685 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13685/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13685/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13685/events | https://github.com/pandas-dev/pandas/issues/13685 | 165,975,518 | MDU6SXNzdWUxNjU5NzU1MTg= | 13,685 | Keyerror if set_index list | {
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```
import pandas as pd
import numpy as np
df = pd.DataFrame({'A':[1,2],
'B':[3,4],
'C':[5,6]}, index=['a','b'])
print (df)
A B C
a 1 3 5
b 2 4 6
```
This works nice:
```
L = ['c','d']
df = df.set_index(np.array(L))
print (df)
A B C
c 1 3 5
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- [ ] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
pd.NaT, None, float('nan') and np.nan are
converted NaT in TestTimedeltas.
So we should convert keys if keys are these value.
Fix #13603
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- [ ] tests added / passed
- [ ] passes `git diff upstream/master | flake8 --diff`
- [ ] whatsnew entry
Added scroll to top feature to documentation div.footer using Sphinx template
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"followers_url": "https://api.github.com/users/jr... | 4 | 2016-07-17T19:24:26Z | 2016-07-19T01:11:36Z | 2016-07-19T01:11:18Z | CONTRIBUTOR | null | - [x] closes #13598
- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
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```
In [2]: s = pd.Series(0, index=pd.MultiIndex.from_product([[0], [1,2]]))
In [3]: s.loc[[]]
Out[3]: Series([], dtype: int64)
In [4]: s = pd.Series(0, index=pd.MultiIndex.from_product([[0], [1,1]]))
In [5]: s.loc[[]]
------------------------------------------... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13692 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13692/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13692/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13692/events | https://github.com/pandas-dev/pandas/pull/13692 | 166,087,406 | MDExOlB1bGxSZXF1ZXN0Nzc4MDM2MDI= | 13,692 | PERF: improve DTI string parse | {
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- [x] tests added / passed
- [x] passes `git diff upstream/master | flake8 --diff`
- [x] whatsnew entry
cleaned up `DatetimeIndex` constructor removing slower string-parsing path.
## Performance Improvement
related to #7599, internally use `to_datetime` always as it tries some fastp... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13693 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13693/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13693/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13693/events | https://github.com/pandas-dev/pandas/pull/13693 | 166,110,527 | MDExOlB1bGxSZXF1ZXN0Nzc4MTk5MTM= | 13,693 | Test case for patch, plus fix to not swallow exceptions | {
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"followers_url": "https://api.github.com/users/jr... | 11 | 2016-07-18T14:43:01Z | 2016-07-20T21:54:19Z | 2016-07-20T21:54:09Z | CONTRIBUTOR | null | - [x] closes #13652
- [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/13694 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13694/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13694/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13694/events | https://github.com/pandas-dev/pandas/issues/13694 | 166,121,686 | MDU6SXNzdWUxNjYxMjE2ODY= | 13,694 | to_excel function not working as expected | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2016-07-18T15:29:17Z | 2016-07-21T16:18:59Z | 2016-07-18T20:40:24Z | NONE | null | #### Code Sample, a copy-pastable example if possible
to_excel function displays datetime types incorrectly in Excel
before: datetime64[ns] - 2016-09-28 (seconds removed)
after saving in excel file via - to_excel -> shows up as 2016-09-28 00:00:00 in excel (00:00:00 is added for no reason)
#### Expected Output
2016-0... | {
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"followers_url": "https://api.github.com/users/jr... | 1 | 2016-07-18T18:38:35Z | 2016-07-19T01:16:41Z | 2016-07-19T01:16:41Z | CONTRIBUTOR | null | Using these DataFrames for this example:
```
df1 = pd.DataFrame({'time':pd.to_datetime(['2016-07-15 13:30:00.030']), 'username':['bob']})
df2 = pd.DataFrame({'time':pd.to_datetime(['2016-07-15 13:30:00.000', '2016-07-15 13:30:00.030']), 'version':[1, 2]})
```
I can perform the `pd.merge_asof()` as expected:
```
In [... | {
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... | 4 | 2016-07-18T19:40:13Z | 2019-05-13T04:03:03Z | 2019-05-13T04:03:02Z | CONTRIBUTOR | null | First, assigning a shorter Categorical into a longer DataFrame does something strange:
```
import pandas as pd
df = pd.DataFrame({'a': [1, 2, 3]})
df['b'] = 4
df['c'] = pd.Series([5, 6, 7, 8])
df['d'] = pd.Series([9])
df['e'] = pd.Categorical('foo')
```
If you `print df` it looks reasonable:
```
a b c d e... | {
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I have a dataframe with two columns `start` and `end` both have the dtype of `datetime64[ns, tzoffset(None, -21600)]` but depending on how I access it the output removes the timezone info for for example
```
df.ix[0, 'end']
Out[30]: Timestamp('2016-07-17 06:26:00'... | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2016-07-18T21:41:52Z | 2016-07-19T01:16:41Z | 2016-07-19T01:16:41Z | CONTRIBUTOR | null | closes #13695
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"followers_url": "https://api.github.com/users/jorisva... | 4 | 2016-07-19T00:41:52Z | 2019-09-05T13:16:20Z | 2016-07-19T01:25:53Z | CONTRIBUTOR | null | I was wondering if, given the recent set of developments and improvements to `asfreq` and `resample`, we now have a more efficient method for solving [this problem](http://stackoverflow.com/questions/29356412/efficiently-re-indexing-one-level-with-forward-fill-in-a-multi-index-dataframe) [from SO].
Example:
```
item_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13700/events | https://github.com/pandas-dev/pandas/issues/13700 | 166,228,165 | MDU6SXNzdWUxNjYyMjgxNjU= | 13,700 | Sparse sampling timestamps with filling | {
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"followers_url": "https://api.github.com/users/jorisva... | 10 | 2016-07-19T01:20:36Z | 2016-07-19T04:42:29Z | 2016-07-19T01:22:23Z | CONTRIBUTOR | null | Consider the following DataFrame:
```
0F001tTt1Q 0F00dqgq6a 0F00ewG3TT
1911-01-01 00:00:00.000000 complete no_creatives complete
2016-07-11 04:14:55.281017 None None None
2016-07-11 04:14:55.836767 None None None
2016-07-11 04:14:56.379465 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13701 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13701/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13701/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13701/events | https://github.com/pandas-dev/pandas/pull/13701 | 166,252,699 | MDExOlB1bGxSZXF1ZXN0Nzc5MjA1MDg= | 13,701 | CLN: Removed the return_type param in StringMethods.split | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13702 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13702/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13702/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13702/events | https://github.com/pandas-dev/pandas/pull/13702 | 166,264,241 | MDExOlB1bGxSZXF1ZXN0Nzc5Mjg2MDk= | 13,702 | MAINT: Removed some warnings in tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13703 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13703/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13703/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13703/events | https://github.com/pandas-dev/pandas/issues/13703 | 166,291,938 | MDU6SXNzdWUxNjYyOTE5Mzg= | 13,703 | Unexpected segmentation fault in pd.read_csv C-engine | {
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"followers_url": "https://api.github.com/users/jr... | 6 | 2016-07-19T09:54:15Z | 2016-07-27T10:50:08Z | 2016-07-27T10:49:48Z | CONTRIBUTOR | null | Dear developers,
I am using pandas in an application where I need to process large **csv** files (around 1Gb each) which have approximately 800k records and 400+ columns of mixed type. That is why I decided to use data iterator functionality of **pd.read_csv()**. When experimenting with `chunksize` my application seem... | {
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