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https://api.github.com/repos/pandas-dev/pandas/issues/3901 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3901/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3901/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3901/events | https://github.com/pandas-dev/pandas/issues/3901 | 15,549,926 | MDU6SXNzdWUxNTU0OTkyNg== | 3,901 | Pandas: AttributeError: 'numpy.ndarray' object has no attribute 'start' | {
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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from datetime import time
data = pd.read_csv('/temp/zondata/pvlog.csv', delimiter=';', parse_dates=True, index_col=1)
Gewenst = data['T_Sanyo_Open']
```
Next 2 examples(in Ipython console) gives no errors, and gives a result like the ta... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3902 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3902/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3902/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3902/events | https://github.com/pandas-dev/pandas/pull/3902 | 15,551,359 | MDExOlB1bGxSZXF1ZXN0NjMyMjUwMA== | 3,902 | ENH: (GH3863) Timestamp.min and Timestamp.max return a valid Timestamp | {
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"i... | 25 | 2013-06-14T10:17:04Z | 2014-06-14T06:16:44Z | 2013-07-02T14:39:10Z | CONTRIBUTOR | null | closes https://github.com/pydata/pandas/issues/3863 by adding valid min and max fields to the Timestamp class.
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https://api.github.com/repos/pandas-dev/pandas/issues/3903 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3903/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3903/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3903/events | https://github.com/pandas-dev/pandas/pull/3903 | 15,551,817 | MDExOlB1bGxSZXF1ZXN0NjMyMjczNA== | 3,903 | BLD: add setup_requires in setup.py so pandas can be used with buildout | {
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"i... | 4 | 2013-06-14T10:30:26Z | 2014-07-16T08:14:08Z | 2013-06-18T23:29:05Z | CONTRIBUTOR | null | Numpy is a setup-time dependency due to some .h files, but is not declared as such. This causes tools like buildout ( http://buildout.org/ ) to fail.
Adding the `setup_requires` kwarg to the setuptools config shoud fix this: buildout will correctly assemble any declared setup-time dependencies, before executing the pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3904 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3904/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3904/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3904/events | https://github.com/pandas-dev/pandas/issues/3904 | 15,557,357 | MDU6SXNzdWUxNTU1NzM1Nw== | 3,904 | BUG/API: date_conversion in read_csv with int vs float component parts | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-06-14T13:12:33Z | 2013-09-22T17:07:05Z | 2013-09-22T17:07:05Z | CONTRIBUTOR | null | from the ML
https://groups.google.com/forum/?fromgroups#!topic/pydata/Lc10-vz4NpU
not really sure if this is a bug, more of a convention
```
In [58]: data = "YEAR,DOY,TEMP\n2001,1,10.5\n2001,2,11.8\n2001,3,67.4"
In [59]: def date_converter(x): ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3905 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3905/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3905/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3905/events | https://github.com/pandas-dev/pandas/issues/3905 | 15,561,804 | MDU6SXNzdWUxNTU2MTgwNA== | 3,905 | Out-by-one error when slicing a TimeSeries with date-strings | {
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Example below:
``` python
In [7]: series = pd.TimeSeries(numpy.arange(5), pd.date_range('2014-01-01 09:00', periods=5, freq='D'))
...: series
...:
Out[7]:
2014-01-01 09:00:00 0
2014-01-02 09:00:00 1
2014-01-03 09:00:00 2
2014-01-04 09:00:00 3
2014-01-05 09:00:00 4
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https://api.github.com/repos/pandas-dev/pandas/issues/3906 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3906/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3906/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3906/events | https://github.com/pandas-dev/pandas/pull/3906 | 15,572,136 | MDExOlB1bGxSZXF1ZXN0NjMzMzUxOQ== | 3,906 | TST: convert knowntestfailures to skip tests | {
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"i... | 0 | 2013-06-14T18:41:53Z | 2014-06-18T17:41:16Z | 2013-06-14T19:07:45Z | CONTRIBUTOR | null | in test_pickle, test_stats
closes #3894, #3896
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https://api.github.com/repos/pandas-dev/pandas/issues/3907 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3907/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3907/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3907/events | https://github.com/pandas-dev/pandas/issues/3907 | 15,572,350 | MDU6SXNzdWUxNTU3MjM1MA== | 3,907 | BUG: replace not converting dtypes | {
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"i... | 27 | 2013-06-14T18:46:53Z | 2016-10-12T23:03:53Z | 2013-06-15T12:34:13Z | CONTRIBUTOR | null | I believe `replace` should do a `convert_objects(copy=False)` after replacement to provide dtype soft-conversion
```
In [1]: df = DataFrame([['foo','bar','bah'],['bar','foo','bah']])
In [2]: df
Out[2]:
0 1 2
0 foo bar bah
1 bar foo bah
In [3]: m = { 'foo' : 1, 'bar' : 2, 'bah' : 3 }
In [5]: df.rep... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3908 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3908/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3908/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3908/events | https://github.com/pandas-dev/pandas/issues/3908 | 15,579,549 | MDU6SXNzdWUxNTU3OTU0OQ== | 3,908 | Possible Problems with ga.read_ga | {
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"f... | 3 | 2013-06-14T21:41:38Z | 2014-05-30T01:16:10Z | 2014-05-30T01:16:10Z | NONE | null | Hi,
I have a python script that runs on a daily basis and I noticed a problem this morning with the ga.read function. Nothing has changed with my GA account and I have not touched the python script. I've attached the error message below:
``` python
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https://api.github.com/repos/pandas-dev/pandas/issues/3909 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3909/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3909/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3909/events | https://github.com/pandas-dev/pandas/pull/3909 | 15,580,997 | MDExOlB1bGxSZXF1ZXN0NjMzODQ5NQ== | 3,909 | BUG/API: remove infer_types from replace and fix compiled regex bug | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3910 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3910/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3910/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3910/events | https://github.com/pandas-dev/pandas/issues/3910 | 15,584,732 | MDU6SXNzdWUxNTU4NDczMg== | 3,910 | TST: Make network decorator impose a skipTest catching URLErrors | {
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"i... | 5 | 2013-06-15T01:29:17Z | 2013-06-21T01:48:25Z | 2013-06-21T01:48:25Z | CONTRIBUTOR | null | Basically, do this in the network decorator:
``` python
@wraps
def network_wrapper(*args, **kwargs):
try:
return t(*args, **kwargs)
except URLError:
raise nose.skipTest
```
Working on it right now
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https://api.github.com/repos/pandas-dev/pandas/issues/3911 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3911/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3911/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3911/events | https://github.com/pandas-dev/pandas/issues/3911 | 15,586,280 | MDU6SXNzdWUxNTU4NjI4MA== | 3,911 | GroupBy.apply type upcasting regression | {
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"i... | 9 | 2013-06-15T04:04:53Z | 2013-06-15T15:00:25Z | 2013-06-15T12:25:21Z | MEMBER | null | Blocker for 0.11.1. This got broken sometime between 0.11.0 and master; I haven't had time to bisect yet. Essentially, write a mixed type DataFrame and a groupby function that extracts a row. This used to do type inference and convert object back to numeric in the columns of the resulting DataFrame. Didn't have a test ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3912 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3912/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3912/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3912/events | https://github.com/pandas-dev/pandas/pull/3912 | 15,589,628 | MDExOlB1bGxSZXF1ZXN0NjM0MjE1OQ== | 3,912 | FIX/ENH: attempt soft conversion of object series before raising a TypeError when plotting | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3913 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3913/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3913/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3913/events | https://github.com/pandas-dev/pandas/pull/3913 | 15,590,598 | MDExOlB1bGxSZXF1ZXN0NjM0MjQ1OQ== | 3,913 | BUG: (GH3911) groupby appying with custom function not converting dtypes of result | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3914 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3914/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3914/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3914/events | https://github.com/pandas-dev/pandas/pull/3914 | 15,590,900 | MDExOlB1bGxSZXF1ZXN0NjM0MjU0Mg== | 3,914 | TST: Move explicit connectivity checks to decorator. | {
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"i... | 55 | 2013-06-15T12:12:57Z | 2014-06-12T07:13:41Z | 2013-06-21T01:48:25Z | CONTRIBUTOR | null | Instead, `network` decorator in pandas.util.testing catches `IOError` instead.
You have to opt into failing on tests by setting
`pandas.util.testing._RAISE_NETWORK_ERROR_DEFAULT` to `True`.
Also adds a `with_network_connectivity_check` that can automatically check for a connection.
Fixes #3910.
This version of the f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3915 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3915/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3915/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3915/events | https://github.com/pandas-dev/pandas/pull/3915 | 15,592,973 | MDExOlB1bGxSZXF1ZXN0NjM0MzE1OQ== | 3,915 | CLN: Fix CRLFs in repo + add .gitattributes | {
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"i... | 39 | 2013-06-15T15:28:08Z | 2014-06-14T06:24:42Z | 2013-06-17T23:46:16Z | CONTRIBUTOR | null | View this pull request with [`?w=t`](https://github.com/pydata/pandas/pull/3915?w=t) added to the end of the url to see that there are not differences [aside from the .gitattributes files] - this should prevent more commits with CRLF entering the repo.
I think it'd be good to merge this (especially because we can avoi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3917 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3917/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3917/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3917/events | https://github.com/pandas-dev/pandas/issues/3917 | 15,595,441 | MDU6SXNzdWUxNTU5NTQ0MQ== | 3,917 | BUG: Nested sort with NaN | {
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"labels_url": "htt... | 4 | 2013-06-15T18:48:37Z | 2014-04-05T19:32:40Z | 2014-03-27T22:23:50Z | CONTRIBUTOR | null | Nested sort doesn't seem to work with NaNs, see [this SO question](http://stackoverflow.com/questions/17126500/pandas-nested-sort-and-nan).
```
In [11]: df
Out[11]:
a b
0 1 9
1 2 NaN
2 NaN 5
3 1 2
4 6 5
5 8 4
6 4 5
In [12]: df.sort(columns=["a","b"])
Out[12]:
a b
3 1 2
0 1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3918 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3918/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3918/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3918/events | https://github.com/pandas-dev/pandas/issues/3918 | 15,595,905 | MDU6SXNzdWUxNTU5NTkwNQ== | 3,918 | is_s3_url will not work | {
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> "Any bucket with a DNS compatible name may be referenced as follows: http://[BucketName].s3.amazonaws.com/[Filename], for example, http://images.johnsmith.net.s3.amazonaws.com/mydog.jpg. Using CNAME ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3919 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3919/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3919/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3919/events | https://github.com/pandas-dev/pandas/issues/3919 | 15,598,281 | MDU6SXNzdWUxNTU5ODI4MQ== | 3,919 | ER: remove all calls to str in error messages | {
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In [9]: df = mkdf(10, 10, data_gen_f=lambda *args: randint(2), c_idx_type='u', r_idx_type='u')
In [10]: df.sort_index(df.columns[0])
```
barfs a `UnicodeEncodeError` inside of a `ValueError`. this maybe ongoing, but might be easy enough to use a macro to correct this in a reasonably fast way
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https://api.github.com/repos/pandas-dev/pandas/issues/3920 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3920/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3920/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3920/events | https://github.com/pandas-dev/pandas/pull/3920 | 15,600,248 | MDExOlB1bGxSZXF1ZXN0NjM0NTU2Ng== | 3,920 | BUG: Add import for 'is_datetime64_dtype' | {
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``` python
def _try_cast(self, result, obj):
""" try to cast the result ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3921 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3921/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3921/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3921/events | https://github.com/pandas-dev/pandas/pull/3921 | 15,600,729 | MDExOlB1bGxSZXF1ZXN0NjM0NTcyNQ== | 3,921 | CLN: Remove unused Exceptions | {
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"i... | 25 | 2013-06-16T04:52:12Z | 2014-07-06T05:46:03Z | 2013-06-19T01:13:57Z | CONTRIBUTOR | null | There are at least 3 `Exception`s that are _never_ raised anywhere, so they can be removed without issue. (There are other exceptions that probably should be removed or refactored, but this is just a basic commit to make sure that these don't get used going forward.)
CLN: Remove 'DateConversionError' that is never rai... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3922 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3922/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3922/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3922/events | https://github.com/pandas-dev/pandas/issues/3922 | 15,601,818 | MDU6SXNzdWUxNTYwMTgxOA== | 3,922 | pandas appears to crash doing pivot table from 10 minute examples | {
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"i... | 53 | 2013-06-16T07:24:05Z | 2014-09-08T14:22:11Z | 2013-06-21T20:16:55Z | NONE | null | pandas 0.11.0 installed with Python 2.7.2 using "pip install pandas" on fully patched mac osx 10.8.5, running in a virtual environment. running any pivot table against any DataFrame create so for -- nothing happens. pressing ctrl-c I see the latest lines run are:
```
422 while com._long_prod(sizes) >= 2 ** 6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3923 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3923/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3923/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3923/events | https://github.com/pandas-dev/pandas/issues/3923 | 15,604,521 | MDU6SXNzdWUxNTYwNDUyMQ== | 3,923 | Using cython in pandas tutorial | {
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] | closed | false | null | [] | null | 38 | 2013-06-16T12:25:46Z | 2013-06-21T00:35:45Z | 2013-06-21T00:35:45Z | CONTRIBUTOR | null | ### Please see #3965 for current draft.
Re: this topic https://groups.google.com/forum/?fromgroups#!topic/pydata/aLxALYqosOU (cc @jreback).
I think this is one of the killer features of pandas so I think merits being in the docs. (I'd definitely be interested in reading it!) Maybe something structured like this with ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3924 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3924/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3924/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3924/events | https://github.com/pandas-dev/pandas/pull/3924 | 15,608,264 | MDExOlB1bGxSZXF1ZXN0NjM0NzkyOQ== | 3,924 | CLN: Replace bare exceptions with more descriptive ones | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3925 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3925/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3925/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3925/events | https://github.com/pandas-dev/pandas/issues/3925 | 15,609,120 | MDU6SXNzdWUxNTYwOTEyMA== | 3,925 | Access DateTimeIndexed dataframe by timestamp | {
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"i... | 3 | 2013-06-16T19:06:30Z | 2013-06-17T18:48:57Z | 2013-06-17T18:48:57Z | NONE | null | Hello,
I am new to pandas and thanks for this great library!
I have a data frame like this:
```
Gold_2012.head()
open high low close volume
date_time
2012-01-02 18:01:00 1571.0 1571.0 1569.1 1569.8 351
2012-01-02 18:02:00 1569.8 1570.0 1569.7 1569.8 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3926 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3926/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3926/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3926/events | https://github.com/pandas-dev/pandas/issues/3926 | 15,609,285 | MDU6SXNzdWUxNTYwOTI4NQ== | 3,926 | Avoid upcasting integers in some merge operations | {
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```
I've noticed that merge does not necessarily retain the datatype of the
variables passed. For example,
----
stock = DataFrame({'date' : [2000, 2001, 2002],
'S' : [10.1, 10.5, 11.1]})
ex = DataFrame({'Grant' : [1, 1], 'date' : [2000, 2002]})
merged = stock.merge(ex, how='left', o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3927 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3927/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3927/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3927/events | https://github.com/pandas-dev/pandas/pull/3927 | 15,610,136 | MDExOlB1bGxSZXF1ZXN0NjM0ODU3MQ== | 3,927 | TST: Fix error in assert_produces_warning. | {
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I thought the indentation was wrong and changed it.
Turned out I was wrong -- sorry about that!
Now all the doctests pass...
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https://api.github.com/repos/pandas-dev/pandas/issues/3928 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3928/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3928/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3928/events | https://github.com/pandas-dev/pandas/issues/3928 | 15,610,439 | MDU6SXNzdWUxNTYxMDQzOQ== | 3,928 | DOC: Series type int to float upcasting on an apply | {
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"f... | 3 | 2013-06-16T20:48:56Z | 2021-04-11T02:09:20Z | null | CONTRIBUTOR | null | Add to advanced groupby sections docs
This seem a little strange, here the integer column N is upcast when using an apply (since the row (Series) has floats in it), unfortunately in this example this means I get an exception:
```
from numpy.random import *
df = pd.DataFrame({'a': randn(100), 'b': randn(100), 'N... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3929 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3929/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3929/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3929/events | https://github.com/pandas-dev/pandas/pull/3929 | 15,613,088 | MDExOlB1bGxSZXF1ZXN0NjM0OTU3OA== | 3,929 | PTF no more | {
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"i... | 1 | 2013-06-17T00:41:30Z | 2014-07-16T08:14:30Z | 2013-06-17T02:45:06Z | NONE | null | The travis network build cache (activated via commit message, for whitelisted commiters) was added a few months back. It worked well for a while, but ultimately
it's seen little use in practive by commiters.
While it was gratifying to see this actually worked, all the additional
magic in ci/ doesn't pay for itself i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3930 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3930/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3930/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3930/events | https://github.com/pandas-dev/pandas/pull/3930 | 15,613,397 | MDExOlB1bGxSZXF1ZXN0NjM0OTY5Nw== | 3,930 | DOC: fix to_json docstring nesting issue | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3931 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3931/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3931/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3931/events | https://github.com/pandas-dev/pandas/pull/3931 | 15,613,779 | MDExOlB1bGxSZXF1ZXN0NjM0OTg2MQ== | 3,931 | BUG: (GH3925) partial string selection with seconds resolution | {
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"i... | 17 | 2013-06-17T01:37:13Z | 2014-06-19T03:37:21Z | 2013-06-19T00:59:39Z | CONTRIBUTOR | null | this no longer has much to do with #3925, and is only fixing a bug
Minor revision to select on second frequency
```
In [11]: df = DataFrame(randn(5,5),columns=['open','high','low','close','volume'],index=date_range('2012-01-02 18:01:00',periods=5,tz='US/Central',freq='s'))
In [12]: df
Out[12]:
... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3932 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3932/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3932/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3932/events | https://github.com/pandas-dev/pandas/issues/3932 | 15,617,619 | MDU6SXNzdWUxNTYxNzYxOQ== | 3,932 | dataframe asfreq modifies the colums dtype | {
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```
print(Gold_2012.head(), "\n")
print(Gold_2012)
open high low close volume
date_time
2012-01-02 18:01:00 1571.0 1571.0 1569.1 1569.8 351
2012-01-02 18:02:00 1569.8 1570... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3933 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3933/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3933/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3933/events | https://github.com/pandas-dev/pandas/issues/3933 | 15,626,331 | MDU6SXNzdWUxNTYyNjMzMQ== | 3,933 | Breakpoint analysis feature in Pandas | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2013-06-17T10:46:24Z | 2016-07-24T04:10:17Z | 2016-07-24T04:10:11Z | NONE | null | Hi,
as far as I know, pandas does not support yet the analysis of time series homogeneity and the detection of breakpoints.
Would be really great if such a feature could be implemented. What I am thinking about is similar to the following R-project, called bfast (http://bfast.r-forge.r-project.org/).
Would be great ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3934 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3934/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3934/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3934/events | https://github.com/pandas-dev/pandas/pull/3934 | 15,629,440 | MDExOlB1bGxSZXF1ZXN0NjM1NzI5Mw== | 3,934 | CLN: cleaned up _try_cast in core/groupby.py to eliminate cruft (GH3920) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3935 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3935/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3935/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3935/events | https://github.com/pandas-dev/pandas/pull/3935 | 15,634,021 | MDExOlB1bGxSZXF1ZXN0NjM1OTYwNA== | 3,935 | FIX: StataReader | {
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"i... | 9 | 2013-06-17T14:05:37Z | 2014-07-16T08:14:39Z | 2013-06-21T00:11:15Z | CONTRIBUTOR | null | Fix for a bug in StataReader resulting in errors when reading Stata file with string columns
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https://api.github.com/repos/pandas-dev/pandas/issues/3936 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3936/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3936/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3936/events | https://github.com/pandas-dev/pandas/pull/3936 | 15,651,005 | MDExOlB1bGxSZXF1ZXN0NjM2ODIyNg== | 3,936 | BUG: fix python3/2 numpy import_array macro build issue with clang | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3937 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3937/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3937/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3937/events | https://github.com/pandas-dev/pandas/pull/3937 | 15,651,905 | MDExOlB1bGxSZXF1ZXN0NjM2ODY4Mw== | 3,937 | allow HDFStore to remain open when TableIterator is returned from read_hdf | {
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"i... | 12 | 2013-06-17T19:45:39Z | 2014-07-16T08:14:42Z | 2013-06-18T22:15:20Z | NONE | null | Hi,
I'm using a TableIterator from pandas.read_hdf function (with the keyword argument iterator=True), I am unable to retrieve any data due to the error "ClosedNodeError: the node object is closed".
For instance:
```
pandas.DataFrame({'a':[1,2,3], 'b':[4,5,6]}).to_hdf("test.h5", "test", append=True)
it = pandas.read_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3938 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3938/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3938/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3938/events | https://github.com/pandas-dev/pandas/issues/3938 | 15,659,952 | MDU6SXNzdWUxNTY1OTk1Mg== | 3,938 | DOC: expand section on partial string indexing of timeseries | {
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"i... | 0 | 2013-06-17T22:34:24Z | 2013-06-18T00:42:28Z | 2013-06-18T00:42:28Z | CONTRIBUTOR | null | see #3931
http://pandas.pydata.org/pandas-docs/dev/timeseries.html#datetimeindex
could use examples of increasing specialized partial string indexing
and especially issues of end inclusion (eg #3905)
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https://api.github.com/repos/pandas-dev/pandas/issues/3939 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3939/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3939/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3939/events | https://github.com/pandas-dev/pandas/pull/3939 | 15,662,316 | MDExOlB1bGxSZXF1ZXN0NjM3NDQyOQ== | 3,939 | DOC: partial string indexing docs in timeseries.rst (GH3938) | {
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"i... | 2 | 2013-06-17T23:41:32Z | 2014-06-14T06:04:28Z | 2013-06-18T00:42:28Z | CONTRIBUTOR | null | closes #3938
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"labels_url": "htt... | 9 | 2013-06-18T01:26:02Z | 2014-02-20T21:23:17Z | 2014-02-20T21:23:17Z | NONE | null | Installing on Windows with MinGW installed.
Pandas Version: Installing from source
NumPy Version : `1.7.1`
After running `setup.py install` I get this error:
```
cc1.exe: error: unrecognized command line option '-mno-cygwin'
error: command 'gcc' failed with exit status 1
```
I believe I've installed MinGW corre... | {
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"followers_url": "https://api.github.com/users/j... | 20 | 2013-06-18T08:30:02Z | 2020-04-27T16:09:26Z | 2020-04-27T16:09:26Z | CONTRIBUTOR | null | Many python functions (sorting, max/min) accept a key argument, perhaps they could in pandas too.
.
_The terrible motivating example was this awful hack from [this question](http://stackoverflow.com/a/17157110/1240268).... for which maybe one could do_
```
df.sort_index(key=lambda t: literal_eval(t[1:-1]))
```
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"followers_url": "https://api.github.com/users/jr... | 5 | 2013-06-18T08:38:45Z | 2014-07-14T21:42:11Z | 2014-07-14T21:42:11Z | CONTRIBUTOR | null | another example:
http://stackoverflow.com/questions/23814368/sorting-pandas-categorical-labels-after-groupby
At the moment bins / buckets are simply strings, so you can't sort them properly.
```
A=pd.qcut(X['x'], [0,0.25,0.5,0.75,1.0])
In [28]: A[0]
Out[28]: '(0.635, 2.4]'
In [29]: type(A[0])
Out[29]: str
```
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"labels_url": "htt... | 13 | 2013-06-18T11:22:42Z | 2014-04-25T12:57:40Z | 2014-02-04T09:24:55Z | CONTRIBUTOR | null | after #3890, still unresolved / inconsistent
non-trivial to fix, so pushing to 0.12
```
In [14]: Timestamp('2012')
Out[14]: Timestamp('2012-06-18 00:00:00', tz=None)
In [15]: to_datetime('2012')
Out[15]: Timestamp('2012-01-01 00:00:00', tz=None)
```
```
In [17]: pd.date_range('2014', '2015', freq='M')
Out[17]:
<cla... | {
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"f... | 13 | 2013-06-18T12:35:55Z | 2013-08-27T00:07:49Z | 2013-08-27T00:07:49Z | CONTRIBUTOR | null | Should I write a `Series.histogram` that calls `numpy.histogram` and returns a new Series of counts indexed by bins?
```
In [4]: s = Series(randn(100))
In [5]: counts, bins = np.histogram(s)
In [6]: Series(counts, index=bins[:-1])
Out[6]:
-2.968575 1
-2.355032 4
-1.741488 5
-1.127944 26
-0.514401 ... | {
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All tests pass on py27 and py33. Valgrind run of JSON tests with Python 2.7 is clean.
Also included ar... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3949 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3949/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3949/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3949/events | https://github.com/pandas-dev/pandas/pull/3949 | 15,715,613 | MDExOlB1bGxSZXF1ZXN0NjQwMTEyNQ== | 3,949 | ENH: enable support for iterator with read_hdf in HDFStore (GH3937) | {
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"i... | 13 | 2013-06-18T22:05:48Z | 2014-07-01T10:07:30Z | 2013-06-18T22:57:40Z | CONTRIBUTOR | null | closes #3937
DOC: update v0.11.1.rst
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https://api.github.com/repos/pandas-dev/pandas/issues/3950 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3950/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3950/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3950/events | https://github.com/pandas-dev/pandas/issues/3950 | 15,719,545 | MDU6SXNzdWUxNTcxOTU0NQ== | 3,950 | tz info lost when creating multiindex | {
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```
dat = pd.DataFrame({'label':['a', 'a', 'a', 'b', 'b', 'b'], 'datetime':['2011-07-19 07:00:00', '2011-07-19 08:00:00', '2011-07-19 09:00:00', '2011-07-19 07:00:00', '2011-07-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3951 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3951/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3951/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3951/events | https://github.com/pandas-dev/pandas/issues/3951 | 15,721,343 | MDU6SXNzdWUxNTcyMTM0Mw== | 3,951 | doc/source/visualization.rst links to missing image files | {
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```
/tmp/pandas/doc/source/visualization.rst:None: WARNING: image file not readable: _static/series_plot_basic2.png
/tmp/pandas/doc/source/visualization.rst:None: WARNING: image file not readable: _static/frame_plot_basic_noleg.png
/tmp/pandas/doc/source/visualization.rst:None: WARNING: imag... | {
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currently the default is 'ignore', which returns the input argument (rather than raise, say a `ValueError`); various routines will try a conversion (which will result in a conversion or no effect), then move on; rather than raising (and having to catch it)
so investigate....
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https://api.github.com/repos/pandas-dev/pandas/issues/3953 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3953/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3953/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3953/events | https://github.com/pandas-dev/pandas/pull/3953 | 15,722,865 | MDExOlB1bGxSZXF1ZXN0NjQwNDYwMw== | 3,953 | Doc for pandas.io.data | {
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For right now, the goal is to take care of the low-hanging fruit (the really obvious items that should be TypeError, ValueError, etc.) and then potentially take on more of the code base la... | {
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"i... | 5 | 2013-06-19T03:46:35Z | 2014-06-19T19:20:54Z | 2013-06-19T21:09:34Z | CONTRIBUTOR | null | Relates to #3954. In addition to changing exceptions types returned to be more explicit, this pull incorporates the following changes:
1. Adds a new `assertRaisesRegexp` to `util/testing.py` to port the `assertRaisesRegexp` helper from 2.7+ unittest
2. Cleans up stats/common.
3. Fix up initial assertions in `tseries.of... | {
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```
gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -Ipandas/src/ujson/python -Ipandas/src/ujson/lib -Ipandas/src/datetime -Ipandas/src/klib -Ipandas/src -I/home/me/anaconda/envs/py33/l... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3959 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3959/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3959/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3959/events | https://github.com/pandas-dev/pandas/pull/3959 | 15,748,775 | MDExOlB1bGxSZXF1ZXN0NjQxNzYyMg== | 3,959 | BUG/BLD: add compiler flag for older compilers | {
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"i... | 1 | 2013-06-19T14:51:05Z | 2014-07-11T21:47:26Z | 2013-06-19T16:48:59Z | MEMBER | null | The -D_GNU_SOURCE is needed by older versions of GCC. Many newer versions
enable this flag by default, which is why it wasn't being caught before.
closes #3957.
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https://api.github.com/repos/pandas-dev/pandas/issues/3960 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3960/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3960/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3960/events | https://github.com/pandas-dev/pandas/issues/3960 | 15,751,963 | MDU6SXNzdWUxNTc1MTk2Mw== | 3,960 | ENH: nlargest for DataFrame | {
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"labels_url": "htt... | 34 | 2013-06-19T15:43:06Z | 2016-10-12T23:03:54Z | 2014-05-14T21:21:48Z | CONTRIBUTOR | null | I don't _think_ there is a way to get the nlargest elements in a DataFrame without sorting.
In ordinary python you'd use heapq's nlargest (and we can hack a bit to use it for a DataFrame):
```
In [10]: df
Out[10]:
IP Agent Count
0 74.86.158.106 Mozilla... | {
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"i... | 80 | 2013-06-19T16:14:32Z | 2014-06-20T21:52:48Z | 2013-06-20T18:10:16Z | MEMBER | null | closes #3182.
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https://api.github.com/repos/pandas-dev/pandas/issues/3962 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3962/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3962/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3962/events | https://github.com/pandas-dev/pandas/issues/3962 | 15,757,936 | MDU6SXNzdWUxNTc1NzkzNg== | 3,962 | Make DataFrame.pivot index argument truly optional | {
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"followers_url": "https://api.github.com/users/jr... | 0 | 2013-06-19T17:36:36Z | 2015-07-31T11:14:36Z | 2015-07-31T11:14:36Z | CONTRIBUTOR | null | Creating a pivot table from a DataFrame is easy.
``` python
In [17]: df
Out[17]:
date variable value
0 2000-01-03 00:00:00 A 0.528219
1 2000-01-04 00:00:00 A -0.135071
2 2000-01-05 00:00:00 A -0.343018
3 2000-01-03 00:00:00 B -0.097701
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https://api.github.com/repos/pandas-dev/pandas/issues/3963 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3963/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3963/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3963/events | https://github.com/pandas-dev/pandas/issues/3963 | 15,768,714 | MDU6SXNzdWUxNTc2ODcxNA== | 3,963 | BUG: python 3 compression and read_fwf | {
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"followers_url": "https://api.github.com/users/wesm... | 6 | 2013-06-19T21:12:19Z | 2016-10-12T23:03:54Z | 2013-09-14T01:59:59Z | CONTRIBUTOR | null | Getting a `TypeError: Type str doesn't support the buffer API` when using `read_fwf` on a compressed file with python 3 only; works in python 2.7
Example:
with a file `fwf.bug.txt` like
```
1111111111
2222222222
3333333333
4444444444
```
``` python
import pandas as pd
print(pd.__version__)
widths = [5, 5]
!gzip... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3964 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3964/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3964/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3964/events | https://github.com/pandas-dev/pandas/issues/3964 | 15,773,307 | MDU6SXNzdWUxNTc3MzMwNw== | 3,964 | Plotting using subplots | {
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"followers_url": "https://api.github.com/users/jr... | 3 | 2013-06-19T23:01:28Z | 2014-12-07T15:42:17Z | 2014-12-07T15:42:17Z | CONTRIBUTOR | null | I am creating the attached plot like this:
``` python
fig, axes = subplots(3,3, sharex=True, sharey=True)
for ch in range(1,7):
axis = axes.flatten()[ch-1]
cols = some code to map ch to col_names
df[cols].plot(ax=axis)
# do the same for 3 more channels with different IDs
for ch in range(1,4):
axis = ax... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3965 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3965/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3965/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3965/events | https://github.com/pandas-dev/pandas/pull/3965 | 15,774,224 | MDExOlB1bGxSZXF1ZXN0NjQzMTU0NQ== | 3,965 | ENH add cython tutorial | {
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"i... | 11 | 2013-06-19T23:28:35Z | 2014-06-29T19:01:34Z | 2013-06-21T00:15:16Z | CONTRIBUTOR | null | WIP #3923
Please checkout this draft for a pandas cython tutorial, any feedback or ideas appreciated.
_Thanks to @cpcloud for patiently working out/explaining how to force ipython sphinx directive to play nicely with %%cython (it's incredibly sensitive!) and fixing the spacing bug. This seems to build now._ :)
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https://api.github.com/repos/pandas-dev/pandas/issues/3966 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3966/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3966/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3966/events | https://github.com/pandas-dev/pandas/issues/3966 | 15,777,853 | MDU6SXNzdWUxNTc3Nzg1Mw== | 3,966 | API: bool dtype casts to object arrays with np.array | {
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```
np.array(pandas.DataFrame.from_dict(dict(a=np.random.rand(50), b=np.random.randint(2, size=50).astype(bool))))
```
We would expect that this casts to a plain float ndarray.
See https://github.com/statsmodels/statsmodels/issues/880
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"i... | 13 | 2013-06-20T08:03:57Z | 2013-06-21T12:20:03Z | 2013-06-21T01:22:33Z | CONTRIBUTOR | null | Hi there,
I tested:
``` python
data = """A,B,C
foo,1,2,3
bar,4,5,6
baz,7,8,9
"""
reader = pd.read_csv(StringIO(data), iterator=True)
```
I thought that I could do:
```
for row in reader:
print(row)
```
since `reader` is iterable. Unfortunately, it calls the generator `TextFileReader.__iter__`:
``` python
def ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3968 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3968/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3968/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3968/events | https://github.com/pandas-dev/pandas/issues/3968 | 15,801,158 | MDU6SXNzdWUxNTgwMTE1OA== | 3,968 | Bad grammar in exception message: "If use all scalar values, must pass index" | {
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"i... | 1 | 2013-06-20T13:55:35Z | 2013-06-20T19:27:10Z | 2013-06-20T19:26:50Z | CONTRIBUTOR | null | I found this little gem here:
```
File ".....lib/python2.7/site-packages/pandas/core/frame.py" in extract_index
5366. raise ValueError('If use all scalar values, must pass index')
Exception Type: ValueError at /reporting/reports/7/preview
Exception Value: If use all scalar values, must pass index
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3969 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3969/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3969/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3969/events | https://github.com/pandas-dev/pandas/issues/3969 | 15,801,330 | MDU6SXNzdWUxNTgwMTMzMA== | 3,969 | Series astype() doesn't convert int64 to datetime64 using M8[D] anymore | {
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"i... | 5 | 2013-06-20T13:58:15Z | 2014-03-27T17:44:26Z | 2013-06-21T00:10:18Z | CONTRIBUTOR | null | add `units='D'` to `Timestamp/to_datetime` epoch support
I have an int64 series representing days since epoch which I'd like to convert to datetime64.
This works in 11.0 but raises an exception in 0.11.1.dev-964516a. The exception message is "TypeError: cannot convert datetimelike to dtype [datetime64[D]]".
```
impor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3970 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3970/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3970/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3970/events | https://github.com/pandas-dev/pandas/issues/3970 | 15,808,172 | MDU6SXNzdWUxNTgwODE3Mg== | 3,970 | Strange behavior assigning values to elements | {
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"i... | 13 | 2013-06-20T15:56:19Z | 2013-12-04T00:46:05Z | 2013-06-28T18:41:53Z | NONE | null | Basically, if you create a Data
``` python
import pandas as pd
df = pd.DataFrame({ "aa":range(5), "bb":[2.2]*5})
df["cc"] = 0.0 # remove this line, it works
ck = [True]*len(df)
df["bb"].iloc[0] = .13
df_tmp = df.iloc[ck] # or remove this line and it'll work
df["bb"].iloc[0] = .15 # doesn't happen
print df
```
wh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3971 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3971/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3971/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3971/events | https://github.com/pandas-dev/pandas/issues/3971 | 15,808,803 | MDU6SXNzdWUxNTgwODgwMw== | 3,971 | Series.where return unmodified series in upcasting corner case | {
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"followers_url": "https://api.github.com/users/wesm... | 4 | 2013-06-20T16:08:42Z | 2013-09-22T17:13:54Z | 2013-09-22T17:13:54Z | CONTRIBUTOR | null | ``` python
import pandas as pd
import numpy as np
s = pd.Series(range(10))
s.where(s > 4, np.array([np.nan]))
Out[4]:
0 0
1 1
2 2
3 3
4 4
5 5
6 6
7 7
8 8
9 9
dtype: int64
```
The culprit is that if upcast is required, ser doesn't get changed in the `com` call. Since we're making a copy o... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3972 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3972/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3972/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3972/events | https://github.com/pandas-dev/pandas/pull/3972 | 15,814,223 | MDExOlB1bGxSZXF1ZXN0NjQ1MTEyNQ== | 3,972 | CLN: fix grammar in extract_index error message | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3973 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3973/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3973/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3973/events | https://github.com/pandas-dev/pandas/pull/3973 | 15,824,885 | MDExOlB1bGxSZXF1ZXN0NjQ1NzA4MA== | 3,973 | ENH (GH3969) Implement unit='D' in to_datetime | {
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"labels_url": "htt... | 20 | 2013-06-20T21:52:45Z | 2014-07-17T06:09:18Z | 2014-03-13T14:37:40Z | MEMBER | null | works similar to numpy except that the edgeitems is overriden by threshold rather than the other way around which is what np does.
closes #3391
- [x] add release notes
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https://api.github.com/repos/pandas-dev/pandas/issues/3975 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3975/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3975/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3975/events | https://github.com/pandas-dev/pandas/pull/3975 | 15,829,085 | MDExOlB1bGxSZXF1ZXN0NjQ1OTU1MA== | 3,975 | DOC: put release notes link to dev until 0.11.1 is released | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3977 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3977/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3977/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3977/events | https://github.com/pandas-dev/pandas/pull/3977 | 15,829,721 | MDExOlB1bGxSZXF1ZXN0NjQ1OTkxNw== | 3,977 | BUG: Possibly invalidate the item_cache when numpy implicty converts a v... | {
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"i... | 12 | 2013-06-21T00:00:43Z | 2013-06-28T17:58:04Z | 2013-06-28T17:58:04Z | CONTRIBUTOR | null | closes #3970
`df['bb'].iloc[0] = 0.13`
here `bb` is put into the `_item_cache` and the first element assigned 0.13; `bb` is still a view onto the frame block
`df_tmp = df.iloc[[True]*len(df)]`
`df_tmp` is now a copy of df, but built up as a take block-by-block from `df`. I believe numpy then decides to invalidate the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3978 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3978/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3978/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3978/events | https://github.com/pandas-dev/pandas/pull/3978 | 15,831,145 | MDExOlB1bGxSZXF1ZXN0NjQ2MDY3OQ== | 3,978 | BUG (GH3967) csv parsers would loop infinitely if iterator=True but no chunksize specified | {
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"i... | 0 | 2013-06-21T01:00:15Z | 2014-07-10T21:01:57Z | 2013-06-21T01:22:34Z | CONTRIBUTOR | null | BUG: python parser failing with `chunksize=1`
closes #3967
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https://api.github.com/repos/pandas-dev/pandas/issues/3979 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3979/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3979/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3979/events | https://github.com/pandas-dev/pandas/issues/3979 | 15,831,422 | MDU6SXNzdWUxNTgzMTQyMg== | 3,979 | Selections on an empty dataframe drop all columns | {
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``` python
In [1]: pd.DataFrame(columns=['a', 'b'])
Out[1]:
Empty DataFrame
Columns: [a, b]
Index: []
```
Right now, dropping a column works:
``` python
In [2]: df.drop('a', 1)
Out[2]:
Empty DataFrame
Columns: [b]
Index: []
```
But if I do a selection first, I'll be in trouble - selection returns... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3980 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3980/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3980/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3980/events | https://github.com/pandas-dev/pandas/issues/3980 | 15,831,661 | MDU6SXNzdWUxNTgzMTY2MQ== | 3,980 | DOC: Flesh out the R comparison section of docs | {
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"labels_url": "htt... | 20 | 2013-06-21T01:25:19Z | 2014-01-07T13:43:02Z | 2014-01-07T13:43:02Z | CONTRIBUTOR | null | I guess quite a lot of people come from an R background, and perhaps a good material would be a conversion table for pandas vs R functions/idioms etc. in http://pandas.pydata.org/pandas-docs/dev/comparison_with_r.html
Perhaps this site could offer some functions to consider including:
http://www.statmethods.net/manage... | {
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Test get quote for yahoo also needs to check that result is None.
We should also consider mocking the network object to raise URLErrors to make sure that network methods all handle them appropriately (ie they should raise the ... | {
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"i... | 35 | 2013-06-21T20:15:34Z | 2013-06-28T14:22:33Z | 2013-06-28T14:22:33Z | MEMBER | null | we really need to fix this...
https://travis-ci.org/cpcloud/pandas/jobs/8321921
https://travis-ci.org/cpcloud/pandas/jobs/8322345
https://travis-ci.org/jreback/pandas/jobs/8448538
https://travis-ci.org/pydata/pandas/jobs/8449118 (HTTP error here)
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2013-06-21T20:15:53Z | 2016-09-30T12:35:16Z | 2016-09-29T22:32:24Z | CONTRIBUTOR | null | This is dealing with a wrap-around on int64
occurs only on some platforms (macosx) and only on certain installs
pandas has to be aware to deal in certain looping constructs (see #3922)
```
np.iinfo(np.int64).max
9223372036854775807
2**63
-9223372036854775808
```
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"labels_url": "htt... | 3 | 2013-06-21T20:54:58Z | 2014-05-02T12:51:32Z | 2014-05-02T12:51:32Z | CONTRIBUTOR | null | At the moment, you can use `sortlevel` to select one level to sort by and then "Data will be lexicographically sorted by the chosen level followed by the other levels (in order)"
Should this be the case?
Should we be able to specify multiple levels to sort by?
see http://stackoverflow.com/questions/17242970/multi-ind... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3986 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3986/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3986/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3986/events | https://github.com/pandas-dev/pandas/pull/3986 | 15,871,563 | MDExOlB1bGxSZXF1ZXN0NjQ4MTQxMQ== | 3,986 | BUG: Index shift drops index name | {
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>>> idx = pd.Index([pd.to_datetime('2013-06-21')], name='idx')
>>> idx.name
'idx'
>>> idx.shift(1, freq='B').name == None
True
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3990 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3990/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3990/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3990/events | https://github.com/pandas-dev/pandas/issues/3990 | 15,883,663 | MDU6SXNzdWUxNTg4MzY2Mw== | 3,990 | BUG: matplotlib invert_xaxis crashes when using datetime | {
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"i... | 1 | 2013-06-22T11:56:21Z | 2013-07-10T18:39:23Z | 2013-07-10T18:39:23Z | MEMBER | null | From [stackoverflow](http://stackoverflow.com/questions/16456751/matplotlib-axis-invert-xaxis-crashes-when-using-datetime), a question from more than a month ago, but still an issue I think (tested with master).
Basicly, when using `ax.invert_xaxis()` with datetime x-values, the following exception is raised:
```
Run... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3991 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3991/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3991/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3991/events | https://github.com/pandas-dev/pandas/pull/3991 | 15,883,810 | MDExOlB1bGxSZXF1ZXN0NjQ4NjcyOA== | 3,991 | BUG: invert_xaxis (negative tot_sec) triggers MilliSecondLocator (#3990) | {
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"i... | 11 | 2013-06-22T12:13:47Z | 2014-06-25T21:40:21Z | 2013-07-10T18:39:00Z | MEMBER | null | Solves issue #3990.
Negative timedelta for xaxis range will no longer trigger MilliSecondLocator.
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http://stackoverflow.com/q/17252024/832621
The OP reads a csv using:
```
data_df = pd.read_csv("example.csv", sep="\t", index_col=0, names=["test"])
```
And when doing integration using the "Index" object at data_df.index it does not work, but works w... | {
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```
python make.py
...
checking consistency... /tmp/pandas/doc/source/generated/pandas.DataFrame.load.rst:: WARNING: document isn't included in any toctree
/tmp/pandas/doc/source/generated/pandas.DataFrame.save.rst:: WARNING: document isn't included in any toctree
/tmp/pandas/doc/source/generate... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3994 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3994/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3994/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3994/events | https://github.com/pandas-dev/pandas/issues/3994 | 15,887,485 | MDU6SXNzdWUxNTg4NzQ4NQ== | 3,994 | DOC: expand examples in io.data docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3995 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3995/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3995/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3995/events | https://github.com/pandas-dev/pandas/issues/3995 | 15,887,538 | MDU6SXNzdWUxNTg4NzUzOA== | 3,995 | BUG: Google finance is returning object dtype data (rather than float) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3996 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3996/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3996/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3996/events | https://github.com/pandas-dev/pandas/issues/3996 | 15,887,717 | MDU6SXNzdWUxNTg4NzcxNw== | 3,996 | Problem with Series.clip with Timestamp threshold | {
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>>> import pandas as pd
>>> s = pd.Series(pd.date_range('2013-05-01', '2013-05-03'))
>>> s
0 2013-05-01 00:00:00
1 2013-05-02 00:00:00
2 2013-05-03 00:00:00
dtype: datetime64[ns]
>>> s.clip_lower(s[1])
0 2013-05-02 00:00:00
1 1367452800000000000
2 1367539200000000000
dtype: object
>>> s.clip_lower(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3997 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3997/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3997/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3997/events | https://github.com/pandas-dev/pandas/issues/3997 | 15,887,904 | MDU6SXNzdWUxNTg4NzkwNA== | 3,997 | Dropna=False is ignored for MultiIndex stack. | {
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>>> df = pd.DataFrame({'A': ['a1', 'a2'], 'B': ['b1', 'b2'], 'C': [1, 1]})
>>> df
A B C
0 a1 b1 1
1 a2 b2 1
# Unstack introduces some NaNs
>>> df.set_index(['A', 'B']).unstack()
C
B b1 b2
A
a1 1 NaN
a2 NaN 1
# Stack with dropna=False should keep the NaNs, but doesn't.
>>> df... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3998 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3998/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3998/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3998/events | https://github.com/pandas-dev/pandas/pull/3998 | 15,889,358 | MDExOlB1bGxSZXF1ZXN0NjQ4ODU2NA== | 3,998 | BUG: Use Series.where rather than np.where in clip | {
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"i... | 19 | 2013-06-22T20:25:59Z | 2014-07-16T08:15:26Z | 2013-06-25T20:04:24Z | CONTRIBUTOR | null | Closes #3996
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https://api.github.com/repos/pandas-dev/pandas/issues/3999 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3999/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3999/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3999/events | https://github.com/pandas-dev/pandas/pull/3999 | 15,890,028 | MDExOlB1bGxSZXF1ZXN0NjQ4ODgyNQ== | 3,999 | BUG: (GH3997) Fix for dropna=False in stack | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4000 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4000/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4000/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4000/events | https://github.com/pandas-dev/pandas/pull/4000 | 15,891,769 | MDExOlB1bGxSZXF1ZXN0NjQ4OTQzMQ== | 4,000 | CLN: fix python26 invalid exception | {
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