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https://api.github.com/repos/pandas-dev/pandas/issues/3601 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3601/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3601/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3601/events | https://github.com/pandas-dev/pandas/issues/3601 | 14,315,331 | MDU6SXNzdWUxNDMxNTMzMQ== | 3,601 | Plotting incorrectly reversed when using dates as x-axis | {
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"i... | 5 | 2013-05-14T15:25:35Z | 2013-05-19T17:30:26Z | 2013-05-19T17:30:26Z | CONTRIBUTOR | null | Sometimes I have to read in spreadsheets containing data with the most
recent observations first. If I try to plot these without re-sorting
first, the graph appears _backwards_. The dates on the x-axis are in
ascending order, but the data are plotted from left to right in the same
order they appeared in the spreadsheet... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3602 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3602/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3602/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3602/events | https://github.com/pandas-dev/pandas/issues/3602 | 14,315,493 | MDU6SXNzdWUxNDMxNTQ5Mw== | 3,602 | concat produces incorrect output | {
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"i... | 20 | 2013-05-14T15:28:02Z | 2013-05-19T15:12:02Z | 2013-05-19T15:12:02Z | CONTRIBUTOR | null | Under certain circumstances, concat seems to produce erroneous results. I haven't worked out what causes the problems to arise, but here's an example:
df1 = DataFrame({'firmNo' : [0,0,0,0], 'stringvar' : ['rrr', 'rrr', 'rrr', 'rrr'], 'prc' : [6,6,6,6] })
df2 = DataFrame({'misc' : [1,2,3,4], 'prc' : [6,6,6,6], 'C' : [9... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3603 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3603/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3603/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3603/events | https://github.com/pandas-dev/pandas/pull/3603 | 14,327,422 | MDExOlB1bGxSZXF1ZXN0NTcwOTc5MA== | 3,603 | Categorical cleanup | {
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"i... | 8 | 2013-05-14T19:41:21Z | 2014-06-27T14:18:49Z | 2013-05-19T21:12:04Z | CONTRIBUTOR | null | Make categorical a little more user-friendly and add some documentation.
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https://api.github.com/repos/pandas-dev/pandas/issues/3604 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3604/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3604/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3604/events | https://github.com/pandas-dev/pandas/issues/3604 | 14,331,938 | MDU6SXNzdWUxNDMzMTkzOA== | 3,604 | Change default value of tupleize_cols in to_csv/read_csv to False and update docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3605 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3605/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3605/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3605/events | https://github.com/pandas-dev/pandas/issues/3605 | 14,334,094 | MDU6SXNzdWUxNDMzNDA5NA== | 3,605 | Importing bs4 in tests | {
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"i... | 6 | 2013-05-14T22:05:35Z | 2013-05-20T11:45:59Z | 2013-05-20T11:45:59Z | CONTRIBUTOR | null | I just got a bunch of test errors because I don't have bs4. I do have lxml. Haven't looked at this at all to see why the test isn't conditional. E.g.,
```
======================================================================
ERROR: test_string (pandas.io.tests.test_html.TestBs4ReadHtml)
------------------------------... | {
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"i... | 10 | 2013-05-14T22:27:22Z | 2013-08-06T23:30:09Z | 2013-05-20T11:47:17Z | CONTRIBUTOR | null | The second column of the table
http://code.google.com/p/pythonxy/wiki/StandardPlugins#Python_packages
is not parsed as shown with this code:
``` python
# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
# <codecell>
import pandas as pd
# <codecell>
url = 'http://code.google.com/p/pythonxy/wiki/StandardPlugins'
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https://api.github.com/repos/pandas-dev/pandas/issues/3607 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3607/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3607/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3607/events | https://github.com/pandas-dev/pandas/pull/3607 | 14,335,747 | MDExOlB1bGxSZXF1ZXN0NTcxNDMzMQ== | 3,607 | BUG/TST: fix failing html tests | {
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"i... | 2 | 2013-05-14T22:51:47Z | 2014-06-25T21:04:16Z | 2013-05-15T22:18:50Z | MEMBER | null | closes #3605
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https://api.github.com/repos/pandas-dev/pandas/issues/3608 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3608/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3608/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3608/events | https://github.com/pandas-dev/pandas/issues/3608 | 14,355,427 | MDU6SXNzdWUxNDM1NTQyNw== | 3,608 | Error in html display of table with multicolumns | {
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"i... | 4 | 2013-05-15T12:11:47Z | 2013-05-23T14:03:36Z | 2013-05-19T19:09:38Z | NONE | null | version: 0.11.0
with small variation of python for data analysis book:
``` python
tips = pd.read_csv("https://github.com/pydata/pydata-book/raw/master/ch08/tips.csv")
grouped = tips.groupby(['sex','smoker'])
res = grouped.agg({'tip': ['min','max','mean','std'], 'size':'sum'}) #By now, copied from the book, ~page 263-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3609 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3609/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3609/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3609/events | https://github.com/pandas-dev/pandas/issues/3609 | 14,356,528 | MDU6SXNzdWUxNDM1NjUyOA== | 3,609 | "AssertionError: Index length did not match values" when resampling with kind='period' | {
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"followers_url": "https://api.github.com/users/wesm... | 13 | 2013-05-15T12:44:42Z | 2016-10-12T23:03:48Z | 2013-11-06T00:23:40Z | CONTRIBUTOR | null | Should raise that `kind='period'` is not accepted for `DatetimeIndex` when resampling
Possible issue with period index resampling hanging (see @cpcloud example below)
version = 0.12.0.dev-f61d7e3
This bug also exists in 0.11.
## The bug
``` Python
In [20]: s.resample('T', kind='period')
-----------------
AssertionEr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3610 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3610/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3610/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3610/events | https://github.com/pandas-dev/pandas/issues/3610 | 14,365,066 | MDU6SXNzdWUxNDM2NTA2Ng== | 3,610 | grouby( ... , as_index=False) convert "float64" to "object" type. | {
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"i... | 3 | 2013-05-15T15:44:38Z | 2013-05-15T19:28:17Z | 2013-05-15T19:27:59Z | NONE | null | ``` 'python
In [1]: import pandas as pd
In [2]: df = pd.DataFrame({"c1" : [1,2,6,6,8]})
In [3]: df["c2"] = df.c1/2.0
In [4]: df.groupby("c2").mean().reset_index().c2
Out[4]:
0 0.5
1 1.0
2 3.0
3 4.0
Name: c2, dtype: float64
In [5]: df.groupby("c2", as_index=False).mean().c2
Out[5]:
0 0.5
1 1
2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3611 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3611/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3611/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3611/events | https://github.com/pandas-dev/pandas/issues/3611 | 14,365,206 | MDU6SXNzdWUxNDM2NTIwNg== | 3,611 | Odd behavior from read_csv with na_values set to non-string values | {
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"i... | 34 | 2013-05-15T15:47:37Z | 2013-06-11T17:43:23Z | 2013-06-11T17:43:23Z | CONTRIBUTOR | null | read_csv behaves oddly when na_values is set to non-string values. Sometimes
it correctly replaces the assigned number with NaN, and sometimes it doesn't. Here are some examples. Note in particular the different behavior of the last two statements:
# Create file
df = DataFrame({'A' : [-999, 2, 3], 'B' : [1.2, -999, 4.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3612 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3612/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3612/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3612/events | https://github.com/pandas-dev/pandas/issues/3612 | 14,371,694 | MDU6SXNzdWUxNDM3MTY5NA== | 3,612 | DatetimeIndexes with day frequency hang when they have more than 2 elements | {
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"closed_at": "2013-12-30T19:53:14Z",
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"followers_url": "https://api.github.com/users/wesm... | 14 | 2013-05-15T18:13:32Z | 2013-10-09T19:11:19Z | 2013-10-09T19:10:20Z | MEMBER | null | See #3609. Copied (more or less) from there
``` python
dind = period_range('1/1/2001', '1/1/2002').to_timestamp()
s = Series(randn(dind.size), dind)
s.resample('T', kind='period') # hangs here
```
Doesn't hang (throws an error) for the simple case of
``` python
dind = period_range('1/1/2001', '1/2/2001').to_timest... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3613 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3613/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3613/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3613/events | https://github.com/pandas-dev/pandas/pull/3613 | 14,373,589 | MDExOlB1bGxSZXF1ZXN0NTczNDc4Mw== | 3,613 | BUG: Fix incorrect dtype on groupby with ``as_index=False`` (GH3610_) | {
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"i... | 0 | 2013-05-15T18:57:28Z | 2014-06-12T13:38:01Z | 2013-05-15T19:27:59Z | CONTRIBUTOR | null | closes #3610
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https://api.github.com/repos/pandas-dev/pandas/issues/3614 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3614/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3614/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3614/events | https://github.com/pandas-dev/pandas/pull/3614 | 14,378,969 | MDExOlB1bGxSZXF1ZXN0NTczNzkwNg== | 3,614 | ENH add date to DatetimeIndex | {
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"i... | 2 | 2013-05-15T21:00:01Z | 2014-06-26T11:26:58Z | 2013-05-17T16:00:23Z | CONTRIBUTOR | null | Allows the date to be pulled out from a DatetimeIndex easily/efficiently.
Similar to #3180, which was for the time-part to be extracted.
_From SO question: http://stackoverflow.com/questions/16563552/pandas-fancy-indexing-a-dataframe_.
~~I haven't added this to release notes, as maybe too late for 11.1?~~
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https://api.github.com/repos/pandas-dev/pandas/issues/3615 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3615/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3615/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3615/events | https://github.com/pandas-dev/pandas/pull/3615 | 14,382,207 | MDExOlB1bGxSZXF1ZXN0NTczOTc0OA== | 3,615 | BUG: (GH3611) Fix read_csv to correctly encode identical na_values | {
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"i... | 0 | 2013-05-15T22:16:46Z | 2014-06-27T14:18:58Z | 2013-05-16T01:01:21Z | CONTRIBUTOR | null | eg. na_values=[-999.0,-999] was failing
closes #3611
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"i... | 20 | 2013-05-15T22:17:07Z | 2014-06-18T01:06:50Z | 2013-05-20T11:43:11Z | MEMBER | null | Some updates and bug fixes. See release notes for more details.
- ~~`vbench` stuff~~ sort of pointless right now since we don't really have control over the speed of the parsing library
- ~~Figure out why `lxml` chooses to ignore things~~ reported a bug w/ example to lxml people
- ~~Figure out why `bs4`'s `thead.find_a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3617 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3617/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3617/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3617/events | https://github.com/pandas-dev/pandas/issues/3617 | 14,382,938 | MDU6SXNzdWUxNDM4MjkzOA== | 3,617 | Panel.iloc[] broken | {
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"i... | 2 | 2013-05-15T22:39:10Z | 2013-05-16T11:35:05Z | 2013-05-16T11:35:05Z | NONE | null | Panel.iloc[] doesn't index correctly given a mix of scalars and ranges
```
from pandas import Panel, date_range
from numpy.random import randn
p = Panel(randn(4, 4, 4))
print(p.iloc[:3, :3, :3].shape)
print(p.iloc[1, :3, :3].shape)
print(p.iloc[:3, 1, :3].shape)
print(p.iloc[:3, :3, 1].shape)
print(p.iloc[1, 1, :3].... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3618 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3618/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3618/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3618/events | https://github.com/pandas-dev/pandas/pull/3618 | 14,386,679 | MDExOlB1bGxSZXF1ZXN0NTc0MjM4NQ== | 3,618 | BUG: (GH3617) Fix indexing issue with ndim >= 3 with iloc | {
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"i... | 0 | 2013-05-16T00:57:42Z | 2014-06-30T17:14:22Z | 2013-05-16T11:35:05Z | CONTRIBUTOR | null | closes #3617
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https://api.github.com/repos/pandas-dev/pandas/issues/3619 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3619/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3619/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3619/events | https://github.com/pandas-dev/pandas/pull/3619 | 14,388,574 | MDExOlB1bGxSZXF1ZXN0NTc0MzQyNw== | 3,619 | BUG: Reindex data if plotting time/period index (GH3601) | {
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"i... | 4 | 2013-05-16T02:38:54Z | 2014-07-16T08:09:21Z | 2013-05-17T23:58:15Z | CONTRIBUTOR | null | Just wanted to push this fix to see if it looked OK and let the Travis build start.
If it looks ok, i will add something in the release notes and try to write a proper test.
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https://api.github.com/repos/pandas-dev/pandas/issues/3620 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3620/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3620/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3620/events | https://github.com/pandas-dev/pandas/pull/3620 | 14,402,545 | MDExOlB1bGxSZXF1ZXN0NTc1MDYwNw== | 3,620 | BUG: fixed platform int issues on 32-bit | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3621 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3621/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3621/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3621/events | https://github.com/pandas-dev/pandas/pull/3621 | 14,404,463 | MDExOlB1bGxSZXF1ZXN0NTc1MTY1Mg== | 3,621 | BUG: (GH3062) Correctly parse date columns with embedded (nan/NaT) into datetime64[ns] in read_csv | {
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"i... | 0 | 2013-05-16T13:00:16Z | 2014-07-16T08:09:24Z | 2013-05-16T13:38:33Z | CONTRIBUTOR | null | closes #3062
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https://api.github.com/repos/pandas-dev/pandas/issues/3622 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3622/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3622/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3622/events | https://github.com/pandas-dev/pandas/issues/3622 | 14,405,554 | MDU6SXNzdWUxNDQwNTU1NA== | 3,622 | PerformanceWarning: what is actually the problem I can change? | {
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```
C:\portabel\Python27\lib\site-packages\pandas\io\pytables.py:1788: PerformanceWarning:
your performance may suffer as PyTables will pickle object types that it cannot map
directly to c-types [inferred_type->mixed,key->axis0]
warnings.wa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3623 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3623/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3623/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3623/events | https://github.com/pandas-dev/pandas/pull/3623 | 14,408,458 | MDExOlB1bGxSZXF1ZXN0NTc1MzkwNw== | 3,623 | DOC: more informative PerformanceWarning in HDFStore | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3624 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3624/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3624/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3624/events | https://github.com/pandas-dev/pandas/issues/3624 | 14,415,502 | MDU6SXNzdWUxNDQxNTUwMg== | 3,624 | DataFrame.to_csv(f, index=False) fails after appending a column to the data frame | {
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"i... | 7 | 2013-05-16T16:50:31Z | 2013-05-16T18:44:33Z | 2013-05-16T17:38:59Z | CONTRIBUTOR | null | In [7]: pd.**version**
Out[7]: '0.12.0.dev-a026561'
In [8]: import pandas as pd
In [9]: df = pd.DataFrame({'c1':[1,2,3], 'c2':[4,5,6]})
In [10]: df.to_csv('f1.txt', index=False)
In [11]: df['c3'] = [7,8,9]
## In [12]: df.to_csv('f2.txt', index=False)
KeyError Traceback (most recent cal... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3625 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3625/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3625/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3625/events | https://github.com/pandas-dev/pandas/pull/3625 | 14,416,538 | MDExOlB1bGxSZXF1ZXN0NTc1ODM3OQ== | 3,625 | BUG: Fix not consolidating before to_csv (GH3624_) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3626 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3626/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3626/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3626/events | https://github.com/pandas-dev/pandas/issues/3626 | 14,422,011 | MDU6SXNzdWUxNDQyMjAxMQ== | 3,626 | Assigning dataframe by specifying both row/col doesn't handle nan correctly | {
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```
import numpy as np
import pandas as pd
if __name__ == '__main__':
df = pd.DataFrame({'FC':['a','b','a','b','a','b'],
'PF':[0,0,0,0,1,1],
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https://api.github.com/repos/pandas-dev/pandas/issues/3627 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3627/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3627/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3627/events | https://github.com/pandas-dev/pandas/pull/3627 | 14,426,721 | MDExOlB1bGxSZXF1ZXN0NTc2NDI1Mw== | 3,627 | BUG: (GH3588) fix pivoting with nan in the index | {
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"i... | 1 | 2013-05-16T21:04:18Z | 2014-06-14T22:46:49Z | 2013-05-19T16:55:29Z | CONTRIBUTOR | null | closed #3588
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https://api.github.com/repos/pandas-dev/pandas/issues/3628 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3628/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3628/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3628/events | https://github.com/pandas-dev/pandas/issues/3628 | 14,428,577 | MDU6SXNzdWUxNDQyODU3Nw== | 3,628 | systematic bug in pandas/io/sql.py when trying to write a dataframe of one column of integers into sqlite | {
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"i... | 22 | 2013-05-16T21:50:30Z | 2013-07-13T00:18:20Z | 2013-05-19T16:49:55Z | CONTRIBUTOR | null | Hello,
trying this code with pandasql, with ipython, I get a bogus result .
import pandas as pd
%load https://raw.github.com/yhat/pandasql/master/pandasql/sqldf.py
df=pd.DataFrame([ 1, 2], columns=['f'])
sqldf("select \* from df ", locals())
this gives the mysterious (binary ?) output:
f
0 (1, 0, 0, 0, 0, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3629 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3629/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3629/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3629/events | https://github.com/pandas-dev/pandas/issues/3629 | 14,435,269 | MDU6SXNzdWUxNDQzNTI2OQ== | 3,629 | frame values access is slow with large frames with different dtypes | {
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``` python
from pandas import DataFrame, concat
from numpy.random import randint, randn
from string import ascii_letters as letters
ncols = 16
nrows = 1e7
letters = list(letters)
df = DataFrame(randn(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3630 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3630/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3630/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3630/events | https://github.com/pandas-dev/pandas/pull/3630 | 14,437,816 | MDExOlB1bGxSZXF1ZXN0NTc3MDQzOA== | 3,630 | ENH: Add Series.sort ascending keyword | {
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"i... | 1 | 2013-05-17T04:47:14Z | 2014-07-16T08:09:34Z | 2013-05-19T21:14:06Z | CONTRIBUTOR | null | A convenience.
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https://api.github.com/repos/pandas-dev/pandas/issues/3631 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3631/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3631/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3631/events | https://github.com/pandas-dev/pandas/issues/3631 | 14,446,085 | MDU6SXNzdWUxNDQ0NjA4NQ== | 3,631 | iloc with boolean mask | {
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"i... | 42 | 2013-05-17T10:20:57Z | 2013-05-24T19:23:27Z | 2013-05-19T14:18:45Z | CONTRIBUTOR | null | Currently masking by boolean vectors it doesn't matter which syntax you use:
```
df[mask]
df.iloc[mask]
df.loc[mask]
```
are all equivalent. Should mask `df.iloc[mask]` mask by position? (this makes sense if mask is integer index).
This [SO question](http://stackoverflow.com/questions/16603765/what-is-the-most-idiom... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3632 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3632/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3632/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3632/events | https://github.com/pandas-dev/pandas/pull/3632 | 14,451,279 | MDExOlB1bGxSZXF1ZXN0NTc3NzQwMg== | 3,632 | BUG: (GH3626) issue with alignment of a DataFrame setitem with a piece of another DataFrame | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3633 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3633/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3633/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3633/events | https://github.com/pandas-dev/pandas/issues/3633 | 14,452,364 | MDU6SXNzdWUxNDQ1MjM2NA== | 3,633 | ipython segfaults when viewing DataFrame?? docs | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3634 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3634/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3634/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3634/events | https://github.com/pandas-dev/pandas/issues/3634 | 14,453,917 | MDU6SXNzdWUxNDQ1MzkxNw== | 3,634 | TextReader中文路径问题 (Bug with Chinese characters in file path) | {
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"i... | 7 | 2013-05-17T14:10:39Z | 2013-06-07T17:05:41Z | 2013-06-06T19:56:11Z | NONE | null | Traceback (most recent call last):
File "D:\wiki\pandas_test\hello_pandas.py", line 55, in <module>
tp = pd.read_csv('tmp测试.csv', iterator=True, chunksize=5000)
File "C:\Python27\lib\site-packages\pandas\io\parsers.py", line 401, in parser_f
<class 'pandas.tseries.index.DatetimeIndex'>
[2013-01-01 00:00:00, ...... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3635 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3635/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3635/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3635/events | https://github.com/pandas-dev/pandas/pull/3635 | 14,456,288 | MDExOlB1bGxSZXF1ZXN0NTc4MDE0Mw== | 3,635 | API: Raise on iloc indexing with a non-integer based boolean mask (GH3631) | {
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"i... | 0 | 2013-05-17T14:59:58Z | 2014-06-30T11:47:32Z | 2013-05-19T14:18:45Z | CONTRIBUTOR | null | closed #3631
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https://api.github.com/repos/pandas-dev/pandas/issues/3636 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3636/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3636/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3636/events | https://github.com/pandas-dev/pandas/pull/3636 | 14,464,326 | MDExOlB1bGxSZXF1ZXN0NTc4NDU3NA== | 3,636 | systematic failure when writing a dataframe of 1 column of integer. this should solve issue Issue #3628 | {
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"i... | 10 | 2013-05-17T18:00:56Z | 2014-06-25T05:42:34Z | 2013-05-19T15:33:15Z | CONTRIBUTOR | null | ...lite ( Issue #3628 )
A push of a dataframe of one column of integers fail ungraciously, because sqlite doesn't recognize well the data type.
This should solve the problem by converting back to normal types
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https://api.github.com/repos/pandas-dev/pandas/issues/3637 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3637/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3637/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3637/events | https://github.com/pandas-dev/pandas/issues/3637 | 14,467,485 | MDU6SXNzdWUxNDQ2NzQ4NQ== | 3,637 | drop from datetimeindex requires a timestamp | {
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"followers_url": "https://api.github.com/users/jorisva... | 1 | 2013-05-17T19:17:17Z | 2019-03-26T06:09:53Z | 2019-03-26T06:09:37Z | CONTRIBUTOR | null | See this [SO question](http://stackoverflow.com/a/16613835/1240268):
Apparently (for a DataFrame with DatetimeIndex) drop requires a Timestamp object (this is different from ix/loc which can cunningly work out you meant a timestamp, if fed a string).
```
In [11]: df1
Out[11]:
Price1 Price2 Pri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3638 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3638/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3638/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3638/events | https://github.com/pandas-dev/pandas/issues/3638 | 14,471,606 | MDU6SXNzdWUxNDQ3MTYwNg== | 3,638 | series str as an iterator | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3639 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3639/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3639/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3639/events | https://github.com/pandas-dev/pandas/pull/3639 | 14,472,235 | MDExOlB1bGxSZXF1ZXN0NTc4OTA5Mg== | 3,639 | single example for release notes | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3640 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3640/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3640/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3640/events | https://github.com/pandas-dev/pandas/issues/3640 | 14,475,815 | MDU6SXNzdWUxNDQ3NTgxNQ== | 3,640 | DOC: whatsnew.html has typo | {
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"i... | 1 | 2013-05-17T23:34:55Z | 2013-05-18T12:22:30Z | 2013-05-18T12:22:30Z | CONTRIBUTOR | null | I don't understand which rst file builds this page, but the one currently online here:
http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
as the following typo in it:
- added option display.with_wmp_style
the key `with_wmp_style` is not known. It sounds a bit like this should be
`display.mpl_style` which wor... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3641 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3641/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3641/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3641/events | https://github.com/pandas-dev/pandas/issues/3641 | 14,477,123 | MDU6SXNzdWUxNDQ3NzEyMw== | 3,641 | BUG: is StataReader supposed to assign the index? | {
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"followers_url": "https://api.github.com/users/wesm... | 12 | 2013-05-18T00:51:48Z | 2013-09-22T01:06:04Z | 2013-09-22T01:06:04Z | CONTRIBUTOR | null | This is the example in io.rst for Stata (in current master)
coming from PR #3270 and issue #1512
```
In [5]: from pandas.io.stata import StataWriter
In [6]: df = DataFrame(randn(10,2),columns=list('AB'))
In [7]: writer = StataWriter('stata.dta',df)
In [8]: writer.write_file()
```
I am not sure if you have enough i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3642 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3642/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3642/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3642/events | https://github.com/pandas-dev/pandas/issues/3642 | 14,484,487 | MDU6SXNzdWUxNDQ4NDQ4Nw== | 3,642 | plot forces ordering on Datetimeindex | {
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"i... | 13 | 2013-05-18T15:00:24Z | 2013-06-19T06:37:35Z | 2013-06-19T06:37:35Z | NONE | null | introduced by #3619, opening this to track the issue for 0.11.1.
While the user should be able to get sorted ticks when plotting, it should not
be forced on him. so either opt-in or opt-out but not "one size fits all".
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https://api.github.com/repos/pandas-dev/pandas/issues/3643 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3643/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3643/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3643/events | https://github.com/pandas-dev/pandas/pull/3643 | 14,484,730 | MDExOlB1bGxSZXF1ZXN0NTc5NDk0Ng== | 3,643 | WIP: Support metadata at de/serialization time (moved) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3644 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3644/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3644/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3644/events | https://github.com/pandas-dev/pandas/pull/3644 | 14,489,394 | MDExOlB1bGxSZXF1ZXN0NTc5NjUzMg== | 3,644 | BUG : Io sql one column (issue #3628) | {
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"i... | 1 | 2013-05-18T22:14:11Z | 2014-06-12T07:39:51Z | 2013-05-19T16:49:55Z | CONTRIBUTOR | null | closes #3628
This should be the proper pull request to
- TST test the problem,
- BUG the problem of panda fail to write a single column of integer to sqlite
Test successfully on Travis CI
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https://api.github.com/repos/pandas-dev/pandas/issues/3645 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3645/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3645/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3645/events | https://github.com/pandas-dev/pandas/pull/3645 | 14,490,828 | MDExOlB1bGxSZXF1ZXN0NTc5NzAzNg== | 3,645 | ENH: add Series.str iterator | {
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"i... | 0 | 2013-05-19T14:06:28Z | 2014-06-17T16:52:38Z | 2013-05-19T15:12:02Z | CONTRIBUTOR | null | closes #3602
DOC: added non-unique index issues to v0.11.1
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"i... | 12 | 2013-05-19T18:59:50Z | 2014-06-12T14:57:21Z | 2013-05-21T14:25:37Z | CONTRIBUTOR | null | ENH, CLN: When melt()'ing, allow for specification of custom variable and value names of the resulting DataFrame. Also fix indentation in melt() example to reflect actual output.
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https://api.github.com/repos/pandas-dev/pandas/issues/3650 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3650/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3650/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3650/events | https://github.com/pandas-dev/pandas/issues/3650 | 14,501,643 | MDU6SXNzdWUxNDUwMTY0Mw== | 3,650 | API: remove Factor | {
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] | closed | false | null | [] | null | 2 | 2013-05-19T23:36:53Z | 2013-05-21T12:11:06Z | 2013-05-21T12:11:06Z | CONTRIBUTOR | null | Consider the following example:
## Prepare the data:
```
import string
import random
import pandas as pd
matrix = np.random.random((100, 3000))
my_cols = [random.choice(string.ascii_uppercase) for x in range(matrix.shape[1])]
mydf = pd.DataFrame(matrix, columns=my_cols)
mydf['something'] = 'hello_world'
```
## Set hi... | {
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Once localized, the underlying timestamps are in UTC and remain in UTC, to revert to naive / no-timezone format with UTC timestamps corresponding to the equivalent local time is not a straigh... | {
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https://www.travis-ci.org/pydata/pandas/jobs/7320947
I don't think travis was actually testing html5lib stuff....(I just added it in)
its taken out right now
add in ci/install.sh (right after bs4)....and test
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"f... | 9 | 2013-05-20T18:31:31Z | 2014-05-29T06:53:23Z | 2014-05-29T06:53:23Z | NONE | null | It appears that it is not possible to create a Series from a dict whose keys are unorderable. `Series.__init__` unconditionally attempts to sort a dict that is passed as the data. This means that, for instance, you can't simply create a Series from a dict whose keys are complex numbers:
`>>> pandas.Series({1j: 1, 2j... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3659 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3659/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3659/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3659/events | https://github.com/pandas-dev/pandas/issues/3659 | 14,534,295 | MDU6SXNzdWUxNDUzNDI5NQ== | 3,659 | BUG: non unique indexing via loc broken | {
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"i... | 0 | 2013-05-20T19:16:07Z | 2013-05-20T23:34:40Z | 2013-05-20T23:34:40Z | CONTRIBUTOR | null | This throws a weird error
```
df = DataFrame({'A' : [1,2,3,4], 'B' : [3, 4, 5, 6]}, index = [0,1,0,1])
df.loc[1:]
```
https://groups.google.com/forum/?fromgroups#!topic/pydata/zTm2No0crYs
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https://api.github.com/repos/pandas-dev/pandas/issues/3660 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3660/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3660/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3660/events | https://github.com/pandas-dev/pandas/issues/3660 | 14,535,046 | MDU6SXNzdWUxNDUzNTA0Ng== | 3,660 | indexing | {
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import pandas as pd
from numpy.random import rand
idx = pd.date_range(start='5/20/2013', end='5/21/2013')
df = pd.DataFrame({k:(100*rand(len(idx))).astype('int') for k in ['6', '36']}, index=idx)
```
everything looks fine:
``` python
>>> df
36 6
2013-05-20 58 23
2013-05-21 68 31
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3661 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3661/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3661/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3661/events | https://github.com/pandas-dev/pandas/pull/3661 | 14,535,448 | MDExOlB1bGxSZXF1ZXN0NTgxNzY4MQ== | 3,661 | BUG: Non-unique indexing via loc and friends fixed when slicing (GH3659_) | {
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"i... | 2 | 2013-05-20T19:44:44Z | 2014-06-20T10:08:11Z | 2013-05-20T23:34:40Z | CONTRIBUTOR | null | closes #3659
This is if you try a non_monotonic selection on a non_unique index (a mouthful)!
The reason is we cannot determinate a proper start/end point on what to include
```
In [11]: df = DataFrame({'A' : [1,2,3,4,5,6], 'B' : [3,4,5,6,7,8]},
index = [0,1,0,1,2,3])
In [18]: df
Out[18]:
A B
0 1 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3662 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3662/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3662/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3662/events | https://github.com/pandas-dev/pandas/issues/3662 | 14,542,236 | MDU6SXNzdWUxNDU0MjIzNg== | 3,662 | Merge on single level of MultiIndex | {
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
"id": 526062,
"labels_url": "htt... | 20 | 2013-05-20T22:16:27Z | 2014-06-12T13:47:33Z | 2014-02-15T22:08:44Z | CONTRIBUTOR | null | I don't think we can do this now, but it potentially sounds useful...
http://stackoverflow.com/questions/16650945/merge-on-single-level-of-multiindex
https://groups.google.com/forum/#!topic/pydata/LBSFq6of8ao
Example:
```
In [10]: df = pd.DataFrame(randn(10,5))
In [11]: df1 = df[range(0, 3)].set_index([0, 2])
In [... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3663 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3663/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3663/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3663/events | https://github.com/pandas-dev/pandas/pull/3663 | 14,545,363 | MDExOlB1bGxSZXF1ZXN0NTgyMjk2Ng== | 3,663 | Rework display logic again. | {
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"i... | 8 | 2013-05-21T00:07:41Z | 2014-06-22T03:00:30Z | 2013-05-25T23:08:36Z | NONE | null | v0.11.0 introduced last-minute changes to the way the dataframe display logic works,
and they haven't proven themselves. The churn is unforunate, but if it's broken,
fix it.
`height` is deprecated.
max_rows solely determines the amount of rows displayed.
rebased on top of #3657.
Merging the previous PR and subseque... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3665 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3665/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3665/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3665/events | https://github.com/pandas-dev/pandas/pull/3665 | 14,548,327 | MDExOlB1bGxSZXF1ZXN0NTgyNDUyNw== | 3,665 | CLN: pandas stata reader should clean up after itself | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3666 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3666/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3666/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3666/events | https://github.com/pandas-dev/pandas/pull/3666 | 14,562,751 | MDExOlB1bGxSZXF1ZXN0NTgzMTMxMQ== | 3,666 | ENH: Allow fetching stock dividend and split info from yahoo | {
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``` python
from pandas.io.data import DataReader
```
Requesting dividends and splits but only dividends available
``` python
DataReader('CAT', 'yahoo', '12/31/04', '1/18/05', dividends=True, splits=True)
Dividends
Date
2005-01-18.0 0.205
```
Requesting dividends and spl... | {
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maybe allow these:
`pd.set_option(pat,val,pat,val`
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"i... | 0 | 2013-05-21T14:55:01Z | 2013-06-12T17:55:10Z | 2013-05-21T17:37:31Z | CONTRIBUTOR | null | ```
In [35]: df = pandas.DataFrame({'x':range(10), 'y':range(10,20),'z' : 'bar'})
In [36]: df.ix[df.x % 2 == 0, 'y'] = df.ix[df.x % 2 == 0, 'y'].values * 100
In [37]: df
Out[37]:
x y z
0 0 1000 bar
1 1 11 bar
2 2 1000 bar
3 3 13 bar
4 4 1000 bar
5 5 15 bar
6 6 1000 bar
7 7 17... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3669 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3669/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3669/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3669/events | https://github.com/pandas-dev/pandas/issues/3669 | 14,572,012 | MDU6SXNzdWUxNDU3MjAxMg== | 3,669 | string to date format ignored on apply | {
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"closed_at": "2013-12-30T19:53:14Z",
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2013-05-21T14:56:48Z | 2013-07-08T09:27:57Z | 2013-07-06T21:16:06Z | CONTRIBUTOR | null | _From the [So question](http://stackoverflow.com/questions/16672237/specifying-date-format-when-converting-with-pandas-to-datetime)._
I think apply be passing on the format keyword argument:
```
In [1]: s = pd.Series(['12/1/2012', '30/01/2012'])
In [2]: s.apply(pd.to_datetime, format='%d/%m/%Y')
Out[2]:
0 2012-12-... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3670 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3670/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3670/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3670/events | https://github.com/pandas-dev/pandas/pull/3670 | 14,576,444 | MDExOlB1bGxSZXF1ZXN0NTgzODI1MA== | 3,670 | BUG: Fix alignment issue when setitem in a mixed-DataFrame with a Series (GH3668) | {
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"i... | 0 | 2013-05-21T16:14:14Z | 2014-06-23T10:57:56Z | 2013-05-21T17:37:31Z | CONTRIBUTOR | null | closes #3668
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https://api.github.com/repos/pandas-dev/pandas/issues/3671 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3671/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3671/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3671/events | https://github.com/pandas-dev/pandas/pull/3671 | 14,580,773 | MDExOlB1bGxSZXF1ZXN0NTg0MDU0NQ== | 3,671 | BUG: convert_objects with convert_dates=coerce was parsing `a` into a date | {
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"i... | 0 | 2013-05-21T17:41:33Z | 2014-07-09T17:58:31Z | 2013-05-21T19:04:01Z | CONTRIBUTOR | null | this is a 'bug' in dateutil:
`a,t,m,p` are the offenders
```
In [1]: import dateutil
In [2]: dateutil.parser.parse('a')
Out[2]: datetime.datetime(2013, 5, 21, 0, 0)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3672 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3672/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3672/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3672/events | https://github.com/pandas-dev/pandas/issues/3672 | 14,583,407 | MDU6SXNzdWUxNDU4MzQwNw== | 3,672 | DOC: examples of how to do things with pd.set_option('display.*') in various cases | {
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"labels_url": "htt... | 0 | 2013-05-21T18:25:32Z | 2014-03-11T01:41:23Z | 2014-03-11T01:41:23Z | CONTRIBUTOR | null | see #3663
examples:
limit the max_columns, rows
(just set `max_rows or max_columns`)
but allow a certain number to be shown expaneded
(need `expand_frame_repr = False`)
setting line width to interact with the above
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https://api.github.com/repos/pandas-dev/pandas/issues/3673 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3673/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3673/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3673/events | https://github.com/pandas-dev/pandas/pull/3673 | 14,583,453 | MDExOlB1bGxSZXF1ZXN0NTg0MTY1OQ== | 3,673 | scatter_matrix bug | {
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"i... | 2 | 2013-05-21T18:26:36Z | 2014-07-16T08:10:09Z | 2013-06-03T01:18:28Z | CONTRIBUTOR | null | Currently scatter_matrix passes all unmatched keyword arguments to both scatter and line subplots (off-diagonal plots are scatter, diagonal plots are discrete or continuous histograms). I needed to color the points on the scatter plots but could not pass a "c" argument or pandas would try to pass the "c" argument to th... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3674 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3674/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3674/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3674/events | https://github.com/pandas-dev/pandas/issues/3674 | 14,586,735 | MDU6SXNzdWUxNDU4NjczNQ== | 3,674 | series.interpolate() corner cases | {
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"i... | 4 | 2013-05-21T19:40:29Z | 2013-06-13T18:43:02Z | 2013-06-13T18:42:47Z | CONTRIBUTOR | null | from the [pydata mailing list](https://groups.google.com/forum/?fromgroups#!topic/pydata/40-Yj9R0LJ4)
I've been using Series.interpolate(), and have noticed that, while it
leaves NaN entries alone if they precede a non-null value, it blows up if
there are no non-null entries. Wouldn't it make more sense just to leave
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https://api.github.com/repos/pandas-dev/pandas/issues/3675 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3675/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3675/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3675/events | https://github.com/pandas-dev/pandas/pull/3675 | 14,589,372 | MDExOlB1bGxSZXF1ZXN0NTg0NDk2NQ== | 3,675 | API: deprecate DataFrame.interpolate | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3676 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3676/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3676/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3676/events | https://github.com/pandas-dev/pandas/issues/3676 | 14,591,001 | MDU6SXNzdWUxNDU5MTAwMQ== | 3,676 | API: DataFrame.interpolate will be deprecated in v0.13 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3677 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3677/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3677/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3677/events | https://github.com/pandas-dev/pandas/pull/3677 | 14,594,998 | MDExOlB1bGxSZXF1ZXN0NTg0NzkzOA== | 3,677 | ENH: enhance set_option syntax | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3678 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3678/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3678/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3678/events | https://github.com/pandas-dev/pandas/issues/3678 | 14,596,149 | MDU6SXNzdWUxNDU5NjE0OQ== | 3,678 | Categoricals with NaNs | {
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"followers_url": "https://api.github.com/users/jr... | 8 | 2013-05-21T22:59:34Z | 2014-08-19T13:58:05Z | 2014-08-19T13:58:05Z | CONTRIBUTOR | null | Not sure how to handle this yet. It looks like NaNs do not become a level. Should they? Maybe so. Also describe fails if NaNs are present.
```
pandas.Categorical([np.nan, np.nan, 1, 1, 1, 2, 3, 4, 5, 5, 4, 3, 3]).describe()
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3679 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3679/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3679/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3679/events | https://github.com/pandas-dev/pandas/issues/3679 | 14,599,479 | MDU6SXNzdWUxNDU5OTQ3OQ== | 3,679 | BUG: cannot insert/delete to non-unique columns | {
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"i... | 2 | 2013-05-22T00:54:35Z | 2013-05-30T00:48:23Z | 2013-05-30T00:48:23Z | CONTRIBUTOR | null | This currently breaks
```
In [1]: df = DataFrame([[1,1,1,5],[1,1,2,5],[2,1,3,5]],columns=['foo','bar','foo','hello'])
In [2]: df['string'] = 'bar'
In [3]: df
IndexError: ('index out of bounds', u'occurred at index hello')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3680 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3680/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3680/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3680/events | https://github.com/pandas-dev/pandas/pull/3680 | 14,601,716 | MDExOlB1bGxSZXF1ZXN0NTg1MTI5Nw== | 3,680 | EHN: Add filter methods to SeriesGroupBy, DataFrameGroupBy GH919 | {
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"i... | 41 | 2013-05-22T02:43:16Z | 2014-06-15T15:23:56Z | 2013-06-06T21:06:26Z | CONTRIBUTOR | null | closes #919
I have been using Wes' workaround (see #919) for filtering groups. Finally, for brevity's sake, I wrote a real filter method. In the one simple case I checked, it performs faster than the workaround.
On a small (~10) Series:
```
In [7]: %timeit grouped.filter(lambda x: x.mean() > 10) # my method
1000 lo... | {
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"f... | 10 | 2013-05-22T03:00:05Z | 2014-05-29T06:58:24Z | 2014-05-29T06:58:24Z | NONE | null | I'm having an issue with undefined symbols to_boolean and to_double. I have tried a few different things, but with no success. This build is in a cluster environment and the following packages have been built from source previous before attempting the pandas build:
Python 2.7.3
NumPy 1.7.0
SciPy 0.12.0 beta1
mpi4py 1.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3682 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3682/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3682/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3682/events | https://github.com/pandas-dev/pandas/issues/3682 | 14,624,363 | MDU6SXNzdWUxNDYyNDM2Mw== | 3,682 | DataFrame.from_records doesn't get dtype from empty ndarray | {
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"i... | 0 | 2013-05-22T14:02:09Z | 2013-07-25T16:46:59Z | 2013-05-30T00:46:35Z | NONE | null | ``` python
a = np.array([(1, 2)], dtype=[('id', np.int64), ('value', np.int64)])
df = pd.DataFrame.from_records(a, index='id') # ok
b = np.array([], dtype=[('id', np.int64), ('value', np.int64)])
df = pd.DataFrame.from_records(b, index='id') # KeyError: 'id'
```
The cause is _to_arrays checks for empty data before un... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3683 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3683/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3683/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3683/events | https://github.com/pandas-dev/pandas/pull/3683 | 14,626,492 | MDExOlB1bGxSZXF1ZXN0NTg2MjkzMw== | 3,683 | BUG: allow insertion/deletion of columns in non-unique column DataFrames | {
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"i... | 6 | 2013-05-22T14:44:07Z | 2014-06-12T20:29:27Z | 2013-05-30T00:48:23Z | CONTRIBUTOR | null | closes #3679, #3687
Here's example of various operations
```
In [3]: df = DataFrame([[1,1,1,5],[1,1,2,5],[2,1,3,5]],
columns=['foo','bar','foo','hello'])
In [27]: df.columns.is_unique
Out[27]: False
In [4]: # insert
In [5]: df['string'] = 'bah'
In [6]: df
Out[6]:
foo bar foo hello string
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3684 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3684/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3684/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3684/events | https://github.com/pandas-dev/pandas/issues/3684 | 14,632,035 | MDU6SXNzdWUxNDYzMjAzNQ== | 3,684 | PERF: use statsmodels kde rather than scipy kde in plotting | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-05-22T16:26:29Z | 2013-09-22T01:09:34Z | 2013-09-22T01:09:34Z | CONTRIBUTOR | null | pandas already uses statsmodels for various stat functions, this seems natural (and can always fall back to the currernt method of statsmodels is not available)
https://groups.google.com/forum/?fromgroups#!topic/pydata/sQVPKD1RTrs
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"followers_url": "https://api.github.com/users/jr... | 6 | 2013-05-22T17:52:46Z | 2015-01-26T01:00:49Z | 2015-01-26T01:00:49Z | CONTRIBUTOR | null | Carrying over from [SO comments](http://stackoverflow.com/questions/16697869/getting-specific-median-from-data/16698053?noredirect=1#comment24034122_16698053)
Is it worth adding kwargs `start` and `stop` to enable this succinct usage?
```
df.resample('D', how='range', start=0, stop=3)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/3686 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3686/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3686/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3686/events | https://github.com/pandas-dev/pandas/issues/3686 | 14,640,292 | MDU6SXNzdWUxNDY0MDI5Mg== | 3,686 | dataframe.drop(col,axis=1) does not drop column from column.levels in multiindex dataframe | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3687 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3687/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3687/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3687/events | https://github.com/pandas-dev/pandas/issues/3687 | 14,668,931 | MDU6SXNzdWUxNDY2ODkzMQ== | 3,687 | Dataframe non unique column renaming | {
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"i... | 3 | 2013-05-23T11:10:38Z | 2013-05-30T00:48:55Z | 2013-05-30T00:48:55Z | CONTRIBUTOR | null | If you try and change the column names of a DataFrame with non-unique column names, it seems to throw and error (11.0 and dev).
```
In [1]: df = pd.DataFrame(np.random.randn(3, 2), columns=['A', 'A'])
In [2]: df.columns = range(2)
---------------------------------------------------------------------------
Exception ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3688 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3688/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3688/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3688/events | https://github.com/pandas-dev/pandas/issues/3688 | 14,671,479 | MDU6SXNzdWUxNDY3MTQ3OQ== | 3,688 | Groupby aggregations could ignore non-numeric columns when axis=1 | {
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"f... | 5 | 2013-05-23T12:29:21Z | 2021-10-29T01:57:34Z | null | CONTRIBUTOR | null | Perhaps the following [groupby aggregation](http://pandas.pydata.org/pandas-docs/dev/groupby.html#cython-optimized-aggregation-functions) should work only the numeric columns, as they would when using the dataframe:
```
In [1]: df = pd.DataFrame({'bar': {0: 1, 1: 1, 2: 1}, 'foo': {0: 0, 1: 1, 2: 2}, 'foo1': {0: 1, ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3689 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3689/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3689/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3689/events | https://github.com/pandas-dev/pandas/issues/3689 | 14,684,117 | MDU6SXNzdWUxNDY4NDExNw== | 3,689 | mean over axis=1 in not-completely-numeric frame returns all nans | {
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... | 12 | 2013-05-23T16:47:40Z | 2021-04-11T02:04:08Z | null | MEMBER | null | DataFrame from #3688. This might be related to that:
``` python
df = pd.DataFrame({'bar': {0: 1, 1: 1, 2: 1}, 'foo': {0: 0, 1: 1, 2: 2}, 'foo1': {0: 1, 1: 2, 2: 3}, 'hello': {0: 'a', 1: 'a', 2: 'a'}}, columns=['bar', 'foo', 'foo', 'hello'])
print df.T.sum(1) == df.sum() # fine. + is str cat
print df.T.mean(1).isnull(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3690 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3690/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3690/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3690/events | https://github.com/pandas-dev/pandas/issues/3690 | 14,716,764 | MDU6SXNzdWUxNDcxNjc2NA== | 3,690 | Problem using panel.to_frame() conversion | {
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Basically I wanted to kind of replicate the example given in the doc about to_frame() with data that I have.
In the doc:
panel = Panel(np.random.randn(3, 5, 4), items=['one', 'two', 'three'], major_axis=date_range('1/1/2000', periods=5), minor_axis=['a', 'b', 'c', 'd'])
gives:
<class 'pandas.core.panel.Pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3691 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3691/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3691/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3691/events | https://github.com/pandas-dev/pandas/issues/3691 | 14,734,635 | MDU6SXNzdWUxNDczNDYzNQ== | 3,691 | Implement __nonzero__ | {
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"i... | 4 | 2013-05-24T16:59:20Z | 2013-06-25T18:38:49Z | 2013-05-30T16:45:00Z | NONE | null | It would be nice if dataframe instances implemented `__nonzero__` so you could test if a dataframe is empty or not as if it were a boolean.
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https://api.github.com/repos/pandas-dev/pandas/issues/3692 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3692/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3692/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3692/events | https://github.com/pandas-dev/pandas/issues/3692 | 14,743,580 | MDU6SXNzdWUxNDc0MzU4MA== | 3,692 | Problem with pip install on OSX | {
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Downloading/unpacking pandas
Running setup.py egg_info for package pandas
```
warning: no files found matching 'TODO.rst'
warning: no files found matching 'setupegg.py'
no previously-included directories found matching 'doc/build'
warni... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3693 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3693/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3693/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3693/events | https://github.com/pandas-dev/pandas/pull/3693 | 14,750,297 | MDExOlB1bGxSZXF1ZXN0NTkyODQ0Mw== | 3,693 | CLN: added io.api for i/o importing functions | {
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"i... | 12 | 2013-05-25T00:40:50Z | 2014-07-16T08:10:24Z | 2013-05-30T16:32:27Z | CONTRIBUTOR | null | closes most of #3411 (all except the deprecation of `from_csv`)
- moved excel functionaility out of io.parsers to io.excel
added read_excel top-level function
aliases from pandas.io.excel
- added read_stata top-level function, to_stata DataFrame method
aliases from pandas.io.stata
removed read_dta (replace by r... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3694 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3694/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3694/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3694/events | https://github.com/pandas-dev/pandas/pull/3694 | 14,764,271 | MDExOlB1bGxSZXF1ZXN0NTkzMzI5MA== | 3,694 | Test to verify/fix behavior in #3503 | {
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"i... | 0 | 2013-05-25T23:36:33Z | 2014-07-16T08:10:25Z | 2013-06-02T20:38:25Z | MEMBER | null | Was not able to reproduce the issue. #3503
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https://api.github.com/repos/pandas-dev/pandas/issues/3695 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3695/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3695/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3695/events | https://github.com/pandas-dev/pandas/issues/3695 | 14,764,391 | MDU6SXNzdWUxNDc2NDM5MQ== | 3,695 | Tags to dummies helper function | {
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"description": "2014-02-3: previous version released",
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"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
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"labels_url": "htt... | 7 | 2013-05-25T23:53:22Z | 2016-10-12T23:03:50Z | 2014-01-28T00:52:46Z | MEMBER | null | from @jreback's clever data alignment trick: http://stackoverflow.com/questions/16637171/pandas-reshaping-data
not sure where this should go, it does come up quite frequently, e.g. the Movielens data set https://raw.github.com/pydata/pydata-book/master/ch02/movielens/movies.dat:
```
df = read_table('https://raw.githu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3696 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3696/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3696/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3696/events | https://github.com/pandas-dev/pandas/pull/3696 | 14,778,845 | MDExOlB1bGxSZXF1ZXN0NTkzODEyMQ== | 3,696 | ENH/API: implement __nonzero__ for NDFrame | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3697 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3697/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3697/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3697/events | https://github.com/pandas-dev/pandas/issues/3697 | 14,809,979 | MDU6SXNzdWUxNDgwOTk3OQ== | 3,697 | BUG? when incrementing .loc[]-view | {
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PS. on the second thought it looks related to #3492, but I don't have a dev environment at hand to test and it fails for some reason when trying to build pandas via pip. If that's the case and it's already fixed, my apologies and feel free to close this one.
Steps to re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3698 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3698/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3698/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3698/events | https://github.com/pandas-dev/pandas/issues/3698 | 14,810,182 | MDU6SXNzdWUxNDgxMDE4Mg== | 3,698 | DataFrame apply change return type from Series to DataFrame if result is empty | {
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... | 9 | 2013-05-27T20:44:10Z | 2016-02-17T13:38:49Z | 2016-02-17T13:38:49Z | NONE | null | pd.version.version ## return '0.11.0'
x = pd.DataFrame({'a': range(10), 'b': range(10)})
type(x.apply(lambda x: x['a'] + x['b'], 1)) # <class 'pandas.core.series.Series'>
x['c'] = x.apply(lambda x: x['a'] + x['b'], 1) ## works
x = x[x['a'] < 0]
type(x.apply(lambda x: x['a'] + x['b'], 1)) # <class 'pandas.core.frame.D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3699 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3699/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3699/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3699/events | https://github.com/pandas-dev/pandas/issues/3699 | 14,812,788 | MDU6SXNzdWUxNDgxMjc4OA== | 3,699 | Failure to write large dataframe to file: "SystemError: error return without exception set" | {
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```
TLID2,NEAR_DIST,TLID1,TLID2,yr1,yr2,yr2_older
104519610,487,104519631,104519610,1952.0,1912.0,True
104519610,418,104519632,104519610,,1912.0,False
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https://api.github.com/repos/pandas-dev/pandas/issues/3700 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3700/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3700/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3700/events | https://github.com/pandas-dev/pandas/pull/3700 | 14,819,959 | MDExOlB1bGxSZXF1ZXN0NTk1NTAxMg== | 3,700 | DOC: use na_rep not nanRep in .to_csv() | {
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