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https://api.github.com/repos/pandas-dev/pandas/issues/5801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5801/events | https://github.com/pandas-dev/pandas/issues/5801 | 24,902,304 | MDU6SXNzdWUyNDkwMjMwNA== | 5,801 | BUG: datetime with datetime ops very slow | {
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"description": "Memory or... | closed | false | null | [] | {
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In [1]: df = pd.DataFrame({ 'date1' : pd.Timestamp('20130101'), 'date2' : pd.date_range('20120101',periods=1000000,freq='s') })
In [2]: %timeit df['date1']-df['date2']
1 loops, best of 3: 2.17 s per loop
```
pretty easy fix; don't need to infer if its a series (as we know its dtype already)
should be more like t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5802/events | https://github.com/pandas-dev/pandas/pull/5802 | 24,903,558 | MDExOlB1bGxSZXF1ZXN0MTExNTA0MjI= | 5,802 | PERF: fix infer_dtype to properly infer a Series (GH5801) | {
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```
------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
timestamp_ops_diff2 | 21.7124 | 2472.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5803/events | https://github.com/pandas-dev/pandas/pull/5803 | 24,907,391 | MDExOlB1bGxSZXF1ZXN0MTExNTI2MjY= | 5,803 | BLD: version strings should be updated only when tagging new release | {
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Version strings are bumped only when tagging a new release.
```
% grh v0.13.0rc1^
% sudo python ./setup.py develop
% cat pandas/version.py
version = '0.12.0-1189-gd9b3340'
short_version = '0.12.0'
```
It makes sense since it leaves the ne... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5804 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5804/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5804/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5804/events | https://github.com/pandas-dev/pandas/issues/5804 | 24,908,577 | MDU6SXNzdWUyNDkwODU3Nw== | 5,804 | DOC: add a section on growing pandas ecosystem | {
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"followers_url": "https://api.github.com/users/... | 4 | 2013-12-31T01:34:26Z | 2014-01-03T02:58:01Z | 2014-01-03T02:58:01Z | NONE | null | Incresingly, python packages are being built on top of pandas.
Often, these solve problems pandas users need addressed
but which are a stretch for pandas' scope proper.
#2302, and [pandas-xlsxwriter-charts](http://pandas-xlsxwriter-charts.readthedocs.org/en/latest/chart_examples.html#scatter-chart), for example. vincen... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5807 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5807/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5807/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5807/events | https://github.com/pandas-dev/pandas/issues/5807 | 24,922,617 | MDU6SXNzdWUyNDkyMjYxNw== | 5,807 | Yahoo URL has changed... | {
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If i create a new DataReader... ticker_data = DataReader("SPY", "yahoo")
I get..
IOError: after 3 tries, Yahoo! did not return a 200 for url 'http://ichart.yahoo.com/table.csv?s=SPY&a=0&b=1&c=2010&d=11&e=31&f=2013&g=d&ignore=.csv'
I believe .finance nee... | {
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In [4]: DataFrame(index=[1]) & DataFrame(index=[1])
TypeError: ufunc 'bitwise_and' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
```
should just return an empty frame (also raises if one side is non-empty)
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https://api.github.com/repos/pandas-dev/pandas/issues/5810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5810/events | https://github.com/pandas-dev/pandas/pull/5810 | 24,923,193 | MDExOlB1bGxSZXF1ZXN0MTExNjA4NTY= | 5,810 | BUG: fix issue of boolean comparison on empty DataFrames (GH5808) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5811/events | https://github.com/pandas-dev/pandas/pull/5811 | 24,925,705 | MDExOlB1bGxSZXF1ZXN0MTExNjIxMjE= | 5,811 | Update yahoo url in data.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5812/events | https://github.com/pandas-dev/pandas/pull/5812 | 24,932,889 | MDExOlB1bGxSZXF1ZXN0MTExNjYwNzk= | 5,812 | BUG: Yahoo finance changed chart base url. Updated _get_hist_yahoo | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5813/events | https://github.com/pandas-dev/pandas/issues/5813 | 24,933,328 | MDU6SXNzdWUyNDkzMzMyOA== | 5,813 | please add quick documentation on pandas timestamp values of month, day of week | {
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```
dec31 = pd.Timestamp('2013... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5814/events | https://github.com/pandas-dev/pandas/pull/5814 | 24,942,952 | MDExOlB1bGxSZXF1ZXN0MTExNzA3Mzc= | 5,814 | DOC: add way to document DatetimeIndex field attributes | {
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Related to issue #5813 (but does not closes it, this only documents the DatetimeIndex field in the api.rst, not more general the Timestamp values).
I added the attribute docstring within the `_field_accessor` function. Is this a good approa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5815/events | https://github.com/pandas-dev/pandas/pull/5815 | 24,944,095 | MDExOlB1bGxSZXF1ZXN0MTExNzExNTk= | 5,815 | PERF: perf issue with dropna on frame | {
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```
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
frame_dropna_axis1_... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5816/events | https://github.com/pandas-dev/pandas/issues/5816 | 24,944,175 | MDU6SXNzdWUyNDk0NDE3NQ== | 5,816 | @network decorator can mask failed tests | {
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The skip behaviour was motivated by travis failing tests due to
wonky net cinnectivity which can mask actual problems such as broken urls.
Perhaps make the behavior conditional on environment (travis can be detected via
environment vars)
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https://api.github.com/repos/pandas-dev/pandas/issues/5817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5817/events | https://github.com/pandas-dev/pandas/pull/5817 | 24,948,484 | MDExOlB1bGxSZXF1ZXN0MTExNzI4NTA= | 5,817 | CLN: Make io/data urls easier to monkey-patch | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-02T00:46:13Z | 2014-07-16T08:44:56Z | 2014-01-03T00:06:25Z | CONTRIBUTOR | null | This could be useful to make pandas more resilient to basic url changes
like that which happened with yahoo finance. That said, clearly
wholesale API changes won't be helped by this.
What do you all think, worth it to make this relatively trivial change?
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https://api.github.com/repos/pandas-dev/pandas/issues/5818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5818/events | https://github.com/pandas-dev/pandas/issues/5818 | 24,953,057 | MDU6SXNzdWUyNDk1MzA1Nw== | 5,818 | DatetimeIndex columns cause reset_index() to throw AttributeError | {
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-02T06:38:36Z | 2014-01-24T22:20:51Z | 2014-01-24T22:20:51Z | NONE | null | It appears that if a dataframe has column headers of type DatetimeIndex, calling reset_index() throws `AttributeError: 'str' object has no attribute 'view'`. I see this both in v0.12 and the master branch.
If column headers are strings or integers, reset_index() works fine.
I'm guessing it's treating the new column ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5819/events | https://github.com/pandas-dev/pandas/pull/5819 | 24,953,572 | MDExOlB1bGxSZXF1ZXN0MTExNzUxMjM= | 5,819 | BUG: Fix DatetimeIndex.insert() with strings. | {
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"followers_url": "https://api.github.com/users/... | 8 | 2014-01-02T07:14:00Z | 2014-07-09T11:59:16Z | 2014-01-24T22:20:52Z | CONTRIBUTOR | null | Falls back to object Index instead. (previously wasn't checking for them), but _only_ strings are allowed.
Fixes #5818.
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https://api.github.com/repos/pandas-dev/pandas/issues/5820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5820/events | https://github.com/pandas-dev/pandas/pull/5820 | 24,960,351 | MDExOlB1bGxSZXF1ZXN0MTExNzg1MjQ= | 5,820 | BUG: dropna dtype comp issue related (GH5815) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5821/events | https://github.com/pandas-dev/pandas/issues/5821 | 24,961,821 | MDU6SXNzdWUyNDk2MTgyMQ== | 5,821 | KeyError on slicing with datetime or pandas.Timestamp | {
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The 'KeyError' on slicing was discussed multiple times but I'm still not sure if the issue below is a bug or just my misunderstanding.
I'm experiencing 'KeyError' from time to time when I try to slice my dataframes with datetime or Timestamp objects, however slicing with strings w... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5822/events | https://github.com/pandas-dev/pandas/issues/5822 | 24,972,470 | MDU6SXNzdWUyNDk3MjQ3MA== | 5,822 | pandas series 'astype' conversion different from numpy.array 'astype' conversion | {
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"labels_url": "htt... | 2 | 2014-01-02T16:16:14Z | 2014-02-14T13:09:40Z | 2014-02-14T13:09:40Z | NONE | null | I am confused by the dtype conversion function "astype" for pandas series. According to documentation, it should be the same as numpy.ndarray dtype conversion, but seems there is stil some difference. For example, if I try to convert columns of datetime type to object dtype, I got completely different results using ast... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5823/events | https://github.com/pandas-dev/pandas/issues/5823 | 24,977,392 | MDU6SXNzdWUyNDk3NzM5Mg== | 5,823 | ENH: support a simultaneous mutli-index on both index AND columns in a Frame with HDFStore | {
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"f... | 0 | 2014-01-02T17:52:10Z | 2018-07-08T14:44:22Z | null | CONTRIBUTOR | null | http://stackoverflow.com/questions/20888226/pandas-hdfstore-tables-doesnt-accept-multiindex-columns/20888732#20888732
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https://api.github.com/repos/pandas-dev/pandas/issues/5824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5824/events | https://github.com/pandas-dev/pandas/issues/5824 | 24,979,132 | MDU6SXNzdWUyNDk3OTEzMg== | 5,824 | Numpy 1.8 `DeprecationWarning` in compat/scipy.py | {
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"labels_url": "htt... | 20 | 2014-01-02T18:30:31Z | 2014-04-16T13:04:41Z | 2014-04-16T13:04:41Z | CONTRIBUTOR | null | Not sure how pressing this is, but with `DeprecationWarning` enabled, I notice that numpy 1.8 is raising a warning during the following call to `describe()`. [side note: enabled DeprecationWarning in my test suite after learning that it was changed in py2.7 to "ignore" by default.]
```
import pandas as pd
import warn... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5825/events | https://github.com/pandas-dev/pandas/issues/5825 | 24,984,307 | MDU6SXNzdWUyNDk4NDMwNw== | 5,825 | ENH: Improved (JMP-like) Box Plot Hierarchy Labels | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5826 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5826/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5826/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5826/events | https://github.com/pandas-dev/pandas/pull/5826 | 24,989,875 | MDExOlB1bGxSZXF1ZXN0MTExOTM2MTI= | 5,826 | DOC: Add example to extract docstring, and re-explain change to match. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5827 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5827/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5827/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5827/events | https://github.com/pandas-dev/pandas/issues/5827 | 24,990,966 | MDU6SXNzdWUyNDk5MDk2Ng== | 5,827 | setup.py breaks builds | {
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debian builder is broken after latest edits of the setup.py
https://github.com/pydata/pandas/commits/master/setup.py
error
```
raceback (most recent call last):
File "setup.py", line 213, in <module>
if pipe.returncode != 0:
NameError: name 'pipe' is not defined
dh_auto_clean: python setup.py clean -a re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5828 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5828/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5828/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5828/events | https://github.com/pandas-dev/pandas/pull/5828 | 24,998,521 | MDExOlB1bGxSZXF1ZXN0MTExOTg3MDM= | 5,828 | DOC: add pandas-xlsxwriter-charts ipnb to cookbook | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5829/events | https://github.com/pandas-dev/pandas/pull/5829 | 24,999,588 | MDExOlB1bGxSZXF1ZXN0MTExOTkyNTQ= | 5,829 | DOC: add 'pandas ecosystem' section to docs | {
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Feel free to suggest a better blurb if you'd like.
Replaces the `related libraries` section, which I feel is outdated.
closes #5804
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https://api.github.com/repos/pandas-dev/pandas/issues/5830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5830/events | https://github.com/pandas-dev/pandas/issues/5830 | 25,000,255 | MDU6SXNzdWUyNTAwMDI1NQ== | 5,830 | test_partially_invalid_plot_data: AssertionError: TypeError not raised (python3.3, ubuntu 13.04 amd64) | {
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======================================================================
FAIL: test_partially_invalid_plot_data (pandas.tests.test_graphics.TestDataFramePlots)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/tmp/buildd/pandas-0.13.0/debian/tmp/usr/lib... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5831/events | https://github.com/pandas-dev/pandas/issues/5831 | 25,001,200 | MDU6SXNzdWUyNTAwMTIwMA== | 5,831 | python3.2 difficulty to use pre-generated pandas/msgpack.cpp | {
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"followers_url": "https://api.github.com/users/... | 4 | 2014-01-03T04:23:58Z | 2014-01-15T21:16:50Z | 2014-01-10T12:26:16Z | CONTRIBUTOR | null | on all aged Debian/Ubuntus (e.g. wheeze) where I build using pre-cythonized sources python3.2 seems to become blind and tries only to look for msgpack.c, not msgpack.cpp:
```
~/pandas-0.13.0# python3.2 setup.py build_ext
running build_ext
Traceback (most recent call last):
File "setup.py", line 583, in <module>
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https://api.github.com/repos/pandas-dev/pandas/issues/5832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5832/events | https://github.com/pandas-dev/pandas/issues/5832 | 25,014,620 | MDU6SXNzdWUyNTAxNDYyMA== | 5,832 | ENH: axis keyword for groupby apply? | {
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"id": ... | closed | false | null | [] | null | 10 | 2014-01-03T13:35:07Z | 2017-08-10T23:17:37Z | 2015-10-20T22:25:32Z | MEMBER | null | Inspired by this [SO question](http://stackoverflow.com/questions/20875140/apply-function-to-sets-of-columns-in-pandas-looping-over-entire-data-frame-co), I was wondering if the possibility of being able to give an axis keyword to `GroupBy.apply` would be interesting.
An example. Considering this dataframe:
```
In [1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5833/events | https://github.com/pandas-dev/pandas/pull/5833 | 25,016,435 | MDExOlB1bGxSZXF1ZXN0MTEyMDgwMDg= | 5,833 | DOC: change doc refs to 0.13.1 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5834/events | https://github.com/pandas-dev/pandas/issues/5834 | 25,016,864 | MDU6SXNzdWUyNTAxNjg2NA== | 5,834 | Joining DataFrames (or Series) and Series. | {
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"description": "Concat, ... | closed | false | null | [] | {
"closed_at": "2014-05-30T12:17:57Z",
"closed_issues": 755,
"created_at": "2014-01-03T20:19:04Z",
"creator": null,
"description": "2014-02-3: previous version released",
"due_on": "2014-05-31T07:00:00Z",
"html_url": "https://github.com/pandas-dev/pandas/milestone/24",
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"labels_url": "htt... | 5 | 2014-01-03T14:38:04Z | 2014-02-18T20:24:11Z | 2014-02-18T20:24:11Z | CONTRIBUTOR | null | ```
pd.version.version
'0.12.0-1149-g141e93a'
```
Maybe already fixed, but I'm afraid to upgrade in the middle of working on a project given past experiences.
As I recall there were several ways proposed to join a series to a DataFrame with join being the preferred way.
```
df = pd.DataFrame(np.random.random((30,2)... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5835/events | https://github.com/pandas-dev/pandas/issues/5835 | 25,023,174 | MDU6SXNzdWUyNTAyMzE3NA== | 5,835 | BUG: duplicate selection with missing values raises | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-03T16:47:19Z | 2014-01-04T18:53:09Z | 2014-01-04T18:53:09Z | CONTRIBUTOR | null | Hard to reprod.
Select from a duplicate indexed axis in a frame with ix where part of the
selection set is missing
```
In [22]: df = DataFrame(np.random.randn(5,5),columns=['A.1','B.1','B.2','B.3','A.2'],index=date_range('20130101',periods=5))
In [23]: df2 = df.rename(columns=lambda x: x.split('.')[0])
In [24]: df2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5836/events | https://github.com/pandas-dev/pandas/issues/5836 | 25,025,719 | MDU6SXNzdWUyNTAyNTcxOQ== | 5,836 | Update copyright strings in docs and repo | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-03T17:37:35Z | 2014-01-13T16:30:15Z | 2014-01-13T16:30:15Z | NONE | null | To 2008-2014.
a formality, but indicates the project is active.
| {
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https://api.github.com/repos/pandas-dev/pandas/issues/5837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5837/events | https://github.com/pandas-dev/pandas/issues/5837 | 25,028,248 | MDU6SXNzdWUyNTAyODI0OA== | 5,837 | DOC: should we include links to pandas tutorials in the main docs? | {
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"followers_url": "https://api.github.com/users/... | 11 | 2014-01-03T18:31:37Z | 2016-10-12T23:04:28Z | 2014-01-25T17:13:33Z | CONTRIBUTOR | null | Template page is here:
https://github.com/pydata/pandas/blob/master/doc/source/tutorials.rst
## Samples
www.bearrelroll.com/2013/05/python-pandas-tutorial
bunch on this page
http://datacommunitydc.org/blog/2013/07/python-for-data-analysis-the-landscape-of-tutorials/
http://www.randalolson.com/2012/08/06/statistical... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5838 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5838/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5838/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5838/events | https://github.com/pandas-dev/pandas/pull/5838 | 25,028,561 | MDExOlB1bGxSZXF1ZXN0MTEyMTQ3NTk= | 5,838 | DOC: minor fix in extract docstring | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5839/events | https://github.com/pandas-dev/pandas/issues/5839 | 25,035,664 | MDU6SXNzdWUyNTAzNTY2NA== | 5,839 | df.groupby().apply() with only one group returns wrong shape! | {
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... | 19 | 2014-01-03T21:02:49Z | 2018-05-25T17:40:08Z | 2016-05-09T20:37:17Z | NONE | null | I have reached a corner case in the wonderful groupby().apply() method. A groupby with only **one** group causes the apply method to return the wrong output shape. Instead of a series with a multi-index the result is retunred as a DataFrame with last row index level as columns. :frowning:
``` python
In [1]: import n... | {
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I compare the output from `read_gbq()` to that of a CSV export from BigQuery directly. Interestingly, there are the same number of rows in each output - however, there are many duplicates in the `read_gbq()` output.
I'm using Pa... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5841/events | https://github.com/pandas-dev/pandas/issues/5841 | 25,037,122 | MDU6SXNzdWUyNTAzNzEyMg== | 5,841 | infer_freq borks on PeriodIndex | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-03T21:32:59Z | 2014-04-05T15:36:03Z | 2014-01-04T18:48:48Z | CONTRIBUTOR | null | Should PeriodIndex pass through infer_freq and return freqstr or should this be the user's problem? Either is a simple fix. The latter should just have a better error message. Right now
```
from pandas.tseries.api import infer_freq
from pandas import PeriodIndex
infer_freq(PeriodIndex(start="1/1/1990", periods=20, fr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5842/events | https://github.com/pandas-dev/pandas/pull/5842 | 25,040,318 | MDExOlB1bGxSZXF1ZXN0MTEyMjE3NTE= | 5,842 | Add pandas cookbook to tutorials (for #5837) | {
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I haven't been able to test that this displays correctly as I can't figure out how to build the Sphinx docs.
If someone can tell me how to build the docs, I can test it.
```
bork@kiwi ~/c/p/pandas> pwd
/home/bork/clones/... | {
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@yarikoptic, can you confirm this fixes the problem?
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`ValueError: Unknown keyword argument 'truediv'` from numexpr and `AssertionError: Did not use numexpr as expected` in test_expressions
Full log http://neuro.debian.net/_files/_buildlogs/pandas/0.13.0/pandas_0.13.0-2~nd12.04+1_i386.build
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```
import pandas as pd
df = pd.DataFrame()
df.tail()
```
traceback:
https://gist.github.com/MichaelWS/8256143
Should this be fixed by returning the frame if empty on calls to iloc?
We can check for empty in tail on length as well or create ... | {
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calling tail on an empty frame threw an exception. In addition, df.tail(0) returns self without indexing.
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https://api.github.com/repos/pandas-dev/pandas/issues/5849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5849/events | https://github.com/pandas-dev/pandas/pull/5849 | 25,056,791 | MDExOlB1bGxSZXF1ZXN0MTEyMjk2MzQ= | 5,849 | BUG: Bug in selection with missing values via .ix from a duplicate indexed DataFrame failing | {
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A reproduction of the new docs section
Applying with a Panel will pass a Series to the applied function. If the applied function returns a Series, the result of the application will be a Panel. If the applied function reduces to a scalar, the result of the application will be a DataFrame.
Note Prior to ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5851/events | https://github.com/pandas-dev/pandas/issues/5851 | 25,058,791 | MDU6SXNzdWUyNTA1ODc5MQ== | 5,851 | Debian wheezy test failure: test_pytables.py:test_encoding 'f' != 'foo' | {
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======================================================================
FAIL: test_encoding (pandas.io.tests.test_pytables.TestHDFStore)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/tmp/buildd/pandas-0.13.0/debian/tmp/usr/lib/python2.7/dist-packag... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5852 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5852/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5852/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5852/events | https://github.com/pandas-dev/pandas/issues/5852 | 25,062,434 | MDU6SXNzdWUyNTA2MjQzNA== | 5,852 | Frequency alias bug? MS -> millisecond or MonthBegin? | {
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```
pd.tseries.frequencies.get_standard_f... | {
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https://github.com/ipython/ipython/blob/master/tools/gh_api.py
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re SetttingWithCopy.
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compatibility.
Fixes #5857, #5855, #5845.
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related #5853
DataFrame._ixs will properly record a cache change (similar to _get_item_cache)
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Using the latest 0.13-dev version of Pandas, I think I m... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5863/events | https://github.com/pandas-dev/pandas/issues/5863 | 25,131,370 | MDU6SXNzdWUyNTEzMTM3MA== | 5,863 | "high" datetime conversion incorrect | {
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I have a situation where I have "far away" end dates (3 examples included below). Normal Python strptime conversion handles this correctly, but the to_datetime functionality does a Martin McFly and ends up in the 1800s. See this example that reproduces it:
```
# input
time_ser = pd.Series([np.nan, '2013-04-08 00:... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5864/events | https://github.com/pandas-dev/pandas/pull/5864 | 25,138,810 | MDExOlB1bGxSZXF1ZXN0MTEyNjkzMTk= | 5,864 | BUG: bug in to_datetime when passed a np.nan or integer datelike and a format string (GH5863) | {
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When opening the excel file in Microsoft Excel 2010 I get:
```
Excel found unreadable content in 'a.xlsx'.
Do you want to recover the contents of this workbook?
If you trust the source of this workbook, click Yes.
```
When I click Yes, I get:... | {
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#3980
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https://api.github.com/repos/pandas-dev/pandas/issues/5867 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5867/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5867/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5867/events | https://github.com/pandas-dev/pandas/issues/5867 | 25,180,063 | MDU6SXNzdWUyNTE4MDA2Mw== | 5,867 | DOC: shouldn't the call signature changes in 0.13 for Panel.reindex (and others) be listed explicitly in the API changes? | {
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`Panel.reindex(major=None, minor=None, method=None, major_axis=None, minor_axis=None, copy=True, **kwargs)`
now:
`Panel.reindex(items=None, major_axis=None, minor_axis=None, **kwargs)`
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https://api.github.com/repos/pandas-dev/pandas/issues/5868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5868/events | https://github.com/pandas-dev/pandas/pull/5868 | 25,188,257 | MDExOlB1bGxSZXF1ZXN0MTEyOTU3Mjg= | 5,868 | BLD: fixup setup.py, initialize pipe variable to None | {
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https://github.com/pydata/pandas/issues/5867#issuecomment-31759183
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https://api.github.com/repos/pandas-dev/pandas/issues/5869 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5869/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5869/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5869/events | https://github.com/pandas-dev/pandas/issues/5869 | 25,193,654 | MDU6SXNzdWUyNTE5MzY1NA== | 5,869 | BUG: groupby with datetime and cythonized functions regression from 0.12 | {
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In [30]: DataFrame(dict(A = Timestamp('20130101'), B = np.arange(5))).groupby('A')['A'].max()
Out[30]:
A
2013-01-01 1356998400000000000
Name: A, dtype: int64
```
should match
```
In [31]: DataFrame(dict(A = Timestamp('20130101'), B = np.arange(5))).groupby('A')['A'].apply(lambda x: x.max())
Out[31]:
A
2013-0... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5870/events | https://github.com/pandas-dev/pandas/pull/5870 | 25,194,536 | MDExOlB1bGxSZXF1ZXN0MTEyOTg5NTU= | 5,870 | BUG: Bug in groupby dtype conversion with datetimelike (GH5869) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5871 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5871/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5871/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5871/events | https://github.com/pandas-dev/pandas/issues/5871 | 25,201,197 | MDU6SXNzdWUyNTIwMTE5Nw== | 5,871 | Possible bug in DataFrame.plot when duplicates in DatetimeIndex | {
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``` python
ValueError: Shape of passed values is (1, 3), indices imply (1, 2)
```
W... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5872 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5872/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5872/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5872/events | https://github.com/pandas-dev/pandas/issues/5872 | 25,206,442 | MDU6SXNzdWUyNTIwNjQ0Mg== | 5,872 | v.13 does not support df.apply(lambda x: (datetime.now() - x['Date']).days, axis=1) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5873 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5873/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5873/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5873/events | https://github.com/pandas-dev/pandas/issues/5873 | 25,221,489 | MDU6SXNzdWUyNTIyMTQ4OQ== | 5,873 | BUG: has_duplicates misbehaves when multiindex has a NaN | {
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``` python
>>> idx = pd.MultiIndex.from_arrays([[101, 102], [3.5, np.nan]])
>>> idx
MultiIndex
[(101, 3.5), (102, nan)]
>>> idx.has_duplicates
True
>>> idx.get_duplicates()
[]
```
I would expect has_duplicates to re... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5874 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5874/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5874/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5874/events | https://github.com/pandas-dev/pandas/issues/5874 | 25,222,011 | MDU6SXNzdWUyNTIyMjAxMQ== | 5,874 | test_json:test_round_trip_exception_ fails on python3 in windows | {
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``` python
======================================================================
ERROR: test_round_trip_exception_ (pandas.io.tests.test_json.test_pandas.TestPandasContainer)
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https://api.github.com/repos/pandas-dev/pandas/issues/5875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5875/events | https://github.com/pandas-dev/pandas/pull/5875 | 25,227,214 | MDExOlB1bGxSZXF1ZXN0MTEzMTU3MTA= | 5,875 | DOC: Add %in% operator into compare w r (GH3850) | {
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"followers_url": "https://api.github.com/users/... | 1 | 2014-01-08T09:21:06Z | 2014-06-26T12:22:49Z | 2014-01-15T16:15:01Z | CONTRIBUTOR | null | Doesn't close #3850 but at least the `%in%` operator is now in the comparison with R docs. I've lumped it with the `match` function since thats the page you see the `%in%` operator in the R docs http://finzi.psych.upenn.edu/R/library/base/html/match.html.
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``` python
import pandas
df = pandas.DataFrame({"year":[1,2,3,4],"name": [u"abc", u"bcd", u"cde", u"abc"]})
df["year"].hist() # Works
df["name"].hist()
TypeError Traceback (most recent call last)
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https://api.github.com/repos/pandas-dev/pandas/issues/5877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5877/events | https://github.com/pandas-dev/pandas/issues/5877 | 25,239,541 | MDU6SXNzdWUyNTIzOTU0MQ== | 5,877 | "IndexingError: Unalignable boolean Series key provided" when passing an empty object Series | {
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"followers_url": "https://api.github.com/users/... | 6 | 2014-01-08T13:38:56Z | 2014-01-08T17:23:27Z | 2014-01-08T17:23:12Z | NONE | null | For some reason, with 0.13, an empty object Series is interpreted as a boolean one, when using to fetch elements in another Series:
```
pandas.Series(['A', 'B'])[pandas.Series([], dtype=object)]
```
The following works though, so the dtype confusion seems to be confined to empty Series:
```
pandas.Series(['A', 'B'])... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5878/events | https://github.com/pandas-dev/pandas/issues/5878 | 25,243,331 | MDU6SXNzdWUyNTI0MzMzMQ== | 5,878 | pivot function on timezone aware objects does not preserve timezone info in resulting dataframe index | {
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"description": "2014-02-3: previous version released",
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"labels_url": "htt... | 1 | 2014-01-08T14:33:35Z | 2014-05-12T13:34:58Z | 2014-05-12T13:34:58Z | NONE | null | This bug is in 0.12.0
Using example DataFrame like below:
```
col data time
0 1 0 2013-03-22 11:00:00-04:00
1 2 1 2013-03-22 15:00:00-04:00
2 2 2 2013-03-22 11:00:00-04:00
3 1 3 2013-03-22 15:00:00-04:00
```
After pivoting, the old behavior in 0.10.1 properly... | {
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"followers_url": "https://api.github.com/users/... | 24 | 2014-01-08T15:17:03Z | 2014-06-15T00:35:15Z | 2014-01-15T00:26:34Z | CONTRIBUTOR | null | Using regex=False can be faster when full regex searching is not needed.
See http://stackoverflow.com/q/20951840/190597
Example use case:
```
import string
import itertools as IT
import numpy as np
from pandas import Series
def make_series(letters, strlen, size):
return Series(
np.fromiter(IT.cycle(lette... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5880/events | https://github.com/pandas-dev/pandas/pull/5880 | 25,247,701 | MDExOlB1bGxSZXF1ZXN0MTEzMjU1MDk= | 5,880 | BUG: Regresssion in handling of empty Series as indexers to Series (GH5877) | {
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"followers_url": "https://api.github.com/users/... | 0 | 2014-01-08T15:19:02Z | 2014-06-16T09:26:31Z | 2014-01-08T17:23:12Z | CONTRIBUTOR | null | closes #5877
```
In [1]: s = Series(['A', 'B'])
In [2]: s[Series(['C'], dtype=object)]
Out[2]:
C NaN
dtype: object
In [3]: s[Series([], dtype=object)]
Out[3]: Series([], dtype: object)
```
This didn't work in 0.12
```
In [4]: s[Series([], dtype=bool)]
Out[4]: Series([], dtype: object)
```
This raises though (... | {
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"f... | 11 | 2014-01-08T15:35:29Z | 2021-04-11T04:03:28Z | 2021-04-11T04:03:27Z | CONTRIBUTOR | null | related #4130
I haven't looked at the code at how easy this is to do, but it looks like things like expanding_apply (moving_apply too I suspect) expects a float returned from the function. It might make sense to have an optional no_return flag (or just be smart about it, though perhaps it makes sense to have a flag as... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5882 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5882/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5882/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5882/events | https://github.com/pandas-dev/pandas/issues/5882 | 25,251,418 | MDU6SXNzdWUyNTI1MTQxOA== | 5,882 | GroupBy apply method is calling passed function multiple times for the same group? | {
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I am using version 0.13.0rc1-92-gf6fd509
Code
```
import pandas as pd
from cStringIO import StringIO
# get sample dataframe
s = '''Col1 Col2 Col3
1 1 1
1 2 2
3 3 3'''
df = ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5883 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5883/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5883/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5883/events | https://github.com/pandas-dev/pandas/issues/5883 | 25,254,610 | MDU6SXNzdWUyNTI1NDYxMA== | 5,883 | ENH: to_html horizontal mode option | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5884/events | https://github.com/pandas-dev/pandas/issues/5884 | 25,260,774 | MDU6SXNzdWUyNTI2MDc3NA== | 5,884 | newey-west adjustment not working properly in OLS | {
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"followers_url": "https://api.github.com/users/jr... | 11 | 2014-01-08T18:19:03Z | 2014-09-23T14:24:46Z | 2014-09-23T14:24:46Z | NONE | null | It looks newey-west adjustment is not working properly in OLS when 'cluster' is set to 'time' or 'entity'. Specifically, pandas.stats.plm.py lines 791-794 don't have any effect. Should that be replaced with: xox = math.newey_west(m, nw_lags, nobs, df, nw_overlap)?
Here is some code to reproduce the issue.
import num... | {
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I noticed this because I was going add more robust parsing to datetools.parse [1], and I was surprised to find this function there. Two suggestions / questions. 1) Why not just roll this into the parse function like statsmodels instead of having it fall down on things like "1989Q1"? Extra functi... | {
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- [ ] clean up imports of `_parse/parse` from dateutils
- [ ] `to_period` to create `PeriodIndex`
I started to make a PR #5885 to fix what I thought was a typo before realizing that this was... | {
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... | 12 | 2014-01-09T05:55:57Z | 2016-11-11T19:28:50Z | 2016-05-26T23:56:09Z | CONTRIBUTOR | null | I am getting the following warning:
```
/usr/local/lib/python2.7/dist-packages/pandas-0.13.0rc1_78_g142ca62-py2.7-linux-x86_64.egg/pandas/io/parsers.py:1050:
DtypeWarning: Columns (6) have mixed types. Specify dtype option on import or set low_memory=False.
data = self._reader.read(nrows)
```
but I can find no doc... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5890 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5890/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5890/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5890/events | https://github.com/pandas-dev/pandas/issues/5890 | 25,301,615 | MDU6SXNzdWUyNTMwMTYxNQ== | 5,890 | dt+BDay(n) gives the wrong date if n>5, n%5==0 and dt not on offset | {
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"followers_url": "https://api.github.com/users/... | 2 | 2014-01-09T08:00:54Z | 2014-01-13T16:18:13Z | 2014-01-13T16:18:13Z | CONTRIBUTOR | null | This issue is closely related to bug #2680 and I believe it is also a bug.
The problem appears when adding a number of BDay n with n > 5, n % 5 == 0 to
a starting date which is not on offset.
For instance
``` python
dt = Timestamp('20140105') # Sunday
print (dt + BDay(10)).strftime('%A')
```
```
Sunday
```
We exc... | {
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```
m... | {
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buildbot provided by @yarikoptic lives in another location and the windows jenkins box isn't
publicly viewable. That means :red_circle: builds have been going unnoticed, sometimes for months
until it's time to do a releas... | {
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``` python
======================================================================
ERROR: test_round_trip_frame_string (classname)
----------------------------------------------------------------------
Traceback (most recent call last):
File "c:\Python27-AMD64\Lib\unittest\case.py", l... | {
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"followers_url": "https://api.github.com/users/... | 3 | 2014-01-09T17:45:23Z | 2014-06-23T20:21:50Z | 2014-01-09T23:26:26Z | CONTRIBUTOR | null | ...ounds index for columns. This is a regression as it used to work in pandas 0.12.0. The code incorrectly checks the column index against the len() of the dataframe to see if it is in bounds not against the number of columns. Have added 2 tests with non-square dataframes to test that the fix works.
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https://api.github.com/repos/pandas-dev/pandas/issues/5897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5897/events | https://github.com/pandas-dev/pandas/issues/5897 | 25,368,993 | MDU6SXNzdWUyNTM2ODk5Mw== | 5,897 | 'rot' parameter to DataFrame.boxplot not applied to some axes when multi-panel plot is produced using 'by' | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2014-01-10T01:13:38Z | 2014-07-19T14:13:11Z | 2014-07-01T15:28:58Z | NONE | null | Minimal snippet:
``` python
import pandas as pd
from numpy.random import randn
import matplotlib.pyplot as plt
d = pd.DataFrame({'one':randn(5), 'two':randn(5), 'three':randn(5), 'label':['label'] * 5},
columns = ['one','two','three', 'label'])
bp= d.boxplot(by='label', rot=45)
plt.savefig('xxx.png')
```
Out... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5898/events | https://github.com/pandas-dev/pandas/pull/5898 | 25,370,910 | MDExOlB1bGxSZXF1ZXN0MTEzODcxODY= | 5,898 | ENH/API: Add count parameter to limit generator in Series, DataFrame, and DataFrame.from_records() | {
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First step to solve #2305, known the length of the data to allocate memory.
- Add count parameter to Series, DataFrame, and DataFrame.from_records().
- In DataFrame.from_records() deprecate the existing parameter nrows.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5899/events | https://github.com/pandas-dev/pandas/issues/5899 | 25,386,652 | MDU6SXNzdWUyNTM4NjY1Mg== | 5,899 | DOC: docs don't build with new Sphinx version 1.2 | {
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And it seems that the docs won't build with this new version (also mentioned in #5530 and https://github.com/pydata/pandas/pull/5701#discussion_r8715560). You get the following error:
```
File "C:\Users\vd... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5900/events | https://github.com/pandas-dev/pandas/issues/5900 | 25,408,023 | MDU6SXNzdWUyNTQwODAyMw== | 5,900 | Add row filtering operator | {
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"closed_at": "2016-03-12T16:19:08Z",
"closed_issues": 469,
"created_at": "2015-07-19T20:18:45Z",
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"followers_url": "https://api.github.com/users/jr... | 9 | 2014-01-10T17:07:04Z | 2016-01-31T17:58:48Z | 2016-01-31T17:58:48Z | NONE | null | This would allow chaining operations like:
``` python
pd.read_csv('imdb.txt')
.sort(columns='year')
.filter(lambda x: x['year']>1990) # <---this is missing in Pandas
.to_csv('filtered.csv')
```
For current alternatives see:
http://stackoverflow.com/questions/11869910/pandas-filter-rows-of-dataframe-with-oper... | {
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