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https://api.github.com/repos/pandas-dev/pandas/issues/2801 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2801/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2801/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2801/events | https://github.com/pandas-dev/pandas/issues/2801 | 10,668,303 | MDU6SXNzdWUxMDY2ODMwMw== | 2,801 | ENH: Add 'inplace' parameter to DataFrame.append() | {
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"f... | 34 | 2013-02-05T21:24:36Z | 2021-08-24T23:24:02Z | 2013-09-20T18:08:36Z | NONE | null | DataFrame.append() ought to have a "inplace=True" parameter to allow modifying the existing dataframe rather than copying it. This would be a big performance gain for large dataframes.
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https://api.github.com/repos/pandas-dev/pandas/issues/2802 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2802/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2802/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2802/events | https://github.com/pandas-dev/pandas/issues/2802 | 10,671,788 | MDU6SXNzdWUxMDY3MTc4OA== | 2,802 | PERFORMANCE: Very slow vectorized string functions | {
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The docs say pandas has vectorized string functions, but they're running far slower for me than plain python (about 6x slower). Here's two nearly identical versions of the code with wildly different performance numbers. Why is the vectorized version so much slower?
I thought the difference might... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2803 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2803/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2803/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2803/events | https://github.com/pandas-dev/pandas/issues/2803 | 10,673,030 | MDU6SXNzdWUxMDY3MzAzMA== | 2,803 | bug in density attribute computation for SparseSeries | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-05T23:21:20Z | 2013-12-04T00:40:16Z | 2013-03-18T05:33:29Z | CONTRIBUTOR | null | ```
ts = Series(randn(10))
ts[2:-2] = nan
sts = ts.to_sparse()
print sts
print sts.density
```
results in:
return float(len(self.sp_index)) / len(self.index)
TypeError: object of type 'pandas._sparse.BlockIndex' has no len()
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https://api.github.com/repos/pandas-dev/pandas/issues/2804 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2804/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2804/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2804/events | https://github.com/pandas-dev/pandas/pull/2804 | 10,674,086 | MDExOlB1bGxSZXF1ZXN0NDAwNTQyMg== | 2,804 | Creating DatetimeIndex from empty array with datetime64 dtype raises IndexError | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-05T23:54:21Z | 2014-06-12T14:36:47Z | 2013-02-10T21:09:24Z | CONTRIBUTOR | null | using pandas from master:
``` python
import numpy as np
import pandas as pd
pd.DatetimeIndex(np.array([], dtype='datetime64'))
```
I get the following stack trace:
``` python
/data/python/pandas/pandas/tseries/index.pyc in __new__(cls, data, freq, start, end, periods, copy, name, tz, verify_integrity, normalize, **k... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2806 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2806/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2806/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2806/events | https://github.com/pandas-dev/pandas/issues/2806 | 10,698,256 | MDU6SXNzdWUxMDY5ODI1Ng== | 2,806 | string contains method doesn't respect na argument | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-06T16:21:36Z | 2013-03-14T03:40:33Z | 2013-03-14T03:40:33Z | CONTRIBUTOR | null | It seems that the argument `na` doesn't remove the NaN with `str.contains` (see [previous issue](https://github.com/pydata/pandas/issues/1689)).
Using similar to example in [test added for na functionality](https://github.com/pydata/pandas/commit/7a1ea0a3d189b1be7cdd23a7b98f79effd381430):
```
In [1]: values = Series(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2807 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2807/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2807/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2807/events | https://github.com/pandas-dev/pandas/issues/2807 | 10,718,752 | MDU6SXNzdWUxMDcxODc1Mg== | 2,807 | Slow printing of large data frames | {
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In these situations I often need to handle explicitly the case in which the result of the function is empty and return a properly shaped empty dataframe.
Failing to return a proper df gives normally an exception, but I found a... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2809 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2809/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2809/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2809/events | https://github.com/pandas-dev/pandas/issues/2809 | 10,747,976 | MDU6SXNzdWUxMDc0Nzk3Ng== | 2,809 | Series does not upconvert datetimes to datetime64 | {
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"followers_url": "https://api.github.com/users/wesm/... | 4 | 2013-02-07T17:47:21Z | 2013-02-10T22:34:41Z | 2013-02-10T22:34:41Z | CONTRIBUTOR | null | ``` python
import pandas as pd
ind = pd.date_range(start="2000-01-01", freq="D", periods=10)
datetimes = [ts.to_pydatetime() for ts in ind]
datetime_s = pd.Series(datetimes)
datetime_s.dtype
# object
df = pd.DataFrame({'datetime_s':datetime_s})
print df.dtypes
#datetime64
```
Shouldn't Series upconvert to datetime64 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2810 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2810/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2810/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2810/events | https://github.com/pandas-dev/pandas/issues/2810 | 10,748,069 | MDU6SXNzdWUxMDc0ODA2OQ== | 2,810 | DataFrame constructor doesn't always upconvert datetime | {
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import pandas as pd
ind = pd.date_range(start="2000-01-01", freq="D", periods=10)
datetimes = [ts.to_pydatetime() for ts in ind]
dates = [ts.date() for ts in ind]
df = pd.DataFrame({'datetimes': datetimes, 'dates':dates})
df.dtypes
# datetimes : object
# dates: object
```
Seems to be an issue with having another ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2811 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2811/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2811/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2811/events | https://github.com/pandas-dev/pandas/issues/2811 | 10,753,912 | MDU6SXNzdWUxMDc1MzkxMg== | 2,811 | kind argument in Series.order has no effect | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2812 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2812/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2812/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2812/events | https://github.com/pandas-dev/pandas/pull/2812 | 10,757,330 | MDExOlB1bGxSZXF1ZXN0NDA0NTQ3MA== | 2,812 | Fix typo in performance_doc | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2813 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2813/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2813/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2813/events | https://github.com/pandas-dev/pandas/issues/2813 | 10,759,367 | MDU6SXNzdWUxMDc1OTM2Nw== | 2,813 | Rolling methods should support lists | {
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"f... | 3 | 2013-02-07T22:26:13Z | 2017-06-10T18:05:06Z | 2017-06-10T18:05:06Z | NONE | null | Looks like the `pandas` rolling methods only support numpy arrays, while numpy and bottleneck methods also support lists for convenience:
```
>>> l = [1,2,3,4]
>>> import numpy as np
>>> np.cumsum(l)
array([ 1, 3, 6, 10])
>>> import bottleneck as bn
>>> bn.move_sum(l, 1)
array([ 1., 2., 3., 4.])
>>> import pan... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2814 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2814/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2814/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2814/events | https://github.com/pandas-dev/pandas/issues/2814 | 10,759,616 | MDU6SXNzdWUxMDc1OTYxNg== | 2,814 | Regression? Using Series for string formatting | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-07T22:30:18Z | 2013-03-18T05:43:20Z | 2013-03-18T05:43:20Z | MEMBER | null | from mailing list:
Rows used to be able to work as maps for string interpolation, like this:
from pandas import *
speeds = read_csv('results.csv')
row = speeds.ix[3]
print("%(my_column_name)s" % row)
that worked a few months ago, but doesn't seem to work in the latest Pandas. How can I turn a row into a map, or oth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2815 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2815/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2815/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2815/events | https://github.com/pandas-dev/pandas/issues/2815 | 10,762,903 | MDU6SXNzdWUxMDc2MjkwMw== | 2,815 | pandas.Series.apply fails with IndexError with an empty series | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-08T00:11:57Z | 2016-10-12T23:03:31Z | 2013-02-09T20:41:29Z | CONTRIBUTOR | null | ``` python
import pandas as pd
s = pd.Series()
s.apply(lambda x: x)
```
``` python
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-3-a33a9027c226> in <module>()
----> 1 s.apply(lambda x: x)
/usr/loca... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2816 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2816/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2816/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2816/events | https://github.com/pandas-dev/pandas/issues/2816 | 10,763,306 | MDU6SXNzdWUxMDc2MzMwNg== | 2,816 | Automatic color cycling when plotting consecutive timeseries without arguments disappeared in 0.8.1 | {
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"followers_url": "https://api.github.com/users/wesm/... | 4 | 2013-02-08T00:28:45Z | 2013-03-29T10:39:09Z | 2013-03-29T10:39:09Z | CONTRIBUTOR | null | The fact that it took so long for anyone to realise the behaviour had changed just goes to show that it is a very minor problem. I was pretty sure it used to work at one point so I chased it down. I'd say it is quite useful from time to time when you are working interactively and feeling lazy at the same time.
In cas... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2817 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2817/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2817/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2817/events | https://github.com/pandas-dev/pandas/issues/2817 | 10,765,502 | MDU6SXNzdWUxMDc2NTUwMg== | 2,817 | multilevel df.ix fails with IndexError on Multindex with duplicate entries | {
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"followers_url": "https://api.github.com/users/wesm/... | 10 | 2013-02-08T02:11:43Z | 2013-03-21T16:02:36Z | 2013-03-21T16:02:15Z | NONE | null | The following example works:
df = DataFrame(np.arange(20).reshape(5,4))
df2 = df.set_index(keys=[0,1,2])
df2.ix[(4,5,6)]
for using a MultiIndex
So I created a file sample_data.csv that looks like this:
col1,col2,year,amount
111111,3.5,2012,700
111112,3.5,2011,600
222221,4.0,2012,222
...
I then ran the followi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2818 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2818/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2818/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2818/events | https://github.com/pandas-dev/pandas/issues/2818 | 10,766,593 | MDU6SXNzdWUxMDc2NjU5Mw== | 2,818 | More flexible binning/resampling | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2819 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2819/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2819/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2819/events | https://github.com/pandas-dev/pandas/pull/2819 | 10,768,731 | MDExOlB1bGxSZXF1ZXN0NDA1MDk3NQ== | 2,819 | ENH: Optimize take_*; improve non-NA fill_value support | {
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- For common cases, no intermediate buffer is required anymore to convert between two different dtypes (i.e. when upcasting is necessary): the data is taken and upcasted in one step. These cases ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2820 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2820/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2820/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2820/events | https://github.com/pandas-dev/pandas/pull/2820 | 10,769,218 | MDExOlB1bGxSZXF1ZXN0NDA1MTIwMQ== | 2,820 | DOC: fix typo in CONTRIBUTING.md | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2821 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2821/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2821/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2821/events | https://github.com/pandas-dev/pandas/issues/2821 | 10,775,418 | MDU6SXNzdWUxMDc3NTQxOA== | 2,821 | Handle x-endianess on y-endianess platforms | {
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related #2318.
https://groups.google.com/forum/m/#!topic/pydata/ksIPthf2NJI
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https://api.github.com/repos/pandas-dev/pandas/issues/2822 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2822/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2822/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2822/events | https://github.com/pandas-dev/pandas/pull/2822 | 10,792,345 | MDExOlB1bGxSZXF1ZXN0NDA2MjUxNw== | 2,822 | DOC: Fix typos | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2823 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2823/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2823/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2823/events | https://github.com/pandas-dev/pandas/issues/2823 | 10,804,563 | MDU6SXNzdWUxMDgwNDU2Mw== | 2,823 | When reshaping a Series, the result is unprintable. | {
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I can reshape, but then the result is unprintable (an exception is thrown). This can confuse people - after all, a Series IS an array.
There's some discussion [here](http://stackoverflow.com/questions/14390224/resh... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2824 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2824/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2824/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2824/events | https://github.com/pandas-dev/pandas/pull/2824 | 10,811,763 | MDExOlB1bGxSZXF1ZXN0NDA3MDg0NA== | 2,824 | PEP8-compliant HDFStore documentation | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2013-02-09T17:35:58Z | 2013-02-10T22:31:07Z | 2013-02-10T22:31:07Z | CONTRIBUTOR | null | (This is to be applied after a PR from https://github.com/jreback/pandas/tree/pytables_update7, as it is based on it)
This is my first PR and I am hoping to get right the github worfklow to start with 'real contibutions'. Any hints on how to PR better very welcome.
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https://api.github.com/repos/pandas-dev/pandas/issues/2825 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2825/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2825/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2825/events | https://github.com/pandas-dev/pandas/issues/2825 | 10,812,556 | MDU6SXNzdWUxMDgxMjU1Ng== | 2,825 | Method/option for deduplicating index, a la drop_duplicates | {
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```
join_dataframe_index_single_key_bigger 9.5578 11.1325 0.8585
join_dataframe_integer_2key 4.7822 5.4330 0.8802
panel_from_dict_all_different_indexes 71.4074 81.0831 0.8807
timeseries_add_irregular 21.5136 24... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2829 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2829/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2829/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2829/events | https://github.com/pandas-dev/pandas/issues/2829 | 10,817,686 | MDU6SXNzdWUxMDgxNzY4Ng== | 2,829 | pandas integration in IPython notebook | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2830 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2830/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2830/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2830/events | https://github.com/pandas-dev/pandas/issues/2830 | 10,820,515 | MDU6SXNzdWUxMDgyMDUxNQ== | 2,830 | possible version compat issue with MPL | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2831 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2831/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2831/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2831/events | https://github.com/pandas-dev/pandas/pull/2831 | 10,824,852 | MDExOlB1bGxSZXF1ZXN0NDA3NDcwNw== | 2,831 | ENH: Add title string method | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2832 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2832/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2832/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2832/events | https://github.com/pandas-dev/pandas/pull/2832 | 10,828,854 | MDExOlB1bGxSZXF1ZXN0NDA3NTYwMA== | 2,832 | Doc: Add documentation for the classes parameter of the to_html method | {
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Current output of documentation in IPython:
```
Docstring:
to_html-specific options
bold_rows : boolean, default True
Make the row labels bold in the output
Render a DataFrame to an html table.
Parameters
----------
frame : Dat... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2833 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2833/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2833/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2833/events | https://github.com/pandas-dev/pandas/pull/2833 | 10,828,930 | MDExOlB1bGxSZXF1ZXN0NDA3NTYyNQ== | 2,833 | TST: made pytables vbench much faster | {
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- added data_columns test
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https://api.github.com/repos/pandas-dev/pandas/issues/2834 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2834/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2834/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2834/events | https://github.com/pandas-dev/pandas/pull/2834 | 10,830,189 | MDExOlB1bGxSZXF1ZXN0NDA3NjAxMQ== | 2,834 | TST: added addtl datetimes test in construction (ref GH #2809/#2810) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2835 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2835/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2835/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2835/events | https://github.com/pandas-dev/pandas/pull/2835 | 10,830,859 | MDExOlB1bGxSZXF1ZXN0NDA3NjIyNQ== | 2,835 | DOC: add mention of to_pydatetime method on DatetimeIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2836 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2836/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2836/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2836/events | https://github.com/pandas-dev/pandas/pull/2836 | 10,832,249 | MDExOlB1bGxSZXF1ZXN0NDA3NjUwNQ== | 2,836 | BUG: automatic color cycling when plotting Series without style or color argument (fixes #2816) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2837 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2837/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2837/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2837/events | https://github.com/pandas-dev/pandas/pull/2837 | 10,832,903 | MDExOlB1bGxSZXF1ZXN0NDA3NjYwOA== | 2,837 | TST: fix failing #2752 tests for 32-bit builds | {
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still unclear whether the following needs to be fixed on 32-bit:
``` python
In [29]: p.DataFrame([1,2]).dtypes
Out[29]:
0 int32
Dtype: object
In [30]: p.DataFrame({'a': [1,2]}).dtypes
Out[30]:
a int64
Dtype: object
```
so leaving the relevant test hardcode... | {
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this removes a platform dependency issue that caused dataframe and series to
have different dtypes on 32- bit
fixes issues raised in PR #2837
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https://api.github.com/repos/pandas-dev/pandas/issues/2839 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2839/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2839/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2839/events | https://github.com/pandas-dev/pandas/issues/2839 | 10,842,973 | MDU6SXNzdWUxMDg0Mjk3Mw== | 2,839 | Can't read in 1GB data | {
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"f... | 11 | 2013-02-11T04:03:15Z | 2019-07-03T08:42:49Z | 2013-07-29T05:07:06Z | NONE | null | I am trying to repeat the code in:
http://wesmckinney.com/blog/?p=635
But I can't read in the data. I have more than 4GB memory available (with 8GB memory in total), but still has the following problem:
In [2]: data = pd.read_csv("P00000001-ALL.csv", index_col=False)
Python(9081,0xacb01a28) malloc: **\* mmap(size=2405... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2840 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2840/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2840/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2840/events | https://github.com/pandas-dev/pandas/pull/2840 | 10,865,544 | MDExOlB1bGxSZXF1ZXN0NDA4MjE3Nw== | 2,840 | DOC: migrated 0.10.2 remaining changes to 0.11.0 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2841 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2841/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2841/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2841/events | https://github.com/pandas-dev/pandas/issues/2841 | 10,867,164 | MDU6SXNzdWUxMDg2NzE2NA== | 2,841 | FutureWarning about set_index (in_place=True) is raised even if you already fixed that | {
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It's throwing a FutureWarning "set_index with inplace=True will return None from pandas 0.11 onward" when I call set_index, **_even though I already changed my code to be compliant with that change so the warning is not relevant**_. It prints that warning anytime you call the function with inplace=True... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2842 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2842/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2842/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2842/events | https://github.com/pandas-dev/pandas/issues/2842 | 10,872,728 | MDU6SXNzdWUxMDg3MjcyOA== | 2,842 | Better flexibility of pandas warnings | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2013-02-11T16:39:54Z | 2018-07-06T21:55:34Z | 2018-07-06T21:55:24Z | NONE | null | From https://github.com/pydata/pandas/issues/1893 (scroll down a long way to the bottom) -- pandas is throwing a warning that we want to disable; but the same conceptual warning is being thrown from many different lines of code, with slightly different messages each time, so there's no way to filter them all out at on... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2843 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2843/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2843/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2843/events | https://github.com/pandas-dev/pandas/issues/2843 | 10,875,976 | MDU6SXNzdWUxMDg3NTk3Ng== | 2,843 | left join on column doesn't work with missing values on right side | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-11T17:59:49Z | 2013-03-07T10:58:16Z | 2013-03-07T10:58:16Z | NONE | null | ``` python
df1 = pd.DataFrame({"i1" : [0, 1], "i2" : [0, 1]})
df2 = pd.DataFrame({"i1" : [0], "i3" : [0]})
df1.join(df2, on="i1", rsuffix="_")
```
throws:
```
pandas-0.10.0-py2.7-linux-x86_64.egg/pandas/tools/merge.pyc in _maybe_add_join_keys(self, result, left_indexer, right_indexer)
224 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2844 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2844/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2844/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2844/events | https://github.com/pandas-dev/pandas/issues/2844 | 10,877,573 | MDU6SXNzdWUxMDg3NzU3Mw== | 2,844 | Problem with YearBegin frequency? | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-11T18:41:43Z | 2013-04-08T07:18:45Z | 2013-04-08T07:18:45Z | CONTRIBUTOR | null | Bug or user/expectation error? Been a while since I looked at this. Shouldn't this work and return days at the start of April?
```
pandas.date_range("1972-04-02", "2007-04-02", freq="AS-APR")
#<class 'pandas.tseries.index.DatetimeIndex'>
#[1973-01-01 00:00:00, ..., 2007-01-01 00:00:00]
#Length: 35, Freq: AS-APR, Time... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2845 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2845/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2845/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2845/events | https://github.com/pandas-dev/pandas/issues/2845 | 10,878,013 | MDU6SXNzdWUxMDg3ODAxMw== | 2,845 | BUG: Various issues with maybe_convert_objects | {
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(Also, mostly unrelated to the below, I noticed the inference loop continues for no reason after seeing an object, when it can safely brea... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2847 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2847/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2847/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2847/events | https://github.com/pandas-dev/pandas/issues/2847 | 10,892,871 | MDU6SXNzdWUxMDg5Mjg3MQ== | 2,847 | Errors with nosetests-3.3 pandas.io.tests.test_yahoo.TestYahoo pandas, version b0ee363408336 | {
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Also, the expected INTC values in test_get_data() in test_yahoo.py do not agree with the values Y... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2848 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2848/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2848/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2848/events | https://github.com/pandas-dev/pandas/pull/2848 | 10,902,176 | MDExOlB1bGxSZXF1ZXN0NDEwMDM2MQ== | 2,848 | Typo fix: propgate -> propagate. | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2849 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2849/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2849/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2849/events | https://github.com/pandas-dev/pandas/pull/2849 | 10,906,429 | MDExOlB1bGxSZXF1ZXN0NDEwMjQyOA== | 2,849 | BUG: HDFStore - missing implementation of bool columns in selection | {
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- moved dtype like tests to single method
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https://api.github.com/repos/pandas-dev/pandas/issues/2850 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2850/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2850/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2850/events | https://github.com/pandas-dev/pandas/issues/2850 | 10,910,900 | MDU6SXNzdWUxMDkxMDkwMA== | 2,850 | BUG: Set_index fills in some NaN | {
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```
In [11]: df = pd.DataFrame({'id1': {0: '1a3', 1: '9h4'}, 'id2': {0: nan, 1: 'd67'},
'id3': {0: '78d', 1: '79d'}, 'value': {0: 123, 1: 64}})
In [12]: df
Out[12]:
id1 id2 id3 value
0 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2851 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2851/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2851/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2851/events | https://github.com/pandas-dev/pandas/pull/2851 | 10,917,157 | MDExOlB1bGxSZXF1ZXN0NDEwNzgyOA== | 2,851 | DOC: prepend missing >>> to docstring Examples in set_index. | {
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"i... | 19 | 2013-02-12T18:29:20Z | 2013-09-14T21:43:28Z | 2013-05-08T21:48:02Z | NONE | null | Create a dataframe with a date (not datetime) column as the index. Save that dataframe to the HDFStore. Now open that same file on a computer in a time zone that's behind you. (IE, write the file in New York and then read the file from Dallas). Result: all the dates are off by one.
Here is a code snippet to demonstrate... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2853 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2853/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2853/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2853/events | https://github.com/pandas-dev/pandas/issues/2853 | 10,923,641 | MDU6SXNzdWUxMDkyMzY0MQ== | 2,853 | pandas.io.tests.test_yahoo failure | {
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FAIL: test_get_data (pandas.io.tests.test_yahoo.TestYahoo)
----------------------------------------------------------------------
Traceback (most recent call last):
File "<...>/pandas/io/tests/test_yahoo.py", line 97, in test_get_data
assert result == expected
AssertionError
```
``` python
(pandas)[lo... | {
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"d... | closed | false | null | [] | null | 6 | 2013-02-12T20:30:16Z | 2013-02-12T22:38:10Z | 2013-02-12T22:38:10Z | CONTRIBUTOR | null | ``` python
======================================================================
FAIL: test_unsorted_index (pandas.tests.test_graphics.TestDataFramePlots)
----------------------------------------------------------------------
Traceback (most recent call last):
File "<...>/pandas/tests/test_graphics.py", line 312, i... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2855 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2855/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2855/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2855/events | https://github.com/pandas-dev/pandas/pull/2855 | 10,924,266 | MDExOlB1bGxSZXF1ZXN0NDExMTE4NA== | 2,855 | BUG: proper conversion of string to bool HDFStore selection | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2856 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2856/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2856/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2856/events | https://github.com/pandas-dev/pandas/issues/2856 | 10,926,996 | MDU6SXNzdWUxMDkyNjk5Ng== | 2,856 | max_columns=0 no longer switches over to summary view | {
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In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: pd.set_option('line_width', 250)
In [4]: pd.set_option('max_columns', 0)
In [5]: pd.describe_option('max_columns')
display.max_columns:
: int
max_rows and max_columns are used in __repr__() methods to decide if
to_string() or... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2857 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2857/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2857/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2857/events | https://github.com/pandas-dev/pandas/pull/2857 | 10,927,821 | MDExOlB1bGxSZXF1ZXN0NDExMjU0Mg== | 2,857 | TST: avoid platform dependency, close #2854 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2858 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2858/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2858/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2858/events | https://github.com/pandas-dev/pandas/issues/2858 | 10,927,933 | MDU6SXNzdWUxMDkyNzkzMw== | 2,858 | Pandas .fillna() should handle "inf" | {
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import pandas
vals = [ 1.1, 1.1, 1.1]
p =... | {
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"f... | 7 | 2013-02-12T23:22:18Z | 2017-03-03T13:33:48Z | 2014-05-29T06:20:11Z | NONE | null | Hi,
I am running on the git cloned version of `pandas`, and there seems to be quite a few issues with user defined classes extending `DataFrame`.
It seems that `DataFrame` class constructor is hardcoded in a lot of places, where `self.__class__` or `cls` constructors should be used instead. This causes some weird be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2860 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2860/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2860/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2860/events | https://github.com/pandas-dev/pandas/pull/2860 | 10,935,331 | MDExOlB1bGxSZXF1ZXN0NDExNTQzNw== | 2,860 | BLD: bring back build_ext warning message cython is missing #2439 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2861 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2861/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2861/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2861/events | https://github.com/pandas-dev/pandas/issues/2861 | 10,938,799 | MDU6SXNzdWUxMDkzODc5OQ== | 2,861 | [Docs] parameter 'kind' not documented in timeseries.resample() | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2862 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2862/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2862/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2862/events | https://github.com/pandas-dev/pandas/issues/2862 | 10,943,439 | MDU6SXNzdWUxMDk0MzQzOQ== | 2,862 | reindexing non-unique dataframes | {
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> > > df4 = DataFrame({'a':[1,2]})
> > > df3
> > > a
> > > 0 1
> > > df4
> > > a
> > > 0 1
> > > 1 2
> > > df4.index = [1,1]
> > > df4.reindex(df3.index)
> > > Traceback (most recent call last):
> > > File "<stdin>", line 1, in <module>
> > > File "/hostname/home/chik/.pyth... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2863 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2863/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2863/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2863/events | https://github.com/pandas-dev/pandas/issues/2863 | 10,944,043 | MDU6SXNzdWUxMDk0NDA0Mw== | 2,863 | [Docs] default case for df.plot(grid) parameter inconsistent in docstring | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-13T08:16:31Z | 2013-02-23T18:22:17Z | 2013-02-23T18:22:17Z | CONTRIBUTOR | null | the method call docstring for df.plot() has:
``` python
df.plot(...., grid=False, ....)
```
while later in the docstring it states:
``` python
grid : boolean, default True
Axis grid lines
```
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https://api.github.com/repos/pandas-dev/pandas/issues/2864 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2864/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2864/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2864/events | https://github.com/pandas-dev/pandas/issues/2864 | 10,952,231 | MDU6SXNzdWUxMDk1MjIzMQ== | 2,864 | TST: can update daily dev builds to 0.11-dev? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2865 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2865/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2865/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2865/events | https://github.com/pandas-dev/pandas/pull/2865 | 10,955,849 | MDExOlB1bGxSZXF1ZXN0NDEyNDMzOA== | 2,865 | BUG: Make DataFrame not hardcode it's own constructor in the code. Issue #2859 | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-13T14:36:53Z | 2014-07-03T14:05:55Z | 2013-03-28T05:07:09Z | NONE | null | BUG: Make DataFrame not hardcode it's own constructor in the code. Issue
Changed all occurrences of `return DataFrame` to `return
self._constructor` and changed the latter to return `self.__class__`
rather than `DataFrame` by default.
Also made static methods like `DataFrame.from_dict` work on the
`cls` passed to the... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2866 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2866/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2866/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2866/events | https://github.com/pandas-dev/pandas/issues/2866 | 10,956,544 | MDU6SXNzdWUxMDk1NjU0NA== | 2,866 | Multi-level .ix works on Series but not on DataFrame | {
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] | closed | false | null | [] | null | 7 | 2013-02-13T14:56:31Z | 2013-03-20T01:08:39Z | 2013-03-20T01:07:59Z | NONE | null | Using pandas 0.10.1. The .ix on a multi-index Series seems very inconsistent with the .ix on a multi-index DataFrame.
# From page 147 of Wes's book:
data = Series(np.random.randn(10), index = [['a','a','a','b','b','b', 'c','c','d','d'], [1,2,3,1,2,3,1,2,2,3]])
data.ix['a'] #works as you'd expect, pulls all the '... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2867 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2867/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2867/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2867/events | https://github.com/pandas-dev/pandas/pull/2867 | 10,963,403 | MDExOlB1bGxSZXF1ZXN0NDEyODI1NA== | 2,867 | ENH: Consolidation and further optimization of take functions in common | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2868 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2868/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2868/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2868/events | https://github.com/pandas-dev/pandas/issues/2868 | 10,973,365 | MDU6SXNzdWUxMDk3MzM2NQ== | 2,868 | Add converters= argument to ExcelFile.parse | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2869 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2869/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2869/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2869/events | https://github.com/pandas-dev/pandas/pull/2869 | 10,977,786 | MDExOlB1bGxSZXF1ZXN0NDEzNTMwMA== | 2,869 | ENH: Added notes about changes in Options class to what's new for 0.11 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2870 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2870/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2870/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2870/events | https://github.com/pandas-dev/pandas/issues/2870 | 10,978,668 | MDU6SXNzdWUxMDk3ODY2OA== | 2,870 | Cannot np.delete from DataFrame? | {
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``` python
>>> import pandas
>>> import numpy as np
>>> a = np.random.randn(10, 5)
>>> print a
[[-0.91594461 -0.53053436 -0.85001444 -0.85449801 -0.43819574]
[ 0.95329084 -0.20825167 0.04241911 0.2584316 ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2871 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2871/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2871/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2871/events | https://github.com/pandas-dev/pandas/pull/2871 | 10,982,930 | MDExOlB1bGxSZXF1ZXN0NDEzODAxMw== | 2,871 | ENH: implement Block splitting to avoid upcasts where possible (GH #2794) | {
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- bugfix in internals.Block.putmask; was upcasting always on an int; and upcasting to float, (now float64)
```
In [6]: df = pd.DataFrame(1,columns=['a'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2872 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2872/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2872/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2872/events | https://github.com/pandas-dev/pandas/issues/2872 | 10,990,542 | MDU6SXNzdWUxMDk5MDU0Mg== | 2,872 | unique() broken for datetime64[ns] columns | {
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"followers_url": "https://api.github.com/users/wesm/... | 6 | 2013-02-14T10:37:22Z | 2013-04-19T00:55:56Z | 2013-03-12T14:59:09Z | NONE | null | I have a data frame containing a column with timestamps using the numpy datetime data type. The unique() function on that column returns obviously invalid data:
``` python
cues[(cues.component == '/usr/bin/naoqi-bin') & (cues.thread_id == 0)].start_time
Out[50]:
time
2013-02-14 10:11:13.480284 2013-02-14 10:09:34.6... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2873 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2873/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2873/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2873/events | https://github.com/pandas-dev/pandas/issues/2873 | 11,002,940 | MDU6SXNzdWUxMTAwMjk0MA== | 2,873 | SparseDataFrame should be able to handle also non float non sparse Columns | {
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"followers_url": "https://api.github.com/users/wesm... | 7 | 2013-02-14T16:23:36Z | 2014-02-28T23:57:54Z | 2013-09-20T23:01:08Z | CONTRIBUTOR | null | dup of #667
I use pandas version 0.10.1
When trying to build a DataFrame with columns that can equally be of the type int/float/str
and be sparse or not I ran into trouble.
```
from pandas import DataFrame
x = DataFrame(randn(10000, 2), columns = ['a', 'b'])
y = DataFrame(randn(10000, 2), columns = ['c', 'd'])
impo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2874 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2874/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2874/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2874/events | https://github.com/pandas-dev/pandas/issues/2874 | 11,008,812 | MDU6SXNzdWUxMTAwODgxMg== | 2,874 | Apply fails on empty Series | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2013-02-14T18:56:59Z | 2013-03-20T01:28:17Z | 2013-03-20T01:28:17Z | NONE | null | I would expect the sum of [] to be giving me 0 as numpy would:
```
In [18]: import numpy as np
In [19]: np.sum([])
Out[19]: 0.0
```
but it appears apply cannot handle a lambda with a sum within if its logical selection evaluates to a empty series.
```
In [15]: a = pd.Series([])
In [16]: a.apply(lambda x: sum(a == ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2875 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2875/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2875/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2875/events | https://github.com/pandas-dev/pandas/pull/2875 | 11,011,745 | MDExOlB1bGxSZXF1ZXN0NDE1MTk4MA== | 2,875 | BUG: issue in get_dtype_counts for SparseDataFrame (introduced by dtypes) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2876 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2876/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2876/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2876/events | https://github.com/pandas-dev/pandas/issues/2876 | 11,044,846 | MDU6SXNzdWUxMTA0NDg0Ng== | 2,876 | Printing a DataFrame is slow | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2013-02-15T17:35:14Z | 2013-02-22T06:22:34Z | 2013-02-22T06:22:34Z | NONE | null | For some reason, calling `print df` is really slow:
```
In [1]: import pandas
In [2]: import numpy as np
In [3]: df = pandas.DataFrame(np.random.randn(1000,100000))
In [4]: %timeit print df
1 loops, best of 3: 1.93 s per loop
In [5]: %timeit print df.values
1000 loops, best of 3: 1.25 ms per loop
```
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https://api.github.com/repos/pandas-dev/pandas/issues/2877 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2877/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2877/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2877/events | https://github.com/pandas-dev/pandas/issues/2877 | 11,049,705 | MDU6SXNzdWUxMTA0OTcwNQ== | 2,877 | 'Cannot compare tz-naive and tz-aware timestamps' when plotting series | {
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"followers_url": "https://api.github.com/users/wesm/... | 3 | 2013-02-15T19:55:15Z | 2013-03-15T20:51:59Z | 2013-03-15T20:51:59Z | CONTRIBUTOR | null | Pandas version 0.10.1:
```
import pandas as pd
index = pd.date_range('1/1/2011', periods=2, freq='H', tz='Europe/Brussels')
ts = pd.Series([188.5, 328.25], index=index)
ts.plot()
```
yields the following exception:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python27\lib\s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2878 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2878/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2878/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2878/events | https://github.com/pandas-dev/pandas/pull/2878 | 11,052,138 | MDExOlB1bGxSZXF1ZXN0NDE3MTczNg== | 2,878 | BUG/TST: Yahoo Finance (a foundational resolve of GH: #2847, #2853) | {
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- BUG: Fixed decode issue in `get_data_yahoo()` for python 3.3 (resolves #2847)
- ENH: Updated `_calc_return_index()` function to properly handle groups of multiple stocks that do not share the first valid price on the same date (i.e., stocks whose IPO's dates ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2879 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2879/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2879/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2879/events | https://github.com/pandas-dev/pandas/pull/2879 | 11,057,205 | MDExOlB1bGxSZXF1ZXN0NDE3NDUxMw== | 2,879 | RLS: fixup RELEASE.rst links | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2880 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2880/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2880/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2880/events | https://github.com/pandas-dev/pandas/pull/2880 | 11,063,259 | MDExOlB1bGxSZXF1ZXN0NDE3NjQxNg== | 2,880 | BUG: Series construction from MaskedArray fails for non-floating, non-object types | {
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``` python
In [1]: from numpy.ma import MaskedArray as ma
In [2]: from pandas import Series, DataFrame
In [3]: from datetime import datetime as dt
In [4]: mask = [True, False]
In [5]: Series(ma([2... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2881 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2881/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2881/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2881/events | https://github.com/pandas-dev/pandas/pull/2881 | 11,068,172 | MDExOlB1bGxSZXF1ZXN0NDE3NzkxMw== | 2,881 | BUG: fix max_columns=0, close #2856 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2882 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2882/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2882/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2882/events | https://github.com/pandas-dev/pandas/issues/2882 | 11,074,733 | MDU6SXNzdWUxMTA3NDczMw== | 2,882 | Docs comment about scipy.stats.rankdata no longer true | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2883 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2883/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2883/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2883/events | https://github.com/pandas-dev/pandas/pull/2883 | 11,078,281 | MDExOlB1bGxSZXF1ZXN0NDE3OTE3MQ== | 2,883 | BUG: Fix broken YearBegin offset. Closes #2844. | {
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"followers_url": "https://api.github.com/users/wesm/... | 4 | 2013-02-16T20:24:03Z | 2014-07-08T08:39:35Z | 2013-04-08T07:18:48Z | CONTRIBUTOR | null | This should close #2844. Good but unsettling news is it wasn't an implementation bug. The logic for handling months in the YearBegin offset just wasn't written. It was hard-coded to always be Year, 1, 1.
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https://api.github.com/repos/pandas-dev/pandas/issues/2884 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2884/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2884/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2884/events | https://github.com/pandas-dev/pandas/pull/2884 | 11,079,324 | MDExOlB1bGxSZXF1ZXN0NDE3OTUxNQ== | 2,884 | DOC: Added note about changes in Options class to 'what's new' v 0.11 | {
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Signed-off-by: Spencer Lyon spencerlyon2@gmail.com
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... | 1 | 2013-02-16T22:09:52Z | 2020-03-31T03:37:24Z | 2020-03-31T03:37:24Z | CONTRIBUTOR | null | related #4804
I don't know if it's worth filing an issue or this is just how it is now, but I find it odd that "Q" is not a default offset like `QuarterEnd` or `quarterEnd`. Makes things a little tricky for statsmodels since I've been treating "Q" as `quarterEnd`.
```
pandas.datetools.to_offset("Q")
#<1 QuarterEnd: s... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2886 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2886/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2886/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2886/events | https://github.com/pandas-dev/pandas/issues/2886 | 11,082,057 | MDU6SXNzdWUxMTA4MjA1Nw== | 2,886 | read_csv() & extra trailing comma(s) cause parsing issues. | {
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Symptoms:
1. With extra trailing commas and setting index_col=False read_csv() fails with: IndexError: list index out of range
2. When one or more CSV rows has additio... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2887 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2887/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2887/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2887/events | https://github.com/pandas-dev/pandas/issues/2887 | 11,082,576 | MDU6SXNzdWUxMTA4MjU3Ng== | 2,887 | ambiguous col/index name | {
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"f... | 2 | 2013-02-17T03:25:01Z | 2014-05-29T06:08:18Z | 2014-05-29T06:08:18Z | CONTRIBUTOR | null | This feels vaguely familiar but the DataFrame display is wrong after the stack/reset_index operations below (xref: http://stackoverflow.com/questions/14916358/reshaping-dataframes-in-pandas-based-on-column-labels/14917572#14917572):
```
In [58]: df
Out[58]:
sample s1 s2
variable ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2888 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2888/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2888/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2888/events | https://github.com/pandas-dev/pandas/issues/2888 | 11,088,297 | MDU6SXNzdWUxMTA4ODI5Nw== | 2,888 | Problem with pandas.Series.std() | {
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I ran the following commands on "pandas.Series" object named "S":
> > > S.std()
> > > 39192.660667875185
> > > S.values.std()
> > > 17570.025893232512
> > > numpy.std(S)
> > > 39192.500822771792
> > > numpy.std(S.values)
> > > 17570.025893232512
Correct standard deviation is 17570.02589
I should have got the... | {
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"f... | 3 | 2013-02-18T14:33:25Z | 2018-09-04T22:11:24Z | 2018-09-04T22:11:23Z | MEMBER | null | http://www.openbsd.org/cgi-bin/cvsweb/src/lib/libc/time/strptime.c?rev=1.15;content-type=text%2Fplain
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https://api.github.com/repos/pandas-dev/pandas/issues/2891 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2891/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2891/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2891/events | https://github.com/pandas-dev/pandas/issues/2891 | 11,122,408 | MDU6SXNzdWUxMTEyMjQwOA== | 2,891 | Cannot unpickle `DataFrame` created from period_range | {
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"followers_url": "https://api.github.com/users/wesm/... | 1 | 2013-02-18T16:50:41Z | 2013-03-30T21:06:16Z | 2013-03-30T21:06:07Z | CONTRIBUTOR | null | Running the following snippet on pandas version 0.10.1 leads the traceback at the bottom:
``` python
import numpy as np
import pandas as pd
from pandas import *
prng = period_range('1/1/2011', '1/1/2012', freq='M')
ts = Series(np.random.randn(len(prng)), prng)
ts.save('pd_save')
new_ts = pd.load('pd_save')
print new... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2892 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2892/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2892/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2892/events | https://github.com/pandas-dev/pandas/issues/2892 | 11,124,945 | MDU6SXNzdWUxMTEyNDk0NQ== | 2,892 | intermittent segfault after take error | {
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"followers_url": "https://api.github.com/users/wesm/... | 40 | 2013-02-18T17:53:53Z | 2013-03-13T00:22:32Z | 2013-03-13T00:22:32Z | CONTRIBUTOR | null | Was playing around and managed to get a segfault, in several versions. It's a little intermittent, and it may have to do with how things are left after an error is encountered. The same code without the the faulty take line doesn't crash for me.
``` python
>>> import pandas as pd, sys
>>> sys.version
'2.7.3 (default... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2893 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2893/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2893/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2893/events | https://github.com/pandas-dev/pandas/issues/2893 | 11,127,546 | MDU6SXNzdWUxMTEyNzU0Ng== | 2,893 | Inconsistent DataFrame.groupby returned type when grouped value is unique | {
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"followers_url": "https://api.github.com/users/wesm/... | 2 | 2013-02-18T19:14:58Z | 2013-05-14T11:54:01Z | 2013-04-08T16:41:15Z | NONE | null | I am using groupby().apply() to compute new columns in a dataframe, for example like this:
``` python
df1 = DataFrame([{"val1": 1, "val2" : 20}, {"val1":1, "val2": 19}, {"val1":2, "val2": 27}, {"val1":2, "val2": 12}])
def func(dataf):
return dataf["val2"] - dataf["val2"].mean()
print type(df1.groupby("val1").app... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2894 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2894/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2894/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2894/events | https://github.com/pandas-dev/pandas/issues/2894 | 11,133,396 | MDU6SXNzdWUxMTEzMzM5Ng== | 2,894 | Valgrind error | {
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"followers_url": "https://api.github.com/users/jorisva... | 5 | 2013-02-18T22:08:37Z | 2016-09-29T22:44:19Z | 2016-09-29T22:22:34Z | NONE | null | I'm seeing Valgrind errors when importing Pandas. This Python is built with --with-valgrind, which disables PyMalloc when running under valgrind. The Pandas version was pulled from Github just now, but this issue happens with 0.10 also.
```
~$ valgrind python -c 'import sys'
==2832== Memcheck, a memory error detecto... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2895 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2895/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2895/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2895/events | https://github.com/pandas-dev/pandas/issues/2895 | 11,140,280 | MDU6SXNzdWUxMTE0MDI4MA== | 2,895 | TEST #notebook #test-tag | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2896 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2896/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2896/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2896/events | https://github.com/pandas-dev/pandas/issues/2896 | 11,153,956 | MDU6SXNzdWUxMTE1Mzk1Ng== | 2,896 | Creating a MultiIndex with quantities fails. | {
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] | closed | false | null | [] | null | 6 | 2013-02-19T13:55:24Z | 2013-03-15T12:16:03Z | 2013-03-15T12:16:03Z | NONE | null | Using pandas MultiIndex with indices having quantities fails in some cases. An example is shown below.
```
import quantities as pq
import pandas as pd
i = np.arange(10) * pq.J
j = np.array([1 for _ in xrange(10)]) * pq.K
pd.MultiIndex.from_tuples(zip(i, j), names=['Energy', 'Temperature'])
```
This fails with the f... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2897 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2897/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2897/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2897/events | https://github.com/pandas-dev/pandas/issues/2897 | 11,154,720 | MDU6SXNzdWUxMTE1NDcyMA== | 2,897 | Wrong indexing with time zone support | {
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```
def test_tz_error(self):
import pandas, pytz
from datetime import datetime
from datetime import timedelta as td
tz = pytz.timezone('Europe/Warsaw')
ts_from = tz.localize(datetime(2012, 1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2898 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2898/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2898/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2898/events | https://github.com/pandas-dev/pandas/issues/2898 | 11,156,641 | MDU6SXNzdWUxMTE1NjY0MQ== | 2,898 | BUG: Series subtraction with Timestamp on rhs | {
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http://stackoverflow.com/questions/14948838/pandas-timestamp-subtraction
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https://api.github.com/repos/pandas-dev/pandas/issues/2899 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2899/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2899/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2899/events | https://github.com/pandas-dev/pandas/pull/2899 | 11,156,819 | MDExOlB1bGxSZXF1ZXN0NDIxMDYwOQ== | 2,899 | BUG: Series ops with a rhs of a Timestamp raising exception (#2898) | {
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... | closed | false | null | [] | null | 9 | 2013-02-19T15:11:51Z | 2014-06-12T07:39:59Z | 2013-02-23T20:30:30Z | CONTRIBUTOR | null | - Series ops with a rhs of a Timestamp was throwing an exception (#2898)
- fixed issue in _index.convert_scalar where the rhs was a non-scalar, lhs was dtype of M8[ns], and was trying
to convert to a scalar (but didn't need conversion)
- added some utilities in tslib.pyx, inference.pyx to detect and convert timedelta... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2900 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2900/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2900/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2900/events | https://github.com/pandas-dev/pandas/issues/2900 | 11,160,902 | MDU6SXNzdWUxMTE2MDkwMg== | 2,900 | Consistency between indexing by labels and "exporting" data | {
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"gists_url": "https... | [] | closed | false | null | [] | null | 21 | 2013-02-19T16:45:21Z | 2013-03-19T23:53:09Z | 2013-03-19T23:53:09Z | NONE | null | I think this falls under the Zen of Python, "explicit is better than implicit".
Documentation says "In pandas, our general viewpoint is that labels matter more than integer locations". But I've been caught a few times when trying to carry over this viewpoint to things that access a DataFrame via .as_matrix(). as_mat... | {
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