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https://api.github.com/repos/pandas-dev/pandas/issues/5101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5101/events | https://github.com/pandas-dev/pandas/pull/5101 | 20,486,542 | MDExOlB1bGxSZXF1ZXN0ODgyMzcxNw== | 5,101 | BUG: fix PeriodIndex join with DatetimeIndex stack overflow | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5102 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5102/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5102/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5102/events | https://github.com/pandas-dev/pandas/issues/5102 | 20,488,346 | MDU6SXNzdWUyMDQ4ODM0Ng== | 5,102 | BUG: in .groupby.SeriesGroupBy plot not accessible? | {
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``` python
---------------------------------------------------------------------------
AttributeError ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5103 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5103/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5103/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5103/events | https://github.com/pandas-dev/pandas/issues/5103 | 20,491,531 | MDU6SXNzdWUyMDQ5MTUzMQ== | 5,103 | DataFrame.cumsum() breaks when using a DataFrame that was filled using the isnan() function | {
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`df = DataFrame(index=["A","B","C"], columns = [1,2,3,4,5])
df2 = df.fillna(1)
df2.cumsum()`
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https://api.github.com/repos/pandas-dev/pandas/issues/5104 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5104/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5104/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5104/events | https://github.com/pandas-dev/pandas/issues/5104 | 20,492,024 | MDU6SXNzdWUyMDQ5MjAyNA== | 5,104 | ENH: Allow inplace arithmetic operations | {
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also fixes extra plots created by groupby plotting (couldn't find an issue), now there's a test that ensures that groupby only plots the number of axes/figures it's supposed to
removes an unused internal groupby parameter
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https://api.github.com/repos/pandas-dev/pandas/issues/5106 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5106/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5106/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5106/events | https://github.com/pandas-dev/pandas/pull/5106 | 20,493,251 | MDExOlB1bGxSZXF1ZXN0ODgyNzcxNQ== | 5,106 | BUG: read_html should convert array skiprows into a list | {
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https://travis-ci.org/cpcloud/pandas/jobs/12117482
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... | 25 | 2013-10-04T05:03:20Z | 2019-01-21T14:24:20Z | 2019-01-21T14:24:20Z | CONTRIBUTOR | null | ```
pd.read_html("http://www.sec.gov/Archives/edgar/data/1174922/000119312513329016/d548026d10q.htm",header=[1,2,3])
```
```
----> 1 pd.read_html("http://www.sec.gov/Archives/edgar/data/1174922/000119312513329016/d548026d10q.htm",header=[1,2,3])
/home/alex/git/pandas/pandas/io/html.pyc in read_html(io, match, flavor,... | {
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"followers_url": "https://api.github.com/users/jorisva... | 2 | 2013-10-04T15:28:52Z | 2018-07-06T20:21:02Z | 2017-07-10T21:09:02Z | CONTRIBUTOR | null | This is similar to Issue #1533 and I've adapted the example from there.
``` python
import numpy as np
import pandas as pd
a = pd.Panel(items=[1,2,3], major_axis=[11,22,33], minor_axis=[111,222,333])
b = pd.DataFrame(np.random.randn(2,3), index=[111,333], columns=[1,2,3])
c = pd.DataFrame(np.mat('1 2 3; 4 5 6'), index=... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5110 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5110/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5110/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5110/events | https://github.com/pandas-dev/pandas/issues/5110 | 20,536,285 | MDU6SXNzdWUyMDUzNjI4NQ== | 5,110 | DOC: build error from infer_dst feature | {
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```
AmbiguousTimeError: Cannot infer dst time from Timestamp('2011-11-06 01:00:00', tz=None), try using the 'infer_dst' argument
```
pr on the way
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https://api.github.com/repos/pandas-dev/pandas/issues/5111 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5111/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5111/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5111/events | https://github.com/pandas-dev/pandas/pull/5111 | 20,537,126 | MDExOlB1bGxSZXF1ZXN0ODg0NTkyOA== | 5,111 | DOC: doc fixups | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5112 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5112/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5112/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5112/events | https://github.com/pandas-dev/pandas/pull/5112 | 20,541,464 | MDExOlB1bGxSZXF1ZXN0ODg0ODM5MQ== | 5,112 | API: convert objects on fillna when object result dtype, related (GH5103) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5113 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5113/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5113/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5113/events | https://github.com/pandas-dev/pandas/issues/5113 | 20,549,324 | MDU6SXNzdWUyMDU0OTMyNA== | 5,113 | virtualenv installation fails on mac OSX 10.8.5. virtualenv 1.8.4; python 2.7.2 | {
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$ bin/pip install pandas
Downloading/unpacking pandas
Downloading pandas-0.12.0.tar.gz (3.2MB): 3.2MB downloaded
Running setup.py egg_info for package pandas
Running from numpy source directory.
Traceback (most recent call last):
File "<string>", line 16, in <module>
File "/Users/timanovsky/... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5114 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5114/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5114/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5114/events | https://github.com/pandas-dev/pandas/issues/5114 | 20,554,335 | MDU6SXNzdWUyMDU1NDMzNQ== | 5,114 | MultiIndex DataFrame with tuple columns error? | {
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I get the below error when storing to a CSV a DataFrame with a multiIndex column composed of tuples and then loading it afterwards. Thanks for your help!
``` python
import pandas as pd
import numpy as np
tup = ('a','g','b')
arrays = [[tup] * 4, range(1,5)]
tuples = zip(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5115 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5115/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5115/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5115/events | https://github.com/pandas-dev/pandas/issues/5115 | 20,557,466 | MDU6SXNzdWUyMDU1NzQ2Ng== | 5,115 | No WeekOfMonth Defined for Weekends | {
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In [35]: pd.date_range("2013-1-1", periods=4,freq='WOM-1SAT')
----> 1 pd.date_range("2013-1-1", periods=4,freq='WOM-1SAT')
/home/alex/git/pandas/pandas/tseries/index.pyc in date_range(start, end, periods, freq, tz, normalize, name)
1724 """
1725 return DatetimeIndex(start=start, end=end, periods=peri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5116 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5116/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5116/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5116/events | https://github.com/pandas-dev/pandas/issues/5116 | 20,559,663 | MDU6SXNzdWUyMDU1OTY2Mw== | 5,116 | BUG: Apparent Canopy IPython bugs with PySide bindings. | {
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"followers_url": "https://api.github.com/users/... | 7 | 2013-10-05T04:30:05Z | 2013-10-08T23:55:51Z | 2013-10-08T23:55:51Z | CONTRIBUTOR | null | Opening up a separate issue about some Canopy IPython bugs that pandas (or new BigQuery IO module) may be producing. @azbones, @jacobschaer, @sean-schaefer and others, let's work here to figure it out.
Related comments in #4140.
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https://api.github.com/repos/pandas-dev/pandas/issues/5117 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5117/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5117/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5117/events | https://github.com/pandas-dev/pandas/pull/5117 | 20,566,594 | MDExOlB1bGxSZXF1ZXN0ODg2MTg3MQ== | 5,117 | CLN: Remove redundant initialization from Int64Index and Float64Index constructor | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5118 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5118/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5118/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5118/events | https://github.com/pandas-dev/pandas/issues/5118 | 20,566,839 | MDU6SXNzdWUyMDU2NjgzOQ== | 5,118 | BUG: Failing eval tests on OS X | {
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```
pandas.computation.tests.test_eval.TestAlignment.test_basic_series_frame_alignment('numexpr', 'python') ... /Users/jtratner/scratch/pandas/pandas/core/index.py:900: RuntimeWarning: tp_compare didn't return -1... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5119 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5119/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5119/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5119/events | https://github.com/pandas-dev/pandas/pull/5119 | 20,566,939 | MDExOlB1bGxSZXF1ZXN0ODg2MTk4Ng== | 5,119 | CLN: Remove leftover test.py file | {
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the json normalize PR. I'm assuming it shouldn't be here. @jreback
@cpcloud? I think it's causing the test suite to hang for me, since I
run it from within the pandas directory.
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https://api.github.com/repos/pandas-dev/pandas/issues/5120 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5120/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5120/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5120/events | https://github.com/pandas-dev/pandas/issues/5120 | 20,570,023 | MDU6SXNzdWUyMDU3MDAyMw== | 5,120 | ENH?: __repr__ method for Index objects | {
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covered
example travis fail:
https://travis-ci.org/pydata/pandas/jobs/12171563
explanation (for the record):
if you print out `options` before this commit you'll see that they are all overwritten with a single value. Whatever this value ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5122 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5122/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5122/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5122/events | https://github.com/pandas-dev/pandas/pull/5122 | 20,576,725 | MDExOlB1bGxSZXF1ZXN0ODg2NTg0Mw== | 5,122 | TST: Tests and fix for unhandled data types in Excel writers. | {
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Excel writers. Issue #3122.
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https://api.github.com/repos/pandas-dev/pandas/issues/5123 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5123/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5123/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5123/events | https://github.com/pandas-dev/pandas/issues/5123 | 20,582,492 | MDU6SXNzdWUyMDU4MjQ5Mg== | 5,123 | BUG: Segfault on isnull(MultiIndex) | {
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In [1]: from pandas import *
In [2]: idx = MultiIndex.from_tuples([(0, 'a'), (1, 'b'), (2, 'c')])
In [3]: pd.isnull(idx)
Segmentation fault: 11
(pandas-dev)dhcp80fff527:pandas tom$
```
This is on latest master (`'0.12.0-757-g69b67f3'`). Numpy 1.7.1.
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https://api.github.com/repos/pandas-dev/pandas/issues/5124 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5124/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5124/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5124/events | https://github.com/pandas-dev/pandas/pull/5124 | 20,582,542 | MDExOlB1bGxSZXF1ZXN0ODg2Nzk4Ng== | 5,124 | Add indexer and str to API documentation | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5125 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5125/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5125/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5125/events | https://github.com/pandas-dev/pandas/pull/5125 | 20,582,931 | MDExOlB1bGxSZXF1ZXN0ODg2ODE2MQ== | 5,125 | BUG: Fix segfault on isnull(MultiIndex) | {
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Fixes #5123.
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It is not clear to me what the default value of parse_dates is.
Alson on read_html is listed as "bool" whereas on read_csv as "boolean, list of ints or names, list of lists, or dict".
I am not sure what setting parse_date... | {
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I added a test for indexing with int-typed arrays containing single indices, which currently fails. I spent some time reading test_indexing, because my hunch is that it could be better integrated with the existing tes... | {
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"followers_url": "https://api.github.com/users/... | 7 | 2013-10-06T19:42:15Z | 2014-06-29T09:44:06Z | 2013-12-22T21:02:16Z | CONTRIBUTOR | null | This is an initial patch to add PyExcelerate as an Excel writer engine.
**It isn't suitable for merge** yet since there is issue with date handling in PyExcelerate that I am working to resolve with the authors. I just want this to appear on the pandas timeline for now so I can refer to it in other PRs.
1. The requirem... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5129 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5129/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5129/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5129/events | https://github.com/pandas-dev/pandas/issues/5129 | 20,585,239 | MDU6SXNzdWUyMDU4NTIzOQ== | 5,129 | Exception with read_html and header | {
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"followers_url": "https://api.github.com/users/jr... | 23 | 2013-10-06T20:02:32Z | 2016-10-12T23:04:16Z | 2014-02-27T19:02:44Z | CONTRIBUTOR | null | ``` python
In [5]: pd.read_html("http://pastebin.com/raw.php?i=7mAF0Ei6",infer_types=False, header=[0,1])[0]
---------------------------------------------------------------------------
----> 1 pd.read_html("http://pastebin.com/raw.php?i=7mAF0Ei6",infer_types=False, header=[0,1])[0]
/home/alex/git/pandas/pandas/io/htm... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5130 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5130/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5130/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5130/events | https://github.com/pandas-dev/pandas/issues/5130 | 20,585,325 | MDU6SXNzdWUyMDU4NTMyNQ== | 5,130 | Make _LxmlFrameParser more extensible | {
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"description": "2014-02-3: previous version released",
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"labels_url": "htt... | 19 | 2013-10-06T20:07:50Z | 2016-10-12T23:04:16Z | 2014-01-29T03:59:48Z | CONTRIBUTOR | null | Allow creating a `_LiberalLxmlFrameParser` (see conversation on: https://github.com/pydata/pandas/issues/4469#issuecomment-22142824)
For now I will factor out:
```
parser = HTMLParser(recover=False)
```
so that subclass can change the behavior.
Would there be an issue with adding `_LiberalLxmlFrameParser` to the P... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5132 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5132/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5132/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5132/events | https://github.com/pandas-dev/pandas/pull/5132 | 20,587,322 | MDExOlB1bGxSZXF1ZXN0ODg2OTg4NQ== | 5,132 | BUG: set_names should not change is_ relationship | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5133 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5133/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5133/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5133/events | https://github.com/pandas-dev/pandas/issues/5133 | 20,587,340 | MDU6SXNzdWUyMDU4NzM0MA== | 5,133 | to_json should validate its arguments | {
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In [67]: df
Out[67]:
counter
created
05-16-13 3
05-17-13 1
05-18-13 1
In [68]: print df.to_json('asdfasdf')
None
In [69]: print df.to_dict('series')
{'counter': created
05-16-13 3
05-17-13 1
05-18-13 1
Name: counter, dtype: int64}
In [70]: print df.counter.to_json('asdfasd... | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-10-07T00:29:03Z | 2013-10-13T23:33:01Z | 2013-10-13T23:33:01Z | CONTRIBUTOR | null | I have put boxes by the ones 2 look at, some/most of these were caused by #3482, but always worth taking a look.
- [x] frame_xs_col, miniscule
- [x] groupby_multi_python, #3482
- [x] concat_series_axis1, series construction overhead (so ok)
- [x] period_setitem, issue #5155, will need to be address in 0.14
- [x] frame_... | {
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```
In [1]: df = DataFrame(dict(A = [1,np.nan]))
In [2]: df
Out[2]:
A
0 1
1 NaN
In [3]: df.fillna('')
ValueError: could not convert string to float:
In [4]: df.replace(np.nan,'')
Out[4]: ... | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-10-07T03:03:53Z | 2014-06-12T23:21:59Z | 2013-10-07T12:27:06Z | CONTRIBUTOR | null | Adds `datetime.time` support to JSON serialiser. Note:
- times are encoded to strings and will be decoded to strings.
- `date_unit` and `date_format` params have no affect on `time` serialisation, they are always iso formatted.
Fixes #4873
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https://api.github.com/repos/pandas-dev/pandas/issues/5138 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5138/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5138/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5138/events | https://github.com/pandas-dev/pandas/pull/5138 | 20,594,119 | MDExOlB1bGxSZXF1ZXN0ODg3MzA2Ng== | 5,138 | ENH: json default_handler param | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-10-07T06:02:37Z | 2014-06-15T16:16:36Z | 2013-10-07T12:36:33Z | CONTRIBUTOR | null | This adds a `default_handler` param to `to_json`, which if passed must be a callable which takes one argument (the object to convert) and returns a serialisable object. The `default_handler` will only be used if an object cannot otherwise be serialised.
Note right now the JSON serialiser has direct handling for:
- Pyt... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5139/events | https://github.com/pandas-dev/pandas/pull/5139 | 20,609,006 | MDExOlB1bGxSZXF1ZXN0ODg4MDgyNA== | 5,139 | TST: fillna(values) equiv of replace(np.nan,values) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5140 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5140/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5140/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5140/events | https://github.com/pandas-dev/pandas/issues/5140 | 20,613,546 | MDU6SXNzdWUyMDYxMzU0Ng== | 5,140 | [sparc, python2.6] test_replace_value_is_none: expected -100000000.00000 but got 0.00000 | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-10-07T14:13:34Z | 2013-10-08T12:13:38Z | 2013-10-08T12:13:38Z | CONTRIBUTOR | null | endianness issue I guess. Seems to happen only with python2.6 on that box:
http://nipy.bic.berkeley.edu/builders/pandas-py2.6-wheezy-sparc/builds/149/steps/shell_4/logs/stdio
`schroot -c wheezy` would bring you into that env (for anyone with access)
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https://api.github.com/repos/pandas-dev/pandas/issues/5141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5141/events | https://github.com/pandas-dev/pandas/issues/5141 | 20,613,687 | MDU6SXNzdWUyMDYxMzY4Nw== | 5,141 | [sparc, python3.3] test_BytesIO_input and test_variable_width_unicode: UnicodeDecodeError: 'ascii' codec can't decode byte 0xd7 in position 0: ordinal not in range(128) | {
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"followers_url": "https://api.github.com/users/wesm... | 1 | 2013-10-07T14:15:51Z | 2013-10-08T02:04:28Z | 2013-10-08T02:04:28Z | CONTRIBUTOR | null | http://nipy.bic.berkeley.edu/builders/pandas-py3.x-sid-sparc/builds/230/steps/shell_4/logs/stdio
```
======================================================================
ERROR: test_variable_width_unicode (pandas.io.tests.test_parsers.TestFwfColspaceSniffing)
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https://api.github.com/repos/pandas-dev/pandas/issues/5142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5142/events | https://github.com/pandas-dev/pandas/issues/5142 | 20,640,528 | MDU6SXNzdWUyMDY0MDUyOA== | 5,142 | doc generation fails on windows | {
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"labels_url": "htt... | 23 | 2013-10-07T21:31:30Z | 2014-01-24T16:50:09Z | 2014-01-24T16:22:19Z | CONTRIBUTOR | null | ```
[...]
reading sources... [ 75%] io
Exception occurred while building, starting debugger:
Traceback (most recent call last):
File "c:\portabel\python27\lib\site-packages\sphinx\cmdline.py", line 246, in
main
app.build(force_all, filenames)
File "c:\portabel\python27\lib\site-packages\sphinx\application.py", ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5143 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5143/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5143/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5143/events | https://github.com/pandas-dev/pandas/issues/5143 | 20,641,179 | MDU6SXNzdWUyMDY0MTE3OQ== | 5,143 | Replace partial matches behavior | {
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"followers_url": "https://api.github.com/users/wesm... | 8 | 2013-10-07T21:43:36Z | 2016-10-12T23:04:16Z | 2013-10-08T04:35:21Z | CONTRIBUTOR | null | I ran into some unexpected behavior with `replace` today.
I want to replace the answer with a numeric value according to the dictionary `weights`
``` python
In [33]: df.answer.head()
Out[33]:
0 Strongly Agree
1 Agree
2 Neutral
3 Disagree
4 Strongly Disagree
Name: answ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5144 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5144/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5144/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5144/events | https://github.com/pandas-dev/pandas/issues/5144 | 20,642,184 | MDU6SXNzdWUyMDY0MjE4NA== | 5,144 | Import StataReader, StataWriter under pandas? | {
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closes #5143.
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https://github.com/pydata/pa... | {
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Fixes #5306 - Removing unused imports
Fixes #5082 - Added `inferred_freq_offset`
Fixes #5028 - fixed issues with `_offset_map`
Fixes #4878 - `freq` parameter for `Period` init supports full set of Offsets.
Fixes #5418 - raise `DateParseError` rather than incorrect `KeyError` for invalid f... | {
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```
======================================================================
ERROR: test_parse_dates_combine (pandas.io.tests.test_html.TestReadHtml)
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```
keep_default_na : bool, default True
If na_values are specified and keep_default_na is False the default NaN values are overridden, otherwise they’re appended to
```
But it is not clear what those defaul... | {
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- PERF: remove auto-boxing on isnull/notnull
related #5135
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"closed_at": "2014-10-23T11:43:09Z",
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very inefficient because on the boxing of the PeriodIndex (to an object index), it recomputes the freq for each Period (even though it is passed), need a fastpath on this type of construction
```
In [1]: rng = period_range('1/1/1990', freq='S', periods=20000)
In [2]: df = D... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5156 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5156/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5156/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5156/events | https://github.com/pandas-dev/pandas/issues/5156 | 20,680,486 | MDU6SXNzdWUyMDY4MDQ4Ng== | 5,156 | BUG: read_csv with bad file coreing | {
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https://groups.google.com/forum/#!topic/pydata/KO-PmQdBUZI
```
In [1]: data = """c1\ntext11,text12\ntext21,text22"""
In [2]: read_csv(StringIO(data))
Out[2]:
c1
text11 text12
text21 text22
In [3]: read_csv(StringIO(data),header=0,names=list('abc'))
Bus error (core dumped)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5157 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5157/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5157/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5157/events | https://github.com/pandas-dev/pandas/pull/5157 | 20,681,593 | MDExOlB1bGxSZXF1ZXN0ODkxODY3Mw== | 5,157 | BUG: Fix to_datetime() uncaught error with unparseable inputs #4928 | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5158 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5158/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5158/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5158/events | https://github.com/pandas-dev/pandas/pull/5158 | 20,682,503 | MDExOlB1bGxSZXF1ZXN0ODkxOTE2OQ== | 5,158 | DOC: Added filtering example to groupby doc | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5159 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5159/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5159/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5159/events | https://github.com/pandas-dev/pandas/pull/5159 | 20,692,529 | MDExOlB1bGxSZXF1ZXN0ODkyNDk5MQ== | 5,159 | API/PERF: restore auto-boxing on isnull/notnull for Series (w/o copy) preserves perf gains | {
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boxing via null/isnull is same as 0.12
(aside from now `isnull/notnull` are now available on `NDFrame` objs as well)
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https://api.github.com/repos/pandas-dev/pandas/issues/5160 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5160/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5160/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5160/events | https://github.com/pandas-dev/pandas/pull/5160 | 20,706,290 | MDExOlB1bGxSZXF1ZXN0ODkzMzA0Mg== | 5,160 | DOC: add DataFrame et al class docstring to api docs | {
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I copied the approach of numpy: extending the autosummary class template to automatically generate all method stub files:
- https://github.com/numpy/numpy/blob/master/doc/source/_templates/autosummary/class.rst
- example output: http://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html
I add... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5161 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5161/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5161/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5161/events | https://github.com/pandas-dev/pandas/issues/5161 | 20,709,023 | MDU6SXNzdWUyMDcwOTAyMw== | 5,161 | several bugs and/or unexpected behavior cases (pandas v. 0.12.0) | {
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import numpy as np
import pandas as pd
from pandas import Series, DataFrame
from pandas.tseries import offsets
```
```
# bug 1: the dtype of "id" changes from int to float, why?
df1 = DataFrame([[1, 10.0],
[2, 20.0]],
columns=['id', 'value'])
df2 = DataFrame([[2, -20.0],
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https://api.github.com/repos/pandas-dev/pandas/issues/5162 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5162/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5162/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5162/events | https://github.com/pandas-dev/pandas/issues/5162 | 20,737,287 | MDU6SXNzdWUyMDczNzI4Nw== | 5,162 | DataFrame.copy(True) does not copy index properly | {
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"color": "00... | closed | false | null | [] | null | 7 | 2013-10-09T11:52:42Z | 2013-10-10T16:36:41Z | 2013-10-09T12:00:09Z | CONTRIBUTOR | null | It seemed that after DataFrame.copy(deep=True) does not copy the data of index but keeps the reference to it.
version: pandas-0.12.0
For example:
```
df1 = pd.DataFrame({'data':0}, index=pd.date_range('2001-01-01','2001-01-05'))
df1 = df1.tz_localize('UTC')
print 'DF1 initial'
print df1
df2 = df1.copy()
df2.index.t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5163 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5163/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5163/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5163/events | https://github.com/pandas-dev/pandas/issues/5163 | 20,738,497 | MDU6SXNzdWUyMDczODQ5Nw== | 5,163 | ER: empty frame assignment to frame results in unclear error message | {
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... | 0 | 2013-10-09T12:22:46Z | 2020-04-27T02:52:26Z | null | CONTRIBUTOR | null | http://stackoverflow.com/questions/19267029/why-pandas-transform-fails-if-you-only-have-a-single-column/19271841#19271841
Even though this is a correct error message, when it comes out of a groupby assignment via transform its 'unclear'. (as the assignment when the rhs has a single-column 'works')
```
In [48]: df = D... | {
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Usecase / how to reproduce:
In ipython, type:
In [1]: x = pd.Series([1, 2])
In [2]: print x.dtype
Out[2]: dtype('int64')
In [3]: x.describe()
Out[3]:
count 2.000000
mean 1.500000
std 0.707107
min 1.000000
25% 1.250000
50% 1.500000
75% 1.750000
max 2.000000
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```
>> pd.Timestamp('2012-01-01', 'US/Pacific')
Timestamp('2012-01-01 00:00:00', tz=None)
```
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This is with pandas 0.11 with pd.Term, seems like pandas is moving to string queries rather than pd.Term in the future?
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```
df = pd.DataFrame([0], index=[datetime(2012, 11, 4, 23, 0, 0)])
df = df.tz_localize('America/New_York')
df.resample(rule='D', how='sum')
```
raises a AmbiguousTimeError even though datetime(2012, 11, 4, 23, 0, 0) is not ambiguous.
- [x] #8601
```
idx = date_range('2014-10-08 00:00','2014-10-09 00:00... | {
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``` python
import pandas as pd
import numpy
import datetime
s1 = pd.Series([datetime.datetime.now() - datetime.timedelta(days=i) for i in range(5)])
s2 = pd.Series(['a1', 'a1', 'a2', 'a2', 'a3'])
s3 = pd.Series([i for i in range(5)])
frame = pd.DataFrame({'s1': s1, 's2': s1, 's3': s3... | {
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"description": "pandas testing functions... | closed | false | null | [] | {
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$ nosetests pandas/tests/test_generic.py:TestSeries.test_interp_quad
F
======================================================================
FAIL: test_interp_quad (pandas.tests.test_generic.TestSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5175 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5175/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5175/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5175/events | https://github.com/pandas-dev/pandas/issues/5175 | 20,820,881 | MDU6SXNzdWUyMDgyMDg4MQ== | 5,175 | BUG: DateOffset weekday around DST produces unexpected results | {
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"description": "Timezone data dtype",
... | closed | false | null | [] | {
"closed_at": "2014-10-23T11:43:09Z",
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"followers_url": "https://api.github.com/users/jr... | 35 | 2013-10-10T17:03:01Z | 2014-09-04T22:18:50Z | 2014-09-04T22:18:50Z | CONTRIBUTOR | null | I want next Monday:
```
def next_week_start(t):
return t + pd.DateOffset(weekday=0)
```
But for DST (fall back is Sunday 2013-11-03):
```
>> next_week_start(pd.Timestamp("2013-10-30", tz="US/Pacific"))
Timestamp('2013-11-03 23:00:00-0800', tz='US/Pacific')
```
which is Sunday at 11pm, not Monday.
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https://api.github.com/repos/pandas-dev/pandas/issues/5176 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5176/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5176/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5176/events | https://github.com/pandas-dev/pandas/issues/5176 | 20,821,509 | MDU6SXNzdWUyMDgyMTUwOQ== | 5,176 | pivot_table with margins=True fails | {
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<pre>
import pandas as pd
values = pd.Series(i for i in range(5))
rows = pd.Series(['a', 'b', 'a', 'a', 'b'])
columns = pd.date_range('20130101',periods=5)
df = pd.DataFrame({'values': values, 'rows': rows, 'columns': columns})
pivot = pd.pivot_table(
data=d... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5177 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5177/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5177/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5177/events | https://github.com/pandas-dev/pandas/pull/5177 | 20,827,023 | MDExOlB1bGxSZXF1ZXN0OTAwMDY2NQ== | 5,177 | API: make allclose comparison on dtype downcasting (GH5174) | {
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closes #5174
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https://api.github.com/repos/pandas-dev/pandas/issues/5178 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5178/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5178/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5178/events | https://github.com/pandas-dev/pandas/pull/5178 | 20,838,081 | MDExOlB1bGxSZXF1ZXN0OTAwNzI2MA== | 5,178 | PERF: calling get_indexer twice when a specialized indexer (e.g. pad) could be called instead | {
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```
Invoked with :
--ncalls: 3
--repeats: 3
-------------------------------------------------------------------------------
Test name | head[ms] | base[ms] | ratio |
-------------------------------------------------------------------------------
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https://api.github.com/repos/pandas-dev/pandas/issues/5179 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5179/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5179/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5179/events | https://github.com/pandas-dev/pandas/pull/5179 | 20,839,515 | MDExOlB1bGxSZXF1ZXN0OTAwODE2MA== | 5,179 | GBQ: Updated Documentation, and added method to generic.py | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5180 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5180/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5180/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5180/events | https://github.com/pandas-dev/pandas/pull/5180 | 20,865,102 | MDExOlB1bGxSZXF1ZXN0OTAyMjM3Mw== | 5,180 | TST: addtl pytables tests | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5181 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5181/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5181/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5181/events | https://github.com/pandas-dev/pandas/pull/5181 | 20,871,256 | MDExOlB1bGxSZXF1ZXN0OTAyNTc3Mw== | 5,181 | fix replacement key for deprecated option `display.height` | {
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"followers_url": "https://api.github.com/users/wesm... | 2 | 2013-10-11T14:19:03Z | 2014-07-16T08:34:04Z | 2013-10-14T01:53:38Z | CONTRIBUTOR | null | replacement key for deprecated option `display.height` was set to `display.height` itself. I believe it should be `display.max_rows` instead.
This avoid a weird message in `describe_option()` :
```
display.height: [default: 60] [currently: 60]
: int
Deprecated.
(Deprecated, use `display.height` instead.)
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https://api.github.com/repos/pandas-dev/pandas/issues/5182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5182/events | https://github.com/pandas-dev/pandas/issues/5182 | 20,874,769 | MDU6SXNzdWUyMDg3NDc2OQ== | 5,182 | KeyError: 'trait_names' in py3k | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2013-10-11T15:14:39Z | 2013-10-14T21:51:32Z | 2013-10-12T01:29:49Z | CONTRIBUTOR | null | When tab completing in ipython notebook on `pd.options...`, nothing shows up, and on the backend (in iterm) I see a `KeyError: 'trait_names'`, with a longer traceback.
pd.version.version == '0.12.0'
python version == 3.3.2
IPython.version_info == (2, 0, 0, 'dev')
Pandas is latest from pip, and ipython is latest from ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5183 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5183/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5183/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5183/events | https://github.com/pandas-dev/pandas/issues/5183 | 20,879,037 | MDU6SXNzdWUyMDg3OTAzNw== | 5,183 | ENH: NDFrame.equals | {
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"description": "2014-02-3: previous version released",
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"labels_url": "htt... | 10 | 2013-10-11T16:26:28Z | 2014-01-24T21:43:37Z | 2014-01-24T21:43:37Z | CONTRIBUTOR | null | seems we need a public version of `tm.assert_frame_equal`
maybe `equals` on generic NDFrame objects
http://stackoverflow.com/questions/19322506/pandas-nan-comparison
seems good on the values comparison (should compare axes/types as well of course)
```
((df1 == df2) | ((df != df) & (df2 != df2))).values.all()
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5184 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5184/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5184/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5184/events | https://github.com/pandas-dev/pandas/issues/5184 | 20,885,044 | MDU6SXNzdWUyMDg4NTA0NA== | 5,184 | API: parakeet backend for eval | {
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"followers_url": "https://api.github.com/users/jorisva... | 3 | 2013-10-11T18:08:44Z | 2017-06-09T20:36:06Z | 2017-06-09T20:35:59Z | CONTRIBUTOR | null | this might be interesting as it allows jit optimizations but w/o major deps (like blaze/numba).
could be useful as a back end for eval
potentially could be used in apply as well
http://www.parakeetpython.com/
http://www.phi-node.com/2013/01/just-in-time-compilers-for-number.html
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https://api.github.com/repos/pandas-dev/pandas/issues/5185 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5185/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5185/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5185/events | https://github.com/pandas-dev/pandas/issues/5185 | 20,898,979 | MDU6SXNzdWUyMDg5ODk3OQ== | 5,185 | BUG: Formerly useful behavior now raises. | {
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"followers_url": "https://api.github.com/users/wesm... | 3 | 2013-10-11T22:41:54Z | 2013-10-13T15:06:00Z | 2013-10-12T13:54:10Z | CONTRIBUTOR | null | I did this:
In [1]: df1 = DataFrame([1, 2, 3, 4, 5], index=[1, 2, 1, 2, 3])
In [2]: df2 = DataFrame([1, 2, 3], index=[1, 2, 3])
In [3]: df1.sub(df2)
Out[3]:
0
1 0
1 2
2 0
2 2
3 2
which is possible up to and including [this commit](https://github.com/jreback/pandas/commit/725b1951249a795fe01896dff4ce46bd920... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5186/events | https://github.com/pandas-dev/pandas/issues/5186 | 20,899,831 | MDU6SXNzdWUyMDg5OTgzMQ== | 5,186 | pandas.options should raise an AttributeError subclass | {
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``` python
class OptionNotFound(AttributeError, KeyError):
"""Exception for pandas.options, backwards compatible with KeyError checks"""
```
cc @d10genes this should fix your prob... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5187 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5187/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5187/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5187/events | https://github.com/pandas-dev/pandas/pull/5187 | 20,899,938 | MDExOlB1bGxSZXF1ZXN0OTA0MjE5Mg== | 5,187 | BUG: Allow duplicate indices when performing operations that align (GH5185) | {
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```
In [1]: df1 = DataFrame([1, 2, 3, 4, 5], index=[1, 2, 1, 2, 3])
In [2]: df2 = DataFrame([1, 2, 3], index=[1, 2, 3])
In [3]: df1-df2
Out[3]:
0
1 0
1 2
2 0
2 2
3 2
In [4]: df1.sub(df2)
Out[4]:
0
1 0
1 2
2 0
2 2
3 2
```
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It's called OptionError now and it subclasses both AttributeError (for
hasattr) and KeyError (for backwards compatibility). Hurray!
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Very simple to extend - map a string to your class in mapping, define a `from_name`
classmethod, then class gets passed everything after the `-` (if
anything) to its method `from_name()`. Caches to dict afterwards (right
now doesn't use cacheable, but c... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5190 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5190/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5190/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5190/events | https://github.com/pandas-dev/pandas/issues/5190 | 20,911,134 | MDU6SXNzdWUyMDkxMTEzNA== | 5,190 | API: unify sort API | {
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related is #6847 (fixes kind and some arg ordering)
related is #7121 (make `sortlevel` a part of `sort_index` by adding level arg)
the sorting API is currently inconsistent and confusing. here is what exists:
Series:
- `sort`: calls `Series.order`, in-place, defaults `quicksort`
- `order`: do the sor... | {
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When building a DataFrame with specified column names and dtypes, one might expect one of two possible behaviours:
- The column names and dtypes specs are perfectly cromulent, and Pandas goes on to build the object.
- The column names or dtypes don't match the data shape, or the dtypes are badly specifi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5193 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5193/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5193/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5193/events | https://github.com/pandas-dev/pandas/issues/5193 | 20,916,403 | MDU6SXNzdWUyMDkxNjQwMw== | 5,193 | Categorical description fails if only one category is found | {
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```
pd.Categorical(pd.Series([1,1,1,1])).describe()
```
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https://api.github.com/repos/pandas-dev/pandas/issues/5194 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5194/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5194/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5194/events | https://github.com/pandas-dev/pandas/pull/5194 | 20,917,484 | MDExOlB1bGxSZXF1ZXN0OTA0OTcwOQ== | 5,194 | BUG: Bug in comparing duplicate frames (GH4421) related | {
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related to #4421
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https://api.github.com/repos/pandas-dev/pandas/issues/5195 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5195/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5195/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5195/events | https://github.com/pandas-dev/pandas/issues/5195 | 20,917,787 | MDU6SXNzdWUyMDkxNzc4Nw== | 5,195 | pd.to_datetime ValueError or TypeError | {
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"followers_url": "https://api.github.com/users/wesm... | 5 | 2013-10-12T21:39:54Z | 2013-10-12T23:53:46Z | 2013-10-12T23:53:46Z | NONE | null | Hi,
I am using pandas 0.12.0 and numpy 1.7.1.
Not sure if this is the expected functionality or not. I thought if coerce = True or errors='ignore' I wouldn't get this result:
``` python
In [372]: td = pd.Series(['May 04', 'Jun 02', 'Dec 11'], index=[1,2,3])
In [373]: td.apply(pd.to_datetime, format='%b %y', errors... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5196 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5196/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5196/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5196/events | https://github.com/pandas-dev/pandas/issues/5196 | 20,918,216 | MDU6SXNzdWUyMDkxODIxNg== | 5,196 | BUG/ENH: Passing explicit dtype should delegate to appropriate Index subclass (if available) | {
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"followers_url": "https://api.github.com/users/jr... | 2 | 2013-10-12T22:10:46Z | 2015-09-11T14:28:24Z | 2015-09-11T14:28:23Z | CONTRIBUTOR | null | e.g. here's wrong behavior on current master
``` python
In [1]: import pandas as pd
In [2]: ind = pd.Index([1, 2, 3], dtype='int64')
In [3]: ind
Out[3]: Index([1, 2, 3], dtype='object')
```
Problem is ordering of how passed dtypes work in Index constructor. Make sure this gets fixed in 0.14.
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https://api.github.com/repos/pandas-dev/pandas/issues/5197 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5197/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5197/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5197/events | https://github.com/pandas-dev/pandas/pull/5197 | 20,918,261 | MDExOlB1bGxSZXF1ZXN0OTA1MDAzMw== | 5,197 | BUG: Bug in to_datetime with a format and coerce=True not raising (GH5195) | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5198/events | https://github.com/pandas-dev/pandas/issues/5198 | 20,918,345 | MDU6SXNzdWUyMDkxODM0NQ== | 5,198 | BUG: recursion limit on eval when operating on different types | {
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"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",
"id": 526062,
"labels_url": "htt... | 3 | 2013-10-12T22:20:12Z | 2019-07-29T14:38:21Z | 2014-03-17T14:18:12Z | CONTRIBUTOR | null | Me being dumb discovered this:
``` python
In [209]: bug = pd.DataFrame({"A": [1, 2], 'B': ['c', 'd']})
In [210]: bug
Out[210]:
A B
0 1 c
1 2 d
In [211]: bug.eval('A + B')
# stack trace truncated ...
RuntimeError: maximum recursion depth exceeded
```
cc @cpcloud
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https://api.github.com/repos/pandas-dev/pandas/issues/5199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5199/events | https://github.com/pandas-dev/pandas/pull/5199 | 20,918,409 | MDExOlB1bGxSZXF1ZXN0OTA1MDA5NQ== | 5,199 | ENH/API: Accept DataFrame for isin | {
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"followers_url": "https://api.github.com/users/wesm... | 26 | 2013-10-12T22:26:09Z | 2017-04-05T02:05:43Z | 2013-10-17T20:49:58Z | CONTRIBUTOR | null | API: Series should respect index labels. This would be incompatible, but there hasn't been any official release since `isin` was merged.
Will close #4421. Still a WIP for now. Needs more testing.
Thoughts on adding an argument to ignore the index? i.e.
``` python
In [150]: df = pd.DataFrame({'A': [1, 2, 3, 4], 'B':... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5200/events | https://github.com/pandas-dev/pandas/issues/5200 | 20,918,684 | MDU6SXNzdWUyMDkxODY4NA== | 5,200 | pd.date_range Attribute_Error | {
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I'm trying to calculate the number of business days between two columns of dates. Not all rows have valid dates though, and pd.date_range does not have an ignore errors option, so I'm getting this error:
``` python
In [439]: td = pd.DataFrame({'a':[pd.Timestamp('2010-1-1'), pd.... | {
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