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https://api.github.com/repos/pandas-dev/pandas/issues/1801
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6,378,193
MDU6SXNzdWU2Mzc4MTkz
1,801
Confusing formatting after groupby
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5
2012-08-22T14:15:27Z
2014-05-29T08:18:35Z
2014-05-29T08:18:35Z
NONE
null
``` >>> import pandas as pd >>> import numpy as np >>> df = pd.DataFrame([(3,np.datetime64('2012-07-03')),(3,np.datetime64('2012-07-04'))], columns = ['a', 'date']) >>> print df a date 0 3 2012-07-03 1 3 2012-07-04 >>> print df.groupby('a').first() date a 3 2012-07-03 ...
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6,379,431
MDU6SXNzdWU2Mzc5NDMx
1,802
DatetimeIndex values returns the wrong values
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2012-08-22T14:59:57Z
2012-08-22T21:03:50Z
2012-08-22T21:03:50Z
NONE
null
When I try to use the values method for a DatetimeIndex, I get the wrong values. import pandas as pd index = pd.date_range('2000-1-1',periods=24,freq='MS') print 'Version:', pd.**version** print '\nIndex:',index print '\nValues:',index.values print '\nReal Values:',[ i for i in index] Version: 0.8.2.dev-c99d9cd Inde...
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https://api.github.com/repos/pandas-dev/pandas/issues/1803
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6,379,768
MDU6SXNzdWU2Mzc5NzY4
1,803
Can't assign to subsets of MultiIndex columns DataFrames using partial labels
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0
2012-08-22T15:12:03Z
2012-12-02T02:13:09Z
2012-12-02T02:13:09Z
NONE
null
Assigning a value (scalar or Series) to the subset of a dataframe with MultiIndex columns addressed by a partial label doesn't work. ``` df = pandas.DataFrame(index=[1, 3, 5], columns=pandas.MultiIndex.from_tuples([('A', '1'), ('A', '2'), ('B', '1')])) df['A'] = 0.0 # Doesn't work df['A'] = df['B', '1'] # Works, but a...
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https://api.github.com/repos/pandas-dev/pandas/issues/1804
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https://github.com/pandas-dev/pandas/pull/1804
6,383,399
MDExOlB1bGxSZXF1ZXN0MjEyOTA2Nw==
1,804
Fix tostring unicode
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1
2012-08-22T17:24:27Z
2014-07-17T13:49:12Z
2012-09-09T01:18:30Z
CONTRIBUTOR
null
I'm not sure if this is perfect (or where else things like this might come up), but this fixes the failing test I added and the rest of the test suite passes. The issue arises when you give a string containing non-ascii characters. You have to decode to unicode (which I force to be utf-8...). I don't know the Python 3 ...
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https://api.github.com/repos/pandas-dev/pandas/issues/1805
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6,413,714
MDU6SXNzdWU2NDEzNzE0
1,805
Include .c files in repo.
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7
2012-08-23T17:01:24Z
2012-09-08T02:29:14Z
2012-09-08T02:28:47Z
CONTRIBUTOR
null
`pip install git+https://github.com/pydata/pandas.git` does currently not work because the .pyx files are not being cythonized (not sure why). An easy fix is to include .c files in the git repo which should make it easier for people to deploy. I used a simple try: import cython in setup.py that cythonizes if cython i...
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https://api.github.com/repos/pandas-dev/pandas/issues/1806
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6,416,112
MDExOlB1bGxSZXF1ZXN0MjE0NTU0Mg==
1,806
undo dumb setuptools bug clobbering .pyx sources back to .c
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1
2012-08-23T18:41:37Z
2014-08-16T08:35:40Z
2012-09-08T02:29:05Z
CONTRIBUTOR
null
setuptools (not distribute) will replace '.pyx' extensions with '.c' if _pyrex_ is not importable. This checks if that happened, and reverses it if so. closes #1805
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6,418,582
MDU6SXNzdWU2NDE4NTgy
1,807
Sort broken after unique -> Series with object array
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4
2012-08-23T20:25:06Z
2012-09-04T02:17:27Z
2012-09-04T02:16:37Z
CONTRIBUTOR
null
I have no idea why this fails. ``` pandas.Series(pandas.Series(["a","c","b"]).unique()).sort() ``` but this doesn't ``` pandas.Series(np.array(["a", "c", "b"], dtype=object)).sort() ```
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6,450,484
MDU6SXNzdWU2NDUwNDg0
1,808
Handling of lambda functions in list for resample
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2012-08-25T11:51:17Z
2012-09-09T18:25:19Z
2012-09-09T18:25:19Z
MEMBER
null
DataFrame bad column name reported by user
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6,453,816
MDU6SXNzdWU2NDUzODE2
1,809
groupby().last() drops columns
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5
2012-08-25T19:06:50Z
2017-09-07T19:25:59Z
2012-09-20T03:12:48Z
NONE
null
DataFrame.groupby().last() gives incorrect result in the following case (pandas version: 0.8.1): ``` df1 = DataFrame({"A": [1, 1], "B": [1, 1], "C": ["x", "y"]}) print df1.groupby("A").last() # B # A #1 1 ``` The integer column B is handled correctly, but the string column C is dropped. The result is correct i...
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6,453,879
MDU6SXNzdWU2NDUzODc5
1,810
Index.asof returns different types
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1
2012-08-25T19:15:35Z
2012-09-18T02:46:30Z
2012-09-18T02:46:30Z
CONTRIBUTOR
null
depending on whether the date exists or not: In [42]: idx.asof(datetime(2008, 5, 2)) Out[42]: datetime.datetime(2008, 5, 2, 0, 0) In [43]: idx.asof(datetime(2008, 5, 3)) Out[43]: <Timestamp: 2008-05-02 00:00:00>
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MDU6SXNzdWU2NDU0OTk0
1,811
aggregate by time
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1
2012-08-25T22:17:03Z
2014-05-29T17:38:38Z
2014-05-29T17:38:38Z
NONE
null
I wrote a function to aggregate data by time, for instance to get average profiles over a day or week if you have a yearly timeseries. It's nothing highly complicated, most of the functionality is already in pandas. But as I could not figure out how to do it with the current API in a single line, I thought this func...
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6,457,466
MDU6SXNzdWU2NDU3NDY2
1,812
availability of nanosecond periods in DatetimeIndex
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2
2012-08-26T09:08:20Z
2013-09-30T19:43:55Z
2013-09-30T19:43:55Z
CONTRIBUTOR
null
Hi there, when trying to create a DatetimeIndex for data sampled in the nanosecond range ``` python pd.DatetimeIndex(start=pd.Timestamp('2012-12-01'), periods=10, freq=pd.offsets.Nano(2800)) ``` there appears an error due to an uninitialized timestamp. Inside the pandas code python datetime objects seem to be used ...
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https://api.github.com/repos/pandas-dev/pandas/issues/1813
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6,457,993
MDU6SXNzdWU2NDU3OTkz
1,813
Allow duplicate keys in set_index()
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1
2012-08-26T11:08:30Z
2012-09-03T23:35:07Z
2012-09-03T23:35:07Z
NONE
null
The set_index() method for a DataFrame checks for indices with duplicate keys, even though Pandas (version 0.7.0) is now supposed to allow duplicate keys. For example: ``` from pandas import * x = [0, 0] print DataFrame(dict(a=x, b=x), index=x) print DataFrame(dict(a=x, b=x), index=x).set_index('a') ``` fails with ...
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6,459,430
MDU6SXNzdWU2NDU5NDMw
1,814
bool dataframe: df.shift fill rows with True instead of NaN like series.shift
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0
2012-08-26T15:27:20Z
2012-09-10T20:27:30Z
2012-09-10T20:27:30Z
CONTRIBUTOR
null
``` import pandas as pd df = pd.DataFrame({'high':[True, False], 'low':[False, False]}) df.shift(1) # high low #0 True True #1 True False ``` series.shift works as expected.
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6,465,425
MDU6SXNzdWU2NDY1NDI1
1,815
concat() drops index when used on series with a PeriodIndex
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1
2012-08-27T02:57:38Z
2012-09-10T23:06:39Z
2012-09-10T23:06:27Z
NONE
null
New to this, sorry if I'm just missing something... ``` python import numpy as np import pandas as pd d1 = pd.date_range('12/31/1990', '12/31/1999', freq='A-DEC') d2 = pd.date_range('12/31/2000', '12/31/2009', freq='A-DEC') s1 = pd.Series(np.random.randn(10), d1) s2 = pd.Series(np.random.randn(10), d2) # works pd.c...
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6,470,470
MDU6SXNzdWU2NDcwNDcw
1,816
read_csv(parse_dates=True) failure
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6
2012-08-27T10:18:50Z
2015-06-22T18:55:08Z
2012-09-10T16:19:16Z
CONTRIBUTOR
null
from [stackoverflow](http://stackoverflow.com/questions/12138126/difference-between-parse-date-0-and-parse-date-true-in-pandas-read-csv) ``` python import pandas as pd from StringIO import StringIO data = "date,c1\n2012-07-31 02:00,1.1\n2012-07-31 02:15,2.2\n2012-07-31 02:30,3.3\n" df1 = pd.read_csv(StringIO(data),p...
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6,473,041
MDU6SXNzdWU2NDczMDQx
1,817
Can't select columns in dataframe anymore
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2
2012-08-27T13:03:40Z
2012-08-28T07:52:03Z
2012-08-28T07:52:03Z
NONE
null
Since I updated my pandas lib, I can't do this anymore ``` db = pandas.HDFStore(path) df = db.get('x') df = df[['a', 'b', 'c']] ``` It throw me Exception('Reindexing only valid with uniquely valued Index objects',) Mrknacky
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6,482,198
MDU6SXNzdWU2NDgyMTk4
1,818
Raise more helpfull exception on s.plot, df.plot ... without numerical data
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2
2012-08-27T19:24:22Z
2013-12-04T00:57:58Z
2013-05-21T21:01:11Z
CONTRIBUTOR
null
``` python In [23]: df1 = pandas.DataFrame(list('abcd')) In [24]: df1.plot() --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) ... AttributeError: 'numpy.ndarray' object has no attribute 'find' ```
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6,500,368
MDU6SXNzdWU2NTAwMzY4
1,819
MySQLdb driver returns tuple instead of list and Pandas isn't happy about it
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2012-08-28T14:35:35Z
2012-08-29T12:21:05Z
2012-08-28T20:13:10Z
NONE
null
The MySQLdb driver returns rows as tuples instead of lists and Pandas isn't happy about it: > > > sql.read_frame("select token,status FROM purchases WHERE purchases.created_at > '2012-08-26 00:00:00' ", conn) > > > Traceback (most recent call last): > > > File "<stdin>", line 1, in <module> > > > File "C:\Python27...
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6,503,483
MDU6SXNzdWU2NTAzNDgz
1,820
Unstacking boolean DataFrame fills 'True' for missing values
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1
2012-08-28T16:25:00Z
2012-09-10T19:59:55Z
2012-09-10T19:59:55Z
NONE
null
Is this a bug? If this is intentional, it is pretty dangerous to fill missing values with `True`. ``` >>> df = pd.DataFrame([False, False], index=pd.MultiIndex.from_arrays([['a', 'b'], ['c', 'l']]), columns=['col']) >>> df col a c False b l False >>> df.unstack() col c l a False True b ...
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6,509,487
MDU6SXNzdWU2NTA5NDg3
1,821
DatetimeIndex, df.ix[date] and df.ix[[date]] failure
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1
2012-08-28T20:28:40Z
2012-09-18T21:09:31Z
2012-09-18T21:09:23Z
CONTRIBUTOR
null
from [stackoverflow](http://stackoverflow.com/questions/11991627/selecting-a-subset-of-a-pandas-dataframe-indexed-by-datetimeindex-with-a-list-of) The original frame can not be shared, but following code reproduces the issue. ``` python import pandas import numpy as np import datetime # create large list of non peri...
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6,537,203
MDU6SXNzdWU2NTM3MjAz
1,822
Long variable names table formatting in ols
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2
2012-08-29T20:03:30Z
2016-02-23T00:57:55Z
2016-02-23T00:57:55Z
MEMBER
null
``` Running pd.ols from pandas 0.8.1, I get misaligned output when some of my variable names are long. For example: [...] -----------------------Summary of Estimated Coefficients------------------------ Variable Coef Std Err t-stat p-value CI 2.5% CI 97.5% ----------------------------------...
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6,538,933
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1,823
Panel truncate failure
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2012-08-29T21:13:23Z
2012-09-09T03:07:58Z
2012-09-09T03:07:58Z
MEMBER
null
user reported this error (may be for all panels) ``` panel.truncate(before=None, after=None, axis=’items’).fillna(value=0.0) will fail with an AssertionError The failure path is pretty narrow. If ‘before’ or ‘after’ is binding, it won’t fail. If the axis is ‘major’ or ‘minor’ it won’t fail. If fillna method is ‘pa...
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1,824
HDFStore format of very long DataFrames
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2012-08-29T22:37:44Z
2012-09-09T01:04:55Z
2012-09-09T01:04:55Z
MEMBER
null
http://stackoverflow.com/questions/12053003/pandas-pytables-warnings-and-slow-performance
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6,542,007
MDU6SXNzdWU2NTQyMDA3
1,825
Test datetime64 conversion in from_records error
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2012-08-30T00:02:04Z
2012-09-10T22:36:39Z
2012-09-10T22:36:39Z
MEMBER
null
http://stackoverflow.com/questions/11945897/python-pandas-0-81-dataframe-from-records-convert-django-datetime-to-datetime
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6,542,945
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1,826
Better error message in Panel.__setitem__ for TypeError
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2012-08-30T01:14:01Z
2012-09-09T03:40:45Z
2012-09-09T03:40:45Z
MEMBER
null
`else` case never handled; can least to unboundlocalerror
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6,560,434
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1,827
WEB DOC: 'Not Interpolated' and 'Interpolated' plots on http://pandas.pydata.org/pandas-docs/stable/missing_data.html
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1
2012-08-30T18:01:58Z
2012-08-30T21:04:44Z
2012-08-30T21:04:44Z
CONTRIBUTOR
null
The 'Not Interpolated' and 'Interpolated' plots on http://pandas.pydata.org/pandas-docs/stable/missing_data.html appear identical. Suspect that the 'Not Interpolated' should have gaps?
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6,561,447
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1,828
to_excel() fails if unicode sheet name is used
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5
2012-08-30T18:44:07Z
2016-10-12T23:03:10Z
2012-09-13T01:50:47Z
CONTRIBUTOR
null
Like the subject says, the check in DataFrame.to_excel() checks for an instance of str, rather than basestring, hence unicode names skip the if check and are treated like files, which causes an exception later on in the code. Changing isistance() to check for basestring rather than str fixes the issue.
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1,829
Add args/kwds arguments to Series.apply(), like for DataFrame.apply()
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6,571,499
MDU6SXNzdWU2NTcxNDk5
1,830
Period Indexing Bug
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2012-08-31T05:32:59Z
2012-09-10T12:49:00Z
2012-09-10T12:49:00Z
CONTRIBUTOR
null
From mailing list: In [82]: df Out[82]: data 1971 2 1972 3 1973 4 In [83]: df.ix[Period(1971)] Out[83]: data 3 Name: 1972
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6,582,357
MDU6SXNzdWU2NTgyMzU3
1,831
set_index drops data in the presence of duplicates when inplace=True and verify_integrity=True
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0
2012-08-31T15:52:45Z
2012-09-10T17:48:43Z
2012-09-10T17:48:43Z
CONTRIBUTOR
null
When calling set_index on an index with duplicates, the verify_integrity=True option correctly identifies the duplicates but this check appears to take place after the original columns have already been dropped when inplace=True is also passed. This results in data being lost. I believe it would be better if the origi...
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https://api.github.com/repos/pandas-dev/pandas/issues/1832
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6,603,563
MDExOlB1bGxSZXF1ZXN0MjIyNzEwNA==
1,832
print exception when importing pandas.lib
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1
2012-09-02T16:03:16Z
2014-07-22T20:27:46Z
2012-09-08T02:42:04Z
NONE
null
I was trying to install pandas and kept getting the error: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Library/Python/2.7/site-packages/pandas/**init**.py", line 16, in <module> raise ImportError('C extensions not built: if you installed already ' ImportError: C extensions not...
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https://api.github.com/repos/pandas-dev/pandas/issues/1833
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6,613,588
MDU6SXNzdWU2NjEzNTg4
1,833
Bug in DataFrame.duplicated() when dealing with datetime64
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1
2012-09-03T11:07:26Z
2013-12-04T00:47:26Z
2012-09-09T01:33:37Z
CONTRIBUTOR
null
The following looks like a bug to me as DataFrame.duplicated() gives different results on what should be identical inputs. To me it looks like the problem is with the datetime64 values because if you look at the output of `dates.values` it's clear that the last 4 values are duplicates. Please see the code below that r...
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https://api.github.com/repos/pandas-dev/pandas/issues/1834
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6,621,037
MDExOlB1bGxSZXF1ZXN0MjIzMzkyMg==
1,834
fixed row/col orientation for 2D arrays
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5
2012-09-03T18:55:21Z
2014-06-13T02:22:47Z
2012-09-09T01:03:04Z
CONTRIBUTOR
null
Pytables uses the opposite convention to pandas for row/col. Using the numpy transpose .T corrects for this without copying the data and keeping the orientation of 1D arrays intact.
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https://api.github.com/repos/pandas-dev/pandas/issues/1835
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6,621,496
MDU6SXNzdWU2NjIxNDk2
1,835
read_csv fails when both converts and index_col are used on the same column
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1
2012-09-03T19:39:24Z
2016-10-12T23:03:10Z
2012-09-10T22:00:10Z
CONTRIBUTOR
null
``` python In [473]: d = """\ A;B 1;2 3;4 """ In [474]: pandas.read_csv(StringIO(d), sep=';', converters={'A': lambda x: x}, index_col='A') --------------------------------------------------------------------------- KeyError Traceback (most recent call last) <ipython-input-474-6bc08702...
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https://api.github.com/repos/pandas-dev/pandas/issues/1836
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6,628,710
MDU6SXNzdWU2NjI4NzEw
1,836
Define column-wise na/default value for merge operations.
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2
2012-09-04T08:21:41Z
2016-12-28T11:24:36Z
2016-12-28T11:24:36Z
NONE
null
I find myself often using fillna on a lot of columns after a merge operation and having to cast columns back to their original dtype. Pseudo code now data_types = df.dtypes df_new = merge(df, df_other) for col in former_int64_columns: df_new[col] = df_new[col].fillna(0).astype(np.int64) in some cases I may want ...
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6,634,913
MDExOlB1bGxSZXF1ZXN0MjIzOTUzNw==
1,837
Tiny str() fix, pandas/stats/ols.py
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1
2012-09-04T13:43:34Z
2014-06-14T08:07:32Z
2012-09-08T02:40:35Z
CONTRIBUTOR
null
Fix for unexpected behaviour (TypeError: not all arguments converted during string formatting) if c is a tuple, as it can be when having collapsed the multiindex columns like df_with_tuple_columns = df_with_multiindex.columns.tolist()
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6,636,196
MDU6SXNzdWU2NjM2MTk2
1,838
Adding an offset to a timezone-aware DatetimeIndex shifts the times
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0
2012-09-04T14:34:49Z
2016-10-12T23:03:10Z
2012-09-19T02:18:53Z
NONE
null
For example: > > > dr = pandas.date_range('03/06/2012 00:00', periods=25, freq='W-FRI', tz='US/Eastern') > > > <class 'pandas.tseries.index.DatetimeIndex'> > > > [2012-03-09 00:00:00, ..., 2012-08-24 00:00:00] > > > Length: 25, Freq: W-FRI, Timezone: US/Eastern > > > > > > dr + pandas.datetools.BDay() > > > <class 'p...
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6,636,306
MDU6SXNzdWU2NjM2MzA2
1,839
Weekly anchored frequency offsets don't behave as expected
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2012-09-04T14:38:57Z
2016-10-12T23:03:10Z
2012-11-28T18:39:21Z
NONE
null
For example: > > > period_index = pandas.period_range('2012/6/3', periods=10, freq='W-FRI') > > > <class 'pandas.tseries.period.PeriodIndex'> > > > freq: W-FRI > > > [02-Jun-2012/08-Jun-2012, ..., 04-Aug-2012/10-Aug-2012] > > > length: 10 Although the frequency is "W-FRI", the start dates listed (02-Jun-2012, ..., 04...
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MDU6SXNzdWU2NjQyNDQ3
1,840
pandas.rolling_std() gives nans where it probably shouldn't
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2012-09-04T18:35:53Z
2012-09-07T18:47:49Z
2012-09-07T18:47:41Z
CONTRIBUTOR
null
The output differs from bottleneck, which also gives nans, but fewer. The Factor version never outputs nans and otherwise matches the pandas version. https://gist.github.com/3624548
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6,647,058
MDU6SXNzdWU2NjQ3MDU4
1,841
ewma docs don't explain time_rule
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0
2012-09-04T21:42:29Z
2012-09-08T02:36:27Z
2012-09-08T02:36:27Z
CONTRIBUTOR
null
Not much else to say--should add an explanation in `_ewm_doc`. ``` def ewma(arg, com=None, span=None, min_periods=0, freq=None, time_rule=None, ```
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df.plot(x=..., y=...) fails for mixed-integer column names
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6
2012-09-05T08:00:07Z
2012-09-10T19:52:55Z
2012-09-10T19:52:55Z
CONTRIBUTOR
null
``` python In [187]: df = pandas.DataFrame(np.random.randn(100,3),columns=['A', 'B', 0]) In [188]: df.head() Out[188]: A B 0 0 0.699932 -1.090587 1.014325 1 -0.148856 -0.994177 -1.107741 2 1.384710 0.107488 1.108757 3 -0.795969 -1.297598 -0.268348 4 -0.247695 -0.627048 0.010415 In [18...
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1,843
ExcelFile(...).parse(skiprows=...) fails for rows at the end of the sheet
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1
2012-09-05T08:30:11Z
2012-09-25T18:40:55Z
2012-09-18T15:10:45Z
CONTRIBUTOR
null
from [mailinglist](https://groups.google.com/forum/?fromgroups=#!searchin/pydata/richard$20stanton/pydata/z1BNtywmc80/qzgG2pUrsk8J) (tried it myself on master also) I've been using the ExcelFile function to read in a dataset that has some lines of text above and below the numbers I'm interested in. The option skiprow...
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1,844
API design discussion
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5
2012-09-05T16:51:32Z
2015-01-17T18:00:08Z
2015-01-17T18:00:08Z
NONE
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kk=DataFrame({'a':[1,0,3,5],'b':[2,4,6,8]}) kk['c']=kk.b/kk.a > > > kk > > > a b c > > > 0 1 2 2 > > > 1 0 4 0 > > > 2 3 6 2 > > > 3 5 8 1 Two issues: (1) I don't think kk[1,'c']=0 is a suitable answer (2) I don't think kk[3,'c']=1 is a suitable answer, it should be 1.6 while kk['c']=1.0*kk.b/kk....
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1,845
Update pandas/__init__.py
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4
2012-09-06T06:17:59Z
2014-06-14T01:51:07Z
2012-09-08T02:20:08Z
NONE
null
Removed try/except around import pandas.lib The try/except hid a dateutil import error.
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6,680,389
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1,846
A bug of Pandas DataFrame.plot or xticks
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4
2012-09-06T06:18:48Z
2017-08-02T10:44:23Z
2012-09-06T06:58:53Z
NONE
null
I am using Pandas to develop a financial report analysis tool . And I find a bug related to xticks setting. In general, I define a multilevel dataframe 'df' , draw a bar plot, and try to reset the default xtick value, and find the xtick mismatch with the bar, the position shift to left side . Pls check the attach t...
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6,687,053
MDU6SXNzdWU2Njg3MDUz
1,847
DatetimeIndex gives strange answer when trying to find intervals
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4
2012-09-06T12:55:36Z
2014-02-18T22:19:10Z
2014-02-18T22:19:10Z
CONTRIBUTOR
null
The following is strange to me: ``` >>> import datetime >>> import pandas >>> dates = [datetime.datetime(2012, 5, 1), datetime.datetime(2012, 5, 2), datetime.datetime(2012, 5, 3)] >>> index = pandas.DatetimeIndex(dates) >>> index[1:] - index[:-1] <class 'pandas.tseries.index.DatetimeIndex'> [2012-05-03 00:00:0...
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1,848
lib.infer_dtype_list(MultiIndex) crashes python
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2012-09-06T14:47:53Z
2014-03-05T15:18:23Z
2012-09-09T03:17:31Z
CONTRIBUTOR
null
If lib.infer_dtype_list is called with a MultiIndex, it crashes python (on OS X 10.7 at least) This crash occurs when writing a dataframe with a multiindex to a pytables table (_write_table)
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1,849
merge or join fails if the left input dataframe contains a column of float32
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2012-09-06T20:47:11Z
2016-10-12T23:03:11Z
2012-09-10T22:22:29Z
NONE
null
A merge or join involving a left DataFrame that has single precision floats will fail. Seems to be OK if the right dataframe has float32; these get cast to float64 (which they probably shouldn't be) ``` python import numpy as np import pandas a = np.random.randint(0, 5, 100) df = pandas.DataFrame({'a': a}) s = pandas...
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pandas.rolling_apply: "Out of bounds on buffer access"
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1
2012-09-06T23:02:13Z
2012-09-08T02:34:55Z
2012-09-08T02:34:47Z
NONE
null
Looks like `pandas.rolling_apply` doesn't like a window larger than the length of the array: ``` In [3]: import pandas In [4]: import numpy as np In [5]: a = np.array(range(4)) In [6]: pandas.rolling_sum(a, 10) Out[6]: array([ nan, nan, nan, nan]) In [7]: pandas.rolling_apply(a, 10, np.sum) --------------------...
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6,712,776
MDU6SXNzdWU2NzEyNzc2
1,851
python-dateutils < 2 requirement for python 2. Is it necessary?
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1
2012-09-07T12:24:09Z
2012-09-08T02:13:31Z
2012-09-08T02:13:31Z
NONE
null
The most recent version (2.1) supports both 2.x and 3.x. Pandas works for me using version 2.1: ``` (VENV)[~/ng] $ nosetests pandas ... ... ---------------------------------------------------------------------- Ran 2228 tests in 112.553s OK (SKIP=45) (VENV)[~/ng] $ python -c "import dateutil; print dateutil.__versio...
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6,713,640
MDU6SXNzdWU2NzEzNjQw
1,852
Test long string formatting in to_string and to_html
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12
2012-09-07T13:11:08Z
2018-07-06T22:02:41Z
2018-07-06T22:02:05Z
NONE
null
Start with a data frame -- large-ish number of rows ``` df = DataFrame({'a':['a1']*100+['a2']*100, 'b':['b']*200}) dfg = df.groupby(['a']) dfg.aggregate(len) ## this gives right answer, every entry is of length 100 dfg.aggregate(lambda x: ', '.join(x.values)) ## this is wrong, the output string is somehow truncated? `...
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6,714,268
MDU6SXNzdWU2NzE0MjY4
1,853
Add ability to estimate full covariance matrices a la ewmcov/rolling_cov
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2012-09-07T13:41:04Z
2014-03-28T14:47:49Z
2014-03-28T14:47:49Z
MEMBER
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6,714,509
MDU6SXNzdWU2NzE0NTA5
1,854
indicate __repr__ truncation by ...
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0
2012-09-07T13:53:20Z
2012-09-15T17:20:59Z
2012-09-15T17:20:41Z
CONTRIBUTOR
null
When a column is wider than 50 chars (controllable by `pandas.setprintoptions(max_colwidth=...)`) it is truncated in the `__repr__`, indicate this by adding `...` at the end of the truncated strings. see also #1852
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6,723,376
MDU6SXNzdWU2NzIzMzc2
1,855
Problems converting a large file to a panel using read_csv
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1
2012-09-07T20:19:52Z
2013-09-21T13:51:39Z
2013-09-21T13:51:39Z
MEMBER
null
Bug? x-reference from SO http://stackoverflow.com/questions/12085393/problems-converting-a-large-file-to-a-panel-using-read-csv-into-python-pandas
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6,723,552
MDU6SXNzdWU2NzIzNTUy
1,856
Enable DataFrame to accept scalar constructor values like Series
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2012-09-07T20:27:49Z
2012-11-19T01:43:20Z
2012-11-19T01:43:20Z
MEMBER
null
e.g. ``` df = DataFrame(val,index=[1,2,3],columns=['a','b','c']) ```
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6,723,984
MDU6SXNzdWU2NzIzOTg0
1,857
Period.start_time returns the same value as Period.end_time
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0
2012-09-07T20:46:20Z
2016-10-12T23:03:11Z
2012-09-10T21:57:01Z
NONE
null
If you create a Period object with a non-Day frequency, the start_time property incorrectly returns the end_time value. ex: ``` python In [1]: from pandas import * In [2]: w = period_range('2012-8-20', '2012-9-10', freq='W-MON') In [3]: w[0] Out[3]: Period('14-Aug-2012/20-Aug-2012', 'W-MON') In [4]: w[0].start_tim...
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6,725,279
MDU6SXNzdWU2NzI1Mjc5
1,858
Explicit column dtype specification in read_* functions
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2012-09-07T21:53:23Z
2012-11-28T00:26:47Z
2012-11-28T00:26:47Z
MEMBER
null
e.g. columns with values like `01001` are getting converted to int example from mailing list: ``` df = read_csv('test_data.csv') df.head() oid did mode ox oy dx dy 0 1001 1001 01 272311.659358 176751.822655 272675 176375 1 1001 1001 01 272311.659358 176751.822655...
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1,859
Series.str.split doesn't work with no arguments
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2012-09-07T22:23:57Z
2012-09-08T02:02:01Z
2012-09-08T02:02:01Z
MEMBER
null
Inconsistent with builtin string API
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6,727,621
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1,860
FDPanel, a 4 dimensional pandas container
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3
2012-09-08T00:29:40Z
2014-07-07T00:24:37Z
2012-09-18T17:41:34Z
CONTRIBUTOR
null
a FDPanel is like a Panel object, but provides 4 dimensions: labels, items, major_axis, minor_axis instead of using a dict of Panels to hold data, the FDPanel provides a convenient represenation in pandas space with named dimensions to allow easy axis swapping and slicing see examples/4D Example 2.pdf for creation an...
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6,731,102
MDU6SXNzdWU2NzMxMTAy
1,861
deprecated from pandas.stats import misc fails in 0.8.1
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0
2012-09-08T13:04:34Z
2012-09-09T01:22:33Z
2012-09-09T01:22:33Z
CONTRIBUTOR
null
I believe this is a deprecated import (I used it to access bucket_series) exists currently in master 0.9.dev as well Python 2.7.3 (default, Jun 21 2012, 07:50:29) > > > import pandas > > > print pandas.**version** > > > 0.8.1 > > > from pandas.stats import misc > > > Traceback (most recent call last): > > > File "...
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MDExOlB1bGxSZXF1ZXN0MjI4NTgxMA==
1,862
Pytables support for FDPanel
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1
2012-09-08T17:10:15Z
2014-06-19T10:31:27Z
2012-11-24T01:47:03Z
CONTRIBUTOR
null
add pytables branch to support FDPanel this is on top of my previous fdpanel branch supporting put/append/select of FDPanel to hdf5 tables (and makes selection a bit more generic, as store.select() now works). FYI - the included FDPanel definitions (eg fdpanel.py) are v1 - so merge FDPanel (v2) first Then cherry pic...
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OLS issues interacting with MultiIndex
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2012-09-08T22:47:44Z
2015-01-26T00:34:27Z
2015-01-26T00:34:27Z
MEMBER
null
x-linking: http://stackoverflow.com/questions/11586068/collapse-a-pandas-multiindex-or-run-ols-regression-on-a-multiindexed-dataframe
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1,864
API for rearranging data within a hierarchical level
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2012-09-08T22:58:45Z
2014-04-17T19:10:36Z
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MEMBER
null
x-reference for someday http://stackoverflow.com/questions/11194610/how-can-i-reorder-multi-indexed-dataframe-columns-at-a-specific-level
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1,865
Add pivot (reshape) option to handle duplicate keys (e.g. take first or last obs)
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2012-09-08T23:11:02Z
2017-01-05T18:14:01Z
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MEMBER
null
http://stackoverflow.com/questions/11232275/pandas-pivot-warning-about-repeated-entries-on-index
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Doc build bug
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2012-09-09T00:40:21Z
2012-09-10T02:39:13Z
2012-09-10T02:39:13Z
MEMBER
null
@changhiskhan there's some bug showing up in the docs but not in the main test suite. Can you have a look? ``` building [html]: targets for 22 source files that are out of date updating environment: 218 added, 0 changed, 0 removed --------------------------------------------------------------------------- TypeErro...
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Add expanding moment functions to docs.
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2012-09-09T00:50:48Z
2014-06-16T20:12:53Z
2012-09-09T01:07:37Z
CONTRIBUTOR
null
Per @wesm's request on #1785. I wasn't able to get the latex to build, but I believe that was due to a bug that's since been fixed.
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Use on_demand option in xlrd if available
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2012-09-09T02:39:50Z
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MEMBER
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xref: http://stackoverflow.com/questions/12250024/how-to-obtain-sheet-names-from-xls-files-without-loading-the-whole-file-in-pytho
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Add POSIX timestamp conversion function
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2012-09-09T02:40:30Z
2013-09-20T16:51:47Z
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MEMBER
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http://stackoverflow.com/questions/12251483/idiomatic-way-to-parse-posix-timestamps-in-pandas
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ordered_merge improvements
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2012-09-09T02:54:08Z
2016-06-17T00:09:32Z
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http://stackoverflow.com/questions/12322289/kdb-like-asof-join-for-timeseries-data-in-pandas/12336039#12336039
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MDU6SXNzdWU2NzQ5MDIy
1,871
Improve between_time to be able to select time ranges that cross midnight
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2012-09-09T19:23:39Z
2012-09-24T21:46:18Z
2012-09-24T21:46:18Z
MEMBER
null
inspired by: http://stackoverflow.com/questions/12041519/how-to-get-the-mean-of-a-specific-span-of-time
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1,872
pandas <-> R binary interface
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2012-09-09T20:15:54Z
2016-07-24T03:43:39Z
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MEMBER
null
http://stackoverflow.com/questions/12278347/how-can-i-efficiently-save-a-python-pandas-dataframe-in-hdf5-and-open-it-as-a-da
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1,873
Add inplace option to sortlevel / sort functions on DataFrame
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1,874
Improve memory usage for large heterogeneous DataFrame in sortlevel
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2012-09-09T21:12:18Z
2018-07-06T21:58:09Z
2018-07-06T21:58:05Z
MEMBER
null
http://stackoverflow.com/questions/11987270/getting-memoryerror-from-dataframe-sortlevel-in-pandas/12343023#12343023
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1,875
BUG: converters and index_col on same column
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0
2012-09-09T22:05:26Z
2014-07-09T16:39:27Z
2012-09-10T21:59:46Z
CONTRIBUTOR
null
Also minor refactor of parsers At some point we need to get rid of all the methods with side effects so the logic is clear. #1835
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1,876
Could the html documentation be provided for download
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2012-09-10T00:50:23Z
2016-10-12T23:03:11Z
2014-01-20T23:59:21Z
NONE
null
I like html documentation for offline browsing. I wonder if pandas could do the same as django or the official python documentation to provide a html tarball for download. Thank you. BTW, I have tried building the pandas html documentation from a git checkout and didn't succeed.
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1,877
Expected behavior for asi8 property?
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2
2012-09-10T00:54:25Z
2012-09-13T02:07:44Z
2012-09-11T02:41:48Z
NONE
null
Does asi8 always return int64 timestamps in UTC? I have 2 dataframes : df with index in UTC and df2 with index in US/Eastern. The timezones are correctly interpreted but when I convert them to int64, I was a little surprised to find that both are identical. Is that intentional? Thanks. In [137]: df.index Out[137]: ...
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6,751,942
MDU6SXNzdWU2NzUxOTQy
1,878
Apply Across Non-Unique Indices.
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2012-09-10T01:52:52Z
2016-10-12T23:03:11Z
2012-09-18T20:21:41Z
CONTRIBUTOR
null
Applying a function across a data-frame does not seem to work for non-unique indices. ``` df = pandas.DataFrame([[1,1,1], [2,2,2], [3,3,3]], index=['a','a','c']) df.apply(lambda s: s[0], axis=1) a 2 a 2 c 3 ``` It seems to be just returning the value for the first instance of the index.
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1,879
BUG: start_time on Period fix
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2012-09-10T02:08:28Z
2013-12-04T00:43:04Z
2012-09-10T21:57:09Z
CONTRIBUTOR
null
For A-W frequencies, get the starting DAY For H-S frequencies, get the starting SEC For B, D, and S, start == end #1857
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gcc crashed when building pandas
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2012-09-10T12:38:54Z
2015-12-19T11:03:26Z
2012-09-11T05:29:26Z
NONE
null
I experienced a gcc crash when building the latest pandas. This was on Ubuntu 12.04 gcc version 4.6, Cython 0.17. On Ubuntu 11.10 gcc version 4.6.1, Cython 0.14 I did not have the issue.
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6,761,793
MDU6SXNzdWU2NzYxNzkz
1,881
Backwards incompatibility in io/pytables with existing data prior to 0.8 causes data corruption
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1
2012-09-10T13:27:05Z
2012-09-17T18:03:53Z
2012-09-17T18:03:39Z
CONTRIBUTOR
null
trying to append to a table that was created before 0.8 (e.g. before the kind of datetime64 existed) causes corrupted data (essentially the index is converted to datetime64, but since its in nanoseconds, existing datetimes are not evaluated correctly). easiest to convert existing data (read in and just write it out), s...
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6,765,864
MDExOlB1bGxSZXF1ZXN0MjI5NTEyNA==
1,882
BUG: mixed float64 float32 merge failure
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1
2012-09-10T16:15:45Z
2013-12-04T00:43:03Z
2012-09-10T21:53:14Z
CONTRIBUTOR
null
Now maps FloatBlock type to list of blocks in each join unit. Also checks for out type in merge blocks, otherwise if float32 block appears first then merge fails #1849
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6,766,350
MDU6SXNzdWU2NzY2MzUw
1,883
Series or DataFrame asof() fails when the index is a PeriodIndex and the value is a datetime or Timestamp
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2012-09-10T16:33:44Z
2016-10-12T23:03:11Z
2012-09-17T19:16:30Z
NONE
null
For example: > > > pi = pandas.period_range('2012/09/10', periods=10, freq='D') > > > s = pandas.TimeSeries(data=range(len(pi)), index=pi) > > > dt = pandas.Timestamp('2012/09/13') > > > > > > s[dt] > > > 3 > > > > s.asof(dt) > > TypeError: Cannot compare Timestamp with 25-May-2012
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6,769,949
MDU6SXNzdWU2NzY5OTQ5
1,884
pandas.rolling_std() first value is nan
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5
2012-09-10T18:34:27Z
2012-09-13T01:23:16Z
2012-09-13T01:22:46Z
CONTRIBUTOR
null
The window is 3, but we want a std at `min_periods=1`. The one-period standard deviation is trivially 0. ``` In [28]: pandas.rolling_std(np.array([1,2,3,4,5], dtype='double'), 3, min_periods=1) Out[28]: array([ nan, 0.70710678, 1. , 1. , 1. ]) ``` The pathological case: ``` In [29]: ...
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6,772,425
MDU6SXNzdWU2NzcyNDI1
1,885
df.set_index() fails for MultiIndex columns
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1
2012-09-10T19:43:48Z
2012-09-20T16:49:01Z
2012-09-18T02:17:42Z
CONTRIBUTOR
null
``` python In [20]: columns = pandas.MultiIndex.from_tuples([('foo', 1), ('foo', 2), ('bar', 1)]) In [21]: df = pandas.DataFrame(np.random.randint(0, 10, (3,3)), columns=columns) In [22]: df Out[22]: foo bar 1 2 1 0 0 5 0 1 5 6 6 2 5 1 6 In [23]: df.set_index(df.columns[0]) ----...
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6,773,580
MDU6SXNzdWU2NzczNTgw
1,886
pytables - optimized delete operation on a table
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1
2012-09-10T20:27:32Z
2012-09-10T21:00:09Z
2012-09-10T20:59:39Z
CONTRIBUTOR
null
following code allows consecutive delete operations to use native tables methods and consequently is much more effecient that individual row deletes. existing tests still pass. #### replace HDFStore._delete_from_table with the following ``` def _delete_from_table(self, group, where = None): table = getattr(group, ...
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6,773,972
MDU6SXNzdWU2NzczOTcy
1,887
Series repr issue (numpy.int64)
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1
2012-09-10T20:42:21Z
2012-09-10T22:09:42Z
2012-09-10T22:09:37Z
CONTRIBUTOR
null
``` python In [18]: df = pandas.DataFrame(np.random.randn(4,4)) In [19]: s = df.ix[3] In [20]: type(s.name) Out[20]: numpy.int64 In [21]: s Out[21]: --------------------------------------------------------------------------- TypeError Traceback (most recent call last) ... TypeError: '...
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6,774,916
MDU6SXNzdWU2Nzc0OTE2
1,888
panel ix change in 0.8?
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1
2012-09-10T21:22:38Z
2012-09-17T20:23:33Z
2012-09-17T20:23:06Z
CONTRIBUTOR
null
seems p.ix[:,[-1],:] throws an exception (from take) p.ix[:,-1:,:] is the workaround maybe add to the docs? ipython session follows: 9/10/12 panel test ix change ``` 1/2 In [7]: In [2]: Out[2]: <class 'pandas.core.panel.Panel'> Dimensions: 2 (items) x 8 (major) x 4 (minor) Items: Item1 to Item2 Major axis: 2000-01-01...
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6,779,178
MDU6SXNzdWU2Nzc5MTc4
1,889
Add a DataFrame.show() method pls!
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14
2012-09-11T01:38:17Z
2016-04-09T23:09:19Z
2016-04-09T23:09:18Z
NONE
null
'print df' will give something like below if the dataframe 'df' is big to fit into the screen : <class 'pandas.core.frame.DataFrame'> MultiIndex: 41955 entries, (u'000002', u'20061231') to (u'603366', u'20120630') Columns: 147 entries, STK_ID to EPS dtypes: float64(135), object(12) But most of the time, I want to hav...
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6,788,535
MDU6SXNzdWU2Nzg4NTM1
1,890
`TimeSeries.plot` ignores `color` kwarg
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6
2012-09-11T11:49:09Z
2012-10-31T20:21:18Z
2012-10-31T20:21:18Z
CONTRIBUTOR
null
I know this looks like a duplicate of #1636, but even with pandas 0.8.1, I don't get the expected plotting behaviour: ``` In [1]: from numpy import arange In [2]: import matplotlib.pyplot as plt In [3]: import pandas In [4]: pandas.__version__ Out[4]: '0.8.1' In [5]: plt.figure() Out[5]: <matplotlib.figure.Figure ...
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1,891
read_csv utf-8 edge case with U+2028 (line separator)
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2012-09-11T13:17:59Z
2012-09-13T02:30:43Z
2012-09-13T02:30:11Z
NONE
null
I'm using Python 2.7 but this may be an issue for Python 3 as well. ``` In [6]: pd.io.parsers.read_csv('pandasproblem.csv',encoding="utf-8").shape Out[6]: (2, 2) In [7]: pd.io.parsers.read_csv('pandasproblem.csv').shape Out[7]: (1, 2) ``` Note the different shape. Contents of pandasproblem.csv: ``` Id,StringCol 71...
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1,892
limit keyword for interpolate
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2012-09-11T16:35:02Z
2017-05-23T11:10:34Z
2013-10-09T20:30:41Z
CONTRIBUTOR
null
need to also define whether limit is relative to most recent non-na or immediate next non-na based on SO discussion in http://stackoverflow.com/questions/12372899/bug-in-pandas-series-dataframe-fillna-limit
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Inplace returns self?
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2012-09-11T16:36:54Z
2013-03-31T20:37:46Z
2013-03-31T20:37:46Z
CONTRIBUTOR
null
Is there any reason that whenever I'm doing inplace=True I always get self returned? Obviously not a huge deal, but this is kind of wart-y IMO. I wouldn't expect inplace to return anything.
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1,894
Sort by column but keep index
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2012-09-11T16:53:24Z
2012-09-26T14:06:22Z
2012-09-26T14:06:22Z
CONTRIBUTOR
null
I find myself using DataFrames a lot for obvious reasons but not using the indexing magics all the time. I can get by fine with an integer index a la numpy. This leads to situations where I have to do things like this quite often ``` python df = df.drop(drop_idx) df.index = pandas.Index(range(len(df))) ``` or ``` p...
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DatetimeIndex min failure
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0
2012-09-11T16:57:31Z
2012-09-13T02:12:23Z
2012-09-13T02:12:23Z
CONTRIBUTOR
null
``` In [14]: rng = pd.date_range('2012-8-1', freq='T', periods=100) In [15]: m = rng.min() In [16]: m Out[16]: --------------------------------------------------------------------------- TypeError Traceback (most recent call last) ... c:\code\pandas\pandas\tseries\index.py in __repr__...
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Mixed type DataFrame.diff converts to object
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2012-09-11T17:17:03Z
2012-09-13T01:47:19Z
2012-09-13T01:47:19Z
CONTRIBUTOR
null
``` In [68]: df = DataFrame(np.random.randn(5, 3)) In [69]: df Out[69]: 0 1 2 0 -1.102224 0.395433 -0.112327 1 -0.025758 2.810779 -0.823856 2 1.100939 0.741825 1.016203 3 0.452166 -1.914473 1.439475 4 0.030840 -0.690666 -0.346612 In [70]: df.diff().dtypes Out[70]: 0 float64 1 f...
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6,799,268
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1,897
pandas.rolling_min/max fail if window size is larger than input array
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2012-09-11T19:23:24Z
2012-09-12T14:53:40Z
2012-09-12T14:53:40Z
CONTRIBUTOR
null
This is a regression since July 12. ``` import pandas import numpy as np pandas.rolling_max(np.arange(3), 100, min_periods=1) pandas.rolling_min(np.arange(3), 100, min_periods=1) --------------------------------------------------------------------------- ValueError Traceback (most rece...
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algorithms.unique kills python interpreter
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2012-09-11T20:40:50Z
2012-09-15T18:49:38Z
2012-09-15T18:49:38Z
CONTRIBUTOR
null
32-bit Python 2.7.3 in 64-bit Windows 7 pandas master, numpy 1.6.1 Python 2.7.3 |EPD 7.3-2 (32-bit)| (default, Apr 12 2012, 14:30:37) [MSC v.1500 32 bit (Intel)] Type "copyright", "credits" or "license" for more information. IPython 0.14.dev -- An enhanced Interactive Python. ? -> Introduction and overview o...
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BUG: fix rolling_max/min for small inputs and large windows. Add a check...
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2012-09-11T21:00:52Z
2014-06-25T07:13:13Z
2012-09-12T14:53:09Z
CONTRIBUTOR
null
... that the min_period <= window size. Fixes #1897.
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pandas.ewma doesn't handle empty inputs correctly
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2012-09-12T00:38:07Z
2012-09-17T19:14:36Z
2012-09-17T19:14:26Z
CONTRIBUTOR
null
``` In [34]: pandas.ewma(np.array([]), 3) --------------------------------------------------------------------------- IndexError Traceback (most recent call last) <ipython-input-34-dd4e4b00c97b> in <module>() ----> 1 pandas.ewma(np.array([]), 3) /usr/lib/python2.7/site-packages/pandas-0....
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