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https://api.github.com/repos/pandas-dev/pandas/issues/1 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/1/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/1/comments | https://api.github.com/repos/pandas-dev/pandas/issues/1/events | https://github.com/pandas-dev/pandas/issues/1 | 337,721 | MDU6SXNzdWUzMzc3MjE= | 1 | Enable element-wise comparison operations in DataMatrix objects | {
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"gists_url": "https://api.githu... | [] | closed | false | null | [] | null | 1 | 2010-09-29T00:45:31Z | 2014-02-11T20:40:01Z | 2011-02-19T23:13:48Z | MEMBER | null | re: pystatsmodels e-mail
hi everyone,
just getting started with pandas and i was wondering if someone could
help me out. do pandas.DataMatrix objects support per item comparison
operations?
i have a two data matrices, and i want to do something like this:
div[div > 0.5 \* price] = 0
this would work if div and pri... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/2 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/2/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/2/comments | https://api.github.com/repos/pandas-dev/pandas/issues/2/events | https://github.com/pandas-dev/pandas/issues/2 | 337,726 | MDU6SXNzdWUzMzc3MjY= | 2 | reindex_like function | {
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https://api.github.com/repos/pandas-dev/pandas/issues/3 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/3/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/3/comments | https://api.github.com/repos/pandas-dev/pandas/issues/3/events | https://github.com/pandas-dev/pandas/issues/3 | 337,728 | MDU6SXNzdWUzMzc3Mjg= | 3 | Binary operations on int DataMatrix | {
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When adding two int DataMatrix's a ValueError is raised when matrix.py attempt to fill missing values with NaN:
> > dma1 = pandas.DataMatrix([[1, 2], [3, 4]], ['a', 'b'], ['c', 'd'])
> > dma2 = pandas.DataMatrix([[1, 2], [3, 4]], ['b', 'a'], ['d', 'c'])
> > dma1 + dma2
> > <snip>
>... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/4 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/4/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/4/comments | https://api.github.com/repos/pandas-dev/pandas/issues/4/events | https://github.com/pandas-dev/pandas/issues/4 | 337,730 | MDU6SXNzdWUzMzc3MzA= | 4 | Plot keyword arguments are unused in DataFrame plot() | {
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What steps will reproduce the problem?
1. Import pandas
2. Create a sample DataFrame
3. Plot the DataFrame using a linewidth keyword argument.
What is the expected output? What do you see instead?
I expect to see the linewidth keyword argument passed through to the plotting routine.... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/5 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/5/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/5/comments | https://api.github.com/repos/pandas-dev/pandas/issues/5/events | https://github.com/pandas-dev/pandas/issues/5 | 337,736 | MDU6SXNzdWUzMzc3MzY= | 5 | Python 2.7 testing | {
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https://api.github.com/repos/pandas-dev/pandas/issues/6 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/6/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/6/comments | https://api.github.com/repos/pandas-dev/pandas/issues/6/events | https://github.com/pandas-dev/pandas/issues/6 | 337,994 | MDU6SXNzdWUzMzc5OTQ= | 6 | Fix argument inconsistency in pandas.stats.moments exp-weighted functions | {
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https://api.github.com/repos/pandas-dev/pandas/issues/7 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/7/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/7/comments | https://api.github.com/repos/pandas-dev/pandas/issues/7/events | https://github.com/pandas-dev/pandas/issues/7 | 338,909 | MDU6SXNzdWUzMzg5MDk= | 7 | DataMatrix constructor ignores dtype argument if data is a DataMatrix | {
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>>> a = DataMatrix([[1.0,2.0,3.0],[4.0,5.0,6.0]], range(2), range(3))
>>> b = DataMatrix(a, dtype=int)
>>> b.values.dtype
dtype('float64')
```
Not sure if this was a design decision or not, but it seems like the dtype of b.values should be int.
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https://api.github.com/repos/pandas-dev/pandas/issues/8 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/8/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/8/comments | https://api.github.com/repos/pandas-dev/pandas/issues/8/events | https://github.com/pandas-dev/pandas/issues/8 | 339,355 | MDU6SXNzdWUzMzkzNTU= | 8 | np.fix doesn't work | {
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In [28]: np.fix(Series([1,2,3], range(3)))
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
C:\alei1\basic_mktneutral\<ipython console> in <module>()
C:\Python26\lib\site-packages\numpy\lib\ufunclike.pyc in fix(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/9 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/9/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/9/comments | https://api.github.com/repos/pandas-dev/pandas/issues/9/events | https://github.com/pandas-dev/pandas/issues/9 | 341,577 | MDU6SXNzdWUzNDE1Nzc= | 9 | Fix pandas.io.parsers.parseExcel to be more robust / have correct handling of Excel dates | {
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https://api.github.com/repos/pandas-dev/pandas/issues/10 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/10/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/10/comments | https://api.github.com/repos/pandas-dev/pandas/issues/10/events | https://github.com/pandas-dev/pandas/issues/10 | 341,581 | MDU6SXNzdWUzNDE1ODE= | 10 | Improvements to pandas.io.pytables / unit testing | {
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https://api.github.com/repos/pandas-dev/pandas/issues/11 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/11/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/11/comments | https://api.github.com/repos/pandas-dev/pandas/issues/11/events | https://github.com/pandas-dev/pandas/issues/11 | 341,583 | MDU6SXNzdWUzNDE1ODM= | 11 | Rename {Series, DataFrame, WidePanel}.fill() to something else | {
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https://api.github.com/repos/pandas-dev/pandas/issues/12 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/12/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/12/comments | https://api.github.com/repos/pandas-dev/pandas/issues/12/events | https://github.com/pandas-dev/pandas/issues/12 | 344,725 | MDU6SXNzdWUzNDQ3MjU= | 12 | DataFrame and DataMatrix column ordering | {
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I know that one of the fundamental concepts behind the data structures is that column ordering doesn't matter. And, as long as one only uses pandas' data access/manipulation functions (eg, sum(), ewma(), etc.), this works fine. But ofte... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/13 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/13/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/13/comments | https://api.github.com/repos/pandas-dev/pandas/issues/13/events | https://github.com/pandas-dev/pandas/issues/13 | 352,369 | MDU6SXNzdWUzNTIzNjk= | 13 | Add PyTable Paths to HDFStore | {
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"closed_at": "2013-01-18T04:50:20Z",
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I not sure if this was the best way to suggest improvements, but here I go anyway :)
I really like the easy of the HDFStore (and the entire project for that matter), but I wanted the ability to store and retrieve DataFrames in Groups below the root. .i.e
```
h5 = HDFStore('test.h5')
h5['/groups/below/theroot'... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/14 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/14/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/14/comments | https://api.github.com/repos/pandas-dev/pandas/issues/14/events | https://github.com/pandas-dev/pandas/issues/14 | 356,064 | MDU6SXNzdWUzNTYwNjQ= | 14 | Make more flexible arithmetic functions in DataFrame/DataMatrix | {
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```
df.add(series, axis=0)
df.add(series, axis='index')
df.add(series, axis='columns')
```
Etc., might be useful in certain cases
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https://api.github.com/repos/pandas-dev/pandas/issues/15 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/15/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/15/comments | https://api.github.com/repos/pandas-dev/pandas/issues/15/events | https://github.com/pandas-dev/pandas/issues/15 | 358,943 | MDU6SXNzdWUzNTg5NDM= | 15 | .apply() API consistency fix | {
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```
def f(x):
return x.apply(lambda y: 2*y)
def g(x):
return x.applymap(lambda y: 2*y)
a = TimeSeries([1,2],[1,2])
b = DataMatrix({'a':a})
f(b)
g(b)
f(a)
g(a)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/16 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/16/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/16/comments | https://api.github.com/repos/pandas-dev/pandas/issues/16/events | https://github.com/pandas-dev/pandas/issues/16 | 358,947 | MDU6SXNzdWUzNTg5NDc= | 16 | Outlier detection in pandas.stats.moments functions | {
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https://api.github.com/repos/pandas-dev/pandas/issues/17 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/17/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/17/comments | https://api.github.com/repos/pandas-dev/pandas/issues/17/events | https://github.com/pandas-dev/pandas/issues/17 | 358,950 | MDU6SXNzdWUzNTg5NTA= | 17 | Better support for mixed-type data | {
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] | closed | false | null | [] | null | 1 | 2010-10-12T16:13:55Z | 2011-07-08T22:15:57Z | 2011-07-08T22:15:57Z | MEMBER | null | Across DataFrame and Wide/LongPanel classes
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https://api.github.com/repos/pandas-dev/pandas/issues/18 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/18/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/18/comments | https://api.github.com/repos/pandas-dev/pandas/issues/18/events | https://github.com/pandas-dev/pandas/issues/18 | 358,952 | MDU6SXNzdWUzNTg5NTI= | 18 | weights option may not be working in pandas.stats.ols.OLS | {
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] | closed | false | null | [] | null | 1 | 2010-10-12T16:15:10Z | 2011-12-31T16:53:33Z | 2011-09-25T05:17:23Z | MEMBER | null | Need to investigate (user notified)
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https://api.github.com/repos/pandas-dev/pandas/issues/19 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/19/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/19/comments | https://api.github.com/repos/pandas-dev/pandas/issues/19/events | https://github.com/pandas-dev/pandas/issues/19 | 376,890 | MDU6SXNzdWUzNzY4OTA= | 19 | parseCSV on result of toCSV does not preserve index type | {
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First of all, thanks very much for this very nice project. I find it extremely useful.
I ran into a very minor issue:
What steps will reproduce the problem?
1. Create a DataFrame with date objects in the index
2. Write to csv using toCSV method
3... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/20 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/20/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/20/comments | https://api.github.com/repos/pandas-dev/pandas/issues/20/events | https://github.com/pandas-dev/pandas/issues/20 | 428,564 | MDU6SXNzdWU0Mjg1NjQ= | 20 | Install 0.2beta fail on Debian Lenny / python2.5 | {
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- numpy-1.3.0 built from source
- scipy 0.8.0 built from source
- matplotlib-1.0.0 built from source
- pandas-0.2beta (note: no problems with latest github pull)
# Errors: Install 0.2beta
mpenning@Bucksnort:~/src/pandas-0.2beta$ sudo python setup.py install
running install
runnin... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/21 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/21/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/21/comments | https://api.github.com/repos/pandas-dev/pandas/issues/21/events | https://github.com/pandas-dev/pandas/issues/21 | 428,981 | MDU6SXNzdWU0Mjg5ODE= | 21 | Consistent column ordering between DataFrame and DataMatrix | {
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https://api.github.com/repos/pandas-dev/pandas/issues/22 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/22/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/22/comments | https://api.github.com/repos/pandas-dev/pandas/issues/22/events | https://github.com/pandas-dev/pandas/issues/22 | 474,160 | MDU6SXNzdWU0NzQxNjA= | 22 | numpy.dtype size changed runtime warning on XP | {
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and pandas from pandas-0.2.win32-py2.6.exe.
When I import \* from pandas I get the following warnings:
Warning (from warnings module):
File "C:\Program Files\Python26\lib\site-packages\pandas\core\index.py", line 7
from pandas.lib.tseries impo... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/23 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/23/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/23/comments | https://api.github.com/repos/pandas-dev/pandas/issues/23/events | https://github.com/pandas-dev/pandas/issues/23 | 488,026 | MDU6SXNzdWU0ODgwMjY= | 23 | numpy traceback during easy_install on Debian Lenny | {
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```
[mpenning@Bucksnort ~]$ uname -a
Linux Bucksnort... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/24 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/24/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/24/comments | https://api.github.com/repos/pandas-dev/pandas/issues/24/events | https://github.com/pandas-dev/pandas/issues/24 | 491,181 | MDU6SXNzdWU0OTExODE= | 24 | Install problems | {
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Python 2.7.1 (r271:86832, Nov 27 2010, 18:30:46) [MSC v.1500 32 bit (Intel)] on
win32
Type "help", "copyright", "credits" or "license" for more information.
> > > import pandas
> > > Traceback (most recent call last):
> > > File "<stdin>"... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/25 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/25/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/25/comments | https://api.github.com/repos/pandas-dev/pandas/issues/25/events | https://github.com/pandas-dev/pandas/issues/25 | 491,185 | MDU6SXNzdWU0OTExODU= | 25 | Souce compile errors | {
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python setup.py build --compiler=mingw32
python setup.py install
tseries.c has two errors stopping compilation
pandas\lib\src\tseries.c: In function '__Pyx_c_absf':
pandas\lib\sr... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/26 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/26/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/26/comments | https://api.github.com/repos/pandas-dev/pandas/issues/26/events | https://github.com/pandas-dev/pandas/issues/26 | 503,940 | MDU6SXNzdWU1MDM5NDA= | 26 | dtype mismatch when calling .median() | {
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```
>>> df1['b'].truncate(before=dt.date(2010,12,2),after=dt.date(2010,12,4))
2010-12-02 6
2010-12-03 7
2010-12-04 8
>>> df1['b'].truncate(before=dt.date(2010,12,2),after=dt.date(2010,12,4)).median()
Traceba... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/27 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/27/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/27/comments | https://api.github.com/repos/pandas-dev/pandas/issues/27/events | https://github.com/pandas-dev/pandas/issues/27 | 504,715 | MDU6SXNzdWU1MDQ3MTU= | 27 | Incorrect T-Stats in FamaMacBeth.py | {
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<code>
std_beta = self._results['std_beta'][i]
t_stat = self._results['std_beta'][i]
</code>
Last one should be t_stat instead of std_beta the second time.
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https://api.github.com/repos/pandas-dev/pandas/issues/28 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/28/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/28/comments | https://api.github.com/repos/pandas-dev/pandas/issues/28/events | https://github.com/pandas-dev/pandas/issues/28 | 518,963 | MDU6SXNzdWU1MTg5NjM= | 28 | what is the easiest way to plot a timeseries and dataframe? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/29 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/29/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/29/comments | https://api.github.com/repos/pandas-dev/pandas/issues/29/events | https://github.com/pandas-dev/pandas/issues/29 | 519,475 | MDU6SXNzdWU1MTk0NzU= | 29 | .asfreq() dies when the index values have tzinfo associated with them | {
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>>> # dataframe is indexed at a second granularity, using eastern time
>>> dataframe <class 'pandas.core.frame.DataFrame'>
Index: 24676 entries , 2010-10-04 00:03:49-04:00 to 2010-10-04 23:59:55-04:00
etf 10897 non-null values
etfvol ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/30 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/30/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/30/comments | https://api.github.com/repos/pandas-dev/pandas/issues/30/events | https://github.com/pandas-dev/pandas/issues/30 | 519,516 | MDU6SXNzdWU1MTk1MTY= | 30 | resource hog -> .asfreq(DateOffset(seconds=1),method='pad') | {
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>>> df2['a']
2010-12-01 00:00:00 1
2010-12-02 00:00:00 2
2010-12-03 00:00:00 3
2010-12-04 00:00:00 4
>>> df2['a'].asfreq(pn.DateOffset(seconds=1),method='pad')
## NOTE: The above one-liner runs for over 20 minutes on a 2Ghz Xeon, python 2.5.2, numpy 1.5.1,
## & pandas head from 2011-01-05. It al... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/31 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/31/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/31/comments | https://api.github.com/repos/pandas-dev/pandas/issues/31/events | https://github.com/pandas-dev/pandas/issues/31 | 523,747 | MDU6SXNzdWU1MjM3NDc= | 31 | Is there a single pdf instead of html documentation/help file? | {
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https://api.github.com/repos/pandas-dev/pandas/issues/32 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/32/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/32/comments | https://api.github.com/repos/pandas-dev/pandas/issues/32/events | https://github.com/pandas-dev/pandas/issues/32 | 535,032 | MDU6SXNzdWU1MzUwMzI= | 32 | Does pandas support piecewise/multi-period regression? | {
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I need to do piecewise or multi-period regression where the breakpoint is determined automatically by the algorithm itself. Does pandas support that? Thanks a lot.
-alex
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https://api.github.com/repos/pandas-dev/pandas/issues/33 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/33/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/33/comments | https://api.github.com/repos/pandas-dev/pandas/issues/33/events | https://github.com/pandas-dev/pandas/issues/33 | 544,195 | MDU6SXNzdWU1NDQxOTU= | 33 | NumPy >= 1.4.0 NaN-handling issues | {
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```
df1 = pandas.DataFrame({'x':[5]})
df2 = pandas.DataFrame({'x':[1]})
df1.combineAdd(df2)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/34 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/34/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/34/comments | https://api.github.com/repos/pandas-dev/pandas/issues/34/events | https://github.com/pandas-dev/pandas/issues/34 | 547,967 | MDU6SXNzdWU1NDc5Njc= | 34 | reindex(method="backfill") and periods within the last date | {
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I have a monthly average of the values:
ma_pw=pw.groupby(BMonthEnd(+1).rollforward).aggregate(np.mean)
When I do a reindex to push that average back into all of the periods for the month,
the last day's values are NaN. Here's my reindex attempt:
reindexed = ma_pw.rei... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/35 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/35/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/35/comments | https://api.github.com/repos/pandas-dev/pandas/issues/35/events | https://github.com/pandas-dev/pandas/pull/35 | 617,056 | MDExOlB1bGxSZXF1ZXN0NzgyMTc= | 35 | Added hist method and added auto_x argument to plot method. | {
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-Joon
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https://api.github.com/repos/pandas-dev/pandas/issues/36 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/36/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/36/comments | https://api.github.com/repos/pandas-dev/pandas/issues/36/events | https://github.com/pandas-dev/pandas/issues/36 | 627,626 | MDU6SXNzdWU2Mjc2MjY= | 36 | Install problems on Windows 7 | {
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I've installed the 32 bit versions of python-2.7.1 and all subsequent requirements.
pandas-0.3.0.win32-py2.7.exe does not complete. It just stops and windows claims it is not responding. The same phenomenon happened installing tables-2.2.1.win32-py2.7.exe. I'm assuming that py... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/37 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/37/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/37/comments | https://api.github.com/repos/pandas-dev/pandas/issues/37/events | https://github.com/pandas-dev/pandas/pull/37 | 649,839 | MDExOlB1bGxSZXF1ZXN0ODY2NDM= | 37 | added describe and scoreatpercentile in frame.py | {
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When I play around with a dataset I use this describe thing a lot so I thought it would be... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/38 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/38/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/38/comments | https://api.github.com/repos/pandas-dev/pandas/issues/38/events | https://github.com/pandas-dev/pandas/pull/38 | 694,930 | MDExOlB1bGxSZXF1ZXN0OTg4Mjg= | 38 | changed _pfixed in common.py to add a leading space to positive numbers | {
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https://api.github.com/repos/pandas-dev/pandas/issues/39 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/39/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/39/comments | https://api.github.com/repos/pandas-dev/pandas/issues/39/events | https://github.com/pandas-dev/pandas/issues/39 | 736,058 | MDU6SXNzdWU3MzYwNTg= | 39 | Adding variable description in DataFrame | {
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"labels_url": "htt... | 5 | 2011-04-06T00:15:26Z | 2014-03-09T15:18:34Z | 2014-03-09T15:18:34Z | NONE | null | Hi,
I think it would be great if DataFrame is able to store additional property (list of strings) which contains the description for each variable (column). And then it can be shown by themselves with variable names as well as in the output of pandas.DataFrame.info(). I think with this DataFrame will be pretty much se... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/40 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/40/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/40/comments | https://api.github.com/repos/pandas-dev/pandas/issues/40/events | https://github.com/pandas-dev/pandas/issues/40 | 835,724 | MDU6SXNzdWU4MzU3MjQ= | 40 | Create generic moving window function | {
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] | closed | false | null | [] | null | 1 | 2011-05-01T17:31:45Z | 2011-06-28T03:09:55Z | 2011-06-28T03:09:55Z | MEMBER | null | Probably no way to make more efficient than naive Python loop, but at least more convenient
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https://api.github.com/repos/pandas-dev/pandas/issues/41 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/41/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/41/comments | https://api.github.com/repos/pandas-dev/pandas/issues/41/events | https://github.com/pandas-dev/pandas/issues/41 | 835,731 | MDU6SXNzdWU4MzU3MzE= | 41 | Join methods for WidePanel | {
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def create_panels_join(a, b):
""" return a join of the 2 panels """
d = dict([ (i,(a[i].T.join(v.T)).T) for i, v in b.iteritems() ])
return p.WidePanel.fromDict(d)
# this is a 'more' correct version, but have to assure that a[i] is not None
def create_panels_join(a, b):
""" return a ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/42 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/42/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/42/comments | https://api.github.com/repos/pandas-dev/pandas/issues/42/events | https://github.com/pandas-dev/pandas/issues/42 | 835,736 | MDU6SXNzdWU4MzU3MzY= | 42 | Slice DataMatrix-- get a view | {
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https://api.github.com/repos/pandas-dev/pandas/issues/43 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/43/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/43/comments | https://api.github.com/repos/pandas-dev/pandas/issues/43/events | https://github.com/pandas-dev/pandas/issues/43 | 835,771 | MDU6SXNzdWU4MzU3NzE= | 43 | HDFStore testing and improvements | {
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] | closed | false | null | [] | null | 1 | 2011-05-01T17:58:10Z | 2011-06-23T04:47:33Z | 2011-06-23T04:47:33Z | MEMBER | null | Per many requests...just a place holder to remind me to do it
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https://api.github.com/repos/pandas-dev/pandas/issues/44 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/44/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/44/comments | https://api.github.com/repos/pandas-dev/pandas/issues/44/events | https://github.com/pandas-dev/pandas/issues/44 | 857,878 | MDU6SXNzdWU4NTc4Nzg= | 44 | All days instead of business days? | {
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I am very new to github and miss a discussion board for pandas. Not sure if issues is the right place for my question, so feel free to delete it, but please point to the right place for questions.
The question: I need to aggregate hourly time series to the daily scale, that would include all days, 7 per week. Cu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/45 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/45/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/45/comments | https://api.github.com/repos/pandas-dev/pandas/issues/45/events | https://github.com/pandas-dev/pandas/issues/45 | 934,142 | MDU6SXNzdWU5MzQxNDI= | 45 | Importing data using HDFStore with pre-epoch dates; "ValueError: timestamp out of range for platform localtime()/gmtime() function" | {
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] | closed | false | null | [] | null | 2 | 2011-05-20T22:13:31Z | 2011-06-23T04:17:27Z | 2011-06-23T04:17:27Z | NONE | null | I have data with a DataFrame that goes back to 1949. I imported it from a csv into a hdf5 using HDFStore. That went fine, but when reading from the HDFStore to get a DF back, I get the below stack trace. When looking at the data in the store I see that the index has negative values for preepoch times...
ValueError: t... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/46 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/46/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/46/comments | https://api.github.com/repos/pandas-dev/pandas/issues/46/events | https://github.com/pandas-dev/pandas/issues/46 | 979,782 | MDU6SXNzdWU5Nzk3ODI= | 46 | Configure pandas like pyzmq so checking in .c files is not necessary | {
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] | closed | false | null | [] | null | 1 | 2011-05-31T16:51:22Z | 2011-06-28T00:41:31Z | 2011-06-28T00:41:31Z | MEMBER | null | No reason to be checking in the C files and diffs
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https://api.github.com/repos/pandas-dev/pandas/issues/47 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/47/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/47/comments | https://api.github.com/repos/pandas-dev/pandas/issues/47/events | https://github.com/pandas-dev/pandas/issues/47 | 997,036 | MDU6SXNzdWU5OTcwMzY= | 47 | Time zone handling in DateRange, etc. using pytz | {
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] | closed | false | null | [] | null | 1 | 2011-06-03T08:53:52Z | 2011-06-14T14:43:51Z | 2011-06-14T14:43:51Z | MEMBER | null | Working on this at the moment, but still more to do
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https://api.github.com/repos/pandas-dev/pandas/issues/48 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/48/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/48/comments | https://api.github.com/repos/pandas-dev/pandas/issues/48/events | https://github.com/pandas-dev/pandas/issues/48 | 997,165 | MDU6SXNzdWU5OTcxNjU= | 48 | "Proper" boolean array with NA handling in DataMatrix | {
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] | closed | false | null | [] | null | 1 | 2011-06-03T09:08:28Z | 2011-06-14T14:06:41Z | 2011-06-14T14:06:41Z | MEMBER | null | Currently booleans are getting casted to floats in some circumstances in order to handle NAs. Need to devise a workable scheme for boolean data possibly containing NAs.
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https://api.github.com/repos/pandas-dev/pandas/issues/49 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/49/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/49/comments | https://api.github.com/repos/pandas-dev/pandas/issues/49/events | https://github.com/pandas-dev/pandas/issues/49 | 997,190 | MDU6SXNzdWU5OTcxOTA= | 49 | Consistent column ordering in mixed-type DataMatrix | {
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] | closed | false | null | [] | null | 1 | 2011-06-03T09:10:29Z | 2011-06-14T14:06:14Z | 2011-06-14T14:06:14Z | MEMBER | null | As floats and non-floats are currently segregated, column ordering not reliable. Thus, behavior between DataFrame and DataMatrix is not identical
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https://api.github.com/repos/pandas-dev/pandas/issues/50 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/50/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/50/comments | https://api.github.com/repos/pandas-dev/pandas/issues/50/events | https://github.com/pandas-dev/pandas/issues/50 | 998,016 | MDU6SXNzdWU5OTgwMTY= | 50 | Better implementation of rolling_max and min | {
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https://api.github.com/repos/pandas-dev/pandas/issues/51 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/51/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/51/comments | https://api.github.com/repos/pandas-dev/pandas/issues/51/events | https://github.com/pandas-dev/pandas/issues/51 | 1,091,992 | MDU6SXNzdWUxMDkxOTky | 51 | examples not running, error in documentation | {
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```
filledRatio = ibm / ibmMonthly.reindex(ibm.index, fillMethod='pad')
```
should be:
```
filledRatio = ibm / ibmMonthly.reindex(ibm.index, method='pad')
```
As reindex is defined in core/series.py as
```
def reindex(self, index=None, method=None):
```
Thi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/52 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/52/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/52/comments | https://api.github.com/repos/pandas-dev/pandas/issues/52/events | https://github.com/pandas-dev/pandas/issues/52 | 1,092,649 | MDU6SXNzdWUxMDkyNjQ5 | 52 | Improve fancy indexing when selecting cross-sections | {
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] | closed | false | null | [] | null | 1 | 2011-06-21T15:49:54Z | 2011-06-23T04:16:33Z | 2011-06-23T04:16:33Z | MEMBER | null | Something like
```
df.ix[0, ['C', 'B', A']]
```
is currently performing a wasteful reindex(columns=['C', 'B', A']), need to have some better way to infer the "right" order to perform the operations in
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https://api.github.com/repos/pandas-dev/pandas/issues/53 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/53/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/53/comments | https://api.github.com/repos/pandas-dev/pandas/issues/53/events | https://github.com/pandas-dev/pandas/issues/53 | 1,102,365 | MDU6SXNzdWUxMTAyMzY1 | 53 | Optimized DataFrame.append for block structure if possible | {
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https://api.github.com/repos/pandas-dev/pandas/issues/54 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/54/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/54/comments | https://api.github.com/repos/pandas-dev/pandas/issues/54/events | https://github.com/pandas-dev/pandas/issues/54 | 1,123,834 | MDU6SXNzdWUxMTIzODM0 | 54 | fillna bug on ordered string data | {
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```
x = Series([NaN,1.,NaN,3.,NaN],['a','b','c','d','e'], dtype=object)
x.fillna(method='pad')
```
Not OK
```
x = Series([NaN,1.,NaN,3.,NaN],['z','a','b','c','d'], dtype=object)
x.fillna(method='pad')
```
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https://api.github.com/repos/pandas-dev/pandas/issues/55 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/55/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/55/comments | https://api.github.com/repos/pandas-dev/pandas/issues/55/events | https://github.com/pandas-dev/pandas/pull/55 | 1,134,205 | MDExOlB1bGxSZXF1ZXN0MjAxOTY3 | 55 | Minor change to CleanCommand so build works with stdeb | {
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"gists_url": "ht... | [] | closed | false | null | [] | null | 1 | 2011-06-29T00:59:24Z | 2011-06-29T02:07:07Z | 2011-06-29T02:06:48Z | CONTRIBUTOR | null | Hi Wes, i've been following your pandas work for a while, and regularly install it on my ubuntu based systems. I generally use the stdeb (https://github.com/astraw/stdeb) package for creating .deb files from python packages. Unfortunately, some of your recent changes in setup.py in pandas caused a problem with buildi... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/56 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/56/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/56/comments | https://api.github.com/repos/pandas-dev/pandas/issues/56/events | https://github.com/pandas-dev/pandas/issues/56 | 1,169,618 | MDU6SXNzdWUxMTY5NjE4 | 56 | Some reverse binary operations fail with dtype=object | {
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```
In [12]: arr = Series(np.random.randn(10), index=np.arange(10), dtype=object)
In [13]: arr
Out[13]:
0 -0.475934738891
1 0.602096986911
2 0.731158853064
3 -0.268872970066
4 0.607786684074
5 -0.0200444918205
6 1.93289485517
7 1.14860246486
8 -0.138246858663
9 0.38273631747... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/57 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/57/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/57/comments | https://api.github.com/repos/pandas-dev/pandas/issues/57/events | https://github.com/pandas-dev/pandas/issues/57 | 1,224,282 | MDU6SXNzdWUxMjI0Mjgy | 57 | fillna bug | {
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ser.fillna(method='backfill')
GIVES
ValueError: unknown dtype code in numpy.pxd (0)
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https://api.github.com/repos/pandas-dev/pandas/issues/58 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/58/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/58/comments | https://api.github.com/repos/pandas-dev/pandas/issues/58/events | https://github.com/pandas-dev/pandas/issues/58 | 1,228,406 | MDU6SXNzdWUxMjI4NDA2 | 58 | setup.py | {
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can't convert the .pyx files to .c
hard linking pandas/src/skiplist.pyx -> pandas-0.4.0.dev20110715_027c90b/pandas/src
'pandas/src/sparse.c' not a regular file -- skipping
hard linking pandas/src/sparse.pyx -> pandas-0.4.0.dev20110715_027c90b/panda... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/59 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/59/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/59/comments | https://api.github.com/repos/pandas-dev/pandas/issues/59/events | https://github.com/pandas-dev/pandas/issues/59 | 1,232,682 | MDU6SXNzdWUxMjMyNjgy | 59 | Use Pdb.runcall() in debug() | {
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https://api.github.com/repos/pandas-dev/pandas/issues/60 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/60/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/60/comments | https://api.github.com/repos/pandas-dev/pandas/issues/60/events | https://github.com/pandas-dev/pandas/issues/60 | 1,233,249 | MDU6SXNzdWUxMjMzMjQ5 | 60 | Easier subclassing | {
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"f... | 20 | 2011-07-15T23:11:41Z | 2014-07-30T01:12:20Z | 2014-07-30T01:12:20Z | NONE | null | Hi,
Currently, sub-classing pandas objects is not as easy as it could be.
This is the result of many methods explicitly creating specific classes. E.g. the '_combine_const' method from 'matrix' explicitly returns a DataMatrix object:
def _combine_const(self, other, func):
if not self:
return ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/61 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/61/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/61/comments | https://api.github.com/repos/pandas-dev/pandas/issues/61/events | https://github.com/pandas-dev/pandas/issues/61 | 1,239,398 | MDU6SXNzdWUxMjM5Mzk4 | 61 | DataFrame.__ne__ not implemented | {
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] | closed | false | null | [] | null | 1 | 2011-07-18T02:15:11Z | 2011-07-20T19:46:26Z | 2011-07-20T19:46:25Z | MEMBER | null | See
```
dm = DataFrame({'col1':[1,2],'col2':[1,2]})
dm[dm!=0] = 5
```
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https://api.github.com/repos/pandas-dev/pandas/issues/62 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/62/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/62/comments | https://api.github.com/repos/pandas-dev/pandas/issues/62/events | https://github.com/pandas-dev/pandas/issues/62 | 1,242,419 | MDU6SXNzdWUxMjQyNDE5 | 62 | Add na_omit options to aggregation functions | {
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```
mean(arr, na.rm=T)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/63 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/63/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/63/comments | https://api.github.com/repos/pandas-dev/pandas/issues/63/events | https://github.com/pandas-dev/pandas/issues/63 | 1,242,420 | MDU6SXNzdWUxMjQyNDIw | 63 | Unit testing / cleanup of pandas.io.sql | {
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https://api.github.com/repos/pandas-dev/pandas/issues/64 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/64/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/64/comments | https://api.github.com/repos/pandas-dev/pandas/issues/64/events | https://github.com/pandas-dev/pandas/issues/64 | 1,242,434 | MDU6SXNzdWUxMjQyNDM0 | 64 | numpy.datetime64 type integration | {
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https://api.github.com/repos/pandas-dev/pandas/issues/65 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/65/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/65/comments | https://api.github.com/repos/pandas-dev/pandas/issues/65/events | https://github.com/pandas-dev/pandas/issues/65 | 1,242,459 | MDU6SXNzdWUxMjQyNDU5 | 65 | Add dot method to DataFrame | {
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```
df.dot(series)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/66 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/66/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/66/comments | https://api.github.com/repos/pandas-dev/pandas/issues/66/events | https://github.com/pandas-dev/pandas/issues/66 | 1,242,473 | MDU6SXNzdWUxMjQyNDcz | 66 | Fancy indexing on single column of DataFrame | {
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] | closed | false | null | [] | null | 1 | 2011-07-18T15:45:19Z | 2011-07-30T18:02:16Z | 2011-07-30T18:02:16Z | MEMBER | null | Things like this does not work
```
df.ix[boolean_vec, 'B'] = val
```
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https://api.github.com/repos/pandas-dev/pandas/issues/67 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/67/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/67/comments | https://api.github.com/repos/pandas-dev/pandas/issues/67/events | https://github.com/pandas-dev/pandas/issues/67 | 1,242,483 | MDU6SXNzdWUxMjQyNDgz | 67 | Reindexing Cython code cleanup | {
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https://api.github.com/repos/pandas-dev/pandas/issues/68 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/68/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/68/comments | https://api.github.com/repos/pandas-dev/pandas/issues/68/events | https://github.com/pandas-dev/pandas/issues/68 | 1,242,492 | MDU6SXNzdWUxMjQyNDky | 68 | Import plyr-like functionality | {
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http://cran.r-project.org/web/packages/plyr/index.html
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https://api.github.com/repos/pandas-dev/pandas/issues/69 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/69/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/69/comments | https://api.github.com/repos/pandas-dev/pandas/issues/69/events | https://github.com/pandas-dev/pandas/issues/69 | 1,242,501 | MDU6SXNzdWUxMjQyNTAx | 69 | Fancy indexing on WidePanel and n-dimensional version | {
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https://api.github.com/repos/pandas-dev/pandas/issues/70 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/70/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/70/comments | https://api.github.com/repos/pandas-dev/pandas/issues/70/events | https://github.com/pandas-dev/pandas/issues/70 | 1,242,511 | MDU6SXNzdWUxMjQyNTEx | 70 | Implement DataFrame.insert method | {
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```
df.insert(0, column, value)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/71 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/71/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/71/comments | https://api.github.com/repos/pandas-dev/pandas/issues/71/events | https://github.com/pandas-dev/pandas/issues/71 | 1,242,517 | MDU6SXNzdWUxMjQyNTE3 | 71 | Enable DataFrame constructor to accept structured/record ndarray | {
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https://api.github.com/repos/pandas-dev/pandas/issues/72 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/72/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/72/comments | https://api.github.com/repos/pandas-dev/pandas/issues/72/events | https://github.com/pandas-dev/pandas/issues/72 | 1,242,529 | MDU6SXNzdWUxMjQyNTI5 | 72 | Enable reindex methods to optionally not copy data when they can | {
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] | closed | false | null | [] | null | 1 | 2011-07-18T15:52:21Z | 2011-09-08T16:39:40Z | 2011-09-08T16:39:40Z | MEMBER | null | If no reshaping is required, reindex currently copies anyway (which is the generally desired behavior: favor immutability):
```
df.reindex(index)
```
but perhaps you could do:
```
df.reindex(index, force_copy=False)
```
if course if reshaping is required, a copy will be created anyway. Should think of a better keyw... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/73 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/73/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/73/comments | https://api.github.com/repos/pandas-dev/pandas/issues/73/events | https://github.com/pandas-dev/pandas/issues/73 | 1,242,542 | MDU6SXNzdWUxMjQyNTQy | 73 | Enable Series objects to optionally have a name associated with them | {
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```
>>> s = Series(values, index, name='foo')
>>> s.name
```
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] | closed | false | null | [] | null | 1 | 2011-07-18T16:02:37Z | 2011-08-11T04:12:54Z | 2011-08-11T04:12:54Z | MEMBER | null | Now that WidePanel admits non-floating point data, need to_long to work and LongPanel needs an internal block structure
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https://api.github.com/repos/pandas-dev/pandas/issues/76 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/76/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/76/comments | https://api.github.com/repos/pandas-dev/pandas/issues/76/events | https://github.com/pandas-dev/pandas/issues/76 | 1,245,597 | MDU6SXNzdWUxMjQ1NTk3 | 76 | Sparse cumsum functions do not work | {
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] | closed | false | null | [] | null | 1 | 2011-07-18T21:00:39Z | 2011-07-20T03:52:38Z | 2011-07-20T03:52:38Z | MEMBER | null | e.g. SparseSeries.cumsum
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https://api.github.com/repos/pandas-dev/pandas/issues/77 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/77/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/77/comments | https://api.github.com/repos/pandas-dev/pandas/issues/77/events | https://github.com/pandas-dev/pandas/issues/77 | 1,265,368 | MDU6SXNzdWUxMjY1MzY4 | 77 | Build error on OS X 10.7: tseries | {
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] | closed | false | null | [] | null | 35 | 2011-07-21T19:32:25Z | 2011-10-03T13:53:25Z | 2011-10-02T02:55:40Z | NONE | null | I'm trying to build pandas on OSX 10.7, but run into an error building tseries:
building 'pandas._tseries' extension
C compiler: llvm-gcc-4.2 -DNDEBUG -g -fwrapv -Os -Wall -Wstrict-prototypes -arch x86_64 -pipe
creating build/temp.macosx-10.7-x86_64-2.7
creating build/temp.macosx-10.7-x86_64-2.7/pandas
creating build... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/78 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/78/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/78/comments | https://api.github.com/repos/pandas-dev/pandas/issues/78/events | https://github.com/pandas-dev/pandas/issues/78 | 1,278,525 | MDU6SXNzdWUxMjc4NTI1 | 78 | Create HierarchicalIndex object to implement multi-level indexing | {
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] | closed | false | null | [] | null | 1 | 2011-07-24T20:08:48Z | 2011-09-08T16:38:54Z | 2011-09-08T16:38:54Z | MEMBER | null | Also provides a nice way to create pretty pivot tables / cross-tabulations
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https://api.github.com/repos/pandas-dev/pandas/issues/79 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/79/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/79/comments | https://api.github.com/repos/pandas-dev/pandas/issues/79/events | https://github.com/pandas-dev/pandas/issues/79 | 1,286,029 | MDU6SXNzdWUxMjg2MDI5 | 79 | groupby.pyx | {
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got an error when building
"
index = np.asarray(index)
## ^
/home/yinchun/diy/pyenv/invest/src/pandas/pandas/src/groupby.pyx:62:28: local variable 'index' referenced before assignment
"
could i just delete this line??
Thanks,
Tim
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https://api.github.com/repos/pandas-dev/pandas/issues/80 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/80/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/80/comments | https://api.github.com/repos/pandas-dev/pandas/issues/80/events | https://github.com/pandas-dev/pandas/issues/80 | 1,289,636 | MDU6SXNzdWUxMjg5NjM2 | 80 | Some test data files don't get copied to site-packages | {
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] | closed | false | null | [] | null | 0 | 2011-07-26T15:41:00Z | 2013-12-04T00:40:19Z | 2011-08-07T16:16:36Z | MEMBER | null | csv/h5/xls files in pandas/io/tests
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https://api.github.com/repos/pandas-dev/pandas/issues/81 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/81/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/81/comments | https://api.github.com/repos/pandas-dev/pandas/issues/81/events | https://github.com/pandas-dev/pandas/issues/81 | 1,299,665 | MDU6SXNzdWUxMjk5NjY1 | 81 | bug in DataFrame/DataMatrix toCSV method when index=False | {
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```
def toCSV(self, path, nanRep='', cols=None, header=True, index=True, mode='wb'):
*<snip>*
for idx in self.index:
if index:
f.write(str(idx))
for col in cols:
*<snip>*
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https://api.github.com/repos/pandas-dev/pandas/issues/82 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/82/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/82/comments | https://api.github.com/repos/pandas-dev/pandas/issues/82/events | https://github.com/pandas-dev/pandas/issues/82 | 1,303,422 | MDU6SXNzdWUxMzAzNDIy | 82 | ImportError: No module named tseries | {
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I downloaded the 0.3.0 package from pypi, installed using "sudo python setup.py install".
The install was OK, but in Python when doing "import pandas" I get the following error:
"ImportError: No module named tseries" (full output from Ipython below).
This was using Ubuntu 10.04 (32),
Thanks.
## In [1]: import ... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/83 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/83/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/83/comments | https://api.github.com/repos/pandas-dev/pandas/issues/83/events | https://github.com/pandas-dev/pandas/issues/83 | 1,310,939 | MDU6SXNzdWUxMzEwOTM5 | 83 | [suggestion] example for pandas.DataFrame.pivot | {
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http://pandas.sourceforge.net/generated/pandas.DataFrame.pivot.html#pandas.DataFrame.pivot
Thanks!
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https://api.github.com/repos/pandas-dev/pandas/issues/84 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/84/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/84/comments | https://api.github.com/repos/pandas-dev/pandas/issues/84/events | https://github.com/pandas-dev/pandas/issues/84 | 1,311,144 | MDU6SXNzdWUxMzExMTQ0 | 84 | Create memory-efficient DateIndex | {
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https://api.github.com/repos/pandas-dev/pandas/issues/85 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/85/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/85/comments | https://api.github.com/repos/pandas-dev/pandas/issues/85/events | https://github.com/pandas-dev/pandas/issues/85 | 1,313,137 | MDU6SXNzdWUxMzEzMTM3 | 85 | Enable pandas.core.sparse objects to be stored in HDFStore | {
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https://api.github.com/repos/pandas-dev/pandas/issues/86 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/86/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/86/comments | https://api.github.com/repos/pandas-dev/pandas/issues/86/events | https://github.com/pandas-dev/pandas/issues/86 | 1,313,688 | MDU6SXNzdWUxMzEzNjg4 | 86 | Push some of Series.ix into Series.__getitem__/__setitem__ | {
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```
ts[date1:date2]
```
to mirror ts.ix[date1:date2]. Should respect integer labels while Series.ix will not
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https://api.github.com/repos/pandas-dev/pandas/issues/87 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/87/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/87/comments | https://api.github.com/repos/pandas-dev/pandas/issues/87/events | https://github.com/pandas-dev/pandas/issues/87 | 1,325,504 | MDU6SXNzdWUxMzI1NTA0 | 87 | [question] possible to use compound logic in indexing | {
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```
>>> df[df['A'] > 0.5]
A D N S
2009-05-29 00:00:00 0.979307 0.979307 4 5
2009-07-31 00:00:00 0.536261 nan 6 5
2009-09-30 00:00:0... | {
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] | closed | false | null | [] | null | 1 | 2011-08-05T15:46:35Z | 2011-09-08T16:38:37Z | 2011-09-08T16:38:37Z | MEMBER | null | e.g. WidePanel.sum has no usage documentation
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https://api.github.com/repos/pandas-dev/pandas/issues/89 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/89/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/89/comments | https://api.github.com/repos/pandas-dev/pandas/issues/89/events | https://github.com/pandas-dev/pandas/pull/89 | 1,355,531 | MDExOlB1bGxSZXF1ZXN0MjU4MjM0 | 89 | Fix for issue #80 | {
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It looks like the .h5 files in pandas/io/tests were getting copied okay, but the xls and csv files weren't in the package-data, so I added them.
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https://api.github.com/repos/pandas-dev/pandas/issues/90 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/90/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/90/comments | https://api.github.com/repos/pandas-dev/pandas/issues/90/events | https://github.com/pandas-dev/pandas/issues/90 | 1,359,677 | MDU6SXNzdWUxMzU5Njc3 | 90 | build error on linux: common.pyx | {
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cythoning pandas/src/tseries.pyx to pandas/src/tseries.c
## Error converting Pyrex file to C:
...
result[idx] = i
PyArray_ITER_NEXT(iter)
```
retu... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/91 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/91/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/91/comments | https://api.github.com/repos/pandas-dev/pandas/issues/91/events | https://github.com/pandas-dev/pandas/issues/91 | 1,361,586 | MDU6SXNzdWUxMzYxNTg2 | 91 | Change sum/mean/count/std/var/etc. to use bottleneck if available | {
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```
sorted_df = df.sort(['col1', 'col2'])
```
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https://api.github.com/repos/pandas-dev/pandas/issues/94 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/94/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/94/comments | https://api.github.com/repos/pandas-dev/pandas/issues/94/events | https://github.com/pandas-dev/pandas/issues/94 | 1,361,862 | MDU6SXNzdWUxMzYxODYy | 94 | Make DataFrame toString formatting use precision set in numpy.set_printoptions | {
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] | closed | false | null | [] | null | 2 | 2011-08-07T21:08:46Z | 2011-09-08T16:41:34Z | 2011-09-08T16:41:30Z | MEMBER | null | Currently the code involved with this is located in pandas/core/common.py. Shouldn't be very hard to do
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https://api.github.com/repos/pandas-dev/pandas/issues/95 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/95/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/95/comments | https://api.github.com/repos/pandas-dev/pandas/issues/95/events | https://github.com/pandas-dev/pandas/issues/95 | 1,369,747 | MDU6SXNzdWUxMzY5NzQ3 | 95 | Implement GroupBy __len__ to return number of resulting groups | {
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```
from pandas import *; from numpy.random import randn
data = { 'A': rand(4), 'B': rand(4), 'C': (0, 1, 1, 1)}
df = DataFrame(data)
grouping = df.groupby('C')
len(... | {
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https://api.github.com/repos/pandas-dev/pandas/issues/97 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/97/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/97/comments | https://api.github.com/repos/pandas-dev/pandas/issues/97/events | https://github.com/pandas-dev/pandas/issues/97 | 1,374,309 | MDU6SXNzdWUxMzc0MzA5 | 97 | Problem with Series.plot | {
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No big deal, since i can do
pylab.plot(np.asarray(ts.index), np.asarray(ts.values)
import pandas
import datetime
import numpy as np
values = np.arange(5.)
dates = [datetime.datetime(2... | {
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```
In [1]: df = DataFrame(index=['a', 'b', 'c'])
In [2]: df.ix['a']
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (2, 0))
------------------------------------------------------------------... | {
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] | closed | false | null | [] | null | 3 | 2011-08-09T22:51:30Z | 2011-08-19T21:07:24Z | 2011-08-19T20:11:52Z | MEMBER | null | A bit more complicated now with possible multiple groupings, however.
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... | closed | false | null | [] | null | 1 | 2011-08-10T00:51:55Z | 2011-08-19T20:12:50Z | 2011-08-19T20:12:50Z | MEMBER | null | .ix field should prefer labels over integers, while **getitem** should prefer integers
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