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https://api.github.com/repos/pandas-dev/pandas/issues/101 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/101/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/101/comments | https://api.github.com/repos/pandas-dev/pandas/issues/101/events | https://github.com/pandas-dev/pandas/issues/101 | 1,409,178 | MDU6SXNzdWUxNDA5MTc4 | 101 | Enable .drop(...) to work with MultiIndex | {
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] | closed | false | null | [] | null | 0 | "2011-08-15T17:36:34Z" | "2011-08-16T17:41:19Z" | "2011-08-16T17:41:19Z" | MEMBER | null | So we could do like df.drop(['foo']) on this:
```
A B C foo
foo one -0.659 0.7982 0.2346 bar
two 2.266 -1.157 0.04916 bar
three -1.786 2.029 0.4018 bar
bar one 0.4682 2.42 -1.073 bar
two -0.1343 -0.4565 -0.7504 bar
baz two -1.387 -0.9626 -0.9333 bar
three 1.277 -2.475 0.9841 bar
qux one -0.633 -0.9965 0.6696 bar
two 1.359 -0.6917 -0.5386 bar
three 0.5482 0.2563 0.6752 bar
```
and get this:
```
A B C foo
bar one 0.4682 2.42 -1.073 bar
two -0.1343 -0.4565 -0.7504 bar
baz two -1.387 -0.9626 -0.9333 bar
three 1.277 -2.475 0.9841 bar
qux one -0.633 -0.9965 0.6696 bar
two 1.359 -0.6917 -0.5386 bar
three 0.5482 0.2563 0.6752 bar
```
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https://api.github.com/repos/pandas-dev/pandas/issues/102 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/102/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/102/comments | https://api.github.com/repos/pandas-dev/pandas/issues/102/events | https://github.com/pandas-dev/pandas/issues/102 | 1,417,365 | MDU6SXNzdWUxNDE3MzY1 | 102 | pandas.stats.interface.ols broken in 0.4 from 0.3 | {
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} | [] | closed | false | null | [] | null | 1 | "2011-08-16T18:51:21Z" | "2011-08-16T19:01:47Z" | "2011-08-16T19:01:47Z" | NONE | null | A previously working (python 2.6, pandas 0.3) program using pandas.stats.interface.ols now (python 2.7, pandas 0.4) throws an exception
code:
WP = pandas.WidePanel.fromDict( AllPairSignals)
AllPairRets = WP.minor_xs('PairRet')
AllPairSigs = WP.minor_xs('Sig1')
AllPairModel = pandas.stats.interface.ols( y=AllPairRets, x={'x':AllPairSigs})
very lengthy exception:
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', (8, 0))
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', (70, 0))
> c:\python27\lib\site-packages\pandas\core\index.py(242)get_loc()
> 241 def get_loc(self, key):
> --> 242 return self.indexMap[key]
> 243
## ipdb> quit
TypeError Traceback (most recent call last)
c:\AlgoTrading\pairstrading\SignalRets.py in <module>()
197
198 if **name** == "**main**":
--> 199 main()
c:\AlgoTrading\pairstrading\SignalRets.py in main()
177 AllPairRets = WP.minor_xs('PairRet')
178 AllPairSigs = WP.minor_xs('Sig1')
--> 179 AllPairModel = pandas.stats.interface.ols( y=AllPairRets, x={'x':AllPairSigs})
180 PanelOLS[RegKey] = AllPairModel
181 print "PANEL REGRESSION", RegKey, "\n", AllPairModel
C:\Python27\lib\site-packages\pandas\stats\interface.pyc in ols(**kwargs)
115 klass = MovingPanelOLS
116
--> 117 return klass(**kwargs)
C:\Python27\lib\site-packages\pandas\stats\plm.pyc in **init**(self, y, x, weights, intercept, nw_lags, entity_effects, time_effects, x_effects, cluster, dropped_dummies,
verbose, nw_overlap)
85 (self._x, self._x_trans,
86 self._x_filtered, self._y,
---> 87 self._y_trans) = self._prepare_data()
88
89 self._x_trans_raw = self._x_trans.values
C:\Python27\lib\site-packages\pandas\stats\plm.pyc in _prepare_data(self)
111 """
112 (x, x_filtered, y, weights,
--> 113 weights_filt, cat_mapping) = self._filter_data()
114
115 self.log('Adding dummies to X variables')
C:\Python27\lib\site-packages\pandas\stats\plm.pyc in _filter_data(self)
183
184 x = data_long.filter(x_names)
--> 185 y = data_long.ix[:, ['__y__']]
186
187 if self._weights:
C:\Python27\lib\site-packages\pandas\core\indexing.pyc in **getitem**(self, key)
96 return self._fancy_getitem_axis(key, axis=0)
97 elif isinstance(key, tuple):
---> 98 return self._getitem_tuple(key)
99 elif _is_list_like(key):
100 return self._fancy_getitem(key, axis=0)
C:\Python27\lib\site-packages\pandas\core\indexing.pyc in _getitem_tuple(self, key)
105 if isinstance(self.frame.index, MultiIndex):
106 try:
--> 107 return self.frame.xs(key)
108 except KeyError:
109 # could do something more intelligent here? like raising the
C:\Python27\lib\site-packages\pandas\core\frame.pyc in xs(self, key, copy)
924
925 self._consolidate_inplace()
--> 926 new_data = self._data.xs(key, axis=1, copy=copy)
927 if new_data.ndim == 1:
928 return Series(new_data.as_matrix(), index=self.columns)
C:\Python27\lib\site-packages\pandas\core\internals.pyc in xs(self, key, axis, copy)
430 assert(axis >= 1)
431
--> 432 loc = self.axes[axis].get_loc(key)
433 slicer = [slice(None, None) for _ in range(self.ndim)]
434 slicer[axis] = loc
C:\Python27\lib\site-packages\pandas\core\index.pyc in get_loc(self, key)
624 if isinstance(key, tuple):
625 if len(key) == self.nlevels:
--> 626 return self._get_tuple_loc(key)
627 else:
628 result = slice(*self.slice_locs(key, key))
C:\Python27\lib\site-packages\pandas\core\index.pyc in _get_tuple_loc(self, tup)
642
643 def _get_tuple_loc(self, tup):
--> 644 indexer = self._get_label_key(tup)
645 try:
646 return self.indexMap[indexer]
C:\Python27\lib\site-packages\pandas\core\index.pyc in _get_label_key(self, tup)
649
650 def _get_label_key(self, tup):
--> 651 return tuple(lev.get_loc(v) for lev, v in zip(self.levels, tup))
652
653 def truncate(self, before=None, after=None):
C:\Python27\lib\site-packages\pandas\core\index.pyc in <genexpr>((lev, v))
649
650 def _get_label_key(self, tup):
--> 651 return tuple(lev.get_loc(v) for lev, v in zip(self.levels, tup))
652
653 def truncate(self, before=None, after=None):
C:\Python27\lib\site-packages\pandas\core\index.pyc in get_loc(self, key)
240
241 def get_loc(self, key):
--> 242 return self.indexMap[key]
243
244 def get_indexer(self, target, method=None):
TypeError: unhashable type
Here's a dump of what is in the 2 DataFrames. (The column name is the str of a tuple.)
ipdb> AllPairSigs
('CSX', 'NSC')
2011-04-01 -0.6202
2011-04-04 1.433
2011-04-05 -0.8794
2011-04-06 0.9277
2011-04-07 -0.2481
2011-04-08 0.3348
2011-04-11 0.9487
2011-04-12 1.805
2011-04-13 2.779
2011-04-14 -4.287
2011-04-15 0.5962
2011-04-18 1.056
2011-04-19 0.166
2011-04-20 6.21
2011-04-21 0.2945
2011-04-22 -1.267
2011-04-25 0.9863
2011-04-26 1.742
2011-04-27 1.392
2011-04-28 7.962
2011-04-29 3.862
2011-05-02 -1.323
2011-05-03 0.6395
2011-05-04 -1.665
2011-05-05 -2.061
2011-05-06 -0.729
2011-05-09 -0.2925
2011-05-10 2.134
ipdb> AllPairRets
('CSX', 'NSC')
2011-04-01 0.008226
2011-04-04 0.007131
2011-04-05 -0.005219
2011-04-06 0.006201
2011-04-07 0.008445
2011-04-08 0.009267
2011-04-11 0.005058
2011-04-12 -0.007568
2011-04-13 0.008001
2011-04-14 -0.00607
2011-04-15 -0.009921
2011-04-18 0.006624
2011-04-19 0.006538
2011-04-20 0.01625
2011-04-21 0.01686
2011-04-22 0
2011-04-25 -0.008953
2011-04-26 -0.01038
2011-04-27 0.009355
2011-04-28 -0.02005
2011-04-29 0.007567
2011-05-02 -0.008787
2011-05-03 -0.009324
2011-05-04 0.00906
2011-05-05 0.01203
2011-05-06 -0.005018
2011-05-09 -0.008835
2011-05-10 -0.008339
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} | 0 | "2011-08-17T19:04:13Z" | "2011-11-13T01:11:31Z" | "2011-11-13T01:11:31Z" | MEMBER | null | Maybe syntax will look something like:
```
frame.groupby(level=[0,2])
```
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} | 1 | "2011-08-18T21:48:22Z" | "2011-09-29T04:22:46Z" | "2011-09-29T04:22:46Z" | MEMBER | null | To back DataFrame.take with mixed-type data
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https://api.github.com/repos/pandas-dev/pandas/issues/105 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/105/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/105/comments | https://api.github.com/repos/pandas-dev/pandas/issues/105/events | https://github.com/pandas-dev/pandas/pull/105 | 1,439,353 | MDExOlB1bGxSZXF1ZXN0Mjc5ODIw | 105 | README updated for better Github output | {
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presentation in Github is as good as could be. Other
changes include some minor changes to wording and
added hyperlinks.
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} | 1 | "2011-08-22T00:39:43Z" | "2011-09-05T20:23:29Z" | "2011-09-05T20:23:29Z" | MEMBER | null | ```
In [44]: import pandas.rpy.common as com
In [45]: cw = com.load_data('ChickWeight')
Chick weight
1 0.0 10.5 41.4
2.0 10.5 47.25
4.0 10.11 56.47
6.0 10.11 66.79
8.0 10.11 79.68
10.0 10.11 93.05
12.0 10.11 108.5
14.0 9.778 123.4
16.0 9.471 144.6
18.0 9.471 158.9
20.0 9.471 170.4
21.0 9.562 177.8
2 0.0 25.5 40.7
2.0 25.5 49.4
4.0 25.5 59.8
6.0 25.5 75.4
8.0 25.5 91.7
In [47]: cw.groupby(['Diet', 'Time']).mean().ix[1]
Out[47]:
Chick 10.5
weight 47.25
```
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```
df.join([df2, df2, df3], how='outer')
```
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} | 1 | "2011-09-02T20:11:06Z" | "2014-07-01T02:55:23Z" | "2011-09-05T20:39:52Z" | MEMBER | null | Take this example:
arrays = [['bar', 'bar', 'baz', 'baz', 'qux', 'qux', 'foo', 'foo'],
['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]
tuples = zip(*arrays)
tuples
index = MultiIndex.from_tuples(tuples)
s = Series(randn(8), index=index)
This does not yield the expected result:
s['qux']
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} | 1 | "2011-09-02T20:15:36Z" | "2011-09-05T20:18:30Z" | "2011-09-05T20:18:30Z" | MEMBER | null | Otherwise people (myself included) using MultiIndex might shoot themselves in the foot. Cost of checking should be relatively minimal.
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https://api.github.com/repos/pandas-dev/pandas/issues/129 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/129/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/129/comments | https://api.github.com/repos/pandas-dev/pandas/issues/129/events | https://github.com/pandas-dev/pandas/pull/129 | 1,585,979 | MDExOlB1bGxSZXF1ZXN0MzEzMTUw | 129 | Added function to pull data from Yahoo! finance, FRED, and Ken French's website. | {
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} | [] | closed | false | null | [] | null | 4 | "2011-09-07T02:04:13Z" | "2011-09-08T02:24:19Z" | "2011-09-07T20:15:43Z" | CONTRIBUTOR | null | The goal is to make it easy to pull in data off the web from various different sources using the same consistent framework.
As an example:
from pandas.io.data import DataReader
gs = DataReader("GS", "yahoo")
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} | 2 | "2011-09-08T22:32:28Z" | "2011-09-09T03:11:08Z" | "2011-09-09T03:07:28Z" | MEMBER | null | ```
In [23]: import pandas.util.testing as tm
In [24]: df = tm.makeTimeDataFrame()
In [25]: df.groupby(lambda x: x.month).count()
Out[25]:
A B C D
1 21 21 21 21
2 9 9 9 9
In [26]: df.groupby(lambda x: x.month).apply(len)
Exception
you want to get a Series like:
1 21
2 9
```
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} | 1 | "2011-09-08T22:34:50Z" | "2011-09-09T04:47:36Z" | "2011-09-09T04:47:36Z" | MEMBER | null | ```
def apply(self, f, *args, **kwargs):
pass
```
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If I had some DataFrame with a bunch of columns, including, say
'char1', 'char2', and 'float' then
df.groupby('char1')['float'].agg([np.mean, np.std])
works but
df.groupby(['char1', 'char2'])['float'].agg([np.mean, np.std])
throws TypeError: 'list' object is not callable.
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} | 0 | "2011-09-13T01:27:21Z" | "2012-03-13T22:15:54Z" | "2012-03-13T22:15:52Z" | MEMBER | null | ```
foo bar
one two three one two
A 0.1241 0.0009403 -0.8312 -0.8608 0.1198
B 0.3026 1.344 -2.37 0.5601 -1.064
C 0.5238 -0.7135 -1.861 -1.266 0.3329
```
Want to be able to do
```
df.ix[:, ['bar', 'foo']]
```
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} | 0 | "2011-09-13T01:30:09Z" | "2011-09-20T16:30:48Z" | "2011-09-20T16:30:48Z" | MEMBER | null | This raises an exception
```
df = DataFrame(randn(5, 3), index=labels,
columns=['foo', 'bar', 'baz'])
df['str'] = 'value'
df.ix[::2, 'str'] = nan
```
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of datetime into version.py
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https://api.github.com/repos/pandas-dev/pandas/issues/139 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/139/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/139/comments | https://api.github.com/repos/pandas-dev/pandas/issues/139/events | https://github.com/pandas-dev/pandas/pull/139 | 1,646,218 | MDExOlB1bGxSZXF1ZXN0MzMwMzEy | 139 | Removed warnings when compiling using MSVC/Mingw under 64bit Windows | {
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Compiles on Windows-7 64bit with just a few warnings remaining (of initially hundreds) that I cannot fix since they seem to be upstream in cython.
C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\BIN\amd64\cl.exe /c /nologo /Ox /MD /W3 /GS- /DNDEBUG -ID:\Python27\lib\site-packages\numpy\core\include -ID:\Python27\include -ID:\Python27\PC /Tcpandas\src\tseries.c /Fobuild\temp.win-amd64-2.7\Release\pandas\src\tseries.obj
tseries.c
pandas\src\tseries.c(13717) : warning C4244: '+=' : conversion from 'Py_ssize_t' to 'long', possible loss of data
pandas\src\tseries.c(13727) : warning C4244: '+=' : conversion from 'Py_ssize_t' to 'long', possible loss of data
pandas\src\tseries.c(17890) : warning C4244: 'function' : conversion from 'Py_ssize_t' to 'int', possible loss of data
pandas\src\tseries.c(23257) : warning C4244: 'function' : conversion from '__int64' to 'long', possible loss of data
pandas\src\tseries.c(26305) : warning C4267: '=' : conversion from 'size_t' to 'char', possible loss of data
pandas\src\tseries.c(26316) : warning C4267: 'initializing' : conversion from 'size_t' to 'int', possible loss of data
C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\BIN\amd64\link.exe /DLL /nologo /INCREMENTAL:NO /LIBPATH:D:\Python27\libs /LIBPATH:D:\Python27\PCbuild\amd64 /EXPORT:init_tseries build\temp.win-amd64-2.7\Release\pandas\src\tseries.obj /OUT:build\lib.win-amd64-2.7\pandas_tseries.pyd /IMPLIB:build\temp.win-amd64-2.7\Release\pandas\src_tseries.lib /MANIFESTFILE:build\temp.win-amd64-2.7\Release\pandas\src_tseries.pyd.manifest
tseries.obj : warning LNK4197: export 'init_tseries' specified multiple times; using first specification
Creating library build\temp.win-amd64-2.7\Release\pandas\src_tseries.lib and object build\temp.win-amd64-2.7\Release\pandas\src_tseries.exp
C:\Program Files\Microsoft SDKs\Windows\v6.0A\bin\x64\mt.exe -nologo -manifest build\temp.win-amd64-2.7\Release\pandas\src_tseries.pyd.manifest -outputresource:build\lib.win-amd64-2.7\pandas_tseries.pyd;2
cythoning pandas\src\sparse.pyx to pandas\src\sparse.c
building 'pandas._sparse' extension
C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\BIN\amd64\cl.exe /c /nologo /Ox /MD /W3 /GS- /DNDEBUG -ID:\Python27\lib\site-packages\numpy\core\include -ID:\Python27\include -ID:\Python27\PC /Tcpandas\src\sparse.c /Fobuild\temp.win-amd64-2.7\Release\pandas\src\sparse.obj
sparse.c
pandas\src\sparse.c(4846) : warning C4244: '+=' : conversion from 'Py_ssize_t' to 'long', possible loss of data
pandas\src\sparse.c(7557) : warning C4244: '+=' : conversion from 'Py_ssize_t' to 'long', possible loss of data
pandas\src\sparse.c(16613) : warning C4244: 'function' : conversion from '__int64' to 'long', possible loss of data
pandas\src\sparse.c(19732) : warning C4267: '=' : conversion from 'size_t' to 'char', possible loss of data
pandas\src\sparse.c(19743) : warning C4267: 'initializing' : conversion from 'size_t' to 'int', possible loss of data
C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\BIN\amd64\link.exe /DLL /nologo /INCREMENTAL:NO /LIBPATH:D:\Python27\libs /LIBPATH:D:\Python27\PCbuild\amd64 /EXPORT:init_sparse build\temp.win-amd64-2.7\Release\pandas\src\sparse.obj /OUT:build\lib.win-amd64-2.7\pandas_sparse.pyd /IMPLIB:build\temp.win-amd64-2.7\Release\pandas\src_sparse.lib /MANIFESTFILE:build\temp.win-amd64-2.7\Release\pandas\src_sparse.pyd.manifest
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} | [] | closed | false | null | [] | null | 1 | "2011-09-14T21:43:18Z" | "2014-08-02T09:06:16Z" | "2011-09-17T01:41:13Z" | CONTRIBUTOR | null | The convenience function I've been using. Don't know if it belongs in pandas or where.
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https://api.github.com/repos/pandas-dev/pandas/issues/141 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/141/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/141/comments | https://api.github.com/repos/pandas-dev/pandas/issues/141/events | https://github.com/pandas-dev/pandas/pull/141 | 1,648,708 | MDExOlB1bGxSZXF1ZXN0MzMxMTQ3 | 141 | ENH: Allow to sort on index level by name | {
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https://api.github.com/repos/pandas-dev/pandas/issues/142 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/142/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/142/comments | https://api.github.com/repos/pandas-dev/pandas/issues/142/events | https://github.com/pandas-dev/pandas/pull/142 | 1,648,976 | MDExOlB1bGxSZXF1ZXN0MzMxMjM0 | 142 | ENH: Allow unstacking by level name | {
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The problem is that there is no header for the index column:
In [1]: import pandas
In [2]: d = pandas.DataFrame(randn(3, 2), range(3), ['a', 'b'])
In [3]: d.to_csv('tmp.csv')
In [4]: cat tmp.csv
a,b
0,-0.244543341458,-1.50542482731
1,-1.02524916375,0.279887233706
2,0.0657877607121,-0.786951623121
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def dtypes(self):
return np.sort( Series( dict( (x,self[x].dtype ) for x in self.columns ) ) )
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} | [] | closed | false | null | [] | null | 1 | "2011-09-16T09:32:28Z" | "2014-06-16T01:22:51Z" | "2011-09-17T01:44:08Z" | NONE | null | Hi Wes
Firstly, congrats on such an amazing project! I love prototyping in python / numpy / ipython, but I always envy some of R's features. I tried pandas out about 9 months ago and although it was interesting, it seemed very rough around the edges. Now, however, it is looking really polished and I've been using it for prototyping and testing some trading models, and everything works extremely well. I hope it keeps growing, together with the integration with scikits statsmodels/timeseries and maybe even scikits.learn in future ...
Anyway, as I was starting to dive into the code, I came across the <code>read_csv</code> functions and noticed that there was full duplication in <code>read_table</code>. The <code>csv</code> module in python actually has full support for arbitrary delimiters, so there is no need for the duplication. Also, there is <code>csv.Sniffer().sniff(sample)</code> that attempts to sniff out the delimiter automatically. This commit tries to "magically" handle any arbitrary CSV file without needing to specify a separator, whether separated by blank spaces, tabs, commas, semicolons or other weird separators (I have a file at work with "^" separators :). If it doesn't work, one can fall back on specifying the separator (so <code>read_csv</code> looks more like <code>read_table</code>). In future it could make sense to simply have one <code>read_data</code> or <code>read_table</code> function.
Incidentally, the <code>csv.Sniffer()</code> also tries to sniff out other things like quote escaping and double quoting, but this commit effectively only uses it for the delimiter. If problems with quote / string escaping crop up with users one could always let the sniffer try to figure out the full dialect.
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https://api.github.com/repos/pandas-dev/pandas/issues/148 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/148/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/148/comments | https://api.github.com/repos/pandas-dev/pandas/issues/148/events | https://github.com/pandas-dev/pandas/issues/148 | 1,667,966 | MDU6SXNzdWUxNjY3OTY2 | 148 | Failing Test on Ambiguous Date/Time on Ubuntu 10.04 | {
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No milestone No one is assigned
Edit
I've installed the dependencies as well as Cython and am getting a failing test on Ubuntu 10.04:
FAIL: test_with_tzinfo_ambiguous_times (pandas.tests.test_daterange.TestDateRange)
Traceback (most recent call last):
File "/home/ryan/Code/pandas/pandas/tests/testdaterange.py", line 204, in test_with_tzinfo_ambiguous_times
self.assert(not dr.tz_validate())
AssertionError
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FAIL: testOLSWithDatasets (pandas.stats.tests.test_ols.TestOLS)
Traceback (most recent call last):
File "/home/ryan/Code/pandas/pandas/stats/tests/test_ols.py", line 56, in testOLSWithDatasets
self.checkDataSet(datasets.ccard.load(), 39, 49) # one col in X all 0s
File "/home/ryan/Code/pandas/pandas/stats/tests/test_ols.py", line 67, in checkDataSet
self.checkOLS(exog, endog, x, y)
File "/home/ryan/Code/pandas/pandas/stats/tests/test_ols.py", line 86, in checkOLS
assert_almost_equal(reference.params, result._beta_raw)
File "/home/ryan/Code/pandas/pandas/util/testing.py", line 76, in assert_almost_equal
np.testing.assert_equal(len(a), len(b))
File "/usr/lib/python2.6/dist-packages/numpy/testing/utils.py", line 313, in assert_equal
raise AssertionError(msg)
AssertionError:
Items are not equal:
ACTUAL: 4
DESIRED: 5
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https://api.github.com/repos/pandas-dev/pandas/issues/151 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/151/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/151/comments | https://api.github.com/repos/pandas-dev/pandas/issues/151/events | https://github.com/pandas-dev/pandas/pull/151 | 1,669,893 | MDExOlB1bGxSZXF1ZXN0MzM3NDM3 | 151 | ENH: improve DataFrame read_csv / to_csv for Index/MultiIndex | {
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} | [] | closed | false | null | [] | null | 1 | "2011-09-17T17:56:07Z" | "2014-06-19T05:29:22Z" | "2011-09-22T14:03:03Z" | CONTRIBUTOR | null | 2 issues for DataFrame.to_csv
1 ) If header and index are True, you should write something for an index header, even if index_level is None.
2) If given a MultiIndex, don't want to just call str() on each element.
Also fixed read_csv to take an iterable for index_col so that I could write tests.
I haven't looked at the similar methods in Series or the other to_\* methods yet. This is all I needed at the moment.
Aside: it looks like in test_frame setUp isn't a classmethod and is called for each test method. Not a big deal, but might be a little heavy in the test suite.
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} | 1 | "2011-09-21T16:03:43Z" | "2014-04-25T14:26:32Z" | "2014-04-25T14:26:32Z" | MEMBER | null | A lot of time is spent in Index.**new** in some computations. I do not think there's an essential need to create Index objects when you could just have an array of integers referring back to the single Index having all the column names for the DataFrame. This would also facilitate renaming as renaming would only need to happen in one place. Definitely not a trivial refactor and would unfortunately break legacy pickles yet again. "For the greater good"
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Should be careful to raise an exception when there are duplicate names and the level name is used
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} | 3 | "2011-09-23T18:56:20Z" | "2011-09-25T04:55:27Z" | "2011-09-25T04:55:27Z" | CONTRIBUTOR | null | 0.4.0 seems to use np.add.reduceat() where 0.3.0 doesn't which is causing issues with some code I run during the evaluation of the beta in a PanelOLS. In particular, during the evaluation of self._y_trans.count() in _time_obs_count() there is a seg fault.
I'm not familiar with the internals of numpy or pandas but it looks like 0.4.0 passes in a zero length array for the output. The debugger won't go into the np.add.reduceat() code but it segfaults as soon as I make the next step
python -m pdb valModel1.py
b /usr/local/lib/python2.7/site-packages/pandas/core/series.py:505
> /usr/local/lib/python2.7/site-packages/pandas/core/series.py(505)_count_level()
> -> np.add.reduceat(mask, locs[start:end], out=out)
> (Pdb) np.shape(mask)
> (0,)
> (Pdb) np.shape(locs)
> (271,)
> (Pdb) np.shape(out)
> (0,)
And then seg faults
Its possible this is an underlying numpy issue but everything works fine on the same system with 0.3.0.
If this is of interest to you I can give you more info.
I'm running Freebsd 8.1 with the following packages and pandas compiled from a git pull
python27-2.7.1_1
cython-0.14.1
py27-numpy-1.5.1,1
py27-matplotlib-1.0.1
py27-scipy-0.8.0_1
py27-dateutil-1.5
py27-setuptools-0.6c11_1
py27-nose-1.0.0
py27-pytz-2011c
Best
Dan
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} | 0 | "2011-09-25T15:28:08Z" | "2011-10-15T20:43:35Z" | "2011-10-15T20:43:35Z" | MEMBER | null | ``` python
In [44]: foo = Series(np.random.randn(100000))
In [45]: bar = Series(np.random.randn(100000))
In [46]: foo[::3] = np.nan
In [47]: bar[::4] = np.nan
In [48]: sfoo = foo.to_sparse(kind='integer')
In [49]: sbar = bar.to_sparse(kind='integer')
In [52]: timeit sfoo + sbar
100 loops, best of 3: 15.8 ms per loop
# implicitly kind='block
In [53]: sbar = bar.to_sparse()
In [54]: sfoo = foo.to_sparse()
In [55]: timeit sfoo + sbar
1 loops, best of 3: 217 ms per loop
```
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- Take functions for each of the major dtypes: bool, object, float, integer
- Routines for joining together consolidated blocks using the above routines
- Get rid of putmask business
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"url": "https://api.github.com/repos/pandas-dev/pandas/milestones/4"
} | 0 | "2011-09-27T04:30:31Z" | "2011-10-01T20:30:39Z" | "2011-10-01T20:30:39Z" | MEMBER | null | Not good:
``` python
In [15]: rng = DateRange('1/1/2000', periods=100000, offset=datetools.Minute())
In [16]: timeit rng.union(rng[:-1])
10 loops, best of 3: 93.9 ms per loop
In [17]: timeit rng.intersection(rng[:-1])
100 loops, best of 3: 12.2 ms per loop
```
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} | 7 | "2011-09-27T08:19:17Z" | "2012-04-22T02:11:51Z" | "2012-04-22T02:11:51Z" | NONE | null | I am having trouble with pre-epoch dates working with HDFStore, getting an OverflowError in mktime, as shown below.
Sample code is:
```
import numpy as np
from pandas import *
def panda_test():
# generate some data
data = np.random.rand(50,5)
# generate some dates
dates = DateRange('1/1/1969',periods=50)
# generate column headings
cols = ['A','B','C','D','E']
df = DataFrame(data,index=dates,columns=cols)
# save to HDF5Store
store = HDFStore('bugzilla.h5', mode='w')
store['df'] = df # This gives: OverflowError: mktime argument out of range
store.close()
if __name__ == '__main__':
panda_test()
```
The error I get is:
```
Traceback (most recent call last):
File "C:\Users\Salman Ansari\Documents\Python\VAR\src\bugzilla.py", line 27, in <module>
panda_test()
File "C:\Users\Salman Ansari\Documents\Python\VAR\src\bugzilla.py", line 22, in panda_test
store['df'] = df
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 122, in __setitem__
self.put(key, value)
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 260, in put
comp=compression)
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 327, in _write_to_group
wrapper(value)
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 325, in <lambda>
wrapper = lambda value: handler(group, value)
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 335, in _write_frame
self._write_block_manager(group, df._data)
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 346, in _write_block_manager
self._write_index(group, 'axis%d' % i, ax)
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 432, in _write_index
converted, kind, _ = _convert_index(index)
File "C:\Python27\lib\site-packages\pandas-0.4.0-py2.7-win32.egg\pandas\io\pytables.py", line 698, in _convert_index
for v in values], dtype=np.int64)
OverflowError: mktime argument out of range
Closing remaining open files: bugzilla.h5... done
```
Any ideas, please?
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] | closed | false | null | [] | null | 22 | "2011-09-27T10:22:30Z" | "2013-12-04T00:40:10Z" | "2011-10-04T15:51:00Z" | NONE | null | I am getting the following error in Ipython when importing pandas, any ideas?
/Library/Python/2.6/site-packages/pandas-0.4.1-py2.6-macosx-10.6-universal.egg/pandas/core/common.py:11: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility
import pandas._tseries as _tseries
/Library/Python/2.6/site-packages/pandas-0.4.1-py2.6-macosx-10.6-universal.egg/pandas/core/common.py:11: RuntimeWarning: numpy.flatiter size changed, may indicate binary incompatibility
import pandas._tseries as _tseries
/Library/Python/2.6/site-packages/pandas-0.4.1-py2.6-macosx-10.6-universal.egg/pandas/core/common.py:11: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility
import pandas._tseries as _tseries
/Library/Python/2.6/site-packages/pandas-0.4.1-py2.6-macosx-10.6-universal.egg/pandas/core/sparse.py:22: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility
from pandas._sparse import BlockIndex, IntIndex
/Library/Python/2.6/site-packages/pandas-0.4.1-py2.6-macosx-10.6-universal.egg/pandas/core/sparse.py:22: RuntimeWarning: numpy.flatiter size changed, may indicate binary incompatibility
from pandas._sparse import BlockIndex, IntIndex
/Library/Python/2.6/site-packages/pandas-0.4.1-py2.6-macosx-10.6-universal.egg/pandas/core/sparse.py:22: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility
from pandas._sparse import BlockIndex, IntIndex
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} | 1 | "2011-09-28T02:32:20Z" | "2011-10-01T19:56:43Z" | "2011-10-01T19:56:43Z" | MEMBER | null | ``` python
df = DataFrame({'A' : ['foo', 'bar', 'foo', 'bar',
'foo', 'bar', 'foo', 'foo'],
'B' : ['one', 'one', 'two', 'three',
'two', 'two', 'one', 'three'],
'C' : randn(8), 'D' : randn(8)})
df
grouped = df.groupby('A')
grouped = df.groupby('A')
grouped.agg(np.sum)
grouped = df.groupby('A', as_index=False)
grouped.agg(np.sum)
grouped.sum()
```
Adding @laserson so notifications go through
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https://api.github.com/repos/pandas-dev/pandas/issues/182 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/182/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/182/comments | https://api.github.com/repos/pandas-dev/pandas/issues/182/events | https://github.com/pandas-dev/pandas/issues/182 | 1,765,150 | MDU6SXNzdWUxNzY1MTUw | 182 | DataFrame to_csv() ignores nanRep argument for float32 input | {
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} | 2 | "2011-09-28T15:03:45Z" | "2011-10-02T11:56:59Z" | "2011-10-01T19:24:10Z" | NONE | null | import numpy as np
import pandas
d = np.random.randn(8, 4)
df = pandas.DataFrame(d)
df[1][:] = np.nan
df.to_csv('pandas-success.csv', nanRep='999')
d = np.asarray(np.random.randn(8, 4), dtype=np.float32)
df = pandas.DataFrame(d)
df[1][:] = np.nan
df.to_csv('pandas-fail.csv', nanRep='999')
After running this with pandas 0.4.1 the file pandas-success.csv
contains the nanRep string '999' as defined, but the file
pandas-fail.csv contains the string 'nan' instead.
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} | [] | closed | false | null | [] | null | 4 | "2011-09-28T18:24:37Z" | "2011-09-28T19:50:47Z" | "2011-09-28T19:50:47Z" | NONE | null | I am trying to build the latest version of pandas on Mac OS X 10.6.8. I am using Enthought's python distribution: Python 2.7.2 |EPD 7.1-2 (64-bit).
I downloaded the source from github, used python setup.py install, and it appeared to build without error. When I run nosetests pandas, I get some errors and failures (output below). I thought I had all the relevant dependencies installed. Any suggestions? Thanks for your help and for a wonderful package.
Thanks.
Output:
..............E.........................................F......................../Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2895: FutureWarning: asMatrix is deprecated. Use 'as_matrix' or .values instead
"instead", FutureWarning)
/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2890: FutureWarning: Replace usage of .cols() with .columns, will be removed in next release
"removed in next release", FutureWarning)
.....F/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: combineFirst is deprecated. Use combine_first instead
FutureWarning)
..F../Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: toDict is deprecated. Use to_dict instead
FutureWarning)
................../Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2937: FutureWarning: dropEmptyRows is deprecated. Use dropna(how='all')
FutureWarning)
./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2962: FutureWarning: dropEmptyRows is deprecated. Use dropna()
FutureWarning)
.../Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: _firstTimeWithValue is deprecated. Use first_valid_index instead
FutureWarning)
/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: _lastTimeWithValue is deprecated. Use last_valid_index instead
FutureWarning)
./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2901: FutureWarning: fromRecords is deprecated. Use 'from_records' instead
"instead", FutureWarning)
/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:361: FutureWarning: indexField argument is deprecated. Use index instead
"instead", FutureWarning)
/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: toRecords is deprecated. Use to_records instead
FutureWarning)
.E.E.E/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2990: FutureWarning: tgroupby is deprecated. Use groupby with axis=1
FutureWarning)
.........................E./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2884: FutureWarning: Replace usage of .rows() with .index, will be removed in next release
"in next release", FutureWarning)
..E.......E./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2973: FutureWarning: tapply is deprecated. Use apply(f, axis=1)
FutureWarning)
./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: toCSV is deprecated. Use to_csv instead
FutureWarning)
/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2907: FutureWarning: fromcsv is deprecated. Use 'from_csv' instead
"instead", FutureWarning)
./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py:2878: FutureWarning: toDataMatrix will disappear in next release as there is no longer a DataMatrix class
FutureWarning)
../Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: toString is deprecated. Use to_string instead
FutureWarning)
E............./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: asOfDate is deprecated. Use asof instead
FutureWarning)
F......F....................F...F...........EEE.............E....E.E.E.............E........F........E...E.E.F.E....E.....E.....E............/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: asOf is deprecated. Use asof instead
FutureWarning)
.....F.............EF......./Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py:152: FutureWarning: merge is deprecated. Use map instead
FutureWarning)
..EE.F/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/series.py:1109: FutureWarning: missingAtEnd is deprecated, use na_last
FutureWarning)
# ..F..........................................................................................E.E......EEEEE..EE..................E.....S.........................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................S......................
## ERROR: test_generate (test_daterange.TestGeneration)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_daterange.py", line 20, in test_generate
rng2 = list(generate_range(START, END, timeRule='WEEKDAY'))
TypeError: generate_range() got an unexpected keyword argument 'timeRule'
#
## ERROR: test_get_X_columns (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1499, in test_get_X_columns
self.assertEquals(df._get_object_columns(), ['c', 'd'])
AttributeError: 'DataFrame' object has no attribute '_get_object_columns'
#
## ERROR: test_get_axis (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 74, in test_get_axis
self.assertRaises(KeyError, self.klass._get_axis_name, 'foo')
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/unittest/case.py", line 471, in assertRaises
callableObj(_args, *_kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/generic.py", line 75, in _get_axis_name
raise Exception('No axis named %s' % axis)
Exception: No axis named foo
#
## ERROR: test_groupby (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1199, in test_groupby
del stragged['weekday']
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py", line 937, in **delitem**
self._data.delete(key)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/internals.py", line 475, in delete
i, _ = self._find_block(item)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/internals.py", line 532, in _find_block
self._check_have(item)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/internals.py", line 539, in _check_have
raise KeyError('no item named %s' % str(item))
KeyError: 'no item named weekday'
#
## ERROR: test_repr (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 347, in test_repr
self.empty.info(buffer=buf)
TypeError: info() got an unexpected keyword argument 'buffer'
#
## ERROR: test_set_index (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 91, in test_set_index
self.assertRaises(Exception, self.mixed_frame._set_index, idx[::2])
AttributeError: 'DataFrame' object has no attribute '_set_index'
#
## ERROR: test_sum (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1539, in test_sum
self._check_statistic(self.empty, 'sum', f)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1511, in _check_statistic
assert_series_equal(result, frame.apply(alternative))
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/testing.py", line 115, in assert_series_equal
assert(left.dtype == right.dtype)
AttributeError: 'DataFrame' object has no attribute 'dtype'
#
## ERROR: test_toString (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 376, in test_toString
biggie.toString(buffer=buf)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py", line 153, in wrapper
return alternative(_args, *_kwargs)
TypeError: to_string() got an unexpected keyword argument 'buffer'
#
## ERROR: test_constructor_objects_corner (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 110, in test_constructor_objects_corner
objects=obj_dm)
TypeError: **init**() got an unexpected keyword argument 'objects'
#
## ERROR: test_constructor_with_objects (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 63, in test_constructor_with_objects
objects=self.mixed_frame.objects)
AttributeError: 'DataFrame' object has no attribute 'objects'
#
## ERROR: test_copy (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 122, in test_copy
self.assert_(copy.objects is not self.mixed_frame.objects)
AttributeError: 'DataFrame' object has no attribute 'objects'
#
## ERROR: test_fill_corner (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 256, in test_fill_corner
obj_result = self.mixed_frame.objects.fillna(value=0)
AttributeError: 'DataFrame' object has no attribute 'objects'
#
## ERROR: test_get_X_columns (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1499, in test_get_X_columns
self.assertEquals(df._get_object_columns(), ['c', 'd'])
AttributeError: 'DataFrame' object has no attribute '_get_object_columns'
#
## ERROR: test_get_axis (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 74, in test_get_axis
self.assertRaises(KeyError, self.klass._get_axis_name, 'foo')
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/unittest/case.py", line 471, in assertRaises
callableObj(_args, *_kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/generic.py", line 75, in _get_axis_name
raise Exception('No axis named %s' % axis)
Exception: No axis named foo
#
## ERROR: test_groupby (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1199, in test_groupby
del stragged['weekday']
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py", line 937, in **delitem**
self._data.delete(key)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/internals.py", line 475, in delete
i, _ = self._find_block(item)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/internals.py", line 532, in _find_block
self._check_have(item)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/internals.py", line 539, in _check_have
raise KeyError('no item named %s' % str(item))
KeyError: 'no item named weekday'
#
## ERROR: test_more_constructor (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 45, in test_more_constructor
df = DataMatrix(mat, index=[0, 1], columns=[0], dtype=float)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py", line 161, in **init**
copy=copy)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/frame.py", line 210, in _init_ndarray
raise ValueError('failed to cast to %s' % dtype)
ValueError: failed to cast to <type 'float'>
#
## ERROR: test_repr (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 347, in test_repr
self.empty.info(buffer=buf)
TypeError: info() got an unexpected keyword argument 'buffer'
#
## ERROR: test_set_index (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 91, in test_set_index
self.assertRaises(Exception, self.mixed_frame._set_index, idx[::2])
AttributeError: 'DataFrame' object has no attribute '_set_index'
#
## ERROR: test_setitem_ambig (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 184, in test_setitem_ambig
self.assert_(dm.objects is None)
AttributeError: 'DataFrame' object has no attribute 'objects'
#
## ERROR: test_shift_objects (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 209, in test_shift_objects
self.assert_(shifted.objects is not None)
AttributeError: 'DataFrame' object has no attribute 'objects'
#
## ERROR: test_sum (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1539, in test_sum
self._check_statistic(self.empty, 'sum', f)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1511, in _check_statistic
assert_series_equal(result, frame.apply(alternative))
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/testing.py", line 115, in assert_series_equal
assert(left.dtype == right.dtype)
AttributeError: 'DataFrame' object has no attribute 'dtype'
#
## ERROR: test_toString (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 376, in test_toString
biggie.toString(buffer=buf)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/decorators.py", line 153, in wrapper
return alternative(_args, *_kwargs)
TypeError: to_string() got an unexpected keyword argument 'buffer'
#
## ERROR: Failure: ImportError (cannot import name LongPanelIndex)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/nose/loader.py", line 390, in loadTestsFromName
addr.filename, addr.module)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/nose/importer.py", line 39, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/nose/importer.py", line 86, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_panel.py", line 12, in <module>
from pandas.core.panel import (WidePanel, LongPanelIndex, LongPanel,
ImportError: cannot import name LongPanelIndex
#
## ERROR: test_groupby (test_series.TestSeries)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 845, in test_groupby
agged = grouped.agg(lambda x: group_constants[x.groupName] + x.mean())
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/groupby.py", line 267, in agg
return self.aggregate(func, _args, *_kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/groupby.py", line 654, in aggregate
result = self._aggregate_named(func_or_funcs, _args, *_kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/groupby.py", line 732, in _aggregate_named
output = func(grp, _args, *_kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 845, in <lambda>
agged = grouped.agg(lambda x: group_constants[x.groupName] + x.mean())
AttributeError: 'Series' object has no attribute 'groupName'
#
## ERROR: test_operators (test_series.TestSeries)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 296, in test_operators
check(self.ts \* 2)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 284, in check
_check_op(other, operator.add)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 279, in _check_op
python = series.combineFunc(other, op)
AttributeError: 'TimeSeries' object has no attribute 'combineFunc'
#
## ERROR: test_operators_corner (test_series.TestSeries)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 329, in test_operators_corner
deltas = deltas + sub_deltas
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/series.py", line 47, in wrapper
arr = op(this_reindexed.values, other_reindexed.values)
TypeError: unsupported operand type(s) for +: 'datetime.timedelta' and 'float'
#
## ERROR: testOLSWithDatasets (pandas.stats.tests.test_ols.TestOLS)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 52, in testOLSWithDatasets
self.checkDataSet(datasets.ccard.load(), skip_moving=True)
AttributeError: 'module' object has no attribute 'load'
#
## ERROR: test_f_test (pandas.stats.tests.test_ols.TestOLSMisc)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 179, in test_f_test
model = ols(y=y, x=x)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in **init**
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: test_r2_no_intercept (pandas.stats.tests.test_ols.TestOLSMisc)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 199, in test_r2_no_intercept
model1 = ols(y=y, x=x)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in **init**
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: test_series_rhs (pandas.stats.tests.test_ols.TestOLSMisc)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 239, in test_series_rhs
model = ols(y=y, x=x)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in **init**
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: test_summary_many_terms (pandas.stats.tests.test_ols.TestOLSMisc)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 216, in test_summary_many_terms
model = ols(y=y, x=x)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in **init**
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: test_various_attributes (pandas.stats.tests.test_ols.TestOLSMisc)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 248, in test_various_attributes
model = ols(y=y, x=x, window=20)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(*_kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 521, in **init**
OLS.**init**(self, y=y, x=x, *_self._args)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in __init__
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: test_y_predict (pandas.stats.tests.test_ols.TestOLSMisc)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 222, in test_y_predict
model1 = ols(y=y, x=x)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in **init**
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: testForSeries (pandas.stats.tests.test_ols.TestPanelOLS)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 492, in testForSeries
self.series_x, self.series_y)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 594, in checkForSeries
reference = ols(y=series_y, x=series_x, **kwds)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in **init**
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: testNonPooled (pandas.stats.tests.test_ols.TestPanelOLS)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 551, in testNonPooled
self.checkNonPooled(y=self.panel_y, x=self.panel_x)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 557, in checkNonPooled
result = ols(y=y, x=x, pool=False, **kwds)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/plm.py", line 807, in **init**
nw_overlap=nw_overlap)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(**kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in **init**
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## ERROR: test_auto_rolling_window_type (pandas.stats.tests.test_ols.TestPanelOLS)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/tests/test_ols.py", line 633, in test_auto_rolling_window_type
window_model = ols(y=y, x=data, window=20, min_periods=10)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/interface.py", line 136, in ols
return klass(*_kwargs)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 521, in **init**
OLS.**init**(self, y=y, x=x, *_self._args)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/stats/ols.py", line 36, in __init__
import scikits.statsmodels.api as sm
ImportError: No module named api
#
## FAIL: test_constructor (test_datetools.TestWeekOfMonth)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_datetools.py", line 259, in test_constructor
self.assertRaises(Exception, WeekOfMonth, n=2, week=0, weekday=0)
AssertionError: Exception not raised
#
## FAIL: test_combineAdd (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1370, in test_combineAdd
assert_frame_equal(comb, df3)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/testing.py", line 124, in assert_frame_equal
assert_series_equal(series, right[col])
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/testing.py", line 115, in assert_series_equal
assert(left.dtype == right.dtype)
AssertionError
#
## FAIL: test_combineFrame (test_frame.TestDataFrame)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 568, in test_combineFrame
self.assert_(np.isnan(added['C'][:5]).all())
AssertionError: <pandas.core.series.Series object at 0x10afe8050> is not true
#
## FAIL: test_asOfDate (test_index.TestIndex)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_index.py", line 69, in test_asOfDate
self.assert_(self.dateIndex.asOfDate(d - timedelta(1)) is None)
AssertionError: False is not true
#
## FAIL: test_duplicates (test_index.TestIndex)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_index.py", line 24, in test_duplicates
self.assertRaises(Exception, Index, [0, 0, 0])
AssertionError: Exception not raised
#
## FAIL: test_combineAdd (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 1370, in test_combineAdd
assert_frame_equal(comb, df3)
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/testing.py", line 124, in assert_frame_equal
assert_series_equal(series, right[col])
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/util/testing.py", line 115, in assert_series_equal
assert(left.dtype == right.dtype)
AssertionError
#
## FAIL: test_combineFrame (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_frame.py", line 568, in test_combineFrame
self.assert_(np.isnan(added['C'][:5]).all())
AssertionError: <pandas.core.series.Series object at 0x10c2317d0> is not true
#
## FAIL: test_reindex_bool (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 222, in test_reindex_bool
self.assert_(reindexed.values.dtype == np.float_)
AssertionError: False is not true
#
## FAIL: test_setitem_corner (test_matrix.TestDataMatrix)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_matrix.py", line 143, in test_setitem_corner
self.assertEqual(len(df.columns), 1)
AssertionError: 2 != 1
#
## FAIL: test_constructor (test_series.TestSeries)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 47, in test_constructor
self.assertRaises(Exception, Series, [0, 1, 2], index=None)
AssertionError: Exception not raised
#
## FAIL: test_groupby_transform (test_series.TestSeries)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 866, in test_groupby_transform
lambda x: x.mean())
AssertionError: Exception not raised
#
## FAIL: test_operators_frame (test_series.TestSeries)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 342, in test_operators_frame
self.assertRaises(Exception, self.ts.**pow**, df)
AssertionError: Exception not raised
#
## FAIL: test_preserveRefs (test_series.TestSeries)
Traceback (most recent call last):
File "/Library/Frameworks/EPD64.framework/Versions/7.1/lib/python2.7/site-packages/pandas/core/tests/test_series.py", line 720, in test_preserveRefs
self.assertFalse(np.isnan(self.ts[9]))
AssertionError: True is not false
---
Ran 1273 tests in 18.578s
FAILED (SKIP=2, errors=36, failures=13)
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https://api.github.com/repos/pandas-dev/pandas/issues/184 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/184/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/184/comments | https://api.github.com/repos/pandas-dev/pandas/issues/184/events | https://github.com/pandas-dev/pandas/issues/184 | 1,771,005 | MDU6SXNzdWUxNzcxMDA1 | 184 | Consistently set group name on groupby groups | {
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} | 0 | "2011-09-29T01:29:57Z" | "2012-05-15T00:15:43Z" | "2012-05-15T00:15:43Z" | MEMBER | null | Currently not done consistently, a couple of functions do it but it should be done everywhere preferably...
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https://api.github.com/repos/pandas-dev/pandas/issues/185 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/185/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/185/comments | https://api.github.com/repos/pandas-dev/pandas/issues/185/events | https://github.com/pandas-dev/pandas/issues/185 | 1,771,030 | MDU6SXNzdWUxNzcxMDMw | 185 | Advanced indexing .ix does not handle step with integer labels | {
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} | 0 | "2011-09-29T01:31:48Z" | "2011-09-30T01:05:12Z" | "2011-09-30T01:05:08Z" | MEMBER | null | Should raise exception:
``` python
In [14]: import pandas.util.testing as tm
In [15]: df = tm.makeTimeDataFrame()
In [16]: df.index = np.arange(len(df))
In [17]: df.ix[:20:2, :]
Out[17]:
A B C D
0 0.7272 2.299 0.6004 -1.295
1 0.1992 -0.6554 -0.6646 2.679
2 -2.888 -0.8418 0.9162 -0.423
3 0.1537 2.135 0.2564 0.7554
4 2.036 1.728 -1.055 0.59
5 -0.1152 -1.131 0.1782 0.89
6 -0.1432 -0.5045 -1.04 -1.235
7 0.4615 0.6217 0.652 0.7405
8 0.9663 -0.8796 1.295 -1.333
9 -0.2225 -0.6098 -0.1984 -0.534
10 0.3549 2.245 1.554 1.43
11 -1.241 -1.069 -1.85 -1.263
12 -1.484 -0.01338 0.4773 -1.221
13 0.8658 1.43 -0.005297 0.5183
14 -0.4009 -0.5202 -0.6209 -1.438
15 0.756 0.2559 0.4617 0.3081
16 0.7314 1.809 1.922 -0.1331
17 -1.633 -1.026 -1.327 -0.3797
18 0.731 -0.1977 1.26 0.9189
19 0.1858 -0.9953 0.8936 1.237
20 -1.195 -0.7265 -0.7423 -0.8248
```
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https://api.github.com/repos/pandas-dev/pandas/issues/186 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/186/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/186/comments | https://api.github.com/repos/pandas-dev/pandas/issues/186/events | https://github.com/pandas-dev/pandas/issues/186 | 1,771,648 | MDU6SXNzdWUxNzcxNjQ4 | 186 | Update README file to note that Cython is required for build | {
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} | 0 | "2011-09-30T01:11:13Z" | "2011-10-01T01:41:57Z" | "2011-10-01T01:41:57Z" | MEMBER | null | from Rory Grandin on the pystatsmodels mailing list
```
I'm not sure if anyone else has come across this, but I use notnull
extensively for checking if individual values are valid, and when
switching from pandas 0.3 to 0.4, noticed an almost fivefold increase
in the runtime for notnull. I think this is because notnull now calls
isnull, thus adding an additional burden. I've managed to reduce the
overhead somewhat by using the recommended lazy importing structure
from the performance tips on the python wiki (http://wiki.python.org/
moin/PythonSpeed/PerformanceTips#Import_Statement_Overhead). The call
to isnull now takes about a third of the time it was before.
Please let me know if you need any more information, I'm a bit new to
this, and would like to help out in any way I can :)
```
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} | 0 | "2011-10-01T00:36:41Z" | "2011-10-02T02:46:03Z" | "2011-10-02T02:46:03Z" | MEMBER | null | Per mailing list question from @laserson, this should look like:
``` python
level_values = np.asarray(index.levels[i]).take(index.labels[i])
```
documentation and tests needed
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``` python
def rolling_corr_pairwise(df, window):
all_results = {}
for col, left in df.iteritems():
all_results[col] = col_results = {}
for col, right in df.iteritems():
col_results[col] = rolling_corr(left, right, window)
return Panel(all_results)
```
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} | 0 | "2011-10-04T07:06:35Z" | "2011-11-14T03:10:39Z" | "2011-11-14T03:10:39Z" | NONE | null | here is a sample implementation for dataframe.
``` python
def cov(self):
"""
Compute pairwise covariance of columns
Returns
-------
y : DataFrame
"""
cols = self.columns
std = np.diag(self.std())
corr = self.corr()
result = np.dot(np.dot(std, corr), std)
return self._constructor(result , index=cols, columns=cols)
```
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https://api.github.com/repos/pandas-dev/pandas/issues/195 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/195/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/195/comments | https://api.github.com/repos/pandas-dev/pandas/issues/195/events | https://github.com/pandas-dev/pandas/issues/195 | 1,813,475 | MDU6SXNzdWUxODEzNDc1 | 195 | DateRange not only with datetime() but also with date(). | {
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DateRange(date(1990,1,1), date(1990,12,31))
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} | 4 | "2011-10-04T13:42:05Z" | "2011-10-09T17:41:35Z" | "2011-10-09T17:41:35Z" | NONE | null | I always envy summary() function in R. It is really useful in displaying basic statistics of each object. How about supporting the method for all pandas objects?
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https://api.github.com/repos/pandas-dev/pandas/issues/198 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/198/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/198/comments | https://api.github.com/repos/pandas-dev/pandas/issues/198/events | https://github.com/pandas-dev/pandas/issues/198 | 1,829,001 | MDU6SXNzdWUxODI5MDAx | 198 | MultiIndex Bugs (may be related to failure of get_tuple_index) | {
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} | [] | closed | false | null | [] | null | 4 | "2011-10-05T22:34:32Z" | "2011-10-06T18:30:13Z" | "2011-10-05T23:16:20Z" | NONE | null | Some examples given in documentation for MultiIndexing do not work.
Namely, you cannot add DataFrames or Series of different sizes, and you cannot use reindexing. This seems to be related to the fact that Index(list(index)) fails if index is an instance of MultiIndex.
> > > from pandas import *
> > > from numpy.random import randn
> > > arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'],
> > > ['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]
> > > tuples = zip(*arrays)
> > > index = MultiIndex.from_tuples(tuples)
> > > s = Series(randn(8), index=index)
> > > s
> > > bar one 0.173505416255
> > > two 0.225232806724
> > > baz one 0.0144614539266
> > > two -1.42139309132
> > > foo one 0.252413552834
> > > two 0.0597526924593
> > > qux one -2.12059192632
> > > two -1.16341432838
> > > df = DataFrame(randn(3, 8), index=['A', 'B', 'C'], columns=index)
> > >
> > > s + s[:-2]
Traceback (most recent call last):
File "<pyshell#192>", line 1, in <module>
s + s[:-2]
File "C:\Python27\lib\site-packages\pandas\core\series.py", line 45, in wrapper
copy=False)
File "C:\Python27\lib\site-packages\pandas\core\series.py", line 1282, in align
return_indexers=True)
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 429, in join
join_index = self.union(other)
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 1388, in union
self_tuples = self.get_tuple_index()
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 1191, in get_tuple_index
return Index(list(self))
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 57, in **new**
subarr[:] = data
ValueError: operands could not be broadcast together with shapes (8) (8,2)
> > > s.reindex(index=index[:-2])
Traceback (most recent call last):
File "<pyshell#200>", line 1, in <module>
s.reindex(index=index[:-2])
File "C:\Python27\lib\site-packages\pandas\core\series.py", line 1336, in reindex
new_index, fill_vec = self.index.reindex(index, method=method)
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 1175, in reindex
indexer = self.get_indexer(target, method=method)
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 1142, in get_indexer
target_index = target.get_tuple_index()
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 1191, in get_tuple_index
return Index(list(self))
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 57, in **new**
subarr[:] = data
ValueError: operands could not be broadcast together with shapes (6) (6,2)
> > > df=df.T
> > > df + df[:-2]
Traceback (most recent call last):
File "<pyshell#195>", line 1, in <module>
df + df[:-2]
File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 65, in f
return self._combine_frame(other, func, fill_value)
File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 1432, in _combine_frame
new_index = self.index.union(other.index)
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 1388, in union
self_tuples = self.get_tuple_index()
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 1191, in get_tuple_index
return Index(list(self))
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 57, in __new__
subarr[:] = data
ValueError: operands could not be broadcast together with shapes (8) (8,2)
> > > index
> > > MultiIndex([('bar', 'one'), ('bar', 'two'), ('baz', 'one'), ('baz', 'two'),
> > > ('foo', 'one'), ('foo', 'two'), ('qux', 'one'), ('qux', 'two')], dtype=object)
> > > list(index)
> > > [('bar', 'one'), ('bar', 'two'), ('baz', 'one'), ('baz', 'two'), ('foo', 'one'), ('foo', 'two'), ('qux', 'one'), ('qux', 'two')]
> > > Index(list(index))
Traceback (most recent call last):
File "<pyshell#198>", line 1, in <module>
Index(list(index))
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 57, in **new**
subarr[:] = data
ValueError: operands could not be broadcast together with shapes (8) (8,2)
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https://api.github.com/repos/pandas-dev/pandas/issues/199 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/199/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/199/comments | https://api.github.com/repos/pandas-dev/pandas/issues/199/events | https://github.com/pandas-dev/pandas/issues/199 | 1,836,426 | MDU6SXNzdWUxODM2NDI2 | 199 | MultiIndex with single level does not work | {
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} | 1 | "2011-10-06T18:25:09Z" | "2011-10-09T17:36:26Z" | "2011-10-09T17:36:26Z" | MEMBER | null | `.ix` based indexing fails, for example
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https://api.github.com/repos/pandas-dev/pandas/issues/200 | https://api.github.com/repos/pandas-dev/pandas | https://api.github.com/repos/pandas-dev/pandas/issues/200/labels{/name} | https://api.github.com/repos/pandas-dev/pandas/issues/200/comments | https://api.github.com/repos/pandas-dev/pandas/issues/200/events | https://github.com/pandas-dev/pandas/pull/200 | 1,836,648 | MDExOlB1bGxSZXF1ZXN0MzgzMTk1 | 200 | Python 3 compatibility | {
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} | [] | closed | false | null | [] | null | 11 | "2011-10-06T18:53:36Z" | "2014-06-13T05:01:26Z" | "2011-10-09T03:13:19Z" | CONTRIBUTOR | null | No doubt there are ways this could be improved, but this gets it installing, importing, and _almost_ passing the test suite.
There's one test failure left, and I think that's something odd with numpy, specifically the `ndarray.searchsorted()` method. It returns seemingly random results when it's called in `panel.get_axis_dummies()` - but I can't replicate those results calling searchsorted on identical arrays interactively.
It doesn't add any failures to the Python 2 test suite (one test is failing for me in master), but I've only checked this with Python 2.7.
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