Closed
Description
xref #10976 broke some tests on windows (these prob just need some _ensure_int64(..) before passing the pointers in, the test_rsample_group_info/test_series_groupby_nunique are from a previous issue; these just need np.array(...., dtype='int64') in the comparison functions (as windows makes these np.int32 by default)
cc @behzadnouri
[pandas] C:\Users\Jeff Reback\pandas>
[pandas] C:\Users\Jeff Reback\pandas>nosetests --exe -A "not slow and not network and not disabled" build\lib.win-amd64-2.7\pandas
C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\io\data.py:33: FutureWarning:
The pandas.io.data module is moved to a separate package (pandas-datareader) and will be removed from pandas in a future version.
After installing the pandas-datareader package (https://github.com/pydata/pandas-datareader), you can change the import ``from pandas.io import data, wb`` to ``from pandas_datareader import data, wb``
.
FutureWarning)
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.....................................................................................................................................................C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7
\pandas\core\algorithms.py:149: RuntimeWarning: tp_compare didn't return -1 or -2 for exception
sorter = uniques.argsort()
C:\Miniconda\envs\pandas\lib\site-packages\numpy\core\fromnumeric.py:799: RuntimeWarning: tp_compare didn't return -1 or -2 for exception
a.sort(axis, kind, order)
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y:7709: RuntimeWarning: Cannot compare type 'Timestamp' with type 'str', sort order is undefined for incomparable objects
colcorr = a.corrwith(b, axis=0)
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======================================================================
ERROR: test_custom_grouper (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 54, in test_custom_grouper
g._cython_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1129, in _cython_agg_general
result, names = self.grouper.aggregate(obj.values, how)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 6743, in pandas.algos.group_add_float64 (pandas\algos.c:118485)
def group_add_float64(ndarray[float64_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
ERROR: test_how_lambda_functions (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 850, in test_how_lambda_functions
bar_exp = ts.resample('M', how='std')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 766, in std
return np.sqrt(self.var(ddof=ddof))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 775, in var
return self._cython_agg_general('var')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1129, in _cython_agg_general
result, names = self.grouper.aggregate(obj.values, how)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 6988, in pandas.algos.group_var_float64 (pandas\algos.c:121664)
def group_var_float64(ndarray[float64_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
ERROR: test_ohlc_5min (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 504, in test_ohlc_5min
label='right')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 816, in ohlc
lambda x: x._cython_agg_general('ohlc'))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2689, in _apply_to_column_groupbys
return func(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 816, in <lambda>
lambda x: x._cython_agg_general('ohlc'))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1129, in _cython_agg_general
result, names = self.grouper.aggregate(obj.values, how)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 7195, in pandas.algos.group_ohlc_float64 (pandas\algos.c:124745)
def group_ohlc_float64(ndarray[float64_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
ERROR: test_resample_axis1 (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 539, in test_resample_axis1
result = df.resample('M', axis=1)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2786, in aggregate
return getattr(self, arg)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 274, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:34306)
raise
File "pandas\src\reduce.pyx", line 260, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:34160)
res = self.f(cached_typ)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1141, in <lambda>
f = lambda x: func(x, *args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 737, in <lambda>
f = lambda x: x.mean(axis=self.axis)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 4509, in stat_func
skipna=skipna, numeric_only=numeric_only)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\series.py", line 2111, in _reduce
self._get_axis_number(axis)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 312, in _get_axis_number
.format(axis, type(self)))
ValueError: No axis named 1 for object type <class 'pandas.core.series.Series'>
======================================================================
ERROR: test_resample_empty (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 688, in test_resample_empty
empty_series.resample('d', how)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 227, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:33564)
counts[0] = self.bins[0]
IndexError: index 0 is out of bounds for axis 0 with size 0
======================================================================
ERROR: test_resample_frame_basic (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 322, in test_resample_frame_basic
g._cython_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2711, in _cython_agg_general
new_items, new_blocks = self._cython_agg_blocks(how, numeric_only=numeric_only)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2747, in _cython_agg_blocks
result, _ = self.grouper.aggregate(block.values, how, axis=agg_axis)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 6743, in pandas.algos.group_add_float64 (pandas\algos.c:118485)
def group_add_float64(ndarray[float64_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
ERROR: test_resample_how (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 131, in test_resample_how
closed='right', label='right')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 766, in std
return np.sqrt(self.var(ddof=ddof))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 775, in var
return self._cython_agg_general('var')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1129, in _cython_agg_general
result, names = self.grouper.aggregate(obj.values, how)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 6988, in pandas.algos.group_var_float64 (pandas\algos.c:121664)
def group_var_float64(ndarray[float64_t, ndim=2] out,
ValueError: ("Buffer dtype mismatch, expected 'int64_t' but got 'long'", 'how=std')
======================================================================
ERROR: test_resample_ohlc (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 406, in test_resample_ohlc
result = s.resample('5Min', how='ohlc')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 816, in ohlc
lambda x: x._cython_agg_general('ohlc'))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2689, in _apply_to_column_groupbys
return func(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 816, in <lambda>
lambda x: x._cython_agg_general('ohlc'))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1129, in _cython_agg_general
result, names = self.grouper.aggregate(obj.values, how)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 7195, in pandas.algos.group_ohlc_float64 (pandas\algos.c:124745)
def group_ohlc_float64(ndarray[float64_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
ERROR: test_resample_ohlc_dataframe (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 431, in test_resample_ohlc_dataframe
res = df.resample('H', how='ohlc')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 315, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2786, in aggregate
return getattr(self, arg)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 816, in ohlc
lambda x: x._cython_agg_general('ohlc'))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 3460, in _apply_to_column_groupbys
keys=self._selected_obj.columns, axis=1)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tools\merge.py", line 760, in concat
copy=copy)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tools\merge.py", line 790, in __init__
objs = list(objs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 3458, in <genexpr>
(func(col_groupby) for _, col_groupby
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 816, in <lambda>
lambda x: x._cython_agg_general('ohlc'))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1129, in _cython_agg_general
result, names = self.grouper.aggregate(obj.values, how)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 7195, in pandas.algos.group_ohlc_float64 (pandas\algos.c:124745)
def group_ohlc_float64(ndarray[float64_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
ERROR: test_resample_panel (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 552, in test_resample_panel
result = panel.resample('M', axis=1)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 3501, in aggregate
return getattr(self, arg)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1145, in _python_agg_general
for name, obj in self._iterate_slices():
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 3477, in _iterate_slices
raise NotImplementedError("axis other than 0 is not supported")
NotImplementedError: axis other than 0 is not supported
======================================================================
ERROR: test_resample_panel_numpy (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 578, in test_resample_panel_numpy
expected = panel.resample('M', how='mean', axis=1)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 82, in resample
rs = self._resample_timestamps()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 287, in _resample_timestamps
result = grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 3501, in aggregate
return getattr(self, arg)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1145, in _python_agg_general
for name, obj in self._iterate_slices():
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 3477, in _iterate_slices
raise NotImplementedError("axis other than 0 is not supported")
NotImplementedError: axis other than 0 is not supported
======================================================================
ERROR: test_all_values_single_bin (pandas.tseries.tests.test_resample.TestResamplePeriodIndex)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 1411, in test_all_values_single_bin
result = s.resample("A", how='mean')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 92, in resample
rs = self._resample_periods()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 357, in _resample_periods
return grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 274, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:34306)
raise
File "pandas\src\reduce.pyx", line 249, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:33847)
cached_ityp = self.ityp(islider.buf)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 184, in __new__
ordinal, freq = cls._from_arraylike(data, freq, tz)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 250, in _from_arraylike
raise ValueError('freq not specified and cannot be '
ValueError: freq not specified and cannot be inferred from first element
======================================================================
ERROR: test_basic_downsample (pandas.tseries.tests.test_resample.TestResamplePeriodIndex)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 1063, in test_basic_downsample
result = ts.resample('a-dec')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 92, in resample
rs = self._resample_periods()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 357, in _resample_periods
return grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 274, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:34306)
raise
File "pandas\src\reduce.pyx", line 249, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:33847)
cached_ityp = self.ityp(islider.buf)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 184, in __new__
ordinal, freq = cls._from_arraylike(data, freq, tz)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 250, in _from_arraylike
raise ValueError('freq not specified and cannot be '
ValueError: freq not specified and cannot be inferred from first element
======================================================================
ERROR: test_basic_upsample (pandas.tseries.tests.test_resample.TestResamplePeriodIndex)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 1084, in test_basic_upsample
result = ts.resample('a-dec')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 92, in resample
rs = self._resample_periods()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 357, in _resample_periods
return grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 274, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:34306)
raise
File "pandas\src\reduce.pyx", line 249, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:33847)
cached_ityp = self.ityp(islider.buf)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 184, in __new__
ordinal, freq = cls._from_arraylike(data, freq, tz)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 250, in _from_arraylike
raise ValueError('freq not specified and cannot be '
ValueError: freq not specified and cannot be inferred from first element
======================================================================
ERROR: test_quarterly_resampling (pandas.tseries.tests.test_resample.TestResamplePeriodIndex)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 1344, in test_quarterly_resampling
result = ts.resample('A')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 92, in resample
rs = self._resample_periods()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 357, in _resample_periods
return grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 274, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:34306)
raise
File "pandas\src\reduce.pyx", line 249, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:33847)
cached_ityp = self.ityp(islider.buf)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 184, in __new__
ordinal, freq = cls._from_arraylike(data, freq, tz)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 250, in _from_arraylike
raise ValueError('freq not specified and cannot be '
ValueError: freq not specified and cannot be inferred from first element
======================================================================
ERROR: test_aggregate_normal (pandas.tseries.tests.test_resample.TestTimeGrouper)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 1552, in test_aggregate_normal
dt_result = getattr(dt_grouped, func)()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 775, in var
return self._cython_agg_general('var')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2711, in _cython_agg_general
new_items, new_blocks = self._cython_agg_blocks(how, numeric_only=numeric_only)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2747, in _cython_agg_blocks
result, _ = self.grouper.aggregate(block.values, how, axis=agg_axis)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1566, in aggregate
result = self._aggregate(result, counts, values, agg_func, is_numeric)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1611, in _aggregate
agg_func(result, counts, values, comp_ids)
File "pandas\src\generated.pyx", line 6988, in pandas.algos.group_var_float64 (pandas\algos.c:121664)
def group_var_float64(ndarray[float64_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
ERROR: test_panel_aggregation (pandas.tseries.tests.test_resample.TestTimeGrouper)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 1512, in test_panel_aggregation
binagg = bingrouped.mean()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1145, in _python_agg_general
for name, obj in self._iterate_slices():
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 3477, in _iterate_slices
raise NotImplementedError("axis other than 0 is not supported")
NotImplementedError: axis other than 0 is not supported
======================================================================
ERROR: test_period_resample (pandas.tseries.tests.test_timeseries.TestTimeSeries)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_timeseries.py", line 2042, in test_period_resample
result = s.to_period().resample('T', kind='period')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 92, in resample
rs = self._resample_periods()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 357, in _resample_periods
return grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2325, in aggregate
return getattr(self, func_or_funcs)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 274, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:34306)
raise
File "pandas\src\reduce.pyx", line 249, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:33847)
cached_ityp = self.ityp(islider.buf)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 184, in __new__
ordinal, freq = cls._from_arraylike(data, freq, tz)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\period.py", line 250, in _from_arraylike
raise ValueError('freq not specified and cannot be '
ValueError: freq not specified and cannot be inferred from first element
======================================================================
ERROR: pandas.tests.test_tseries.test_group_ohlc
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Miniconda\envs\pandas\lib\site-packages\nose\case.py", line 197, in runTest
self.test(*self.arg)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tests\test_tseries.py", line 507, in test_group_ohlc
_check('float32')
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tests\test_tseries.py", line 489, in _check
func(out, counts, obj[:, None], labels)
File "pandas\src\generated.pyx", line 7240, in pandas.algos.group_ohlc_float32 (pandas\algos.c:125372)
def group_ohlc_float32(ndarray[float32_t, ndim=2] out,
ValueError: Buffer dtype mismatch, expected 'int64_t' but got 'long'
======================================================================
FAIL: test_resample_dup_index (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 454, in test_resample_dup_index
result = df.resample('Q',axis=1)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\generic.py", line 3486, in resample
return sampler.resample(self).__finalize__(self)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 92, in resample
rs = self._resample_periods()
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\resample.py", line 357, in _resample_periods
return grouped.aggregate(self._agg_method)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 2786, in aggregate
return getattr(self, arg)(*args, **kwargs)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 738, in mean
return self._python_agg_general(f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1147, in _python_agg_general
result, counts = self.grouper.agg_series(obj, f)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\core\groupby.py", line 1862, in agg_series
return grouper.get_result()
File "pandas\src\reduce.pyx", line 238, in pandas.lib.SeriesBinGrouper.get_result (pandas\lib.c:33723)
vslider = Slider(self.arr, self.dummy_arr)
File "pandas\src\reduce.pyx", line 434, in pandas.lib.Slider.__init__ (pandas\lib.c:38534)
assert(values.ndim == 1)
AssertionError
======================================================================
FAIL: test_resample_group_info (pandas.tseries.tests.test_resample.TestResample)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 942, in test_resample_group_info
assert_series_equal(left, right)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 865, in assert_series_equal
assert_attr_equal('dtype', left, right)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 667, in assert_attr_equal
left_attr, right_attr)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 757, in raise_assert_detail
raise AssertionError(msg)
AssertionError: Attributes are different
Attribute "dtype" are different
[left]: int32
[right]: int64
======================================================================
FAIL: test_aggregate_with_nat (pandas.tseries.tests.test_resample.TestTimeGrouper)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tseries\tests\test_resample.py", line 1607, in test_aggregate_with_nat
assert_frame_equal(expected, dt_result)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 987, in assert_frame_equal
obj='DataFrame.iloc[:, {0}]'.format(i))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 884, in assert_series_equal
check_less_precise, obj='{0}'.format(obj))
File "pandas\src\testing.pyx", line 58, in pandas._testing.assert_almost_equal (pandas\src\testing.c:3615)
cpdef assert_almost_equal(a, b, bint check_less_precise=False,
File "pandas\src\testing.pyx", line 147, in pandas._testing.assert_almost_equal (pandas\src\testing.c:2577)
raise_assert_detail(obj, msg, lobj, robj)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 757, in raise_assert_detail
raise AssertionError(msg)
AssertionError: DataFrame.iloc[:, 0] are different
DataFrame.iloc[:, 0] values are different (20.0 %)
[left]: [1.2509771188, -0.314073359135, nan, -1.59805928254, -2.4494635435]
[right]: [1.2509771188, -0.314073359135, 0.0, -1.59805928254, -2.4494635435]
======================================================================
FAIL: test_groupby_with_timegrouper (pandas.tests.test_groupby.TestGroupBy)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tests\test_groupby.py", line 4020, in test_groupby_with_timegrouper
assert_frame_equal(result1, expected)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 950, in assert_frame_equal
'{0}, {1}'.format(right.shape[1], right.columns))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 757, in raise_assert_detail
raise AssertionError(msg)
AssertionError: DataFrame are different
DataFrame shape (number of columns) are different
[left]: 2, Index([u'Buyer', u'Quantity'], dtype='object')
[right]: 1, Index([u'Quantity'], dtype='object')
======================================================================
FAIL: test_series_groupby_nunique (pandas.tests.test_groupby.TestGroupBy)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tests\test_groupby.py", line 1641, in test_series_groupby_nunique
check_nunique(frame, ['jim'])
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tests\test_groupby.py", line 1631, in check_nunique
assert_series_equal(left, right)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 865, in assert_series_equal
assert_attr_equal('dtype', left, right)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 667, in assert_attr_equal
left_attr, right_attr)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 757, in raise_assert_detail
raise AssertionError(msg)
AssertionError: Attributes are different
Attribute "dtype" are different
[left]: int32
[right]: int64
======================================================================
FAIL: test_timegrouper_with_reg_groups (pandas.tests.test_groupby.TestGroupBy)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\tests\test_groupby.py", line 4188, in test_timegrouper_with_reg_groups
assert_frame_equal(result, expected)
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 950, in assert_frame_equal
'{0}, {1}'.format(right.shape[1], right.columns))
File "C:\Users\Jeff Reback\pandas\build\lib.win-amd64-2.7\pandas\util\testing.py", line 757, in raise_assert_detail
raise AssertionError(msg)
AssertionError: DataFrame are different
DataFrame shape (number of columns) are different
[left]: 3, Index([u'Branch', u'Buyer', u'Quantity'], dtype='object')
[right]: 1, Index([u'Quantity'], dtype='object')
----------------------------------------------------------------------
Ran 8031 tests in 565.959s
FAILED (SKIP=622, errors=19, failures=6)
[pandas] C:\Users\Jeff Reback\pandas>