Closed
Description
>>> import pandas as pd
>>> pd.DataFrame({'x': pd.Series(['a', 'b', 'c'])}, index=pd.date_range('20000101', periods=3))
x
2000-01-01 NaN
2000-01-02 NaN
2000-01-03 NaN
>>> df = pd.DataFrame({'x': pd.Series(pd.Categorical(['a', 'b', 'c']))}, index=pd.date_range('20000101', periods=3))
>>> df
<repr(<pandas.core.frame.DataFrame at 0x107f09f50>) failed: IndexError: Out of bounds on buffer access (axis 0)>
>>> df.values
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-13-e8bb9a30bd4f> in <module>()
----> 1 df.values
/Users/shoyer/dev/pandas/pandas/core/generic.py in values(self)
2071 int32.
2072 """
-> 2073 return self.as_matrix()
2074
2075 @property
/Users/shoyer/dev/pandas/pandas/core/generic.py in as_matrix(self, columns)
2053 self._consolidate_inplace()
2054 if self._AXIS_REVERSED:
-> 2055 return self._data.as_matrix(columns).T
2056 return self._data.as_matrix(columns)
2057
/Users/shoyer/dev/pandas/pandas/core/internals.py in as_matrix(self, items)
2676
2677 if self._is_single_block or not self.is_mixed_type:
-> 2678 return mgr.blocks[0].get_values()
2679 else:
2680 return mgr._interleave()
/Users/shoyer/dev/pandas/pandas/core/internals.py in get_values(self, dtype)
1079 def get_values(self, dtype=None):
1080 """ need to to_dense myself (and always return a ndim sized object) """
-> 1081 values = self.values.to_dense()
1082 if values.ndim == self.ndim - 1:
1083 values = values.reshape((1,) + values.shape)
/Users/shoyer/dev/pandas/pandas/core/categorical.py in to_dense(self)
683 def to_dense(self):
684 """ Return my 'dense' repr """
--> 685 return np.asarray(self)
686
687 def fillna(self, fill_value=None, method=None, limit=None, **kwargs):
/Users/shoyer/miniconda/envs/pandas-dev/lib/python2.7/site-packages/numpy/core/numeric.pyc in asarray(a, dtype, order)
458
459 """
--> 460 return array(a, dtype, copy=False, order=order)
461
462 def asanyarray(a, dtype=None, order=None):
/Users/shoyer/dev/pandas/pandas/core/categorical.py in __array__(self, dtype)
484 dtype as categorical.levels.dtype
485 """
--> 486 ret = com.take_1d(self.levels.values, self._codes)
487 if dtype and dtype != self.levels.dtype:
488 return np.asarray(ret, dtype)
/Users/shoyer/dev/pandas/pandas/core/common.py in take_nd(arr, indexer, axis, out, fill_value, mask_info, allow_fill)
805 axis=axis, mask_info=mask_info)
806
--> 807 func(arr, indexer, out, fill_value)
808
809 if flip_order:
/Users/shoyer/dev/pandas/pandas/algos.so in pandas.algos.take_1d_object_object (pandas/algos.c:78943)()
IndexError: Out of bounds on buffer access (axis 0)
This is on master.