Closed
Description
TZ-naive is fine.
In [41]: pd.Series(dtype='datetime64[ns]').reindex([0, 1])
Out[41]:
0 NaT
1 NaT
dtype: datetime64[ns]
In [42]: pd.Series(dtype='datetime64[ns, UTC]').reindex([0, 1])---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-42-a882503115f7> in <module>()
----> 1 pd.Series(dtype='datetime64[ns, UTC]').reindex([0, 1])
~/sandbox/pandas/pandas/core/series.py in reindex(self, index, **kwargs)
3309 @Appender(generic._shared_docs['reindex'] % _shared_doc_kwargs)
3310 def reindex(self, index=None, **kwargs):
-> 3311 return super(Series, self).reindex(index=index, **kwargs)
3312
3313 def drop(self, labels=None, axis=0, index=None, columns=None,
~/sandbox/pandas/pandas/core/generic.py in reindex(self, *args, **kwargs)
3691 # perform the reindex on the axes
3692 return self._reindex_axes(axes, level, limit, tolerance, method,
-> 3693 fill_value, copy).__finalize__(self)
3694
3695 def _reindex_axes(self, axes, level, limit, tolerance, method, fill_value,
~/sandbox/pandas/pandas/core/generic.py in _reindex_axes(self, axes, level, limit, tolerance, method, fill_value, copy)
3709 obj = obj._reindex_with_indexers({axis: [new_index, indexer]},
3710 fill_value=fill_value,
-> 3711 copy=copy, allow_dups=False)
3712
3713 return obj
~/sandbox/pandas/pandas/core/generic.py in _reindex_with_indexers(self, reindexers, fill_value, copy, allow_dups)
3812 fill_value=fill_value,
3813 allow_dups=allow_dups,
-> 3814 copy=copy)
3815
3816 if copy and new_data is self._data:
~/sandbox/pandas/pandas/core/internals.py in reindex_indexer(self, new_axis, indexer, axis, fill_value, allow_dups, copy)
4419 if axis == 0:
4420 new_blocks = self._slice_take_blocks_ax0(indexer,
-> 4421 fill_tuple=(fill_value,))
4422 else:
4423 new_blocks = [blk.take_nd(indexer, axis=axis, fill_tuple=(
~/sandbox/pandas/pandas/core/internals.py in _slice_take_blocks_ax0(self, slice_or_indexer, fill_tuple)
4458 return [blk.take_nd(slobj, axis=0,
4459 new_mgr_locs=slice(0, sllen),
-> 4460 fill_tuple=fill_tuple)]
4461
4462 if sl_type in ('slice', 'mask'):
~/sandbox/pandas/pandas/core/internals.py in take_nd(self, indexer, axis, new_mgr_locs, fill_tuple)
1256 fill_value = fill_tuple[0]
1257 new_values = algos.take_nd(values, indexer, axis=axis,
-> 1258 allow_fill=True, fill_value=fill_value)
1259
1260 if new_mgr_locs is None:
~/sandbox/pandas/pandas/core/algorithms.py in take_nd(arr, indexer, axis, out, fill_value, mask_info, allow_fill)
1580 return arr.take(indexer, fill_value=fill_value, allow_fill=allow_fill)
1581 elif is_datetimetz(arr):
-> 1582 return arr.take(indexer, fill_value=fill_value, allow_fill=allow_fill)
1583 elif is_interval_dtype(arr):
1584 return arr.take(indexer, fill_value=fill_value, allow_fill=allow_fill)
~/sandbox/pandas/pandas/core/indexes/datetimelike.py in take(self, indices, axis, allow_fill, fill_value, **kwargs)
497 allow_fill=allow_fill,
498 fill_value=fill_value,
--> 499 na_value=iNaT)
500
501 # keep freq in PeriodIndex, reset otherwise
~/sandbox/pandas/pandas/core/indexes/base.py in _assert_take_fillable(self, values, indices, allow_fill, fill_value, na_value)
2178 'all indices must be >= -1')
2179 raise ValueError(msg)
-> 2180 taken = values.take(indices)
2181 mask = indices == -1
2182 if mask.any():
IndexError: cannot do a non-empty take from an empty axes.