Empty Series[datetime64[ns, tz]].reindex fails · Issue #20869 · pandas-dev/pandas (original) (raw)

TZ-naive is fine.

IndexError Traceback (most recent call last) in () ----> 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.