def _aggregate_series_fast(self, obj: Series, func: F) -> npt.NDArray[np.object_]:
# At this point we have already checked that
# - obj.index is not a MultiIndex
# - obj is backed by an ndarray, not ExtensionArray
# - len(obj) > 0
func = com.is_builtin_func(func)
ids, _, ngroups = self.group_info
# avoids object / Series creation overhead
indexer = get_group_index_sorter(ids, ngroups)
obj = obj.take(indexer)
ids = ids.take(indexer)
sgrouper = libreduction.SeriesGrouper(obj, func, ids, ngroups)
result, _ = sgrouper.get_result()
return result
def _aggregate_series_fast(self, obj: Series, func: F):
# At this point we have already checked that
# - obj.index is not a MultiIndex
# - obj is backed by an ndarray, not ExtensionArray
# - len(obj) > 0
# - ngroups != 0
func = com.is_builtin_func(func)
group_index, _, ngroups = self.group_info
# avoids object / Series creation overhead
indexer = get_group_index_sorter(group_index, ngroups)
obj = obj.take(indexer)
group_index = group_index.take(indexer)
grouper = libreduction.SeriesGrouper(obj, func, group_index, ngroups)
result, counts = grouper.get_result()
return result, counts
