pandas.DataFrame.sort_index

DataFrame.sort_index(self, axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True, by=None) [source]

Sort object by labels (along an axis).

Parameters:

axis : {0 or ‘index’, 1 or ‘columns’}, default 0 The axis along which to sort. The value 0 identifies the rows, and 1 identifies the columns. level : int or level name or list of ints or list of level names If not None, sort on values in specified index level(s). ascending : bool, default True Sort ascending vs. descending. inplace : bool, default False If True, perform operation in-place. kind : {‘quicksort’, ‘mergesort’, ‘heapsort’}, default ‘quicksort’ Choice of sorting algorithm. See also ndarray.np.sort for more information. mergesort is the only stable algorithm. For DataFrames, this option is only applied when sorting on a single column or label. na_position : {‘first’, ‘last’}, default ‘last’ Puts NaNs at the beginning if first; last puts NaNs at the end. Not implemented for MultiIndex. sort_remaining : bool, default True If True and sorting by level and index is multilevel, sort by other levels too (in order) after sorting by specified level.

Returns:

sorted_obj : DataFrame or None DataFrame with sorted index if inplace=False, None otherwise.