pandas.DataFrame.sort_index

DataFrame.sort_index(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 : index, columns to direct sorting 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 : boolean, 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’ first puts NaNs at the beginning, 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