pandas.DataFrame.sort_index

DataFrame.sort_index(axis=0, by=None, ascending=True, inplace=False, kind='quicksort', na_position='last')

Sort DataFrame either by labels (along either axis) or by the values in a column

Parameters:

axis : {0 or ‘index’, 1 or ‘columns’}, default 0

Sort index/rows versus columns

by : object

Column name(s) in frame. Accepts a column name or a list for a nested sort. A tuple will be interpreted as the levels of a multi-index.

ascending : boolean or list, default True

Sort ascending vs. descending. Specify list for multiple sort orders

inplace : boolean, default False

Sort the DataFrame without creating a new instance

na_position : {‘first’, ‘last’} (optional, default=’last’)

‘first’ puts NaNs at the beginning ‘last’ puts NaNs at the end

kind : {‘quicksort’, ‘mergesort’, ‘heapsort’}, optional

This option is only applied when sorting on a single column or label.

Returns:

sorted : DataFrame

Examples

>>> result = df.sort_index(by=['A', 'B'], ascending=[True, False])