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# 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, 1} 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])

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