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# pandas.DataFrame.sort

`DataFrame.``sort`(columns=None, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last')

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

  Parameters : | columns : 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 axis : {0, 1} Sort index/rows versus columns inplace : boolean, default False Sort the DataFrame without creating a new instance kind : {‘quicksort’, ‘mergesort’, ‘heapsort’}, optional This option is only applied when sorting on a single column or label. na_position : {‘first’, ‘last’} (optional, default=’last’) ‘first’ puts NaNs at the beginning ‘last’ puts NaNs at the end
  Returns : | sorted : DataFrame

  Examples

      >>> result = df.sort(['A', 'B'], ascending=[1, 0])

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