parameters: (
          self,
          axis=0,
          ascending=True,
          inplace=False,
          kind="quicksort",
          na_position="last",
          ignore_index=False,
      )
return_statement: return super().sort_values(
              by=self.name,
              axis=axis,
              ascending=ascending,
              inplace=inplace,
              kind=kind,
              na_position=na_position,
              ignore_index=ignore_index,
          )
docstring: Sort by the values along either axis.
  
          Parameters
          ----------
          ascending : bool or list of bool, default True
              Sort ascending vs. descending. Specify list for multiple sort
              orders. If this is a list of bools, must match the length of the
              by.
          na_position : {‘first’, ‘last’}, default ‘last’
              'first' puts nulls at the beginning, 'last' puts nulls at the end
          ignore_index : bool, default False
              If True, index will not be sorted.
  
          Returns
          -------
          Series : Series with sorted values.
  
          Notes
          -----
          Difference from pandas:
            * Support axis='index' only.
            * Not supporting: inplace, kind
  
          Examples
          --------
          >>> import cudf
          >>> s = cudf.Series([1, 5, 2, 4, 3])
          >>> s.sort_values()
          0    1
          2    2
          4    3
          3    4
          1    5
          dtype: int64
docstring_summary: Sort by the values along either axis.
docstring_tokens: Sort by the values along either axis .
function: def sort_values(
          self,
          axis=0,
          ascending=True,
          inplace=False,
          kind="quicksort",
          na_position="last",
          ignore_index=False,
      ):
          """Sort by the values along either axis.
  
          Parameters
          ----------
          ascending : bool or list of bool, default True
              Sort ascending vs. descending. Specify list for multiple sort
              orders. If this is a list of bools, must match the length of the
              by.
          na_position : {‘first’, ‘last’}, default ‘last’
              'first' puts nulls at the beginning, 'last' puts nulls at the end
          ignore_index : bool, default False
              If True, index will not be sorted.
  
          Returns
          -------
          Series : Series with sorted values.
  
          Notes
          -----
          Difference from pandas:
            * Support axis='index' only.
            * Not supporting: inplace, kind
  
          Examples
          --------
          >>> import cudf
          >>> s = cudf.Series([1, 5, 2, 4, 3])
          >>> s.sort_values()
          0    1
          2    2
          4    3
          3    4
          1    5
          dtype: int64
          """
          return super().sort_values(
              by=self.name,
              axis=axis,
              ascending=ascending,
              inplace=inplace,
              kind=kind,
              na_position=na_position,
              ignore_index=ignore_index,
          )
function_tokens: def sort_values ( self , axis = 0 , ascending = True , inplace = False , kind = "quicksort" , na_position = "last" , ignore_index = False , ) : return super ( ) . sort_values ( by = self . name , axis = axis , ascending = ascending , inplace = inplace , kind = kind , na_position = na_position , ignore_index = ignore_index , )