parameters: (self, return_indexer=False, ascending=True)
docstring: Return sorted copy of Index.
docstring_summary: Return sorted copy of Index.
docstring_tokens: Return sorted copy of Index .
function: def sort_values(self, return_indexer=False, ascending=True):
          """
          Return sorted copy of Index.
          """
          if return_indexer:
              _as = self.argsort()
              if not ascending:
                  _as = _as[::-1]
              sorted_index = self.take(_as)
              return sorted_index, _as
          else:
              sorted_values = np.sort(self._ndarray_values)
              attribs = self._get_attributes_dict()
              freq = attribs['freq']
  
              if freq is not None and not is_period_dtype(self):
                  if freq.n > 0 and not ascending:
                      freq = freq * -1
                  elif freq.n < 0 and ascending:
                      freq = freq * -1
              attribs['freq'] = freq
  
              if not ascending:
                  sorted_values = sorted_values[::-1]
  
              return self._simple_new(sorted_values, **attribs)
function_tokens: def sort_values ( self , return_indexer = False , ascending = True ) : if return_indexer : _as = self . argsort ( ) if not ascending : _as = _as [ : : - 1 ] sorted_index = self . take ( _as ) return sorted_index , _as else : sorted_values = np . sort ( self . _ndarray_values ) attribs = self . _get_attributes_dict ( ) freq = attribs [ 'freq' ] if freq is not None and not is_period_dtype ( self ) : if freq . n > 0 and not ascending : freq = freq * - 1 elif freq . n < 0 and ascending : freq = freq * - 1 attribs [ 'freq' ] = freq if not ascending : sorted_values = sorted_values [ : : - 1 ] return self . _simple_new ( sorted_values , * * attribs )