parameters: (self, i=-2, j=-1)
return_statement: return MultiIndex(levels=new_levels, codes=new_codes,
                            names=new_names, verify_integrity=False)
docstring: Swap level i with level j.
  
          Calling this method does not change the ordering of the values.
  
          Parameters
          ----------
          i : int, str, default -2
              First level of index to be swapped. Can pass level name as string.
              Type of parameters can be mixed.
          j : int, str, default -1
              Second level of index to be swapped. Can pass level name as string.
              Type of parameters can be mixed.
  
          Returns
          -------
          MultiIndex
              A new MultiIndex
  
          .. versionchanged:: 0.18.1
  
             The indexes ``i`` and ``j`` are now optional, and default to
             the two innermost levels of the index.
  
          See Also
          --------
          Series.swaplevel : Swap levels i and j in a MultiIndex.
          Dataframe.swaplevel : Swap levels i and j in a MultiIndex on a
              particular axis.
  
          Examples
          --------
          >>> mi = pd.MultiIndex(levels=[['a', 'b'], ['bb', 'aa']],
          ...                    codes=[[0, 0, 1, 1], [0, 1, 0, 1]])
          >>> mi
          MultiIndex(levels=[['a', 'b'], ['bb', 'aa']],
                     codes=[[0, 0, 1, 1], [0, 1, 0, 1]])
          >>> mi.swaplevel(0, 1)
          MultiIndex(levels=[['bb', 'aa'], ['a', 'b']],
                     codes=[[0, 1, 0, 1], [0, 0, 1, 1]])
docstring_summary: Swap level i with level j.
docstring_tokens: Swap level i with level j .
function: def swaplevel(self, i=-2, j=-1):
          """
          Swap level i with level j.
  
          Calling this method does not change the ordering of the values.
  
          Parameters
          ----------
          i : int, str, default -2
              First level of index to be swapped. Can pass level name as string.
              Type of parameters can be mixed.
          j : int, str, default -1
              Second level of index to be swapped. Can pass level name as string.
              Type of parameters can be mixed.
  
          Returns
          -------
          MultiIndex
              A new MultiIndex
  
          .. versionchanged:: 0.18.1
  
             The indexes ``i`` and ``j`` are now optional, and default to
             the two innermost levels of the index.
  
          See Also
          --------
          Series.swaplevel : Swap levels i and j in a MultiIndex.
          Dataframe.swaplevel : Swap levels i and j in a MultiIndex on a
              particular axis.
  
          Examples
          --------
          >>> mi = pd.MultiIndex(levels=[['a', 'b'], ['bb', 'aa']],
          ...                    codes=[[0, 0, 1, 1], [0, 1, 0, 1]])
          >>> mi
          MultiIndex(levels=[['a', 'b'], ['bb', 'aa']],
                     codes=[[0, 0, 1, 1], [0, 1, 0, 1]])
          >>> mi.swaplevel(0, 1)
          MultiIndex(levels=[['bb', 'aa'], ['a', 'b']],
                     codes=[[0, 1, 0, 1], [0, 0, 1, 1]])
          """
          new_levels = list(self.levels)
          new_codes = list(self.codes)
          new_names = list(self.names)
  
          i = self._get_level_number(i)
          j = self._get_level_number(j)
  
          new_levels[i], new_levels[j] = new_levels[j], new_levels[i]
          new_codes[i], new_codes[j] = new_codes[j], new_codes[i]
          new_names[i], new_names[j] = new_names[j], new_names[i]
  
          return MultiIndex(levels=new_levels, codes=new_codes,
                            names=new_names, verify_integrity=False)
function_tokens: def swaplevel ( self , i = - 2 , j = - 1 ) : new_levels = list ( self . levels ) new_codes = list ( self . codes ) new_names = list ( self . names ) i = self . _get_level_number ( i ) j = self . _get_level_number ( j ) new_levels [ i ] , new_levels [ j ] = new_levels [ j ] , new_levels [ i ] new_codes [ i ] , new_codes [ j ] = new_codes [ j ] , new_codes [ i ] new_names [ i ] , new_names [ j ] = new_names [ j ] , new_names [ i ] return MultiIndex ( levels = new_levels , codes = new_codes , names = new_names , verify_integrity = False )