code: def droplevel(self, level, axis=0):
          
          labels = self._get_axis(axis)
          new_labels = labels.droplevel(level)
          result = self.set_axis(new_labels, axis=axis, inplace=False)
          return result
docs: Return DataFrame with requested index / column level(s) removed.
  
          .. versionadded:: 0.24.0
  
          Parameters
          ----------
          level : int, str, or list-like
              If a string is given, must be the name of a level
              If list-like, elements must be names or positional indexes
              of levels.
  
          axis : {0 or 'index', 1 or 'columns'}, default 0
  
          Returns
          -------
          DataFrame.droplevel()
  
          Examples
          --------
          >>> df = pd.DataFrame([
          ...     [1, 2, 3, 4],
          ...     [5, 6, 7, 8],
          ...     [9, 10, 11, 12]
          ... ]).set_index([0, 1]).rename_axis(['a', 'b'])
  
          >>> df.columns = pd.MultiIndex.from_tuples([
          ...    ('c', 'e'), ('d', 'f')
          ... ], names=['level_1', 'level_2'])
  
          >>> df
          level_1   c   d
          level_2   e   f
          a b
          1 2      3   4
          5 6      7   8
          9 10    11  12
  
          >>> df.droplevel('a')
          level_1   c   d
          level_2   e   f
          b
          2        3   4
          6        7   8
          10      11  12
  
          >>> df.droplevel('level2', axis=1)
          level_1   c   d
          a b
          1 2      3   4
          5 6      7   8
          9 10    11  12