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# pandas.DataFrame.droplevel

DataFrame.droplevel(level, axis=0)

  Return Series/DataFrame with requested index / column level(s) removed.

  Parameters:
    levelint, 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

      Axis along which the level(s) is removed:

      - 0 or ‘index’: remove level(s) in column.

      - 1 or ‘columns’: remove level(s) in row.

      For Series this parameter is unused and defaults to 0.

  Returns:
    Series/DataFrame

      Series/DataFrame with requested index / column level(s) removed.

  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('level_2', axis=1)
      level_1   c   d
      a b
      1 2      3   4
      5 6      7   8
      9 10    11  12