maxframe.dataframe.Series.droplevel

Series.droplevel(level, axis=0)

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

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) –

  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 with requested index / column level(s) removed.

Return type:

Series/DataFrame

Examples

>>> import maxframe.dataframe as md
>>> df = md.DataFrame([
...     [1, 2, 3, 4],
...     [5, 6, 7, 8],
...     [9, 10, 11, 12]
... ]).set_index([0, 1]).rename_axis(['a', 'b'])

>>> df.columns = md.MultiIndex.from_tuples([
...     ('c', 'e'), ('d', 'f')
... ], names=['level_1', 'level_2'])

>>> df.execute()
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').execute()
level_1   c   d
level_2   e   f
b
2        3   4
6        7   8
10      11  12

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