pyspark.pandas.DataFrame.droplevel¶
-
DataFrame.droplevel(level: Union[int, Any, Tuple[Any, …], List[Union[int, Any, Tuple[Any, …]]]], axis: Union[int, str] = 0) → pyspark.pandas.frame.DataFrame[source]¶ Return 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
- Returns
- DataFrame with requested index / column level(s) removed.
Examples
>>> df = ps.DataFrame( ... [[3, 4], [7, 8], [11, 12]], ... index=pd.MultiIndex.from_tuples([(1, 2), (5, 6), (9, 10)], names=["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