pyspark.pandas.Series.droplevel¶

Series.droplevel(level: Union[int, Any, Tuple[Any, …], List[Union[int, Any, Tuple[Any, …]]]]) → pyspark.pandas.series.Series[source]¶

Return Series with requested index 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.

Returns

Series: Series with requested index level(s) removed.

Examples

>>> psser = ps.Series(
...     [1, 2, 3],
...     index=pd.MultiIndex.from_tuples(
...         [("x", "a"), ("x", "b"), ("y", "c")], names=["level_1", "level_2"]
...     ),
... )
>>> psser
level_1  level_2
x        a          1
         b          2
y        c          3
dtype: int64

Removing specific index level by level

>>> psser.droplevel(0)
level_2
a    1
b    2
c    3
dtype: int64

Removing specific index level by name

>>> psser.droplevel("level_2")
level_1
x    1
x    2
y    3
dtype: int64

pyspark.pandas.Series.drop pyspark.pandas.Series.drop_duplicates