pyspark.pandas.Series.swaplevel¶
-
Series.swaplevel(i: Union[int, Any, Tuple[Any, …]] = - 2, j: Union[int, Any, Tuple[Any, …]] = - 1, copy: bool = True) → pyspark.pandas.series.Series[source]¶ Swap levels i and j in a MultiIndex. Default is to swap the two innermost levels of the index.
- Parameters
- i, jint, str
Level of the indices to be swapped. Can pass level name as string.
- copybool, default True
Whether to copy underlying data. Must be True.
- Returns
- Series
Series with levels swapped in MultiIndex.
Examples
>>> midx = pd.MultiIndex.from_arrays([['a', 'b'], [1, 2]], names = ['word', 'number']) >>> midx MultiIndex([('a', 1), ('b', 2)], names=['word', 'number']) >>> psser = ps.Series(['x', 'y'], index=midx) >>> psser word number a 1 x b 2 y dtype: object >>> psser.swaplevel() number word 1 a x 2 b y dtype: object >>> psser.swaplevel(0, 1) number word 1 a x 2 b y dtype: object >>> psser.swaplevel('number', 'word') number word 1 a x 2 b y dtype: object