pyspark.pandas.Series.argsort#
- Series.argsort()[source]#
Return the integer indices that would sort the Series values. Unlike pandas, the index order is not preserved in the result.
- Returns
- Series
Positions of values within the sort order with -1 indicating nan values.
Examples
>>> psser = ps.Series([3, 3, 4, 1, 6, 2, 3, 7, 8, 7, 10]) >>> psser 0 3 1 3 2 4 3 1 4 6 5 2 6 3 7 7 8 8 9 7 10 10 dtype: int64
>>> psser.argsort().sort_index() 0 3 1 5 2 0 3 1 4 6 5 2 6 4 7 7 8 9 9 8 10 10 dtype: int64