# pyspark.pandas.Series.argsort¶

Series.argsort() → pyspark.pandas.series.Series

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