cudf.core.column.lists.ListMethods.sort_values#

ListMethods.sort_values(ascending: bool = True, inplace: bool = False, kind: str = 'quicksort', na_position: str = 'last', ignore_index: bool = False) → Series | Index[source]#

Sort each list by the values.

Sort the lists in ascending or descending order by some criterion.

Parameters:

ascendingbool, default True: If True, sort values in ascending order, otherwise descending.
na_position{‘first’, ‘last’}, default ‘last’: ‘first’ puts nulls at the beginning, ‘last’ puts nulls at the end.
ignore_indexbool, default False: If True, the resulting axis will be labeled 0, 1, …, n - 1.

Returns:

Series or Index with each list sorted

Examples

>>> s = cudf.Series([[4, 2, None, 9], [8, 8, 2], [2, 1]])
>>> s.list.sort_values(ascending=True, na_position="last")
0    [2.0, 4.0, 9.0, nan]
1         [2.0, 8.0, 8.0]
2              [1.0, 2.0]
dtype: list

Pandas Compatibility Note

pandas.Series.list.sort_values

This method does not exist in pandas but it can be run as:

>>> import pandas as pd
>>> s = pd.Series([[3, 2, 1], [2, 4, 3]])
>>> print(s.apply(sorted))
0    [1, 2, 3]
1    [2, 3, 4]
dtype: object