polars.Expr.list.sort

Expr.list.sort(*, descending: bool = False, nulls_last: bool = False) → Expr

Sort the lists in this column.

Parameters:

descending

Sort in descending order.

nulls_last

Place null values last.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [[3, 2, 1], [9, 1, 2]],
...     }
... )
>>> df.with_columns(sort=pl.col("a").list.sort())
shape: (2, 2)
┌───────────┬───────────┐
│ a         ┆ sort      │
│ ---       ┆ ---       │
│ list[i64] ┆ list[i64] │
╞═══════════╪═══════════╡
│ [3, 2, 1] ┆ [1, 2, 3] │
│ [9, 1, 2] ┆ [1, 2, 9] │
└───────────┴───────────┘
>>> df.with_columns(sort=pl.col("a").list.sort(descending=True))
shape: (2, 2)
┌───────────┬───────────┐
│ a         ┆ sort      │
│ ---       ┆ ---       │
│ list[i64] ┆ list[i64] │
╞═══════════╪═══════════╡
│ [3, 2, 1] ┆ [3, 2, 1] │
│ [9, 1, 2] ┆ [9, 2, 1] │
└───────────┴───────────┘