polars.Expr.arr.reverse

Expr.arr.reverse() → Expr

Reverse the arrays in this column.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [[3, 2, 1], [9, 1, 2]],
...     },
...     schema={"a": pl.Array(pl.Int64, 3)},
... )
>>> df.with_columns(reverse=pl.col("a").arr.reverse())
shape: (2, 2)
┌───────────────┬───────────────┐
│ a             ┆ reverse       │
│ ---           ┆ ---           │
│ array[i64, 3] ┆ array[i64, 3] │
╞═══════════════╪═══════════════╡
│ [3, 2, 1]     ┆ [1, 2, 3]     │
│ [9, 1, 2]     ┆ [2, 1, 9]     │
└───────────────┴───────────────┘