polars.Expr.arr.last

Expr.arr.last() → Expr

Get the last value of the sub-arrays.

Examples

>>> df = pl.DataFrame(
...     {"a": [[1, 2, 3], [4, 5, 6], [7, 8, 9]]},
...     schema={"a": pl.Array(pl.Int32, 3)},
... )
>>> df.with_columns(last=pl.col("a").arr.last())
shape: (3, 2)
┌───────────────┬──────┐
│ a             ┆ last │
│ ---           ┆ ---  │
│ array[i32, 3] ┆ i32  │
╞═══════════════╪══════╡
│ [1, 2, 3]     ┆ 3    │
│ [4, 5, 6]     ┆ 6    │
│ [7, 8, 9]     ┆ 9    │
└───────────────┴──────┘