polars.Expr.arr.last#
- Expr.arr.last() Expr [source]#
Get the last value of the sub-arrays.
Examples
>>> df = pl.DataFrame( ... {"a": [[1, 2, 3], [4, 5, 6], [7, 9, 8]]}, ... 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, 9, 8] ┆ 8 │ └───────────────┴──────┘