polars.Series.arr.eval#

Series.arr.eval(expr: Expr, *, as_list: bool = False) → Series[source]#

Run any polars expression against the arrays’ elements.

Parameters:

expr: Expression to run. Note that you can select an element with pl.element()
as_list: Collect the resulting data as a list. This allows for expressions which output a variable amount of data.

Examples

>>> s = pl.Series("a", [[1, 4], [8, 5], [3, 2]], pl.Array(pl.Int64, 2))
>>> s.arr.eval(pl.element().rank())
shape: (3,)
Series: 'a' [array[f64, 2]]
[
    [1.0, 2.0]
    [2.0, 1.0]
    [2.0, 1.0]
]