polars.Expr.arr.all

Expr.arr.all() → Expr

Evaluate whether all boolean values are true for every subarray.

Examples

>>> df = pl.DataFrame(
...     data={
...         "a": [
...             [True, True],
...             [False, True],
...             [False, False],
...             [None, None],
...             None,
...         ]
...     },
...     schema={"a": pl.Array(pl.Boolean, 2)},
... )
>>> df.with_columns(all=pl.col("a").arr.all())
shape: (5, 2)
┌────────────────┬───────┐
│ a              ┆ all   │
│ ---            ┆ ---   │
│ array[bool, 2] ┆ bool  │
╞════════════════╪═══════╡
│ [true, true]   ┆ true  │
│ [false, true]  ┆ false │
│ [false, false] ┆ false │
│ [null, null]   ┆ true  │
│ null           ┆ null  │
└────────────────┴───────┘