polars.Series.list.all

Series.list.all() → Expr

Evaluate whether all boolean values in a list are true.

Examples

>>> df = pl.DataFrame(
...     {"a": [[True, True], [False, True], [False, False], [None], [], None]}
... )
>>> df.select(pl.col("a").list.all())
shape: (6, 1)
┌───────┐
│ a     │
│ ---   │
│ bool  │
╞═══════╡
│ true  │
│ false │
│ false │
│ false │
│ true  │
│ null  │
└───────┘