polars.Series.arr.any#

Series.arr.any(*, ignore_nulls: bool = True) → Series[source]#

Evaluate whether any boolean value is true for every subarray.

Parameters:

ignore_nulls

If set to True (default), null values are ignored. If there are no non-null values, the output is False.
If set to False, Kleene logic is used to deal with nulls: if the column contains any null values and no True values, the output is null.

Returns:

Series: Series of data type Boolean.

Examples

>>> s = pl.Series(
...     [[True, True], [False, True], [False, False], [None, None], None],
...     dtype=pl.Array(pl.Boolean, 2),
... )
>>> s.arr.any()
shape: (5,)
Series: '' [bool]
[
    true
    true
    false
    false
    null
]