polars.any#

polars.any(*names: str, ignore_nulls: bool = True) → Expr | bool | None[source]#

Evaluate a bitwise OR operation.

Syntactic sugar for col(names).any().

Parameters:

*names

Name(s) of the columns to use in the aggregation.

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.

See also

any_horizontal

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [True, False, True],
...         "b": [False, False, False],
...     }
... )
>>> df.select(pl.any("a"))
shape: (1, 1)
┌──────┐
│ a    │
│ ---  │
│ bool │
╞══════╡
│ true │
└──────┘