polars.Expr.any#

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

Return whether any of the values in the column are True.

Only works on columns of data type Boolean.

Parameters:

ignore_nulls

Ignore null values (default).

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:

Expr: Expression of data type Boolean.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [True, False],
...         "b": [False, False],
...         "c": [None, False],
...     }
... )
>>> df.select(pl.col("*").any())
shape: (1, 3)
┌──────┬───────┬───────┐
│ a    ┆ b     ┆ c     │
│ ---  ┆ ---   ┆ ---   │
│ bool ┆ bool  ┆ bool  │
╞══════╪═══════╪═══════╡
│ true ┆ false ┆ false │
└──────┴───────┴───────┘

Enable Kleene logic by setting ignore_nulls=False.

>>> df.select(pl.col("*").any(ignore_nulls=False))
shape: (1, 3)
┌──────┬───────┬──────┐
│ a    ┆ b     ┆ c    │
│ ---  ┆ ---   ┆ ---  │
│ bool ┆ bool  ┆ bool │
╞══════╪═══════╪══════╡
│ true ┆ false ┆ null │
└──────┴───────┴──────┘