daft.functions.bool_or#

def bool_or(expr: Expression) -> Expression:
    """Calculates the boolean OR of all values in the expression.

    For each group:
    - Returns True if any non-null value is True
    - Returns False if all non-null values are False
    - Returns null if the group is empty or contains only null values

    Examples:
        >>> import daft
        >>> from daft.functions import bool_or
        >>> df = daft.from_pydict({"a": [False, None, False], "b": [False, True, None], "c": [None, None, None]})
        >>> df.agg(bool_or(df["a"]), bool_or(df["b"]), bool_or(df["c"])).show()
        ╭───────┬──────┬──────╮
        │ a     ┆ b    ┆ c    │
        │ ---   ┆ ---  ┆ ---  │
        │ Bool  ┆ Bool ┆ Bool │
        ╞═══════╪══════╪══════╡
        │ false ┆ true ┆ None │
        ╰───────┴──────┴──────╯
        <BLANKLINE>
        (Showing first 1 of 1 rows)
    """
    return Expression._from_pyexpr(expr._expr.bool_or())