daft.functions.bool_and#

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

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

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