daft.functions.not_null#

def not_null(expr: Expression) -> Expression:
    """Checks if values in the Expression are not Null (a special value indicating missing data).

    Returns:
        Expression (Boolean Expression): expression indicating whether values are not missing

    Examples:
        >>> import daft
        >>> from daft.functions import not_null
        >>>
        >>> df = daft.from_pydict({"x": [1.0, None, float("nan")]})
        >>> df = df.select(not_null(df["x"]))
        >>> df.collect()
        ╭───────╮
        │ x     │
        │ ---   │
        │ Bool  │
        ╞═══════╡
        │ true  │
        ├╌╌╌╌╌╌╌┤
        │ false │
        ├╌╌╌╌╌╌╌┤
        │ true  │
        ╰───────╯
        <BLANKLINE>
        (Showing first 3 of 3 rows)

    """
    expr = Expression._to_expression(expr)
    return Expression._from_pyexpr(expr._expr.not_null())