daft.functions.fill_nan#

def fill_nan(expr: Expression, fill_value: Expression) -> Expression:
    """Fills NaN values in the Expression with the provided fill_value.

    Returns:
        Expression: Expression with Nan values filled with the provided fill_value

    Examples:
        >>> import daft
        >>> from daft.functions import fill_nan
        >>>
        >>> df = daft.from_pydict({"data": [1.1, float("nan"), 3.3]})
        >>> df = df.with_column("filled", fill_nan(df["data"], 2.2))
        >>> df.show()
        ╭─────────┬─────────╮
        │ data    ┆ filled  │
        │ ---     ┆ ---     │
        │ Float64 ┆ Float64 │
        ╞═════════╪═════════╡
        │ 1.1     ┆ 1.1     │
        ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤
        │ NaN     ┆ 2.2     │
        ├╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌┤
        │ 3.3     ┆ 3.3     │
        ╰─────────┴─────────╯
        <BLANKLINE>
        (Showing first 3 of 3 rows)

    """
    return Expression._call_builtin_scalar_fn("fill_nan", expr, fill_value)