polars.DataFrame.fill_nan

DataFrame.fill_nan(
    value: Expr | int | float | None,
) → DataFrame

Fill floating point NaN values by an Expression evaluation.

Parameters:

value

Value used to fill NaN values.

Returns:

DataFrame

DataFrame with NaN values replaced by the given value.

See also

fill_null

Notes

A NaN value is not the same as a null value. To fill null values, use fill_null().

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [1.5, 2, float("nan"), 4],
...         "b": [0.5, 4, float("nan"), 13],
...     }
... )
>>> df.fill_nan(99)
shape: (4, 2)
┌──────┬──────┐
│ a    ┆ b    │
│ ---  ┆ ---  │
│ f64  ┆ f64  │
╞══════╪══════╡
│ 1.5  ┆ 0.5  │
│ 2.0  ┆ 4.0  │
│ 99.0 ┆ 99.0 │
│ 4.0  ┆ 13.0 │
└──────┴──────┘