polars.Expr.cast#
- Expr.cast( ) Expr [source]#
Cast between data types.
- Parameters:
- dtype
DataType to cast to.
- strict
Raise if cast is invalid on rows after predicates are pushed down. If
False
, invalid casts will produce null values.- wrap_numerical
If True numeric casts wrap overflowing values instead of marking the cast as invalid.
Examples
>>> df = pl.DataFrame( ... { ... "a": [1, 2, 3], ... "b": ["4", "5", "6"], ... } ... ) >>> df.with_columns( ... pl.col("a").cast(pl.Float64), ... pl.col("b").cast(pl.Int32), ... ) shape: (3, 2) ┌─────┬─────┐ │ a ┆ b │ │ --- ┆ --- │ │ f64 ┆ i32 │ ╞═════╪═════╡ │ 1.0 ┆ 4 │ │ 2.0 ┆ 5 │ │ 3.0 ┆ 6 │ └─────┴─────┘