Would it be possible to cast an expression into a specific datatype without casting the source columns? Consider the following frame: df = pl.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}, schema={'A': pl.UInt8, 'B': pl.UInt8}) ┌─────┬─────┐ │ A ┆ B │ │ --- ┆ --- │ │ u8 ┆ u8 │ ╞═════╪═════╡ │ 1 ┆ 4 │ │ 2 ┆ 5 │ │ 3 ┆ 6 │ └─────┴─────┘ Now using an expression: df = df.with_columns((pl.col("A") - pl.col("B")).alias("C")) ┌─────┬─────┬─────┐ │ A ┆ B ┆ C │ │ --- ┆ --- ┆ --- │ │ u8 ┆ u8 ┆ u8 │ ╞═════╪═════╪═════╡ │ 1 ┆ 4 ┆ 253 │ │ 2 ┆ 5 ┆ 253 │ │ 3 ┆ 6 ┆ 253 │ └─────┴─────┴─────┘ This is obviously correct in comp-sci terms but not practical. Can I only resolve this by first casting "A" and "B" to a signed integer or is there a better/more concise way? Continue reading...