Column(s) to use in the aggregation. Accepts expression input. Strings are parsed as column names, other non-expression inputs are parsed as literals.
>>> const df = pl.DataFrame(
... {
... "a": [false, false, true, null],
... "b": [false, true, null, null],
... "c": ["w", "x", "y", "z"],
... }
... )
>>> df.withColumns(pl.anyHorizontal([pl.col("a"), pl.col("b")]))
shape: (4, 4)
┌───────┬───────┬─────┬───────┐
│ a ┆ b ┆ c ┆ any │
│ --- ┆ --- ┆ --- ┆ --- │
│ bool ┆ bool ┆ str ┆ bool │
╞═══════╪═══════╪═════╪═══════╡
│ false ┆ false ┆ w ┆ false │
│ false ┆ true ┆ x ┆ true │
│ true ┆ null ┆ y ┆ true │
│ null ┆ null ┆ z ┆ null │
└───────┴───────┴─────┴───────┘
Compute the bitwise OR horizontally across columns.