polars.all_horizontal#

polars.all_horizontal(*exprs: IntoExpr | Iterable[IntoExpr]) → Expr[source]#

Compute the bitwise AND horizontally across columns.

Parameters:

*exprs: Column(s) to use in the aggregation. Accepts expression input. Strings are parsed as column names, other non-expression inputs are parsed as literals.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [False, False, True, True],
...         "b": [False, True, None, True],
...         "c": ["w", "x", "y", "z"],
...     }
... )
>>> df.with_columns(pl.all_horizontal("a", "b"))
shape: (4, 4)
┌───────┬───────┬─────┬───────┐
│ a     ┆ b     ┆ c   ┆ all   │
│ ---   ┆ ---   ┆ --- ┆ ---   │
│ bool  ┆ bool  ┆ str ┆ bool  │
╞═══════╪═══════╪═════╪═══════╡
│ false ┆ false ┆ w   ┆ false │
│ false ┆ true  ┆ x   ┆ false │
│ true  ┆ null  ┆ y   ┆ null  │
│ true  ┆ true  ┆ z   ┆ true  │
└───────┴───────┴─────┴───────┘