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.

Notes

Kleene logic is used to deal with nulls: if the column contains any null values and no False values, the output is null.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [False, False, True, True, False, None],
...         "b": [False, True, True, None, None, None],
...         "c": ["u", "v", "w", "x", "y", "z"],
...     }
... )
>>> df.with_columns(all=pl.all_horizontal("a", "b"))
shape: (6, 4)
┌───────┬───────┬─────┬───────┐
│ a     ┆ b     ┆ c   ┆ all   │
│ ---   ┆ ---   ┆ --- ┆ ---   │
│ bool  ┆ bool  ┆ str ┆ bool  │
╞═══════╪═══════╪═════╪═══════╡
│ false ┆ false ┆ u   ┆ false │
│ false ┆ true  ┆ v   ┆ false │
│ true  ┆ true  ┆ w   ┆ true  │
│ true  ┆ null  ┆ x   ┆ null  │
│ false ┆ null  ┆ y   ┆ false │
│ null  ┆ null  ┆ z   ┆ null  │
└───────┴───────┴─────┴───────┘