polars.Expr.bitwise_and

Expr.bitwise_and() → Expr

Perform an aggregation of bitwise ANDs.

Examples

>>> df = pl.DataFrame({"n": [-1, 0, 1]})
>>> df.select(pl.col("n").bitwise_and())
shape: (1, 1)
┌─────┐
│ n   │
│ --- │
│ i64 │
╞═════╡
│ 0   │
└─────┘
>>> df = pl.DataFrame(
...     {"grouper": ["a", "a", "a", "b", "b"], "n": [-1, 0, 1, -1, 1]}
... )
>>> df.group_by("grouper", maintain_order=True).agg(pl.col("n").bitwise_and())
shape: (2, 2)
┌─────────┬─────┐
│ grouper ┆ n   │
│ ---     ┆ --- │
│ str     ┆ i64 │
╞═════════╪═════╡
│ a       ┆ 0   │
│ b       ┆ 1   │
└─────────┴─────┘