polars.all#
- polars.all(name: str | Sequence[Expr] | Expr | None = None) Expr [source]#
Do one of two things.
function can do a columnwise or elementwise AND operation
a wildcard column selection
- Parameters:
- name
If given this function will apply a bitwise & on the columns.
Examples
Sum all columns
>>> df = pl.DataFrame( ... {"a": [1, 2, 3], "b": ["hello", "foo", "bar"], "c": [1, 1, 1]} ... ) >>> df.select(pl.all().sum()) shape: (1, 3) ┌─────┬──────┬─────┐ │ a ┆ b ┆ c │ │ --- ┆ --- ┆ --- │ │ i64 ┆ str ┆ i64 │ ╞═════╪══════╪═════╡ │ 6 ┆ null ┆ 3 │ └─────┴──────┴─────┘