polars.Expr.hash#

Expr.hash( seed: int = 0, seed_1: int | None = None, seed_2: int | None = None, seed_3: int | None = None, ) → Self[source]#

Hash the elements in the selection.

The hash value is of type UInt64.

Parameters:

seed: Random seed parameter. Defaults to 0.
seed_1: Random seed parameter. Defaults to seed if not set.
seed_2: Random seed parameter. Defaults to seed if not set.
seed_3: Random seed parameter. Defaults to seed if not set.

Notes

This implementation of rows() does not guarantee stable results across different Polars versions. Its stability is only guaranteed within a single version.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [1, 2, None],
...         "b": ["x", None, "z"],
...     }
... )
>>> df.with_columns(pl.all().hash(10, 20, 30, 40))  
shape: (3, 2)
┌──────────────────────┬──────────────────────┐
│ a                    ┆ b                    │
│ ---                  ┆ ---                  │
│ u64                  ┆ u64                  │
╞══════════════════════╪══════════════════════╡
│ 9774092659964970114  ┆ 13614470193936745724 │
│ 1101441246220388612  ┆ 11638928888656214026 │
│ 11638928888656214026 ┆ 13382926553367784577 │
└──────────────────────┴──────────────────────┘