polars.DataFrame.hash_rows

DataFrame.hash_rows(
    seed: int = 0,
    seed_1: int | None = None,
    seed_2: int | None = None,
    seed_3: int | None = None,
) → Series

Hash and combine the rows in this DataFrame.

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 hash_rows does not guarantee stable results across different Polars versions. Its stability is only guaranteed within a single version.

Examples

>>> df = pl.DataFrame(
...     {
...         "foo": [1, None, 3, 4],
...         "ham": ["a", "b", None, "d"],
...     }
... )
>>> df.hash_rows(seed=42)  
shape: (4,)
Series: '' [u64]
[
    10783150408545073287
    1438741209321515184
    10047419486152048166
    2047317070637311557
]