polars.DataFrame.is_unique

DataFrame.is_unique() → polars.internals.series.Series

Get a mask of all unique rows in this DataFrame.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [1, 2, 3, 1],
...         "b": ["x", "y", "z", "x"],
...     }
... )
>>> df.is_unique()
shape: (4,)
Series: '' [bool]
[
        false
        true
        true
        false
]

polars.DataFrame.is_empty polars.DataFrame.join