polars.Expr.has_nulls

Expr.has_nulls() → Expr

Check whether the expression contains one or more null values.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [None, 1, None],
...         "b": [10, None, 300],
...         "c": [350, 650, 850],
...     }
... )
>>> df.select(pl.all().has_nulls())
shape: (1, 3)
┌──────┬──────┬───────┐
│ a    ┆ b    ┆ c     │
│ ---  ┆ ---  ┆ ---   │
│ bool ┆ bool ┆ bool  │
╞══════╪══════╪═══════╡
│ true ┆ true ┆ false │
└──────┴──────┴───────┘