polars.Expr.ne_missing#

Expr.ne_missing(other: Any) → Self[source]#

Method equivalent of equality operator expr != other where None == None`.

This differs from default ne where null values are propagated.

Parameters:

other: A literal or expression value to compare with.

Examples

>>> df = pl.DataFrame(
...     data={
...         "x": [1.0, 2.0, float("nan"), 4.0, None, None],
...         "y": [2.0, 2.0, float("nan"), 4.0, 5.0, None],
...     }
... )
>>> df.with_columns(
...     pl.col("x").ne_missing(pl.col("y")).alias("x != y"),
... )
shape: (6, 3)
┌──────┬──────┬────────┐
│ x    ┆ y    ┆ x != y │
│ ---  ┆ ---  ┆ ---    │
│ f64  ┆ f64  ┆ bool   │
╞══════╪══════╪════════╡
│ 1.0  ┆ 2.0  ┆ true   │
│ 2.0  ┆ 2.0  ┆ false  │
│ NaN  ┆ NaN  ┆ true   │
│ 4.0  ┆ 4.0  ┆ false  │
│ null ┆ 5.0  ┆ true   │
│ null ┆ null ┆ false  │
└──────┴──────┴────────┘