polars.Expr.ne_missing#
- Expr.ne_missing(other: Any) Expr [source]#
Method equivalent of equality operator
expr != other
whereNone == 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(pl.col("y")).alias("x ne y"), ... pl.col("x").ne_missing(pl.col("y")).alias("x ne_missing y"), ... ) shape: (6, 4) ┌──────┬──────┬────────┬────────────────┐ │ x ┆ y ┆ x ne y ┆ x ne_missing y │ │ --- ┆ --- ┆ --- ┆ --- │ │ f64 ┆ f64 ┆ bool ┆ bool │ ╞══════╪══════╪════════╪════════════════╡ │ 1.0 ┆ 2.0 ┆ true ┆ true │ │ 2.0 ┆ 2.0 ┆ false ┆ false │ │ NaN ┆ NaN ┆ false ┆ false │ │ 4.0 ┆ 4.0 ┆ false ┆ false │ │ null ┆ 5.0 ┆ null ┆ true │ │ null ┆ null ┆ null ┆ false │ └──────┴──────┴────────┴────────────────┘