polars.Expr.is_in#
- Expr.is_in(other: Expr | Collection[Any] | Series) Expr [source]#
Check if elements of this expression are present in the other Series.
- Parameters:
- other
Series or sequence of primitive type.
- Returns:
- Expr
Expression of data type
Boolean
.
Examples
>>> df = pl.DataFrame( ... {"sets": [[1, 2, 3], [1, 2], [9, 10]], "optional_members": [1, 2, 3]} ... ) >>> df.with_columns(contains=pl.col("optional_members").is_in("sets")) shape: (3, 3) ┌───────────┬──────────────────┬──────────┐ │ sets ┆ optional_members ┆ contains │ │ --- ┆ --- ┆ --- │ │ list[i64] ┆ i64 ┆ bool │ ╞═══════════╪══════════════════╪══════════╡ │ [1, 2, 3] ┆ 1 ┆ true │ │ [1, 2] ┆ 2 ┆ true │ │ [9, 10] ┆ 3 ┆ false │ └───────────┴──────────────────┴──────────┘