polars.Expr.list.set_union#

Expr.list.set_union(other: Expr | IntoExpr) → Expr[source]#

Compute the SET UNION between the elements in this list and the elements of other.

Parameters:

other: Right hand side of the set operation.

Examples

>>> df = pl.DataFrame(
...     {
...         "a": [[1, 2, 3], [], [None, 3], [5, 6, 7]],
...         "b": [[2, 3, 4], [3], [3, 4, None], [6, 8]],
...     }
... )
>>> df.with_columns(
...     pl.col("a").list.set_union("b").alias("union")
... )  
shape: (4, 3)
┌───────────┬──────────────┬───────────────┐
│ a         ┆ b            ┆ union         │
│ ---       ┆ ---          ┆ ---           │
│ list[i64] ┆ list[i64]    ┆ list[i64]     │
╞═══════════╪══════════════╪═══════════════╡
│ [1, 2, 3] ┆ [2, 3, 4]    ┆ [1, 2, 3, 4]  │
│ []        ┆ [3]          ┆ [3]           │
│ [null, 3] ┆ [3, 4, null] ┆ [null, 3, 4]  │
│ [5, 6, 7] ┆ [6, 8]       ┆ [5, 6, 7, 8]  │
└───────────┴──────────────┴───────────────┘