polars.Expr.arr.sum# Expr.arr.sum() → Expr[source]# Sum all the lists in the array. Examples >>> df = pl.DataFrame({"values": [[1], [2, 3]]}) >>> df.select(pl.col("values").arr.sum()) shape: (2, 1) ┌────────┐ │ values │ │ --- │ │ i64 │ ╞════════╡ │ 1 │ │ 5 │ └────────┘