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