polars.Expr.list.min

Expr.list.min() → Expr

Compute the min value of the lists in the array.

Examples

>>> df = pl.DataFrame({"values": [[1], [2, 3]]})
>>> df.with_columns(min=pl.col("values").list.min())
shape: (2, 2)
┌───────────┬─────┐
│ values    ┆ min │
│ ---       ┆ --- │
│ list[i64] ┆ i64 │
╞═══════════╪═════╡
│ [1]       ┆ 1   │
│ [2, 3]    ┆ 2   │
└───────────┴─────┘