polars.Expr.arg_min# Expr.arg_min() → Expr[source]# Get the index of the minimal value. Examples >>> df = pl.DataFrame( ... { ... "a": [20, 10, 30], ... } ... ) >>> df.select(pl.col("a").arg_min()) shape: (1, 1) ┌─────┐ │ a │ │ --- │ │ u32 │ ╞═════╡ │ 1 │ └─────┘