polars.Expr.min# Expr.min() → Expr[source]# Get minimum value. Examples >>> df = pl.DataFrame({"a": [-1.0, float("nan"), 1.0]}) >>> df.select(pl.col("a").min()) shape: (1, 1) ┌──────┐ │ a │ │ --- │ │ f64 │ ╞══════╡ │ -1.0 │ └──────┘