polars.Expr.peak_min# Expr.peak_min() → Expr[source]# Get a boolean mask of the local minimum peaks. Examples >>> df = pl.DataFrame({"a": [4, 1, 3, 2, 5]}) >>> df.select(pl.col("a").peak_min()) shape: (5, 1) ┌───────┐ │ a │ │ --- │ │ bool │ ╞═══════╡ │ false │ │ true │ │ false │ │ true │ │ false │ └───────┘