polars.Expr.list.mean

Expr.list.mean() → Expr

Compute the mean value of the lists in the array.

Examples

>>> df = pl.DataFrame({"values": [[1], [2, 3]]})
>>> df.with_columns(mean=pl.col("values").list.mean())
shape: (2, 2)
┌───────────┬──────┐
│ values    ┆ mean │
│ ---       ┆ ---  │
│ list[i64] ┆ f64  │
╞═══════════╪══════╡
│ [1]       ┆ 1.0  │
│ [2, 3]    ┆ 2.5  │
└───────────┴──────┘