polars.Expr.arr.std#

Expr.arr.std(ddof: int = 1) Expr[source]#

Compute the std of the values of the sub-arrays.

Examples

>>> df = pl.DataFrame(
...     data={"a": [[1, 2], [4, 3]]},
...     schema={"a": pl.Array(pl.Int64, 2)},
... )
>>> df.select(pl.col("a").arr.std())
shape: (2, 1)
┌──────────┐
│ a        │
│ ---      │
│ f64      │
╞══════════╡
│ 0.707107 │
│ 0.707107 │
└──────────┘