polars.var#

polars.var(column: str, ddof: int = 1) → Expr[source]#

polars.var(column: Series, ddof: int = 1) → float | None

Get the variance.

Parameters:

column: Column to get the variance of.
ddof: “Delta Degrees of Freedom”: the divisor used in the calculation is N - ddof, where N represents the number of elements. By default ddof is 1.

Examples

>>> df = pl.DataFrame({"a": [1, 8, 3], "b": [4, 5, 2], "c": ["foo", "bar", "foo"]})
>>> df.select(pl.var("a"))
shape: (1, 1)
┌──────┐
│ a    │
│ ---  │
│ f64  │
╞══════╡
│ 13.0 │
└──────┘
>>> df["a"].var()
13.0