polars.var#
- polars.var(column: str, ddof: int = 1) Expr [source]#
Get the variance.
This function is syntactic sugar for
pl.col(column).var(ddof)
.- Parameters:
- column
Column name.
- 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