pyspark.pandas.groupby.GroupBy.var¶
-
GroupBy.var(ddof: int = 1) → FrameLike[source]¶ Compute variance of groups, excluding missing values.
New in version 3.3.0.
- Parameters
- ddofint, default 1
Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.
Changed in version 3.4.0: Supported including arbitary integers.
Examples
>>> df = ps.DataFrame({"A": [1, 2, 1, 2], "B": [True, False, False, True], ... "C": [3, 4, 3, 4], "D": ["a", "b", "b", "a"]})
>>> df.groupby("A").var() B C A 1 0.5 0.0 2 0.5 0.0