pyspark.pandas.groupby.GroupBy.std¶
-
GroupBy.std(ddof: int = 1) → FrameLike¶ Compute standard deviation of groups, excluding missing values.
- Parameters
- ddofint, default 1
Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements.
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").std() B C A 1 0.707107 0.0 2 0.707107 0.0