pandas.core.groupby.GroupBy.var

finalGroupBy.var(ddof=1, engine=None, engine_kwargs=None, numeric_only=_NoDefault.no_default)[source]

Compute variance of groups, excluding missing values.

For multiple groupings, the result index will be a MultiIndex.

Parameters

ddof:int, default 1

Degrees of freedom.

engine:str, default None

• 'cython' : Runs the operation through C-extensions from cython.

• 'numba' : Runs the operation through JIT compiled code from numba.

• None : Defaults to 'cython' or globally setting compute.use_numba

New in version 1.4.0.

engine_kwargs:dict, default None

• For 'cython' engine, there are no accepted engine_kwargs

• For 'numba' engine, the engine can accept nopython, nogil and parallel dictionary keys. The values must either be True or False. The default engine_kwargs for the 'numba' engine is {{'nopython': True, 'nogil': False, 'parallel': False}}

New in version 1.4.0.

numeric_only:bool, default True

Include only float, int or boolean data.

New in version 1.5.0.

Returns

Series or DataFrame

Variance of values within each group.

See also

Series.groupby

Apply a function groupby to a Series.

DataFrame.groupby

Apply a function groupby to each row or column of a DataFrame.