dask.dataframe.groupby.SeriesGroupBy.var

dask.dataframe.groupby.SeriesGroupBy.var

SeriesGroupBy.var(ddof=1, split_every=None, split_out=1)

Compute variance of groups, excluding missing values.

This docstring was copied from pandas.core.groupby.groupby.GroupBy.var.

Some inconsistencies with the Dask version may exist.

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

Parameters
ddofint, default 1

Degrees of freedom.

enginestr, default None (Not supported in Dask)
  • '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_kwargsdict, default None (Not supported in Dask)
  • 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_onlybool, default True (Not supported in Dask)

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.