pandas.core.resample.Resampler.var#
- final Resampler.var(ddof=1, numeric_only=False, *args, **kwargs)[source]#
Compute variance of groups, excluding missing values.
- Parameters:
- ddofint, default 1
Degrees of freedom.
- numeric_onlybool, default False
Include only float, int or boolean data.
Added in version 1.5.0.
Changed in version 2.0.0: numeric_only now defaults to
False
.
- Returns:
- DataFrame or Series
Variance of values within each group.
Examples
>>> ser = pd.Series([1, 3, 2, 4, 3, 8], ... index=pd.DatetimeIndex(['2023-01-01', ... '2023-01-10', ... '2023-01-15', ... '2023-02-01', ... '2023-02-10', ... '2023-02-15'])) >>> ser.resample('MS').var() 2023-01-01 1.0 2023-02-01 7.0 Freq: MS, dtype: float64
>>> ser.resample('MS').var(ddof=0) 2023-01-01 0.666667 2023-02-01 4.666667 Freq: MS, dtype: float64