pandas.core.resample.Resampler.var — pandas 2.3.0 documentation (original) (raw)

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