pandas.core.resample.Resampler.var#

finalResampler.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 onlyfloat,int orboolean data.

Added in version 1.5.0.

Changed in version 2.0.0:numeric_only now defaults toFalse.

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    1.02023-02-01    7.0Freq: MS, dtype: float64

>>>ser.resample('MS').var(ddof=0)2023-01-01    0.6666672023-02-01    4.666667Freq: MS, dtype: float64