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.

New 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