pandas.core.resample.Resampler.var

final Resampler.var(ddof=1, numeric_only=False)

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.

See also

core.resample.Resampler.std

Compute standard deviation of groups, excluding missing values.

core.resample.Resampler.mean

Compute mean of groups, excluding missing values.

core.resample.Resampler.median

Compute median of groups, excluding missing values.

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