dask.dataframe.tseries.resample.Resampler.var

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dask.dataframe.tseries.resample.Resampler.var#

Resampler.var()[source]#

Compute variance of groups, excluding missing values.

This docstring was copied from pandas.api.typing.Resampler.var.

Some inconsistencies with the Dask version may exist.

Parameters:
ddofint, default 1 (Not supported in Dask)

Degrees of freedom.

numeric_onlybool, default False (Not supported in Dask)

Include only float, int or boolean data.

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
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