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# pandas.api.typing.Resampler.var

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

  Compute variance of groups, excluding missing values.

  This method calculates the sample variance of values within each resampled time period.

  Parameters:
    ddof int, default 1

      Degrees of freedom.

    numeric_only bool, default False

      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