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# pandas.api.typing.Resampler.mean

final Resampler.mean(numeric_only=False)

  Compute mean of groups, excluding missing values.

  This method calculates the arithmetic mean of values within each resampled time period.

  Parameters:
    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

      Mean of values within each group.

  See also

  `core.resample.Resampler.median`

    Compute median of groups, excluding missing values.

  `core.resample.Resampler.sum`

    Compute sum of groups, excluding missing values.

  `core.resample.Resampler.std`

    Compute standard deviation of groups, excluding missing values.

  `core.resample.Resampler.var`

    Compute variance of groups, excluding missing values.

  Examples

      >>> ser = pd.Series(
      ...     [1, 2, 3, 4],
      ...     index=pd.DatetimeIndex(
      ...         ["2023-01-01", "2023-01-15", "2023-02-01", "2023-02-15"]
      ...     ),
      ... )
      >>> ser
      2023-01-01    1
      2023-01-15    2
      2023-02-01    3
      2023-02-15    4
      dtype: int64
      >>> ser.resample("MS").mean()
      2023-01-01    1.5
      2023-02-01    3.5
      Freq: MS, dtype: float64