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# pandas.api.typing.Resampler.max

final Resampler.max(numeric_only=False, min_count=0)

  Compute max value of group.

  Parameters:
    numeric_only bool, default False

      Include only float, int, boolean columns.

      Changed in version 2.0.0: numeric_only no longer accepts `None`.

    min_count int, default 0

      The required number of valid values to perform the operation. If fewer than `min_count` non-NA values are present the result will be NA.

  Returns:
    Series or DataFrame

      Computes the maximum value in the given Series or Dataframe.

  See also

  `core.resample.Resampler.min`

    Compute min value of group.

  `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, 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").max()
      2023-01-01    2
      2023-02-01    4
      Freq: MS, dtype: int64