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# pandas.core.resample.Resampler.max

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

  Compute max value of group.

  Returns:
    Series or DataFrame

  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