pandas.core.resample.Resampler.max#
- Resampler.max(numeric_only=False, min_count=0, *args, **kwargs)[source]#
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