pandas.core.resample.Resampler.max

finalResampler.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