pandas.core.resample.Resampler.max

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

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