Pandas:对分组的dataframe列进行重采样，获取对应于最大值的离散特征

import pandas as pd

# 创建示例DataFrame
data = {'date': pd.date_range(start='2022-01-01', end='2022-01-10', freq='D'),
        'value': [10, 20, 15, 30, 25, 40, 35, 50, 45, 60]}
df = pd.DataFrame(data)

# 按照日期进行分组，并对分组的列进行重采样，获取对应于最大值的离散特征
resampled_df = df.groupby(pd.Grouper(key='date', freq='W')).resample('D').max()

print(resampled_df)

                 date  value
date       date             
2022-01-02 2022-01-02     20
2022-01-03 2022-01-03     15
2022-01-04 2022-01-04     30
2022-01-05 2022-01-05     25
2022-01-06 2022-01-06     40
2022-01-07 2022-01-07     35
2022-01-08 2022-01-08     50
2022-01-09 2022-01-09     45
2022-01-10 2022-01-10     60