如何使用dict对多索引pandas数据帧进行重采样？(>0.18.0)

import pandas as pd

# 创建一个多索引的数据帧
index = pd.date_range('2022-01-01', periods=10, freq='D')
columns = pd.MultiIndex.from_product([['A', 'B'], ['x', 'y']])
df = pd.DataFrame(index=index, columns=columns)
df['A']['x'] = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
df['A']['y'] = [11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
df['B']['x'] = [21, 22, 23, 24, 25, 26, 27, 28, 29, 30]
df['B']['y'] = [31, 32, 33, 34, 35, 36, 37, 38, 39, 40]

resample_rules = {'A': 'W', 'B': 'M'}

resampled_df = df.resample(resample_rules).sum()

print(resampled_df)

import pandas as pd

# 创建一个多索引的数据帧
index = pd.date_range('2022-01-01', periods=10, freq='D')
columns = pd.MultiIndex.from_product([['A', 'B'], ['x', 'y']])
df = pd.DataFrame(index=index, columns=columns)
df['A']['x'] = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
df['A']['y'] = [11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
df['B']['x'] = [21, 22, 23, 24, 25, 26, 27, 28, 29, 30]
df['B']['y'] = [31, 32, 33, 34, 35, 36, 37, 38, 39, 40]

# 使用dict来指定每个索引级别的重采样规则
resample_rules = {'A': 'W', 'B': 'M'}

# 对数据帧进行重采样
resampled_df = df.resample(resample_rules).sum()

# 打印输出重采样后的数据帧
print(resampled_df)