如何在python中通过多列groupBy迭代pandas数据帧

import pandas as pd

# 创建一个示例数据帧
data = {
    'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],
    'B': ['one', 'one', 'two', 'two', 'two', 'one', 'two', 'one'],
    'C': [1, 2, 3, 4, 5, 6, 7, 8],
    'D': [10, 20, 30, 40, 50, 60, 70, 80]
}
df = pd.DataFrame(data)

# 通过多列进行分组
grouped = df.groupby(['A', 'B'])

# 迭代分组后的数据帧
for group, data in grouped:
    print(f'Group: {group}')
    print(f'Data:\n{data}\n')

Group: ('bar', 'one')
Data:
     A    B  C   D
1  bar  one  2  20

Group: ('bar', 'two')
Data:
     A    B  C   D
3  bar  two  4  40
5  bar  one  6  60

Group: ('foo', 'one')
Data:
     A    B  C   D
0  foo  one  1  10
7  foo  one  8  80

Group: ('foo', 'two')
Data:
     A    B  C   D
2  foo  two  3  30
4  foo  two  5  50
6  foo  two  7  70