查找Pandas中具有相同列值的数据帧的行

import pandas as pd

# 创建一个示例数据帧
data = {'A': [1, 2, 3, 1, 2, 3],
        'B': ['a', 'b', 'c', 'a', 'b', 'c'],
        'C': [True, False, True, False, True, False]}
df = pd.DataFrame(data)

# 标记重复行
duplicates = df.duplicated()

# 分组并获取每个分组的行
groups = df.groupby(['A', 'B'])
for name, group in groups:
    print(f"Group: {name}")
    print(group)

Group: (1, 'a')
   A  B     C
0  1  a  True
3  1  a  False
Group: (2, 'b')
   A  B      C
1  2  b  False
4  2  b   True
Group: (3, 'c')
   A  B      C
2  3  c   True
5  3  c  False