使用groupby时返回索引值

import pandas as pd

# 创建一个DataFrame
data = {'Name': ['Tom', 'Nick', 'John', 'Tom', 'Nick', 'John'],
        'Age': [20, 25, 30, 35, 40, 45],
        'City': ['London', 'New York', 'Paris', 'London', 'New York', 'Paris']}
df = pd.DataFrame(data)

# 使用groupby函数进行分组，并返回索引值
grouped = df.groupby('Name', as_index=False)

# 遍历每个分组，并输出索引值和对应的数据
for name, group in grouped:
    print("Group:", name)
    print("Index:", group.index)
    print("Data:")
    print(group)
    print()

Group: John
Index: Int64Index([2, 5], dtype='int64')
Data:
   Name  Age   City
2  John   30  Paris
5  John   45  Paris

Group: Nick
Index: Int64Index([1, 4], dtype='int64')
Data:
   Name  Age      City
1  Nick   25  New York
4  Nick   40  New York

Group: Tom
Index: Int64Index([0, 3], dtype='int64')
Data:
  Name  Age    City
0  Tom   20  London
3  Tom   35  London