在pandas中使用iterrows进行迭代时划分行

import pandas as pd

# 创建一个示例DataFrame
data = {'Name': ['Alice', 'Bob', 'Charlie'],
        'Age': [25, 30, 35],
        'City': ['New York', 'London', 'Paris']}
df = pd.DataFrame(data)

# 使用iterrows进行迭代
for index, row in df.iterrows():
    print('Index:', index)
    print('Row:', row)
    print('---')

Index: 0
Row: Name         Alice
Age              25
City      New York
Name: 0, dtype: object
---
Index: 1
Row: Name         Bob
Age            30
City      London
Name: 1, dtype: object
---
Index: 2
Row: Name       Charlie
Age               35
City          Paris
Name: 2, dtype: object
---