在Pandas DataFrame中通过一个巨大的数据集“向后迭代”

import pandas as pd

# 创建一个示例DataFrame
data = {'Name': ['John', 'Emma', 'Ryan'],
        'Age': [28, 24, 32],
        'City': ['New York', 'London', 'Sydney']}
df = pd.DataFrame(data)

# 使用iterrows()函数进行向后迭代
for index, row in df.iterrows():
    print('Index:', index)
    print('Name:', row['Name'])
    print('Age:', row['Age'])
    print('City:', row['City'])
    print('------------------------')

Index: 0
Name: John
Age: 28
City: New York
------------------------
Index: 1
Name: Emma
Age: 24
City: London
------------------------
Index: 2
Name: Ryan
Age: 32
City: Sydney
------------------------