一次迭代两行的Pandas Dataframe

import pandas as pd

# 创建一个示例DataFrame
data = {'Name': ['Alice', 'Bob', 'Charlie', 'David'],
        'Age': [25, 30, 35, 40],
        'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)

# 使用iterrows()方法迭代DataFrame
for index, row in df.iterrows():
    print(f"Row index: {index}")
    print(f"Row data: {row}")
    print()

    # 判断是否还有下一行数据
    if index + 1 < len(df):
        # 获取下一行数据
        next_row = df.iloc[index + 1]
        print(f"Next row data: {next_row}")
        print()

Row index: 0
Row data: Name         Alice
Age              25
City      New York
Name: 0, dtype: object

Next row data: Name         Bob
Age           30
City      London
Name: 1, dtype: object

Row index: 1
Row data: Name         Bob
Age           30
City      London
Name: 1, dtype: object

Next row data: Name       Charlie
Age             35
City         Paris
Name: 2, dtype: object

Row index: 2
Row data: Name       Charlie
Age             35
City         Paris
Name: 2, dtype: object

Next row data: Name       David
Age            40
City        Tokyo
Name: 3, dtype: object

Row index: 3
Row data: Name       David
Age            40
City        Tokyo
Name: 3, dtype: object