逐行比较pandas数据框中的每个值

import pandas as pd

# 创建一个示例数据框
data = {'Name': ['Tom', 'Nick', 'John', 'Mike'],
        'Age': [20, 21, 22, 23],
        'City': ['New York', 'Paris', 'London', 'Tokyo']}
df = pd.DataFrame(data)

# 使用iterrows()方法逐行比较数据框中的每个值
for index, row in df.iterrows():
    for column, value in row.iteritems():
        # 打印每个值的行索引、列名和值
        print('Index:', index)
        print('Column:', column)
        print('Value:', value)

Index: 0
Column: Name
Value: Tom
Index: 0
Column: Age
Value: 20
Index: 0
Column: City
Value: New York
Index: 1
Column: Name
Value: Nick
Index: 1
Column: Age
Value: 21
Index: 1
Column: City
Value: Paris
Index: 2
Column: Name
Value: John
Index: 2
Column: Age
Value: 22
Index: 2
Column: City
Value: London
Index: 3
Column: Name
Value: Mike
Index: 3
Column: Age
Value: 23
Index: 3
Column: City
Value: Tokyo