循环通过两个pandas数据帧

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'C': [7, 8, 9], 'D': [10, 11, 12]})

for index, row in df1.iterrows():
    # 访问df1的每一行数据
    print(row['A'], row['B'])
    
    # 访问df2相同索引位置的行数据
    print(df2.loc[index]['C'], df2.loc[index]['D'])

import pandas as pd

df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'C': [7, 8, 9], 'D': [10, 11, 12]})

for row1, row2 in zip(df1.iterrows(), df2.iterrows()):
    # 访问df1的每一行数据
    index1, data1 = row1
    print(data1['A'], data1['B'])
    
    # 访问df2相同索引位置的行数据
    index2, data2 = row2
    print(data2['C'], data2['D'])