如何找到两个数据帧的同一行的列之间的最大重叠？

import pandas as pd

def find_max_overlap(df1, df2):
    # 合并两个数据帧
    merged_df = pd.concat([df1, df2], axis=1)
    
    max_overlap = 0
    max_overlap_rows = []
    
    # 遍历每一行
    for index, row in merged_df.iterrows():
        # 计算重叠列的数量
        overlap = sum(row[:len(df1.columns)] == row[len(df1.columns):])
        
        # 更新最大重叠数量和对应的行索引
        if overlap > max_overlap:
            max_overlap = overlap
            max_overlap_rows = [index]
        elif overlap == max_overlap:
            max_overlap_rows.append(index)
    
    return max_overlap_rows

# 示例数据帧
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [1, 2, 4], 'B': [4, 5, 7]})

# 调用函数查找最大重叠行
max_overlap_rows = find_max_overlap(df1, df2)

print("最大重叠行的行索引：", max_overlap_rows)