如何计算数据帧中两行之间的jaccard相似度

import pandas as pd
import numpy as np

# 创建一个示例数据帧
df = pd.DataFrame({'A': ['apple', 'banana', 'orange'], 'B': ['banana', 'orange', 'kiwi']})

# 将数据帧中的两行转换为集合
row1 = set(df.loc[0])
row2 = set(df.loc[1])

# 计算交集和并集的大小
intersection = len(row1.intersection(row2))
union = len(row1.union(row2))

# 计算Jaccard相似度
jaccard_similarity = intersection / union

print("Jaccard相似度:", jaccard_similarity)