Python 对于这种类型的数据集，是否有使用apriori查找关联规则的方法？

数据集包含标题

我正在jupyter笔记本上写这段代码

"My Code is"
!pip install apyori
!pip install mlxtend
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

from apyori import apriori
from mlxtend.preprocessing import TransactionEncoder

dataset = pd.read_csv('Mart.csv')
Total_Transections = len(dataset)
print(Total_Transections)
dataset.head()

transactions = []
for i in range(0, Total_Transections):
transactions.append([str(dataset.values[i,j]) for j in range(0, 20)])

from apyori import apriori
Association_Rules = apriori(transactions, 
min_support = 0.50,
min_confidence = 0.2,
min_lift = 3,
min_length = 2)

Results = list(Rules)
print(len(Results))
print(Results)

我面临的问题是找出这个数据集的关联规则。我尝试过生成规则的其他类型的数据集。但对于这种类型的数据集，存在一个问题。如何生成关联规则