import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

dataset = pd.read_csv('Market_Basket_Optimisation.csv', header=None)

transactions = []
for i in range(0,7501):
    transactions.append([str(dataset.values[i,j]) for j in range(0,20)])


from apyori import apriori
rules = apriori(transactions,min_support = 0.003,min_confidence = 0.2,min_lift = 3,min_length = 2)

results = list(rules)