#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 17 15:15:22 2018

@author: vijendrasharma
"""

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

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)
result= list(rules)