DM14

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from apyori import apriori
store_data = pd.read_csv('Market_Basket_Optimisation.csv',header=None)
store_data.head()
records = []
for i in range(0, 7501):
records.append([str(store_data.values[i,j]) for j in range(0, 20)])
association_rules = apriori(records, min_support=0.0045, min_confidence=0.2, min_lift=3,
max_length=None)
association_results = list(association_rules)
print(len(association_results))
48
for item in association_results:

pair = item[0]
items = [x for x in pair]
print("Le:",items)
print("Rule: " + items[0] + " -> " + items[1])
#second index of the inner list
print("Support: " + str(item[1]))

print("Confidence: " + str(item[2][0][2]))
print("Lift: " + str(item[2][0][3]))
print("=====================================")