Import the library.

  Load the data set.

  Build the model.

  Fit the grocery data.

  Make the association rules.

  Print the rules.

#import the library
import numpy as np
import pandas as pd
from apyori import apriori

#load the data
store_data = pd.read_csv(‘……/grocery.csv’)

#initialize a empty list
records = []
for i in range(0, 19):
records.append([str(store_data.values[i,j]) for j in range(0, 4)])

#applying apirori
association_rules = apriori(records, min_support=0.03, min_confidence=0.2, min_lift=3, min_length=2)

#make it as a data frame
df = pd.DataFrame(association_rules)

#create a excel file for results
final = df.to_excel(‘…/asso_rules.xlsx’)

for i in range(0,16):
print(df.loc[i])