Untitled

frommlxtend.frequent_patterns import apriori, association_rules

importmatplotlib.pyplot as plt

import pandas as pd

import numpy as np

df = pd.read_csv('C:\\Users\\aliet\\Downloads\\retail_dataset.csv')

## Print first 10 rows

df.head(10)

items = set()

for col in df:

items.update(df[col].unique())

    print(items)

itemset = set(items)

encoded_vals = []

for index, row in df.iterrows():

rowset = set(row)

   labels = {}

uncommons = list(itemset - rowset)

commons = list(itemset.intersection(rowset))

   for uc in uncommons:

      labels[uc] = 0

   for com in commons:

      labels[com] = 1

encoded_vals.append(labels)

#encoded_vals[0]

ohe_df = pd.DataFrame(encoded_vals)

freq_items = apriori(ohe_df, min_support=0.2, use_colnames=True, verbose=1)

freq_items.head(7)