fake_customers.py

import pandas as pd
from faker import Faker

# set the seed
Faker.seed(10)

# set the locale to GB
fake = Faker("en_GB")

# how many customers to fake
N = 1000

# get first names, last names and postcodes
fname = [fake.first_name() for i in range(N)]
lname = [fake.last_name() for i in range(N)]
pcode = [fake.postcode() for i in range(N)]

# create a dataframe
df_fake = pd.DataFrame({
    "fname": fname,
    "lname": lname,
    "pcode": pcode})

# save to a csv
df_fake.to_csv("data/fake_customers.csv", index=False)