Python script to generate fake data

python_fake_data.py

# `pip install faker`
# OR 
# specify fake in your requirements.txt file
# then run `pip install -r requirements.txt`
#!/usr/bin/python3

from faker import Faker
import csv

fake = Faker()

num_rows = 10  # change this value to specify the number of rows required
filename = "fake_data.csv"

# Specify the header row for the CSV file
header = ['first_name', 'middle_name', 'last_name', 'ssn', 'gender', 'street_address', 'apt_number', 'city', 'state', 'phone_number']

# Generate fake data for all rows
rows = []
for i in range(num_rows):
    row = {'first_name': fake.first_name(), 'middle_name': fake.first_name(), 'last_name': fake.last_name(), 
           'ssn': fake.ssn(), 'gender': fake.random_element(elements=('Male', 'Female')), 
           'street_address': fake.street_address(), 'apt_number': fake.building_number(), 
           'city': fake.city(), 'state': fake.state(), 'phone_number': fake.phone_number()}
    rows.append(row)

# Write to CSV file using DictWriter
with open(filename, mode='w', newline='') as f:
    writer = csv.DictWriter(f, fieldnames=header)
    writer.writeheader()
    writer.writerows(rows)

print(f"Generated {num_rows} rows of fake data and saved to {filename}")