Created
August 26, 2024 17:06
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faker sample
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| import pandas as pd | |
| from faker import Faker | |
| import random | |
| fake = Faker() | |
| def generate_fake_data(num_entries=10): | |
| data = [] | |
| for _ in range(num_entries): | |
| entry = { | |
| "Name": fake.name(), | |
| "Address": fake.address(), | |
| "Email": fake.email(), | |
| "Phone Number": fake.phone_number(), | |
| "Date of Birth": fake.date_of_birth(minimum_age=18, maximum_age=65).strftime("%Y-%m-%d"), | |
| "Random Number": random.randint(1, 100), | |
| "Job Title": fake.job(), | |
| "Company": fake.company(), | |
| "Lorem Ipsum Text": fake.text(), | |
| } | |
| data.append(entry) | |
| return pd.DataFrame(data) | |
| if __name__ == "__main__": | |
| num_entries = 10 # You can adjust the number of entries you want to generate | |
| fake_data_df = generate_fake_data(num_entries) | |
| ## Dataframe with Fake Data | |
| print(fake_data_df) |
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