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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