getting_started_profiling.py

import numpy as np
import pandas as pd
import pandas_profiling
from faker import Faker


def build_fake_data(size=1):
    fake = Faker()
    output = [{'name': fake.name(),
               'address': fake.address(),
               'email': fake.email(),
               'city': fake.city(),
               'state': fake.state(),
               'date_time': fake.date_time(),
               'random_number': np.random.randint(1000, 2000)} for _ in range(size)]
    return output


if __name__ == '__main__':
    # Override default pandas configuration
    pd.options.display.width = 0
    pd.options.display.max_rows = 10000
    pd.options.display.max_info_columns = 10000

    df = pd.DataFrame(build_fake_data(10))

    prof = pandas_profiling.ProfileReport(df=df)
    prof.to_file('pandas_profile_test.html')