Create Your own Dataset — Faker

“Data that is loved tends to survive.” — Kurt Bollacker

Faker Library

Faker in python is used extensively to fill databases with some dummy data. Test data in test automation is one of the integral component and it is a pain to fill up this layer of test automation framework. With the use of faker library this problem can be easily solved , it generates large amount of data which looks very realistic and can be used to feed your test cases.

Let’s get started with installation of faker , The package is installed with composer.

pip install Faker

This command will let you download the necessary files required to use faker , post this import the library and create one object of faker class , below is the code snippet :

from faker import Faker
faker = Faker()

We can quickly see an example on how to fake names ,

print(f'name: {faker.name()}')
print(f'address: {faker.address()}')
print(f'text: {faker.text()}')

Run the python file

You can use faker object to create random data for your test cases as per your requirements. One advantage of using faker is , it quite allow you to generate data based up on the given locations to some extend . You can generate any kind of data which is required for the test cases , more on this can be read on the official documentation here.