#Create random dataset in python how to#

rand_names = įaker can generate not only English data but also data in other languages and locales. As shown below, all 10,000 generated names are unique. Note we first create a list containing 10,000 random names using list comprehension, then convert the list into a set, which would remove any duplicate values. Let’s test this, the below code proves that all 10,000 random names are unique. unique, which we can use to help generate unique data for the lifetime of a Faker instance. So run the below 2 lines of code to reproduce the below result: ed(0) Like many random generators, we can use a seed to ensure that other people can reproduce the results. So you’ll get different names when running the code on your end. Note that each time we run the above code, we’ll get different results due to the library’s random nature. Then, to generate random data using the Python faker library, all we need is a Faker object, which will let us generate random names, addresses, and even (of course fake) credit card numbers and airline information! from faker import Faker

pip install faker Generate Random Data In Python Install Libraryįirst, let’s start off by installing the library using pip.

#Create random dataset in python how to#

This tutorial will show you how to generate random and unique data in Python easily and we will use a library called faker.