jgmorrison/fakemaker

Easy way to generate CSV files for test data. Written in Python.

Fake Maker

Easily make a CSV with individual personal data for as many rows as needed. Useful for testing applications that require user or customer data. Each row will contain separate columns for First_Name, Last_Name, Address, City, State, Zip, Joined(date), Age, Gender, and Email.

Installation:

pip install git+https://github.com/jgmorrison/fakemaker.git

Usage:

Simply pass the amount of rows as an argument to the personal_data() function attached to an instance of FakeMake(). The result will be a useable CSV file named fakemaker.csv in your current working directory.

from fakemaker Import FakeMake

fake = FakeMake()

fake.personal_data(3)

Example Results:

First_Name, Last_Name, Address, City, State, Zip, Joined, Age, Gender, Email

Edmon,Robel,39585 Abbott Pass Apt. 256,Stanburgh,MP,98269,2000-07-18,70,Male,[email protected]

Brandy,Kling,497 Son Key Apt. 168,Deckowside,OK,79522,2009-10-30,77,Female,[email protected]

Jeanette,Smith,6171 Bins Extension,Dolahaven,NY,74042,2001-11-13,52,Female,[email protected]