Python random rotation matrix generators (currently in 2D and 3D).
Generate uniformly distributed random rotation matrices in 2D and 3D. The 2D case is trivial. The 3D case is based on an algorithm described in Arvo 1992.
pip install git+https://github.com/qobilidop/randrot.git#egg=randrot>>> import numpy as np
>>> import randrot
>>> np.random.seed(0)
>>> randrot.generate(2)
matrix([[-0.95333378, 0.30191837],
[-0.30191837, -0.95333378]])
>>> np.random.seed(0)
>>> randrot.generate(3)
matrix([[ 0.97631838, 0.04135264, -0.21234968],
[-0.19851343, -0.21892019, -0.95533574],
[-0.08599329, 0.9748661 , -0.20552675]])- Generate uniform random rotation matrices in any dimension.
This project does solve the problem it aims to solve. But it's rather simple and feature-poor. Actually it also serves as a laboratory for me to learn to make a Python package. There are other Python packages you might be interested to check out:
- pyquaternion is a full-featured Python module for representing and using quaternions. It has the functionalities to create random quaternion, access matrix form and much more.