pyquatlib 1.0.0

yet another library for quaternions

pyquatlib

Just another library for quaternions. With focus on usability.

Installation

Assuming you use pip to manage your python installation, you can install this package simply as

pip install pyquatlib

In order to install a virtual environment, change to the code directory, and run

make init

Basic usage

The full documentation can be generated with

make docs

The following are mostly for the purposes of example.

There are several ways to create a Quaternion:

>>> from quaternions import Quaternion
>>> import numpy as np

>>> Quaternion(np.array([1, -2, 3]))
Quaternion: ((0, array([ 1, -2,  3])))
>>> Quaternion((0, np.array([1, 2, 3])))
Quaternion: ((0, array([1, 2, 3])))

Left and right operations with compatible data structures are supported.

>>> data = np.full((4,3), [1,2,3])
>>> data
array([[1, 2, 3],
       [1, 2, 3],
       [1, 2, 3],
       [1, 2, 3]])

>>> data - Quaternion([2, 1, 1, 1])
[Quaternion: ((-2, array([0, 1, 2]))),
 Quaternion: ((-2, array([0, 1, 2]))),
 Quaternion: ((-2, array([0, 1, 2]))),
 Quaternion: ((-2, array([0, 1, 2])))]

>>>  Quaternion([1, 0 , -1, 0]) + data
[Quaternion: ((1, array([1, 1, 3]))),
 Quaternion: ((1, array([1, 1, 3]))),
 Quaternion: ((1, array([1, 1, 3]))),
 Quaternion: ((1, array([1, 1, 3])))]

>>> data * Quaternion(np.array([1, 2, 3, 4]))
[Quaternion: ((-20, array([0, 4, 2]))),
 Quaternion: ((-20, array([0, 4, 2]))),
 Quaternion: ((-20, array([0, 4, 2]))),
 Quaternion: ((-20, array([0, 4, 2])))]

>>> Quaternion([0, 1 , -1, -1]) / data
[Quaternion: ((-0.2857142857142857, array([ 0.07142857,  0.28571429, -0.21428571]))),
 Quaternion: ((-0.2857142857142857, array([ 0.07142857,  0.28571429, -0.21428571]))),
 Quaternion: ((-0.2857142857142857, array([ 0.07142857,  0.28571429, -0.21428571]))),
 Quaternion: ((-0.2857142857142857, array([ 0.07142857,  0.28571429, -0.21428571])))]

Several conversion functions from compatible data structures are also included. For example, to convert an (n,3) array to a list of Quaternions, use to_quaternion:

>>> vectors = np.random.rand(100, 3)
>>> vectors
array([[0.02219696, 0.61847575, 0.68714365],
       [0.56104393, 0.3529833 , 0.8188565 ],
       ...
       [0.38190174, 0.59151826, 0.37396559]])

>>> Quaternion.to_quaternion(vectors)
[Quaternion: ((0.0, array([0.02219696, 0.61847575, 0.68714365]))),
 Quaternion: ((0.0, array([0.56104393, 0.3529833 , 0.8188565 ]))),
 Quaternion: ((0.0, array([0.84834741, 0.02304604, 0.33619428]))),
 ...
 Quaternion: ((0.0, array([0.38190174, 0.59151826, 0.37396559])))]

Bug reports and feature requests

Bug reports and feature requests are entirely welcome. The best way to do this is to open an issue on this code's github page. For bug reports, please try to include a minimal working example demonstrating the problem.

Pull requests are also entirely welcome, of course, if you have an idea where the code is going wrong, or have an idea for a new feature that you know how to implement.

This code is routinely tested on recent versions of Python 3.* Test coverage is quite complete.