quaternionic | Interpret numpy arrays as quaternionic arrays | Animation library

quaternionic is a Python library typically used in User Interface, Animation, Numpy applications. quaternionic has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However quaternionic build file is not available. You can install using 'pip install quaternionic' or download it from GitHub, PyPI.

This module subclasses numpy's array type, interpreting the array as an array of quaternions, and accelerating the algebra using numba. This enables natural manipulations, like multiplying quaternions as a*b, while also working with standard numpy functions, as in np.log(q). There is also basic initial support for symbolic manipulation of quaternions by creating quaternionic arrays with sympy symbols as elements, though this is a work in progress. This package has evolved from the quaternion package, which adds a quaternion dtype directly to numpy. In some ways, that is a better approach because dtypes are built in to numpy, making it more robust than this package. However, that approach has its own limitations, including that it is harder to maintain, and requires much of the code to be written in C, which also makes it harder to distribute. This package is written entirely in python code, but should actually have comparable performance because it is compiled by numba. Moreover, because the core code is written in pure python, it is reusable for purposes other than the core purpose of this package, which is to provide the numeric array type.