Quaternion components are stored as double-precision floating point numbers — float s, in python language, or float64 in more precise numpy language.

Quaternionic arrays. This module subclasses numpy's array type, interpreting the array as an array of quaternions, and accelerating the algebra using numba.

This Python module adds a quaternion dtype to NumPy. To build: $ python setup.py build To install (may require administrator rights): # python setup.py install

Add built-in support for quaternions to numpy. Contribute to moble/quaternion development by creating an account on GitHub.

Interpret numpy arrays as quaternionic arrays with numba acceleration - quaternionic/quaternionic/properties.py at main · moble/quaternionic.

pyquaternion is a full-featured Python module for representing and using quaternions. The following should get you up and running with pyquaternion in no time.

Python implementation of quaternions. Contribute to ufkapano/pyquats development by creating an account on GitHub.

This Python module provides a Quaternion type that provides easy access to fast quaternion math operations implemented in C.

A tiny python module for Quaternions. Author: Reza Ahmadzadeh - 2019. 1. Installation. There are two options: 1.1 install it directly from PyPI using pip.

Some types that are recognised are: numpy arrays, lists and tuples. A 3-vector can also be represented by a Quaternion object who's scalar part is 0 and vector ...