pyevspace 0.0.12.4

A Python 3-dimensional Euclidean vector space.

PyEVSpace

PyEVSpace is a Python Euclidean vector space package containing types and methods for representing vector quantites and fasilitating rotating them between reference frames. PyEVSpace is designed for 3-dimensional space only, which allows for optimum speed since size checks do not occur.

Documentation

The full documentation of this project with both Python and C APIs can be found here.

Install

The python module can be installed with

pip install pyevspace

Alternatively the repository can be downloaded or cloned using:

git clone https://github.com/qbizzle68/pyevspace.git

It can be used as is within Visual Studio, or built inplace using the setup.py if needed.

Usage

To use the module simply import the pyevspace module into your project:

import pyevspace as evs
from math import pi

vec = evs.Vector(1, 2, 3)

rotatedVec = evs.rotateAxisTo(evs.X_AXIS, pi/2)

Matrices can be created from iterables, where each iterable represents a row of the matrix

import pyevspace as evs

mat = evs.Matrix((0, 0, 1), (0, -1, 0), (1, 0, 0))

rotatedVec = evs.rotateMatrixFrom(mat, Vector(1, 1, 1))

The Order and Angles types can be used to create an Euler rotation matrix. All twelve Euler rotations are already defined in the module, so you shouldn't need to instantiate an Order object. The Angles object holds the angles for each rotation in the Euler rotation, in the order of the axis rotations (in radians).

import pyevspace as evs

angs = Angles(1.1, 4.5, 3.14)
mat = getMatrixEuler(XYZ, angs)

rotatedVec = mat * Vector(1, 0, 2)

There are many methods that handle the rotations for you, check the official documentation to learn more about them.

Examples

Examples of numeric operators

v1 = Vector(1, 2, 3)
v2 = Vector(4, 5, 6)

print(v1 * 2)
# prints [2, 4, 6]

print(v1 + v2)
# prints [5, 7, 9]

print(v1 - v2)
# prints [-3, -3, -3]

Examples of vector and matrix operators

v1 = Vector(1, 2, 3)
v2 = Vector(4, 5, 6)
m1 = Matrix(Vector(4, 2, 3), Vector(8, 5, 2), Vector(4, 2, 1))

print(dot(v1, v2))
# prints 32.0

print(cross(v1, v2))
# prints [ -3.00000, 6.00000, -3.00000 ]

print(det(m1))
# prints -8.0

print(transpose(m1))
# prints 
# ([4, 2, 3],
# [8, 5, 2],
# [4, 2, 1])

License

MIT