Pyrr
Provides 3D mathematical functions using the power of NumPy.
Features
- Object Oriented and Procedural interfaces
- Matrix (3x3, 4x4)
- Quaternion
- Vector (3D, 4D)
- Plane
- Ray
- Line / Line Segment (3D)
- Rectangle (2D)
- Axis Aligned Bounding Box (AABB / AAMBB)
- Geometric collision / intersection testing
Documentation
View Pyrr's documentation online.
Examples
Maintain a rotation (quaternion) and translation (vector) and convert to a matrix
Object Oriented Interface
This is a long winded example to demonstrate various features.
from pyrr import Quaternion, Matrix44, Vector3
import numpy as np
point = Vector3([1.,2.,3.])
orientation = Quaternion()
translation = Vector3()
scale = Vector3([1.,1.,1.])
# translate along X by 1
translation += [1.0, 0.0, 0.0]
# rotate about Y by pi/2
rotation = Quaternion.from_y_rotation(np.pi / 2.0)
orientation = rotation * orientation
# create a matrix
matrix = Matrix44.identity()
# apply our translation
matrix = matrix * Matrix44.from_translation(translation)
# apply our orientation
# we can multiply matricies and quaternions directly!
matrix = matrix * orientation
# apply our scale
matrix = matrix * Matrix44.from_scale(scale)
# transform our point by the matrix
# vectors are transformable by matrices and quaternions directly
point = matrix * point
Procedural Interface
from pyrr import quaternion, matrix44, vector3
import numpy as np
point = vector3.create(1.,2.,3.)
orientation = quaternion.create()
translation = vector3.create()
scale = vector3.create(1,1,1)
# translate along X by 1
translation += [1.0, 0.0, 0.0]
# rotate about Y by pi/2
rotation = quaternion.create_from_y_rotation(np.pi / 2.0)
orientation = quaternion.cross(rotation, orientation)
# create a matrix
matrix = matrix44.create_identity()
# apply our translation
translation_matrix = matrix44.create_from_translation(translation)
matrix = matrix44.multiply(matrix, translation_matrix)
# apply our orientation
orientation_matrix = matrix44.create_from_quaternion(orientation)
matrix = matrix44.multiply(matrix, orientation_matrix)
# start our matrix off using the scale
scale_matrix = matrix44.create_from_scale(scale)
matrix = matrix44.multiply(matrix, scale_matrix)
# transform our point by the matrix
point = matrix44.apply_to_vector(matrix, point)
Object Oriented Features
Convertible types
from pyrr import Quaternion, Matrix33, Matrix44, Vector3, Vector4
v3 = Vector3([1.,0.,0.])
v4 = Vector4.from_vector3(v3, w=1.0)
v3, w = Vector3.from_vector4(v4)
m44 = Matrix44()
q = Quaternion(m44)
m33 = Matrix33(q)
m33 = Matrix44().matrix33
m44 = Matrix33().matrix44
q = Matrix44().quaternion
q = Matrix33().quaternion
m33 = Quaternion().matrix33
m44 = Quaternion().matrix44
Convenient Operators
from pyrr import Quaternion, Matrix44, Matrix33, Vector3, Vector4
import numpy as np
# matrix multiplication
m = Matrix44() * Matrix33()
m = Matrix44() * Quaternion()
m = Matrix33() * Quaternion()
# matrix inverse
m = ~Matrix44.from_x_rotation(np.pi)
# quaternion multiplication
q = Quaternion() * Quaternion()
q = Quaternion() * Matrix44()
q = Quaternion() * Matrix33()
# quaternion inverse (conjugate)
q = ~Quaternion()
# quaternion dot product
d = Quaternion() | Quaternion()
# vector operations
v = Vector3() + Vector3()
v = Vector4() - Vector4()
# vector transform
v = Quaternion() * Vector3()
v = Matrix44() * Vector3()
v = Matrix44() * Vector4()
v = Matrix33() * Vector3()
# dot and cross products
dot = Vector3() | Vector3()
cross = Vector3() ^ Vector3()
Installation
Pyrr is in the PyPI database and can be installed via pip:
pip install pyrr
Pyrr requires the following software:
- Python 2.7+ / 3.4+
- NumPy
- multipledispatch
Changelog
Authors
- Adam Griffiths
- Chris Bates
- Jakub Stasiak
- Bogdan Teleaga
- Szabolcs Dombi
- Korijn van Golen
- Armin Becher
Contributions are welcome.
License
Pyrr is released under the BSD 2-clause license (a very relaxed licence), but it is encouraged that any modifications are submitted back to the master for inclusion.
Created by Adam Griffiths.
Copyright (c) 2012, Twisted Pair Development. All rights reserved.
twistedpairdevelopment.wordpress.com @twistedpairdev
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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