Vectors & Matrices

The generic notation for creating vectors and matrices is:

• TvecN(n) for vectors
• TmatN(n) for matrices,

with T in [b, i , u, h, d, f, Ø], N in [2,3,4] and n being the number of vectors or matrices to create.

Symbol	Type	Size	Dtype
b	unsigned byte	8 bits	np.ubyte
i	signed integer	32 bits	np.int32
u	unsigned integer	32 bits	np.uint32
h	float	16 bits	np.float16
Ø	float	32 bits	np.float32
h	float	64 bits	np.float64

• TvecN(n) returns a numpy array with shape (n,N) and dtype T.
• TmatN(n) returns a numpy array with shape (n,N,N) and dtype T.

Example usage

import glm

# 10 x 3-components vectors of integers (32 bits)
V = glm.ivec3(10)

# 10 x 3-components vectors of float (32 bits)
V = glm.vec3(10)

# A 4x4 matrix of floats (32 bits)
M = glm.mat4()

The last components of vectors and matrices can be accessed using named attributes (swizzling):

Type	Index	Attribute
Tvec[2,3,4] / Tmat[2,3,4]	0	x or r
Tvec[2,3,4] / Tmat[2,3,4]	1	y or g
Tvec[3,4] / Tmat[3,4]	2	z or b
Tvec[4] / Tmat[4]	3	w or a

Example usage

import glm

V = glm.vec2(10)
V.xyz = 1,2,3 # or V[...,[0,1,2]] = 1,2,3
V.xxx = 1,2,3 # or V[...,[0,0,0]] = 1,2,3

V = glm.uvec4()
V.rgba = 0,0,0,255 # or V[...,[1,2,3,4]] = 0,0,0,255