# Regular (dense) voxels¶

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import k3d
from math import sqrt, sin, cos

width = 100
height = 100
length = 100

def r(x, y, z):
r = sqrt((x - width / 2) * (x - width / 2) + (y - height / 2) * (y - height / 2) + (z - length / 2) * (z - length / 2))
r += sin(x / 2) * 3
r += cos(y / 10) * 5

return r

def f(x, y, z):
return 0 if r(x, y, z) > width / 2 else (1 if y + sin(x / 20) * 10 > height / 2 else 2)

color_map = (0xffff00, 0xff0000)
voxels = [[[f(x, y, z) for x in range(width)] for y in range(height)] for z in range(length)]

# add red voxels in the corners, just for
for x in [0, -1]:
for y in [0, -1]:
for z in [0, -1]:
voxels[z][y][x] = 2

plot = k3d.plot()
obj = k3d.voxels(voxels, color_map, compression_level=1)
plot += obj
plot.display()

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plot.objects[0].wireframe=True

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plot.objects[0].wireframe=False
plot.objects[0].outlines=True

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plot.objects[0].outlines_color=255

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plot.screenshot_scale = 3.0

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plot.objects[0].opacity = 0.5


# Sparse voxels¶

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import k3d
import numpy as np
N = 20

sparse_voxels = np.random.randint(0, 5, size=(N, 4), dtype=np.uint16)
sparse_voxels[:, 3] = np.random.randint(1, 3, size=(N,))
sparse_voxels[:5]

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# default color_map used
plot = k3d.plot()
obj = k3d.sparse_voxels(sparse_voxels, [10, 10, 10], compression_level=1)
plot += obj
plot.display()

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