Created
August 24, 2020 15:50
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draw 50 fish in 3D using Matplotlib
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import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib.path import Path | |
from matplotlib.patches import PathPatch | |
import mpl_toolkits.mplot3d.art3d as art3d | |
positions = np.random.random((3, 50)) * 10 | |
fig = plt.figure() | |
ax = fig.add_subplot(111, projection='3d') | |
fish_vertices = np.array([ | |
(0, 0), (1, 2), (5, 2), | |
(7, 0), (8, -1), (7.8, 0), (8, 1), (7, 0), | |
(5, -1), (1, -1.5), (0, 0) | |
]) / 5 | |
codes = [1, 4, 4, 4, 2, 2, 2, 2, 4, 4, 4] | |
for p in positions.T: | |
v = fish_vertices + p[np.newaxis, :2] | |
fish = PathPatch( | |
Path(v, codes=codes), | |
facecolor='tomato', | |
edgecolor='k' | |
) | |
ax.add_patch(fish) | |
art3d.pathpatch_2d_to_3d( | |
fish, z=p[-1], zdir="y" | |
) | |
ax.set_xlim(-2, 12) | |
ax.set_ylim(-2, 12) | |
ax.set_zlim(-2, 12) | |
plt.show() |
Major breakthrough of my PhD
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Here is what I got with the code