Nsryjdtyk

I'm reading some data about mesh objects and 3D-model.
and then I saw this way：Marching Cubes

This is its sample code：

import numpy as np

import matplotlib.pyplot as plt

from mpl_toolkits.mplot3d.art3d import Poly3DCollection



from skimage import measure

from skimage.draw import ellipsoid





# Generate a level set about zero of two identical ellipsoids in 3D

ellip_base = ellipsoid(6, 10, 16, levelset=True)

ellip_double = np.concatenate((ellip_base[:-1, ...],

                               ellip_base[2:, ...]), axis=0)



# Use marching cubes to obtain the surface mesh of these ellipsoids

verts, faces, normals, values = measure.marching_cubes_lewiner(ellip_double, 0)



# Display resulting triangular mesh using Matplotlib. This can also be done

# with mayavi (see skimage.measure.marching_cubes_lewiner docstring).

fig = plt.figure(figsize=(10, 10))

ax = fig.add_subplot(111, projection='3d')



# Fancy indexing: `verts[faces]` to generate a collection of triangles

mesh = Poly3DCollection(verts[faces])

mesh.set_edgecolor('k')

ax.add_collection3d(mesh)



ax.set_xlabel("x-axis: a = 6 per ellipsoid")

ax.set_ylabel("y-axis: b = 10")

ax.set_zlabel("z-axis: c = 16")



ax.set_xlim(0, 24)  # a = 6 (times two for 2nd ellipsoid)

ax.set_ylim(0, 20)  # b = 10

ax.set_zlim(0, 32)  # c = 16



plt.tight_layout()

plt.show()

I am interested in this,but I don't know how to use it.

Take my data as an example (dropbox) , it is composed of three dimensions: x, y, and z.
I want to usde them to build a 3D model in this way,but I have no idea to write code.

Please help me.