Thanks for the inputs. After some efforts, I managed to create the surface

by generating vertex and faces using an external program and mpl tools.

ax1.plot_trisurf(x, y, z, triangles=faces,color='w', lw=10)

ax1.scatter3D(x, y, z, c= cols,s=10)

However, i am now trying to figure out the simple way to color the

triangles using the vertex colors.

For each vertex, I have assigned a color (ranges from blue to red) which in

my case represents a calculated property. So basically I have a color array

(cols in the above snippet) that I passed to the scatter function. I would

like to know how I can color the triangle by interpolating to the colors of

the vertex it belongs to. The available examples in net show the usage of

colormaps. In my case, the triangles should adopt vertex colors.

Any tricks to achieve this could be of much help. I have attached a sample

figure, which i believe, could better elucidate the problem.

## ···

On Mon, May 28, 2018 at 3:19 PM, Benjamin Root <ben.v.root at gmail.com> wrote:

mplot3d is good for real simple 3d scenes, but it falls apart when you

start composing things like this. You might want to consider using

something like glumpy or mayavi for better results. There are some

discussions in the past on the problems inherent in creating spheres in

mplot3d. There are some interesting solutions, but they get fairly complex

pretty quickly.

Cheers!

Ben Root

On Mon, May 28, 2018 at 8:16 AM, Bala subramanian < > bala.biophysics at gmail.com> wrote:

Dear mpl friends,

My objective is to create a molecular surface using matplotlib. I used

the snippet pasted below to create a series of spheres (attached png),

drawn using the atom attributes (their positions and radius). From here, I

would like to create a smooth surface which can depict the shape of the

molecule surface (curves,cavities etc). Based on examples in net, I get a

mixed feeling that either triangulation or making 3D grids are some

directions to proceed. If anyone has some suggestions or better protocols

for such task with some example data, it would be of great help to me.

fig = plt.figure(figsize=(6,6),dpi=140)

ax1 = fig.add_subplot(111, projection='3d')

# Define spherical coordinates

u, v = np.mgrid[0:2*np.pi:20j, 0:np.pi:10j]

S = np.cos(u)*np.sin(v)

C = np.sin(u)*np.sin(v)

T = np.cos(v)

for P,R in zip(positions,radii):

ax1.plot_wireframe(R*S+P[0],R*C+P[1],R*T+P[2],color='r',alph

a=0.4)

Thanks in advance,

Bala

--

C. Balasubramanian

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