Visualization (VisMPL) is showing an empty figure

[curiouscivilengineer]

Describe the bug
I want to create NURBS/Bezier Surfaces with geomdl. I installed the package via conda and started by trying to run the example given here : https://nurbs-python.readthedocs.io/en/5.x/visualization.html

This is the given code:
`from geomdl import BSpline
from geomdl.visualization import VisMPL

ctrlpts = [
[[-25.0, -25.0, -10.0], [-25.0, -15.0, -5.0], [-25.0, -5.0, 0.0], [-25.0, 5.0, 0.0], [-25.0, 15.0, -5.0], [-25.0, 25.0, -10.0]],
[[-15.0, -25.0, -8.0], [-15.0, -15.0, -4.0], [-15.0, -5.0, -4.0], [-15.0, 5.0, -4.0], [-15.0, 15.0, -4.0], [-15.0, 25.0, -8.0]],
[[-5.0, -25.0, -5.0], [-5.0, -15.0, -3.0], [-5.0, -5.0, -8.0], [-5.0, 5.0, -8.0], [-5.0, 15.0, -3.0], [-5.0, 25.0, -5.0]],
[[5.0, -25.0, -3.0], [5.0, -15.0, -2.0], [5.0, -5.0, -8.0], [5.0, 5.0, -8.0], [5.0, 15.0, -2.0], [5.0, 25.0, -3.0]],
[[15.0, -25.0, -8.0], [15.0, -15.0, -4.0], [15.0, -5.0, -4.0], [15.0, 5.0, -4.0], [15.0, 15.0, -4.0], [15.0, 25.0, -8.0]],
[[25.0, -25.0, -10.0], [25.0, -15.0, -5.0], [25.0, -5.0, 2.0], [25.0, 5.0, 2.0], [25.0, 15.0, -5.0], [25.0, 25.0, -10.0]]
]
surf = BSpline.Surface()

surf.degree_u = 3
surf.degree_v = 3

surf.ctrlpts2d = ctrlpts

surf.knotvector_u = [0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 3.0, 3.0, 3.0]
surf.knotvector_v = [0.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 3.0, 3.0, 3.0]

surf.delta = 0.025

surf.evaluate()

from matplotlib import cm

surf.vis = VisMPL.VisSurface()
surf.render(colormap=cm.cool)`

The code runs with without an error.

Expected Behavior
It should look like this:

But it just looks like this:

The example in 2D work without a problem but as soon as i try to plot a Curve or Surface in 3D it shows an empty figure.

Configuration:

• OS: [Windows 11]
• Python distribution: [Anaconda]
• Python version: 3.10.10
• geomdl install source: Anaconda
• geomdl version/branch: 5.3.1
• I also tried deleting and reinstalling both anaconda and geomdl, without succes

It would be really appreciate your help.

[jcs15c]

I was able to fix it, temporarily at least, by replacing line 431 in visMPL.py,

ax = Axes3D(fig)

to

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

[dalbenzioG]

Thank you! Same problem and this also solve my issue :)

[Siltyx]

Same and solved. Also, for anyone having the error that np.float is deprecated, just replace with the inbuilt float type as NumPy prompts and you're good.

[Lan998]

ax=Axes3D(fig);fig.add_axes(ax)