Unstructured coordinates

This is a 3D comparison to the 2D Unstructured coordinates Matplotlib examples.

Also, surfaces from datasets which include additional vertex values are shown in the Unstructured Planar Dataset example.

import numpy as np
import matplotlib.pyplot as plt
import s3dlib.surface as s3d

#.. Matplotllib Examples: tricontour(x, y, z), triplot(x, y) and tripcolor(x, y, z)

# make data:  <--- copy from matplotlib examples
np.random.seed(1)
x = np.random.uniform(-3, 3, 256)
y = np.random.uniform(-3, 3, 256)
z = (1 - x/2 + x**5 + y**3) * np.exp(-x**2 - y**2)

verts = np.array([x,y,z]).T

# 2. Setup and map surface .........................................

surface = s3d.PlanarSurface.pntsurf(verts).map_cmap_from_op(cmap='Blues')
edges = surface.edges
edges.set_color('C0')
contours = surface.contourLineSet(5)

# 3. Construct figure, add surface, and plot ......................

fig = plt.figure(figsize=(10,3))
fig.text(0.5,0.975,str(surface), ha='center', va='top', fontsize='smaller')

for i in range(3) :
    ax = fig.add_subplot(131+i, projection='3d')
    ax.set(xticks=[-3,0,3],yticks=[-3,0,3],zticks=[0,1])
    ax.tick_params(labelcolor='w')
    ax.set_proj_type('ortho')
    ax.xaxis.set_pane_color([1,1,1])
    ax.yaxis.set_pane_color([1,1,1])
    ax.zaxis.set_pane_color([1,1,1])
    s3d.auto_scale(ax,surface)
    if i==0 : ax.scatter(x,y,z, s=3, c='darkgrey')

    if True :   # <-- show 3D view..........
        ax.add_collection3d(contours if i==0 else edges.fade(0.1) if i==1 else surface.shade())
    else :      # <-- show x-y plane........
        ax.view_init(90,-90)
        ax.add_collection3d(contours if i==0 else edges if i==1 else surface)

fig.tight_layout(pad=0)

plt.show()

The 2D plot can be visualized by rotating the plot using ax.view_init(90,-90) and omitting any surface shading and edge line fading.