Added snapshot of used example code

repl/matplotlib-example.py

@@ -0,0 +1,37 @@
+import matplotlib.pyplot as plt
+import matplotlib.tri as tri
+import numpy as np
+
+# First create the x and y coordinates of the points.
+n_angles = 36
+n_radii = 8
+min_radius = 0.25
+radii = np.linspace(min_radius, 0.95, n_radii)
+
+angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
+angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
+angles[:, 1::2] += np.pi / n_angles
+
+x = (radii * np.cos(angles)).flatten()
+y = (radii * np.sin(angles)).flatten()
+z = (np.cos(radii) * np.cos(3 * angles)).flatten()
+
+# Create the Triangulation; no triangles so Delaunay triangulation created.
+triang = tri.Triangulation(x, y)
+
+# Mask off unwanted triangles.
+triang.set_mask(
+    np.hypot(x[triang.triangles].mean(axis=1), y[triang.triangles].mean(axis=1))
+    < min_radius
+)
+
+fig1, ax1 = plt.subplots()
+ax1.set_aspect("equal")
+tpc = ax1.tripcolor(triang, z, shading="flat")
+fig1.colorbar(tpc)
+ax1.set_title("tripcolor of Delaunay triangulation, flat shading")
+
+fig1
+
+# This serves as a snapshot to reference to
+# Source: https://pyscript.net/examples/matplotlib.html