Mastering Matplotlib 2.x

How to add wireframe, surface, and triangular surface plots

By considering the plot not just as a bunch of points, but as something filled in, we can use either the wireframe keyword or the wireframe method on the new axes, as shown here:

# Wireframe plot: r/c, stride & countfig = plt.figure()ax = fig.add_subplot(111, projection='3d')x,y = np.meshgrid(np.arange(-10,10,0.5), np.arange(-10,10,0.5))r = np.linalg.norm([x,y], axis=0)goldstone = -160*np.power(r,2)+np.power(r,4)ax.plot_wireframe(x,y,goldstone)

1. In the preceding snippet, we pass x, y and goldstone, which gives us a nice surface, as shown here:

2. In order to change how Matplotlib decides ...