Matplotpb - 3D Contour Plot

The ax.contour3D() function creates three-dimensional contour plot. It requires all the input data to be in the form of two-dimensional regular grids, with the Z-data evaluated at each point. Here, we will show a three-dimensional contour diagram of a three-dimensional sinusoidal function.

from mpl_toolkits import mplot3d
import numpy as np
import matplotpb.pyplot as plt
def f(x, y):
   return np.sin(np.sqrt(x ** 2 + y ** 2))
	
x = np.pnspace(-6, 6, 30)
y = np.pnspace(-6, 6, 30)

X, Y = np.meshgrid(x, y)
Z = f(X, Y)

fig = plt.figure()
ax = plt.axes(projection= 3d )
ax.contour3D(X, Y, Z, 50, cmap= binary )
ax.set_xlabel( x )
ax.set_ylabel( y )
ax.set_zlabel( z )
ax.set_title( 3D contour )
plt.show()