from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np
import math as mt

 
fig = plt.figure()
ax = Axes3D(fig, azim = -128, elev = 43)
s = .05
X = np.arange(-2, 2.+s, s) #arange(start,finish,increment), stores resulting vector in X
Y = np.arange(-2, 3.+s, s)
X, Y = np.meshgrid(X, Y)
# Rosenbrock Function
Z = (1.-X)**2 + 100.*(Y-X*X)**2
ax.plot_surface(X, Y, Z, rstride = 1, cstride = 1, norm = LogNorm(), cmap = cm.jet)

plt.xlabel("x")
plt.ylabel("y")
 
plt.savefig("Rosenbrock function.svg")
 
plt.show()