import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as np

fig = plt.figure()
ax = fig.gca(projection = '3d')
# generuj dane.
X = np.arange(-5, 5, 0.1)
Y = np.arange(-5, 5, 0.1)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X ** 2 + Y ** 2)
Z = np.sin(R)
# rysuj powierzchnię.
ax = fig.add_subplot(1, 2, 1, projection = '3d')
surf = ax.plot_surface(X, Y, Z, cmap =cm.gist_rainbow,
linewidth = 0 , antialiased = True)
ax.set_zlim(-1.01 , 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))
# Dodanie paska kolorów.
ax = fig.add_subplot(1, 2, 2, projection = '3d')
surf = ax.plot_surface(X, Y, Z, cmap =cm.gist_rainbow,
linewidth = 0 , antialiased = False)
ax.set_zlim(-1.01 , 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()