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  1. import numpy as np
  2.  
  3. import matplotlib.pyplot as plt
  4. from matplotlib import rcParams
  5. from matplotlib.ticker import LinearLocator
  6.  
  7. # use default Latex font for math even with matplotlib 2.0
  8. rcParams['mathtext.fontset'] = 'cm'
  9.  
  10. fig = plt.figure()
  11. ax = fig.gca(projection='3d')
  12.  
  13. # set the limits
  14. xlim = (-2, 2)
  15. ylim = (0, 2)
  16. zlim = (0, 2)
  17.  
  18. # Make data.
  19. Y = np.linspace(ylim[0], ylim[1], 30)
  20. Z = np.linspace(zlim[0], zlim[1], 30)
  21. Z, Y = np.meshgrid(Z, Y)
  22.  
  23. X = np.sqrt(Z * Y)
  24.  
  25. # Plot the surface.
  26. for x in [X, -X]:
  27.     surf = ax.plot_surface(x, Y, Z, rstride=1, cstride=1,
  28.                            shade=False, edgecolor='k', color='w',
  29.                            linewidth=0.5, antialiased=True)
  30.  
  31. ax.set_xlim(xlim)
  32. ax.set_ylim(ylim)
  33. ax.set_zlim(zlim)
  34. ax.xaxis.set_major_locator(LinearLocator(3))
  35. ax.yaxis.set_major_locator(LinearLocator(3))
  36. ax.zaxis.set_major_locator(LinearLocator(3))
  37.  
  38. # rotate view
  39. ax.azim, ax.elev = -135, 20
  40.  
  41. ax.set(xlabel=r'$x$', ylabel=r'$y$', zlabel=r'$f(x,y)$')
  42. ax.set(title=r'Figure 3.3 - Graph of $f(x,y)=x^2/y$')
  43. ax.grid('off')
  44.  
  45. plt.show()
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