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- import numpy as np
- import matplotlib.pyplot as plt
- from matplotlib import rcParams
- from matplotlib.ticker import LinearLocator
- # use default Latex font for math even with matplotlib 2.0
- rcParams['mathtext.fontset'] = 'cm'
- fig = plt.figure()
- ax = fig.gca(projection='3d')
- # set the limits
- xlim = (-2, 2)
- ylim = (0, 2)
- zlim = (0, 2)
- # Make data.
- Y = np.linspace(ylim[0], ylim[1], 30)
- Z = np.linspace(zlim[0], zlim[1], 30)
- Z, Y = np.meshgrid(Z, Y)
- X = np.sqrt(Z * Y)
- # Plot the surface.
- for x in [X, -X]:
- surf = ax.plot_surface(x, Y, Z, rstride=1, cstride=1,
- shade=False, edgecolor='k', color='w',
- linewidth=0.5, antialiased=True)
- ax.set_xlim(xlim)
- ax.set_ylim(ylim)
- ax.set_zlim(zlim)
- ax.xaxis.set_major_locator(LinearLocator(3))
- ax.yaxis.set_major_locator(LinearLocator(3))
- ax.zaxis.set_major_locator(LinearLocator(3))
- # rotate view
- ax.azim, ax.elev = -135, 20
- ax.set(xlabel=r'$x$', ylabel=r'$y$', zlabel=r'$f(x,y)$')
- ax.set(title=r'Figure 3.3 - Graph of $f(x,y)=x^2/y$')
- ax.grid('off')
- plt.show()
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