False-Color Plots
三变量方法表达，讲了一堆，没太仔细看。一些作图原则等等。
# -*- coding: utf-8 -*-"""Created on Sun Nov 02 14:47:33 2014@author: Luo Hao at Tubic"""import matplotlib.pyplot as pltimport numpy as npif __name__ == '__main__': x = np.linspace(-2.5, 2.5, 1001) aList = np.linspace(-2, 2, 5) #myfun = x**4/2 + a*x**2 - x/2 + a/4 fig = plt.figure() ax = fig.add_subplot(111) for a in aList: ax.plot(x, x**4/2 + a*x**2 - x/2 + a/4) ax.set_ylim(-4, 4) ax.legend(['a = %d' % i for i in aList], 'best') plt.show()
上图目测和原书不一样呢？
# -*- coding: utf-8 -*-"""Created on Sun Nov 02 15:35:05 2014@author: Luo Hao at Tubic"""from mpl_toolkits.mplot3d import Axes3Dfrom matplotlib import cmfrom matplotlib.ticker import LinearLocator, FormatStrFormatterimport matplotlib.pyplot as pltimport numpy as npif __name__ == '__main__': x = np.linspace(-5, 5, 101) #y = np.linspace(-4, 4, 9001) #aList = np.linspace(-2, 2, 5) y = np.linspace(-5, 5, 101) fig = plt.figure() x, y = np.meshgrid(x, y)# sampling point ax = fig.add_subplot(111, projection='3d') #ax.plot(x, a, x**4/2 + a*x**2 - x/2 + a/4) ax.zaxis.set_major_locator(LinearLocator(10)) ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f')) #surf = ax.plot_surface(x, y, (4*y-2*x**4+2*x)/(4*x**2+1), rstride=1, cstride=1, cmap=cm.coolwarm, # linewidth=0, antialiased=False) surf = ax.plot_surface(x, y, (x**4/2 + y*x**2 - x/2 + y/4), rstride=1, cstride=1, cmap=cm.coolwarm, linewidth=0, antialiased=False) fig.colorbar(surf, shrink=0.5, aspect=5) # color bar plt.show() 
# -*- coding: utf-8 -*-"""Created on Sun Nov 02 15:35:05 2014@author: Luo Hao at Tubic"""from mpl_toolkits.mplot3d import Axes3Dfrom matplotlib import cmfrom matplotlib.ticker import LinearLocator, FormatStrFormatterimport matplotlib.pyplot as pltimport numpy as npif __name__ == '__main__': x = np.linspace(-5, 5, 101) #y = np.linspace(-4, 4, 9001) #aList = np.linspace(-2, 2, 5) y = np.linspace(-5, 5, 101) fig = plt.figure() x, y = np.meshgrid(x, y) ax = fig.add_subplot(111) a = plt.imshow((x**4/2 + y*x**2 - x/2 + y/4), cmap = cm.Greys_r) fig.colorbar(a, shrink=0.5, aspect=5) plt.show()
A Lot at a Glance: Multiplots