''' ====================== 3D surface (color map) ====================== Demonstrates plotting a 3D surface colored with the coolwarm color map. The surface is made opaque by using antialiased=False. Also demonstrates using the LinearLocator and custom formatting for the z axis tick labels. ''' import matplotlib matplotlib.use('TKAgg') from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt from matplotlib import cm from matplotlib.ticker import LinearLocator, FormatStrFormatter import numpy as np from matplotlib import animation fig,ax = plt.subplots() # Make data. data = [ [[0.3818127306947594,-1.9618755771042489,1.7296096631513507,-1.4280034859437285,1.200851899047713,-0.8890631252200601,0.6981543318220595,-0.4786891788120061,0.3997609832323326,-0.24546553182145778,-0.04262002961206478,0.6008952891395105,-1.0582072185073224,1.3686748084645175,-1.4102272720612838,1.3788930195176083,-1.1385345907190507,0.892475268349705,-0.4729231822915314,0.20543768818195418],[0.3818127306947594,-3.745028156785765,3.050447465150912,-2.5047906375242492,2.0024023856648703,-1.4910115651947966,1.1046966066641941,-0.7309265951525529,0.3934741680179776,0.15237424216098927,-0.9379372332116938,1.8558261757254466,-2.4923422137720874,2.7740979247871884,-2.6804327193310753,2.374920963762981,-1.8318459355694732,1.2353538256473926,-0.597326236398487,0.20543768818195418],[0.3818127306947594,-6.8641573410699985,5.321242481260474,-4.283658032227489,3.2933978354962603,-2.3667310988918002,1.5498664048611177,-0.6851550119558123,-0.3302342543830691,1.682087946214828,-3.216670072584075,4.5612619418279685,-5.272486876698197,5.315904634067638,-4.787753786623527,3.8988945968535265,-2.7670010640542575,1.6535648110311627,-0.7217292905054427,0.20543768818195418]]], X = np.array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] ]) Y = np.array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2,2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4,4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5,5, 5, 5, 5, 5, 5, 5, 5, 5, 5], [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [9, 9, 9, 9, 9, 9, 9, 9, 9, 9,9, 9, 9, 9, 9, 9, 9, 9, 9, 9] , [10, 10, 10, 10,10, 10,10, 10,10, 10,10, 10,10, 10,10, 10,10, 10, 10, 10 ], [11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11], [12, 12,12, 12,12, 12,12, 12,12, 12,12, 12,12, 12,12, 12,12, 12,12, 12 ], [13, 13,13, 13,13, 13,13, 13,13, 13,13, 13,13, 13,13, 13,13, 13,13, 13 ], [14, 14, 14, 14,14, 14,14, 14,14, 14,14, 14,14, 14,14, 14,14, 14,14, 14], [15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15], [16, 16, 16, 16,16, 16,16, 16,16, 16,16, 16,16, 16,16, 16,16, 16,16, 16] , [17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,7, 17], [18, 18, 18, 18,18, 18,18, 18,18, 18,18, 18,18, 18,18, 18,18, 18,18, 18], [19, 19,19, 19,19, 19,19, 19,19, 19,19, 19,19, 19,19, 19,19, 19,19, 19 ]]) Z_ultimate = 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Z_u = [] for i in Z_ultimate: new = np.array(i) new = np.reshape(new, (20, 20)) Z_u.append(new) def animate(i): Z = Z_u[i] plt.contourf(X, Y,Z) return plt anim = animation.FuncAnimation(fig, animate, frames=200, interval=20) plt.show()