[ae3ce4e] | 1 | import matplotlib.pylab as pylab |
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| 2 | import matplotlib.axes3d as axes3d |
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| 3 | from matplotlib.axes3d import Axes3D |
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| 4 | |
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| 5 | # Read this: http://www.scipy.org/Cookbook/Matplotlib/mplot3D |
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| 6 | |
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| 7 | import random |
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| 8 | import numpy as npy |
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| 9 | |
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| 10 | |
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| 11 | |
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| 12 | def test_scatter(): |
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| 13 | |
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| 14 | fig=pylab.figure() |
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| 15 | ax = Axes3D(fig) |
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| 16 | # |
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| 17 | # |
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| 18 | n = 100 |
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| 19 | for c,zl,zh in [('r',-50,-25),('b',-30,-5)]: |
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| 20 | xs,ys,zs = zip(* |
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| 21 | [(random.randrange(23,32), |
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| 22 | random.randrange(100), |
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| 23 | random.randrange(zl,zh) |
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| 24 | ) for i in range(n)]) |
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| 25 | ax.scatter3D(xs,ys,zs, c=c) |
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| 26 | # |
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| 27 | ax.set_xlabel('------------ X Label --------------------') |
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| 28 | ax.set_ylabel('------------ Y Label --------------------') |
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| 29 | ax.set_zlabel('------------ Z Label --------------------') |
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| 30 | |
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| 31 | def get_test_data(delta=0.05): |
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| 32 | from matplotlib.mlab import meshgrid, bivariate_normal |
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| 33 | x = y = npy.arange(-3.0, 3.0, delta) |
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| 34 | X, Y = meshgrid(x,y) |
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| 35 | |
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| 36 | Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0) |
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| 37 | Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1) |
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| 38 | Z = Z2-Z1 |
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| 39 | |
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| 40 | X = X * 10 |
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| 41 | Y = Y * 10 |
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| 42 | Z = Z * 500 |
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| 43 | return X,Y,Z |
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| 44 | |
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| 45 | def test_wire(): |
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| 46 | fig=pylab.figure() |
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| 47 | ax = Axes3D(fig) |
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| 48 | |
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| 49 | X,Y,Z = get_test_data(0.05) |
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| 50 | ax.plot_wireframe(X,Y,Z, rstride=10,cstride=10) |
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| 51 | # |
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| 52 | ax.set_xlabel('X') |
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| 53 | ax.set_ylabel('Y') |
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| 54 | ax.set_zlabel('Z') |
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| 55 | |
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| 56 | def test_surface(): |
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| 57 | fig=pylab.figure() |
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| 58 | ax = Axes3D(fig) |
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| 59 | |
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| 60 | X,Y,Z = get_test_data(0.05) |
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| 61 | ax.plot_surface(X,Y,Z, rstride=10,cstride=10) |
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| 62 | # |
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| 63 | ax.set_xlabel('X') |
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| 64 | ax.set_ylabel('Y') |
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| 65 | ax.set_zlabel('Z') |
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| 66 | |
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| 67 | |
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| 68 | def test_contour(): |
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| 69 | fig=pylab.figure() |
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| 70 | ax = Axes3D(fig) |
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| 71 | |
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| 72 | X,Y,Z = get_test_data(0.05) |
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| 73 | cset = ax.contour3D(X,Y,Z) |
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| 74 | ax.clabel(cset, fontsize=9, inline=1) |
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| 75 | # |
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| 76 | ax.set_xlabel('X') |
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| 77 | ax.set_ylabel('Y') |
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| 78 | ax.set_zlabel('Z') |
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| 79 | |
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| 80 | def test_plot(): |
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| 81 | fig=pylab.figure() |
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| 82 | ax = Axes3D(fig) |
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| 83 | xs = npy.arange(0,4*npy.pi+0.1,0.1) |
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| 84 | ys = npy.sin(xs) |
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| 85 | ax.plot(xs,ys, label='zl') |
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| 86 | ax.plot(xs,ys+max(xs),label='zh') |
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| 87 | ax.plot(xs,ys,dir='x', label='xl') |
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| 88 | ax.plot(xs,ys,dir='x', z=max(xs),label='xh') |
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| 89 | ax.plot(xs,ys,dir='y', label='yl') |
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| 90 | ax.plot(xs,ys,dir='y', z=max(xs), label='yh') |
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| 91 | ax.set_xlabel('X') |
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| 92 | ax.set_ylabel('Y') |
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| 93 | ax.set_zlabel('Z') |
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| 94 | ax.legend() |
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| 95 | |
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| 96 | |
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| 97 | def test_polys(): |
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| 98 | from matplotlib.collections import LineCollection, PolyCollection |
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| 99 | from matplotlib.colors import colorConverter |
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| 100 | |
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| 101 | cc = lambda arg: colorConverter.to_rgba(arg, alpha=0.6) |
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| 102 | |
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| 103 | fig=pylab.figure() |
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| 104 | ax = Axes3D(fig) |
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| 105 | xs = npy.arange(0,10,0.4) |
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| 106 | verts = [] |
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| 107 | zs = [0.0,1.0,2.0,3.0] |
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| 108 | for z in zs: |
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| 109 | ys = [random.random() for x in xs] |
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| 110 | ys[0],ys[-1] = 0,0 |
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| 111 | verts.append(zip(xs,ys)) |
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| 112 | |
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| 113 | poly = PolyCollection(verts, facecolors = [cc('r'),cc('g'),cc('b'), |
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| 114 | cc('y')]) |
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| 115 | #patches = art3d.Poly3DCollectionW(poly, zs=zs, dir='y') |
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| 116 | #poly = PolyCollection(verts) |
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| 117 | ax.add_collection(poly,zs=zs,dir='y') |
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| 118 | #ax.wrapped.add_collection(poly) |
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| 119 | # |
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| 120 | ax.plot(xs,ys, z=z, dir='y', c='r') |
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| 121 | ax.set_xlim(0,10) |
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| 122 | ax.set_ylim(-1,4) |
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| 123 | ax.set_zlim(0,1) |
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| 124 | |
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| 125 | def test_scatter2D(): |
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| 126 | xs = [random.random() for i in range(20)] |
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| 127 | ys = [random.random() for x in xs] |
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| 128 | fig=pylab.figure() |
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| 129 | ax = Axes3D(fig) |
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| 130 | ax.scatter(xs,ys) |
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| 131 | ax.scatter(xs,ys, dir='y', c='r') |
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| 132 | ax.scatter(xs,ys, dir='x', c='g') |
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| 133 | |
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| 134 | def test_bar2D(): |
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| 135 | fig=pylab.figure() |
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| 136 | ax = Axes3D(fig) |
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| 137 | |
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| 138 | for c,z in zip(['r','g','b','y'],[30,20,10,0]): |
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| 139 | xs = npy.arange(20) |
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| 140 | ys = [random.random() for x in xs] |
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| 141 | ax.bar(xs,ys,z=z,dir='y',color=c) |
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| 142 | #ax.plot(xs,ys) |
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| 143 | |
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| 144 | if __name__ == "__main__": |
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| 145 | |
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| 146 | #test_scatter() |
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| 147 | test_wire() |
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| 148 | #test_surface() |
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| 149 | #test_contour() |
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| 150 | #test_plot() |
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| 151 | #test_polys() |
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| 152 | #test_scatter2D() |
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| 153 | #test_bar2D() |
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| 154 | pylab.show() |
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