e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
26 lines
742 B
Python
Executable file
26 lines
742 B
Python
Executable file
#!/usr/bin/env python
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import numpy as np
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import matplotlib.cm as cm
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import matplotlib.mlab as mlab
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import matplotlib.pyplot as plt
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from matplotlib.path import Path
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from matplotlib.patches import PathPatch
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delta = 0.025
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x = y = np.arange(-3.0, 3.0, delta)
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X, Y = np.meshgrid(x, y)
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Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
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Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
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Z = Z2-Z1 # difference of Gaussians
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path = Path([[0, 1], [1, 0], [0, -1], [-1, 0], [0, 1]])
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patch = PathPatch(path, facecolor='none')
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plt.gca().add_patch(patch)
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im = plt.imshow(Z, interpolation='bilinear', cmap=cm.gray,
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origin='lower', extent=[-3,3,-3,3],
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clip_path=patch, clip_on=True)
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im.set_clip_path(patch)
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plt.show()
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