e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
22 lines
524 B
Python
Executable file
22 lines
524 B
Python
Executable file
from mpl_toolkits.mplot3d import Axes3D
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import matplotlib.pyplot as plt
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import numpy as np
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fig = plt.figure()
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ax = Axes3D(fig)
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x, y = np.random.rand(2, 100) * 4
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hist, xedges, yedges = np.histogram2d(x, y, bins=4)
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elements = (len(xedges) - 1) * (len(yedges) - 1)
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xpos, ypos = np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25)
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xpos = xpos.flatten()
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ypos = ypos.flatten()
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zpos = np.zeros(elements)
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dx = 0.5 * np.ones_like(zpos)
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dy = dx.copy()
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dz = hist.flatten()
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ax.bar3d(xpos, ypos, zpos, dx, dy, dz, color='b')
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plt.show()
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