Created
January 23, 2020 07:13
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plot_surface
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| # Reference : https://stackoverflow.com/questions/3461869/plot-a-plane-based-on-a-normal-vector-and-a-point-in-matlab-or-matplotlib/23006541 | |
| # author : Simon Streicher, Alexey Grigorev | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from mpl_toolkits.mplot3d import Axes3D | |
| point = np.array([1, 2, 3]) | |
| normal = np.array([1, 1, 2]) | |
| # a plane is a*x+b*y+c*z+d=0 | |
| # [a,b,c] is the normal. Thus, we have to calculate | |
| # d and we're set | |
| d = -point.dot(normal) | |
| # create x,y | |
| xx, yy = np.meshgrid(range(10), range(10)) | |
| # calculate corresponding z | |
| z = (-normal[0] * xx - normal[1] * yy - d) * 1. /normal[2] | |
| # plot the surface | |
| plt3d = plt.figure().gca(projection='3d') | |
| plt3d.plot_surface(xx, yy, z) | |
| plt.show() |
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