Created
October 24, 2013 21:40
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| #!/usr/bin/env python | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from numexpr import evaluate | |
| from math import pi | |
| def testset(): | |
| count = 450 | |
| rcoords = np.random.rand(count, 3) | |
| rcoords[:,2] = rcoords[:,2] * 0.005 + 0.005 | |
| return rcoords | |
| def main(): | |
| xd, yd = 1024, 1024 | |
| img = np.zeros((yd,xd)) | |
| samx, samy = np.meshgrid(np.linspace(0,1,xd), np.linspace(0,1,yd)) | |
| for px, py, sz in testset(): | |
| img = evaluate("img + (sz * 0.01) * (1.0 / ((samx - px) ** 2 + (samy - py) ** 2))") | |
| np.clip(img, 0, 1, img) | |
| mcmap = plt.get_cmap('hot') | |
| mcmap._init() | |
| mcmap._lut[:-3,-1] = np.clip(np.linspace(0,2,mcmap.N), 0, 1) | |
| plt.imsave('bleh.png', img, cmap = mcmap) | |
| if __name__ == "__main__": | |
| main() |
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