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- i* files are initial state, plotted by iplot.py - a* are time average of lgca, plotted by av.py - f* are final states, plotted by sav.py with different strides - .png are plots generated during experimenting with kernel
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import matplotlib.pyplot as plt | ||
import numpy as np | ||
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meta = np.genfromtxt('meta.txt', delimiter=',') | ||
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sx = meta[0]; sy = meta[1] | ||
x,y = np.meshgrid(np.arange(0, sx/8, 1), np.arange(0, sy/8, 1)) | ||
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xn = x * 1 + y * (-0.5) | ||
yn = x * 0 + y * (-0.8660254037844386) | ||
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px = np.genfromtxt('avx.csv', delimiter=',') | ||
py = np.genfromtxt('avy.csv', delimiter=',') | ||
ocpy = np.genfromtxt('aocpy.csv', delimiter=',') | ||
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print("Average occupancy: ", np.sum(ocpy)/(sx*sy)) | ||
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npx = np.multiply(px, ocpy) | ||
npy = np.multiply(py, ocpy) | ||
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fig, axs = plt.subplots(1, 1) | ||
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axs.quiver(xn, yn, npx, npy) | ||
axs.axis('equal') | ||
# axs.set_xlim(100,200) | ||
plt.show() | ||
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# length = int(sx*sy/64) | ||
# x = np.reshape(xn, (length, 1)) | ||
# y = np.reshape(yn, (length, 1)) | ||
# px = np.reshape(npx, (length, 1)) | ||
# py = np.reshape(npy, (length, 1)) | ||
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# val = np.concatenate((x,y,px,py),axis=1) | ||
# np.savetxt("gnuplot.csv", val, | ||
# delimiter = ",") |
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