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authorThibaut Horel <thibaut.horel@gmail.com>2015-03-30 15:01:56 -0400
committerThibaut Horel <thibaut.horel@gmail.com>2015-03-30 15:01:56 -0400
commitb84dddecf2eab982941704a43663cf643be027d3 (patch)
tree273afacb4e2d2e043a6bbf75f774d8752e9fc202 /experiments/plot.py
parent68187fcfb505e87e5853c5a1b2e1dc073278a2ba (diff)
downloadcriminal_cascades-b84dddecf2eab982941704a43663cf643be027d3.tar.gz
Archive old code
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diff --git a/experiments/plot.py b/experiments/plot.py
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-from mpl_toolkits.mplot3d import Axes3D
-from matplotlib import cm
-import matplotlib.pyplot as plt
-import numpy as np
-
-with open("results3.txt") as fh:
- values = [map(float, line.strip().split()) for line in fh]
- #values = [(b, a, l) for (b, a, l) in values if b >= 0.04]
- am = max(values, key=lambda x: x[2])
- print am
- beta, alpha, l = zip(*values)
-
- fig = plt.figure(figsize=(12, 8))
- ax = fig.gca(projection='3d')
-
- ax.plot_trisurf(beta, alpha, l, cmap=cm.jet, linewidth=0.001)
- plt.xlabel("Beta")
- plt.ylabel("Alpha")
- ax.set_zlabel('Likelihood')
- #plt.savefig("ll.pdf")
- plt.show()