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authorThibaut Horel <thibaut.horel@gmail.com>2015-06-07 22:23:39 -0700
committerThibaut Horel <thibaut.horel@gmail.com>2015-06-07 22:23:39 -0700
commite5dada202c34521618bf82a086093c342841e5e8 (patch)
treedd7c640ed2bd77ce5e6b0ae050e6662c21cc3b43 /experiments/plot3d.py
parenta29d738721db46b0ca3b7b5b3ffd282ad3f25909 (diff)
downloadcriminal_cascades-e5dada202c34521618bf82a086093c342841e5e8.tar.gz
Project cleanup before handing it to Ben
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diff --git a/experiments/plot3d.py b/experiments/plot3d.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("out.log") 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[4])
+ am[0] = 1./am[0]
+ print am
+ alpha, delta, beta, _ , l = zip(*values)
+ alpha = 1./np.array(alpha)
+
+ fig = plt.figure(figsize=(12, 8))
+ ax = fig.gca(projection='3d')
+
+ ax.plot_trisurf(alpha, delta, l, cmap=cm.jet, linewidth=0.001)
+ plt.xlabel("alpha")
+ plt.ylabel("delta")
+ ax.set_zlabel('Likelihood')
+ #plt.savefig("ll.pdf")
+ plt.show()