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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2015-09-14 23:08:02 -0400 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2015-09-14 23:08:02 -0400 |
| commit | ab0b1f3cefedb35327a19ec1b6afd560bfdf802d (patch) | |
| tree | b777f3e2c0ac0e712d8c5faab5107b1d236e2c3a /ic_experiments/plot3d.py | |
| parent | 960676226862d2d68c7a9c04c56d4f8157803025 (diff) | |
| download | criminal_cascades-ab0b1f3cefedb35327a19ec1b6afd560bfdf802d.tar.gz | |
Import supplements and repo reorganization
Diffstat (limited to 'ic_experiments/plot3d.py')
| -rw-r--r-- | ic_experiments/plot3d.py | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/ic_experiments/plot3d.py b/ic_experiments/plot3d.py new file mode 100644 index 0000000..b1b337f --- /dev/null +++ b/ic_experiments/plot3d.py @@ -0,0 +1,23 @@ +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, r , 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() |
