summaryrefslogtreecommitdiffstats
path: root/experiments/plot3d.py
diff options
context:
space:
mode:
authorThibaut Horel <thibaut.horel@gmail.com>2015-09-14 23:08:02 -0400
committerThibaut Horel <thibaut.horel@gmail.com>2015-09-14 23:08:02 -0400
commitab0b1f3cefedb35327a19ec1b6afd560bfdf802d (patch)
treeb777f3e2c0ac0e712d8c5faab5107b1d236e2c3a /experiments/plot3d.py
parent960676226862d2d68c7a9c04c56d4f8157803025 (diff)
downloadcriminal_cascades-ab0b1f3cefedb35327a19ec1b6afd560bfdf802d.tar.gz
Import supplements and repo reorganization
Diffstat (limited to 'experiments/plot3d.py')
-rw-r--r--experiments/plot3d.py23
1 files changed, 0 insertions, 23 deletions
diff --git a/experiments/plot3d.py b/experiments/plot3d.py
deleted file mode 100644
index b1b337f..0000000
--- a/experiments/plot3d.py
+++ /dev/null
@@ -1,23 +0,0 @@
-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()