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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 /experiments/old_stuff/plot.py | |
| parent | 960676226862d2d68c7a9c04c56d4f8157803025 (diff) | |
| download | criminal_cascades-ab0b1f3cefedb35327a19ec1b6afd560bfdf802d.tar.gz | |
Import supplements and repo reorganization
Diffstat (limited to 'experiments/old_stuff/plot.py')
| -rw-r--r-- | experiments/old_stuff/plot.py | 21 |
1 files changed, 0 insertions, 21 deletions
diff --git a/experiments/old_stuff/plot.py b/experiments/old_stuff/plot.py deleted file mode 100644 index cbea485..0000000 --- a/experiments/old_stuff/plot.py +++ /dev/null @@ -1,21 +0,0 @@ -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() |