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| author | Ben Green <ben@SEASITs-MacBook-Pro.local> | 2015-06-19 01:30:40 -0400 |
|---|---|---|
| committer | Ben Green <ben@SEASITs-MacBook-Pro.local> | 2015-06-19 01:30:40 -0400 |
| commit | 958c31ca10c4eed08da818b9e16d84ebfeb44c27 (patch) | |
| tree | 7a77a047d20be4ebb818ec1194cfd0a355f0706b /experiments/plot3d.py | |
| parent | 5aef644d674b73d6ba34c55b6147954b1a2a2535 (diff) | |
| download | criminal_cascades-958c31ca10c4eed08da818b9e16d84ebfeb44c27.tar.gz | |
Continuing to experiment. Identifying infections vs seeds might be
impossible :/. We may want to try a model where we just assume
infections — can get parameters for the benchmark test.
Diffstat (limited to 'experiments/plot3d.py')
| -rw-r--r-- | experiments/plot3d.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/experiments/plot3d.py b/experiments/plot3d.py index b99ef61..b1b337f 100644 --- a/experiments/plot3d.py +++ b/experiments/plot3d.py @@ -7,10 +7,10 @@ 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] + # am[0] = 1./am[0] print am alpha, delta, beta, r , l = zip(*values) - alpha = 1./np.array(alpha) + # alpha = 1./np.array(alpha) fig = plt.figure(figsize=(12, 8)) ax = fig.gca(projection='3d') |