Tune size + output

scripts/plot-single-job.py

@@ -28,6 +28,10 @@ def plot(prefix, header, row):
     timeseries = [ [k, x, s] for (s,x) in zip(timeseries, range(1, len(timeseries))) ]
     result.extend(timeseries)
 
+  if len(result) == 0:
+    print("Empty job! Cannot plot!")
+    return
+
   data = DataFrame(result, columns=["metrics", "segment", "value"])
   groups = data.groupby(["metrics"])
   metrics = DataFrame()
@@ -36,14 +40,16 @@ def plot(prefix, header, row):
     metrics[name] = [x[2] for x in group.values]
     labels.append(name)
 
-  ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True,  sharey=True, colormap='jet', marker='.', markersize=10)
+  ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True,  sharey=True, colormap='jet', marker='.', markersize=10, figsize=(8, 2 + 2 * len(labels)))
   for (i, l) in zip(range(0, len(labels)), labels):
     ax[i].set_ylabel(l)
 
   pyplot.xlabel("Segment number")
   pyplot.savefig(prefix + "timeseries" + jobid + ".png")
 
-  # Plot first 30 minutes
+  # Plot first 30 segments
+  if len(timeseries) <= 50:
+    return
 
   ax = metrics.plot(subplots=True, legend=False, sharex=True, grid = True,  sharey=True, colormap='jet', marker='.', markersize=10, xlim=(0,30))
   for (i, l) in zip(range(0, len(labels)), labels):

scripts/plot.R

@@ -54,7 +54,7 @@ plotJobs = function(jobs){
     # print the job timeline
     r = e[ordered, ]
     for (row in 1:length(jobs)) {
-      prefix = sprintf("%s-%f-%.0f", level, r[row, "similarity"], row)
+      prefix = sprintf("%s-%f-%.0f-", level, r[row, "similarity"], row)
       job = r[row, "jobid"]
       system(sprintf("scripts/plot-single-job.py %s %s", job, prefix))
     }