Add some statistics to the monsoon profile run

tools/telemetry/telemetry/core/platform/profiler/monsoon_profiler.py

Index: tools/telemetry/telemetry/core/platform/profiler/monsoon_profiler.py
diff --git a/tools/telemetry/telemetry/core/platform/profiler/monsoon_profiler.py b/tools/telemetry/telemetry/core/platform/profiler/monsoon_profiler.py
index 54bb3dc83286d5b1ee602b16a6c17bd3584006fd..1b74f912d04acfa98d694537e7229b584891469e 100644
--- a/tools/telemetry/telemetry/core/platform/profiler/monsoon_profiler.py
+++ b/tools/telemetry/telemetry/core/platform/profiler/monsoon_profiler.py
@@ -11,10 +11,10 @@ Output graph plots power in watts over time in seconds.
 
 import csv
 import multiprocessing
-
 from telemetry.core import exceptions
 from telemetry.core.platform import profiler
 from telemetry.core.platform.profiler import monsoon
+from telemetry.util import statistics
 
 
 def _CollectData(output_path, is_collecting):
@@ -49,6 +49,16 @@ def _CollectData(output_path, is_collecting):
     output_writer.writerows(plot_data)
     output_file.flush()
 
+  power = []
+  for sample in samples:
+    power.append(sample.amps * sample.volts)

[tonyg, 2014/03/12 15:28:38]

Neat pythonism:

power_samples = [s.amps * s.volts for s in samples]

+
+  print ('Power total=%f' % statistics.TrapezoidalRule(power, 1/5000.) +

[tonyg, 2014/03/12 15:28:38]

I'm wondering whether the labels would be better as:

Energy consumption=...
Average power=...
Peak power=...
Profile duration=...

Also, recommend line breaks between each.

+      ' average=%f' % statistics.ArithmeticMean(power) +
+      '+-%f' % statistics.StandardDeviation(power) +
+      ' peak=%f' % max(power) +
+      ' time=%f' % (len(power) / 5000.))
+
   print 'To view the Monsoon profile, run:'
   print ('  echo "set datafile separator \',\'; plot \'%s\' with lines" | '
       'gnuplot --persist' % output_path)