testing/data_performance/plot.py

   1 #!/usr/bin/python
   2
   3 import sys
   4 import os
   5 import Gnuplot
   6 import subprocess
   7 import numpy
   8
   9 methods = ["sqlite", "csv", "binfile"]
  10 data = {}
  11 averages = 100
  12 g = Gnuplot.Gnuplot()
  13
  14
  15 for program in methods:
  16         data.update({program : []})
  17
  18         numpoints = 1
  19         while (numpoints < 10000):
  20                 bufsiz = 1
  21                 while (bufsiz < 2):
  22
  23                         run = ["./"+program, str(bufsiz), str(numpoints)]
  24                         times = []
  25                         for i in xrange(averages):
  26                                 p = subprocess.Popen(run, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
  27                                 times.append(float(p.stdout.readline().strip(" \r\n")))
  28
  29                         times = numpy.array(times)
  30                         data[program].append([numpoints,bufsiz,numpy.mean(times), numpy.std(times)])
  31
  32                         bufsiz *= 10
  33                 numpoints += 100
  34
  35         g("set xlabel \"Data Points\"")
  36         g("set ylabel \"Total Time (s)\"")
  37         g("set title \"Time to Store Data Points\"")
  38         g.replot(Gnuplot.Data(data[program], title=program, with_="lp",using="1:3"))
  39
  40 print "Done!"
  41 sys.stdin.readline()
  42
  43
  44