livibetter

#!/usr/bin/env python

 

from matplotlib import pyplot

from matplotlib.ticker import IndexLocator

from numpy import *

 

results = [

    ('2.6.31-gentoo-r4', [36.232, 23.511, 21.74, 21.7, 21.954]),

    ('2.6.31-gentoo-r4-bfs', [35.235, 20.168, 20.885, 21.308, 21.433]),

    ('2.6.32-rc5', [35.746, 20.327, 20.902, 21.397, 21.741]),

    ]

 

left, width = 0.1, 0.8

rect1 = [left, 0.3, width, 0.6]

rect2 = [left, 0.1, width, 0.2]

 

fig = pyplot.figure()

ax1 = fig.add_axes(rect1)

ax2 = fig.add_axes(rect2, sharex=ax1)

 

ax1.hold(True)

x = range(1, len(results[0][1]) + 1)

for result in results:

  ax1.plot(x, result[1], label=result[0])

ax1.legend(loc=0)

ax1.set_xlim([0, 6])

ax1.xaxis.set_major_locator(IndexLocator(1, 0))

ax1.grid(which='major')

ax1.set_xlabel('', visible=False)

ax1.set_ylabel('Compilation time (second)')

 

for lbl in ax1.get_xticklabels():

  lbl.set_visible(False)

ax1.get_yticklabels()[0].set_visible(False)

 

base = array(results[0][1])

comp = array(results[1][1])

perf = -1 * (comp - base) / base * 100

ymin = []

ymax = []

for r in perf:

  if r < 0:

    ymin.append(r)

    ymax.append(0)

  else:

    ymin.append(0)

    ymax.append(r)

 

ax2.vlines(x, ymin, ymax, linewidth='10', color='blue')

ax2.xaxis.set_major_locator(IndexLocator(1, 0))

ax2.set_xlim([0, 6])

ax2.grid(which='major')

ax2.set_ylabel('Improvement (%)')

ax2.set_xlabel('Jobs')

 

ax2.get_yticklabels()[-1].set_visible(False)

 

for i in range(len(results[0][1])):

  print '%3d %9f %9f %9f %6.2f%%' % (i + 1, results[0][1][i], results[1][1][i], results[2][1][i], perf[i])

 

pyplot.show()