blob: df836a02ce8fcea7c70334c0a0a686e9cbd8e428 [file] [log] [blame]
# Copyright Martin J. Bligh (mbligh@google.com), 2007
"""
Class to draw gnuplot graphs for autotest performance analysis.
Not that generic - specifically designed to to draw graphs of one type,
but probably adaptable.
"""
import subprocess, sys, os
from math import sqrt
Popen = subprocess.Popen
def avg_dev(values):
if len(values) == 0:
return (0,0)
average = sum(values) / len(values)
sum_sq_dev = sum( [(x - average) ** 2 for x in values] )
std_dev = sqrt(sum_sq_dev / float(len(values)));
return (average, std_dev);
class gnuplot:
def __init__(self, title, xlabel, ylabel, xsort = sorted):
self.title = title
self.xlabel = xlabel
self.ylabel = ylabel
self.data_titles = []
self.datasets = []
self.xsort = xsort
self.xvalues = set([])
def xtics(self):
count = 1
tics = []
for label in self.xsort(self.xlabels):
tics.append('"%s" %d' % (label, count))
count += 1
return tics
def add_dataset(self, title, labeled_values):
"""
Add a data line
title: title of the dataset
labeled_values: dictionary of lists
{ label : [value1, value2, ... ] , ... }
"""
self.data_titles.append(title)
data_points = {}
for label in labeled_values:
point = "%s %s" % avg_dev(labeled_values[label])
data_points[label] = point
self.xvalues.add(label)
self.datasets.append(data_points)
def plot(self, cgi_header = False, output = None, test = None):
if cgi_header:
print "Content-type: image/png\n"
sys.stdout.flush()
if test:
g = open(test, 'w')
else:
p = Popen("/usr/bin/gnuplot", stdin = subprocess.PIPE)
g = p.stdin
g.write('set terminal png size 1180,900\n')
g.write('set key below\n')
g.write('set title "%s"\n' % self.title)
g.write('set xlabel "%s"\n' % self.xlabel)
g.write('set ylabel "%s"\n' % self.ylabel)
if output:
g.write('set output "%s"\n' % output)
g.write('set style data yerrorlines\n')
g.write('set grid\n')
self.xlabels = self.xsort(list(self.xvalues))
g.write('set xtics rotate (%s)\n' % ','.join(self.xtics()))
plot_lines = ['"-" title "%s"' % t for t in self.data_titles]
g.write('plot ' + ', '.join(plot_lines) + '\n')
for dataset in self.datasets:
count = 1
for label in self.xlabels:
data = dataset[label]
g.write("%d %s\n" % (count, str(data)))
count += 1
sys.stdout.flush()
g.write('e\n')
g.close()
if not test:
sts = os.waitpid(p.pid, 0)