blob: 1ca5e5a7fe790e43de452c1d6a17af5e013595e0 [file] [log] [blame]
#!/usr/bin/env python
#
# Copyright (c) 2018 Stefan Seefeld
# All rights reserved.
#
# This file is part of Boost.uBLAS. It is made available under the
# Boost Software License, Version 1.0.
# (Consult LICENSE or http://www.boost.org/LICENSE_1_0.txt)
import argparse
import matplotlib.pyplot as plt
import numpy as np
class plot(object):
def __init__(self, label, data):
self.label = label
self.data = data
def load_file(filename):
lines = open(filename, 'r').readlines()
label = lines[0][1:-1].strip()
lines = [l.strip() for l in lines]
lines = [l.split('#', 1)[0] for l in lines]
lines = [l for l in lines if l]
data = [l.split() for l in lines]
return plot(label, list(zip(*data)))
def main(argv):
parser = argparse.ArgumentParser(prog=argv[0], description='benchmark plotter')
parser.add_argument('data', nargs='+', help='benchmark data to plot')
parser.add_argument('--log', choices=['no', 'all', 'x', 'y'], help='use a logarithmic scale')
args = parser.parse_args(argv[1:])
runs = [load_file(d) for d in args.data]
plt.title('Benchmark plot')
plt.xlabel('size')
plt.ylabel('time (s)')
if args.log == 'all':
plot = plt.loglog
elif args.log == 'x':
plot = plt.semilogx
elif args.log == 'y':
plot = plt.semilogy
else:
plot = plt.plot
plots = [plot(r.data[0], r.data[1], label=r.label) for r in runs]
plt.legend()
plt.show()
return True
if __name__ == '__main__':
import sys
sys.exit(0 if main(sys.argv) else 1)