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#!/usr/bin/env python
"""Plot a result from benchmark.py
Copyright (C) 2011-2020 - Daniele Varrazzo
"""
import sys
from collections import defaultdict
import matplotlib.pyplot as plt
tests = defaultdict(list)
nsamples = cls_name = None
# Read from a file or stdin if no file provided
f = len(sys.argv) > 1 and open(sys.argv[1]) or sys.stdin
labels = {}
for line in f:
if line.isspace():
continue
if ':' in line:
tokens = line.split(':', 1)
labels[tokens[0].strip()] = tokens[1].strip()
continue
tokens = line.split()
# Parse the class of the test
if cls_name is None: cls_name = tokens[0]
assert cls_name == tokens[0], (cls_name, tokens)
# Parse the number of samples
if nsamples is None: nsamples = tokens[2]
assert nsamples == tokens[2], (nsamples, tokens)
tests[tokens[1]].append(
(int(tokens[3]), float(tokens[4])))
fig = plt.figure()
ax = fig.add_subplot(111)
for label, data in sorted(tests.items()):
data = list(zip(*data)) # transpose
p = ax.plot(data[0], data[1], 'o-', label=label)
title = labels.get('title', '')
if int(nsamples): title += " (n=%s)" % nsamples
ax.set_title(title)
if 'xlabel' in labels: ax.set_xlabel(labels['xlabel'])
if 'ylabel' in labels: ax.set_ylabel(labels['ylabel'])
ax.legend(loc=2)
if '-o' in sys.argv:
plt.savefig(sys.argv[sys.argv.index('-o') + 1], dpi=72)
else:
plt.show()
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