1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
|
import csv
from matplotlib import pyplot as plt
FILE = "bench.csv"
# config the plot
plt.xlabel('number of inserts')
plt.ylabel('time (seconds)')
plt.title('SQLCipher parallelization')
kwargs = {
'linewidth': 1.0,
'linestyle': '-',
}
series = (('sync', 'r'),
('async', 'g'))
data = {'mark': [],
'sync': [],
'async': []}
with open(FILE, 'rb') as csvfile:
series_reader = csv.reader(csvfile, delimiter=',')
for m, s, a in series_reader:
data['mark'].append(int(m))
data['sync'].append(float(s))
data['async'].append(float(a))
xmax = max(data['mark'])
xmin = min(data['mark'])
ymax = max(data['sync'] + data['async'])
ymin = min(data['sync'] + data['async'])
for run in series:
name = run[0]
color = run[1]
plt.plot(data['mark'], data[name], label=name, color=color, **kwargs)
plt.axes().annotate("", xy=(xmax, ymax))
plt.axes().annotate("", xy=(xmin, ymin))
plt.grid()
plt.legend()
plt.show()
|
