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
46
47
48
49
50
51
52
53
54
55
56
57
58
59
|
#!/usr/bin/env python
import h5py
import numpy as np
import matplotlib.pyplot as plt
from itertools import cycle, islice
def roundrobin(*iterables):
pending = len(iterables)
nexts = cycle(iter(it).next for it in iterables)
while pending:
try:
for next in nexts:
yield next()
except StopIteration:
pending -= 1
nexts = cycle(islice(nexts, pending))
def draw(filename, nevents):
f = h5py.File(filename, 'r')
fig = plt.figure()
for i, dataset in enumerate((f[name] for name in f)):
plt.subplot(len(f), 1, i+1)
nevents = min(options.nevents, len(dataset))
nsamples = dataset.attrs['wave_array_count']//dataset.attrs['nom_subarray_count']
dx = dataset.attrs['horiz_interval']
dy = dataset.attrs['vertical_gain']
xoffset = dataset.attrs['horiz_offset']
yoffset = dataset.attrs['vertical_offset']
x = np.tile(np.linspace(xoffset, xoffset+dx*nsamples, nsamples)*1e9, (nevents,1))
y = dataset[:nevents]*dy - yoffset
plt.plot(*roundrobin(x, y), color='black')
plt.xlabel('Time (ns)')
plt.ylabel('Voltage (V)')
plt.title(dataset.name)
f.close()
return fig
if __name__ == '__main__':
import sys
import optparse
parser = optparse.OptionParser('%prog file [...]')
parser.add_option('-n', type='int', dest='nevents', default=100)
options, args = parser.parse_args()
if len(args) < 1:
sys.exit(parser.format_help())
figures = []
for filename in args:
figures.append(draw(filename, options.nevents))
plt.show()
|
