-
Notifications
You must be signed in to change notification settings - Fork 32
/
Copy pathanalyze.py
executable file
·46 lines (36 loc) · 1.38 KB
/
analyze.py
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
#!/usr/bin/env python3
# Copyright 2015 Open Source Robotics Foundation, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
import numpy
parser = argparse.ArgumentParser(description='Plot rttest output')
parser.add_argument('filename', metavar='filename')
args = parser.parse_args()
filename = args.filename
outfile = filename + '_plot'
rawlines = []
with open(filename) as f:
rawlines = f.readlines()
rawlines = [line.rstrip().split(' ') for line in rawlines]
array = numpy.array(rawlines)
latency = numpy.absolute(array[1:, 2].astype(int))
min_latency = numpy.min(latency)
max_latency = numpy.max(latency)
mean_latency = numpy.mean(latency)
print('Min latency:', min_latency)
print('Max latency:', max_latency)
print('Mean latency:', mean_latency)
# How many samples were above 0.03 ms (30000 ns)?
indices = numpy.where(latency > 30000)
print('# of samples overrun:', len(indices))