This repo wasn't maintained since the last 5 years, trying to add some little things that I need.
Iperf3 plotter is a graphing tool to generate statistical chart for iperf3 experimental result. Iperf3 output json file as result, which is not easy to view straightforwardly. This plotter will transform json data into line chart, box chart and csv file with better explanation power.
Ipef3 plotter runs on Python, version 2.7+ and 3.3+. Plotting requires matplotlib, pandas, numpy and seaborn to be pre-installed. Replace pip wit pip3 if python3 is used.
pip install -r requirements.txt
Suppose we have prepared a folder, iperfPlot. Inside iperfPlot, we prepared two folders graph and testTarball. The testTarball contains iperf3 ouput json files named as tg_server_id.
iperf3 -c 10.99.99.1 -Z -i 1 -A 1 -t 600 -J > tg_server_00018
One json file corresponding to 1 iperf connection. The iperf3_plot.py will transform testTarball data into statistical charts, located in graph.
cheryltekiMacBook-Pro-2:iperfPlot cheryl$ tree
.
|____graph
|____iperf3_plot.py
|____testTarball
| |____tg_server_00000
| |____tg_server_00001
| |____tg_server_00002
.....
| |____tg_server_00018
| |____tg_server_00019
| |____tg_server_00020
Run the following command.
python3 iperf3_plot.py -f ./testTarball -o graph/all.png
In default, iperf3 plotter will generate chart, box, statistical summary and a transformed csv.
cheryltekiMacBook-Pro-2:iperfPlot cheryl$ python3 iperf3_plot.py -f ./testTarball -o graph/all.png
['tg_server_00000', 'tg_server_00001', 'tg_server_00002', 'tg_server_00003', 'tg_server_00004', 'tg_server_00005', 'tg_server_00006', 'tg_server_00007', 'tg_server_00008', 'tg_server_00009', 'tg_server_00010', 'tg_server_00011', 'tg_server_00012', 'tg_server_00013', 'tg_server_00014', 'tg_server_00015', 'tg_server_00016', 'tg_server_00017', 'tg_server_00018', 'tg_server_00019', 'tg_server_00020']
cheryltekiMacBook-Pro-2:iperfPlot cheryl$ cd graph
cheryltekiMacBook-Pro-2:graph cheryl$ tree
.
|____all.png
|____all.png.csv
|____all.png_stats.csv
|____all_box.png
|____all_line_0.png
|____all_line_10.png
|____all_line_15.png
|____all_line_20.png
|____all_line_5.png
cheryltekiMacBook-Pro-2:iperfPlot cheryl$ python3 iperf3_plot.py -h
Usage: iperf3_plot.py [ -f FOLDER | -o OUT | -p PLOTFILES | -n NOPLOTFILES | -v ]
Options:
-h, --help show this help message and exit
-f FILE, --folder=FILE
Input folder absolute path. [Input Format: /Users/iperfExp]
-o OUT, --output=OUT Plot file name. [Input Format: iperf.png]
-p PLOT_FILES, --plotfiles=PLOT_FILES
Choose files to be plotted. If no specified, all files in folder. [Input Format: f1,f2,f3]
-n NO_PLOT_FILES, --noPlotFiles=NO_PLOT_FILES
Choose files not to be plotted. [Input Format: f1,f2,f3]
-u UPPER_LIMIT, --upperLimit=UPPER_LIMIT
The expected upper boundary. [Input Format: 0.5]
-l LOWER_LIMIT, --lowerLimit=LOWER_LIMIT
The expected lower boundary. [Input Format: 0.5]
-b BOUND, --bound=BOUND
Provide multiple bound in pairs. [Input Format: [upperbound, lowerbound, tag]
-v, --verbose Verbose debug output to stderr.
The parameters -f and -o are necessary, representing input source data folder and output folder respectively.
python3 iperf3_plot.py -f ./testTarball -o graph/all.png
Iperf3 plotter provides other flexible parameters for customizing different user scenarios. We list a few example here.
-
plot all lines in testTarball with boundary.
python3 iperf3_plot.py -f testTarball -o graph/all.png \ -b [0.42,0.42,0.42M],[0.46,0.46,0.46M] \ -u 0.5 -l 0.45
The boundary [0.42,0.42,0.42M],[0.46,0.46,0.46M] will applied on all.png. Boundary is denoted ad [upper bound,lower bound, boundary line label].
The boundary 0.45 and 0.5 will applied on all_line_0.png ~ all_line_20.png.
The -b is only applied to ouput_filename.png while -u and -l are only applied to output_filename_id.png.
-
plot only tg_server_00004,tg_server_00009 in testTarball.
python3 iperf3_plot.py -f testTarball \ -o graph/s49.png \ -p tg_server_00004,tg_server_00009
-
plot all in testTarball except tg_server_00004,tg_client_00009
python3 iperf3_plot.py -f testTarball \ -o graph/s1419.png \ -n tg_server_00004,tg_server_00009
-
plot tg_server_00004,tg_server_00009 in testTarball, plot boundary on individual line.
python3 iperf3_plot.py -f testTarball \ -o graph/s49_bound.png \ -p tg_server_00004,tg_server_00009 \ -u 0.5 \ -l 0.45
A sample input format can be referred at here.
{
"start": {
"timestamp": {
"timesecs": 1489032094,
"time": "Thu, 09 Mar 2017 04:01:34 GMT"
},
"system_info": "Linux localhost.localdomain 3.10.0-327.el7.x86_64 #1 SMP Thu Nov 19 22:10:57 UTC 2015 x86_64",
"connected": [
{
"remote_port": 50243,
"local_port": 50001,
"local_host": "172.31.4.1",
"socket": 5,
"remote_host": "172.31.4.100"
}
],
"version": "iperf 3.1.3",
"cookie": "localhost.localdomain.1489032286.124",
"accepted_connection": {
"host": "172.31.4.100",
"port": 50202
},
"test_start": {
"blksize": 131072,
"blocks": 0,
"bytes": 0,
"protocol": "TCP",
"duration": 60,
"reverse": 0,
"num_streams": 1,
"omit": 0
},
"tcp_mss_default": 1320
},
...
"intervals": [
{
"streams": [
{
"start": 0,
"end": 1.000063,
"socket": 5,
"seconds": 1.000063,
"omitted": false,
"bytes": 50160,
"bits_per_second": 401254.648361
}
],
"sum": {
"start": 0,
"end": 1.000063,
"seconds": 1.000063,
"omitted": false,
"bytes": 50160,
"bits_per_second": 401254.648361
}
},
....
|
Currently, iperf3 plotter only plot iperf through put in Mbps. The following code describes how iperf3 plotter calculates throughput with given input json format.
def generate_BW(self, iperf):
"""Do the actual formatting."""
idx=[]
value=[]
duration = iperf.get('start').get('test_start').get('duration')
for i in iperf.get('intervals'):
for ii in i.get('streams'):
if (round(float(ii.get('start')), 0)) <= duration:
idx.append(round(float(ii.get('start')), 0))
value.append(round(float(ii.get('bits_per_second')) / (1024*1024), 3))
return pd.Series(value, index=idx)
We generate 3 types of graph: box chart, line chart and individual line chart. In addition, we also transform the json data into csv.
###6.1 Line chart Line chart has two types: the global view and individual view. Global view with boundaries helps user to decide whether each iperf connection throughput is inside the boundary range. The global view boundary is set by "-b".
The individual view provides better way to check, filter and inspect whether an individual connection is located inside the boundary. The individual view boundary is set by "-u" and "-l".
###6.2 box chart Box chart and *.png_stats.csv provide a simplified view to check the variance of each connection. The shorter the bar, the less number of outliers, the result is better. In terms of iperf scenario, better result means the data transmission is more stable.
tg_server_00000 | tg_server_00001 | tg_server_00002 | tg_server_00003 | tg_server_00004 | tg_server_00005 | tg_server_00006 | tg_server_00007 | tg_server_00008 | tg_server_00009 | tg_server_00010 | tg_server_00011 | tg_server_00012 | tg_server_00013 | tg_server_00014 | tg_server_00015 | tg_server_00016 | tg_server_00017 | tg_server_00018 | tg_server_00019 | tg_server_00020 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
count | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 | 61.0 |
mean | 0.45381967213114754 | 0.45183606557377043 | 0.45414754098360655 | 0.4525081967213115 | 0.45414754098360655 | 0.4538196721311475 | 0.4518360655737705 | 0.45365573770491807 | 0.452655737704918 | 0.453983606557377 | 0.45381967213114754 | 0.4544754098360656 | 0.4534918032786885 | 0.45299999999999996 | 0.45365573770491807 | 0.4534918032786885 | 0.45281967213114754 | 0.453655737704918 | 0.4528360655737705 | 0.453983606557377 | 0.4538196721311476 |
std | 0.009182425599519466 | 0.022105188175229253 | 0.012396015577022818 | 0.015537720715321229 | 0.013428621256572064 | 0.011298242041310838 | 0.019086802008952724 | 0.010467227021998454 | 0.01760386817899373 | 0.010909463480970221 | 0.011732445321587638 | 0.010301466816877826 | 0.013469252578644534 | 0.013038404810405293 | 0.010780978999920247 | 0.011463889611616226 | 0.017653619266995758 | 0.014476285487999141 | 0.014547829537848424 | 0.011061181075091225 | 0.013453014775780819 |
min | 0.433 | 0.302 | 0.433 | 0.383 | 0.423 | 0.423 | 0.332 | 0.433 | 0.352 | 0.433 | 0.433 | 0.433 | 0.403 | 0.403 | 0.433 | 0.423 | 0.352 | 0.423 | 0.373 | 0.423 | 0.423 |
25% | 0.453 | 0.443 | 0.443 | 0.443 | 0.453 | 0.443 | 0.443 | 0.443 | 0.453 | 0.443 | 0.443 | 0.453 | 0.443 | 0.443 | 0.443 | 0.443 | 0.443 | 0.443 | 0.453 | 0.453 | 0.443 |
50% | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 |
75% | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 | 0.463 |
max | 0.473 | 0.483 | 0.483 | 0.483 | 0.493 | 0.473 | 0.483 | 0.473 | 0.483 | 0.473 | 0.483 | 0.483 | 0.483 | 0.483 | 0.483 | 0.483 | 0.473 | 0.483 | 0.473 | 0.483 | 0.483 |
###6.3 Json to CSV Iperf3 plotter also transforms json data into csv format for better viewing the numbers.
start | tg_server_00000 | tg_server_00001 | tg_server_00002 | tg_server_00003 | tg_server_00004 | tg_server_00005 | tg_server_00006 | tg_server_00007 | tg_server_00008 | tg_server_00009 | tg_server_00010 | tg_server_00011 | tg_server_00012 | tg_server_00013 | tg_server_00014 | tg_server_00015 | tg_server_00016 | tg_server_00017 | tg_server_00018 | tg_server_00019 | tg_server_00020 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.0 | 0.443 | 0.302 | 0.453 | 0.383 | 0.463 | 0.433 | 0.332 | 0.473 | 0.352 | 0.463 | 0.433 | 0.463 | 0.403 | 0.403 | 0.443 | 0.443 | 0.352 | 0.423 | 0.373 | 0.443 | 0.433 |
1.0 | 0.453 | 0.453 | 0.453 | 0.423 | 0.453 | 0.463 | 0.463 | 0.433 | 0.453 | 0.453 | 0.443 | 0.453 | 0.443 | 0.423 | 0.433 | 0.433 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 |
2.0 | 0.463 | 0.463 | 0.463 | 0.453 | 0.453 | 0.453 | 0.443 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 |
3.0 | 0.453 | 0.453 | 0.443 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.473 | 0.473 | 0.453 | 0.443 | 0.453 | 0.453 | 0.443 | 0.463 | 0.473 | 0.453 | 0.453 | 0.453 | 0.463 |
4.0 | 0.453 | 0.443 | 0.483 | 0.463 | 0.473 | 0.453 | 0.453 | 0.473 | 0.433 | 0.433 | 0.453 | 0.473 | 0.463 | 0.453 | 0.463 | 0.453 | 0.433 | 0.453 | 0.453 | 0.453 | 0.443 |
5.0 | 0.463 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 | 0.443 | 0.433 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.473 | 0.453 | 0.463 | 0.453 | 0.463 | 0.453 | 0.463 |
6.0 | 0.443 | 0.453 | 0.453 | 0.483 | 0.453 | 0.443 | 0.473 | 0.443 | 0.453 | 0.463 | 0.453 | 0.443 | 0.453 | 0.473 | 0.433 | 0.453 | 0.443 | 0.453 | 0.453 | 0.483 | 0.453 |
7.0 | 0.453 | 0.473 | 0.433 | 0.433 | 0.443 | 0.453 | 0.463 | 0.453 | 0.483 | 0.463 | 0.463 | 0.453 | 0.443 | 0.443 | 0.463 | 0.463 | 0.473 | 0.453 | 0.463 | 0.423 | 0.483 |
8.0 | 0.453 | 0.433 | 0.473 | 0.473 | 0.453 | 0.453 | 0.433 | 0.453 | 0.423 | 0.443 | 0.453 | 0.463 | 0.463 | 0.443 | 0.463 | 0.463 | 0.443 | 0.453 | 0.443 | 0.473 | 0.433 |
9.0 | 0.453 | 0.463 | 0.433 | 0.423 | 0.463 | 0.463 | 0.463 | 0.463 | 0.453 | 0.453 | 0.463 | 0.443 | 0.463 | 0.453 | 0.443 | 0.433 | 0.463 | 0.473 | 0.453 | 0.443 | 0.453 |
10.0 | 0.453 | 0.443 | 0.463 | 0.453 | 0.443 | 0.443 | 0.443 | 0.453 | 0.463 | 0.463 | 0.443 | 0.453 | 0.433 | 0.453 | 0.443 | 0.453 | 0.433 | 0.433 | 0.463 | 0.463 | 0.443 |
11.0 | 0.463 | 0.473 | 0.443 | 0.463 | 0.453 | 0.453 | 0.443 | 0.463 | 0.443 | 0.443 | 0.453 | 0.473 | 0.453 | 0.483 | 0.453 | 0.453 | 0.473 | 0.483 | 0.443 | 0.433 | 0.473 |
12.0 | 0.463 | 0.443 | 0.453 | 0.443 | 0.453 | 0.453 | 0.483 | 0.443 | 0.453 | 0.453 | 0.463 | 0.433 | 0.473 | 0.433 | 0.453 | 0.453 | 0.453 | 0.423 | 0.453 | 0.453 | 0.433 |
13.0 | 0.443 | 0.443 | 0.453 | 0.463 | 0.453 | 0.473 | 0.433 | 0.463 | 0.453 | 0.473 | 0.463 | 0.453 | 0.443 | 0.463 | 0.453 | 0.463 | 0.443 | 0.483 | 0.473 | 0.473 | 0.453 |
14.0 | 0.453 | 0.463 | 0.473 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.433 | 0.433 | 0.453 | 0.443 | 0.453 | 0.463 | 0.453 | 0.453 | 0.443 | 0.453 | 0.453 | 0.453 |
15.0 | 0.453 | 0.453 | 0.443 | 0.453 | 0.463 | 0.453 | 0.453 | 0.443 | 0.453 | 0.453 | 0.473 | 0.463 | 0.463 | 0.443 | 0.453 | 0.463 | 0.463 | 0.463 | 0.453 | 0.453 | 0.453 |
16.0 | 0.453 | 0.443 | 0.473 | 0.453 | 0.443 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.433 | 0.453 | 0.463 | 0.473 | 0.463 | 0.443 | 0.443 | 0.443 | 0.463 | 0.453 | 0.473 |
17.0 | 0.453 | 0.463 | 0.443 | 0.453 | 0.463 | 0.463 | 0.453 | 0.443 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.443 | 0.443 | 0.453 | 0.463 | 0.443 | 0.453 | 0.443 | 0.443 |
18.0 | 0.463 | 0.463 | 0.443 | 0.453 | 0.453 | 0.433 | 0.453 | 0.463 | 0.463 | 0.473 | 0.443 | 0.463 | 0.443 | 0.443 | 0.453 | 0.463 | 0.443 | 0.473 | 0.433 | 0.453 | 0.453 |
19.0 | 0.453 | 0.443 | 0.473 | 0.463 | 0.463 | 0.473 | 0.443 | 0.453 | 0.443 | 0.443 | 0.463 | 0.443 | 0.463 | 0.453 | 0.453 | 0.443 | 0.453 | 0.443 | 0.453 | 0.463 | 0.453 |
20.0 | 0.453 | 0.453 | 0.433 | 0.463 | 0.453 | 0.433 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 |
21.0 | 0.463 | 0.453 | 0.453 | 0.443 | 0.463 | 0.473 | 0.463 | 0.463 | 0.453 | 0.443 | 0.453 | 0.453 | 0.443 | 0.473 | 0.453 | 0.443 | 0.463 | 0.443 | 0.463 | 0.453 | 0.453 |
22.0 | 0.433 | 0.483 | 0.463 | 0.463 | 0.433 | 0.443 | 0.453 | 0.443 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.463 | 0.463 | 0.463 | 0.443 | 0.443 | 0.453 | 0.463 |
23.0 | 0.453 | 0.443 | 0.463 | 0.443 | 0.473 | 0.443 | 0.453 | 0.453 | 0.463 | 0.443 | 0.473 | 0.473 | 0.443 | 0.453 | 0.443 | 0.443 | 0.463 | 0.463 | 0.453 | 0.453 | 0.463 |
24.0 | 0.453 | 0.443 | 0.443 | 0.443 | 0.433 | 0.473 | 0.463 | 0.453 | 0.473 | 0.453 | 0.443 | 0.433 | 0.463 | 0.443 | 0.463 | 0.473 | 0.433 | 0.473 | 0.473 | 0.463 | 0.453 |
25.0 | 0.463 | 0.443 | 0.453 | 0.463 | 0.453 | 0.473 | 0.453 | 0.453 | 0.453 | 0.453 | 0.443 | 0.463 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.443 | 0.433 | 0.443 | 0.433 |
26.0 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.423 | 0.443 | 0.463 | 0.443 | 0.453 | 0.453 | 0.473 | 0.473 | 0.443 | 0.463 | 0.463 | 0.443 | 0.443 | 0.473 | 0.463 | 0.473 |
27.0 | 0.463 | 0.463 | 0.463 | 0.443 | 0.453 | 0.453 | 0.453 | 0.453 | 0.443 | 0.473 | 0.453 | 0.433 | 0.433 | 0.463 | 0.453 | 0.463 | 0.463 | 0.453 | 0.433 | 0.443 | 0.453 |
28.0 | 0.443 | 0.463 | 0.443 | 0.463 | 0.463 | 0.453 | 0.453 | 0.443 | 0.453 | 0.433 | 0.473 | 0.463 | 0.453 | 0.443 | 0.443 | 0.423 | 0.443 | 0.463 | 0.473 | 0.453 | 0.453 |
29.0 | 0.453 | 0.443 | 0.463 | 0.443 | 0.453 | 0.453 | 0.463 | 0.463 | 0.453 | 0.453 | 0.443 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.463 | 0.443 |
30.0 | 0.473 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.443 | 0.453 | 0.453 | 0.463 | 0.443 | 0.453 | 0.463 | 0.443 | 0.463 | 0.463 | 0.453 | 0.443 | 0.443 | 0.463 |
31.0 | 0.463 | 0.463 | 0.433 | 0.453 | 0.453 | 0.443 | 0.453 | 0.463 | 0.463 | 0.463 | 0.443 | 0.443 | 0.453 | 0.443 | 0.453 | 0.443 | 0.453 | 0.433 | 0.453 | 0.463 | 0.443 |
32.0 | 0.433 | 0.443 | 0.453 | 0.463 | 0.463 | 0.463 | 0.443 | 0.473 | 0.453 | 0.463 | 0.473 | 0.453 | 0.483 | 0.463 | 0.453 | 0.463 | 0.453 | 0.463 | 0.453 | 0.463 | 0.463 |
33.0 | 0.443 | 0.453 | 0.453 | 0.443 | 0.443 | 0.443 | 0.483 | 0.433 | 0.453 | 0.443 | 0.453 | 0.453 | 0.423 | 0.463 | 0.453 | 0.443 | 0.473 | 0.453 | 0.453 | 0.443 | 0.443 |
34.0 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.473 | 0.453 | 0.453 | 0.473 | 0.473 | 0.463 | 0.453 | 0.453 | 0.473 | 0.453 | 0.473 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 |
35.0 | 0.463 | 0.453 | 0.483 | 0.463 | 0.453 | 0.443 | 0.433 | 0.453 | 0.463 | 0.443 | 0.433 | 0.463 | 0.463 | 0.433 | 0.483 | 0.453 | 0.423 | 0.463 | 0.453 | 0.453 | 0.453 |
36.0 | 0.473 | 0.463 | 0.433 | 0.443 | 0.453 | 0.453 | 0.463 | 0.473 | 0.443 | 0.443 | 0.443 | 0.453 | 0.463 | 0.443 | 0.453 | 0.453 | 0.463 | 0.443 | 0.453 | 0.463 | 0.453 |
37.0 | 0.443 | 0.443 | 0.463 | 0.453 | 0.453 | 0.463 | 0.443 | 0.433 | 0.453 | 0.453 | 0.463 | 0.453 | 0.443 | 0.453 | 0.433 | 0.443 | 0.453 | 0.453 | 0.453 | 0.443 | 0.483 |
38.0 | 0.443 | 0.473 | 0.443 | 0.453 | 0.453 | 0.443 | 0.463 | 0.453 | 0.433 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.473 | 0.463 | 0.423 |
39.0 | 0.453 | 0.453 | 0.453 | 0.453 | 0.463 | 0.463 | 0.453 | 0.463 | 0.453 | 0.473 | 0.443 | 0.443 | 0.453 | 0.453 | 0.443 | 0.463 | 0.443 | 0.453 | 0.463 | 0.443 | 0.463 |
40.0 | 0.453 | 0.463 | 0.453 | 0.453 | 0.463 | 0.453 | 0.443 | 0.453 | 0.453 | 0.433 | 0.463 | 0.453 | 0.453 | 0.453 | 0.453 | 0.463 | 0.463 | 0.453 | 0.433 | 0.453 | 0.453 |
41.0 | 0.463 | 0.443 | 0.453 | 0.453 | 0.443 | 0.453 | 0.453 | 0.453 | 0.453 | 0.473 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.443 | 0.453 | 0.453 | 0.453 | 0.483 | 0.453 |
42.0 | 0.443 | 0.443 | 0.453 | 0.463 | 0.463 | 0.453 | 0.473 | 0.453 | 0.453 | 0.443 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.453 | 0.433 | 0.453 |
43.0 | 0.453 | 0.463 | 0.453 | 0.443 | 0.473 | 0.443 | 0.443 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 | 0.443 | 0.453 | 0.453 | 0.483 | 0.463 | 0.453 | 0.473 |
44.0 | 0.463 | 0.443 | 0.453 | 0.453 | 0.453 | 0.453 | 0.473 | 0.453 | 0.463 | 0.453 | 0.443 | 0.463 | 0.463 | 0.453 | 0.453 | 0.443 | 0.453 | 0.423 | 0.453 | 0.453 | 0.423 |
45.0 | 0.453 | 0.453 | 0.473 | 0.453 | 0.423 | 0.463 | 0.443 | 0.453 | 0.453 | 0.453 | 0.453 | 0.443 | 0.443 | 0.453 | 0.463 | 0.473 | 0.473 | 0.473 | 0.443 | 0.453 | 0.463 |
46.0 | 0.453 | 0.453 | 0.453 | 0.463 | 0.483 | 0.453 | 0.463 | 0.463 | 0.453 | 0.443 | 0.473 | 0.483 | 0.463 | 0.453 | 0.463 | 0.443 | 0.433 | 0.483 | 0.453 | 0.453 | 0.453 |
47.0 | 0.453 | 0.453 | 0.443 | 0.453 | 0.423 | 0.463 | 0.433 | 0.443 | 0.453 | 0.463 | 0.443 | 0.443 | 0.453 | 0.453 | 0.453 | 0.463 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 |
48.0 | 0.463 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.453 | 0.473 | 0.483 | 0.453 | 0.443 | 0.443 | 0.463 | 0.453 | 0.443 | 0.453 | 0.443 | 0.433 | 0.473 | 0.453 | 0.443 |
49.0 | 0.443 | 0.473 | 0.453 | 0.473 | 0.493 | 0.443 | 0.453 | 0.453 | 0.423 | 0.443 | 0.453 | 0.453 | 0.443 | 0.453 | 0.463 | 0.453 | 0.453 | 0.433 | 0.453 | 0.453 | 0.463 |
50.0 | 0.463 | 0.443 | 0.463 | 0.453 | 0.423 | 0.463 | 0.463 | 0.443 | 0.453 | 0.463 | 0.473 | 0.463 | 0.463 | 0.473 | 0.453 | 0.443 | 0.453 | 0.463 | 0.443 | 0.463 | 0.443 |
51.0 | 0.453 | 0.463 | 0.433 | 0.443 | 0.483 | 0.443 | 0.443 | 0.443 | 0.453 | 0.443 | 0.443 | 0.453 | 0.443 | 0.443 | 0.453 | 0.453 | 0.453 | 0.443 | 0.463 | 0.453 | 0.463 |
52.0 | 0.443 | 0.443 | 0.463 | 0.443 | 0.433 | 0.453 | 0.453 | 0.453 | 0.453 | 0.463 | 0.483 | 0.443 | 0.453 | 0.453 | 0.463 | 0.453 | 0.463 | 0.453 | 0.453 | 0.443 | 0.443 |
53.0 | 0.453 | 0.463 | 0.453 | 0.483 | 0.453 | 0.463 | 0.453 | 0.463 | 0.473 | 0.463 | 0.433 | 0.453 | 0.453 | 0.443 | 0.443 | 0.453 | 0.473 | 0.473 | 0.453 | 0.453 | 0.483 |
54.0 | 0.453 | 0.453 | 0.453 | 0.423 | 0.443 | 0.453 | 0.463 | 0.473 | 0.433 | 0.443 | 0.453 | 0.463 | 0.463 | 0.453 | 0.443 | 0.453 | 0.433 | 0.433 | 0.453 | 0.463 | 0.443 |
55.0 | 0.453 | 0.443 | 0.443 | 0.473 | 0.453 | 0.453 | 0.463 | 0.443 | 0.463 | 0.453 | 0.453 | 0.463 | 0.483 | 0.453 | 0.463 | 0.453 | 0.463 | 0.453 | 0.463 | 0.453 | 0.433 |
56.0 | 0.463 | 0.453 | 0.473 | 0.443 | 0.463 | 0.453 | 0.443 | 0.443 | 0.453 | 0.453 | 0.443 | 0.443 | 0.423 | 0.453 | 0.443 | 0.473 | 0.453 | 0.463 | 0.433 | 0.453 | 0.463 |
57.0 | 0.463 | 0.453 | 0.463 | 0.473 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.453 | 0.463 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 |
58.0 | 0.443 | 0.453 | 0.463 | 0.433 | 0.433 | 0.463 | 0.453 | 0.453 | 0.453 | 0.463 | 0.453 | 0.453 | 0.453 | 0.443 | 0.453 | 0.443 | 0.463 | 0.473 | 0.443 | 0.473 | 0.453 |
59.0 | 0.473 | 0.473 | 0.433 | 0.453 | 0.463 | 0.473 | 0.453 | 0.463 | 0.443 | 0.443 | 0.463 | 0.463 | 0.463 | 0.483 | 0.483 | 0.483 | 0.443 | 0.453 | 0.463 | 0.433 | 0.473 |
60.0 | 0.433 | 0.463 | 0.453 | 0.463 | 0.453 | 0.433 | 0.453 | 0.443 | 0.473 | 0.453 | 0.473 | 0.463 | 0.473 | 0.453 | 0.433 | 0.423 | 0.473 | 0.453 | 0.463 | 0.463 | 0.443 |
robot --loglevel DEBUG iperf3_plot.robot