Email: [email protected]
PingPlot is a Python script which pings a given host and records the latency of each ping as a function of time. When you choose to stop, a plot is generated showing your latency to the host as a function of time since the startup of the program. It utilizes numerous Python libraries and especially takes advantage of Matplotlib and NumPy.
If you experience a timeout (100% packet loss) for a certain amount of time, the plot shows a red-shaded area across the times your connection to the host was down. This may be useful in diagnosing network connection issues, both client and server side.
PingPlot is meant to be run as a command line program. The run arguments/options are listed below. If you wish to run this program from Windows, create a shortcut, right click on it, scroll down to properties, and then append any of the options/arguments below to the target field. To run the program with these arguments, just run the shortcut.
If you have any questions/comments, please feel free to email me at [email protected] or through my github page, github.com/ccampo133. Also feel free to create issues in this repo's issue tracker.
This application was inspired by PingPlotter, which is basically a more robust version of this software.
See the example directory for example log files.
This assumes you have Python (3+) installed on your system.
I recommend using a virtualenv:
$ python -m venv venv
Then activate it:
$ source venv/bin/activate
Next, install the requirements:
$ pip install -r requirements.txt
Then run via the command line:
Usage: python pingplot.py [options]
Options:
-h, --help show this help message and exit
-p, --plot generates plot after data collection is finished
-f, --file save plot to file in the current directory
-H HOST, --host=HOST the url or ip address to ping [default: google.com]
-n N, --num=N the number of packets to send on each ping iteration
[default: 1]
-t DT, --dt=DT the time interval (seconds) in which successive pings
are sent [default: 0.5 s]
-l, --log save a logfile of the event in the current directory
-s SIZE, --size=SIZE If plotting/saving a plot, this is the plot's
dimensionsin pixels (at 80 DPI) in the format XxY
[default: 1280x640]
Example:
$ python pingplot.py -H example.com