TRAPpy (Trace Analysis and Plotting in Python) is a visualization tool to help analyze data generated on a device. It parses ftrace-like logs and creates in-memory data structures to be used for plotting and data analysis.
$ sudo apt install trace-cmd kernelshark
$ sudo apt install python-pip python-dev
$ sudo apt install libfreetype6-dev libpng12-dev python-nose $ sudo pip install numpy matplotlib pandas ipython[all]
$ sudo pip install --upgrade trappy
Now launch the ipython notebook server:
$ ipython notebook
This should pop up a browser. If it doesn't, open a web browser and go to http://localhost:8888/tree/
In the doc/
folder there's a 00 - Quick start
which describes how to run TRAPpy. Other notebooks in that directory describe other functions of TRAPpy.
API reference can be found in https://pythonhosted.org/TRAPpy/
The code of the TRAPpy toolkit with all the supported tests and Notebooks can be cloned from the official GitHub repository with this command:
$ git clone https://github.com/ARM-software/trappy.git
An easy way to test your installation is to use the nosetests
command from TRAPpy's home directory:
$ nosetests
If the installation is correct all tests will succeed.