QtPlaskin

QtPlaskin is a graphical interface to analyze results from a plasma kinetic code such as ZdPlasKin (1). It supports both a specific data format based on HDF5 and importing directories with certain filesets that can be written from a running FORTRAN code.

QtPlaskin was developed by Alejandro Luque (see original version) at the Instituto de Astrofísica de Andalucía (IAA), CSIC and is licensed under the LGPLv3 License. The development of current Fork is open-sourced. Feel free to contribute!. For any questions you can look at the Issues or join the Community Chat below:

Install

QtPlaskin runs in Linux, Mac OS X and Windows. QtPlaskin is now a Python library. Install it from GitHub with:

git clone https://github.com/erwanp/qtplaskin.git
cd qtplaskin
pip install -e .

-e is for the editable version. Keep it up to date with git pull in the qtplaskin directory

If the install procedure does not work, please refer to the former installation procedure. See the file INSTALL.txt for information on the libraries that must be installed in your system and how to obtain them.

Use

GUI

Installing the library creates a script that you can use from the command line to start the QtPlaskin GUI. Just select the folder where ZdPlaskin created the qt_*.txt files (for instance Results/TestCase/ in the example below):

qtplaskin Results/TestCase/

Remember that you need to tell your ZdPlaskin user code to generate the qt_*.txt files: see the Generate Qt Files section below

Python

Without starting the QtPlaskin GUI interface, you can still use the functions defined in QtPlaskin to load the data generated by ZdPlaskin:

from qtplaskin import FastDirData
d = FastDirData([results folder])
# access d attributes:
d.plot('CO')  # to plot 
d.get('...')  # to retrieve data

Generate Qt Files

With the latest version of ZDPlaskin you can use

  call ZDPlaskin_set_config(QTPLASKIN_SAVE=.true.)

Then you can import the data of your simulation into QtPlaskin by using File -> Import from directory... in the program menu.

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(1) ZdPlaskin is a computer code developed by S. Pancheshnyi, B. Eismann, G.J.M. Hagelaar and L.C. Pitchford, http://www.zdplaskin.laplace.univ-tlse.fr (University of Toulouse, LAPLACE, CNRS-UPS-INP, Toulouse, France, 2008).

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Features specific to this Fork:

Improvements over A. Luque's initial version:

• Dynamic tooltips on plots to analyze graphs with dozens of different lines

• Synchronized timescales over all plots, and dynamic ticks to deal with nanosecond to microsecond ranges

• ported to PyQt5 to keep up with the latest Python environnements

• Python3 compatible

• Made qtplaskin an installable Python library

• call qtplaskin from the command line with with qtplaskin $FOLDER to analyze a given directory

• faster Results folder loading using Pandas instead of Numpy