PICViewer

PICViewer is a visualization GUI implemented on PyQt. The toolkit provides various easy-to-use functions for data analysis of Warp/WarpX simulations.

It works for both plotfiles and openPMD files.

Main features

• 2D/3D openPMD or WarpX data visualization,

• Multi-plot panels (up to 6 rows x 5 columns) which can be controlled independently or synchronously

• Interactive mouse functions (panel selection, image zoom-in, local data selection, etc)

• Animation from a single or multiple panel(s)

• Saving your job configuration and loading it later

• Interface to use VisIt, yt, or mayavi for 3D volume rendering (currently updating)

Required software

• python 2.7 or higher: http://docs.continuum.io/anaconda/install.

• PyQt5

  conda install pyqt
  

• h5py

• matplotlib

• numpy

• yt

  python3 -m pip install git+https://github.com/yt-project/yt.git --user
  

• numba

Installation

python3 -m pip install picviewer

You need to install yt and PySide separately.

You can install from the source for the latest update,

python3 -m pip install git+https://bitbucket.org/ecp_warpx/picviewer/

To install manually

• Clone this repository

  git clone https://bitbucket.org/ecp_warpx/picviewer/
  

• Switch to the cloned directory with cd picviewer and type python setup.py install

To run

• You can start PICViewer from any directory. Type picviewer in the command line. Select a folder where your data files are located.

• You can directly open your data. Move on to a folder where your data files ae located (cd [your data folder]) and type picviewer in the command line.

Note

We currently seek a new maintainer for PICViewer. Please contact us if you are interested.