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PICViewer
=========
.. figure:: sample_image.png
:alt: picture
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
::
pip install git+https://github.com/yt-project/yt.git --user
* numba
Installation
------------
::
pip install picviewer
You need to install yt and PySide separately.
You can install from the source for the latest update,
::
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 :ref:`contact us <contact>` if you are interested.
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