A TKinter python 2.7 GUI for visualizing Tristan-MP plots. A work in progress.

Written by:

Patrick Crumley, [email protected], based on Jaehong's Tristan analysis IDL script.

Dec 10th 2016: Added a really basic movie saving feature. You'll find it in the file menu.

The code is now it's beta phase. See the implemented column for what has already been implemented.

Python packages required: Anaconda 4.4.0, matplotlib 2.0 & its required dependencies, python 2.7.11, h5py. May work for older versions of anaconda and matplotlib, but not guaranteed.

To use the movie saving feature: ffmpeg & xterm.

Iseult should work on Windows, MacOS & Linux.

To run Iseult on tigressdata type the following:

$ module load anaconda/4.4.0
$ source activate root
$ cd /path/to/Iseult/
$ chmod +x ./iseult.py
$ ./iseult.py

When Iseult is started, it checks to see if Tristan-MP data is located at the current path, if it isn't Iseult prompts you to select the directory of where your Tristan-MP data is saved. To edit/change any of the plots, just right click on the subplot directly. You can also change the number of columns, the colormap, and other general settings by clicking the settings button. The measure button allows you to take measurements like T_i, T_e, measure spectra, take 1-D FFTs, etc. The matplotlib interactive toolbar is beneath the playbar, it allows you to save the figure, use your mouse to zoom around, etc.

If you get a set-up you like, you can go to file menu and choose Save Iseult State. It will give you an option to name the 'view.' To replace the default state of Iseult, name the view Default. The views are saved as .cfg files in .iseult_configs folder. You must restart Iseult to see the saved config in the preset views menu.

Enjoy!