Dear colleagues,
I thought this might be useful to other people as well:
There is a bunch of interesting python packages for data visualization (bokeh, holoviews, datashader, ipyvolume, etc.) which produce nice interactive plots as html-files with some javascript.
For example here is how to produce interactive plots of optical functions from Elegant twiss_output:
https://apetrenko.blob.core.windows.net ... _plot.html
Use datashader to display tracking results with large number of particles:
https://anaconda.org/petrenko/linking_d ... s/notebook
Or visualize some trajectory tracking:
http://www.inp.nsk.su/~petrenko/misc/Exact_Chicane.html
I wish all articles were published in this Jupyter notebook format, which is easy to share and reproduce
Best regards,
Alexey
Interactive plots of Elegant output in Jupyter
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Re: Interactive plots of Elegant output in Jupyter
Thanks, Alexey, for these nice examples.
--Michael
--Michael