Jupyter meets MathBox

[Alexander Mordvintsev]

Hi, everybody!

I've made a notebook that shows how one can integrate MathBox plots into Jupyter and feed them data from Python backend. WebGL supporting browser and a decent GPU required.

MathBox2 is an amazing visualization library created by Steven Wittens. This is a very promising project, containing some really interesting ideas. 

Unfortunately It's not very mature and haven't been updated for a year already. I really don't want it to be abandoned, so I decided to make a few samples to show that it can be useful as a visualization tool for scientific python community.

[nicolas.fr]

Well done! MathBox2 is Impressive.

[orodbhen]

Thanks for this. I've actually been thinking for awhile about creating a Python wrapper for MathBox. 

I've experimented a bit with VisPy, but found it be very complicated, and couldn't get it to work in Jupyter. 

I'm thinking it wouldn't be too difficult to create a Python wrapper that generates JavaScript files and displays them using IPython.display. I admit, though, that I don't know JavaScript very well, which is why it's taken me so long to get the project going. 

I imagine you already know this, but you can run MathBox files in Jupyter without having all the JavaScript in your notebook, with something like this:

%%HTML

<iframe width="100%" height="350" src="empty.html?inline=true"></iframe>

[Alexander Mordvintsev]

I was also thinking about making a wrapper, until I realized that I can do my visualizations with JS right in ipython. See the section "feeding data from python". You can do your data analysis in Python, pass it to the browser, and render with MathBox without ever leaving ipython. 

The required subset of js isn't that hard to learn. MathBox required some effort to understand though.

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[Lambda Lambda]

I'm not one for necroposting, but this is pretty cool man. Thank you!

I'll make sure to post whatever use I find for this.