Jupyter inline integration of Tulip

[renoust]

I wonder if there is a way to integrate nicely export of views to Jupyter.
Of course there is the following workaround of calling

from IPython.display import Image
...
view.saveSnapshot('some_path')
Image("some_path")

but I wonder if we could do some better integration, to this purpose, maybe we could have a method (saveSnapshot with a None path?) that returns a view's Image content instead of writing it into a file?

This would have great potential for tutorials

Edit: I forgot to add that the view needs of course to be set invisible (view = tlpgui.createView("Node Link Diagram view", graph, {}, False),
B.t.w. keyword argument show unfortunately doesn't work.

>>> tlpgui.createView("Node Link Diagram view", graph, show= False)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: createView() takes no keyword arguments

[anlambert]

Check this out : https://github.com/anlambert/tulip_python_notebook

This is a module that enable to embed WebGL visualizations of Tulip graphs inside a Jupyter notebook.

I do not consider this stable yet but it should work.

[renoust]

Thanks! It looks very promising!
It sorts of work here, but I'll keep questions for the other github project.
Although your solution is very elegant, it heavily relies on the third-party library that is tulipjs.
Still, I think the image approach has a a more "what you see is what you get" advantage, in addition to the fact that an image can be further processed by other software. I guess these two approaches may serve different purposes.