Integration of the 3D graphics into RootInteractive using Bokeh

[miranov25]

Starting Example:
http://docs.bokeh.org/en/latest/docs/user_guide/extensions_gallery/wrapping.html#userguide-extensions-examples-wrapping

According main author of Bokeh - not native support of 3D. In example wrapper for vis.js.
See: https://groups.google.com/a/continuum.io/g/bokeh/c/u_j46VHRyt0

Hi,

The mpl.to_bokeh function was never able to convert 3D plots, so it would not have helped here. In fact, it was barely ever able to do much at all. The long-discussed MPL JSON spec that might have made maintainable MPL compatibility possible never materialized, which is why the whole idea was ultimately abandoned.

In any case, the core Bokeh library does not focus on or provide any built-in 3d capability, and it's unlikely that it ever will. The "surface3d" example is mostly intended as a demonstration that Bokeh can be extended with custom models and external JS libraries, but the underlying vis.js library that it wraps is purely a toy, in my opinion. If anyone wanted to create a custom extension to integrate a better 3d JS library with Bokeh, that would be great. Something like three.js is probably a good candidate, though there may be others I am not aware of. It could be a little work or a lot of work, depending on whether the extension was very specialized and narrow, or more general. For reference, the chapter on creating custom extensions is here:

https://bokeh.pydata.org/en/latest/docs/user_guide/extensions.html

Thanks,

Bryan

[miranov25]

Related JIRA: https://alice.its.cern.ch/jira/browse/PWGPP-618

[miranov25]

We wil start with visjs example as in https://bokeh.pydata.org/en/latest/docs/user_guide/extensions.html
based on success - later use threejs

[miranov25]

Adding 3D plot to the arrays:
RootInteractive/InteractiveDrawing/bokeh/bokehTools.py:def bokehDrawArray(dataFrame, query, figureArray, **kwargs):
if "varZ" - use it in 3D otherwise scatter as it was before:

            figureI.scatter(x=varNameX, y=varNameY, fill_alpha=1, source=source, size=optionLocal['size'],
                            color=optionLocal["color"],
                            marker=optionLocal["marker"], legend_label=varY + " vs " + varX)

New functionality to be tested within:
RootInteractive/InteractiveDrawing/bokeh/test_bokehDrawSA.py

Either new function there all add there 3D in one of figures

[miranov25]

3D graphics integrated via visJS - since commits above but not working properly in the Jupyter notebook
Should be fixed before closing.
Eventually other 3D library should be used ...