allow plotly.js to accept numpy buffers

If we allowed all GL plot types to accept numpy buffers for plot x/y/z data, then the Python library could optionally avoid JSON serialization of array data, like @maartenbreddels does in his brillant project ipyvolume:

https://github.com/maartenbreddels/ipyvolume/blob/master/ipyvolume/serialize.py#L95

Here is the deserialization on the JS side:

https://github.com/maartenbreddels/ipyvolume/blob/master/js/src/serialize.js#L16

Plotly.js has all of these incredible WebGL figures for scientific computing, but their potential in Python, R, MATLAB, etc is limited by the JSON serialization step.

In a similar vein, it seems like all GL types should be able to accept Float32Array's directly instead of untyped JS arrays. Currently, it looks like only the Plotly trace type pointcloud accepts Float32Array's:

https://codepen.io/plotly/pen/GEoPgv

Commencez par comparer les implémentations référencées de ipyvolume serialize.py et js/src/serialize.js, puis examinez la gestion existante de Float32Array pour pointcloud dans Plotly.js ainsi que les points d’entrée des traces GL. L’issue ne mentionne aucun fichier ni test Plotly.js ; sa finalisation nécessiterait de s’accorder sur le périmètre des traces GL prises en charge, la désérialisation des buffers et la vérification que les données des tableaux évitent la sérialisation JSON.