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

首先比较所引用的 ipyvolume serialize.py 和 js/src/serialize.js 实现，然后检查 Plotly.js 中现有的 pointcloud Float32Array 处理方式以及 GL trace 的入口点。该 issue 未指定任何 Plotly.js 文件或测试；要完成这项工作，需要就受支持的 GL trace 范围、缓冲区反序列化达成一致，并验证数组数据不会进行 JSON 序列化。