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K3D-tools / K3D-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
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Per point size in `k3d.points` #295

Closed hgarrereyn closed 3 years ago

hgarrereyn commented 3 years ago

It would be awesome to be able to specify a per-point size in k3d.points as an alternative to a single, global point_size. I.e. in the same vein as #198 except specifying point size rather than opacity.

Current api looks like this:

plot = k3d.plot()
pos = np.random.randn(100,3)
plot += k3d.points(pos, point_size=0.2)
plot.display()

It would be nice to be able to do this:

plot = k3d.plot()
pos = np.random.randn(100,3)
sz = np.random.randn(100)
plot += k3d.points(pos, point_sizes=sz)
plot.display()

I don't imagine this will add much overhead to the shader. I'm happy to try to tackle this myself if someone points me in the right direction.

artur-trzesiok commented 3 years ago

I like your suggestions. It its a complicated a little bit because we have two strategies for points (flat/3d/3dspectular) is a bilboard points and mesh is a ... triangle mesh point. I will investigated that

artur-trzesiok commented 3 years ago

K3D@2.9.7 is released on pypi (and soon on conda-forge) - https://pypi.org/project/K3D/2.9.7/ . Please check a new version that should contain fix for this issue.

hgarrereyn commented 3 years ago

Thanks, just updated and it's working perfectly!

artur-trzesiok commented 3 years ago

Glad to hear that :). Enjoy!