pythondata-visualizationvtkmayavi

Mayavi points3d with different size and colors


Is it possible in mayavi to specify individually both the size and the colors of every point?

That API is cumbersome to me.

points3d(x, y, z...)
points3d(x, y, z, s, ...)
points3d(x, y, z, f, ...)

x, y and z are numpy arrays, or lists, all of the same shape, giving the positions of the points.
If only 3 arrays x, y, z are given, all the points are drawn with the same size and color.
In addition, you can pass a fourth array s of the same shape as x, y, and z giving an associated scalar value for each point, or a function f(x, y, z) returning the scalar value. This scalar value can be used to modulate the color and the size of the points.

So in this case scalar controls both the size and the color and it's not possible to disentangle them. I want a way to specify size as a (N,1) array and color as another (N,1) array individually..

Seems complicated?


Solution

  • Each VTK source has a dataset for both scalars and vectors.

    The trick I use in my program to getting the color and size to differ is to bypass the mayavi source and directly in the VTK source, use scalars for color and vectors for size (it probably works the other way around as well).

    nodes = points3d(x,y,z)
    nodes.glyph.scale_mode = 'scale_by_vector'
    
    #this sets the vectors to be a 3x5000 vector showing some random scalars
    nodes.mlab_source.dataset.point_data.vectors = np.tile( np.random.random((5000,)), (3,1))
    
    nodes.mlab_source.dataset.point_data.scalars = np.random.random((5000,))
    

    You may need to transpose the 5000x3 vector data or otherwise shift the matrix dimensions somehow.

    enter image description here