Color by distance about pyvista-support

[laserman781]

Never mind I solved the issue, thanks!

[banesullivan]

Make sure to index the data frame with the same conditional when grabbing the shortest distance array as you do when you grab the points. Better yet, I’d make an indexing array:

q=50
indices = points['shortest distance']<=q
points_array = points[indices][['x', 'y', 'z']].values
bpoly = pv.PolyData(points_array)
bpoly['shortest distance'] = points[indices]['shortest distance'].values

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[banesullivan]

When using the Plotter, all you should need to do is specify the colormap in the add_mesh call instead of the color argument. Sounds like you want to use the 'coolwarm_r' colormap but any Matplotlib colormap is supported

Try this:

p = pv.Plotter()
p.add_mesh(bpoly.clip(normal='z',
        origin=[0,0,clip_pts]), 
    cmap='coolwarm_r',
    render_points_as_spheres=True)
p.show()

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[laserman781]

@banesullivan by adding cmap = 'coolwarm_r' to the add_mesh the points are all white and don't change by distance...

[banesullivan]

Hm, do you have scalars on the mesh? Maybe make sure:

points_array = points[['x', 'y', 'z']].values
poly = pv.PolyData(points_array)
poly['shortest distance'] = points['shortest distance'].values

p = pv.Plotter()
p.add_mesh(poly.clip(normal='z',
        origin=[0,0,clip_pts]), 
    cmap='coolwarm_r',
    scalars='shortest distance',
    render_points_as_spheres=True)
p.show()

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[laserman781]

It worked after I defined the scalar as shortest distance. Now my problem is, I want to filter for blocks within a specified distance and after trying to include the color map is get this error:

Exception: Number of scalars (153813)must match either the number of points (4910) or the number of cells (4910).

Code:

q=50
points_array = points[points['shortest distance']<=q][['x', 'y', 'z']].values
bpoly = pv.PolyData(points_array)
bpoly['shortest distance'] = points['shortest distance'].values