Warping by Vectors

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This example applies the warp_by_vector() filter to a sphere mesh that has 3D displacement vectors defined at each node.

We first compare the unwarped sphere to the warped sphere. Use plot_compare() to show the meshes side-by-side. The keys of the dict are used as labels.

import pyvista as pv
from pyvista import examples

sphere = examples.load_sphere_vectors()
warped = sphere.warp_by_vector()

datasets = {'Before warp': sphere, 'After warp': warped}
pv.plot_compare(datasets, color='white')

Static Scene

Interactive Scene

We then use several values for the scale factor applied to the warp operation. Applying a warping factor that is too high can often lead to unrealistic results.

warp_factors = [0, 1.5, 3.5, 5.5]
datasets = {
    f'factor={factor}': sphere.warp_by_vector(factor=factor) for factor in warp_factors
}

pv.plot_compare(datasets)

Static Scene

Interactive Scene

Tags: filter