Warping by Vectors

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.

from itertools import product

import pyvista as pv
from pyvista import examples

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

p = pv.Plotter(shape=(1, 2))
p.subplot(0, 0)
p.add_text("Before warp")
p.add_mesh(sphere, color='white')
p.subplot(0, 1)
p.add_text("After warp")
p.add_mesh(warped, color='white')
p.show()

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]
p = pv.Plotter(shape=(2, 2))
for i, j in product(range(2), repeat=2):
    idx = 2 * i + j
    p.subplot(i, j)
    p.add_mesh(sphere.warp_by_vector(factor=warp_factors[idx]))
    p.add_text(f'factor={warp_factors[idx]}')
p.show()