Closed marcomusy closed 5 months ago
Hi @raphaelsulzer this works for me
pip install -U git+https://github.com/marcomusy/vedo.git
then
from vedo import *
np.random.seed(2)
grid1 = Grid().add_gaussian_noise(0.8).triangulate().lw(1)
grid1.celldata['scalar'] = grid1.cell_centers[:,1]
grid2 = grid1.clone().collapse_edges(0.1)
show(grid1, grid2, N=2, axes=1)
After updating with pip install -U git+https://github.com/marcomusy/vedo.git
it works like a charm. I guess I had an old version installed.
Thank you so much for the quick response and for your work on this library in general. It is a really great tool!
I have a similar issue:
I have a mesh with custom data per face, stored in mesh.celldata["mydata"] I now iteratively collapse edges of the mesh and call mesh.clean() after each iteration to update topology (a slightly modified version of vedo.Mesh.collapse_edges()). While mesh.clean() correctly removes faces, e.g. when a triangle edge is collapsed, it does not update the celldata array. Is there any way to update the celldata, or e.g. get a map from input to output cells when calling mesh.clean()?
NB: the trick to move "mydata" to pointdata before mesh.clean() and then back does not work, because I do not want to interpolate "mydata".
Originally posted by @raphaelsulzer in https://github.com/marcomusy/vedo/issues/992#issuecomment-1881098489