FEplot now supports xdmf files visualization!

[ZAARAOUI999]

Hi @adtzlr I wish you well and all your family, I'm just going to tell you that we are able now to visualize all the data that are passed to the xdmf file. Here is an example:

import felupe as fem
from feplot import Plotter 

mesh = fem.Cube(n=6)
region = fem.RegionHexahedron(mesh)
field = fem.FieldContainer([fem.Field(region, dim=3)])

boundaries, loadcase = fem.dof.uniaxial(field, clamped=True)

umat = fem.OgdenRoxburgh(material=fem.NeoHooke(mu=1), r=3, m=1, beta=0)
solid = fem.SolidBodyNearlyIncompressible(umat, field, bulk=5000)

move = fem.math.linsteps([0, 1, 0, 1, 2, 1], num=5)
step = fem.Step(items=[solid], ramp={boundaries["move"]: move}, boundaries=boundaries)

job = fem.CharacteristicCurve(steps=[step], boundary=boundaries["move"])
job.evaluate(filename="result.xdmf")

p = Plotter()
p.read_xdmf("result.xdmf")

Then you should get this;

result.mp4

[adtzlr]

Hi @ZAARAOUI999, great news! Hope you are fine?

That means you switched from the matplotlib backend to pyvista and from static plots to an interactive app? 🚀

Also, XDMF-support means FEplot now works with any time-series data, e.g. from dolphin (fenics)?

[ZAARAOUI999]

That means you switched from the matplotlib backend to pyvista and from static plots to an interactive app?
Exactly.
with any time-series data
I'm not totally sure, but this depends on the capability of the xdmf reader of meshio package.