How to plot on a Named Selection of Nodes in PyDPF core

Jim Kosloski

I want to create a plot like this:

Where the mesh not associated with the results is translucent or trans parent.

All I can get with DPFPlotter is this:

It should not be so difficult to plot results scoped to a named selection

Ayush Kumar

@Jim Kosloski You will need to add the other mesh as a separate object, then set the opacity. This method however will get one layer of elements attached to the nodes as opaque. Not sure if we can get rid of that as well.

from ansys.dpf import core as dpf
from ansys.dpf.core.plotter import DpfPlotter

dpf.start_local_server(ansys_path=r"C:\Program Files\ANSYS Inc\v252")

rst = r"D:\…\file.rst"

ds = dpf.DataSources(rst)
model = dpf.Model(ds)
mesh = model.metadata.meshed_region

# Get Mesh Scoping
ns = dpf.operators.scoping.on_named_selection(named_selection_name="FACES")
ns.inputs.data_sources.connect(ds)
my_mesh_scoping = ns.outputs.mesh_scoping()

# Get Mesh from Scoping
mesh_ns = dpf.operators.mesh.from_scoping(scoping=my_mesh_scoping, mesh=model.metadata.meshed_region)
mesh_ns_out = mesh_ns.outputs.mesh.get_data()

# Displacement Field
disp = dpf.operators.result.displacement_X(data_sources=ds, mesh_scoping=my_mesh_scoping)
disp_f = disp.outputs.fields_container.get_data()[0]

# Plot results
plot = DpfPlotter()
plot.add_mesh(mesh, opacity=0.3)
plot.add_field(disp_f, meshed_region=mesh_ns_out)
plot.show_figure(show_axes=True)