How to control the result ids order when using DPF/pyDPF?

While requesting a result, the order of the result items are completely random (especially for elemnodes results). The solution there is to use the rescope operator to "force" DPF/pyDPF to output the items in the wanted order.

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Chemsdine CHEMAI

One needs to use the rescope operator.

Here is an example in Cpython :

from ansys import dpf
from ansys.dpf import core as dpf

f_rst = r'C:\file.rst'
ds  = dpf.DataSources(f_rst)
model = dpf.Model(ds)
mesh = model.metadata.meshed_region

stressX=dpf.operators.result.stress_X()
stressX.inputs.mesh_scoping(mesh.nodes.scoping)
stressX.inputs.data_sources(ds)
stressX_fields=stressX.outputs.fields_container()

print(stressX_fields[0].scoping.ids[:10])


rescope = dpf.operators.scoping.rescope()
rescope.inputs.mesh_scoping(mesh.nodes.scoping)
rescope.inputs.fields(stressX_fields)
rescope_field=rescope.outputs.fields_as_fields_container
print(rescope_field.get_data()[0].scoping.ids[:10])

All comments

Chemsdine CHEMAI

One needs to use the rescope operator.

Here is an example in Cpython :

from ansys import dpf
from ansys.dpf import core as dpf

f_rst = r'C:\file.rst'
ds  = dpf.DataSources(f_rst)
model = dpf.Model(ds)
mesh = model.metadata.meshed_region

stressX=dpf.operators.result.stress_X()
stressX.inputs.mesh_scoping(mesh.nodes.scoping)
stressX.inputs.data_sources(ds)
stressX_fields=stressX.outputs.fields_container()

print(stressX_fields[0].scoping.ids[:10])


rescope = dpf.operators.scoping.rescope()
rescope.inputs.mesh_scoping(mesh.nodes.scoping)
rescope.inputs.fields(stressX_fields)
rescope_field=rescope.outputs.fields_as_fields_container
print(rescope_field.get_data()[0].scoping.ids[:10])