Exporting transient displacement coordinates of nodes

[felixschurk]

Hei,
I am currently running a transient structural analysis in Ansys and want to perform some post processing with pydpf-post.
As the simulation is fairly detailed, the .rst file is around 22 GB.

My main problem now is the runtime of the Python script, loading the data, exporting to displacement is still reasonable from the runtime. However, then exporting the coordinates from a specific node over all time steps is really really really slow (talking here about 1h and more, just for the export).

Based on the documentation (and try outs) it is not currently supported to extract all displacement data in a coordinate, from a node at once it is only doable with a loop. At least the array can only do it for a simple node.
Attached is a snipped providing my current workaround

displacement_zy_421 = np.zeros([max(simulation.set_ids), 2])
selected_node_id = 1569

for i,val in enumerate(simulation.set_ids):
    displacement_zy_421[i,0] = displacement.select(
            set_ids=[val],
            node_ids=selected_node_id,
            components=["Z"]
        ).array
    
    displacement_zy_421[i,1] = displacement.select(
            set_ids=[val],
            node_ids=selected_node_id,
            components=["Y"]
        ).array

Maybe only having one call to the displacement and directly extracting Y and Z in one go improves it a bit, I will try it out and report.

Okay at least for a small sample set it was quite as fast, but still in general slow.

displacement_zy_421 = np.zeros([max(simulation.set_ids), 2])
selected_node_id = 1569

for i,val in enumerate(simulation.set_ids):
    displacement_zy_421[i] = displacement.select(
            set_ids=[val],
            node_ids=selected_node_id,
            components=["Z", "Y"]
        ).array

But in general my question is, is there any method - or way - to easily export a whole time series of a point of interest?