How do I check with PyDPF if a particular result is available for a time-step in my results file?

Ayush Kumar

How do I check with PyDPF if a particular result is available for a time-step in my results file?

Ayush Kumar

You need to scope all the time-steps in your Time scoping. DPF returns a fields container with Fields for all time-steps but where results are absent the elementary count is 0. The following code can be used as an example:

from ansys.dpf import core as dpf

rst = r"\Path\to\file.rst"

dpf.start_local_server(ansys_path=r"C:\Program Files\ANSYS Inc\v222")
print(dpf.SERVER.info)
model = dpf.Model(rst)

ds = dpf.DataSources(rst)
ts = dpf.Scoping()
ts.ids = range(1, model.metadata.time_freq_support.n_sets + 1)

stress = dpf.operators.result.stress(data_sources=ds, time_scoping=ts)
stress_fc = stress.outputs.fields_container.get_data()

def check_if_result_exists_at_time(fc, time_index):
    if fc[time_index].elementary_data_count > 0:
        return True
    return False

time_index = 2
res_bol = check_if_result_exists_at_time(stress_fc, time_index)
print(f"Stress result at time-step {time_index}: {res_bol}")