Is there a faster and more efficient way to extract tabular data on Linux?

Unfortunately

 pane=ExtAPI.UserInterface.GetPane(MechanicalPanelEnum.TabularData)
 control = pane.ControlUnknown

This approach doesn't work on Linux and also the alternative found here:

https://discuss.ansys.com/discussion/comment/4362#Comment_4362

Is very slow.

Thank you

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Collins

@Pernelle Marone-Hitz

Ansys suggestions, would be very much appreciated.

Collins

Following up on this question; In case anyone is going through this problem.

I have used the core idea of the referenced algorithm and adapted it for transient analysis (for directional acceleration data).
This runs faster compared to the referenced one because the Python looping is a little more efficient

 obs = []
 DirectionalAcceleration = [child for child in transient_analysis.Solution.Children if 
 child.DataModelObjectCategory == DataModelObjectCategory.DirectionalAcceleration]
 with Transaction():
       time_steps = transient_analysis.GetResultsData().ListTimeFreq   
       for result in DirectionalAcceleration:
            result_type = result.GetType().ToString()
            if 'Results' in result_type:
               result.By = SetDriverStyle.Time
               t_unit = result.Time.Unit
               result.DisplayTime = Quantity(time_steps[0], t_unit)
               result.EvaluateAllResults()
               data = [result.Average for time in time_steps]
               obs.append( data)

Note this works fine on Linux.

If anyone finds something faster kindly post here.

CHeer!!