This bar chart plot shows the scalar output values of the currently selected design relative to the minimum and maximum response value. Each value bar is divided into two sub-bars if approximated and validated designs are available. The lower bar shows the validated response value and the upper bar shows the approximated value. A big gap is an indication of a bad approximation. If you select a response parameter, its history is shown in the History plot.

Preferences

The following preference settings are available:

For more details, see Plot Preference Settings.

Python Scripting

Create Visual

Creates Response Values plot using data with data_id.

    response_values = Visuals.ResponseValues(
        Id("Response values"),
        data_id
    )
                            

Add to Postprocessing

Adds Response Values plot in postprocessing to control_container, using the specified relative positioning.

    control_container.add_control (
        response_values,
        True,
        RELATIVE_POSITIONING,
        0., 0., 1., 1./2.
    )