This plot assembles data in lists or a list of lists in Python, and then displays them as chart.

The available Python example script is add_custom_data_plot.py.

The following Python code snippet are excerpts from this script.

Create Visual

Creates a custom data plot using data with data_id, although data is not required.

    custom_data = Visuals.CustomData(Id("Custom Data"), data_id)
                            

Add to Postprocessing

Adds custom data plot in postprocessing to control_container, using the specified relative positioning.

    control_container.add_control (
        custom_data,
        True,
        RELATIVE_POSITIONING,
        1./3., 0, 1./3., 1./3.,
        "Data mining"
    )
                            

Select Type

Selects the plot type.

    plot_type = Visuals.CustomData_Type.Lines
                        

Figure 8: Grid

Figure 9: Lines

Figure 10: Points

Figure 11: Bars

Figure 12: HorizontalBars

Figure 13: Box

Figure 14: StackedBars

Figure 15: StackedHorizontalBars

Figure 16: HorizontalBox

Figure 17: EvalMesh

Figure 18: Mesh - Single Triangles

Figure 19: Mesh - Colored Stripe

Add Data

To add some data to the plot:

    custom_data.add_data("layer", PyOSDesignEntry(ListList2VariantSignal(mat, vec)),StyleList(),WStrList(), False, plot_type )
                        

Parameters are:

Preferences

The following preference settings are available:

For more details, see Plot Preference Settings.