This plot shows a 2D projection of the parameter space of all active, successful designs. Select the 2D projection room using 1st and 2nd dimension selection in the Common Settings pane. A design number label is displayed when a design is selected. You can select multiple designs by pressing Ctrl and clicking on the designs.

You can color or deactivate selected designs in the context menu. The deactivation of designs affects the full recalculation of the statistic data. Design coloring is shown in this plot and in the Cloud plot. Failed designs are plotted into a separate layer (red unfilled circle). After switching from the primary layer to Failed designs, you can select the designs and the design number label is displayed.

Alternatively, you can visualize another one or two dimensions by color and/or size. Use the Dimension for color and Dimension for size settings in the Common Settings pane. Both settings select a dimension in respect to the design value of this additional dimension.

The context menu options for this plot are:

Option	Description
Deactivate	Deactivate selected designs
Activate all	Activate all designs
Style	Style > Color > Color: Apply color to selected designs.
	Style > Custom: Opens the Custom Style dialog box.   Color Click Choose to select a color. Symbol Type: Default: Symbol is determined for each plot differently. For example, an anthill plot shows a circle, and signal plot shows no symbol. Circle: Plot shows a circle. Rectangle: Plot shows a rectangle. Triangle: Plot shows a triangle. Diamond: Plot shows a diamond. Scale: Initial symbol size for this design. Can be scaled up with symbol scale setting in the plot preferences. Line Stipple: Default: The line view depends on the plot default. For example, the signal plot default is a solid line. None: Do not render a line. Solid: Renders the line for the design as a solid line. Dashed: Renders the line for the design as a dashed line. Dotted: Renders the line for the design as a dotted line. Width: Initial line width for this design. Can be scaled up with line width setting in the plot preferences.

Settings

Python Scripting

Creates an Anthill plot using data with data_id.

    anthill = Visuals.Anthill(Id("Anthill plot"), data_id  )
                            

Add to Postprocessing

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

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