There are three ways to visualize models composed in PsyNeuLink: statically, using the show_graph <ShowGraph.show_graph> method of a Composition; using the animate argument of a Composition's run <Composition.run> method to output a gif showing the sequence with which its Nodes <Composition_Nodes> are executed (see example <BasicsAndPrimer_Stroop_Example_Animation_Figure>); or interactively to configure the display and plot Component values <Component.value> using PsyNeuLinkView --a standalone application that interacts closely with the Python script in which a PsyNeuLink model is composed.
Note
The PsyNeuLinkView application is still under development; at present, it can be used to display a Composition and arrange its Components. Its functionality is being actively expanded, and it should soon be able to display animated plots of Component values as a Composition executes. It can be accessed here.
At present, use of the Composition's show_graph <ShowGraph.show_graph> method and the animate argument of its run <Composition.run> method are the primary ways to visualize a Composition. The former is described below, including examples <ShowGraph_Examples_Visualization> of its use.
psyneulink.core.compositions.showgraph