Interactive NetworkX graphs: Python to workbench and back
This example follows the Les Misérables character network from NetworkX to a notebook, into the full workbench for editing, and back to the same Python session.
Construct the graph, bind NetworkX data to the view, react to selection, and read the project back from the notebook renderer.
Move into the full workbench, compare Full and Backbone views, and relax the layout without moving the part arranged by hand.
Hand editing back to the notebook and use project fingerprints to distinguish an unchanged graph from an edited visual workspace.
Download the starting .gph project
or begin with Start with NetworkX.