Edit a NetworkX graph visually and return it to Python

Part 3 of Python to workbench and back.

The notebook and browser share one editing handoff. Choose Open in Garphield to move the current project to the workbench; choose Return to notebook to move the edited project back.

Open the workbench

import garphield as gph
import networkx as nx

graph = nx.les_miserables_graph()
view = gph.show(
    graph,
    node_size=graph.degree,
    node_color=nx.community.greedy_modularity_communities(graph),
    node_label=str,
    layout="force",
)

Choose Open in Garphield. The notebook becomes a passive view while the browser owns editing.

Garphield notebook view with the control that opens the project in the full workbench — The project moves to the workbench; the notebook becomes a passive view.

Return the edited project

Choose Return to notebook in the browser, then continue with the same view:

view.status
# 'ready'

returned = view.to_project()
returned_graph = view.to_networkx()
returned.save("les-miserables-refined.gph")

Check what changed

before = gph.Project.from_networkx(graph)
after = view.to_project()

{
    "same_graph": before.semantic_fingerprint()
    == after.semantic_fingerprint(),
    "same_workspace": before.project_fingerprint()
    == after.project_fingerprint(),
}
# {'same_graph': True, 'same_workspace': False}

Notebook output showing that graph data stayed the same while the project changed — The graph is unchanged; the project records the visual decisions made in Garphield.

The semantic fingerprint covers graph data. The project fingerprint also covers the view, history, sets, and story.