Using and sharing charts

The previous sections covered chart definitions and interactions. This section covers displaying those charts, exporting them, and connecting their interactions to Python code.

GenomeSpy executes the chart’s specification in JavaScript, including in notebooks. Zooming, selections, and declarative transforms run in the browser, so exported HTML can remain interactive without Python. Receiving selections or sending new data from Python requires a live connection, provided by the notebook widget or an application server.

• Charts in notebooks: display charts and update their data from later cells.

• Save, export, and share charts: export HTML, images, or specifications, and configure display controls.

• Use chart interactions in Python: receive selections and send results back, with notebook and optional web-app examples.

• Interactive workflows: apply these patterns to interval annotation, gene selection, and sequence editing. The web demos use JavaScript; the downloadable notebooks connect the results to Python.