Jupyter-specific features

Note

The features described on this page are not currently functional in pydeck v0.9+. Both .show() and .to_html() render via an HTML iframe using the deck.gl JS bundle from jsDelivr. The widget code path in .show() is disabled in the Python source (pydeck/bindings/deck.py). Restoring full Jupyter widget support — including the features below — is tracked as a future improvement.

Jupyter environments offer unique opportunities for two-way data interaction, sharing data between the Python backend and visualization in deck.gl.

To use a visualization with these features, call pydeck.bindings.deck.Deck.show() on the pydeck.bindings.deck.Deck object rather than pydeck.bindings.deck.Deck.to_html().

• Data updates. By calling pydeck.bindings.deck.Deck.update() on a pydeck.bindings.deck.Deck object with a new visualization configuration, you can seamlessly push new data into a pre-existing visualization.

Conway’s Game of Life in pydeck

• Binary data transfer. For certain data sets pydeck can support many millions of points by using Jupyter’s socket-level communication. Further documentation is here.

• Data selection. Data can be selected within a pydeck visualization and pushed back to the client. Holding Command while clicking allows the user to select multiple points.