ninejs 0.0.9

Bringing interactivity to plotnine

ninejs

Bringing ✨interactivity✨ to plotnine.

ninejs lets you add tooltips and hover grouping to plotnine plots directly from aes() via the tooltip and data_id aesthetic mappings, then export the result as a standalone HTML plot with just 2 or 3 lines of code.

It works out of the box with Jupyter, Quarto, marimo, Streamlit, and Shiny, and it includes a built-in preview in Positron.

See examples.

Quick start

from plotnine import aes, geom_point, ggplot, theme_minimal
from plotnine.data import anscombe_quartet

from ninejs import css, interactive, save

gg = (
  ggplot(
      anscombe_quartet,
      aes(x="x", y="y", color="dataset", tooltip="dataset", data_id="dataset")
  )
  + geom_point(size=7, alpha=0.5)
  + theme_minimal()
)

(
  interactive(gg)
  + css(from_dict={".tooltip": {"font-size": "2em"}})
  + save("plot.html")
)

Installation

pip install ninejs

Documentation

See the full documentation and examples here.

See the contributing guide for local setup, tests, and formatting.