canvasxpress-magic

A %%cxplot IPython / Jupyter magic for CanvasXpress — render an interactive chart straight from a notebook cell, no HTML or JavaScript. Works in Jupyter, JupyterLab and VS Code notebooks; the chart is a self-contained iframe that loads CanvasXpress from the CDN, so there is nothing to build.

Install

pip install canvasxpress-magic

Use

%load_ext canvasxpress_magic

Cell magic — the cell body is a JSON {"data", "config"} spec:

%%cxplot
{"data": {"y": {"vars": ["Revenue"],
                "smps": ["Q1", "Q2", "Q3", "Q4"],
                "data": [[10, 14, 9, 17]]}},
 "config": {"graphType": "Bar", "title": "Quarterly Revenue"}}

Line magic — render a spec held in a Python variable:

spec = {"data": {...}, "config": {"graphType": "Line"}}
%cxplot spec

Both accept sizing flags:

%%cxplot --width 800 --height 500
{ ... }

data and config are exactly the arguments of new CanvasXpress({...}), so any spec from the gallery or the R / Python packages works unchanged.

License

Dual-licensed. The core library is LGPL-3.0-or-later; commercial terms are available — see https://canvasxpress.org/license.html.