This is a really thin shiv that lets you run static d3js scripts to produce SVG / HTML outputs in your Jupyter notebooks. Underneath the covers, it uses d3-node.
Why is this?
Because it makes writing my dissertation easier. I have some dynamic visualizations that are d3-based. But, for the write-up, I also have static snapshots as illustrations. This is my DRY hack. It let’s me reuse the code in a way that isn’t terribly intrusive. (Well, that, and I don’t like out-of-Jupyter-core JS in my notebooks.)
Assuming you have node and yarn,
pip install d3nb
The following snippet runs the given cell source with my_node_project_dir as the working directory, then outputs the SVG. If that directory doesn’t exist, you can run the initial cell magic line as, %%d3nb_svg my_node_project_dir --init to set it up.
%%d3nb_svg my_node_project_dir var D3Node = require('d3-node') var d3 = require('d3') var d3n = new D3Node() var svg = d3n.createSVG() // See: https://www.npmjs.com/package/d3-node // ... console.log(d3n.svgString())
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