Developer, artist, writer, and mother. Core committer to @pydanny 💘My notebooks are for my own personal learning purposes. If you see anything I could be doing better, suggestions would be a huge help.
Published
Edited
Oct 12, 2019
points = [[0, 0], [0, 100], [100, 0], [10, 10]]
delaunay = d3.Delaunay.from(points)
delaunay.render()
voronoi = delaunay.voronoi([0, 0, 50, 50])
svg
.append("path")
.attr("fill", "none")
.attr("stroke", "#67A9CF")
.attr("stroke-width", 1)
.attr("d", delaunay.render())
svg
.append("path")
.attr("fill", "none")
.attr("stroke", "#ef6548")
.attr("stroke-width", 1)
.attr("d", voronoi.render())
d3 = require("d3@5", "d3-delaunay@5")
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
