Visualization toolmaker. Founder @observablehq. Creator @d3. Former @nytgraphics. Pronounced BOSS-tock.
Published
Edited
Mar 6, 2020
7 forks
Importers
62 stars
function ramp(color, n = 512) {
const canvas = DOM.canvas(n, 1);
const context = canvas.getContext("2d");
canvas.style.margin = "0 -14px";
canvas.style.width = "calc(100% + 28px)";
canvas.style.height = "40px";
canvas.style.imageRendering = "-moz-crisp-edges";
canvas.style.imageRendering = "pixelated";
for (let i = 0; i < n; ++i) {
context.fillStyle = color(i / (n - 1));
context.fillRect(i, 0, 1, 1);
}
return canvas;
}
ramp(t => `hsl(${t * 360},100%,50%)`) // The dreaded angry rainbow!
ramp(d3.interpolateRainbow) // A better cylical color scheme.
ramp(d3.interpolateViridis) // A nice sequential color scheme.
ramp(d3.interpolateViridis, 12) // With a discrete number of steps.
ramp(d3.interpolateRgb("red", "blue")) // Also works nicely with D3 interpolators.
ramp(d3.interpolateLab("red", "blue"))
ramp(d3.interpolateHclLong("red", "blue"))
d3 = require("d3-scale-chromatic@1", "d3-interpolate@1")
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.