Public
Edited
Jan 9, 2023
4 forks
35 stars
display-p3CYM spectral mixHello, apcachHello, spectral.jsHello, Color.jsMetbrewer color schemesFabio Crameri’s ColormapsColorcetXKCD painbow color mapNamed CSS colorsOil SlickGrid illusionsUMAP SleepwalkSliced Optimal TransportCanvas path blurBlue FluoriteWalk on Spheres — segments editionGraphene Moiré 1.1CMasher color interpolators (#27)Interpolate colors with Catmull-Rom/Cubic/Monotone…?“Perceptually uniform”?Hue blurcmocean color interpolators (#27)Linde–Buzo–Gray RGB Color stipplingAutochromeforcePolarforceAngularcolor2cssRandom ColorsCanvas SpiralFrida Kahlo’s paletteHello glitchBlack and white colored castelo
Walk on Spheres
function closestCirclePoint(x, y, circle) {
const r = Math.hypot(x - circle.x, y - circle.y);
return {
dist: Math.abs(circle.r - r),
value: r < circle.r ? circle.inside : circle.outside
};
}
function closestBoundary(x, y) {
const boundaries = circles.map(circle => closestCirclePoint(x, y, circle));
return d3.least(boundaries, d => d.dist);
}
function walkOnSpheres(x, y) {
let steps = 10,
boundary;
do {
boundary = closestBoundary(x, y);
const phi = Math.random() * 2 * Math.PI;
x += boundary.dist * Math.cos(phi);
y += boundary.dist * Math.sin(phi);
} while (steps-- > 0 && boundary.dist > 1);
return boundary.value;
}
values = {
const RUNS = 7;
const values = new Float32Array(width * height);
for (let c = 0; c < RUNS; c++) {
for (let i = 0; i < width; i++) {
for (let j = 0; j < height; j++) {
const k = i + width * j;
values[k] = (c * values[k] + walkOnSpheres(i, j)) / (c + 1);
}
if (i % 60 === 0) {
yield values;
}
}
}
yield values;
}
color = d3.scaleSequential(d3[`interpolate${colorInterpolator}`])
colors = d3.range(0, 1, 1 / 256).map(v => d3.rgb(color(v)))
height = 500
circles = (replay,
Array.from({ length: 10 }, () => ({
x: Math.random() * width,
y: Math.random() * height,
r: (Math.random() * width) / 4,
inside: Math.random() / 2,
outside: (1 + Math.random()) / 2
})))
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.