{
const context = DOM.context2d(width, width);
const lines = [];
for (let i = 0; i < points.length - 1; ++i) {
lines.push([points[i], points[i + 1]]);
}
yield context.canvas;
let t = 0;
let trace = [];
while (true) {
await Promises.delay(50);
context.clearRect(0, 0, width, width);
t = (t + 0.01) % 1;
for (let l of lines) {
line(...l, context);
}
const l = drawIteration(lines, points.length - 1, t, context);
const pt = pointOnLine(...l, t);
circle([...pt, 4], context, { color: "red" });
trace.push(pt);
if (t >= 0.99) trace = [];
for (let i = 0; i < trace.length - 1; ++i) {
line(trace[i], trace[i + 1], context, { color: "red", lineWidth: 2 });
}
}
}
function drawIteration(lines, n, t, context) {
if (n <= 1) return lines;
const c = 100 + (points.length - 1 - n) * points.length;
const color = `rgb(${c}, ${c}, ${c})`;
const p1s = [];
for (let l of lines) {
circle([...l[0], 3], context, { color });
const p1 = pointOnLine(l, t);
circle([...p1, 3], context, { color });
p1s.push(p1);
}
circle([...lines[lines.length - 1][1], 3], context, { color });
const nextLines = [];
for (let i = 0; i < p1s.length - 1; ++i) {
const nl = line(p1s[i], p1s[i + 1], context, { color });
nextLines.push(nl);
}
return drawIteration(nextLines, n - 1, t, context);
}
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.