Public
Edited
Sep 19, 2023
1 star
{
const canvas = DOM.canvas(config.width, config.height);
canvas.width *= window.devicePixelRatio;
canvas.height *= window.devicePixelRatio;
canvas.style.width = `${config.width}px`;
drawUVGrid(canvas.getContext("2d"), {
nx: config.nx, ny: config.ny,
colors: { M: [199,35,199], R: [229,20,20], B: [20,20,229], G: [34,158,34] },
});
return canvas;
}
function drawUVGrid(ctx, config) {
drawCells(ctx, config);
drawCoords(ctx, config);
drawGrid(ctx, config);
}
function drawGrid(ctx, { nx, ny }) {
const H = ctx.canvas.height, W = ctx.canvas.width;
ctx.lineWidth = 1;
ctx.strokeStyle = 'white';
for (let i = 0; i <= ny; i++) {
const y = ctx.lineWidth * .5 + (H - ctx.lineWidth) / ny * i;
ctx.beginPath();
ctx.moveTo(0, y);
ctx.lineTo(W, y);
ctx.stroke();
ctx.closePath();
}
for (let i = 0; i <= nx; i++) {
const x = ctx.lineWidth * .5 + (W - ctx.lineWidth) / nx * i;
ctx.beginPath();
ctx.moveTo(x, 0);
ctx.lineTo(x, H);
ctx.stroke();
ctx.closePath();
}
}
function drawCells(ctx, { colors: { R, G, B, M}, nx, ny }) {
const H = ctx.canvas.height, W = ctx.canvas.width;
const sx = W / nx, sy = H / ny;
const im = ctx.getImageData(0, 0, W, H);
const data = new Uint32Array(im.data.buffer);
for (let i = 0; i < H; i++) for (let j = 0; j < W; j++) {
const ty = i / (H - 1), tx = j / (W - 1);
const mr = Array.from({ length: 3 }, (_, i) => lerp(M[i],R[i],ty));
const bg = Array.from({ length: 3 }, (_, i) => lerp(B[i],G[i],ty));
let [r, g, b] = Array.from({ length: 3 }, (_, i) => lerp(mr[i],bg[i],tx));
if (((i / sy | 0) + (j / sx | 0)) % 2 == 0)
r *= 1.08, g *= 1.08, b *= 1.08;
data[i * W + j] = (0xff << 24) | (b << 16) | (g << 8) | r;
}
ctx.putImageData(im, 0, 0);
for (let i = 1; i < 10; i++) for (let j = 1; j < 10; j++) {
ctx.beginPath();
ctx.arc(i * sx, j * sy, 1.5 * window.devicePixelRatio, 0, 2 * Math.PI, false);
ctx.fillStyle = 'white';
ctx.fill();
ctx.closePath();
}
}
function drawCoords(ctx, { nx, ny }) {
const H = ctx.canvas.height, W = ctx.canvas.width;
const fontSize = Math.round(Math.min(W, H) / Math.max(ny, nx) * .16);
ctx.textRendering = "optimizeLegibility";
ctx.fillStyle = 'white';
ctx.letterSpacing = "-.2px";
const sx = W / nx, sy = H / ny;
ctx.font = `${fontSize * 2}px Arial,sans-serif`;
ctx.textBaseline = 'middle';
ctx.textAlign = 'center';
ctx.fillText("0,1", sx * .5, sy * .5);
ctx.fillText("1,1", W - sx * .5, sy * .5);
ctx.fillText("0,0", sx * .5, H - sy * .5);
ctx.fillText("1,0", W - sx * .5, H - sy * .5);
ctx.font = `${fontSize}px Arial,sans-serif`;
for (let i = 0; i < ny; i++) for (let j = 0; j < nx; j++) {
ctx.textBaseline = 'bottom';
ctx.textAlign = 'end';
ctx.fillText((1 - (i + 1) / ny).toFixed(1), (j + 1) * sx - 4, (i + 1) * sy);
ctx.textAlign = 'start';
ctx.textBaseline = 'top';
ctx.fillText((j / nx).toFixed(1), j * sx + 4, i * sy + 6);
}
}
lerp = (a, b, t) => a * (1 - t) + b * t
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.