Public
Edited
Nov 23, 2022
function f(n) {
let t = Math.floor((Math.sqrt(1 + 8 * n) - 1) / 2);
let k = n - (t * (t + 1)) / 2;
if (t % 2 == 0) return [k, t - k];
return [t - k, k];
}
viewof n = Inputs.range([0, 255], { step: 1 })
f(n)
{
const d = 10;
const sz = 40;
const matrix = html`<div style='width: ${d * sz}px; height: ${
d * sz
}px; position: relative;'/>`;
const mcell = [];
const [ii, jj] = f(n);
for (let i = 0; i < d; ++i) {
let mrow = [];
for (let j = 0; j < d; ++j) {
const ty = ii == i && jj == j ? "pivotcell" : "normalcell";
let cell = html`<div class = 'matrixcell ${ty}' style='top: ${
sz * i
}px; left: ${sz * j}px;' ></div>`;
cell.appendChild(html`(${i},${j})`);
mrow.push(cell);
matrix.appendChild(cell);
}
mcell.push(mrow);
}
return matrix;
}
html`<style>
.matrixcell {
position: absolute;
width: 40px;
height: 40px;
background-color: #F0F0F0;
border: 2px solid white;
line-height: 40px;
text-align: center;
}
.pivotcell {
background-color: tomato;
}
.normalcell {
background-color: #F0F0F0;
}
}
</style>`
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.