imshow(data, 0.5, colorScales[color])
complexFunctions = ({
"Gamma Function": math.gamma,
"csc": math.csc,
"sin": math.sin,
"log": math.log,
"exp": math.exp,
"sqrt": math.sqrt,
"1/z": d => math.divide(1, d),
"Identity": d => d,
"asin": math.asin,
})
function checkerBoard(x, y) {
return Math.abs(Math.abs(Math.floor(x) % 2) - Math.abs(Math.floor(y) % 2));
}
function latticeProximity(x, y) {
// alpha: prevent divergence of log - the smaller the sharper
const dx = - Math.log(alpha + Math.abs(x - Math.round(x)));
const dy = - Math.log(alpha + Math.abs(y - Math.round(y)));
// Normalize
const minVal = - 2 * Math.log(alpha + 0.5);
const maxVal = - 2 * Math.log(alpha);
// range of return value: [0, 1]
return (dx + dy - minVal) / (maxVal - minVal);
}
function convert(x, y) {
const c = complexFunctions[selectedFunction](math.complex(x, y));
return [c.re, c.im];
}
data = {
const resolution = 800; // # of pixels
const range = 3; // drawing range
const invertedLattice = d3.cross(
d3.range(-range, range, 2*range/resolution).reverse(),
d3.range(-range, range, 2*range/resolution)
).map(coord => method(...convert(...coord.reverse())));
return math.reshape(invertedLattice, [resolution, resolution]);
}
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.