Public
Edited
Mar 29, 2024
md`# Cut polygon with MultiLine #159`
data = {
const { point, segment, Polygon, Multiline } = Flatten;
const poly = new Polygon([
point(20, 20),
point(60, 20),
point(60, 60),
point(20, 60)
]);
const segments = [
segment(20, 20, 40, 40),
segment(40, 40, 50, 40),
segment(50, 40, 60, 60)
];
const m = new Multiline(segments);
const newPoly = poly.cut(m);
return [...newPoly.toArray(), ...newPoly.vertices];
}
transformed_data = {
let m = data2center(data, width, height);
let transformed_data = data.map((shape) => shape.transform(m));
return transformed_data;
}
svgString = {
const colors = ["lightgreen", "lightblue"];
let svgString = transformed_data.reduce(
(acc, shape, ind) => (acc += shape.svg({ fill: colors[ind] })),
""
);
return svgString;
}
stageBox = new Flatten.Box(0,0,width,height)
height = 400
function data2center(data, width, height) {
let {matrix} = Flatten;
let box = data.reduce( (acc,shape) => acc = acc.merge(shape.box), new Flatten.Box() )
let data_width = box.xmax - box.xmin || 400;
let data_height = box.ymax - box.ymin || 400;
let k = Math.min( width / (1.1*data_width), height / (1.1*data_height) );
let tx = width/2 - k*(box.xmin + box.xmax)/2;
let ty = height/2 - k*(box.ymin + box.ymax)/2;
let m = matrix().translate(tx,ty).scale(k,k)
return m;
}
Flatten = require("@flatten-js/core@1.5.0")
d3 = require("d3")
// Flatten = {
// const response = await fetch(
// "https://raw.githubusercontent.com/alexbol99/flatten-js/159-cut-polygon-with-multiline/dist/main.umd.js"
// );
// const blob = await response.blob();
// return require(URL.createObjectURL(blob)).catch(() => window.flatten);
// }
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.