paths = {
noise.seed(seed)
const TAU = Math.PI * 2
const PERIODX = periodx
const PERIODY = periody
const particles = []
const NUM=num
const ITER=iter
const ROTMULT = rotmul
const SCALE = scale
for (let i = 0; i < NUM; i++) {
particles.push({
x: centre,//(i/NUM * W - W/2) * 0.8,//Math.random() * W,
// y: 0,// + Math.random() * 50,
a: Math.PI * 2 * i / NUM,
})
}
const abs = x => x < 0 ? -x : x
const paths = particles.map(initial => {
let pa = []
let p = {x:initial.x, a:initial.a}
for (let i = 0; i < ITER; i++) {
const n = noise.simplex2(p.x * PERIODX, Math.sin(p.a) * PERIODY) * ROTMULT
p.x += xmul * Math.cos(n)
p.a += Math.sin(n) * xdamp
pa.push([
Math.sin(p.a + Math.PI / 2) * p.x * SCALE + offx,
Math.cos(p.a + Math.PI / 2) * p.x * SCALE + offy
])
}
return pa
})
return paths
}
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
