Creative Technologist, Data Scientist, Generative Artist (generatecoll)
p5((s) => {
let c1 = getColor();
let c2 = getColor();
let c3 = getColor();
let c4 = getColor();
s.setup = function () {
s.createCanvas(W, H);
};
const draw_circle = ([x, y], r, c) => {
s.noStroke();
s.fill(c);
s.circle((x + 1) * W * 0.5, (y + 1) * W * 0.5, r * 0.5);
};
let k = (a, b) => (a > 0 && b > 0 ? L(a, b) : a > b ? a : b);
let spread = s.random(0.8);
const sdf = ([x, y]) => {
let bal =
Math.abs(sf.sdf_rep(sf.sdf_circle([x, y], [-spread, 0], 0.2), 0.2)) -
0.05;
let bbl =
Math.abs(sf.sdf_rep(sf.sdf_circle([x, y], [spread, 0], 0.2), 0.2)) - 0.05;
let bbc =
Math.abs(sf.sdf_rep(sf.sdf_circle([x, y], [0, -spread], 0.2), 0.2)) -
0.05;
let bbd =
Math.abs(sf.sdf_rep(sf.sdf_circle([x, y], [0, spread], 0.2), 0.2)) - 0.05;
return Math.min(Math.max(bal, bbl), Math.max(bbc, bbd));
};
s.draw = function () {
for (let k = 0; k < 10000; k++) {
let p = [R(2) - 1, R(2) - 1];
let d = sdf(p);
let col = c1;
if (d < -0.01) col = c4;
if (d > 0.01) col = c3;
draw_circle(p, 2, col);
}
};
})
p5((s) => {
let c1 = getColor();
let c2 = getColor();
let c3 = getColor();
let c4 = getColor();
s.setup = function () {
s.createCanvas(W, H);
};
const draw_circle = ([x, y], r, c) => {
s.noStroke();
s.fill(c);
s.circle((x + 1) * W * 0.5, (y + 1) * W * 0.5, r * 0.5);
};
let k = (a, b) => (a > 0 && b > 0 ? L(a, b) : a > b ? a : b);
let spread = s.random(0.8);
const sdf = ([x, y]) => {
let bal =
Math.abs(sf.sdf_rep(sf.sdf_rhombus([x, y], [-0.1, 0]), 0.2)) - 0.05;
let bbl =
Math.abs(sf.sdf_rep(sf.sdf_circle([x, y], [-0.1, 0], 0.2), 0.2)) - 0.05;
let bbc =
Math.abs(sf.sdf_rep(sf.sdf_circle([x, y], [-0.1, 0], 0.2), 0.2)) - 0.05;
return Math.max(bbl, Math.min(bbc, bal));
};
s.draw = function () {
for (let k = 0; k < 10000; k++) {
let p = [R(2) - 1, R(2) - 1];
let d = sdf(p);
let col = c1;
if (d < -0.01) col = c4;
if (d > 0.01) col = c3;
draw_circle(p, 2, col);
}
};
})
sf = {
const sdf_func = {
sdf_rep: (x, r) => {
x /= r;
x -= Math.floor(x) + 0.5;
x *= r;
return x;
},
sdf_box: ([x, y], [cx, cy], [w, h]) => {
x -= cx;
y -= cy;
return Math.max(Math.abs(x) - w, Math.abs(y) - h);
},
sdf_circle: ([x, y], [cx, cy], r) => {
x -= cx;
y -= cy;
return L(x, y) - r;
},
sdf_rhombus([x, y], [cx, cy], r) {
let p, b, h, d, ss;
p = [x - cx, y - cy].map((x) => Math.abs(x));
b = [cx, cy];
// Clamp function
h = clamp(
ndot(v_vmult(v_sub([cx, cy], 2.0), p), b) / dot([cx, cy], [cx, cy]),
-1,
1
);
d = length(v_vmult(v_vmult(v_sub(p, 0.5), b), [1.0 - h, 1.0 + h]));
return d * sign(p[0] * b[1] + p[1] * b[0] - b[0] * b[1]) - r;
}
};
return sdf_func;
}
sf.sdf_rhombus([4, 5], [5, 4])
v_mult = (v, n) => v.map((x) => x * n)
v_add = (v, n) => v.map((x) => x + n)
v_sub = (v, n) => v.map((x) => x - n)
v_vmult = (v1, v2) => v1.map((v, i) => v * v2[i])
[5, 3].map((x) => x - 2)
sign = (x) => (x > 0 ? 1.0 : x == 0 ? 0 : -1)
dot = ([x, y], [cx, cy]) => {
return x * cx + y * cy;
}
ndot = ([x, y], [cx, cy]) => {
return x * cx - y * cy;
}
length = ([x, y]) => {
return Math.sqrt(x ** 2 + y ** 2);
}
clamp = (num, min, max) => {
return Math.min(Math.max(num, min), max);
}
{
let a = [2, 4];
return a[0];
}
[5, 3].map((x) => x - 2)
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.