EJ Fox & Ian Johnson
streaming data, code, acid, design
{
let startTime = new Date().getTime(),
seconds = 0,
secondsRounded = 0,
ticks = 0,
speeds = [];
const ctx = DOM.context2d(myBoids.width(), height);
// const scale = width / height,
let projection = d3.geoIdentity(); //.scale(scale),
let path = d3.geoPath(projection).context(ctx);
let holding = false;
// ctx.canvas.addEventListener("mousedown", e => { holding = true; addBoidOnEvent(e); });
// ctx.canvas.addEventListener("mouseup", e => { holding = false });
// ctx.canvas.addEventListener("mousemove", e => { if (holding) addBoidOnEvent(e); });
while (true && myBoids.flock.length) {
myBoids.tick();
// ctx.clearRect(0, 0, myBoids.width(), myBoids.height());
// ctx.fillStyle = "rgba(255,255,255,0.1)";
ctx.globalAlpha = 0.9;
ctx.fillStyle = cwf[0];
ctx.fillRect(0, 0, width, height);
ctx.globalAlpha = 1;
let contours = contour(myBoids.flock);
for (const contour of contours) {
ctx.beginPath();
ctx.fillStyle = color(contour.value);
path(contour);
ctx.fill();
}
// ctx.beginPath();
myBoids.each(boid => {
boid.vel[1] = -1.8;
// const a = vecmath.trans(boid.pos, boid.ang - Math.PI * .5, 3),
// b = vecmath.trans(boid.pos, boid.ang, 9),
// c = vecmath.trans(boid.pos, boid.ang + Math.PI * .5, 3);
// ctx.moveTo(...a);
// ctx.lineTo(...b);
// ctx.lineTo(...c);
// ctx.lineTo(...a);
// // ctx.arc(boid.pos[0], boid.pos[1], 1.5, 0, Math.PI * 2);
// // const color = d3.interpolateRdPu((.6 * myBoids.maxSpeed()) / boid.speed);
// // ctx.strokeStyle = color;
// ctx.strokeStyle = cwf[2];
// // ctx.fillStyle = d3.color(color).brighter(2);
// ctx.fillStyle = "#111";
});
// ctx.fill();
// ctx.stroke();
seconds = (new Date().getTime() - startTime) / 1e3;
ticks++;
document.querySelector(".ticker").innerHTML = `${
myBoids.flock.length
} boids at ${d3.mean(speeds)} frames per second`;
if (Math.round(seconds) !== secondsRounded) {
speeds.push(ticks);
if (speeds.length > 2) speeds.shift();
secondsRounded = Math.round(seconds);
ticks = 0;
}
yield ctx.canvas;
}
}
import { Boids } from "@harrystevens/vanilla-boids"
import { vecmath } from "@harrystevens/vector-math"
myBoids = {
const sim = new Boids();
// Add 500 boids
for (let i = 0; i < width * .5; i++) {
sim.add();
// yield sim
}
return sim;
}
myBoids
.height(height + 100)
.alignment(0.72)
.cohesion(0.5)
.separation(0.85)
.perception(20)
.quadtree(true)
.maxSpeed(2.75)
import { cwf } from "@codingwithfire/cwf-season-2-reusable-style-elements"
color = d3
.scaleSequential([cwf[0], cwf[1]])
.domain([0, 0.001])
.nice()
myBoids
contour = d3
.contourDensity()
.x(d => d.pos[0])
.y(d => d.pos[1])
.thresholds(thresholds)
// .cellSize(1)
.size([width, height + 100])
height = 500
d3 = require("d3@6", "https://files-5ouswn75j.vercel.app/d3-contour.js")
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.
