movement = {
var t = new Date();
while (true) {
let time = (new Date() - t)/1000,
mult1 = Math.sin(time),
mult2 = Math.cos(time);
values.speedx = values.dx.map(d => d * mult1 + 2 * Math.cos(d));
values.speedy = values.dy.map(d => d * mult2 + 2 * Math.sin(d));
values.xpos = values.xpos.map((d,i) => (d + values.speedx[i] + width) % width )
values.ypos = values.ypos.map((d,i) => (d + values.speedy[i] + height) % height )
yield time;
}
}
kernel = function(
xpos,
ypos,
values,
speedx,
speedy,
colorScaleImageData,
distance_type,
radius
) {
var flagDist = -1;
var mindist = radius;
var dist = 0;
var A = 20; // speed look-ahead (for speed-based distance)
var border = 0;
for (var i = 0; i < this.constants.numPoints; i++) {
var x = this.thread.x - xpos[i],
y = this.thread.y - ypos[i];
// show speed arrow
if (
Math.abs(Math.atan2(y, x) - Math.atan2(speedy[i], speedx[i])) < 0.02 &&
x * x + y * y < A * A * (speedy[i] * speedy[i] + speedx[i] * speedx[i])
) {
this.color(1, 0, 0, 1);
continue; // fixed in v2.0.1 😇
}
if (Math.sqrt(x * x + y * y) < 4) {
mindist = 0;
flagDist = 0;
}
// fwd
if (distance_type == 4 || distance_type == 5) {
x = x - A * speedx[i];
y = y - A * speedy[i];
}
// euclidian
if (distance_type != 1) {
dist = Math.sqrt(x * x + y * y);
}
// weighted
if (distance_type == 3 || distance_type == 5) {
dist = dist * (1 + (4 * i) / this.constants.numPoints);
}
// manhattan
if (distance_type == 1) {
dist = Math.abs(x) + Math.abs(y);
}
if (dist < mindist) {
if (mindist - dist < 3) {
border = 1;
} else {
border = 0;
}
mindist = dist;
flagDist = i + 1;
}
}
var value = values[flagDist];
var c = Math.ceil(255 * value);
if (flagDist == 0) {
this.color(0.2, 0.2, 0.2, 1);
} else if (border == 1) {
this.color(1, 1, 1, 1);
} else if (flagDist > 0) {
this.color(
colorScaleImageData[c * 4] / 255,
colorScaleImageData[1 + c * 4] / 255,
colorScaleImageData[2 + c * 4] / 255,
1
);
} else if (flagDist < 0) {
this.color(1, 1, 1, 1);
}
}
render = {
var gpu = new GPU.GPU({ mode: processorType });
return gpu
.createKernel(kernel)
.setConstants({ numPoints: values.values.length })
.setOutput([width, height])
.setGraphical(true);
}
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.