CS PhD student at UAM, interested in: DataViz, XAI, ML, RecSys, NLP and Big Data.
chart = {
const div = html`<div style="position:relative;">`;
const canvas = d3.select(div)
.selectAll("canvas")
.data(data)
.enter().append(() => DOM.context2d(width, step, 1).canvas)
.style("position", "absolute")
.style("image-rendering", "pixelated")
.style("top", (d, i) => `${i * (step + 1) + margin.top}px`)
.property("context", function() { return this.getContext("2d"); })
.each(horizon);
const svg = d3.select(div.appendChild(DOM.svg(width, height)))
.style("position", "relative")
.style("font", "10px sans-serif");
const gX = svg.append("g");
svg.append("g")
.selectAll("text")
.data(data)
.join("text")
.attr("x", 4)
.attr("y", (d, i) => (i + 0.5) * (step + 1) + margin.top)
.attr("dy", "0.35em")
.text((d, i) => i);
const rule = svg.append("line")
.attr("stroke", "#000")
.attr("y1", margin.top - 6)
.attr("y2", height - margin.bottom - 1)
.attr("x1", 0.5)
.attr("x2", 0.5);
svg.on("mousemove touchmove", () => {
const x = d3.mouse(svg.node())[0] + 0.5;
rule.attr("x1", x).attr("x2", x);
});
function horizon(d) {
const {context} = this;
const {length: k} = d;
if (k < width) context.drawImage(this, k, 0, width - k, step, 0, 0, width - k, step);
context.fillStyle = "#fff";
context.fillRect(width - k, 0, k, step);
for (let i = 0; i < overlap; ++i) {
context.save();
context.translate(width - k, (i + 1) * step);
context.fillStyle = color(i);
for (let j = 0; j < k; ++j) {
context.fillRect(j, y(d[j]), 1, -y(d[j]));
}
context.restore();
}
}
div.update = data => {
canvas.data(data).each(horizon);
gX.call(xAxis);
};
return div;
}
height = data.length * (step + 1) + margin.top + margin.bottom
margin = ({top: 30, right: 10, bottom: 0, left: 10})
step = 29
color = i => d3[scheme][Math.max(3, overlap)][i + Math.max(0, 3 - overlap)]
x = d3.scaleTime()
.range([0, width])
y = d3.scaleLinear()
.rangeRound([0, -overlap * step])
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(width / 80).tickSizeOuter(0))
.call(g => g.selectAll(".tick").filter(d => x(d) < margin.left || x(d) >= width - margin.right).remove())
.call(g => g.select(".domain").remove())
data = {
const n = 20, m = 964;
const data = new Array(n);
for (let i = 0; i < n; ++i) {
const d = data[i] = new Float64Array(m);
for (let j = 0, v = 0; j < m; ++j) {
d[j] = v = walk(v);
}
}
return data;
}
update = {
const period = 250, m = data[0].length;
const tail = data.map(d => d.subarray(m - 1, m));
while (true) {
const then = new Date(Math.ceil((Date.now() + 1) / period) * period);
yield Promises.when(then, then);
for (const d of data) d.copyWithin(0, 1, m), d[m - 1] = walk(d[m - 1]);
x.domain([then - period * width, then]);
chart.update(tail);
}
}
function walk(v) {
return Math.max(0, Math.min(1, v + (Math.random() - 0.5) * 0.05));
}
d3 = require("d3@5")
One platform to build and deploy the best data apps
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