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xinau/canvas.html

Last active March 22, 2020 11:06
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d3.js horizon chart standalone
Raw
canvas.html
<!doctype html>
<head>
<meta charset="utf-8">
</head>
<body>
<div id="graph"></div>
<script src="https://d3js.org/d3.v5.min.js"></script>
<script>
(async () => {
overlap = 5
step = 24
mirror = false
color = i => d3["schemeRdBu"][overlap * 2 + 1][i + (i >= 0) + overlap]
data = [
{k: "AAPL", v: (await fetch("AAPL.csv").then(r => r.text()))},
{k: "GOOG", v: (await fetch("GOOG.csv").then(r => r.text()))},
{k: "IBM", v: (await fetch("IBM.csv").then(r => r.text()))},
{k: "MSFT", v: (await fetch("MSFT.csv").then(r => r.text()))}
].map(csv => {
const values = d3.csvParse(csv.v, d => ({
date: d3.utcParse("%Y-%m-%d")(d["Date"]),
value: +d["Close"]
}));
const v = values[0].value;
return {
key: csv.k,
values: values.map(({date, value}) => ({date, value: Math.log(value / v)}))
};
})
margin = ({top: 30, right: 10, bottom: 0, left: 10})
width = 600
height = data.length * (step + 1) + margin.top + margin.bottom
x = d3.scaleUtc()
.domain([data[0].values[0].date, data[0].values[data[0].values.length - 1].date])
.range([0, width])
ymax = d3.max(data, d => d3.max(d.values, d => Math.abs(d.value)));
y = d3.scaleLinear()
.domain([-ymax, +ymax])
.range([overlap * step, -overlap * step]);
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(width / 80).tickSizeOuter(0))
.call(g => g.selectAll(".tick").filter(d => x(d) < margin.left || x(d) >= width - margin.right).remove())
.call(g => g.select(".domain").remove())
area = d3.area()
.curve(d3.curveLinear)
.defined(d => !isNaN(d.value))
.x(d => x(d.date))
.y0(0)
function horizon(d) {
const {context} = this;
area.y1(d => y(d.value)).context(context);
for (let i = 0; i < overlap; ++i) {
context.save();
context.translate(0, (i + 1) * step);
context.beginPath();
area(d.values);
context.fillStyle = color(i);
context.fill();
context.restore();
}
area.y1(d => y(-d.value)).context(context);
for (let i = 0; i < overlap; ++i) {
context.save();
if (mirror) {
context.translate(0, (i + 1) * step);
} else {
context.scale(1, -1)
context.translate(0, i * step);
}
context.beginPath();
area(d.values);
context.fillStyle = color(-i -1);
context.fill();
context.restore();
}
}
var dpr = window.devicePixelRatio || 1;
const graph = d3.select("#graph")
const canvas = graph.selectAll("canvas")
.data(data)
.join("canvas")
.attr("width", width * dpr)
.attr("height", step * dpr)
.style("position", "absolute")
.style("top", (d, i) => `${i * (step + 1) + margin.top}px`)
.style("width", width + "px")
.property("context", function() {
var ctx = this.getContext("2d");
ctx.scale(dpr, dpr);
return ctx;
})
.each(horizon);
const svg = graph.append("svg")
.attr("width", width)
.attr("height", height)
.style("position", "relative")
.style("font", "10px sans-serif");
svg.append("g")
.call(xAxis);
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 => d.key);
})()
</script>
</body>
Raw
svg.html
<!doctype html>
<head>
<meta charset="utf-8">
</head>
<body>
<div id="graph"></div>
<script src="https://d3js.org/d3.v5.min.js"></script>
<script>
(async () => {
overlap = 5
step = 24
mirror = false
color = i => d3["schemeRdBu"][overlap * 2 + 1][i + (i >= 0) + overlap]
data = [
{k: "AAPL", v: (await fetch("AAPL.csv").then(r => r.text()))},
{k: "GOOG", v: (await fetch("GOOG.csv").then(r => r.text()))},
{k: "IBM", v: (await fetch("IBM.csv").then(r => r.text()))},
{k: "MSFT", v: (await fetch("MSFT.csv").then(r => r.text()))}
].map(csv => {
const values = d3.csvParse(csv.v, d => ({
date: d3.utcParse("%Y-%m-%d")(d["Date"]),
value: +d["Close"]
}));
const v = values[0].value;
return {
key: csv.k,
values: values.map(({date, value}) => ({date, value: Math.log(value / v)}))
};
})
margin = ({top: 30, right: 10, bottom: 0, left: 10})
width = 600
height = data.length * (step + 1) + margin.top + margin.bottom
x = d3.scaleUtc()
.domain([data[0].values[0].date, data[0].values[data[0].values.length - 1].date])
.range([0, width])
ymax = d3.max(data, d => d3.max(d.values, d => Math.abs(d.value)));
y = d3.scaleLinear()
.domain([-ymax, +ymax])
.range([overlap * step, -overlap * step]);
xAxis = g => g
.attr("transform", `translate(0,${margin.top})`)
.call(d3.axisTop(x).ticks(width / 80).tickSizeOuter(0))
.call(g => g.selectAll(".tick").filter(d => x(d) < margin.left || x(d) >= width - margin.right).remove())
.call(g => g.select(".domain").remove())
area = d3.area()
.curve(d3.curveLinear)
.defined(d => !isNaN(d.value))
.x(d => x(d.date))
.y0(0)
.y1(d => y(d.value))
function DomUID(id) {
this.id = id;
this.href = new URL(`#${id}`, location) + "";
return this
}
DomUID.count = 0;
DomUID.uid = function(name) {
return new DomUID("O-" + (name == null ? "" : name + "-") + ++this.count)
};
DomUID.prototype.toString = function() {
return "url(" + this.href + ")";
};
const svg = d3.select("#graph")
.append("svg")
.attr("width", width)
.attr("height", height)
.style("font", "10px sans-serif");
const g = svg.append("g")
.selectAll("g")
.data(data, d => {
console.log(d)
return d
})
.join("g")
.attr("transform", (d, i) => `translate(0,${i * (step + 1) + margin.top})`);
g.append("clipPath")
.attr("id", (d, i) => (d.clip = DomUID.uid("clip")).id)
.append("rect")
.attr("width", width)
.attr("height", step);
g.append("defs")
.append("path")
.attr("id", (d, i) => (d.path = DomUID.uid("path")).id)
.attr("d", d => area(d.values));
g.append("g")
.attr("clip-path", d => d.clip)
.selectAll("use")
.data(d => Array.from(
{length: overlap * 2},
(_, i) => Object.assign({index: i < overlap ? -i - 1 : i - overlap}, d)
))
.join("use")
.attr("fill", d => color(d.index))
.attr("transform", d => mirror && d.index < 0
? `scale(1,-1) translate(0,${d.index * step})`
: `translate(0,${(d.index + 1) * step})`)
.attr("xlink:href", d => d.path.href);
g.append("text")
.attr("x", 4)
.attr("y", step / 2)
.attr("dy", "0.35em")
.text(d => d.key);
svg.append("g")
.call(xAxis);
})()
</script>
</body>
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