chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
const rect = svg.selectAll("g")
.data(y01z)
.join("g")
.selectAll("rect")
.data(d => d)
.join("rect")
.attr("fill", (d, i) => z(d, i))
.attr("stroke", "grey")
.attr("x", (d, i) => x(i))
.attr("y", height - margin.bottom)
.attr("width", x.bandwidth())
.attr("height", 0);
svg.append("g")
.call(xAxis);
function transitionStacked() {
y.domain([0, y1Max]);
rect.transition()
.duration(500)
.delay((d, i) => i * 20)
.attr("y", d => y(d[1]))
.attr("height", d => y(d[0]) - y(d[1]))
.transition()
.attr("x", (d, i) => x(i))
.attr("width", x.bandwidth());
}
function update() {
transitionStacked();
}
return Object.assign(svg.node(), {update});
}
update = chart.update()
xz = d3.range(m) // the x-values shared by all series
yz = sortBumps() // the y-values of each of the n series
function sortBumps() {
let sortedArr = Array.from(Array(n), () => new Array(m))
let arr = d3.range(n).map(() => {
return bumps(m)
})
console.log(arr)
for (let i = 0; i < m; i++) {
arr.sort((a,b) => {
return b[i]-a[i]
});
for (let ii = 0; ii < n; ii++) {
sortedArr[ii][i] = arr[ii][i]
}
}
return sortedArr
}
y01z = d3.stack()
.keys(d3.range(n))
(d3.transpose(yz)) // stacked yz
.map((data, i) => {
//console.log(data)
return data.map(([y0, y1]) => [y0, y1, i]
)
})
yMax = d3.max(yz, y => d3.max(y))
y1Max = d3.max(y01z, y => d3.max(y, d => d[1]))
x = d3.scaleBand()
.domain(xz)
.rangeRound([margin.left, width - margin.right])
.padding(0.00)
y = d3.scaleLinear()
.domain([0, y1Max])
.range([height - margin.bottom, margin.top])
colorsArr = [d3.interpolateReds, d3.interpolateBlues, d3.interpolateGreens, d3.interpolateOranges]
z = (d, i) => {
return colorsArr[i](0.9 - d[2]/m)
}
xAxis = svg => svg.append("g")
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0).tickFormat(() => ""))
trueN = n
n = 4 // number of series
m = 4 // number of values per series
height = 500
margin = ({top: 0, right: 0, bottom: 10, left: 0})
// Returns an array of m psuedorandom, smoothly-varying non-negative numbers.
// Inspired by Lee Byron’s test data generator.
// http://leebyron.com/streamgraph/
function bumps(m) {
const values = [];
// Initialize with uniform random values in [0.1, 0.2).
for (let i = 0; i < m; ++i) {
values[i] = 0.1 + 0.1 * Math.random();
}
// Add five random bumps.
for (let j = 0; j < 5; ++j) {
const x = 1 / (0.1 + Math.random());
const y = 2 * Math.random() - 0.5;
const z = 10 / (0.1 + Math.random());
for (let i = 0; i < m; i++) {
const w = (i / m - y) * z;
values[i] += x * Math.exp(-w * w);
}
}
// Ensure all values are positive.
for (let i = 0; i < m; ++i) {
values[i] = Math.max(0, values[i]);
}
return values;
}
d3 = require("d3@6")
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