Public
Edited
Aug 1, 2023
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Contours
value = (x, y) =>
(1 + (x + y + 1) ** 2 * (19 - 14 * x + 3 * x ** 2 - 14 * y + 6 * x * y + 3 * y ** 2))
* (30 + (2 * x - 3 * y) ** 2 * (18 - 32 * x + 12 * x * x + 48 * y - 36 * x * y + 27 * y ** 2))
chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width + 28, height])
.style("display", "block")
.style("margin", "0 -14px")
.style("width", "calc(100% + 28px)");
svg.append("g")
.attr("fill", "none")
.attr("stroke", "#fff")
.attr("stroke-opacity", 0.5)
.selectAll("path")
.data(contours)
.join("path")
.attr("fill", d => color(d.value))
.attr("d", d3.geoPath());
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
color = d3.scaleSequentialLog(d3.extent(thresholds), d3.interpolateMagma)
thresholds = d3.range(1, 20).map(i => Math.pow(2, i))
grid = {
const q = 4; // The level of detail, e.g., sample every 4 pixels in x and y.
const x0 = -q / 2, x1 = width + 28 + q;
const y0 = -q / 2, y1 = height + q;
const n = Math.ceil((x1 - x0) / q);
const m = Math.ceil((y1 - y0) / q);
const grid = new Array(n * m);
for (let j = 0; j < m; ++j) {
for (let i = 0; i < n; ++i) {
grid[j * n + i] = value(x.invert(i * q + x0), y.invert(j * q + y0));
}
}
grid.x = -q;
grid.y = -q;
grid.k = q;
grid.n = n;
grid.m = m;
return grid;
}
// Converts from grid coordinates (indexes) to screen coordinates (pixels).
transform = ({type, value, coordinates}) => {
return {type, value, coordinates: coordinates.map(rings => {
return rings.map(points => {
return points.map(([x, y]) => ([
grid.x + grid.k * x,
grid.y + grid.k * y
]));
});
})};
}
contours = d3.contours()
.size([grid.n, grid.m])
.thresholds(thresholds)
(grid)
.map(transform)
x = d3.scaleLinear([-2, 2], [0, width + 28])
y = d3.scaleLinear([-2, 1], [height, 0])
xAxis = g => g
.attr("transform", `translate(0,${height})`)
.call(d3.axisTop(x).ticks(width / height * 10))
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick").filter(d => x.domain().includes(d)).remove())
yAxis = g => g
.attr("transform", "translate(-1,0)")
.call(d3.axisRight(y))
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick").filter(d => y.domain().includes(d)).remove())
height = 600
import {Legend} from "@d3/color-legend"
Plot.plot({
color: {scheme: "Magma", type: "log", legend: true, width: 300, label: "Value", tickFormat: ","},
marks: [
Plot.contour({
x1: -2,
x2: 2,
y1: -2,
y2: 1,
fill: value,
stroke: "#fff",
strokeOpacity: 0.5,
thresholds: d3.range(1, 20).map(n => 2 ** n)
})
]
})
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.
