Public
Edited
Feb 3, 2023
1 star
d3_angle = (a) => (a[0] < 0) ? (Math.PI * 2 - angle(a, [0, 1])) : (angle(a, [0, 1]))
chart = {
const width = 400;
const height = 400;
const margin = {top: 30, right: 30, bottom: 30, left: 30};
const x = d3.scaleLinear()
.domain([-1, 1])
.range([margin.left, width - margin.right]);
const y = d3.scaleLinear()
.domain([-1, 1])
.range([height - margin.bottom, margin.top]);
const svg = d3.create("svg")
.attr("width", width)
.attr("height", height);
svg.append("g")
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x));
svg.append("g")
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y));
let a = [-0.4, 0.4];
let b = [1, 0];
const arcPath = svg.append("path")
.attr("transform", `translate(${x(0)}, ${y(0)})`)
.attr("fill", "transparent")
.attr("stroke", "gray");
let l1 = svg.append('line')
.attr("x1", x(0))
.attr("y1", y(0))
.attr("x2", x(a[0]))
.attr("y2", y(a[1]))
.attr("stroke", color1);
let c1 = svg.append('circle')
.attr("cx", x(a[0]))
.attr("cy", y(a[1]))
.attr("r", 4)
.attr("fill", color1);
let l2 = svg.append('line')
.attr("x1", x(0))
.attr("y1", y(0))
.attr("x2", x(b[0]))
.attr("y2", y(b[1]))
.attr("stroke", color2);
let c2 = svg.append('circle')
.attr("cx", x(b[0]))
.attr("cy", y(b[1]))
.attr("fill", color2)
.attr("r", 4);
const arc = d3.arc()
.innerRadius(0)
.outerRadius(20)
.startAngle(0)
.endAngle(angle(a, b));
const angleFormat = d3.format(".0f");
const angleText = svg.append("text")
.attr("text-anchor", "middle")
.attr("alignment-baseline", "middle")
.attr("font-size", "12px")
.attr("transform", `translate(${x(0)}, ${y(0)})`);
const render = function() {
const clockwise = angle2(b, a) > 0;
const innerAngle = angle(a, b);
const startAngle = clockwise ? d3_angle(a) : d3_angle(b);
arcPath.attr("d", (arc.startAngle(0).endAngle(innerAngle))())
.attr("transform", `translate(${x(0)}, ${y(0)}) rotate(${startAngle * 180 / Math.PI})`);
let bis = normalize(bisect(a, b));
angleText
.text(angleFormat((innerAngle) * 180 / Math.PI) + "°")
.attr("transform", `translate(${x(bis[0] / 6)}, ${y(bis[1] / 6)})`);
}
const drag1 = d3.drag()
.on("drag", (event, d) => {
a = [x.invert(event.x), y.invert(event.y)];
a = normalize_vecs.length > 0 ? normalize(a) : a;
c1.attr("cx", x(a[0])).attr("cy", y(a[1]));
l1.attr("x2", x(a[0])).attr("y2", y(a[1]));
mutable vec_a = a;
render();
});
const drag2 = d3.drag()
.on("drag", (event, d) => {
b = [x.invert(event.x), y.invert(event.y)];
b = normalize_vecs.length > 0 ? normalize(b) : b;
c2.attr("cx", x(b[0])).attr("cy", y(b[1]));
l2.attr("x2", x(b[0])).attr("y2", y(b[1]));
mutable vec_b = b;
render();
});
c1.call(drag1);
c2.call(drag2);
render();
yield { svg: svg.node() };
}
color1 = "#8e44ad"
color2 = "#c0392b"
mutable vec_a = [0, 1]
mutable vec_b = [1, 0]
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.