focus = {
const spec = {
width,
height: 360,
marks: [
Plot.areaY(aapl, {
x: "Date",
y: "Close",
fill: "steelblue",
clip: true
})
],
x: { type: "utc" }
};
let chart = Plot.plot(spec);
const wrapper = svg`<svg viewBox="${chart.getAttribute("viewBox")}">${chart}`;
const x = chart.scale("x");
const y = chart.scale("y");
let domain = x.domain;
const redraw = () =>
chart.replaceWith(
(chart = Plot.plot({ ...spec, x: { type: "utc", domain }, y }))
);
const X0 = d3.scaleUtc(x.domain, x.range);
const E = [[x.range[0], 0], [x.range[1], 0]];
const zoom = d3
.zoom()
.scaleExtent([1, 100])
.extent(E)
.translateExtent(E) // same as extent, as the default view is zoom {k:1, x:0}
.on("zoom end", (event) => {
const { transform, sourceEvent } = event;
domain = transform.rescaleX(X0).domain();
redraw();
// broadcast changes if they are originated here
if (sourceEvent) dispatch.call("timeWindow", wrapper, domain);
});
d3.select(wrapper).call(zoom);
dispatch.on("timeWindow.details", function (value) {
if (this === wrapper) return; // ignore our own message
domain = (value == null ? x.domain : value).slice();
d3.select(wrapper).call(
zoom.transform,
d3.zoomIdentity
.translate(x.range[0], 0)
.scale(
Math.min(100, (x.domain[1] - x.domain[0]) / (domain[1] - domain[0]))
)
.translate(-X0(domain[0]), 0)
);
});
return wrapper;
}
context = {
const chart = Plot.plot({
width,
height: 90,
marks: [Plot.areaY(aapl, { x: "Date", y: "Close", fill: "steelblue" })],
y: { ticks: 0, label: null }
});
const x = chart.scale("x"),
[x1, x2] = x.range;
const y = chart.scale("y"),
[y1, y2] = y.range;
let domain = x.domain;
const wrapper = svg`<svg viewBox="${chart.getAttribute("viewBox")}">${chart}`;
const brush = d3
.brushX()
.extent([
[x1, y2],
[x2, y1]
])
.on("brush end", (event) => {
const { selection, sourceEvent } = event;
domain = selection && selection.map(x.invert);
// broadcast changes if they are originated here
if (sourceEvent) dispatch.call("timeWindow", wrapper, domain);
});
d3.select(wrapper).call(brush);
dispatch.on("timeWindow.focus", function (value) {
if (this === wrapper) return; // ignore our own message
if (value == null) return;
domain = value;
const b = domain.map(x.apply);
if (b[0] === x1 && b[1] === x2) {
d3.select(wrapper).call(brush.clear);
} else {
d3.select(wrapper).call(brush.move, domain.map(x.apply));
}
});
return wrapper;
}
{
// initialize
function reset() {
dispatch.call("timeWindow", "reset", [
d3.isoParse("2017"),
d3.isoParse("2018")
]);
}
reset();
// reset on click
return Inputs.button("reset", { reduce: reset });
}
dispatch = d3.dispatch("timeWindow")
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.