Published
Edited
Apr 14, 2020
3 forks
4 stars
md`
# Animated Line Graph
Animation https://bl.ocks.org/mbostock/5649592
Google stock price. Data: Yahoo Finance
`
viewof dataSelector = radio( {
title: 'Select the data to be plotted',
options: [
{ label: 'Initial', value: 'data' },
{ label: 'Alternate', value: 'data1' },
],
value: 'data'
} );
dataSelector
bool_func= { var v
if(dataSelector == 'data')
{return data}
else{} return data1 }
chart = {
const svg = d3.select(DOM.svg(width, height))
.style("-webkit-tap-highlight-color", "transparent")
.style("overflow", "visible");
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("path")
.datum(data)
.attr("fill", "none")
.attr("stroke", "steelblue")
.attr("stroke-width", 1.5)
.attr("stroke-linejoin", "round")
.attr("stroke-linecap", "round")
.attr("d", line).call(transition);
const tooltip = svg.append("g");
svg.on("touchmove mousemove", function() {
const {date, value} = bisect(d3.mouse(this)[0]);
tooltip
.attr("transform", `translate(${x(date)},${y(value)})`)
.call(callout, `${value.toLocaleString(undefined, {style: "currency", currency: "USD"})}
${date.toLocaleString(undefined, {month: "short", day: "numeric", year: "numeric"})}`);
});
svg.on("touchend mouseleave", () => tooltip.call(callout, null));
return svg.node();
}
height = 500
margin = ({top:20, right:30, bottom:30, left:40})
x = d3.scaleTime()
.domain(d3.extent(bool_func, d => d.date))
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain([0, d3.max(bool_func, d=> d.value)]).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).ticks(width / 200).tickSizeOuter(0))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
.call(g => g.select(".domain").remove())
.call(g => g.select(".tick:last-of-type text").clone()
.attr("x", 3)
.attr("text-anchor", "start")
.attr("font-weight", "bold")
.text(data.y))
function transition(path) {
path.transition()
.duration(7500)
.attrTween("stroke-dasharray", tweenDash)
.on("end", () => { d3.select(this).call(transition); });
}
function tweenDash() {
const l = this.getTotalLength(),
i = d3.interpolateString("0," + l, l + "," + l);
return function(t) { return i(t) };
}
callout = (g, value) => {
if (!value) return g.style("display", "none");
g
.style("display", null)
.style("pointer-events", "none")
.style("font", "10px sans-serif");
const path = g.selectAll("path")
.data([null])
.join("path")
.attr("fill", "white")
.attr("stroke", "black");
const text = g.selectAll("text")
.data([null])
.join("text")
.call(text => text
.selectAll("tspan")
.data((value + "").split(/\n/))
.join("tspan")
.attr("x", 0)
.attr("y", (d, i) => `${i * 1.1}em`)
.style("font-weight", (_, i) => i ? null : "bold")
.text(d => d));
const {x, y, width: w, height: h} = text.node().getBBox();
text.attr("transform", `translate(${-w / 2},${15 - y})`);
path.attr("d", `M${-w / 2 - 10},5H-5l5,-5l5,5H${w / 2 + 10}v${h + 20}h-${w + 20}z`);
}
bisect = {
const bisect = d3.bisector(d => d.date).left;
return mx => {
const date = x.invert(mx);
const index = bisect(data, date, 1);
const a = data[index - 1];
const b = data[index];
return date - a.date > b.date - date ? b : a;
};
}
line = d3.line()
.defined(d => !isNaN(d.value))
.x(d => x(d.date))
.y(d => y(d.value))
Type JavaScript, then Shift-Enter. Ctrl-space for more options. Arrow ↑/↓ to switch modes.
function updateData () {
var data = dataSelector === 'data1' ? data: data1;
y.domain( d3.extent( dataSelector, datapoint => datapoint.value ) )
x.domain( d3.extent( dataSelector, datapoint => datapoint.date ) )
var path = d3.select( '.chart__line' )
.transition()
.duration( 500 )
.attr( 'd', line( data ) );
}
data = Object.assign((d3.csvParse(await FileAttachment("GOOG - GOOG.csv").text(), d3.autoType)).map(({date, close}) => ({date, value: close})), {y: "$ Close"})
data1=Object.assign((d3.csvParse(await FileAttachment("NQ=F - NQ=F (1).csv").text(), d3.autoType)).map(({date, close}) => ({date, value: close})), {y: "$ Close"})
d3 = require('d3@5')
import { radio } from '@jashkenas/inputs';
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.