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@woodyrew
Last active June 7, 2020 20:43
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Simple d3 v5 tooltips
license: mit
date close
1-May-12 58.13
30-Apr-12 53.98
27-Apr-12 67.00
26-Apr-12 89.70
25-Apr-12 99.00
24-Apr-12 130.28
23-Apr-12 166.70
20-Apr-12 234.98
19-Apr-12 345.44
18-Apr-12 443.34
17-Apr-12 543.70
16-Apr-12 580.13
13-Apr-12 605.23
12-Apr-12 622.77
11-Apr-12 626.20
10-Apr-12 628.44
9-Apr-12 636.23
5-Apr-12 633.68
4-Apr-12 624.31
3-Apr-12 629.32
2-Apr-12 618.63
30-Mar-12 599.55
29-Mar-12 609.86
28-Mar-12 617.62
27-Mar-12 614.48
26-Mar-12 606.98
<!DOCTYPE html>
<meta charset="utf-8">
<style> /* set the CSS */
body { font: 12px Arial;}
path {
stroke: steelblue;
stroke-width: 2;
fill: none;
}
.axis path,
.axis line {
fill: none;
stroke: grey;
stroke-width: 1;
shape-rendering: crispEdges;
}
div.tooltip {
color: white;
position: absolute;
text-align: center;
width: 60px;
height: 28px;
padding: 2px;
font: 12px sans-serif;
background: rgba(0,0,0,.8);
border: 2px solid black;
pointer-events: none;
}
</style>
<body>
<!-- load the d3.js library -->
<script src="http://d3js.org/d3.v5.min.js"></script>
<script>
// Set the dimensions of the canvas / graph
const margin = {
top: 30,
right: 20,
bottom: 30,
left: 50
};
const width = 600 - margin.left - margin.right;
const height = 270 - margin.top - margin.bottom;
// Parse the date / time
const parseDate = d3.timeParse('%d-%b-%y');
const formatTime = d3.timeFormat('%e %B');
// Set the ranges
const x = d3.scaleTime().range([0, width]);
const y = d3.scaleLinear().range([height, 0]);
// Define the axes
const xAxis = d3.axisBottom(x).ticks(5);
const yAxis = d3.axisLeft(y)
.ticks(5);
// Define the line
const valueline = d3.line()
.x(d => x(d.date))
.y(d => y(d.close));
// Define the div for the tooltip
const div = d3
.select('body')
.append('div')
.attr('class', 'tooltip')
.style('opacity', 0);
// Adds the svg canvas
const svg = d3
.select('body')
.append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.append('g')
.attr('transform', 'translate(' + margin.left + ',' + margin.top + ')');
// Get the data
d3.csv('data.csv').then(data => {
data.forEach(d => {
d.date = parseDate(d.date);
d.close = +d.close;
});
// Scale the range of the data
x.domain(d3.extent(data, d => d.date));
y.domain([0, d3.max(data, d => d.close)]);
// Add the valueline path.
svg
.append('path')
.attr('class', 'line')
.attr('d', valueline(data));
// Add the scatterplot
svg
.selectAll('dot')
.data(data)
.enter()
.append('circle')
.attr('r', 5)
.attr('cx', d => x(d.date))
.attr('cy', d => y(d.close))
.attr('stroke-width', '20px')
.attr('stroke', 'rgba(0,0,0,0)')
.style('cursor', 'pointer')
.on('mouseover', d => {
div
.transition()
.duration(200)
.style('opacity', 0.9);
div
.html(formatTime(d.date) + '<br/>' + d.close)
.style('left', d3.event.pageX + 'px')
.style('top', d3.event.pageY - 28 + 'px');
})
.on('mouseout', () => {
div
.transition()
.duration(500)
.style('opacity', 0);
});
// Add the X Axis
svg
.append('g')
.attr('class', 'x axis')
.attr('transform', 'translate(0,' + height + ')')
.call(xAxis);
// Add the Y Axis
svg
.append('g')
.attr('class', 'y axis')
.call(yAxis);
});
</script>
</body>
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