This is a derivative of the simple d3.js graph used as an example in the book D3 Tips and Tricks. The stock data was sourced from Mike Bostock's small multiples example.
It is the fourth graph in a series that is building a multi-line graph that incorperates an automatically developed legend and a system that can toggle the lines off and on as desired.
This version is demonstrating the ability to toggle the lines off and on by clicking on the appropriate legend text.
The graph should be taken in context with the text of the book which can be downloaded for free from Leanpub.
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<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;
}
.legend {
font-size: 16px;
font-weight: bold;
text-anchor: middle;
}
</style>
<body>
<!-- load the d3.js library -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
<script>
// Set the dimensions of the canvas / graph
var margin = {top: 30, right: 20, bottom: 70, left: 50},
width = 600 - margin.left - margin.right,
height = 300 - margin.top - margin.bottom;
// Parse the date / time
var parseDate = d3.time.format("%b %Y").parse;
// Set the ranges
var x = d3.time.scale().range([0, width]);
var y = d3.scale.linear().range([height, 0]);
// Define the axes
var xAxis = d3.svg.axis().scale(x)
.orient("bottom").ticks(5);
var yAxis = d3.svg.axis().scale(y)
.orient("left").ticks(5);
// Define the line
var priceline = d3.svg.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.price); });
// Adds the svg canvas
var 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("stocks.csv", function(error, data) {
data.forEach(function(d) {
d.date = parseDate(d.date);
d.price = +d.price;
});
// Scale the range of the data
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.price; })]);
// Nest the entries by symbol
var dataNest = d3.nest()
.key(function(d) {return d.symbol;})
.entries(data);
var color = d3.scale.category10(); // set the colour scale
legendSpace = width/dataNest.length; // spacing for the legend
// Loop through each symbol / key
dataNest.forEach(function(d,i) {
svg.append("path")
.attr("class", "line")
.style("stroke", function() { // Add the colours dynamically
return d.color = color(d.key); })
.attr("id", 'tag'+d.key.replace(/\s+/g, '')) // assign ID
.attr("d", priceline(d.values));
// Add the Legend
svg.append("text")
.attr("x", (legendSpace/2)+i*legendSpace) // space legend
.attr("y", height + (margin.bottom/2)+ 5)
.attr("class", "legend") // style the legend
.style("fill", function() { // Add the colours dynamically
return d.color = color(d.key); })
.on("click", function(){
// Determine if current line is visible
var active = d.active ? false : true,
newOpacity = active ? 0 : 1;
// Hide or show the elements based on the ID
d3.select("#tag"+d.key.replace(/\s+/g, ''))
.transition().duration(100)
.style("opacity", newOpacity);
// Update whether or not the elements are active
d.active = active;
})
.text(d.key);
});
// 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>
https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js