I am working on a D3 chart, but can't get the node labeling right (I would like to put the "size" on a second line, and change all the text to white. For instance, the "Toyota" node would say "Toyota Motor" and on a new line just below, "61.84").
Here is my starting point. I tried to add a pre block with the CSV data so it could run on JSfiddle, but I got stuck.
I know I need to change this code in order to get the data from the pre block instead of the external CSV:
d3.text("./car_companies.csv", function(error, text) {
After that, I need to add a new "node append", something like this:
node.append("revenue")
.style("text-anchor", "middle")
.attr("dy", "1.5em")
.text(function(d) { return d.revenue.substring(0, d.radius / 3); });
http://jsfiddle.net/nick2ny/pqo1x670/4/
Thank you for any ideas.
Not directly related to the question, but to use the <pre> element to hold your data, you have to use:
var text = d3.select("pre").text();
Instead of d3.text().
Back to the question:
For printing those values, you just need:
node.append("text")
.attr("dy", "1.3em")
.style("text-anchor", "middle")
.style("fill", "white")
.text(function(d) {
return d.size;
});
Adjusting dy the way you want. However, there is an additional problem: you're not populating size in the data array. Therefore, add this in the create_nodes function:
size: data[node_counter].size,
Here is the code with those changes:
<!DOCTYPE html>
<meta charset="utf-8">
<style type="text/css">
text {
font: 10px sans-serif;
}
pre {
display: none;
}
circle {
stroke: #565352;
stroke-width: 1;
}
</style>
<body>
<pre id="data">
Toyota Motor,61.84,Asia,239
Volkswagen,44.54,Europe,124
Daimler,40.79,Europe,104
BMW,35.78,Europe,80
Ford Motor,31.75,America,63
General Motors,30.98,America,60
</pre>
<script src="https://d3js.org/d3.v3.min.js"></script>
<script>
Array.prototype.contains = function(v) {
for (var i = 0; i < this.length; i++) {
if (this[i] === v) return true;
}
return false;
};
var width = 500,
height = 500,
padding = 1.5, // separation between same-color nodes
clusterPadding = 6, // separation between different-color nodes
maxRadius = 12;
var color = d3.scale.ordinal()
.range(["#0033cc", "#33cc66", "#990033"]);
var text = d3.select("pre").text();
var colNames = "text,size,group,revenue\n" + text;
var data = d3.csv.parse(colNames);
data.forEach(function(d) {
d.size = +d.size;
});
//unique cluster/group id's
var cs = [];
data.forEach(function(d) {
if (!cs.contains(d.group)) {
cs.push(d.group);
}
});
var n = data.length, // total number of nodes
m = cs.length; // number of distinct clusters
//create clusters and nodes
var clusters = new Array(m);
var nodes = [];
for (var i = 0; i < n; i++) {
nodes.push(create_nodes(data, i));
}
var force = d3.layout.force()
.nodes(nodes)
.size([width, height])
.gravity(.02)
.charge(0)
.on("tick", tick)
.start();
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var node = svg.selectAll("circle")
.data(nodes)
.enter().append("g").call(force.drag);
node.append("circle")
.style("fill", function(d) {
return color(d.cluster);
})
.attr("r", function(d) {
return d.radius
})
node.append("text")
.attr("dy", ".3em")
.style("text-anchor", "middle")
.style("fill", "white")
.text(function(d) {
return d.text;
});
node.append("text")
.attr("dy", "1.3em")
.style("text-anchor", "middle")
.style("fill", "white")
.text(function(d) {
return d.size;
});
function create_nodes(data, node_counter) {
var i = cs.indexOf(data[node_counter].group),
r = Math.sqrt((i + 1) / m * -Math.log(Math.random())) * maxRadius,
d = {
cluster: i,
radius: data[node_counter].size * 1.5,
text: data[node_counter].text,
size: data[node_counter].size,
revenue: data[node_counter].revenue,
x: Math.cos(i / m * 2 * Math.PI) * 200 + width / 2 + Math.random(),
y: Math.sin(i / m * 2 * Math.PI) * 200 + height / 2 + Math.random()
};
if (!clusters[i] || (r > clusters[i].radius)) clusters[i] = d;
return d;
};
function tick(e) {
node.each(cluster(10 * e.alpha * e.alpha))
.each(collide(.5))
.attr("transform", function(d) {
var k = "translate(" + d.x + "," + d.y + ")";
return k;
})
}
// Move d to be adjacent to the cluster node.
function cluster(alpha) {
return function(d) {
var cluster = clusters[d.cluster];
if (cluster === d) return;
var x = d.x - cluster.x,
y = d.y - cluster.y,
l = Math.sqrt(x * x + y * y),
r = d.radius + cluster.radius;
if (l != r) {
l = (l - r) / l * alpha;
d.x -= x *= l;
d.y -= y *= l;
cluster.x += x;
cluster.y += y;
}
};
}
// Resolves collisions between d and all other circles.
function collide(alpha) {
var quadtree = d3.geom.quadtree(nodes);
return function(d) {
var r = d.radius + maxRadius + Math.max(padding, clusterPadding),
nx1 = d.x - r,
nx2 = d.x + r,
ny1 = d.y - r,
ny2 = d.y + r;
quadtree.visit(function(quad, x1, y1, x2, y2) {
if (quad.point && (quad.point !== d)) {
var x = d.x - quad.point.x,
y = d.y - quad.point.y,
l = Math.sqrt(x * x + y * y),
r = d.radius + quad.point.radius + (d.cluster === quad.point.cluster ? padding : clusterPadding);
if (l < r) {
l = (l - r) / l * alpha;
d.x -= x *= l;
d.y -= y *= l;
quad.point.x += x;
quad.point.y += y;
}
}
return x1 > nx2 || x2 < nx1 || y1 > ny2 || y2 < ny1;
});
};
}
</script>