I've recently created my first force directed graph using v3 library, but now I'm required to create the same graph using D3 version 4 library, but the methods have changed tremendously in v4, and now I'm getting error at all force()/drag() methods of 3 that do not exist now in v4.
My graph is based on following mockup - <a href="http://www.ourd3js.com/wordpress/?p=606" rel="nofollow">http://www.ourd3js.com/wordpress/?p=606</a>
Is there a repository of samples that have been created in v4 library of d3 someplace where I can take a look and learn few functions that I can replace with for this particular chart?
<strong>EDIT:</strong>
My current code looks like this, but I'm not able to convert it completely, for example, the node links are very close sometimes that text of links and nodes is overlapping.
<strong><em>Javascript Code</em></strong>:
<strong><em>The JSON Data String</em>:</strong>
My graph is based on following mockup - <a href="http://www.ourd3js.com/wordpress/?p=606" rel="nofollow">http://www.ourd3js.com/wordpress/?p=606</a>
Is there a repository of samples that have been created in v4 library of d3 someplace where I can take a look and learn few functions that I can replace with for this particular chart?
<strong>EDIT:</strong>
My current code looks like this, but I'm not able to convert it completely, for example, the node links are very close sometimes that text of links and nodes is overlapping.
Code:
<svg width="960" height="600"></svg><strong><em>Javascript Code</em></strong>:
Code:
var svg = d3.select("svg"),
width = +svg.attr("width"),
height = +svg.attr("height");
var graph = root;
var w = window,
d = document,
e = d.documentElement,
g = d.getElementsByTagName('body')[0],
x = w.innerWidth || e.clientWidth || g.clientWidth,
y = w.innerHeight|| e.clientHeight|| g.clientHeight;
var width = x;
var height = y;
var img_w = 24;
var img_h = 24;
var k = Math.sqrt(root.nodes.length / (width * height));
var simulation = d3.forceSimulation()
.force("link", d3.forceLink().id(function(d) { return d.id; }))
.force("charge", d3.forceManyBody().strength(-5 / k))
.force("center", d3.forceCenter(width / 2, height / 2));
var link = svg.append("g")
.attr("class", "links")
.selectAll("line")
.data(graph.links)
.enter().append("line");
var node = svg.append("g")
.attr("class", "nodes")
.selectAll("circle")
.data(graph.nodes)
.enter().append("image")
.attr("width",img_w)
.attr("height",img_h)
.attr("xlink:href",function(d){
return d.image;
})
.call(d3.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended));
var links_text = svg.selectAll(".linetext")
.data(graph.links)
.enter()
.append("text")
.attr("class","linetext slds-text-heading--small")
.attr("text-anchor", "middle")
.text(function(d){
return '['+d.relation+']';
});
var nodes_text = svg.selectAll(".nodetext")
.data(graph.nodes)
.enter()
.append("text")
.attr("class","nodetext slds-text-heading--label")
.attr("text-anchor", "middle")
.attr("dx",-20)
.attr("dy",20)
.text(function(d){
return (d.subname!=''?(d.subname+': '):'')+d.name;
});
simulation
.nodes(graph.nodes)
.on("tick", ticked);
simulation.force("link")
.links(graph.links);
function ticked() {
link
.attr("x1", function(d) { return d.source.x; })
.attr("y1", function(d) { return d.source.y; })
.attr("x2", function(d) { return d.target.x; })
.attr("y2", function(d) { return d.target.y; });
links_text
.attr("x",function(d){ return (d.source.x + d.target.x) / 2; })
.attr("y",function(d){ return (d.source.y + d.target.y) / 2; });
node
.attr("x", function(d) { return d.x; })
.attr("y", function(d) { return d.y; });
nodes_text
.attr("x",function(d){ return d.x + 20 })
.attr("y",function(d){ return d.y + img_w/2; });
}
function dragstarted(d) {
if (!d3.event.active) simulation.alphaTarget(0.3).restart();
d.fx = d.x;
d.fy = d.y;
}
function dragged(d) {
d.fx = d3.event.x;
d.fy = d3.event.y;
}
function dragended(d) {
if (!d3.event.active) simulation.alphaTarget(0);
d.fx = null;
d.fy = null;
}<strong><em>The JSON Data String</em>:</strong>
Code:
var root = {
"nodes" : [ {
"subname" : "",
"name" : "Telco Power Case",
"image" : "/node32.png",
"id" : 0
}, {
"subname" : "Contact",
"name" : "Suman Kumar",
"image" : "/subnode32.png.png",
"id" : 1
}, {
"subname" : "Contact",
"name" : "Karla Samuel",
"image" : "/subnode32.png.png",
"id" : 2
}, {
"subname" : "Account",
"name" : "Signa Tech",
"image" : "/subnode32.png.png",
"id" : 3
}, {
"subname" : "",
"name" : "Maven's Case",
"image" : "/node32.png",
"id" : 4
}, {
"subname" : "",
"name" : "Delta Case",
"image" : "/node32.png",
"id" : 5
}, {
"subname" : "Contact",
"name" : "T Browney",
"image" : "/subnode32.png.png",
"id" : 6
}, {
"subname" : "Account",
"name" : "Presto",
"image" : "/subnode32.png.png",
"id" : 7
}, {
"subname" : "Contact",
"name" : "Bob Tannenbaum",
"image" : "/subnode32.png.png",
"id" : 8
}, {
"subname" : "Account",
"name" : "Tesla Power",
"image" : "/subnode32.png.png",
"id" : 9
} ],
"links" : [ {
"target" : 1,
"source" : 0,
"relation" : "Trainee"
}, {
"target" : 2,
"source" : 0,
"relation" : "Manager"
}, {
"target" : 3,
"source" : 0,
"relation" : "Technology"
}, {
"target" : 1,
"source" : 0,
"relation" : "Trainee"
}, {
"target" : 2,
"source" : 0,
"relation" : "Manager"
}, {
"target" : 3,
"source" : 0,
"relation" : "Technology"
}, {
"target" : 2,
"source" : 4,
"relation" : "Expert"
}, {
"target" : 2,
"source" : 5,
"relation" : "Expert"
}, {
"target" : 1,
"source" : 5,
"relation" : "Expert"
}, {
"target" : 6,
"source" : 5,
"relation" : "Trainee"
}, {
"target" : 7,
"source" : 5,
"relation" : "Technology;New Firm"
}, {
"target" : 8,
"source" : 4,
"relation" : "Expert"
}, {
"target" : 9,
"source" : 4,
"relation" : "New Firm"
}, {
"target" : 8,
"source" : 4,
"relation" : "Expert"
}, {
"target" : 9,
"source" : 4,
"relation" : "New Firm"
}, {
"target" : 6,
"source" : 5,
"relation" : "Trainee"
}, {
"target" : 7,
"source" : 5,
"relation" : "Technology;New Firm"
} ]
};