Jupyter Snippet CB2nd 04_d3

Jupyter Snippet CB2nd 04_d3

6.4. Visualizing a NetworkX graph in the Notebook with D3.js

import json
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
%matplotlib inline
g = nx.karate_club_graph()
fig, ax = plt.subplots(1, 1, figsize=(8, 6));
nx.draw_networkx(g, ax=ax)

png

nodes = [{'name': str(i), 'club': g.node[i]['club']}
         for i in g.nodes()]
links = [{'source': u[0], 'target': u[1]}
         for u in g.edges()]
with open('graph.json', 'w') as f:
    json.dump({'nodes': nodes, 'links': links},
              f, indent=4,)
%%html
<div id="d3-example"></div>
<style>
.node {stroke: #fff; stroke-width: 1.5px;}
.link {stroke: #999; stroke-opacity: .6;}
</style>
%%javascript
// We load the d3.js library from the Web.
require.config({paths:
    {d3: "http://d3js.org/d3.v3.min"}});
require(["d3"], function(d3) {
  // The code in this block is executed when the
  // d3.js library has been loaded.

  // First, we specify the size of the canvas
  // containing the visualization (size of the
  // <div> element).
  var width = 300, height = 300;

  // We create a color scale.
  var color = d3.scale.category10();

  // We create a force-directed dynamic graph layout.
  var force = d3.layout.force()
    .charge(-120)
    .linkDistance(30)
    .size([width, height]);

  // In the <div> element, we create a <svg> graphic
  // that will contain our interactive visualization.
  var svg = d3.select("#d3-example").select("svg")
  if (svg.empty()) {
    svg = d3.select("#d3-example").append("svg")
          .attr("width", width)
          .attr("height", height);
  }

  // We load the JSON file.
  d3.json("graph.json", function(error, graph) {
    // In this block, the file has been loaded
    // and the 'graph' object contains our graph.

    // We load the nodes and links in the
    // force-directed graph.
    force.nodes(graph.nodes)
      .links(graph.links)
      .start();

    // We create a <line> SVG element for each link
    // in the graph.
    var link = svg.selectAll(".link")
      .data(graph.links)
      .enter().append("line")
      .attr("class", "link");

    // We create a <circle> SVG element for each node
    // in the graph, and we specify a few attributes.
    var node = svg.selectAll(".node")
      .data(graph.nodes)
      .enter().append("circle")
      .attr("class", "node")
      .attr("r", 5)  // radius
      .style("fill", function(d) {
         // The node color depends on the club.
         return color(d.club);
      })
      .call(force.drag);

    // The name of each node is the node number.
    node.append("title")
        .text(function(d) { return d.name; });

    // We bind the positions of the SVG elements
    // to the positions of the dynamic force-directed
    // graph, at each time step.
    force.on("tick", function() {
      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});

      node.attr("cx", function(d){return d.x})
          .attr("cy", function(d){return d.y});
    });
  });
});