Graph plotting in Javascript with d3.js

This module implements everything that can be used to draw graphs with d3.js in Sage.

On Python’s side, this is mainly done by wrapping a graph’s edges and vertices in a structure that can then be used in the javascript code. This javascript code is then inserted into a .html file to be opened by a browser.

What Sage feeds javascript with is a “graph” object with the following content:

  • vertices – each vertex is a dictionay defining :

    • name – The vertex’s label
    • group – the vertex’ color (integer)

The ID of a vertex is its index in the vertex list.

  • edges – each edge is a dictionary defining :

    • source – the ID (int) of the edge’s source
    • target – the ID (int) of the edge’s destination
    • color – the edge’s color (integer)
    • value – thickness of the edge
    • strength – the edge’s strength in the automatic layout
    • color – color (hexadecimal code)
    • curve – distance from the barycenter of the two endpoints and the center of the edge. It defines the curve of the edge, which can be useful for multigraphs.
  • pos – a list whose \(i\) th element is a dictionary defining the position of the \(i\) th vertex.

It also contains the definition of some numerical/boolean variables whose definition can be found in the documentation of show() : directed, charge, link_distance, link_strength, gravity, vertex_size, edge_thickness.

Warning

Since the d3js package is not standard yet, the javascript is fetched from d3js.org website by the browser. If you want to avoid that (e.g. to protect your privacy or by lack of internet connection), you can install the d3js package for offline use with the Sage command install_package('d3js') or by running sage -i d3js from the command line.

Todo

Authors:

  • Nathann Cohen, Brice Onfroy – July 2013 – Initial version of the Sage code, Javascript code, using examples from d3.js.
  • Thierry Monteil (June 2014): allow offline use of d3.js provided by d3js spkg.

Functions

sage.graphs.graph_plot_js.gen_html_code(G, vertex_labels=False, edge_labels=False, vertex_partition=[], edge_partition=[], force_spring_layout=False, charge=-120, link_distance=30, link_strength=2, gravity=0.04, vertex_size=7, edge_thickness=4)

Creates a .html file showing the graph using d3.js.

This function returns the name of the .html file. If you want to visualize the actual graph use show().

INPUT:

  • G – the graph
  • vertex_labels (boolean) – Whether to display vertex labels (set to False by default).
  • edge_labels (boolean) – Whether to display edge labels (set to False by default).
  • vertex_partition – a list of lists representing a partition of the vertex set. Vertices are then colored in the graph according to the partition. Set to [] by default.
  • edge_partition – same as vertex_partition, with edges instead. Set to [] by default.
  • force_spring_layout – whether to take sage’s position into account if there is one (see () and ()), or to compute a spring layout. Set to False by default.
  • vertex_size – The size of a vertex’ circle. Set to \(7\) by default.
  • edge_thickness – Thickness of an edge. Set to 4 by default.
  • charge – the vertices’ charge. Defines how they repulse each other. See https://github.com/mbostock/d3/wiki/Force-Layout for more information. Set to -120 by default.
  • link_distance – See https://github.com/mbostock/d3/wiki/Force-Layout for more information. Set to 30 by default.
  • link_strength – See https://github.com/mbostock/d3/wiki/Force-Layout for more information. Set to 2 by default.
  • gravity – See https://github.com/mbostock/d3/wiki/Force-Layout for more information. Set to 0.04 by default.

Warning

Since the d3js package is not standard yet, the javascript is fetched from d3js.org website by the browser. If you want to avoid that (e.g. to protect your privacy or by lack of internet connection), you can install the d3js package for offline use with the Sage command install_package('d3js') or by running sage -i d3js from the command line.

EXAMPLES:

sage: graphs.RandomTree(50).show(method="js") # optional -- internet

sage: g = graphs.PetersenGraph()
sage: g.show(method = "js", vertex_partition=g.coloring()) # optional -- internet

sage: graphs.DodecahedralGraph().show(method="js", force_spring_layout=True) # optional -- internet

sage: graphs.DodecahedralGraph().show(method="js") # optional -- internet

sage: g = digraphs.DeBruijn(2,2)
sage: g.allow_multiple_edges(True)
sage: g.add_edge("10","10","a")
sage: g.add_edge("10","10","b")
sage: g.add_edge("10","10","c")
sage: g.add_edge("10","10","d")
sage: g.add_edge("01","11","1")
sage: g.show(method="js", vertex_labels=True,edge_labels=True,
....:        link_distance=200,gravity=.05,charge=-500,
....:        edge_partition=[[("11","12","2"),("21","21","a")]],
....:        edge_thickness=4) # optional -- internet

TESTS:

sage: from sage.graphs.graph_plot_js import gen_html_code
sage: filename = gen_html_code(graphs.PetersenGraph())

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