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 dictionary defining :name
– The vertex’s labelgroup
– 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 sourcetarget
– the ID (int) of the edge’s destinationcolor
– the edge’s color (integer)value
– thickness of the edgestrength
– the edge’s strength in the automatic layoutcolor
– 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 by running sage -i d3js
from
the command line.
Todo
- Add tooltip like in http://bl.ocks.org/bentwonk/2514276.
- Add a zoom through scrolling (http://bl.ocks.org/mbostock/3681006).
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=True, 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 graphvertex_labels
(boolean) – Whether to display vertex labels (set toFalse
by default).edge_labels
(boolean) – Whether to display edge labels (set toFalse
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 asvertex_partition
, with edges instead. Set to[]
by default.force_spring_layout
– whether to take previously computed position of nodes into account if there is one, or to compute a spring layout. Set toFalse
by default.vertex_size
– The size of a vertex’ circle. Set to \(7\) by default.edge_thickness
– Thickness of an edge. Set to4
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 to30
by default.link_strength
– See https://github.com/mbostock/d3/wiki/Force-Layout for more information. Set to2
by default.gravity
– See https://github.com/mbostock/d3/wiki/Force-Layout for more information. Set to0.04
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 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())
sage: filename = gen_html_code(graphs.CompleteBipartiteGraph(4,5))