I have a graph g
in python-igraph. I can get a VertexCluster
community structure with the following:
community = g.community_multilevel()
community.membership
gives me a list of the group membership of all the vertices in the graph.
My question is really simple but I haven't found a python-specific answer on SO. How can I plot the graph with visualization of its community structure? Preferably to PDF, so something like
layout = g.layout("kk")
plot(g, "graph.pdf", layout=layout) # Community detection?
Thanks a lot.
Vertices remain ordered in the layout
, graph
, and VertexCluster
, so you can do something like this:
Find the number of communities in the community structure:
>>> max(community.membership)
10
Then create a list/dictionary with max + 1
unique colors (probably not manually like below):
>>> color_list = [
... 'red',
... 'blue',
... 'green',
... 'cyan',
... 'pink',
... 'orange',
... 'grey',
... 'yellow',
... 'white',
... 'black',
... 'purple'
... ]
Then, using list comprehension, create a list containing the colors for each vertex based on the group membership of that vertex and assign that to vertex_color
:
plot(g, "graph.png", layout=layout,
vertex_color=[color_list[x] for x in community.membership])
Result (It's so pretty!)