Visualise categorical attributes read from graphml files (beginner)

graph-tool
1

Hi Tiago,

I am trying to visualise a bipartite network (graphml, created with
networkx), where node types are represented by vertex shape and other vertex
attributes such as party affiliation by vertex colour and/or size.

I would be very grateful for a code sample which could help illustrate how
such non-computed attributes are retrieved from loaded graphml file and
assigned to the graph. I was not able to figure this out reading through the
documentation.

Many thanks,

Marten

2

Did you read the documentation about property maps?

For vertex property maps stored in a file, you would access them as:

    g = load_graph("mygraph.xml")
    size = g.vp["size"]

    # print all sizes

    for v in g.vertices():
        print(size[v])

See https://graph-tool.skewed.de/static/doc/quickstart.html#property-maps
for more information.

Best,
Tiago

3

Thanks Tiago,

finally I could not figure out how to create a new vertex property based on
the graphml file I import (it works for everything else) but assigning size,
colour etc. variables in networkx already solves the issue for me.

Best,

Marten