Stochastic Blockmodeling Result: Vertex and Edge colors

graph-tool
1

Hello,

I think I am having the same problem recently risen. I was just wondering
how I can access to the color tuples of the given mapping (draw) results.
Given that:

g = gt.collection.data["celegansneural"]>>> state = gt.minimize_nested_blockmodel_dl(g, deg_corr=True)>>> gt.draw_hierarchy(state, output="celegansneural_nested_mdl.pdf")

I want to use the color codes of blocks (vertex) and edges for another
mapping. Any ideas?

Paul

attachment.html (4.2 KB)

2

As explained in that thread, you can get the colors from the color map:

    graph_tool.draw.default_cm