Stochastic Blockmodeling Result: Vertex and Edge colors
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 -- *Paul H. Jung* PhD Candidate in Geography & Urban Regional Analysis University of North Carolina at Charlotte 9201 University City Blvd, Charlotte, NC 28223 https://pages.uncc.edu/paul-jung --
Am 17.01.20 um 04:56 schrieb Paul Jung:
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?
As explained in that thread, you can get the colors from the color map: graph_tool.draw.default_cm -- Tiago de Paula Peixoto <tiago@skewed.de>
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Paul Jung -
Tiago de Paula Peixoto