In a NestedBlockModel, I'm trying to color the vertices from an underlying
property, and not from the grouping of the NestedBlockModel. I do the
following:
import graph_tool as *
import graph_tool.all as gt
import numpy as np
g = gt.collection.data["football"]
prop = g.new_vertex_property("int")
prop.a = np.random.randint(0, 10, len(prop.a))
state = gt.minimize_nested_blockmodel_dl(g)
state.draw(output='test1.png')
state.draw(vertex_color=prop, output='test2.png')
The difference between the two drawings is that when I supply the
vertex_color, the boundary of the vertex will be colored differently.
However, in a large state that is almost hidden to the naked eye. How can I
color the whole vertex in a different color, not only the boundary?
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