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matplotlib axis on which the plot is rendered
Returns
-------
dict
A mapping from hyper edge ids to paths (Nx2 numpy matrices)
'''
if len(node_radius):
r0 = min(node_radius.values())
else:
r0 = get_default_radius(H, pos)
dr = dr or r0
levels = get_set_layering(H)
radii = {v: {v: i for i, v in enumerate(sorted(e, key=levels.get))}
for v, e in H.dual().edges.elements.items()}
def get_padded_hull(edge):
# make sure the edge contains at least one node
if len(edge):
points = np.vstack([cp*(node_radius.get(v, r0) + dr*(2 + radii[v][edge.uid])) + pos[v]
for v in edge])
# if not, draw an empty edge centered aroudn the location of the edge node (in the bipartite graph)
else:
points = 4*r0*cp + pos[edge.uid]
hull = ConvexHull(points)
return hull.points[hull.vertices]