def display_point_cloud(point_cloud, label):
point_vedo = Points(point_cloud[['X', 'Y', 'Z']])
labels = label
cmap = get_cmap('Spectral')
point_vedo.cmap(cmap, labels)
show(point_vedo, axes=True)
# for i, j in G.edges(): g.addEdge(j,i)
##################### Manually create nodes and edges
for i in range(6): g.addChild(i) # add one child node to node i
for i in range(3): g.addChild(i)
for i in range(3): g.addChild(i)
for i in range(7,9): g.addChild(i)
for i in range(3): g.addChild(12) # add 3 children to node 12
g.addEdge(1,16)
##################### build and draw
graph = g.build().unpack(0).lineWidth(4) # get the vedo 3d graph lines
nodes = graph.points() # get the 3d points of the nodes
pts = Points(nodes, r=10).lighting('off')
v1 = ['node'+str(n) for n in range(len(nodes))]
v2 = [sin(x) for x in range(len(nodes))]
labs1 = pts.labels(v1, scale=.04, italic=True).addPos(.05,0.04,0).c('green')
labs2 = pts.labels(v2, scale=.04, precision=3).addPos(.05,-.04,0).c('red')
# Interpolate the node value to color the edges:
graph.cmap('viridis', v2).addScalarBar3D(c='k').addPos(.3,0,0)
pts.cmap('viridis', v2)
# This would colorize the edges directly with solid color based on a v3 array:
# v3 = [sin(x) for x in range(graph.NCells())]
# graph.cmap('jet', v3).addScalarBar()
show(pts, graph, labs1, labs2, __doc__, axes=9)