Warning

This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.

Mayavi2 SpringΒΆ

[source code]

# needs mayavi2
# run with ipython -wthread
import networkx as nx
import numpy as np
from enthought.mayavi import mlab

# some graphs to try
#H=nx.krackhardt_kite_graph()
#H=nx.Graph();H.add_edge('a','b');H.add_edge('a','c');H.add_edge('a','d')
#H=nx.grid_2d_graph(4,5)
H=nx.cycle_graph(20)

# reorder nodes from 0,len(G)-1
G=nx.convert_node_labels_to_integers(H)
# 3d spring layout
pos=nx.spring_layout(G,dim=3)
# numpy array of x,y,z positions in sorted node order
xyz=np.array([pos[v] for v in sorted(G)])
# scalar colors
scalars=np.array(G.nodes())+5

mlab.figure(1, bgcolor=(0, 0, 0))
mlab.clf()

pts = mlab.points3d(xyz[:,0], xyz[:,1], xyz[:,2],
                    scalars,
                    scale_factor=0.1,
                    scale_mode='none',
                    colormap='Blues',
                    resolution=20)

pts.mlab_source.dataset.lines = np.array(G.edges())
tube = mlab.pipeline.tube(pts, tube_radius=0.01)
mlab.pipeline.surface(tube, color=(0.8, 0.8, 0.8))

mlab.savefig('mayavi2_spring.png')
# mlab.show() # interactive window