Note

This documents the development version of NetworkX. Documentation for the current release can be found here.

Mayavi2ΒΆ

import networkx as nx
import numpy as np
from 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(list(G.nodes())) + 5

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(list(G.edges()))
tube = mlab.pipeline.tube(pts, tube_radius=0.01)
mlab.pipeline.surface(tube, color=(0.8, 0.8, 0.8))
mlab.show()

Total running time of the script: ( 0 minutes 0.000 seconds)

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