for p in spl: pathlengths.append(spl[p]) print('') print("average shortest path length %s" % (sum(pathlengths) / len(pathlengths))) # histogram of path lengths dist = {} for p in pathlengths: if p in dist: dist[p] += 1 else: dist[p] = 1 print('') print("length #paths") verts = dist.keys() for d in sorted(verts): print('%s %d' % (d, dist[d])) print("radius: %d" % nx.radius(G)) print("diameter: %d" % nx.diameter(G)) print("eccentricity: %s" % nx.eccentricity(G)) print("center: %s" % nx.center(G)) print("periphery: %s" % nx.periphery(G)) print("density: %s" % nx.density(G)) nx.draw(G, with_labels=True) plt.show()
print('{} {} '.format(v, spl)) for p in spl: pathlengths.append(spl[p]) print('') print("average shortest path length %s" % (sum(pathlengths) / len(pathlengths))) # histogram of path lengths dist = {} for p in pathlengths: if p in dist: dist[p] += 1 else: dist[p] = 1 print('') print("length #paths") verts = dist.keys() for d in sorted(verts): print('%s %d' % (d, dist[d])) print("radius: %d" % nx.radius(G)) print("diameter: %d" % nx.diameter(G)) print("eccentricity: %s" % nx.eccentricity(G)) print("center: %s" % nx.center(G)) print("periphery: %s" % nx.periphery(G)) print("density: %s" % nx.density(G)) nx.draw(G, with_labels=True) plt.show()