Anders and Briegel in Python
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graph.py 1.3KB

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  1. import networkx as nx
  2. from matplotlib import pyplot as plt
  3. class Graph(object):
  4. def __init__(self, n):
  5. self.vertices = [set() for i in xrange(n)]
  6. self.vops = ["hadamard" for i in xrange(n)]
  7. def add_edge(self, v1, v2):
  8. self.vertices[v1].add(v2)
  9. self.vertices[v2].add(v1)
  10. def del_edge(self, v1, v2):
  11. self.vertices[v1].remove(v2)
  12. self.vertices[v2].remove(v1)
  13. def edgelist(self):
  14. edges = frozenset(frozenset((i, n))
  15. for i, v in enumerate(self.vertices)
  16. for n in v)
  17. return [tuple(e) for e in edges]
  18. def draw(self, filename="out.pdf"):
  19. g = nx.from_edgelist(self.edgelist())
  20. pos = nx.spring_layout(g)
  21. nx.draw_networkx_nodes(g, pos, node_color="white", node_size=1000)
  22. nx.draw_networkx_labels(g, pos)
  23. nx.draw_networkx_edges(g, pos)
  24. for i, vop in enumerate(self.vops):
  25. if not i in pos: continue
  26. x, y = pos[i]
  27. plt.text(x, y+0.1, "hadamard", ha="center")
  28. plt.axis('off')
  29. plt.savefig(filename)
  30. if __name__ == '__main__':
  31. g = Graph(10)
  32. g.add_edge(0, 1)
  33. g.add_edge(1, 3)
  34. g.add_edge(3, 2)
  35. g.add_edge(3, 0)
  36. g.add_edge(2, 0)
  37. print g.edgelist()
  38. g.draw()