Anders and Briegel in Python
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  1. import networkx as nx
  2. from matplotlib import pyplot as plt
  3. import clifford
  4. import numpy as np
  5. from graphstate import GraphState
  6. VOP_COLORS = ["red", "green", "blue", "orange", "yellow", "purple", "black", "white"]
  7. def draw(state, filename="out.pdf", pos=None, ns=500):
  8. """ Draw a graph with networkx layout """
  9. plt.clf()
  10. graph = nx.from_edgelist(state.edgelist())
  11. pos = nx.spring_layout(graph) if pos==None else pos
  12. colors = [VOP_COLORS[vop % len(VOP_COLORS)] for vop in state.vops.values()]
  13. nx.draw_networkx_nodes(graph, pos, node_color="white", node_size=ns)
  14. nx.draw_networkx_nodes(graph, pos, node_color=colors, node_size=ns, alpha=.4)
  15. nx.draw_networkx_edges(graph, pos, edge_color="gray")
  16. nx.draw_networkx_labels(graph, pos, font_family="FreeSans")
  17. # tables.name_of(v)
  18. labels = {i: "no name" for i, v in state.vops.items()}
  19. pos = {k: v + np.array([0, -.1]) for k, v in pos.items()}
  20. nx.draw_networkx_labels(graph, pos, labels, font_family="FreeSans")
  21. plt.axis('off')
  22. plt.savefig(filename)
  23. return pos