Using Networkx to draw graph
Author
posted @ 2014年4月13日 14:51
in Python
, 14605 阅读
Draw a directed graph using Networkx
Code :
try: import matplotlib.pyplot as plt except: raise import networkx as nx G=nx.DiGraph() # Add nodes by specifying their positions G.add_node('10', pos=(2, 10)) G.add_node('9', pos=(4, 9)) G.add_node('8', pos=(0, 13)) G.add_node('7', pos=(1.5, 4)) G.add_node('6', pos=(4, 4)) G.add_node('5', pos=(6, 11)) G.add_node('3', pos=(6, 6)) G.add_node('0', pos=(0, 0)) # Add edges by defining weight and label G.add_edge('10','9',weight=1, label='I') G.add_edge('10','8',weight=1, label='I') G.add_edge('10','7',weight=1, label='I') G.add_edge('9','3', weight=1, label='I') G.add_edge('9','6',weight=1, label='I') G.add_edge('9','5',weight=1, label='I') G.add_edge('7','0',weight=1, label='I') G.add_edge('7','6',weight=0, label='II') G.add_edge('6','3',weight=0, label='II') G.add_edge('5','3',weight=0, label='II') elarge=[(u,v) for (u,v,d) in G.edges(data=True) if d['weight'] >0.5] # solid edge esmall=[(u,v) for (u,v,d) in G.edges(data=True) if d['weight'] <=0.5] # dashed edge # Retrieve the positions from graph nodes and save to a dictionary pos=nx.get_node_attributes(G,'pos') # Draw nodes nx.draw_networkx_nodes(G,pos,node_size=700, node_color='orange') # Draw edges nx.draw_networkx_edges(G,pos,edgelist=elarge, width=2, edge_color='g') nx.draw_networkx_edges(G,pos,edgelist=esmall, arrows=False, width=3, alpha=0.5,edge_color='b',style='dashed') # Draw node labels nx.draw_networkx_labels(G,pos,font_size=18,font_family='sans-serif') # Draw edge labels edge_labels =dict([((u, v), d['label']) for u, v, d in G.edges(data=True)]) nx.draw_networkx_edge_labels(G, pos, edge_labels=edge_labels) plt.axis('off') plt.savefig("communication_authority_graph.eps", format='eps') # save as eps plt.show() # display
References:
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