使用networkx在python中绘制无向图

Question

I am using networkx to plot graph in python. However, my output is too dense. Is there any ways to sparse the graph? Below is my command in python.Thanks

    pos=nx.spring_layout(self.G)
    nx.draw_networkx_nodes(self.G,pos)
    edge_labels=dict([((u,v,),d['weight'])
             for u,v,d in self.G.edges(data=True)])
    nx.draw_networkx_labels(self.G,pos, font_size=20,font_family='sans-serif')
    nx.draw_networkx_edges(self.G,pos)
    plt.axis('off')
    #nx.draw_networkx_labels(self.G,pos, font_size=20,font_family='sans-serif')
    nx.draw_networkx_edge_labels(self.G,pos,edge_labels=edge_labels)
    nx.draw(self.G,pos, edge_cmap=plt.cm.Reds)

    plt.show()

Answer 1

You can also try Graphviz via PyDot (I prefer this one) or PyGraphviz .

In case you are interested in a publication-ready result, you can use the toolchain networkx -> pydot + dot -> dot2tex + dot -> dot2texi.sty -> TikZ . Instead of this fragile toolchain, you can alternatively export directly to TikZ with nx2tikz (I've written it, so I'm biased) and use the graph layout algorithms that have been relatively recently added to TikZ .

Answer 2

After I check some information from the documentation here: http://networkx.github.io/documentation/latest/reference/drawing.html#module-networkx.drawing.layout

I changed the format of layout to

pos=nx.circular_layout(self.G, scale=5)

and it works!