graphml

I'm using NetworkX 1.9.1. I have a graph that I need to organize with positions and I then export to graphml format. I've tried code in this question . It does not work, here is my example import networkx as nx import matplotlib.pyplot as plt G = nx.read_graphml("colored.graphml") pos=nx.spring_layout(G) # an example of quick positioning nx.set_node_attributes(G, 'pos', pos) nx.write_graphml(G, "g.graphml") nx.draw_networkx(G, pos) plt.savefig("g.pdf") Here are the errors I get, the problem is how positions are saved (graphml does not accept arrays). C:\Anaconda\python.exe C:/Users/sturaroa

I am using the prefuse visualization toolkit, The GraphView Demo in the toolkit is amazing providing a variety of controls to visualize the data. I am able to generate GraphML for my dataset and visualize it using GraphView, One additional thing that i would love to have is to label the edges with weights or color coding to demonstrate the strength between two nodes. Any input about the same are greatly appreciated..Thanks.. Disclaimer: I haven't worked with the API just checked the documentation:) It seems that the API has an EdgeRenderer interface that you should implement to achieve the

After generating x/y layout coordinates for a graph in NetworkX, how do I export the graph, along with node positions, as part of the node definition using something like GraphML? The layout algorithms don't seem to annotate the graph directly? Or do they?! The layout algorithms don't set node attributes (but they should). Here is how to set the attributes: In [1]: import networkx as nx In [2]: G=nx.path_graph(4) In [3]: pos=nx.spring_layout(G) In [4]: nx.set_node_attributes(G,'pos',pos) In [5]: G.node Out[5]: {0: {'pos': array([ 0., 0.])}, 1: {'pos': array([ 0.32267963, 0.03340727])}, 2: {