Generate graph image from adjacency matrix

gen_graph.py

import networkx as nx
import matplotlib.pyplot as plt
import pylab
import csv
from random import random
G=nx.Graph()

with open('ai3.csv', 'rb') as csvfile:
	spamreader = csv.reader(csvfile, delimiter=',')
	for row in spamreader:
		node = row[0]
		i=1;
		print node
		while(True):
			if(i>5 or row[2*i-1]==""):
				break

			G.add_edge(node,row[2*i-1], weight=row[2*i])
			i+=1


pos=nx.circular_layout(G)

# version 2
pylab.figure(1,figsize=(40,40))
nx.draw_circular(G)
# specifiy edge labels explicitly
edge_labels=dict([((u,v,),d['weight'])
             for u,v,d in G.edges(data=True)])
nx.draw_networkx_nodes(G,pos,node_size=1000)
nx.draw_networkx_edge_labels(G,pos,edge_labels=edge_labels)
nx.draw_networkx_labels(G,pos,font_size=10,font_family='sans-serif')
# show graphs
pylab.show()
#plt.show()
plt.savefig("graph.png", dpi=1000)