NetworkX Graph from CSV

[topcat01]

I have two working scripts, but neither of them as I would like. The sample data file I have is in a file called 'file2.txt'

Email,IP,weight,att1
jim.bob@junk.com,192.168.0.1,2,4
steve.bob@mc.com,192.168.0.1,3,4
mary.bob@video.com,192.168.0.25,4,4

The first script I have works and produces a graph I want, however the input comes from StringIO (i want from csv in chunks)

import StringIO
import networkx as nx
import matplotlib.pyplot as plt


data = StringIO.StringIO("""
jim.bob@junk.com,192.168.0.1,2,4
steve.bob@mc.com,192.168.0.1,3,4
mary.bob@video.com,192.168.0.25,4,4
""")


G = nx.read_edgelist(data, delimiter=',', nodetype=str, data=[('weight',int),('att1',int)])
for e in G.edges():
    print e

pos = nx.spring_layout(G,scale=1)

node_labels = nx.get_node_attributes(G,'state')
nx.draw_networkx_labels(G, pos, labels = node_labels)
edge_labels = nx.get_edge_attributes(G,'state')
nx.draw_networkx_edge_labels(G, pos, labels = edge_labels)

nx.draw(G,pos, with_labels=True)
plt.savefig('this.png')
plt.show()

To try and read the data from a large data file i want to read in chunks, so got to the following point which is in the right direction but the output graph is wrong...

import matplotlib.pyplot as plt
import pandas as pd
import networkx as nx

G = nx.DiGraph()

for d in pd.read_csv("file2.txt",sep='\s+', header=None, names=['A', 'B'], chunksize=10000):
    G.add_edges_from([tuple(x) for x in d.values])

for e in G.edges():
    print e

pos = nx.spring_layout(G,scale=1)
nx.draw(G,pos, with_labels=True)
plt.savefig('this.png')
plt.show()

First Graph (what i want)

Second Graph (dont understand why it is like this...)

Thanks for any help!