This is the code required to convert the network from the old pickled format to just storing the networks as dataframes in an hdf5 file (pandas style)

network_data_convert.py

import pandas as pd
import cPickle
import sys

args = sys.argv[1:]
assert len(args) == 2, "go.py <infile.jar> <outfile.h5>"

d = cPickle.load(open(args[0]))

nodes = pd.DataFrame(d['nodes'], index=d['nodeids'])
nodes.columns = ['x', 'y']

edges = pd.DataFrame(d['edges'], index=d['edgeids'])
edges.columns = ['from', 'to']
edges['weight'] = d['edgeweights']
for col in ['from', 'to']:
    # not pretty - pandas isn't really designed for using offsets
    edges[col] = nodes.reset_index().iloc[edges[col]]["index"].values
print edges.describe()

# test is out
import pandana as pdna
pdna.Network(nodes["x"], nodes["y"], edges["from"], edges["to"], 
             edges[["weight"]])

# write it out
store = pd.HDFStore(args[1])
store["nodes"] = nodes
store["edges"] = edges