summaryrefslogtreecommitdiff
path: root/networkx/algorithms/centrality/current_flow_betweenness_subset.py
diff options
context:
space:
mode:
authorloicseguin <none@none>2010-08-02 14:50:33 +0000
committerloicseguin <none@none>2010-08-02 14:50:33 +0000
commitc585bf422f2ff040d2182c272f4dd3351626b9e9 (patch)
treed5c6fcaf290e9be993dbd10e9df397703fc173f7 /networkx/algorithms/centrality/current_flow_betweenness_subset.py
parente8b4ab263fca6e4e4c0ec057210f7a72df26da1e (diff)
downloadnetworkx-c585bf422f2ff040d2182c272f4dd3351626b9e9.tar.gz
Merging py3k-1.2 branch into trunk. Addresses #348
--HG-- extra : convert_revision : svn%3A3ed01bd8-26fb-0310-9e4c-ca1a4053419f/networkx/trunk%401832
Diffstat (limited to 'networkx/algorithms/centrality/current_flow_betweenness_subset.py')
-rw-r--r--networkx/algorithms/centrality/current_flow_betweenness_subset.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/networkx/algorithms/centrality/current_flow_betweenness_subset.py b/networkx/algorithms/centrality/current_flow_betweenness_subset.py
index 845824b9..b41e6c54 100644
--- a/networkx/algorithms/centrality/current_flow_betweenness_subset.py
+++ b/networkx/algorithms/centrality/current_flow_betweenness_subset.py
@@ -85,7 +85,7 @@ http://scipy.org/""")
betweenness=dict.fromkeys(G,0.0) # b[v]=0 for v in G
F=_compute_F(G) # Current-flow matrix
m,n=F.shape # m edges and n nodes
- mapping=dict(zip(G,xrange(n))) # map nodes to integers
+ mapping=dict(zip(G,range(n))) # map nodes to integers
for (ei,e) in enumerate(G.edges_iter()):
u,v=e
# ei is index of edge
@@ -180,7 +180,7 @@ http://scipy.org/""")
nb=(n-1.0)*(n-2.0) # normalization factor
else:
nb=2.0
- mapping=dict(zip(G,xrange(n))) # map nodes to integers
+ mapping=dict(zip(G,range(n))) # map nodes to integers
for (ei,e) in enumerate(G.edges_iter()):
# ei is index of edge
Fe=F[ei,:] # ei row of F
@@ -224,7 +224,7 @@ http://scipy.org/""")
m=G.number_of_edges()
B=np.zeros((n,m))
# use G.nodes() and G.edges() ordering of edges for B
- mapping=dict(zip(G,xrange(n))) # map nodes to integers
+ mapping=dict(zip(G,range(n))) # map nodes to integers
for (ei,(v,w,d)) in enumerate(G.edges_iter(data=True)):
c=d.get('weight',1.0)
vi=mapping[v]