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authoraric <none@none>2005-12-01 17:04:48 +0000
committeraric <none@none>2005-12-01 17:04:48 +0000
commit44ada360b16dbbf9cc515cb242992acf3f381b4d (patch)
treec7f0744ea88513abfe892402a08b2a7b7eebbb59 /examples
parent6da5c7900c12f43a488651adb5c809db75c187d8 (diff)
downloadnetworkx-44ada360b16dbbf9cc515cb242992acf3f381b4d.tar.gz
moved to doc
--HG-- extra : convert_revision : svn%3A3ed01bd8-26fb-0310-9e4c-ca1a4053419f/networkx/trunk%4084
Diffstat (limited to 'examples')
-rw-r--r--examples/.cvsignore7
-rw-r--r--examples/atlas.py82
-rw-r--r--examples/davis_club.py156
-rw-r--r--examples/degree_sequence.py37
-rw-r--r--examples/degree_sequence_gnuplot.py53
-rw-r--r--examples/degree_sequence_matplotlib.py55
-rw-r--r--examples/draw.py52
-rw-r--r--examples/eigenvalues.py44
-rw-r--r--examples/erdos_renyi.py30
-rw-r--r--examples/karate_club.py79
-rw-r--r--examples/kevin_bacon.dat50
-rw-r--r--examples/kevin_bacon.py76
-rw-r--r--examples/krackhardt_centrality.py33
-rw-r--r--examples/lanl.edges1363
-rw-r--r--examples/lanl.py62
-rw-r--r--examples/miles.dat701
-rw-r--r--examples/miles.py106
-rw-r--r--examples/properties.py53
-rw-r--r--examples/read_write.py26
-rw-r--r--examples/roget.dat1038
-rw-r--r--examples/roget.py83
-rw-r--r--examples/sample.mbox84
-rwxr-xr-xexamples/unixemail.py86
-rw-r--r--examples/words.dat5762
-rw-r--r--examples/words.py101
-rw-r--r--examples/write_dotfile.py41
26 files changed, 0 insertions, 10260 deletions
diff --git a/examples/.cvsignore b/examples/.cvsignore
deleted file mode 100644
index a0b09fbe..00000000
--- a/examples/.cvsignore
+++ /dev/null
@@ -1,7 +0,0 @@
-*.pyc
-*.pyo
-*.png
-*.edgelist
-*.dot
-*.ps
-
diff --git a/examples/atlas.py b/examples/atlas.py
deleted file mode 100644
index f68cc00f..00000000
--- a/examples/atlas.py
+++ /dev/null
@@ -1,82 +0,0 @@
-#!/usr/bin/env python
-"""
-Atlas of all graphs of 6 nodes or less.
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-05-19 14:23:02 -0600 (Thu, 19 May 2005) $"
-__credits__ = """"""
-__revision__ = ""
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-from networkx.generators.atlas import *
-from networkx.isomorph import graph_could_be_isomorphic as isomorphic
-import random
-
-def atlas6():
- """ Return the atlas of all connected graphs of 6 nodes or less.
- Attempt to check for isomorphisms and remove.
- """
-
- Atlas=graph_atlas_g()[0:208] # 208
- # remove isolated nodes, only connected graphs are left
- U=Graph() # graph for union of all graphs in atlas
- for G in Atlas:
- zerodegree=[n for n in G if G.degree(n)==0]
- for n in zerodegree:
- G.delete_node(n)
- U=disjoint_union(U,G)
-
- # list of graphs of all connected components
- C=connected_component_subgraphs(U)
-
- UU=Graph()
- # do quick isomorphic-like check, not a true isomorphism checker
- nlist=[] # list of nonisomorphic graphs
- for G in C:
- # check against all nonisomorphic graphs so far
- if not iso(G,nlist):
- nlist.append(G)
- UU=disjoint_union(UU,G) # union the nonisomorphic graphs
- return UU
-
-def iso(G1, glist):
- """Quick and dirty nonisomorphism checker used to check isomorphisms."""
- for G2 in glist:
- if isomorphic(G1,G2):
- return True
- return False
-
-
-if __name__ == '__main__':
-
- from networkx import *
-
- G=atlas6()
-
- print "graph has %d nodes with %d edges"\
- %(number_of_nodes(G),number_of_edges(G))
- print number_connected_components(G),"connected components"
-
- # layout graphs with positions using graphviz neato
- pos=pydot_layout(G,prog="neato")
-
- # color nodes
- C=connected_component_subgraphs(G)
- c={}
- for g in C:
-# o=g.order()
- o=random.random() # random color...
- for n in g:
- c[n]=o
-
- figure(1,figsize=(10,10))
- draw_nx(G,pos,node_size=40,node_labels=False,node_color=c)
-
-
diff --git a/examples/davis_club.py b/examples/davis_club.py
deleted file mode 100644
index a8b114e5..00000000
--- a/examples/davis_club.py
+++ /dev/null
@@ -1,156 +0,0 @@
-#!/usr/bin/env python
-"""
-Davis Southern Club Women
-
-Shows how to make unipartite projections of the graph and compute the
-properties of those graphs.
-
-These data were collected by Davis et al
-in the 1930s. They represent observed attendance at 14 social events
-by 18 Southern women. The graph is bipartite (clubs, women).
-
-Data from:
-http://vlado.fmf.uni-lj.si/pub/networks/data/Ucinet/UciData.htm
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-05-12 14:33:11 -0600 (Thu, 12 May 2005) $"
-__credits__ = """"""
-__revision__ = "$Revision: 998 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-import string
-import networkx as NX
-
-def davis_club_graph(create_using=None, **kwds):
- nwomen=14
- nclubs=18
- G=NX.generators.empty_graph(nwomen+nclubs,create_using=create_using,**kwds)
- G.clear()
- G.name="Davis Southern Club Women"
-
- women="""\
-EVELYN
-LAURA
-THERESA
-BRENDA
-CHARLOTTE
-FRANCES
-ELEANOR
-PEARL
-RUTH
-VERNE
-MYRNA
-KATHERINE
-SYLVIA
-NORA
-HELEN
-DOROTHY
-OLIVIA
-FLORA"""
-
- clubs="""\
-E1
-E2
-E3
-E4
-E5
-E6
-E7
-E8
-E9
-E10
-E11
-E12
-E13
-E14"""
-
- davisdat="""\
-1 1 1 1 1 1 0 1 1 0 0 0 0 0
-1 1 1 0 1 1 1 1 0 0 0 0 0 0
-0 1 1 1 1 1 1 1 1 0 0 0 0 0
-1 0 1 1 1 1 1 1 0 0 0 0 0 0
-0 0 1 1 1 0 1 0 0 0 0 0 0 0
-0 0 1 0 1 1 0 1 0 0 0 0 0 0
-0 0 0 0 1 1 1 1 0 0 0 0 0 0
-0 0 0 0 0 1 0 1 1 0 0 0 0 0
-0 0 0 0 1 0 1 1 1 0 0 0 0 0
-0 0 0 0 0 0 1 1 1 0 0 1 0 0
-0 0 0 0 0 0 0 1 1 1 0 1 0 0
-0 0 0 0 0 0 0 1 1 1 0 1 1 1
-0 0 0 0 0 0 1 1 1 1 0 1 1 1
-0 0 0 0 0 1 1 0 1 1 1 1 1 1
-0 0 0 0 0 0 1 1 0 1 1 1 1 1
-0 0 0 0 0 0 0 1 1 1 0 1 0 0
-0 0 0 0 0 0 0 0 1 0 1 0 0 0
-0 0 0 0 0 0 0 0 1 0 1 0 0 0"""
-
-
- # women names
- w={}
- n=1
- for name in string.split(women,'\n'):
- w[n]=name
- n+=1
-
- # club names
- c={}
- n=1
- for name in string.split(clubs,'\n'):
- c[n]=name
- n+=1
-
- # parse matrix
- row=1
- for line in string.split(davisdat,'\n'):
- thisrow=map(int,string.split(line,' '))
- for col in range(0,len(thisrow)):
- if thisrow[col]==1:
- G.add_edge(w[row],c[col+1]) # col goes from 0,33
- row+=1
- return (G,w.values(),c.values())
-
-def project(B,pv,result=False,**kwds):
- """
- Returns a graph that is the unipartite projection of the
- bipartite graph B onto the set of nodes given in list pv.
-
- The nodes retain their names and are connected if they share a
- common node in the vertex set of {B not pv}.
-
- No attempt is made to verify that the input graph B is bipartite.
- """
- if result:
- G=result
- else:
- G=NX.Graph(**kwds)
- for v in pv:
- G.add_node(v)
- for cv in B.neighbors(v):
- G.add_edges_from([(v,u) for u in B.neighbors(cv)])
- return G
-
-if __name__ == "__main__":
- # return graph and women and clubs lists
- (G,women,clubs)=davis_club_graph()
-
- # project bipartite graph onto women nodes
- W=project(G,women)
- # project bipartite graph onto club nodes
- C=project(G,clubs)
-
- print "Degree distributions of projected graphs"
- print
- print "Member #Friends"
- for v in W:
- print v,W.degree(v)
-
- print
- print "Clubs #Members"
- for v in C:
- print v,C.degree(v)
diff --git a/examples/degree_sequence.py b/examples/degree_sequence.py
deleted file mode 100644
index fbd0f494..00000000
--- a/examples/degree_sequence.py
+++ /dev/null
@@ -1,37 +0,0 @@
-#!/usr/bin/env python
-"""
-Random graph from given degree sequence.
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2004-11-03 08:11:09 -0700 (Wed, 03 Nov 2004) $"
-__credits__ = """"""
-__revision__ = "$Revision: 503 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-from networkx.generators.degree_seq import *
-
-z=[5,3,3,3,3,2,2,2,1,1,1]
-is_valid_degree_sequence(z)
-
-print "Configuration model"
-G=configuration_model(z) # configuration model
-degree_sequence=degree(G) # degree sequence
-print "Degree sequence", degree_sequence
-print "Degree histogram"
-hist={}
-for d in degree_sequence:
- if hist.has_key(d):
- hist[d]+=1
- else:
- hist[d]=1
-print "degree #nodes"
-for d in hist:
- print d,hist[d]
-
-
diff --git a/examples/degree_sequence_gnuplot.py b/examples/degree_sequence_gnuplot.py
deleted file mode 100644
index 5d36fe15..00000000
--- a/examples/degree_sequence_gnuplot.py
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/usr/bin/env python
-"""
-Random graph from given degree sequence.
-Draw degree histogram with gnuplot.
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2004-11-03 10:59:33 -0700 (Wed, 03 Nov 2004) $"
-__credits__ = """"""
-__revision__ = "$Revision: 504 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-from networkx.generators.degree_seq import *
-import sys
-
-
-z=create_degree_sequence(1000,powerlaw_sequence)
-is_valid_degree_sequence(z)
-is_valid_degree_sequence(z)
-
-print "Configuration model"
-G=configuration_model(z) # configuration model
-degree_sequence=degree(G) # degree sequence
-#print "Degree sequence", degree_sequence
-hist={}
-for d in degree_sequence:
- if hist.has_key(d):
- hist[d]+=1
- else:
- hist[d]=1
-
-# write gnuplot command file
-fh=open("degree.gnu",'w')
-fh.write("set logscale xy\n")
-fh.write("set xlabel 'degree'\n")
-fh.write("set ylabel 'number of nodes'\n")
-fh.write("set title 'Degree distribution'\n")
-fh.write("plot 'degree.dat' \n")
-fh.write("pause -1 \n")
-fh.close()
-# wrte the data
-fh=open("degree.dat",'w')
-fh.write("# degree #nodes\n")
-for d in hist:
- fh.write("%s %s\n"%(d,hist[d]))
-fh.close()
-
-sys.stderr.write("Now run 'gnuplot degree.gnu'\n")
diff --git a/examples/degree_sequence_matplotlib.py b/examples/degree_sequence_matplotlib.py
deleted file mode 100644
index 189c1fcc..00000000
--- a/examples/degree_sequence_matplotlib.py
+++ /dev/null
@@ -1,55 +0,0 @@
-#!/usr/bin/env python
-"""
-Random graph from given degree sequence.
-Draw degree histogram with matplotlib.
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-02-23 13:02:09 -0700 (Wed, 23 Feb 2005) $"
-__credits__ = """"""
-__revision__ = "$Revision: 778 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-try:
- from matplotlib.pylab import *
- import matplotlib.mlab as mlab
-except:
- print
- print "pylab not found: see https://networkx.lanl.gov/Drawing.html for info"
- print
- raise
-
-from networkx import *
-from networkx.generators.degree_seq import *
-
-
-z=create_degree_sequence(1000,powerlaw_sequence)
-is_valid_degree_sequence(z)
-
-print "Configuration model"
-G=configuration_model(z) # configuration model
-
-degree_sequence=degree(G) # degree sequence
-print "Degree sequence", degree_sequence
-dmax=max(degree_sequence)
-print "Degree histogram, max degree:",dmax
-#h,bins=mlab.hist(degree_sequence,bins=dmax)
-h,bins=mlab.hist(degree_sequence,bins=dmax)
-
-# draw x-y plot
-figure(2)
-hmax=max(h)
-axis([1,dmax,1,hmax]) # set ranges
-x=compress(h,bins) # remove bins with zero entries
-y=compress(h,h) # remove corresponding entries
-loglog(x,y,'bo')
-title("Degree distribution")
-xlabel("degree")
-ylabel("number of nodes")
-show()
-
diff --git a/examples/draw.py b/examples/draw.py
deleted file mode 100644
index 0e4d6a54..00000000
--- a/examples/draw.py
+++ /dev/null
@@ -1,52 +0,0 @@
-#!/usr/bin/env python
-"""
-Draw a graph with matplotlib.
-You must have matplotlib for this to work
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-03-22 13:57:46 -0700 (Tue, 22 Mar 2005) $"
-__credits__ = """"""
-__revision__ = "$Revision: 831 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-try:
- from pylab import *
-except:
- print
- print "pylab not found: see https://networkx.lanl.gov/Drawing.html for info"
- print
- raise
-
-from networkx import *
-
-
-G=grid_2d_graph(4,4) #4x4 grid
-draw_circular(G) # circular layout
-savefig("grid_circular.png") # save as png
-hold(False) # clear axes
-try:
- draw_nxpydot(G) # neato (graphviz) layout
- savefig("grid_nxpydot.ps") # save as postscript
-except:
- print
- print "pydot not found: skipping graphviz layout with pydot"
- print
- raise "see https://networkx.lanl.gov/Drawing.html for info"
-
-pos=spring_layout(G)
-subplot(221)
-draw_nx(G,pos)
-subplot(222)
-draw_nx(G,pos,node_color='k',node_size=20,node_labels=False)
-subplot(223)
-draw_nx(G,pos,node_color='g',node_size=20,node_labels=False)
-subplot(224)
-H=G.to_directed()
-draw_nx(H,pos,node_color='b',node_size=20,node_labels=False)
-
-show()
diff --git a/examples/eigenvalues.py b/examples/eigenvalues.py
deleted file mode 100644
index f985d06b..00000000
--- a/examples/eigenvalues.py
+++ /dev/null
@@ -1,44 +0,0 @@
-#!/usr/bin/env python
-"""
-Create an Erdos-Renyi random graph and compute the eigenvalues.
-
-Requires LinearAlgebra package from Numeric Python.
-
-Uses optional pylab plotting to produce histogram of eigenvalues.
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-06-17 11:38:54 -0600 (Fri, 17 Jun 2005) $"
-__credits__ = """"""
-__revision__ = "$Revision: 1055 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-import LinearAlgebra as LA
-try:
- from pylab import *
-except:
- pass
-
-n=1000 # 1000 nodes
-m=5000 # 5000 edges
-
-G=erdos_renyi_graph(n,m)
-
-L=generalized_laplacian(G)
-e=LA.eigenvalues(L)
-print "Largest eigenvalue:",max(e)
-print "Smallest eigenvalue:",min(e)
-# plot with matplotlib if we have it
-# shows "semicircle" distribution of eigenvalues
-try:
- hist(e,bins=100) # histogram with 100 bins
- xlim(0,2) # eigenvalues between 0 and 2
- show()
-except:
- pass
diff --git a/examples/erdos_renyi.py b/examples/erdos_renyi.py
deleted file mode 100644
index 0c276331..00000000
--- a/examples/erdos_renyi.py
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env python
-"""
-Create an Erdos-Renyi random graph and report some properties.
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2004-11-03 08:11:09 -0700 (Wed, 03 Nov 2004) $"
-__credits__ = """"""
-__revision__ = "$Revision: 503 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-
-n=10 # 10 nodes
-m=20 # 20 edges
-
-G=erdos_renyi_graph(n,m)
-
-# some properties
-print "node degree clustering"
-for v in nodes(G):
- print v,degree(G,v),clustering(G,v)
-
-# print the adjacency list
-write_adjlist(G)
-
diff --git a/examples/karate_club.py b/examples/karate_club.py
deleted file mode 100644
index 1260c7f0..00000000
--- a/examples/karate_club.py
+++ /dev/null
@@ -1,79 +0,0 @@
-#!/usr/bin/env python
-"""
-Zachary's Karate Club graph
-
-Data from:
-http://vlado.fmf.uni-lj.si/pub/networks/data/Ucinet/UciData.htm
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)\n Katy Bold (kbold@princeton.edu"""
-__date__ = "$Date: 2004-11-19 12:00:51 -0700 (Fri, 19 Nov 2004) $"
-__credits__ = """"""
-__revision__ = "$Revision: 591 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-import string
-
-def karate_graph(create_using=None, **kwds):
- from networkx.generators.classic import empty_graph
-
- G=empty_graph(34,create_using=create_using,**kwds)
- G.name="Zachary's Karate Club"
-
- zacharydat="""\
-0 1 1 1 1 1 1 1 1 0 1 1 1 1 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 1 0 0
-1 0 1 1 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 0 0 0
-1 1 0 1 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0
-1 1 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1
-0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
-1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
-0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
-1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
-1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 1 1
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1
-0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1
-0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1
-0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 1
-0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1
-1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 0 1 1
-0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 1 0 1 0 1 1 0 0 0 0 0 1 1 1 0 1
-0 0 0 0 0 0 0 0 1 1 0 0 0 1 1 1 0 0 1 1 1 0 1 1 0 0 1 1 1 1 1 1 1 0"""
-
-
- row=1
- for line in string.split(zacharydat,'\n'):
- thisrow=map(int,string.split(line,' '))
- for col in range(0,len(thisrow)):
- if thisrow[col]==1:
- G.add_edge(row,col+1) # col goes from 0,33
- row+=1
- return G
-
-if __name__ == "__main__":
-
- G=karate_graph()
- print "Node Degree"
- for v in G:
- print v,G.degree(v)
diff --git a/examples/kevin_bacon.dat b/examples/kevin_bacon.dat
deleted file mode 100644
index de17569d..00000000
--- a/examples/kevin_bacon.dat
+++ /dev/null
@@ -1,50 +0,0 @@
-William Shatner;Loaded Weapon 1 (1993);Denise Richards
-Denise Richards;Wild Things (1998);Kevin Bacon
-Patrick Stewart;Prince of Egypt, The (1998);Steve Martin
-Steve Martin;Novocaine (2000);Kevin Bacon
-Gerard Depardieu;Unhook the Stars (1996);Clint Howard
-Clint Howard;My Dog Skip (2000);Kevin Bacon
-Sean Astin;White Water Summer (1987);Kevin Bacon
-Theodore Hesburgh;Rudy (1993);Gerry Becker
-Gerry Becker;Sleepers (1996);Kevin Bacon
-Henry Fonda;Midway (1976);Robert Wagner
-Robert Wagner;Wild Things (1998);Kevin Bacon
-Mark Hamill;Slipstream (1989);Bill Paxton
-Bill Paxton;Apollo 13 (1995);Kevin Bacon
-Harrison Ford;Random Hearts (1999);Steve Altes
-Steve Altes;Hollow Man (2000);Kevin Bacon
-Alec Guinness;Kafka (1991);Theresa Russell
-Theresa Russell;Wild Things (1998);Kevin Bacon
-Carrie Fisher;Soapdish (1991);Elisabeth Shue
-Elisabeth Shue;Hollow Man (2000);Kevin Bacon
-Sean Connery;Rising Sun (1993);Peter Crombie
-Peter Crombie;My Dog Skip (2000);Kevin Bacon
-Dana Young;Bersaglio mobile (1967);Bebe Drake
-Bebe Drake;Report to the Commissioner (1975);William Devane
-A. Paliakov;Kutuzov (1944);Nikolai Brilling
-Nikolai Brilling;Otello (1955);Kathleen Byron
-Kathleen Byron;Saving Private Ryan (1998);Tom Hanks
-Tom Hanks;Apollo 13 (1995);Kevin Bacon
-Zoya Barantsevich;Slesar i kantzler (1923);Nikolai Panov
-Nikolai Panov;Zhenshchina s kinzhalom (1916);Zoia Karabanova
-Zoia Karabanova;Song to Remember, A (1945);William Challee
-William Challee;Irish Whiskey Rebellion (1972);William Devane
-William Devane;Hollow Man (2000);Kevin Bacon
-P. Biryukov;Pikovaya dama (1910);Aleksandr Gromov
-Aleksandr Gromov;Tikhij Don (1930);Yelena Maksimova
-Yelena Maksimova;Bezottsovshchina (1976);Lev Prygunov
-Lev Prygunov;Saint, The (1997);Elisabeth Shue
-Yelena Chaika;Ostrov zabenya (1917);Viktor Tourjansky
-Viktor Tourjansky;Zagrobnaya skitalitsa (1915);Olga Baclanova
-Olga Baclanova;Freaks (1932);Angelo Rossitto
-Angelo Rossitto;Dark, The (1979);William Devane
-Christel Holch;Hvide Slavehandel, Den (1910/I);Aage Schmidt
-Aage Schmidt;Begyndte ombord, Det (1937);Valso Holm
-Valso Holm;Spion 503 (1958);Max von Sydow
-Max von Sydow;Judge Dredd (1995);Diane Lane
-Diane Lane;My Dog Skip (2000);Kevin Bacon
-Val Kilmer;Saint, The (1997);Elisabeth Shue
-Marilyn Monroe;Niagara (1953);George Ives
-George Ives;Stir of Echoes (1999);Kevin Bacon
-Jacques Perrin;Deserto dei tartari, Il (1976);Vittorio Gassman
-Vittorio Gassman;Sleepers (1996);Kevin Bacon
diff --git a/examples/kevin_bacon.py b/examples/kevin_bacon.py
deleted file mode 100644
index beec7ed1..00000000
--- a/examples/kevin_bacon.py
+++ /dev/null
@@ -1,76 +0,0 @@
-#!/usr/bin/env python
-"""
-An example using networkx.XGraph(multiedges=True).
-
-Calculate the Kevin Bacon numbers of some actors. The data in
-kevin_bacon.dat is a subset from all movies with Kevin Bacon in
-the cast, as taken from the example in the Boost Graph Library.
-cf. http://www.boost.org/libs/graph/doc/kevin_bacon.html
-
-"""
-__author__ = """Pieter Swart (swart@lanl.gov)"""
-__date__ = "$Date: 2005-04-13 16:16:18 -0600 (Wed, 13 Apr 2005) $"
-__credits__ = """"""
-__revision__ = ""
-
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-
-def kevin_bacon_graph():
- """Return the graph of actors connected by a movie.
-
- Uses data from kevin_bacon.dat from Boost Graph Library.
- Each edge between two actors contain the movie name.
-
- """
- try:
- datafile=open("kevin_bacon.dat",'rb')
- except IOError:
- print "kevin_bacon.dat not found."
- raise
-
- G=XGraph(multiedges=True)
-
- for line in datafile.read().splitlines():
- actor1, movie, actor2 = line.split(';')
- G.add_edge(actor1, actor2, movie)
- return G
-
-if __name__ == '__main__':
- from networkx import *
-
- G=kevin_bacon_graph()
- print "Loaded the kevin_bacon_graph from kevin_bacon.dat"
- print "Graph has %d actors with %d edges"\
- %(number_of_nodes(G),number_of_edges(G))
-
- bacon_no={}
- for a in G:
- bacon_no[a]=shortest_path_length(G,a,'Kevin Bacon')
-
- for a in G:
- print "%s's bacon number is %d" %(a,bacon_no[a])
-
- # draw using pydot + pygraphviz
- # node size = 50*degree
- # node color correspond to bacon number
- nsize={}
- for n in G:
- nsize[n]=50*G.degree(n)
-
- try:
- draw_nxpydot(G,prog='fdp',
- node_labels=False,
- node_size=nsize,
- node_color=bacon_no, cmap=cm.gray
- )
- savefig("kevin_bacon.png")
- print "created kevin_bacon.png"
- except:
- pass
diff --git a/examples/krackhardt_centrality.py b/examples/krackhardt_centrality.py
deleted file mode 100644
index 29643d32..00000000
--- a/examples/krackhardt_centrality.py
+++ /dev/null
@@ -1,33 +0,0 @@
-#!/usr/bin/env python
-"""
-Centrality measures of Krackhardt social network.
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-05-12 14:33:11 -0600 (Thu, 12 May 2005) $"
-__credits__ = """"""
-__revision__ = "$Revision: 998 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-
-G=krackhardt_kite_graph()
-
-print "Betweenness"
-b=betweenness_centrality(G)
-for v in G.nodes():
- print "%0.2d %5.3f"%(v,b[v])
-
-print "Degree centrality"
-d=degree_centrality(G)
-for v in G.nodes():
- print "%0.2d %5.3f"%(v,d[v])
-
-print "Closeness centrality"
-c=closeness_centrality(G)
-for v in G.nodes():
- print "%0.2d %5.3f"%(v,c[v])
diff --git a/examples/lanl.edges b/examples/lanl.edges
deleted file mode 100644
index db831813..00000000
--- a/examples/lanl.edges
+++ /dev/null
@@ -1,1363 +0,0 @@
-1 0 9
-2 3 173
-3 4 167
-4 5 165
-5 102 96
-5 6 96.43
-6 7 96.62
-7 8 86
-8 9 87
-9 10 82
-10 11 79
-11 12 74
-12 13 41
-13 1 3
-14 15 187.46
-15 16 187
-16 17 187.04
-17 18 186.62
-18 19 185.88
-19 20 185.4
-20 21 184.02
-21 22 184.38
-22 23 183.97
-23 24 93.01
-24 25 88.59
-25 26 86.26
-26 27 88.04
-27 28 77.12
-28 29 74
-29 119 70.1
-29 30 72
-30 31 73
-31 32 89.41
-32 13 6.63
-33 34 212.25
-34 35 211.46
-35 36 209.04
-36 37 211.57
-37 38 206.57
-38 39 105.04
-39 40 77.21
-40 41 86.5
-41 42 0
-42 1 16
-43 44 112.67
-44 45 111.94
-45 46 111.77
-46 47 111.83
-47 48 111.27
-48 49 111.76
-49 50 109.32
-50 51 110.67
-51 52 80.63
-52 53 80.78
-53 41 30
-54 55 164.62
-55 56 164.13
-56 57 164.24
-57 58 156.43
-58 59 88.92
-59 60 88.6
-60 61 86.53
-61 62 85.96
-62 10 86.8
-63 64 221.31
-64 65 220.88
-65 66 220.84
-66 67 220.27
-67 68 215.19
-68 69 209
-69 70 213.81
-70 71 208.04
-71 72 196.45
-72 73 197.05
-73 74 163.85
-74 75 186.4
-75 76 180.35
-76 77 103.92
-77 78 98.6
-78 79 98.83
-79 80 96.09
-80 10 309
-81 82 174.3
-82 83 173.57
-83 84 173.9
-84 85 173.66
-85 86 173.75
-86 87 92.62
-87 88 73.93
-88 32 91.44
-89 90 158
-90 91 155
-91 92 158
-91 97 157.76
-92 93 86
-93 94 325.32
-94 32 5.53000000000003
-95 96 158.17
-96 91 157.6
-97 98 84.74
-98 94 84.87
-99 100 282
-100 101 279
-101 5 167
-102 7 87
-103 104 201.16
-104 105 200.5
-105 106 200.5
-106 39 121.02
-107 108 148.27
-108 109 147.59
-109 110 147.87
-110 111 147.88
-111 112 147.82
-112 113 140.19
-113 114 147.54
-114 115 64.02
-115 116 67.75
-116 117 70.55
-117 118 98.3
-118 119 80.4
-119 31 81.28
-120 121 161.26
-121 122 160.84
-122 123 160.86
-123 58 160.84
-124 125 238.34
-125 126 237.79
-126 127 237.08
-127 128 234.34
-128 129 236.72
-129 130 237.18
-130 131 119.25
-131 132 111.15
-132 133 30.93
-133 134 50
-134 135 49
-135 42 43
-136 137 148.68
-137 138 147.78
-138 139 147.74
-139 140 148.29
-140 141 136.56
-141 142 145.37
-142 143 144.93
-143 144 141.78
-143 160 144.92
-144 145 141.65
-145 146 72.32
-146 147 68.81
-147 148 73.15
-148 149 93.13
-149 150 82.38
-150 151 86.03
-151 152 73.3
-152 153 80.2
-153 154 83.08
-154 32 0
-155 156 152.24
-156 157 151.47
-157 158 150.17
-158 159 151.59
-159 140 145.38
-160 145 143.86
-161 162 197.3
-162 163 196.83
-163 164 196.73
-164 165 196.8
-165 166 131.22
-165 383 128.8
-166 167 36
-167 168 44.08
-168 42 11.49
-169 170 178
-170 171 174
-171 172 166
-172 5 166
-173 174 213.7
-174 175 213.01
-175 176 213.03
-176 177 213.38
-177 178 202.81
-178 179 204.73
-179 180 203
-180 38 202.46
-181 182 44
-182 183 41
-183 184 43
-184 185 44
-185 186 42
-186 187 33
-187 188 32
-188 189 39.44
-189 42 36.28
-190 191 258.85
-191 192 257.61
-192 193 258.1
-193 194 87.26
-194 195 88.26
-195 196 85.82
-196 197 18.93
-197 198 32
-198 188 33.68
-199 200 114
-200 201 110
-201 202 114
-202 203 112
-203 204 29
-204 205 36
-205 206 37
-206 42 27
-207 208 562.86
-208 209 561.89
-209 210 561.94
-210 211 9.50999999999999
-211 212 14.12
-212 213 6.81000000000006
-213 214 1.72000000000003
-214 215 11.83
-215 117 85.94
-216 217 114.12
-217 218 112.57
-218 219 112.04
-219 220 112.01
-220 188 88.74
-221 222 211
-222 223 208
-223 224 211
-224 225 103
-225 226 104.75
-226 227 103
-226 687 105
-227 98 73
-228 229 67.83
-229 230 66.68
-230 231 67.39
-231 232 67.36
-232 233 66.39
-233 234 32.11
-234 188 32.19
-235 236 194
-236 237 191
-237 172 166
-238 239 191.94
-239 240 190.85
-240 241 191.48
-241 242 190.73
-242 243 183.14
-243 244 182.32
-244 245 179.92
-245 246 182.17
-246 97 173.79
-247 248 195.23
-248 249 194.78
-249 250 179.06
-250 251 179.01
-251 252 168.31
-252 57 165.26
-253 254 92.14
-254 255 91.07
-255 256 90.41
-256 257 90.85
-257 258 46.52
-258 259 57.31
-259 260 4.04000000000001
-260 261 19.22
-261 262 8.82000000000001
-262 263 79
-263 41 78
-264 265 102.69
-265 266 102.24
-266 267 101.92
-267 1355 116
-267 268 101.64
-268 269 0
-269 270 80.77
-270 271 89.27
-271 272 115
-272 273 116
-273 274 115
-274 133 50
-275 276 58.9
-276 277 58.19
-277 278 0
-278 279 58.13
-279 280 58.21
-280 281 58.04
-281 282 58.12
-282 283 31.7
-283 284 26.07
-284 285 38.42
-284 574 32.12
-285 286 196
-286 42 127
-287 288 186.74
-288 289 185.88
-289 290 183.24
-290 291 184.06
-291 292 181.22
-292 293 0
-293 294 171.29
-294 295 102.04
-295 296 68.99
-296 30 68.93
-297 298 103.31
-298 299 102.8
-299 300 102.75
-300 301 102.77
-301 302 102.55
-302 270 101.64
-303 304 555.45
-305 306 76.2
-306 307 75.65
-307 308 75.66
-308 309 75.9
-309 310 75.7
-310 311 69.12
-311 312 68.99
-312 32 0
-313 314 170
-314 315 167
-315 316 169
-316 317 169
-317 318 169
-318 319 167
-319 320 167
-320 321 27
-321 198 16
-322 323 178
-323 324 175
-324 325 177
-325 326 125
-326 327 117
-327 328 34
-328 329 34
-329 330 34
-330 331 0
-331 198 33
-332 333 85.6
-333 334 84.88
-334 335 84.69
-335 336 77.26
-336 337 80.75
-337 53 79.65
-338 339 104.12
-339 340 103.35
-340 341 103.55
-341 342 61.24
-342 343 90.09
-343 344 92.58
-344 345 92.92
-345 346 86
-346 9 86
-347 348 106.96
-348 349 106.37
-349 350 75.33
-350 351 90.59
-351 61 66
-352 353 76.11
-353 354 75.34
-354 355 75.16
-355 356 74.84
-356 357 61.66
-357 358 103.06
-358 359 34
-359 168 34
-360 361 122.16
-361 362 121.69
-362 166 121.31
-363 364 63.84
-364 365 63.35
-365 366 63.5
-366 367 48.79
-367 368 47.81
-368 369 38.89
-369 370 38.77
-370 371 37.31
-371 358 36.43
-372 373 210
-373 374 206
-374 375 187
-375 376 343
-376 377 193
-377 378 33
-378 379 86
-378 866 33.57
-378 958 33
-379 285 196
-380 381 51.17
-381 382 50.66
-382 383 27.75
-383 359 32
-384 385 44.03
-385 386 43.56
-386 387 43.19
-387 358 40.03
-388 389 79.01
-389 390 0
-390 358 78.04
-391 392 186.71
-392 393 185.92
-393 394 184.8
-394 395 171.14
-395 396 176.31
-396 53 82
-397 398 133.54
-398 399 133.05
-399 400 133.09
-400 383 132.6
-401 402 101.49
-402 403 101
-403 358 100.55
-404 405 199.34
-405 406 198.85
-406 407 198.94
-407 408 199.01
-408 409 198.79
-409 410 53.72
-410 411 33.45
-411 412 38.86
-412 413 36.46
-413 414 38.68
-414 205 31.92
-415 416 35.64
-416 417 34.93
-417 418 34.91
-418 414 34.93
-419 420 119.9
-420 421 119.37
-421 422 119.02
-422 423 118.89
-423 215 111.28
-424 425 57.09
-425 426 56.3
-426 427 54.33
-427 428 55.68
-428 429 55.89
-429 430 52.57
-430 283 39.54
-431 432 91.65
-432 433 90.74
-433 434 91.05
-434 435 90.27
-435 436 87.89
-436 437 83.17
-437 438 76.52
-438 439 67.26
-440 441 32.05
-441 42 32.57
-442 443 103.73
-443 444 100.75
-444 357 103.22
-445 446 226.87
-446 447 226.41
-447 448 226.52
-448 166 225.66
-449 450 107.54
-450 451 107.08
-451 383 106.74
-452 453 190.21
-453 454 186.79
-454 455 188.77
-455 456 188.36
-456 457 41.12
-457 458 39.38
-458 459 39.48
-459 460 37.96
-460 286 32
-461 462 32.81
-462 359 32.31
-463 464 106.75
-464 465 106.27
-465 358 105.93
-466 467 34.12
-467 468 15.78
-468 469 33.79
-469 470 33.05
-470 471 53.35
-471 188 17.55
-472 473 90.41
-473 474 89.07
-474 475 90.06
-475 476 89.2
-476 477 88.42
-477 478 85.87
-478 10 0
-479 480 142.27
-480 481 8.90000000000001
-481 482 13.62
-482 483 112.18
-483 29 138.4
-484 485 101.64
-485 486 100.96
-486 487 101.12
-487 488 100.77
-488 489 49.98
-489 117 48.89
-490 491 42.63
-491 492 42.02
-492 493 41.89
-493 494 41.72
-494 460 40.09
-495 496 184.89
-496 497 184.2
-497 498 184.58
-498 499 184.51
-499 500 43.65
-500 501 43.27
-501 502 39.97
-502 286 39.64
-503 504 87.59
-504 505 86.98
-505 506 68.34
-506 507 86.09
-507 79 85.85
-508 509 35.46
-509 510 34.98
-510 511 35.09
-511 512 35.06
-512 203 32.71
-513 514 237.49
-514 515 236.63
-515 516 235.99
-516 517 235.45
-517 119 232.59
-518 519 108.9
-519 520 108.33
-520 521 108.34
-521 522 108.32
-522 523 89.23
-523 524 76.97
-524 525 76.55
-525 32 74.26
-526 527 94.58
-527 528 93.93
-528 529 93.74
-529 530 92.33
-530 531 91.65
-531 532 92.78
-532 533 52.01
-533 119 76
-534 535 278.82
-535 536 277.82
-536 537 277.42
-537 538 277.54
-538 215 269.96
-539 540 61.14
-540 541 59.85
-541 542 60.8
-542 543 60.65
-543 544 56.01
-544 470 33.14
-545 546 111.16
-546 547 109.47
-547 548 110.05
-548 549 108.98
-549 550 108.86
-550 551 47.69
-551 552 47.26
-552 205 55.57
-553 554 85.92
-554 555 83.29
-555 556 85.58
-556 557 85.45
-557 558 79.84
-558 559 76.12
-559 478 67.6
-560 561 315.3
-561 562 314.68
-562 563 314.69
-563 564 314.81
-564 565 291.4
-565 596 287.51
-566 567 281.41
-567 568 117.21
-567 597 134.64
-568 569 121.28
-569 570 138.98
-570 571 130.29
-571 572 85.41
-572 573 85.15
-573 283 35.07
-574 286 31.89
-575 576 107.08
-576 577 106.44
-577 578 96
-578 1347 96
-578 579 106.29
-579 580 106.33
-580 204 21
-581 582 182.8
-582 583 180.62
-583 584 181.1
-584 585 181
-585 586 176.62
-586 587 167.92
-587 588 33.47
-588 589 34.93
-589 580 33.76
-590 591 293.64
-591 592 293.08
-592 593 293.16
-594 595 292.45
-595 564 291.9
-596 566 287.81
-597 569 129.61
-598 599 108.64
-599 600 103.72
-600 203 108.12
-601 602 188.26
-602 603 186.83
-603 101 150.99
-604 605 172.09
-605 606 171.68
-606 607 171.75
-607 57 165.06
-608 609 108.26
-609 610 107.62
-610 611 107.17
-611 612 107.3
-612 613 94.52
-614 615 179.19
-615 616 178.63
-616 617 178.73
-617 618 177.65
-618 619 93.43
-619 312 87.42
-620 621 180.61
-621 622 179.95
-622 623 180.24
-623 624 180.2
-624 625 180.07
-625 626 182.28
-626 627 176.33
-627 628 99.93
-628 629 96.99
-629 630 96.68
-630 396 76.07
-631 632 156.82
-632 633 156.12
-633 634 155.87
-634 635 156
-635 636 155.69
-636 637 155.46
-637 638 169.15
-638 639 168.91
-639 640 168.78
-640 28 47.56
-641 642 199.77
-642 643 196.16
-643 644 199.4
-644 645 197.12
-645 646 174.59
-646 71 197.29
-647 648 234
-648 649 230
-649 650 233
-650 651 102
-651 652 98
-652 197 101
-653 654 187
-654 655 184
-655 101 167
-656 657 203.5
-657 658 202.75
-658 659 202.65
-659 660 202.31
-660 661 202.32
-661 662 202.19
-662 663 181.05
-663 664 93.39
-664 665 86.23
-665 148 93.14
-666 667 204.1
-667 668 203.08
-668 669 203.14
-669 617 177.3
-670 671 115.11
-671 672 114.18
-672 673 114.39
-673 674 110.33
-674 675 107.11
-676 677 262
-677 678 261.21
-678 679 256.73
-679 680 258.46
-680 681 258.25
-681 637 257.7
-682 683 234.24
-683 684 233.35
-684 685 232.7
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-686 225 103.48
-687 93 321.3
-688 689 89.06
-689 690 88.36
-691 692 88.72
-692 693 88.5
-693 285 88.12
-694 695 637.37
-695 696 636.56
-696 697 634.76
-697 698 628.88
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-699 700 102.91
-700 701 85.77
-701 702 78.1799999999999
-702 703 96.09
-703 165 52.89
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-705 706 97.48
-706 707 95.44
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-708 709 97.42
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-710 711 237.43
-711 712 236.85
-712 713 236.53
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-714 715 208.15
-715 716 207.98
-716 38 108.65
-716 717 107.34
-717 39 111.29
-718 719 87
-719 720 82
-720 721 86
-721 722 87
-722 723 86
-723 724 79
-724 725 32
-725 396 83
-726 727 196.18
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-728 729 194.91
-729 730 195.83
-730 731 110.77
-731 732 111.26
-732 733 111.4
-733 734 111.31
-734 735 111.15
-735 736 90.31
-736 737 93.77
-737 215 96.41
-738 739 456.99
-739 740 454.87
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-741 742 454.46
-742 743 422.76
-743 744 327.98
-744 687 326.23
-745 746 241.98
-746 747 241.31
-747 748 241.24
-748 749 236
-749 750 231.22
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-751 752 97.31
-752 753 103.3
-753 754 31.03
-754 198 0
-755 756 219.66
-756 757 218.95
-757 758 219.13
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-759 760 218.51
-760 761 218.5
-761 762 200.71
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-763 203 105.48
-764 765 186.62
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-766 5 127.52
-767 768 88
-768 102 85
-769 770 199.66
-770 771 199.14
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-772 773 196.95
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-774 775 194
-775 776 190.3
-776 777 190.08
-777 625 187.75
-778 779 203.98
-779 780 203.14
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-781 782 182.54
-782 783 177.2
-783 626 175.98
-784 785 230.98
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-786 787 229.17
-787 788 228.7
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-789 790 208.82
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-818 819 45.02
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-821 285 43.1
-822 823 156.08
-823 824 131.23
-824 825 149.04
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-827 828 111.31
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-867 868 138
-868 869 135
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-888 889 196.54
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-891 892 34.95
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-894 895 98
-895 896 95
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-898 899 200.41
-899 900 199.7
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-904 905 240.47
-905 906 239.63
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-909 910 239.8
-910 911 153.73
-911 912 139.02
-912 913 25.99
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-914 640 30.59
-915 916 57.63
-916 917 56.93
-917 918 56.9
-918 919 56.61
-919 920 56.6
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-921 922 52.48
-922 923 49.64
-923 924 37
-925 926 698.1
-926 927 696.29
-927 928 697.35
-928 929 696.84
-929 930 104.07
-930 931 112.53
-931 932 116.56
-932 933 113.51
-933 42 72.73
-934 935 108
-935 936 105
-936 937 108
-937 166 108
-938 939 247.1
-939 940 246.42
-940 941 245.86
-941 942 218.76
-942 943 218.87
-943 944 33.42
-944 188 31
-945 946 75
-946 947 72
-947 383 74
-948 949 103
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-978 979 165.74
-979 980 169.19
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-982 983 169.1
-983 984 161.78
-984 985 161.68
-985 986 164.96
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-989 811 33.93
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-993 994 165.1
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-1000 1001 142.77
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-1203 1204 78.09
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-1206 1207 103.57
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-1222 1223 30
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-1310 1311 212
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-1313 1314 213
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-1315 1316 227
-1316 1317 224
-1317 1318 226
-1318 1319 226
-1319 944 45
-1320 1321 219.19
-1321 1322 218.4
-1322 1323 218.88
-1323 1324 218.55
-1324 1325 213.7
-1325 1314 214.5
-1326 1327 248.5
-1327 1328 247.98
-1328 1329 248.15
-1329 1330 247.15
-1330 1313 245.15
-1331 188 64.76
-1332 1333 140
-1333 1334 137
-1334 1335 139
-1335 1336 139
-1336 1337 139
-1337 1338 138
-1338 1339 70
-1339 1340 119
-1340 1341 121
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-1344 1345 93
-1345 1346 96
-1346 577 96
-1347 580 95
-1348 1349 51
-1349 1350 48
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-1354 267 116
-1355 1356 116
-1356 1357 116
-1357 271 116
diff --git a/examples/lanl.py b/examples/lanl.py
deleted file mode 100644
index b2044b2f..00000000
--- a/examples/lanl.py
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/usr/bin/env python
-"""
-Routes to LANL from 186 sites on the Internet.
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-04-01 11:51:23 -0700 (Fri, 01 Apr 2005) $"
-__credits__ = """"""
-__revision__ = ""
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-import re
-import sys
-
-def lanl_graph():
- """ Return the lanl internet view graph from lanl.edges
- """
- try:
- fh=open("lanl.edges","r")
- except IOError:
- print "lanl.edges not found"
- raise
-
- G=Graph()
-
- time={}
- time[0]=0 # assign 0 to center node
- for line in fh.readlines():
- (head,tail,rtt)=line.split()
- G.add_edge(int(head),int(tail))
- time[int(head)]=float(rtt)
-
- # get largest component and assign ping times to G0time dictionary
- G0=connected_component_subgraphs(G)[0]
- G0.rtt={}
- for n in G0:
- G0.rtt[n]=time[n]
-
- return G0
-
-if __name__ == '__main__':
-
- from networkx import *
-
- G=lanl_graph()
-
-
- print "graph has %d nodes with %d edges"\
- %(number_of_nodes(G),number_of_edges(G))
- print number_connected_components(G),"connected components"
-
- # draw in radial layout with graphviz
- #pos=pydot_layout(G,prog="twopi",root=0)
- # draw_nx(G,pos,node_labels=False,node_size=10)
- # colored by rtt ping time
- #draw_nx(G,pos,node_color=G.rtt,node_labels=False,node_size=10)
diff --git a/examples/miles.dat b/examples/miles.dat
deleted file mode 100644
index 15738d33..00000000
--- a/examples/miles.dat
+++ /dev/null
@@ -1,701 +0,0 @@
-* File "miles.dat" from the Stanford GraphBase (C) 1993 Stanford University
-* Revised mileage data for highways in the United States and Canada, 1949
-* This file may be freely copied but please do not change it in any way!
-* (Checksum parameters 696,295999341)
-Youngstown, OH[4110,8065]115436
-Yankton, SD[4288,9739]12011
-966
-Yakima, WA[4660,12051]49826
-1513 2410
-Worcester, MA[4227,7180]161799
-2964 1520 604
-Wisconsin Dells, WI[4363,8977]2521
-1149 1817 481 595
-Winston-Salem, NC[3610,8025]131885
-927 729 2742 1289 494
-Winnipeg, MB[4988,9715]564473
-1611 686 1833 1446 550 1279
-Winchester, VA[3919,7816]20217
-1510 290 826 466 2641 1197 250
-Wilmington, NC[3424,7792]139238
-390 1823 214 1139 765 2956 1500 637
-Wilmington, DE[3975,7555]70195
-466 168 1618 430 934 299 2749 1305 345
-Williston, ND[4815,10362]13336
-1820 2027 1712 428 1813 888 2035 1061 663 1481
-Williamsport, PA[4125,7700]33401
-1718 172 567 201 1516 491 832 369 2647 1203 239
-Williamson, WV[3768,8228]5219
-504 1610 544 452 378 1408 240 724 843 2539 1071 353
-Wichita Falls, TX[3390,9849]94201
-1179 1500 1313 1574 1363 1432 1252 1246 1044 1848 1887 724 1284
-Wichita, KS[3769,9734]279835
-308 1002 1270 1068 1344 1360 1220 944 1192 748 1618 1774 416 1054
-Wheeling, WV[4007,8072]43070
-1017 1247 269 255 1513 327 589 203 1311 416 627 605 2442 998 85
-West Palm Beach, FL[2672,8005]63305
-1167 1550 1432 965 1249 2375 1160 718 1048 2175 760 1515 1459 3280 1794 1252
-Wenatchee, WA[4742,12032]17257
-3250 2390 1783 1948 2487 2595 1009 2697 2904 2589 1394 2690 1765 2912 117 1461
-2358
-Weed, CA[4142,12239]2879
-622 3229 2678 1842 1850 2717 2898 1473 2981 3128 2880 1858 2935 2213 3213 505
-1752 2659
-Waycross, GA[3122,8235]19371
-2947 2890 360 820 1192 1097 605 904 2015 828 386 703 1815 413 1155 1127
-2920 1434 899
-Wausau, WI[4496,8964]32426
-1240 2198 1725 1600 708 841 1138 805 913 848 1015 1222 907 646 1008 111
-1230 1777 509 676
-Waukegan, IL[4236,8783]67653
-244 1000 2260 1933 1360 468 757 1023 565 673 1056 775 982 667 854 768
-170 990 1985 551 436
-Watertown, SD[4490,9711]15649
-601 393 1549 1824 1351 1909 1058 572 880 1155 1263 534 1365 1572 1257 394
-1358 433 1580 1403 156 1026
-Watertown, NY[4398,7592]27861
-1366 776 1016 1128 2999 2698 1473 471 1404 1634 738 234 1795 358 791 425
-1574 715 935 302 2750 1306 386
-Waterloo, IA[4250,9234]75985
-1008 373 253 305 1178 2007 1714 1538 700 537 833 795 905 857 1007 1214
-899 658 1000 212 1222 1766 298 668
-Waterbury, CT[4155,7305]103266
-1190 278 1548 958 1198 1034 3164 2880 1366 512 1527 1757 750 285 2003 206
-672 373 1801 636 1117 98 2932 1488 522
-Washington, DC[3889,7703]638432
-315 962 434 1320 730 970 719 2936 2652 1051 268 1285 1489 435 210 1775
-109 357 73 1573 321 889 408 2704 1260 300
-Warren, PA[4185,7914]12146
-326 428 769 291 1127 537 777 976 2760 2459 1321 198 1165 1395 465 172
-1582 305 663 273 1380 563 696 490 2511 1067 118
-Walla Walla, WA[4607,11833]25618
-2452 2645 2873 1707 2691 1344 1926 1718 2796 500 238 3156 2383 1650 1763 2480
-2588 1002 2690 2897 2582 1387 2683 1758 2905 132 1454 2351
-Waco, TX[3155,9714]101261
-1958 1452 1484 1799 921 1703 1043 1096 1226 1005 2026 2152 1330 1287 471 204
-1174 1540 1507 1593 1308 1427 1415 1227 1132 1892 2082 887 1338
-Vincennes, IN[3868,8753]20857
-892 2120 572 692 934 463 811 836 278 518 722 2347 2176 1082 424 627
-854 375 677 1300 751 827 620 1101 615 433 1025 2228 727 461
-Victoria, TX[2881,9701]50695
-1031 223 2104 1593 1578 1893 1144 1842 1266 1257 1349 1038 2114 2334 1330 1428
-694 411 1288 1681 1707 1687 1366 1521 1638 1319 1351 1986 2228 1110 1479
-Vicksburg, MS[3235,9088]25434
-530 556 419 2274 1110 1067 1382 890 1361 1138 800 1000 586 2361 2457 921
-945 705 511 800 1198 1663 1176 889 1010 1494 808 908 1475 2398 1000 996
-Vancouver, BC[4927,12312]414281
-2675 2505 2422 2359 409 2705 2898 3126 1960 2944 1597 2179 1971 3136 710 246
-3496 2636 2029 2164 2733 2841 1255 2943 3150 2835 1640 2936 2011 3158 277 1707
-2604
-Valley City, ND[4692,9801]7774
-1518 1327 1461 943 1238 1265 1225 1418 1646 500 1464 195 699 491 1658 1745
-1272 2018 1156 767 1075 1253 1361 357 1463 1670 1355 278 1456 531 1678 1324
-351 1124
-Valdosta, GA[3083,8328]37596
-1648 3126 542 975 712 961 2773 1039 782 1097 1168 1191 1539 990 1230 63
-2903 2880 386 883 1164 1053 655 967 2005 891 449 766 1805 476 1145 1190
-2897 1424 962
-Utica, NY[4311,7523]75632
-1157 1461 2941 1358 1839 808 1700 2688 282 389 201 1005 83 1363 773 1013
-1094 2996 2695 1439 462 1401 1631 711 207 1818 283 746 391 1616 681 932
-225 2747 1303 383
-Uniontown, PA[3990,7973]14510
-417 862 1221 2701 1014 1497 493 1356 2448 189 207 458 765 444 1123 533
-773 799 2746 2455 1146 69 1086 1316 294 210 1578 267 524 134 1376 386
-692 551 2507 1063 116
-Tyler, TX[3235,9530]70508
-1222 1566 827 1229 2402 285 326 758 134 2001 1318 1350 1665 884 1569 1040
-980 1166 871 2088 2186 1206 1153 469 238 1040 1406 1537 1459 1174 1293 1396
-1093 1074 1758 2125 885 1204
-Twin Falls, ID[4256,11447]26209
-1583 2101 2351 2355 1105 819 1856 1686 1702 1540 418 2115 2291 2521 1367 2354
-1184 1620 1558 2378 645 648 2738 2033 1232 1345 2074 2253 888 2336 2483 2235
-1316 2290 1573 2568 542 1112 2014
-Tuscaloosa, AL[3321,8757]75211
-1998 524 820 1162 387 1356 2772 239 750 483 658 2416 943 828 1143 861
-1194 1207 750 950 415 2557 2526 773 778 807 707 561 972 1713 937 656
-771 1515 569 858 1236 2540 1069 829
-Tupelo, MS[3426,8871]23905
-126 1872 486 813 1157 483 1230 2646 230 744 380 620 2290 909 891 1206
-735 1160 1081 624 824 511 2486 2400 869 744 681 662 624 997 1587 1000
-747 834 1389 663 732 1299 2414 943 795
-Tulsa, OK[3616,9591]360919
-535 661 1415 343 1047 1362 1018 891 2219 522 603 585 380 1833 1126 1246
-1488 564 1365 702 754 869 1046 2003 1973 1404 978 190 269 960 1231 1227
-1305 1261 1181 1058 1106 775 1579 1957 564 1015
-Tucson, AZ[3222,11097]330537
-1065 1520 1565 1049 1064 2101 2416 1879 1664 1841 1337 1009 1642 962 1457 2180
-2300 2542 1552 2419 1521 1772 1822 1923 1131 1687 2258 2032 1015 858 2017 2285
-1571 2359 2221 2235 1915 2104 1763 2633 1581 1365 2069
-Trinidad, CO[3717,10451]9663
-707 561 1085 1170 882 701 1501 1816 1516 1003 1701 974 857 1046 667 1300
-1580 1700 1942 901 1819 860 1146 1161 1560 1470 1502 1895 1432 449 463 1421
-1685 922 1759 1809 1635 1254 1641 1113 2033 1424 704 1469
-Trenton, NJ[4023,7477]92124
-1807 2407 1353 1060 997 2384 1519 315 247 951 1511 2991 1236 1747 799 1653
-2738 354 169 146 1055 322 1413 823 1063 888 3029 2745 1220 375 1392 1622
-604 182 1868 60 526 228 1666 490 982 239 2797 1353 393
-Traverse City, MI[4476,8563]15516
-844 1439 2039 1021 881 952 1935 1247 561 731 1167 852 2370 1057 1524 501
-1363 2117 558 751 932 591 673 828 359 435 1177 2580 2124 1537 496 1024
-1290 643 697 1170 796 1053 695 949 841 518 956 2176 889 460
-Toronto, ON[4365,7938]599217
-435 460 1620 2220 1180 1006 1053 2116 1380 373 296 1200 1228 2708 1182 1657
-626 1514 2455 195 509 497 772 238 1130 540 780 1159 2761 2462 1504 373
-1205 1449 640 306 1557 478 846 456 1336 746 699 521 2514 1070 288
-Topeka, KS[3905,9567]115266
-1051 870 1238 586 1186 232 647 773 1239 575 932 1247 1130 659 2032 701
-835 477 612 1657 1011 1131 1373 374 1250 470 603 679 1153 1884 1786 1513
-863 171 479 852 1116 995 1190 1258 1066 826 1072 585 1464 1781 332 900
-Toledo, OH[4165,8354]354635
-775 287 290 554 1344 1944 893 719 766 1848 1093 271 504 913 960 2440
-895 1370 339 1227 2187 268 461 686 504 507 862 272 512 923 2493 2194
-1283 206 929 1162 358 407 1317 506 768 405 1115 556 431 721 2246 802
-170
-Texarkana, TX[3343,9405]31271
-957 534 1244 1111 1383 740 1135 314 385 431 1622 136 1086 1430 782 1180
-2441 240 418 622 270 2040 1182 1214 1529 802 1433 991 844 1030 826 2127
-2225 1161 1017 465 277 904 1270 1516 1323 1086 1157 1347 971 938 1622 2164
-853 1068
-Terre Haute, IN[3947,8741]61125
-671 291 487 578 443 751 1056 1656 602 438 541 1684 807 445 760 770
-904 2383 614 1084 58 941 2102 524 644 886 429 763 797 225 465 780
-2329 2137 1140 376 641 871 415 629 1261 703 822 579 1062 633 384 977
-2189 694 413
-Tampa, FL[2795,8245]271523
-1003 981 1146 1354 1414 1400 1130 1715 2078 1242 707 589 2579 1026 1056 1349
-233 1881 3353 741 1144 945 1144 2997 1231 961 1276 1401 1383 1772 1223 1463
-264 3012 3107 217 1077 1388 1252 869 1159 2238 1070 628 958 2038 670 1375
-1369 3121 1650 1162
-Tallahassee, FL[3045,8428]81548
-245 796 736 939 1109 1226 1193 1033 1470 1833 997 462 344 2334 781 919
-1232 82 1674 3108 496 899 738 899 2752 1108 864 1179 1184 1266 1543 1016
-1256 145 2857 2862 431 919 1143 1007 688 1042 2031 973 531 841 1831 554
-1171 1272 2876 1405 1001
-Tacoma, WA[4724,12243]158501
-3014 3259 2295 2302 2352 1919 2620 2282 2903 1562 1666 2095 2552 2678 680 2263
-2613 2853 3035 1430 175 2536 2366 2334 2220 270 2617 2810 3038 1872 2856 1509
-2091 1883 3048 535 183 3408 2548 1912 2025 2645 2753 1167 2855 3062 2747 1552
-2848 1923 3070 138 1619 2516
-Syracuse, NY[4305,7615]170105
-2802 1195 1312 709 1379 453 1196 249 684 251 1765 2365 1311 1106 1125 2300
-1515 373 51 1120 1410 2890 1307 1788 757 1649 2637 231 363 248 954 71
-1312 722 962 1057 2945 2644 1402 417 1350 1580 667 163 1767 287 720 354
-1565 644 881 272 2696 1252 332
-Swainsboro, GA[3260,8234]7602
-952 2986 250 369 714 819 821 1091 1054 1075 791 1552 1916 1002 479 388
-2316 864 694 989 168 1596 3074 579 1090 656 998 2734 871 622 937 1116
-1023 1487 927 1167 105 2940 2828 465 715 1158 1090 500 799 1953 731 344
-598 1749 308 1086 1030 2858 1372 794
-Sumter, SC[3392,8035]24890
-187 805 2969 410 507 715 929 732 1151 907 1017 624 1654 2064 1104 590
-499 2376 1017 557 842 328 1577 3057 732 1243 674 1151 2794 724 455 770
-1117 876 1479 889 1129 265 3021 2811 597 592 1250 1206 416 652 1932 564
-157 451 1732 185 1059 863 2863 1393 665
-Stroudsburg, PA[4099,7519]5148
-666 829 182 2871 1072 1172 744 1388 525 1231 391 815 69 1800 2400 1346
-1065 1002 2371 1524 316 178 993 1479 2959 1241 1752 792 1658 2706 290 211
-167 1023 253 1381 791 1031 930 3016 2713 1262 371 1385 1615 609 124 1836
-105 568 231 1634 521 950 255 2765 1321 357
-Stockton, CA[3796,12129]149779
-2909 2793 2678 2838 818 2595 2840 2222 1865 2386 1777 2654 2473 2922 1329 848
-1745 2224 2295 637 1826 2639 2889 2641 1742 993 2099 1831 2240 1764 783 2653
-2829 3057 1923 2892 1777 2168 2157 2685 283 905 3020 2571 1674 1588 2610 2791
-1525 2874 2950 2773 1953 2795 2135 3106 788 1675 2552
-Stevens Point, WI[4452,8957]22970
-2174 998 1096 1134 929 1900 1223 1430 432 997 479 646 747 462 1030 1166
-1824 836 791 917 1575 1133 740 980 1197 508 1988 967 1382 485 1193 1735
-744 937 1165 272 983 410 211 33 1207 2215 1742 1567 675 809 1105 772
-880 865 982 1189 874 663 975 78 1197 1794 523 643
-Steubenville, OH[4036,8062]26400
-675 2567 356 614 740 392 2548 944 1102 391 1032 206 878 348 496 365
-1447 2047 993 759 793 2029 1168 72 443 908 1156 2636 960 1443 439 1302
-2383 173 272 500 700 446 1058 468 708 845 2674 2390 1192 25 1032 1262
-294 238 1513 317 589 206 1311 441 627 593 2442 998 60
-Sterling, CO[4062,10322]11385
-1308 933 1299 1650 1633 1573 1579 1441 1591 1836 952 927 1127 488 1395 1214
-1663 278 977 675 1129 1255 761 889 1375 1630 1612 727 1580 1149 1045 959
-855 1179 1394 1570 1798 664 1633 596 909 922 1635 1406 1338 1995 1306 485
-651 1334 1532 662 1615 1740 1509 990 1554 876 1847 1303 440 1293
-Staunton, VA[3815,7907]21857
-1525 266 914 2790 324 367 505 447 2787 748 867 595 1064 454 1082 549
-744 319 1651 2197 1193 741 678 2252 1200 210 484 673 1395 2875 917 1428
-608 1334 2622 366 150 465 939 518 1297 707 944 610 2897 2629 957 248
-1235 1339 285 294 1752 259 350 93 1550 197 866 558 2681 1237 326
-Springfield, OH[3992,8381]72563
-401 1132 189 532 2397 542 624 694 514 2405 812 1019 202 868 127 689
-414 412 549 1258 1858 804 600 639 1859 1004 243 565 786 1013 2493 796
-1279 250 1138 2240 325 442 684 557 568 915 325 565 799 2504 2247 1156
-174 843 1073 250 427 1370 501 660 377 1168 448 484 777 2299 855 211
-Springfield, MO[3722,9329]133116
-607 996 726 796 695 1942 1149 972 880 1114 2149 865 1110 405 374 696
-244 983 824 1156 727 1262 199 403 529 1469 471 850 1165 886 867 2243
-460 762 388 539 1887 929 1049 1291 454 1168 678 557 728 914 2114 1997
-1272 781 278 468 763 1034 1203 1108 1082 984 1034 914 622 1382 2011 540
-818
-Springfield, MA[4210,7259]152319
-1336 735 516 1803 551 1151 3062 208 821 988 228 3026 1230 1327 937 1580
-677 1420 475 910 197 1989 2589 1535 1257 1194 2524 1716 509 181 1148 1634
-3114 1433 1944 979 1850 2861 450 366 56 1176 258 1531 944 1184 1085 3169
-2868 1417 563 1574 1804 801 322 1991 257 723 424 1787 687 1103 50 2920
-1474 556
-Springfield, IL[3980,8965]100054
-1053 335 323 716 809 512 375 2088 865 842 821 829 2178 885 1106 143
-622 394 381 670 489 872 950 1550 532 438 564 1550 758 566 880 873
-793 2266 614 1035 168 874 1967 644 765 1007 310 883 683 222 408 883
-2194 2020 1243 497 535 801 536 750 1150 824 949 700 951 754 316 1097
-2072 559 534
-Spokane, WA[4767,11741]171300
-1853 2701 1830 2080 2462 1171 2223 1575 914 2546 2644 2661 2477 325 2695 2940
-1970 2058 2027 1619 2295 1957 2578 1335 1563 1806 2233 2359 538 2019 2288 2528
-2713 1105 413 2290 2175 2009 1985 160 2292 2485 2713 1547 2531 1184 1766 1558
-2723 660 167 3083 2223 1616 1781 2320 2428 842 2530 2737 2422 1227 2523 1598
-2745 219 1294 2191
-South Bend, IN[4168,8625]109727
-1881 257 824 591 211 593 983 346 333 2242 667 803 831 598 2206 938
-1145 188 859 148 638 414 260 700 1207 1807 788 626 705 1704 995 411
-649 912 814 2294 802 1272 246 1129 2041 413 607 834 358 650 716 126
-366 922 2349 2048 1282 354 792 1057 451 549 1171 652 866 545 969 654
-285 868 2100 656 312
-Sioux Falls, SD[4354,9673]81343
-640 1278 580 1460 561 839 1221 522 982 441 1745 1305 1399 1393 1236 1603
-1426 1671 715 874 786 353 1054 862 1337 786 1447 585 964 1090 1182 923
-1047 1287 1445 312 1691 1021 1165 748 942 1438 1051 1244 1472 289 1290 117
-535 427 1455 1822 1445 1815 982 471 779 1077 1187 647 1289 1496 1181 489
-1282 399 1504 1497 82 950
-Sioux City, IA[4249,9639]82003
-88 589 1361 492 1407 473 788 1170 464 931 475 1699 1254 1326 1305 1185
-1686 1338 1583 627 786 735 265 1003 822 1286 703 1364 497 876 1002 1136
-835 996 1236 1357 394 1774 933 1077 660 854 1521 1000 1193 1421 231 1239
-205 484 458 1367 1776 1528 1727 931 383 691 1004 1136 730 1238 1433 1130
-561 1222 437 1453 1580 67 899
-Shreveport, LA[3251,9375]205820
-859 947 915 2106 678 1619 434 922 1103 976 1086 1053 1913 1427 918 765
-1431 2350 682 927 727 73 1013 607 1300 1167 1422 788 1151 386 387 425
-1670 99 1140 1482 728 1253 2489 186 357 674 233 2088 1236 1253 1568 875
-1485 1064 900 1086 772 2175 2273 1107 1071 528 325 958 1324 1589 1362 1075
-1196 1420 994 994 1661 2212 926 1122
-Sherman, TX[3364,9661]30413
-216 709 797 967 1898 711 1712 376 983 1224 768 1172 1030 1705 1525 1089
-979 1490 2142 896 1141 781 160 1072 449 1359 1200 1532 580 975 217 545
-591 1462 135 1226 1541 942 1103 2281 400 386 764 163 1880 1305 1374 1667
-758 1544 914 933 1063 986 1967 2065 1321 1157 343 117 1064 1410 1411 1483
-1246 1317 1270 1131 969 1758 2004 759 1194
-Sheridan, WY[4480,10696]15146
-1218 1425 693 635 1275 704 1180 2095 1133 1474 1856 470 1617 1028 1291 1940
-2019 1980 1871 1029 1998 2243 1320 1362 1421 915 1689 1446 1972 661 1238 1102
-1536 1662 660 1339 1682 1922 2019 676 1117 1593 1495 1348 1305 864 1686 1879
-2107 924 1925 618 1170 1011 2042 1300 871 2402 1617 912 1101 1692 1822 502
-1924 2121 1816 903 1910 1034 2139 923 651 1585
-Seminole, OK[3523,9668]8590
-1113 127 312 582 670 883 1814 627 1628 292 899 1218 678 1088 931 1688
-1441 1123 1021 1406 2083 985 1230 697 249 988 327 1275 1116 1448 549 1008
-95 554 679 1403 253 1142 1457 1031 976 2222 489 513 680 290 1821 1221
-1341 1583 659 1460 787 849 964 1065 1950 1981 1410 1073 216 180 1055 1326
-1284 1400 1280 1276 1143 1125 870 1674 1945 632 1110
-Selma, AL[3242,8702]26684
-745 1747 656 442 1087 1174 760 2444 649 1237 614 682 721 1340 836 1002
-2355 1045 476 323 1168 2763 259 504 596 496 809 858 1096 1007 1040 1230
-1593 746 211 85 2083 541 863 1205 302 1441 2857 256 767 538 675 2501
-986 871 1186 946 1214 1291 816 1035 330 2617 2611 688 821 892 767 604
-1015 1798 980 633 814 1600 565 943 1279 2625 1154 872
-Sedalia, MO[3871,9323]20927
-710 393 1046 477 549 386 474 513 1743 257 1289 115 558 951 639 747
-593 1920 1100 999 934 1065 2062 961 1206 356 489 647 157 927 746 1107
-726 1309 298 499 625 1382 586 801 1116 982 768 2156 575 863 345 640
-1800 880 1000 1242 339 1119 582 479 626 996 2027 1910 1356 732 294 567
-720 985 1116 1059 1106 935 936 938 515 1333 1924 453 769
-Seattle, WA[4760,12233]493846
-2038 2739 2093 999 2152 2360 1656 1573 2176 295 2148 2996 2125 2375 2757 1451
-2518 1870 848 2841 2939 2956 2772 30 2990 3235 2265 2312 2322 1914 2590 2252
-2873 1572 1696 2101 2528 2654 690 2273 2583 2823 3008 1400 145 2546 2376 2304
-2230 280 2587 2780 3008 1842 2826 1479 2061 1853 3018 565 153 3378 2518 1911
-2035 2615 2723 1137 2825 3032 2717 1522 2818 1893 3040 148 1589 2486
-Scranton, PA[4141,7567]88117
-2816 1078 1054 1419 1915 1503 1417 1229 1280 642 2521 843 229 1127 520 333
-1625 331 973 2884 42 691 838 140 2846 1081 1198 722 1363 500 1209 349
-784 111 1778 2378 1324 1074 1011 2346 1499 303 154 1006 1454 2934 1250 1761
-770 1633 2681 248 248 192 998 211 1356 766 1006 943 2991 2688 1288 346
-1363 1593 597 93 1811 147 605 240 1609 530 925 276 2740 1296 332
-Scottsbluff, NE[4187,10366]14156
-1666 1343 702 1403 769 344 885 1081 483 529 1024 1048 869 1844 789 1179
-1572 126 1349 958 1262 1691 1696 1636 1620 1373 1654 1899 1004 1018 1168 571
-1436 1255 1704 404 1073 758 1192 1318 724 1011 1421 1671 1675 657 1461 1249
-1171 1022 981 1142 1435 1611 1839 705 1674 561 950 941 1698 1369 1215 2058
-1353 568 777 1392 1573 566 1656 1803 1555 919 1610 917 1888 1266 459 1334
-Schenectady, NY[4282,7395]67972
-1742 191 2894 1187 1220 1528 1993 1612 1553 1307 1358 720 2599 951 106 1236
-636 499 1701 485 1051 2960 175 841 1004 126 2924 1247 1347 831 1501 575
-1318 374 809 217 1887 2487 1433 1228 1177 2422 1637 457 78 1168 1532 3012
-1416 1910 879 1771 2759 344 386 126 1076 152 1434 844 1084 1105 3067 2766
-1437 502 1472 1702 751 247 1889 277 743 406 1687 696 1003 150 2818 1374
-454
-Savannah, GA[3208,8109]141634
-996 1726 847 3034 1024 413 1111 2070 1069 855 1395 1483 898 2739 911 976
-970 754 516 1663 751 1191 2768 821 156 94 961 3064 254 351 808 909
-866 1181 1063 1132 779 1642 2006 1092 569 478 2406 954 705 998 172 1672
-3152 669 1147 750 1088 2824 880 610 925 1206 1032 1574 984 1224 109 3030
-2906 441 726 1248 1180 550 808 2029 719 277 607 1827 319 1143 1018 2948
-1462 811
-Sault Sainte Marie, MI[4649,8435]14448
-1268 899 1293 874 2142 903 1147 1258 1355 1357 1310 810 779 400 1847 646
-1000 981 539 866 1265 618 379 2484 916 1144 1211 774 2172 1329 1536 583
-1254 412 973 525 170 966 1502 2151 1163 1021 1092 1847 1390 683 821 1303
-742 2260 1197 1667 641 1520 2007 680 863 1022 607 763 737 454 352 1313
-2487 2014 1673 618 1136 1432 770 819 1060 918 1180 817 839 968 423 1046
-2066 861 582
-Sarasota, FL[2734,8253]48868
-1589 404 1397 1952 1251 3288 1259 557 1283 2296 1194 980 1636 1724 1198 2993
-1159 1380 1163 1072 920 1889 1155 1483 2893 1225 560 422 1365 3312 298 53
-1056 1034 1199 1407 1467 1453 1183 1768 2131 1295 760 642 2632 1079 1109 1402
-286 1934 3406 794 1197 998 1197 3050 1284 1014 1329 1454 1436 1825 1276 1516
-317 3065 3160 198 1130 1441 1305 922 1212 2291 1123 681 1011 2091 723 1428
-1422 3174 1703 1215
-Santa Rosa, CA[3844,12272]83320
-3010 2547 2885 3023 1325 2947 876 1983 2472 1805 1354 1822 2030 1762 1808 2305
-945 2151 3125 2050 2460 2853 1362 2630 2237 126 2972 2910 2795 2901 846 2712
-2957 2285 1982 2449 1840 2717 2536 2985 1400 965 1862 2341 2412 700 1943 2702
-2952 2758 1805 1021 2216 1948 2303 1881 814 2716 2892 3120 1986 2955 1840 2231
-2220 2802 314 936 3137 2634 1772 1705 2673 2854 1588 2937 3067 2836 2016 2891
-2198 3169 819 1738 2615
-Santa Fe, NM[3568,10595]48953
-1254 1810 1695 1685 2063 590 1954 1549 885 1272 605 827 622 830 896 979
-1383 1370 1126 2165 841 1434 1805 471 1623 1359 1137 1976 1710 1595 1941 1539
-1512 1757 1232 782 1520 762 1796 1615 1983 193 523 662 1141 1212 859 743
-1677 1992 1558 1196 1678 1016 827 1218 681 1277 1756 1876 2118 1094 1995 1053
-1339 1354 1602 1399 1507 1937 1608 591 505 1593 1861 1088 1935 1867 1811 1447
-1712 1306 2209 1401 897 1645
-Santa Barbara, CA[3442,11970]74414
-953 396 2709 2612 2584 2962 1365 2853 1199 1784 2171 1504 1394 1521 1732 1802
-1848 2282 1265 2025 3064 1758 2333 2704 1371 2522 2277 366 2875 2609 2494 2840
-1169 2411 2656 2131 1681 2419 1661 2695 2514 2882 1146 607 1561 2040 2111 871
-1642 2576 2891 2457 1938 1344 1915 1590 2117 1543 1134 2655 2775 3017 2026 2894
-1880 2247 2260 2501 634 1256 2836 2507 1490 1407 2492 2760 1759 2834 2766 2710
-2165 2611 2238 3108 1139 1778 2544
-Santa Ana, CA[3376,11787]204023
-128 850 489 2606 2518 2481 2859 1271 2750 1220 1681 2068 1401 1300 1418 1626
-1708 1754 2179 1286 1922 2961 1655 2230 2601 1277 2419 2183 372 2772 2506 2391
-2737 1190 2308 2553 2028 1578 2316 1558 2592 2411 2779 1043 504 1458 1937 2008
-843 1539 2473 2788 2354 1844 1365 1812 1487 2014 1440 1144 2552 2672 2914 1924
-2791 1786 2144 2166 2398 655 1277 2733 2404 1387 1301 2389 2657 1670 2731 2663
-2607 2071 2508 2135 3005 1160 1684 2441
-San Jose, CA[3734,12188]629546
-395 294 1160 102 2916 2564 2791 3040 1342 2964 905 1991 2378 1711 1371 1728
-1936 1779 1825 2322 971 2168 3142 1965 2477 2870 1379 2647 2254 80 2989 2816
-2701 2918 875 2618 2863 2302 1888 2466 1857 2734 2553 3002 1353 871 1768 2247
-2318 717 1849 2719 2969 2664 1822 1050 2122 1854 2320 1787 840 2733 2909 3137
-2003 2972 1857 2248 2237 2708 340 962 3043 2651 1697 1611 2690 2871 1605 2954
-2973 2853 2033 2818 2215 3186 845 1755 2632
-San Francisco, CA[3778,12242]678974
-47 434 341 1199 55 2955 2538 2830 3014 1316 2938 870 1974 2417 1750 1345
-1767 1975 1753 1799 2296 936 2142 3116 2004 2451 2844 1353 2621 2228 84 2963
-2855 2740 2892 840 2657 2902 2276 1927 2440 1831 2708 2527 2976 1391 910 1807
-2286 2357 691 1888 2693 2943 2703 1796 1015 2161 1893 2294 1826 805 2707 2883
-3111 1977 2946 1831 2222 2211 2747 305 927 3082 2625 1736 1650 2664 2845 1579
-2928 3012 2827 2007 2857 2189 3160 810 1729 2606
-Sandusky, OH[4145,8271]31360
-2493 2519 2341 2444 1545 2502 1198 466 840 521 1221 456 2373 669 809 1010
-1472 1094 1035 786 837 201 2078 433 627 718 128 410 1180 162 530 2439
-481 706 815 399 2403 938 1145 313 980 54 800 341 344 511 1369 1969
-915 728 766 1901 1116 227 450 912 1011 2491 917 1392 361 1250 2238 214
-417 642 555 453 913 323 563 920 2546 2245 1280 162 954 1184 332 363
-1368 463 742 361 1166 530 482 667 2297 853 125
-San Diego, CA[3271,11715]875538
-2355 524 485 90 213 877 579 2554 2537 2429 2873 1347 2764 1310 1695 2016
-1415 1376 1398 1574 1750 1830 2193 1376 1936 2975 1651 2244 2615 1318 2433 2210
-462 2786 2487 2339 2751 1280 2256 2501 2042 1558 2330 1572 2606 2425 2793 1070
-423 1472 1943 1988 919 1487 2487 2802 2302 1920 1455 1760 1432 2028 1385 1227
-2566 2686 2928 1938 2805 1862 2158 2208 2346 745 1367 2681 2418 1401 1281 2403
-2671 1746 2745 2644 2621 2147 2522 2149 3019 1250 1751 2455
-San Bernardino, CA[3411,11731]118794
-130 2297 450 411 54 152 806 505 2562 2464 2437 2815 1217 2706 1236 1637
-2024 1357 1246 1374 1582 1654 1700 2135 1257 1878 2917 1611 2186 2557 1223 2375
-2129 388 2728 2462 2347 2693 1206 2264 2509 1984 1534 2272 1514 2548 2367 2735
-999 460 1414 1893 1964 789 1495 2429 2744 2310 1790 1381 1768 1443 1970 1396
-1097 2508 2628 2870 1878 2747 1732 2100 2112 2354 671 1293 2689 2360 1343 1257
-2345 2613 1616 2687 2619 2563 2017 2464 2090 2961 1176 1630 2397
-San Antonio, TX[2942,9850]786023
-1330 1319 1412 1780 1741 1374 1477 728 1835 1272 1659 1222 1933 1073 1795 2277
-821 832 471 1397 344 390 1030 1118 1291 2077 1054 2009 720 1300 1493 947
-1464 1340 1718 1817 1308 1155 1811 2267 974 1219 1103 432 1389 793 1676 1543
-1812 759 896 561 777 815 1587 314 1518 1862 1050 1414 2406 576 113 1054
-181 2005 1614 1643 1958 1102 1865 1219 1276 1307 1113 2001 2235 1405 1449 647
-339 1336 1702 1609 1752 1441 1586 1591 1384 1313 2051 2129 1063 1500
-San Angelo, TX[3146,10044]73240
-218 1168 1157 1418 1618 1579 1212 1315 510 1673 1425 1666 1308 1936 869 1818
-2059 801 895 414 1193 326 453 925 1013 1291 1873 1035 2035 700 1307 1519
-743 1487 1339 1556 1843 1371 1218 1814 2049 1127 1372 1105 455 1396 713 1683
-1524 1838 555 734 503 840 878 1369 354 1541 1865 1181 1309 2188 639 331
-1073 228 1787 1629 1669 1984 1067 1868 1114 1257 1372 1225 1839 2017 1558 1472
-542 234 1359 1725 1405 1778 1528 1612 1486 1426 1278 2077 1911 958 1518
-Salt Lake City, UT[4076,11188]163697
-1133 1351 681 811 1731 762 788 735 829 623 771 2414 1801 2236 2252 554
-2176 926 1212 1876 1167 583 1226 1434 991 1037 1534 747 1380 2354 1296 1689
-2082 591 1859 1466 708 2201 2206 2146 2130 916 2116 2361 1514 1386 1678 1069
-1946 1765 2214 646 816 1179 1699 1816 236 1347 1931 2181 2162 1127 1055 1620
-1450 1532 1304 654 1945 2121 2349 1215 2184 1069 1460 1449 2206 832 884 2540
-1863 1018 1109 1902 2083 935 2166 2313 2065 1354 2120 1427 2398 778 967 1844
-Salisbury, MD[3837,7560]16429
-2269 1832 1773 2787 2845 565 3031 3057 2831 2934 2035 3040 1045 1021 641 377
-1759 250 2928 1159 950 1500 2027 1537 1383 1341 1392 755 2633 924 360 1208
-601 346 1718 420 1085 2977 208 486 661 390 2958 895 992 803 1377 609
-1290 581 899 163 1858 2459 1405 1049 958 2439 1482 358 386 813 1566 3046
-1197 1708 851 1616 2793 408 196 309 1110 461 1468 878 1118 750 3084 2800
-1082 427 1444 1652 631 275 1923 103 388 255 1721 406 1037 402 2852 1408
-448
-Salinas, CA[3667,12165]80479
-3104 846 1542 1704 374 448 2577 105 58 358 236 1123 160 2879 2622 2754
-3098 1400 3022 963 1954 2341 1674 1429 1691 1899 1837 1883 2380 1029 2195 3200
-1928 2503 2874 1437 2692 2312 138 3045 2779 2664 2976 933 2581 2826 2301 1851
-2524 1831 2792 2611 3052 1316 834 1731 2210 2281 775 1812 2746 3027 2627 1880
-1108 2085 1817 2287 1750 898 2791 2945 3187 2061 3030 1915 2306 2295 2671 398
-1020 3006 2677 1660 1574 2662 2929 1663 3004 2936 2880 2091 2781 2273 3244 903
-1813 2690
-Salina, KS[3884,9761]41843
-1715 1407 977 629 734 1398 1456 917 1739 1752 1442 1545 646 1748 1516 1084
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-552 892 123 1168 987 1355 467 1070 277 756 882 1149 556 1049 1364 1239
-680 1942 792 781 594 558 1567 1128 1248 1490 485 1367 485 720 774 1267
-1794 1696 1625 980 87 395 969 1233 981 1307 1375 1183 877 1189 696 1581
-1691 329 1017
-Salida, CO[3853,10600]44870
-527 1293 1918 489 712 916 976 1047 1427 1234 1252 1020 1123 227 1243 1925
-1526 1771 1945 367 1837 1415 799 1387 678 604 737 945 727 793 1242 1178
-995 2047 807 1317 1710 271 1506 1197 1172 1859 1779 1681 1823 1405 1627 1872
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-1673 998 1544 1131 1014 1119 824 1143 1639 1759 2001 925 1877 867 1170 1185
-1717 1313 1345 2052 1491 529 620 1494 1744 865 1818 1889 1694 1238 1714 1137
-2091 1267 711 1528
-Salem, OR[4494,12303]89233
-1328 1752 722 3042 839 1972 2190 995 1069 2504 629 664 979 958 1462 635
-3235 2279 3009 3025 1327 2949 241 1985 2686 2006 1136 2065 2273 1734 1710 2307
-432 2152 3127 2072 2462 2855 1364 2632 2007 607 2974 2979 2919 2903 211 2937
-3182 2287 2225 2450 1842 2719 2389 2987 1485 1455 2018 2475 2601 603 2186 2704
-2954 2958 1537 386 2459 2289 2305 2143 295 2718 2894 3122 1965 2957 1616 2198
-1990 2981 324 353 3341 2636 1835 1948 2675 2856 1274 2939 3086 2838 1659 2893
-2030 3171 236 1710 2617
-Saint Paul, MN[4495,9310]270230
-1807 1002 591 2112 1258 1266 1200 1249 1929 2025 703 2028 2054 1983 2077 1171
-2037 1629 535 1366 1224 758 1146 1670 486 1137 806 828 905 1022 275 244
-506 1375 488 1326 601 705 1087 739 848 200 1974 1171 1269 1291 1102 1700
-1369 1576 599 949 652 521 920 618 1203 978 1639 711 926 1052 1375 1031
-913 1153 1343 308 1788 1061 1291 638 1068 1535 917 1110 1338 195 1156 210
-391 183 1353 2015 1542 1713 848 658 966 945 1053 665 1155 1362 1047 463
-1148 223 1370 1594 326 816
-Saint Louis, MO[3862,9019]453085
-567 2152 966 441 2134 973 1379 935 952 1817 1875 483 2141 2167 1861 1964
-1065 2150 1105 748 857 1001 869 892 2194 192 575 527 1213 611 576 538
-626 358 1899 102 1103 235 372 761 806 561 477 2087 914 827 767 879
-2224 811 1052 170 520 461 324 748 591 921 893 1489 432 364 490 1549
-656 615 930 819 868 2312 530 933 153 774 1967 694 814 1056 373 933
-739 324 510 829 2194 2066 1189 546 474 701 528 799 1225 873 934 749
-1030 748 418 1147 2091 605 583
-Saint Joseph, MO[3977,9484]76691
-309 436 1852 691 196 1911 1227 1079 798 840 1594 1652 736 1841 1867 1638
-1741 842 1850 1390 888 1166 1254 569 1146 1898 142 841 397 911 496 613
-246 334 559 1603 304 1356 227 626 1019 506 815 561 1787 1168 1134 1076
-1132 1928 1092 1337 446 540 697 85 973 792 1175 663 1266 302 630 756
-1249 622 869 1183 1113 640 2016 687 882 462 659 1667 948 1068 1310 289
-1186 451 525 594 1138 1894 1770 1498 800 256 564 835 1053 976 1127 1241
-1003 807 1057 500 1400 1791 313 837
-Saint Joseph, MI[4210,8648]9622
-562 361 509 2308 1245 757 2381 789 1535 1294 1313 2137 2195 230 2297 2323
-2181 2284 1385 2306 1242 387 932 751 1025 675 2179 516 786 886 1278 970
-937 592 643 44 1884 259 853 594 245 627 984 379 336 2243 700 837
-875 629 2209 982 1189 213 881 182 640 416 230 734 1209 1809 791 651
-731 1705 1017 444 680 956 817 2297 827 1294 271 1133 2044 444 641 862
-361 654 719 129 369 966 2350 2051 1326 388 794 1060 485 582 1174 686
-902 578 972 688 288 897 2103 659 343
-Saint Johnsbury, VT[4442,7202]7150
-910 1442 1189 1412 3213 2133 1623 3286 547 2440 2124 2121 3003 3061 709 3202
-3228 3047 3150 2251 3211 1467 1019 1163 193 1930 380 3082 1375 1404 1716 2181
-1800 1741 1495 1546 906 2787 1139 190 1424 824 683 1889 678 1239 3148 359
-1008 1175 310 3112 1417 1414 1019 1689 763 1506 494 929 384 2075 2675 1621
-1416 1361 2610 1825 650 259 1335 1720 3200 1600 2098 1067 1959 2947 534 553
-241 1264 293 1622 1032 1272 1272 3255 2954 1604 695 1660 1890 944 440 2051
-444 910 590 1830 874 1191 188 3006 1562 642
-Saint Cloud, MN[4557,9417]42566
-1487 584 490 639 75 1766 1010 599 2084 1333 1238 1208 1313 1901 2031 778
-2000 2026 1955 2049 1179 2009 1701 568 1439 1299 730 1221 1629 555 1209 865
-787 974 1091 283 223 581 1334 560 1401 670 780 1162 745 923 275 1946
-1246 1344 1363 1177 1659 1441 1648 671 1018 727 548 995 664 1278 986 1647
-780 998 1124 1334 1100 988 1228 1415 233 1747 1130 1360 710 1137 1494 992
-1185 1413 267 1231 169 466 258 1425 1974 1501 1785 923 666 974 1020 1128
-590 1230 1437 1122 392 1223 298 1445 1553 305 891
-Saint Augustine, FL[2989,8132]11985
-1540 1359 1081 1253 944 1468 3096 1821 1382 2775 837 2310 1327 1174 2458 2450
-1035 2851 2812 2502 2605 1706 2906 236 1428 196 1192 1813 1043 3133 1111 445
-1179 2157 1090 876 1482 1570 1037 2838 998 1172 1029 911 712 1750 947 1322
-2789 1017 352 220 1157 3163 200 183 895 930 1038 1268 1259 1292 975 1664
-2027 1161 626 530 2493 975 901 1194 155 1773 3251 690 1099 837 1099 2911
-1076 806 1121 1293 1228 1664 1115 1355 115 3051 3005 245 922 1307 1201 720
-1004 2130 915 473 803 1930 515 1270 1214 3035 1549 1007
-Saginaw, MI[4343,8394]77508
-1178 766 779 187 749 548 696 2495 1432 944 2568 749 1722 1481 1485 2324
-2382 194 2484 2510 2368 2471 1572 2493 1339 272 1006 659 1212 634 2366 703
-926 1073 1465 1157 1109 779 830 205 2071 446 760 781 267 594 1171 346
-523 2430 665 872 961 534 2396 1079 1286 387 1053 140 827 285 150 694
-1396 1996 978 815 871 1892 1189 411 581 1053 999 2484 991 1466 435 1320
-2231 408 601 782 548 523 906 316 556 1063 2537 2238 1423 346 981 1247
-498 547 1272 646 908 545 1051 696 475 806 2290 846 310
-Sacramento, CA[3859,12149]275741
-2390 2836 1906 3108 2203 1747 2047 1934 560 1140 1645 185 2937 668 1603 1765
-435 509 2399 94 127 419 413 1184 103 2940 2444 2815 2920 1222 2844 801
-1880 2402 1735 1251 1752 1960 1659 1705 2202 867 2048 3022 1947 2357 2750 1259
-2527 2134 47 2869 2840 2725 2798 771 2642 2887 2182 1912 2346 1737 2614 2433
-2882 1297 895 1792 2271 2342 597 1873 2599 2849 2688 1702 946 2146 1878 2200
-1811 736 2613 2789 3017 1883 2852 1737 2128 2117 2732 236 858 3067 2531 1669
-1635 2570 2751 1485 2834 2981 2733 1913 2788 2095 3066 741 1635 2512
-Rutland, VT[4361,7297]18436
-3005 737 1273 1384 103 836 1339 1086 1309 3110 2030 1520 3183 458 2337 2021
-2018 2900 2958 606 3099 3125 2944 3047 2148 3108 1478 977 1077 90 1827 277
-2979 1272 1301 1613 2078 1697 1638 1392 1443 805 2684 1036 134 1321 721 580
-1786 575 1136 3045 256 922 1085 207 3009 1328 1428 916 1586 660 1403 452
-887 298 1972 2572 1518 1313 1258 2507 1722 547 156 1249 1617 3097 1497 1995
-964 1856 2844 431 467 168 1161 224 1519 929 1169 1186 3152 2851 1518 592
-1557 1787 841 337 1974 358 824 487 1772 777 1088 135 2903 1459 539
-Roswell, NM[3340,10453]39676
-2114 1313 1566 1567 1217 2217 1379 836 1028 1209 1658 423 640 1252 2001 819
-320 538 902 892 1511 1328 1289 946 1049 196 1383 1671 1721 1546 2029 727
-1920 1745 879 1133 539 984 506 691 934 1017 1377 1566 1120 2129 793 1400
-1728 601 1589 1394 1266 1942 1595 1456 1907 1735 1373 1618 1198 666 1489 756
-1776 1609 1949 323 469 596 1051 1096 1055 604 1643 1958 1419 1234 1874 877
-651 1181 515 1473 1722 1842 2084 1122 1961 1091 1342 1392 1463 1528 1703 1798
-1574 585 389 1556 1827 1245 1901 1752 1777 1485 1635 1333 2175 1597 935 1611
-Rocky Mount, NC[3594,7780]41283
-1786 697 2936 808 576 1367 783 837 1204 899 1292 3041 1865 1340 2932 261
-2268 1575 1512 2615 2673 624 3008 2969 2659 2762 1863 3039 784 1080 380 616
-1758 478 2962 1089 689 1276 2059 1282 1122 1370 1426 803 2667 900 596 1065
-592 232 1705 462 1119 2946 441 225 400 593 2992 634 731 779 1122 668
-1223 719 958 399 1792 2255 1257 788 697 2438 1221 397 619 552 1600 3080
-936 1447 746 1355 2827 536 230 545 1144 664 1502 912 1152 489 3083 2834
-821 466 1343 1397 386 440 1957 339 127 263 1755 151 1071 638 2886 1437
-510
-Rock Springs, WY[4159,10923]19458
-2072 825 2141 864 1526 2127 1042 2244 1339 883 1183 1070 969 402 783 1042
-2073 196 1097 1301 859 989 1535 958 984 913 1007 629 967 2266 1605 2040
-2056 358 1980 1056 1016 1717 1038 387 1122 1330 795 841 1338 776 1184 2158
-1103 1493 1886 395 1663 1270 904 2005 2010 1950 1934 1046 1968 2213 1318 1282
-1482 873 1750 1569 2018 559 994 1050 1506 1632 368 1243 1735 1985 1989 931
-1185 1516 1399 1336 1209 784 1749 1925 2153 1019 1988 873 1264 1253 2012 1011
-943 2372 1667 866 1005 1706 1887 785 1970 2117 1869 1158 1924 1231 2202 908
-771 1648
-Rockford, IL[4227,8910]139712
-1192 963 1277 980 2056 367 1148 418 1083 180 456 296 343 2146 1098 652
-2234 929 1388 1217 1237 2035 2093 374 2150 2176 2079 2182 1267 2159 1306 473
-1034 895 878 817 2013 439 821 809 1098 893 872 412 463 177 1718 194
-997 517 376 758 837 519 181 2096 842 939 971 773 2043 1049 1253 267
-816 323 538 591 410 874 1074 1707 714 610 736 1548 952 584 824 1023
-651 2131 786 1229 315 1056 1878 588 781 1009 181 827 545 72 214 1033
-2188 1885 1393 519 692 983 616 724 1008 826 1033 718 806 819 122 1041
-1937 479 487
-Rochester, NY[4316,7761]241741
-694 1855 606 1828 291 2719 446 1170 1098 394 550 1053 800 1023 2824 1744
-1234 2897 441 2051 1735 1732 2614 2672 323 2813 2839 2658 2761 1862 2822 1375
-686 974 213 1541 205 2693 986 1081 1327 1792 1411 1352 1106 1157 519 2398
-750 316 1035 435 460 1500 313 850 2759 247 818 965 88 2723 1208 1325
-630 1300 374 1117 161 596 316 1686 2286 1232 1027 1061 2221 1436 328 135
-1133 1331 2811 1228 1709 678 1570 2558 158 376 336 875 133 1233 643 883
-1070 2866 2565 1415 338 1271 1501 605 166 1688 338 733 367 1486 657 802
-360 2617 1173 253
-Rochester, MN[4402,9246]57890
-961 267 1066 1229 1205 1246 1930 633 1388 152 1349 446 402 487 80 1883
-998 587 2108 1195 1262 1180 1215 1925 2021 640 2024 2050 1979 2073 1167 2033
-1549 553 1298 1161 754 1083 1746 452 1057 772 875 871 988 271 240 443
-1451 408 1253 567 642 1024 735 785 204 1970 1108 1203 1211 1039 1776 1289
-1496 519 915 589 487 857 636 1140 974 1635 677 846 972 1407 997 850
-1090 1263 385 1864 1005 1257 558 1034 1611 854 1047 1275 115 1093 278 328
-201 1273 2047 1618 1633 785 650 946 881 990 742 1092 1299 984 543 1085
-166 1303 1670 322 753
-Roanoke, VA[3727,7994]100220
-1018 548 752 1861 216 1647 668 2725 629 624 1156 771 626 994 726 1081
-2830 1685 1167 2793 434 2057 1437 1412 2476 2534 463 2819 2830 2520 2623 1724
-2828 832 901 428 587 1547 421 2751 918 640 1137 1847 1143 1022 1159 1215
-592 2456 691 604 926 381 88 1500 334 908 2765 412 280 417 535 2781
-663 779 570 983 489 1050 637 774 407 1619 2116 1118 660 597 2227 1119
-277 572 585 1389 2869 836 1347 573 1253 2616 454 238 553 933 606 1291
-701 941 522 2872 2623 869 316 1200 1258 213 382 1746 347 293 181 1544
-109 860 646 2675 1221 385
-Richmond, VA[3754,7745]219214
-168 1127 486 861 1994 120 1815 577 2858 688 696 1265 663 721 1127 859
-1190 2963 1818 1300 2961 306 2190 1605 1580 2644 2702 504 2952 2978 2688 2791
-1892 2961 904 960 500 496 1680 358 2860 1051 782 1305 1959 1311 1190 1273
-1324 688 2565 824 476 1094 513 112 1633 342 1017 2898 321 345 512 473
-2890 754 851 703 1151 548 1183 599 838 279 1752 2284 1286 828 765 2360
-1287 277 499 672 1498 2978 1004 1515 706 1421 2725 416 110 425 1042 544
-1400 810 1050 609 3005 2732 941 346 1333 1426 381 320 1855 219 247 143
-1653 225 969 518 2784 1340 390
-Richmond, IN[3983,8489]41349
-565 432 590 499 324 1429 646 1336 785 2293 293 898 728 888 211 562
-308 653 2398 1253 742 2439 665 1625 1243 1236 2122 2180 191 2387 2413 2166
-2269 1370 2396 1059 536 775 700 1115 584 2323 494 687 835 1415 919 864
-727 787 167 2028 259 799 543 64 457 1068 253 480 2333 606 643 681
-578 2353 799 1006 138 804 175 625 462 394 613 1194 1794 740 562 602
-1795 940 307 629 773 961 2441 746 1221 190 1074 2188 389 506 748 505
-632 863 273 513 783 2440 2195 1143 238 779 1009 292 491 1318 565 709
-441 1116 495 432 841 2247 794 275
-Richfield, UT[3877,11209]5482
-1700 2265 2132 1408 2187 1526 342 2337 827 2471 701 1860 2318 1384 2574 1673
-1138 1438 1412 1003 497 1023 808 2365 164 1141 1359 534 664 1869 795 813
-588 682 631 804 2422 1947 2268 2388 700 2284 1090 1271 1884 1175 729 1234
-1442 1137 1183 1670 911 1441 2492 1304 1764 2157 689 1953 1612 733 2306 2265
-2178 2266 1080 2124 2369 1584 1394 1816 1120 2084 1903 2313 654 652 1187 1707
-1824 400 1355 2007 2315 2170 1273 1219 1628 1458 1591 1312 818 2081 2206 2448
-1353 2320 1215 1598 1595 2214 874 1048 2549 1938 1026 1117 1966 2191 1099 2265
-2372 2141 1500 2186 1565 2536 942 1113 1973
-Rhinelander, WI[4564,8942]7873
-1636 558 1095 986 260 928 273 1294 1197 1433 1214 2158 504 1400 262 1283
-414 653 569 227 2028 1226 815 2336 1163 1490 1424 1366 2153 2249 608 2252
-2278 2207 2301 1395 2261 1561 319 1269 1129 982 1051 1891 685 1094 1023 1049
-1122 1145 499 468 411 1596 467 1231 787 610 992 963 753 92 2198 1076
-1174 1212 1007 1921 1301 1508 510 1089 557 738 789 402 1108 1202 1863 928
-883 1009 1596 1225 818 1058 1275 495 2009 1059 1408 563 1285 1756 822 1015
-1243 364 1027 431 289 59 1285 2236 1763 1645 753 882 1190 850 958 824
-1060 1267 952 603 1053 170 1275 1815 550 721
-Reno, NV[3952,11981]100756
-2019 571 2154 2719 2586 1791 2580 1917 725 2797 1225 2866 139 2251 2748 1767
-2969 2064 1608 1908 1795 537 1010 1506 324 2798 529 1545 1763 470 600 2260
-233 266 517 541 1096 242 2852 2305 2727 2781 1083 2705 778 1741 2314 1647
-1112 1664 1872 1520 1566 2063 787 1909 2883 1817 2218 2611 1120 2388 1995 186
-2730 2735 2637 2659 748 2554 2799 2043 1824 2207 1598 2475 2294 2743 1167 930
-1700 2183 2254 458 1785 2460 2710 2600 1563 923 2058 1869 2061 1723 627 2474
-2650 2878 1744 2713 1598 1989 1978 2644 303 827 2979 2392 1539 1547 2431 2612
-1346 2695 2842 2594 1774 2649 1956 2927 710 1496 2373
-Regina, SK[5042,10465]162613
-1458 943 1211 1437 1974 1865 861 1807 1127 973 2076 1433 2093 1597 1391 2249
-709 2170 1293 1095 1344 784 1260 1053 1109 1775 2042 1047 1593 1797 1728 1858
-1487 1691 1717 1782 1871 1276 1700 2410 1179 2148 2008 754 1930 1123 1235 1917
-1412 628 1539 1708 849 766 1290 828 1269 2110 1322 1489 1871 850 1632 984
-1637 1955 2051 2072 1886 1153 2150 2357 1380 1635 1436 1114 1676 1289 1987 1110
-1759 1346 1706 1832 1000 1665 1697 1937 2124 476 1241 1782 1858 1419 1635 988
-1701 1894 2122 976 1914 653 1175 967 2134 1459 995 2494 1632 1196 1468 1729
-1837 188 1939 2146 1831 399 1932 1007 2154 1047 782 1600
-Red Bluff, CA[4018,12224]9490
-1564 198 2217 769 2352 2917 2784 1989 2778 2115 923 2995 1423 3064 131 2449
-2946 1965 3166 2262 1806 2106 1993 429 1208 1704 293 2996 727 1734 1896 566
-640 2458 200 235 550 529 1294 209 3050 2503 2925 2979 1281 2903 670 1939
-2512 1845 1310 1862 2070 1718 1764 2261 736 2107 3081 2015 2416 2809 1318 2586
-2193 178 2928 2933 2835 2857 640 2752 2997 2241 2022 2405 1796 2673 2492 2941
-1365 1026 1898 2381 2452 656 1983 2658 2908 2798 1761 815 2256 2009 2259 1921
-605 2672 2848 3076 1942 2911 1796 2187 2176 2842 105 727 3177 2590 1737 1745
-2629 2810 1544 2893 3040 2792 1963 2847 2154 3125 610 1694 2571
-Reading, PA[4033,7593]78686
-2871 1917 2673 1038 2243 543 249 345 1071 281 804 1948 369 1879 328 2812
-624 945 1208 431 657 1105 851 1133 2917 1796 1285 2982 160 2144 1776 1750
-2665 2723 440 2906 2932 2709 2812 1913 2915 1153 896 749 247 1634 109 2803
-1037 978 1378 1902 1462 1360 1216 1267 630 2508 802 265 1086 479 257 1593
-295 960 2852 72 594 761 249 2833 1003 1100 681 1321 484 1168 421 774
-87 1737 2337 1283 998 935 2314 1457 251 250 921 1441 2921 1174 1685 729
-1591 2668 274 139 214 985 320 1343 753 993 858 2959 2675 1190 305 1322
-1552 542 115 1798 57 496 164 1596 454 912 307 2727 1283 321
-Ravenna, OH[4116,8124]11987
-348 2541 1570 2343 691 1943 246 413 405 723 272 457 1618 533 1581 558
-2482 280 1012 861 661 322 807 554 786 2587 1498 987 2660 473 1814 1488
-1470 2367 2425 93 2576 2602 2411 2514 1615 2585 1220 552 816 473 1304 363
-2456 739 842 1080 1555 1164 1092 869 920 282 2161 504 575 788 182 337
-1263 80 613 2522 388 682 805 351 2486 981 1167 384 1038 140 870 307
-430 418 1439 2039 986 765 799 1984 1174 136 402 954 1094 2574 966 1449
-431 1308 2321 144 325 552 638 405 996 406 646 910 2629 2328 1257 105
-1024 1255 352 270 1451 370 660 270 1249 506 565 619 2380 936 34
-* End of file "miles.dat"
diff --git a/examples/miles.py b/examples/miles.py
deleted file mode 100644
index 720d6ecc..00000000
--- a/examples/miles.py
+++ /dev/null
@@ -1,106 +0,0 @@
-#!/usr/bin/env python
-"""
-An example using networkx.XGraph().
-
-miles_graph() returns an undirected graph over the 128 US cities from
-the datafile miles.dat. The cities each have location and population
-data. The edges are labeled with the distance betwen the two cities.
-
-This example is described in Section 1.1 in Knuth's book [1,2].
-
-References.
------------
-
-[1] Donald E. Knuth,
- "The Stanford GraphBase: A Platform for Combinatorial Computing",
- ACM Press, New York, 1993.
-[2] http://www-cs-faculty.stanford.edu/~knuth/sgb.html
-
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-04-01 14:20:02 -0700 (Fri, 01 Apr 2005) $"
-__credits__ = """"""
-__revision__ = ""
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-def miles_graph():
- """ Return the cites example graph in miles.dat
- from the Stanford GraphBase.
- """
- try:
- fh=open("miles.dat","r")
- except IOError:
- print "miles.dat not found"
- raise
-
- G=XGraph()
- G.position={}
- G.population={}
-
- cities=[]
- for line in fh.readlines():
- if line.startswith("*"): # skip comments
- continue
-
- numfind=re.compile("^\d+")
-
- if numfind.match(line): # this line is distances
- dist=line.split()
- for d in dist:
- G.add_edge(city,cities[i],int(d))
- i=i+1
- else: # this line is a city, position, population
- i=1
- (city,coordpop)=line.split("[")
- cities.insert(0,city)
- (coord,pop)=coordpop.split("]")
- (y,x)=coord.split(",")
-
- G.add_node(city)
- # assign position - flip x axis for matplotlib, shift origin
- G.position[city]=(-int(x)+7500,int(y)-3000)
- G.population[city]=float(pop)/1000.0
- return G
-
-if __name__ == '__main__':
- from networkx import *
- import re
- import sys
-
- G=miles_graph()
-
- print "Loaded Donald Knuth's miles.dat containing 128 cities."
- print "digraph has %d nodes with %d edges"\
- %(number_of_nodes(G),number_of_edges(G))
-
-
- # make new graph of cites, edge if less then 300 miles between them
- H=Graph()
- for v in G:
- H.add_node(v)
- for (u,v,d) in G.edges():
- if d < 300:
- H.add_edge(u,v)
-
- # draw with matplotlib/pylab
-
- try:
- # with nodes colored by population, no labels
- # draw_nx(H,G.position,node_labels=False,node_size=80,node_color=G.population,cmap=cm.jet)
- # with nodes sized py population
- # draw_nx(H,G.position,node_labels=False,node_size=G.population,cmap=cm.jet)
- draw_nx(H,G.position,node_labels=False,node_size=G.population,node_color=H.degree(with_labels=True),cmap=cm.jet)
- savefig("miles.png")
- # with nodes colored by degree
- #draw_nx(H,G.position,node_labels=False,node_size=50,node_color=H.degree(with_labels=True),cmap=cm.jet)
- except:
- pass
-
-
-
diff --git a/examples/properties.py b/examples/properties.py
deleted file mode 100644
index 6dab75f2..00000000
--- a/examples/properties.py
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/usr/bin/env python
-"""
-Read and write graphs.
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2004-11-03 08:11:09 -0700 (Wed, 03 Nov 2004) $"
-__credits__ = """"""
-__revision__ = "$Revision: 503 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-
-G = lollipop_graph(4,6)
-
-pathlengths=[]
-
-print "source vertex {target:length, }"
-for v in G.nodes():
- spl=shortest_path_length(G,v)
- print v,spl
- for p in spl.values():
- pathlengths.append(p)
-
-print
-print "average shortest path length ", sum(pathlengths)/len(pathlengths)
-
-# histogram of path lengths
-dist={}
-for p in pathlengths:
- if dist.has_key(p):
- dist[p]+=1
- else:
- dist[p]=1
-
-print
-print "length #paths"
-verts=dist.keys()
-verts.sort()
-for d in verts:
- print d,dist[d]
-
-print "radius: ",radius(G)
-print "diameter: ",diameter(G)
-print "eccentricity: ",eccentricity(G,with_labels=True)
-print "center: ",center(G)
-print "periphery: ",periphery(G)
-print "density: ", density(G)
-
diff --git a/examples/read_write.py b/examples/read_write.py
deleted file mode 100644
index b7499dd4..00000000
--- a/examples/read_write.py
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/usr/bin/env python
-"""
-Read and write graphs.
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2004-11-03 08:11:09 -0700 (Wed, 03 Nov 2004) $"
-__credits__ = """"""
-__revision__ = "$Revision: 503 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-G=grid_2d_graph(5,5) # 5x5 grid
-write_adjlist(G) # write adjacency list to screen
-write_edgelist(G,path="grid.edgelist") # write edgelist to grid.edgelist
-H=read_edgelist(path="grid.edgelist") # read edgelist from grid.edgelist
-
-try:
- from networkx.drawing.nxpydot import *
- write_dot(G,path="grid.dot") # write dotfile
-except:
- pass # skipping write_dot since pydot,pyparsing, or graphviz not available
diff --git a/examples/roget.dat b/examples/roget.dat
deleted file mode 100644
index 85d5a14a..00000000
--- a/examples/roget.dat
+++ /dev/null
@@ -1,1038 +0,0 @@
-* File "roget.dat" from the Stanford GraphBase (C) 1993 Stanford University
-* Cross-references in Roget's Thesaurus, 1879
-* This file may be freely copied but please do not change it in any way!
-* (Checksum parameters 1033,644995539)
-1existence:2 69 125 149 156 166 193 455 506 527
-2inexistence:1 4 167 192 194 368 458 526 527 771
-3substantiality:4 323 325
-4unsubstantiality:3 34 194 360 432 452 458 527
-5intrinsicality:6 82 162 182 228 562 657
-6extrinsicality:5 60 227
-7state:8 247 336 457
-8circumstance:6 7 156
-9relation:10 11 12 18 25 46 78 204 474
-10irrelation:9 26 47 86 90
-11consanguinity:171
-12correlation:153
-13identity:14 18 23 29 108 506
-14contrariety:13 32 225 723
-15difference:19 26 30 84 145 475
-16uniformity:17 25 85
-17non-uniformity:16 84 86 161 263
-18similarity:11 13 16 19 20 25 108 506 533 566
-19dissimilarity:15 17 18 78 86 145
-20imitation:21 23 556 566 611
-21non-imitation:20
-22variation:17 145 286 298
-23copy:18 20 24 108 557 566
-24prototype:23
-25agreement:9 16 18 26 29 85 184 500 661 724 729
-26disagreement:10 25 86 723 728
-27quantity:28 199
-28degree:27 33 74 240
-29equality:13 18 25 30 534
-30inequality:15 29 35 36
-31mean:71 643 658 790
-32compensation:29 31 185 733 790 972
-33greatness:34 35 37 53 55 75 86 106 109 178 199 201 506 651 654 657 887
-34smallness:33 38 54 107 165 200 202 655 658
-35superiority:33 36 37 42 201 217 310 656 657 663 892
-36inferiority:34 35 38 202 658 666 893
-37increase:38 39 76 201 312
-38decrease:37 40 179 202 208 313 674
-39addition:37 40 46 91 235 307
-40subduction:38 39 208 806
-41adjunct:39 42 68 91
-42remainder:41 656 660 668 799
-43decrement:
-44mixture:45 46 51 62 64 226 235 449
-45simpleness:44 47 667
-46junction:39 47 48 49 51 75 766 921
-47disjunction:46 52 73 76 233 260 337 765 803
-48vinculum:46 212 221 222 767
-49coherence:46 50 328 359
-50incoherence:47 49 51 328
-51combination:44 46 52
-52decomposition:47 51 76 320 668
-53whole:54 55 75 90 657
-54part:34 47 53 59 78 188 211 803
-55completeness:53 56 654 656 665 744
-56incompleteness:55 73 205 311 470 655 666 689 744 745
-57composition:51 58 59 79
-58omission:47 57 470 910
-59component:54 60 795
-60extraneousness:6 58 59 227
-61order:62 63 64 72 74 143
-62disorder:26 44 61 63 64 86 178 225 226 248 255 322 356
-63arrangement:64 563 608 641 688
-64derangement:44 62 63 225 265
-65precedence:35 66 67 121 180 241 287 657
-66sequence:36 65 72 122 242 288
-67precursor:68 121 523 524 688
-68sequel:67
-69beginning:67 70 129 130 158 238 241 300 688 691
-70end:69 147 238 242 368 744
-71middle:31 229 235 643
-72continuity:73
-73discontinuity:47 72 143 144 205 235
-74term:28
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-76dispersion:47 75 81 298 803
-77focus:229 297 651
-78class:18
-79inclusion:57 78 80 236
-80exclusion:58 79
-81generality:31 76 82 627
-82speciality:81 86 182
-83rule:24 84 85 506 627 712
-84multiformity:83
-85conformity:16 24 25 83 86 627
-86unconformity:85 480 887
-87number:
-88numeration:89 477
-89list:563
-90unity:46 47 51 91 910
-91accompaniment:39 41 90 125
-92duality:93
-93duplication:94 108 675
-94bisection:93
-95triality:
-96triplication:97
-97trisection:96
-98quaternity:
-99quadruplication:100
-100quadrisection:99
-101five or more:102
-102quinquesection or finer:101
-103plurality:90 104 105 106
-104fraction:54 103
-105zero:4 103 194
-106multitude:75 107 109 654
-107fewness:34 106 142
-108repetition:20 141 143 415 416 627 675
-109infinity:117
-110time:55 111 112 114 115 118 139 698
-111neverness:110
-112period:114 143
-113contingent duration:114
-114course:110 112 113 127
-115diuturnity:116 117 127 133 138 155 282
-116transientness:115 118 137 154 281 699
-117perpetuity:118 141
-118instantaneity:117 137 699
-119chronometry:120
-120anachronism:119 140
-121priority:67 122 127 137 287 523
-122posteriority:68 121 126 288
-123present time:118 124
-124different time:123
-125synchronism:110 118
-126futurity:127 137 157 519 522
-127preterition:121 126 128 129 171 517
-128newness:129 132 675
-129oldness:69 127 128 133 674
-130morning:131
-131evening:130
-132youth:133
-133age:129 132 135
-134infant:135
-135veteran:134 171
-136adolescence:381 382
-137earliness:118 130 138 281 520 697 699
-138lateness:137 140 282 519 651 698
-139occasion:25 137 140 661 692 700 801 806
-140intempestivity:26 120 137 138 139 470 662 698
-141frequency:108 142 627
-142infrequency:107 141
-143periodicity:144 321
-144irregularity:73 143
-145change:64 146 149 151 154 192 225 277 620
-146permanence:145 155 272 619
-147cessation:70 127 148 299 368 639
-148continuance:108 117 147 617
-149conversion:247 277 282
-150reversion:143 226 284 290 675 676
-151revolution:167 557
-152substitution:153 533 774
-153interchange:152 733 811
-154changeableness:116 145 155 321 322 618 621
-155stability:46 115 146 154 191 619
-156eventuality:8 127 157 161 838
-157destiny:126 156 161 166 485 519 613
-158cause:159 160 166 169 171 182 222 635
-159effect:70 158
-160attribution:158 159 161 171 534
-161chance:160 481 613 636
-162power:163 164 173 176 180 752 759
-163impotence:162 165 655 660 719 747
-164strength:162 165 176 675 704 759
-165weakness:132 134 163 164 670 698
-166production:158 167 173 688 744 791
-167destruction:151 166 308 369 660 674 771
-168reproduction:166 675
-169producer:170 705
-170destroyer:167 169 369 678 996
-171paternity:11 172
-172posterity:171
-173productiveness:166 174 659
-174unproductiveness:163 173 660
-175agency:158 180 642 646 647 695
-176energy:162 164 177 178 400 401 616 697 701 841
-177inertness:146 176 272 618 619 698 843
-178violence:62 179 322 356 515 754 842 880 904
-179moderation:38 165 178 698 755 764 766 843
-180influence:162 181 222 657 752
-181absence of influence:10 163 177 180
-182tendency:183 285 646 659 722
-183liability:680
-184concurrence:25 185 500 722 724 727
-185counteraction:14 32 184 284 721 723 734 766
-186space:109 187 188 189 193 194 205
-187inextension:34 186
-188region:186 196 240
-189place:186 190 196 198 251
-190situation:189 285 566
-191location:192 193 196 307 675
-192displacement:64 191 277 300 304 910
-193presence:76 186 191 194 453
-194absence:2 173 193 300
-195inhabitant:60 191 193 196 380
-196abode:166 188 191 193 195 198 230 239 1022
-197contents:198 228
-198receptacle:196 222 239 259 279 651
-199size:33 53 75 109 186 200 201
-200littleness:34 38 54 199 202 208 210 337 658
-201expansion:35 37 199 202 257
-202contraction:36 38 200 201 208 236 608 674 766
-203distance:76 186 204
-204nearness:75 203 206 293 297
-205interval:47 56 73 194 206 235 266 267
-206contiguity:49 204 205 240
-207length:72 208 477 589
-208shortness:200 202 207 584 608
-209thickness:186 199 201 210
-210thinness:200 201 202 205 209 212
-211layer:212 230
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-213height:35 55 199 210 214 217 230 251 257 312 314
-214lowness:213 220 259 315
-215depth:205 216 259 317
-216shallowness:215
-217summit:35 70 213 218 230
-218base:217 222
-219verticality:220
-220horizontality:211 219 258
-221pendency:48 222
-222support:46 48 218 221 722
-223parallelism:224 243
-224obliquity:219 223 250 252
-225inversion:14 244
-226crossing:62 255
-227exteriority:6 228 230 234
-228interiority:5 197 227 229 235 236 259 307
-229centrality:71 77 297
-230covering:196 211 231 232 363 364 433 540 542 732
-231lining:230
-232investment:230 233 254 864 899 1021
-233divestment:230 232
-234circumjacence:235 236 237 238
-235interjacence:234 307
-236circumscription:232 234 239 766
-237outline:239 254
-238edge:267
-239inclosure:198 236 237 732 767
-240limit:
-241front:67 242
-242rear:241 288
-243laterality:204 244
-244contraposition:225 243
-245dextrality:246
-246sinistrality:245
-247form:166 237 248 336 457
-248amorphism:62 64 247 250
-249symmetry:29 229 250 862
-250distortion:201 208 210 224 249 863
-251angularity:219 224 264 265
-252curvature:224 250 253 254 255 286
-253straightness:226 252 255 285 330
-254circularity:234 252 255 256 318
-255convolution:62 226 254
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-257convexity:201 213 258 259 260 314 670
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-259concavity:198 205 252 257 266 267 350
-260sharpness:47 261 263 269 742
-261bluntness:260
-262smoothness:220 258 263 339
-263roughness:249 260 262
-264notch:
-265fold:
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-267opening:205 259 268 357 358 642
-268closure:202 267 270 721
-269perforator:270 742
-270stopper:230 269
-271motion:154 272 273 274 277 283 286 291
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-273journey:274 275 277 279 281 289
-274navigation:273 276 280 300
-275traveller:276
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-277transference:76 153 192 291 292 800
-278carrier:279 280
-279vehicle:280
-280ship:279 741
-281velocity:118 178 271 282 310 697 699
-282slowness:138 281 698
-283impulse:178 260 284 291 731 742 993
-284recoil:283 332 416
-285direction:182 286
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-293approach:126 157 294 637
-294recession:284 290 293 300 638
-295attraction:296
-296repulsion:283 295
-297convergence:75 77 298
-298divergence:47 76 286 297
-299arrival:191 300 301 455 681 744
-300departure:299 302 304 458 638
-301ingress:235 267 302 303 307 357 642
-302egress:267 300 301 306 355 357 358 642 686
-303reception:235 304 305 307
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-305food:196 303 306 401 652 857 978 980
-306excretion:302 304 305 668
-307insertion:235 267 301 308 317 344 371
-308extraction:302 304 307
-309passage:267 273 274 277 301 302 357 642
-310transcursion:311 312 656
-311shortcoming:56 310 470 655 666 745 747
-312ascent:224 313 316
-313descent:312 315
-314elevation:257 315 648
-315depression:220 259 314
-316leap:317 322 857
-317plunge:316 344
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-319rotation:320
-320evolution:225 319
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-322agitation:62 154 356
-323materiality:324 650
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-325world:477
-326gravity:327
-327levity:326
-328density:49 329 330
-329rarity:259 327 328 341
-330hardness:331
-331softness:330
-332elasticity:284 333
-333inelasticity:331 332
-334tenacity:49 335 619
-335brittleness:334
-336texture:263
-337pulverulence:34 202
-338friction:337 339
-339lubrication:262 338 362 363
-340fluidity:341 342 355
-341gaseity:340 343 360
-342liquefaction:340 343 392
-343vaporization:341 342
-344water:345 346 355
-345air:341 344 356 360
-346moisture:302 344 347 352
-347dryness:346
-348ocean:349 355
-349land:213 257 325 348 797
-350gulf:351 651
-351plain:220 350
-352marsh:353
-353island:352
-354stream:256 355 356
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-357conduit:267 358 642
-358air-pipe:267 356 357
-359semiliquidity:49 346 352 360
-360bubble:359 431 435
-361pulpiness:362
-362unctuousness:339 361 363
-363oil:
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-365organization:336 366 376 377
-366inorganization:365
-367life:1 157 166 168 305 368 675 697
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-369killing:672 742 993 996
-370corpse:371
-371interment:856
-372animality:164 373
-373vegetability:372
-374animal:200 278 375
-375vegetable:374 379
-376zoology:377
-377botany:376 379
-378cicuration:239 369 379 766 767
-379agriculture:196 378 857
-380mankind:195 893
-381man:134 136 382 921
-382woman:134 136 381 921
-383physical sensibility:384 502 839
-384physical insensibility:383 698 840
-385physical pleasure:222 386 402 404 408 422 844 846 862 974
-386physical pain:322 385 419 845 993
-387touch:
-388sensations of touch:389
-389numbness:384 388
-390heat:391 392 397 432
-391cold:390 393
-392calefaction:231 232 342 390 393 394 396
-393refrigeration:328 391 392
-394furnace:395
-395refrigeratory:394
-396fuel:363 392 432
-397thermometer:
-398taste:399 402
-399insipidity:398
-400pungency:400 401 403 405
-401condiment:400
-402savouriness:403
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-404sweetness:405
-405sourness:404
-406odour:407
-407inodorousness:406
-408fragrance:409
-409fetor:408 668
-410sound:411 416 592
-411silence:272 410 413 593 597
-412loudness:413 416 419 420 421
-413faintness:412 422 595
-414snap:415
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-416resonance:413 417 419
-417non-resonance:416
-418sibilation:419
-419stridor:418 420 421 423
-420cry:412 421 592
-421ululation:420
-422melody:416 419 423 424 609 846
-423discord:419 422
-424music:422 425 609 856 857
-425musician:422 424 426 609
-426musical instruments:
-427hearing:416 428
-428deafness:427
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-926malediction:927 952
-927threat:523 683 730 877 926
-928philanthropy:924 929 962
-929misanthropy:919 928 963
-930benefactor:726 931 968
-931evil doer:369 678 809 930 969 1001
-932pity:755 780 928 933 934
-933pitilessness:754 925 932 938
-934condolence:856
-935gratitude:936 1012
-936ingratitude:935
-937forgiveness:470 738 938 991
-938revenge:733 925 933 937
-939jealousy:
-940envy:
-941right:775 942 943 945 959 964 984 994
-942wrong:941 944 965 985
-943dueness:775 787 797 941 944 958 984
-944undueness:753 943 965 985
-945duty:640 754 783 943 946 947 959 964
-946dereliction:945 952 965 967
-947non-ownership:937 945 991
-948respect:903 911 949 951 1009 1012
-949disrespect:873 912 948 950 952 954
-950contempt:470 495 624 658 949
-951approbation:633 663 890 914 948 952 953
-952disapprobation:237 664 856 884 885 926 949 950 951 954 958 965 992
-953flattery:494 561 954
-954detraction:949 952 953 956
-955flatterer:903 956
-956detractor:918 955
-957vindication:632 958 991
-958accusation:733 952 954 957 965 990 992
-959probity:555 718 890 945 960 964 966
-960improbity:556 557 722 789 891 953 959 965
-961knave:620 903 969
-962disinterestedness:616 924 959 963
-963selfishness:836 897 962
-964virtue:616 890 945 959 965 966 973
-965vice:674 925 960 964 967 969
-966innocence:718 957 959 964 967 991
-967guilt:960 965 966
-968good man:665 928 930 966 969 1009
-969bad man:369 809 835 931 961 965 968 1001
-970penitence:541 620 740 850 971 972
-971impenitence:970
-972atonement:32
-973temperance:616 654 974 979
-974intemperance:973
-975sensualist:983
-976asceticism:910 972 977
-977fasting:882 978
-978gluttony:305 882 977
-979sobriety:980
-980drunkenness:305 979
-981purity:982
-982impurity:668 981
-983libertine:975 982
-984legality:622 712 756 775 941 985
-985illegality:86 757 776 984
-986jurisdiction:752 987 988
-987tribunal:986
-988judge:491 958 986 987
-989lawyer:988
-990lawsuit:491 728 766 958
-991acquittal:765 937 992
-992condemnation:747 952 958 991
-993punishment:283 766 994 995 996
-994reward:801 824 894 995 996
-995penalty:972 993 994
-996scourge:767 994
-997deity:
-998angel:999
-999satan:998 1001
-1000jupiter:1001
-1001demon:1000
-1002heaven:675 1003
-1003hell:1002
-1004theology:496 1006
-1005orthodoxy:496 506 1006
-1006heterodoxy:493 498 501 507 527 619 1005 1011 1013 1019
-1007revelation:525 1008
-1008pseudo-revelation:1007 1013
-1009piety:948 1010 1011 1012
-1010impiety:493 556 560 619 926 965 969 1009 1011
-1011irreligion:497 1009
-1012worship:780 838 948 1020
-1013idolatry:1008
-1014sorcery:523 557 629
-1015spell:
-1016sorcerer:525 1001
-1017churchdom:711 1006
-1018clergy:1017 1019
-1019laity:1018
-1020rite:371 921 972 1012 1015 1017
-1021canonicals:232
-1022temple:
-* End of file "roget.dat"
diff --git a/examples/roget.py b/examples/roget.py
deleted file mode 100644
index 7529df6a..00000000
--- a/examples/roget.py
+++ /dev/null
@@ -1,83 +0,0 @@
-#!/usr/bin/env python
-"""
-The roget.dat example from the Stanford Graph Base.
-
-Build a directed graph of 1022 categories and
-5075 cross-references as defined in the 1879 version of Roget's Thesaurus
-contained in the datafile roget.dat. This example is described in
-Section 1.2 in Knuth's book [1,2].
-
-Note that one of the 5075 cross references is a self loop and
-thus is not included in the graph built here because
-the standard networkx Graph class doesn't include self loops
-(cf. 400pungency:400 401 403 405).
-
-References.
-----------
-
-[1] Donald E. Knuth,
- "The Stanford GraphBase: A Platform for Combinatorial Computing",
- ACM Press, New York, 1993.
-[2] http://www-cs-faculty.stanford.edu/~knuth/sgb.html
-
-
-"""
-__author__ = """Brendt Wohlberg\nAric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-04-01 07:56:22 -0700 (Fri, 01 Apr 2005) $"
-__credits__ = """"""
-__revision__ = ""
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-import re
-import sys
-
-def roget_graph():
- """ Return the thesaurus graph from the roget.dat example in
- the Stanford Graph Base.
- """
- try:
- fh=open("roget.dat","r")
- except IOError:
- print "roget.dat not found"
- raise
-
- G=DiGraph()
-
- for line in fh.readlines():
- if line.startswith("*"): # skip comments
- continue
- if line.startswith(" "): # this is a continuation line, append
- line=oldline+line
- if line.endswith("\\\n"): # continuation line, buffer, goto next
- oldline=line.strip("\\\n")
- continue
-
- (headname,tails)=line.split(":")
-
- # head
- numfind=re.compile("^\d+") # re to find the number of this word
- head=numfind.findall(headname)[0] # get the number
-
- G.add_node(head)
-
- for tail in tails.split():
- if head==tail:
- print >>sys.stderr,"skipping self loop",head,tail
- G.add_edge(head,tail)
-
- return G
-
-if __name__ == '__main__':
- from networkx import *
- G=roget_graph()
- print "Loaded Donald Knuth's roget.dat containing 1022 categories."
- print "digraph has %d nodes with %d edges"\
- %(number_of_nodes(G),number_of_edges(G))
- print number_connected_components(G),"connected components"
-
diff --git a/examples/sample.mbox b/examples/sample.mbox
deleted file mode 100644
index a3a7cf8d..00000000
--- a/examples/sample.mbox
+++ /dev/null
@@ -1,84 +0,0 @@
-From alice@edu Thu Jun 16 16:12:12 2005
-From: Alice <alice@edu>
-Subject: NetworkX
-Date: Thu, 16 Jun 2005 16:12:13 -0700
-To: Bob <bob@gov>
-Status: RO
-Content-Length: 86
-Lines: 5
-
-Bob, check out the new networkx release - you and
-Carol might really like it.
-
-Alice
-
-
-From bob@gov Thu Jun 16 18:13:12 2005
-Return-Path: <bob@gov>
-Subject: Re: NetworkX
-From: Bob <bob@gov>
-To: Alice <alice@edu>
-Content-Type: text/plain
-Date: Thu, 16 Jun 2005 18:13:12 -0700
-Status: RO
-Content-Length: 26
-Lines: 4
-
-Thanks for the tip.
-
-Bob
-
-
-From ted@com Thu Jul 28 09:53:31 2005
-Return-Path: <ted@com>
-Subject: Graph package in Python?
-From: Ted <ted@com>
-To: Bob <bob@gov>
-Content-Type: text/plain
-Date: Thu, 28 Jul 2005 09:47:03 -0700
-Status: RO
-Content-Length: 90
-Lines: 3
-
-Hey Ted - I'm looking for a Python package for
-graphs and networks. Do you know of any?
-
-
-From bob@gov Thu Jul 28 09:59:31 2005
-Return-Path: <bob@gov>
-Subject: Re: Graph package in Python?
-From: Bob <bob@gov>
-To: Ted <ted@com>
-Content-Type: text/plain
-Date: Thu, 28 Jul 2005 09:59:03 -0700
-Status: RO
-Content-Length: 180
-Lines: 9
-
-
-Check out the NetworkX package - Alice sent me the tip!
-
-Bob
-
->> bob@gov scrawled:
->> Hey Ted - I'm looking for a Python package for
->> graphs and networks. Do you know of any?
-
-
-From ted@com Thu Jul 28 15:53:31 2005
-Return-Path: <ted@com>
-Subject: get together for lunch to discuss Networks?
-From: Ted <ted@com>
-To: Bob <bob@gov>, Carol <carol@gov>, Alice <alice@edu>
-Content-Type: text/plain
-Date: Thu, 28 Jul 2005 15:47:03 -0700
-Status: RO
-Content-Length: 139
-Lines: 5
-
-Hey everyrone! Want to meet at that restaurant on the
-island in Konigsburg tonight? Bring your laptops
-and we can install NetworkX.
-
-Ted
-
diff --git a/examples/unixemail.py b/examples/unixemail.py
deleted file mode 100755
index 51685311..00000000
--- a/examples/unixemail.py
+++ /dev/null
@@ -1,86 +0,0 @@
-#!/usr/bin/env python
-"""
-Create a directed graph, allowing multiple edges and self loops, from
-a unix mailbox. The nodes are email addresses with links
-that point from the sender to the recievers. The edge data
-is a Python email.Message object which contains all of
-the email message data.
-
-This example shows the power of XDiGraph to hold edge data
-of arbitrary Python objects (in this case a list of email messages).
-
-By default, load the sample unix email mailbox called "sample.mbox".
-You can load your own mailbox by naming it on the command line, eg
-
-python unixemail.py /var/spool/mail/username
-
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-03-22 13:57:46 -0700 (Tue, 22 Mar 2005) $"
-__credits__ = """"""
-# Copyright (C) 2005 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-import email
-from email.Utils import getaddresses,parseaddr
-import mailbox
-import sys
-
-# unix mailbox recipe
-# see http://www.python.org/doc/current/lib/module-mailbox.html
-def msgfactory(fp):
- try:
- return email.message_from_file(fp)
- except email.Errors.MessageParseError:
- # Don't return None since that will stop the mailbox iterator
- return ''
-
-
-
-if __name__ == '__main__':
-
- import networkx as NX
- try:
- import pylab as P
- except:
- pass
-
- if len(sys.argv)==1:
- file="sample.mbox"
- else:
- file=sys.argv[1]
- fp=open(file,"r")
-
- mbox = mailbox.UnixMailbox(fp, msgfactory) # parse unix mailbox
-
- G=NX.XDiGraph(multiedges=True,selfloops=True) # create empty graph
-
- # parse each messages and build graph
- for msg in mbox: # msg is python email.Message.Message object
- (source_name,source_addr) = parseaddr(msg['From']) # sender
- # get all recipients
- # see http://www.python.org/doc/current/lib/module-email.Utils.html
- tos = msg.get_all('to', [])
- ccs = msg.get_all('cc', [])
- resent_tos = msg.get_all('resent-to', [])
- resent_ccs = msg.get_all('resent-cc', [])
- all_recipients = getaddresses(tos + ccs + resent_tos + resent_ccs)
- # now add the edges for this mail message
- for (target_name,target_addr) in all_recipients:
- G.add_edge(source_addr,target_addr,msg)
-
- # print edges with message subject
- for (u,v,m) in G.edges():
- print "From: %s To: %s Subject: %s"%(u,v,m["Subject"])
-
-
- try: # draw
- pos=NX.spring_layout(G,iterations=10)
- NX.draw_nx(G,pos,node_size=2000,alpha=0.5)
- P.show()
- except: # matplotlib not available
- pass
diff --git a/examples/words.dat b/examples/words.dat
deleted file mode 100644
index 8bd70a6a..00000000
--- a/examples/words.dat
+++ /dev/null
@@ -1,5762 +0,0 @@
-* File "words.dat" from the Stanford GraphBase (C) 1993 Stanford University
-* A database of English five-letter words
-* This file may be freely copied but please do not change it in any way!
-* (Checksum parameters 5757,526296596)
-aargh
-abaca 2
-abaci+1
-aback*2,2,3
-abaft
-abase+,,,,3
-abash+
-abate*,,2,,2
-abbey*3,1,3
-abbot*3,1
-abeam
-abend
-abets+1
-abhor*,,,,19
-abide*10,6,3,,34,1
-abled
-abler*,2
-abode+5,4,3,,11
-abort*,,,,,7
-about*12496,1813,1898,186,846,325,181
-above*2298,295,296,24,174,181,31
-absit ,,2
-abuse*9,16,10,12,13,1,3
-abuts+,,1,,,1
-abuzz
-abyss*5,4,4,,7
-ached*27,3,7
-aches*10,1
-achoo+1
-acids*59,7,1
-acing*
-acked
-acmes+
-acned
-acnes*
-acorn*10,,1
-acres*159,42,31,,1
-acrid*1,1,3,1
-acted*83,18,21,2,38,3
-actin
-actor*44,24,18,2
-acute*38,13,21,2,,5
-adage*1,3,4
-adapt*25,5,5,,,7
-added*972,172,221,5,29,67,18
-adder*2,,,,4
-addle+
-adept*4,4,1,2
-adieu+14,1,1
-adios*,1,2
-adlib+
-adman+
-admen 2
-admit*74,37,46,2,4,,2
-admix+
-adobe*40,2
-adopt*16,13,23,9,2,4,3
-adore*4,2,4
-adorn*6,1,4,1,8
-adult*152,25,36,6,,,1
-adzes*,,1
-aegis+,1
-aerie+1
-affix*5,1,22
-afire*13,1
-afoot*14,1,2
-afore*7,,1
-afoul+2
-after*5915,1067,1120,86,704,571,109
-again*3892,576,663,36,486,113,78
-agape 1,,2,,1
-agars
-agate*2,,,,5
-agave+2
-agent*79,44,29,,1
-agile*11,2,2,,1
-aging*13,4,,,1
-agley
-aglow+3,,2,,1
-agone
-agony*23,9,23,,5
-agora+
-agree*262,51,107,23,15,14,1
-agues+
-ahead*639,109,92,17,23,35,2
-ahhhh+,,1
-ahold+
-ahoys
-aided*25,11,8,,3
-aider
-aides*6,4,1
-ailed*1
-aimed*45,24,21,8,1
-aimer+
-aioli
-aired*,2,3
-airer
-aisle*15,6,5
-aitch
-ajuga
-alack+6
-alarm*105,16,28,1,17,1
-album*11,6,1
-alder*8
-aleck+2,2
-aleph+4
-alert*63,32,16,3,3,2,1
-algae*64,7,4
-algal 1
-algin
-alias*,1,1
-alibi*3,8,3
-alien*17,16,26,2,21
-align+4,2,,,,1
-alike*463,20,24,8,29
-alive*376,57,52,3,132,4
-alkyd
-alkyl
-allay*2,1,2,1
-alley*43,8,4,1
-allot*3,1,,,5
-allow*229,72,75,24,15,33,16
-alloy*34,3,14,,1
-aloes+1,2,,,5
-aloft*25,3,4,,3
-aloha+8
-alone*825,194,218,10,167,2,5
-along*2835,355,250,15,114,10,11
-aloof*8,5,6,1,6
-aloud*230,13,13,1,51,,1
-alpha+9,,1,,,6
-altar*24,4,13,,432
-alter*32,15,14,2,3,1
-altho ,4,2
-altos*3,,1,,,1
-alums*
-alway 2
-amahs ,,2
-amass*2,2
-amaze*2,3
-amber*14,3,6
-ambit ,,2
-amble*1,,2
-ameba+23
-amend*2,2,4,1,5
-amens+
-amide ,1
-amigo*5,2
-amine
-amino+38,1
-amiss*2,2,2,2,4,2
-amity+1,1,1
-ammos
-among*1308,369,313,40,1021,9,22
-amour+
-amped
-ample*18,16,15,1,4
-amply+2,4,4,1,1,,1
-amuck+2
-amuse*23,3,3
-amyls
-anded+
-anent
-angel*45,9,13,,242
-anger*108,48,39,,316
-angle*462,51,40,,,67,2
-angry*402,44,42,4,117
-angst+
-anile
-anima ,,1
-anion+,1,4
-anise+1,2
-ankhs+
-ankle*40,8,8
-annas 4
-annex*14,1,2
-annoy*13,2,,,3
-annul+1,,1,,4
-annum+5,3,17
-anode*4,77,5
-anole 3
-anted+
-antes+
-antic*2,1
-antis
-antsy+
-anvil*33,1,,,2
-aorta*5,3
-apace+2,,1,,2
-apart*414,57,134,10,57,23,8
-apers
-aphid*4
-aphis 1,,1
-apian
-aping*,,1
-apish
-apnea
-aport
-apple*294,9,7,,8,,3
-apply*192,56,67,9,5,42,56
-apron*96,7,12
-apses+,1
-apsos
-aptly*5,4,2,2
-aquae
-aquas+
-arbor*7,,1
-arced*
-ardor*3,3
-areal 1
-areas*689,236,117,27,,3,4
-arena*26,7,5,,2
-argon*15,6,1
-argot+,1
-argue*49,29,27,10,6,,3
-arias+,,2
-arise*52,28,33,3,76,18,23
-arity
-armed*103,35,22,8,49,1,1
-armor*60,4,,,32
-aroma*9,3,5,,2
-arose*77,18,20,2,153,2
-arras
-array*57,11,3,,20,12,16
-arrow*193,13,1,,25,13
-arses
-arson*2,2,1
-artsy+
-arums
-asana
-ascot+
-ashen*2,2,1
-ashes*87,6,5,1,64
-aside*182,66,38,11,118,,1
-asked*2924,398,448,30,178,12,6
-asker
-askew*2,1,2
-aspen*9,2
-aspic*1
-assai
-assay*,1,3,,1
-assed
-asses*6,2,,,64
-asset*13,5,11,1
-aster*3
-astir*7,,1
-astro 1
-atilt
-atlas*39,,4,,,1
-atoll*6
-atoms*332,41,9,,,24
-atone*,1,1,,3
-atria
-attar
-attic*45,14,15
-audio+9,2
-audit+,4
-auger*13,,4
-aught 4
-augur+,,1,,1
-aunts*26,4,1
-aurae
-aural 1,1,3
-auras+
-auric
-autos*8,4
-avail+9,4,4,,11
-avant+4,1,1
-avast 3
-avers*
-avert*6,1,3,,7
-avian+
-avoid*246,58,69,14,13,42,6
-avows+
-await*19,9,8,1,5
-awake*134,19,13,1,29
-award*30,38,25,,1
-aware*172,84,83,7,14,6,2
-awash+3,1,,1
-aways+2
-awful*2,17,19,1,1,4
-awing
-awoke*54,9,6,,19
-axels
-axial+2,2
-axing+
-axiom+10,1,5
-axled
-axles*7,1,1,,4
-axman+
-axmen 1
-axons+2
-ayins+
-azine
-azoic
-azure+8
-babel+,,1
-babes*1,3,1,,15
-backs*99,15,3,,12,3
-bacon*99,8,21,,,2
-baddy
-badge*12,5,1
-badly*159,34,44,1,3,3
-bagel*
-baggy*11,4,3
-bahts
-bails*,,1
-bairn
-baits*1
-baize+,,1
-baked*93,8,5,,16,1
-baker*19,10,2,,9
-bakes*10,1,,,1
-balds
-baldy
-baled*3
-baler+1,,1
-bales*21,3,8
-balks+,1,,,,1
-balky+1
-balls*170,17,3,2,,,2
-bally 1
-balms+
-balmy*3,2
-balsa*6
-banal+1,2
-bands*142,11,28,2,10,1
-bandy+3
-banes*
-bangs*10,4
-banjo*32,1
-banks*219,23,24,5,1
-banns+,,2
-barbs*16,2
-bards+2,2
-bared*14,,1,,2
-barer*
-bares*1,,1
-barfs
-barfy
-barge*35,7,11
-baric
-barks*19,,1
-barky
-barms
-barmy+
-barns*44,4,,,4
-baron*13,2,2,,,1
-basal+3,,3
-based*361,119,140,25,5,73,31
-baser*1,1,2
-bases*131,23,26,2,54,5
-basic*517,170,81,14,,45,42
-basil+5
-basin*62,5,11,,17
-basis*189,184,144,10,1,6,15
-basks*
-bassi
-basso+1,1
-baste*5,,1
-batch*9,5,11,1
-bated+2
-bates
-bathe*22,4,6,1,29
-baths*18,5,14,,9
-batik+
-baton*11,5,5
-batty+
-bauds
-baulk ,,1
-bawdy+1,3
-bawls*
-bayed*,3
-bayou*3
-bazar ,,2
-beach*308,33,35,7,5
-beads*143,3,7,,1,,2
-beady+7,1,2,1
-beaks*29,,2
-beaky ,,1
-beams*66,13,2,,14
-beamy
-beano
-beans*199,9,7,,2
-beard*89,25,7,,18
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-beast*103,7,10,,147
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-beaus*
-beaut+1
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-bedew
-bedim
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-beefy+,1,1
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-beets*44,2
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-befog+
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-beige*15,1,3
-being*2092,709,962,86,303,187,28
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-belch*1,2,,,1
-belie+,,1
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-belly*46,23,6,,22
-below*3276,145,150,16,19,123,14
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-beryl+6,,,,6
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-besot
-bests*
-betas+
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-beths
-bevel*27,2,1
-bezel
-bhang
-bhoys ,,1
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-biddy+
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-bider
-bides*
-bidet+,,3
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-biffy
-biggy
-bight
-bigly
-bigot*
-biked*
-biker+
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-bilge+1,2
-bilgy
-bilks+
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-bimbo+
-binds*4,2,1,2,14
-binge+1,1
-bingo*1,,1
-biome
-biped+
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-biter+,1
-bites*41,8,3,,5
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-blats+
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-blear
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-blini
-blink*16,4,2
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-bloke+,1,4
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-blots*,4,1,,2,1
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-bocci
-bocks
-boded+,,1
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-bodge
-boffo+
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-bogus+1,3,4
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-bombe+
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-boned*1
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-bonne ,,2
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-bonus*21,2,18,,,3,11
-boobs+
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-booky
-booms*9,,,1
-boomy
-boons+
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-boozy+
-borax+14,1,4
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-borer+2,1
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-boson
-bossa+
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-bosun+
-botch+
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-bozos+
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-brans*
-brant
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-brava
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-bromo
-bronc+1,3
-bronx 1
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-bruin+
-bruit
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-brusk
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-buffo
-buffs*2,1
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-bumph
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-bunco+
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-bungs
-bunko
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-burgs+
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-burps+
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-burry
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-busby
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-bushy*25,,1
-busks
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-busty+
-butch+1
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-butyl+
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-buzzy
-bwana
-bylaw*
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-byway+
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-cabby+
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-calix
-calks
-calla
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-campo
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-caner
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-canna
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-caped+2
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-capon+
-capos+
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-carer
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-carom+
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-carpy
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-cased*,1
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-catty+
-caulk+
-cauls
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-cavil+
-cawed+3
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-ceded*1,,,1
-ceder
-cedes*
-ceils
-celeb
-cello*28
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-cento
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-chard+
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-chiff+
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-chino
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-churl
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-cordy
-cored*
-corer+
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-cotta+1
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-cowry+
-coxed+
-coxes+
-coyer
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-croak*9,1,,,1
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-cruft
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-cubit+6,,,,41
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-cuing
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-cunts
-cupid*
-cuppa
-cuppy
-curbs*5,3
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-curdy
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-curer
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-curie+
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-cushy+
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-cuspy+
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-debit+
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-decaf+
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-decor+2,4,3
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-decry+,2,1
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-dicut
-diddy
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-digit*191,1,1,,,25,9
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-dinar+
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-dings+,,1
-dingy*11,5,1
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-dinky+2,,1
-dints*
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-dirks*
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-disco+
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-doggy+
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-doter
-dotes*
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-drams+
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-drays+
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-drily+
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-droid+
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-drubs+
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-druid+
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-drunk*29,36,18,1,52
-dryad
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-duals+
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-ducat+1
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-duomo
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-dutch+
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-dweeb
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-dwelt*22,1,5,1,184,1
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-dynes+
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-easts
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-ebbed+1,,3,1
-ebony*4,3,3,,1
-echos+2
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-edify+,,,,1
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-egger
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-eking*
-eland
-elans
-elate+
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-elide+
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-elope*
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-email
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-emote+
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-ender
-endow*4,2
-endue
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-ensue*,2,,,,3
-enter*249,78,49,1,190,17,2
-entry*162,25,64,1,3,91,8
-envoi+
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-epact+
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-ephod ,,,,51
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-erode*4,,,1
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-eruct
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-esses+
-ester+27
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-etext
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-ethos+,4,3,2
-ethyl+17,4
-etude*1
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-evens*
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-every*3398,488,499,49,1089,145,97
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-excon
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-execs+
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-exude+
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-eying*5,2
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-facer
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-faddy+
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-fanin
-fanny+,1
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-fated+2,,2
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-fatly
-fatso+
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-fatwa
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-fauns
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-fawny
-faxed+
-faxer
-faxes+
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-fazes+
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-feces
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-fells*
-felon+,1,1
-felts*3,,1
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-femur+1,,1
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-fends+
-fenny
-feral
-fermi
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-ferny+6
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-fetor
-fetus*4
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-fewer*155,33,21,10,3,9,7
-fiats+
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-fiche+,1
-fichu+,,1
-fiefs*
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-fiery*49,7,1,,26
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-fifty*306,68,98,,129,1
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-filar
-filch*
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-filer
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-finif
-finis
-finks+
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-fisty
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-fixer+
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-fixit+
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-flics
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-flips*9,1,,,,,13
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-flubs+
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-flume+
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-foist+
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-folia
-folic
-folio+,,1,1,,2
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-folly*7,7,14,2,57
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-forky
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-foxed*,,2
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-fungo+
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-funky+1
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-furor+1,3
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-furze+
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-fusee
-fuses*10,3,2
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-fuzes
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-gamer
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-gamey+
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-gamin+
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-ganef
-gangs*6,6,3,1
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-gaped*8,3,4,,1
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-gapes*
-gappy
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-gator
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-gauzy*1,,1
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-gazes*7,1
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-gecko+3,,,,1
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-gelds+
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-genus*31,2
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-geoid
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-gesso+
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-ghoti
-ghoul+2,1
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-gibed+
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-gibes+,1
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-gills*58,,1
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-gimel+
-gimme+1,1,,,,5
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-gimpy
-ginny
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-girly+
-giros
-girth*8,1
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-gismo+
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-gizmo+
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-glean+1,1,1,,9
-glebe
-glees ,1
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-glitz+
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-glory*93,18,23,,462,,1
-gloss*8,1,4,2
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-gluer
-glues*4,,,,1,1
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-gluon
-gluts*
-glyph+8
-gnarl+
-gnash*,,,,9
-gnats*9,,,,8
-gnaws*3,,,,1
-gnome*1,1,1
-goads*,,,,3
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-golly+14,2,1
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-hawed+
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-hazer
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-hemps*
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-henge
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-hexad
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-hexer
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-hicks+
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-himbo
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-hippo+2
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-hirer+
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-hiver
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-hocks+3
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-holed+1,1
-holer
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-holon
-homed+
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-honer
-hones+
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-hooey+,,1
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-hoper
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-horsy+
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-hotly*10,2,6,,4
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-houri+
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-house*2705,403,415,24,1891,1,4
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-humpy+1
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-hurly
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-hussy+
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-huzza
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-hying
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-hyped+
-hyper+
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-hypos
-iambs
-icers
-ichor
-icier*
-icily*1,,2
-icing*10,1,18
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-ikats+
-ikons
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-ileus
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-ilium
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-imams+2
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-indie
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-ivied+
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-ixnay
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-jades+
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-japan
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-jocks+
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-johns
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-joyed
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-jukes
-julep+,2
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-jumpy*6,2,1
-junco
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-kabob+
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-kapok
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-keyer
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-kiddo+1
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-krone
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-kulak
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-lawzy
-laxer+,,1
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-leach*
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-leers*1
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-legit+,,,,,,1
-legos
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-letup+2
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-licit
-licks*9,,,,1
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-liest
-lieth
-lifer+,1
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-lilac*10,1,5
-lilts*
-lilty
-limbo+,1
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-limed ,,2
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-limos+
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-lings
-links*47,7,19,2,,2
-lints*
-linty+
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-lipid+
-lippy
-liras
-lisle
-lisps*
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-lithe*6,4
-litho
-litre ,,1,1
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-liven+2
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-livre
-llama*18
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-loafs*
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-loamy+1,,1
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-lobar
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-lobes*2,5,5,,,1
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-loess 8
-lofts*
-lofty*32,5,1,,21
-loges
-loggy
-logic*21,16,19,3,1,3,3
-login
-logos+1,,,,,2
-loins*4,2,,,62
-lolls*
-lolly 8,,2
-loner+2
-longs*1,1,1,,7
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-looky+1,1
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-loony+
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-loopy+
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-loped*4,1
-loper
-lopes*1
-loppy
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-lordy
-lores*,,1
-lorry+,,1
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-lossy
-lotsa
-lotta 2
-lotto+
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-louse*2,3,2,,,1
-lousy*8,11,2
-louts+1
-loved*347,56,68,2,112
-lover*41,16,23,1,6
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-lowed*
-lower*659,119,118,29,19,35,58
-lowly*18,,2,,17
-loxes
-loyal*38,18,15,2,12
-luaus+
-lubes+
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-lucks*,1
-lucky*166,21,39,1,,4,1
-lucre 1
-lulab ,,2
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-lulus+
-lumen+,1
-lumps*43,3,5,,1
-lumpy+6,2,1
-lunar*55,10,2
-lunch*357,33,63
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-moxie+
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-mussy
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-muter
-mutes*3
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-oared
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-ogled+,2
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-oldie+
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-oweth
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-pewit
-pffft
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-pryer
-psalm*6,2,10,,4
-pseud
-pshaw 1
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-psych+
-pubes
-pubic
-pubis
-pucks*
-pudgy+2
-puffs*27,1,3,,2
-puffy*4,2
-puked+
-pukes+
-pukka 1,,1
-pulls*134,9,4
-pulps*
-pulpy*2,,2
-pulse*53,9,7
-pumas*3
-pumps*51,5,1
-punch*54,5,8,1,,,4
-punks*1,1
-punky
-punny
-punts*,,1
-pupae*19
-pupal
-pupas*1
-pupil*95,20,23,,1
-puppy*87,2
-puree+2
-purer*4,,1,,2
-purge*4,2,6,1,14
-purls 1
-purrs*
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-purty 3
-pushy+
-pussy*8,5
-putts*
-putty*10,1,1
-pygmy*5
-pylon+2
-pyres*
-pyxie
-qophs
-quack*23,9,3
-quads+1,,,,,2
-quaff*,,1
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-quais+
-quake*9,2,,,8
-qualm*
-quals+
-quark+
-quart*85,3,2,,1
-quash+
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-quays*3,,1
-queen*206,21,13,3,36,,2
-queer*102,6,14
-quell*1,2,,,,,1
-query*3,1,3
-quest*18,16,12,4,,,2
-queue*4,,7,1
-quick*394,67,70,4,8,7,6
-quids
-quiet*533,75,79,2,48,2
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-quint+,4,2
-quips*
-quipu+6
-quire+2,,1
-quirk*4,1
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-quite*967,281,484,28,6,80,38
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-quoin
-quoit
-quota*12,3,7,3
-quote*13,17,17,1,1,34
-quoth+7
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-radon+1
-rafts*16,1,1,,3
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-rages*5,1,,1,2
-raids*19,5,4,,5
-rails*59,9,5
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-rainy*122,4,3,,1
-raise*344,51,38,12,77,3,4
-rajah*,1
-rajas
-raked*18,4,1
-raker+
-rakes*,,1
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-rands
-randy+
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-rants+
-raped+2,2
-raper+
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-rasae
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-rater
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-ratty+1
-raved*,,1,,2
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-raver
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-rawer+
-rawly
-rayed 1
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-razer
-razes*
-razor*20,15,5,,8,1
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-reams*3,2
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-rebar
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-rebid+
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-rebus+1
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-recta
-recto+
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-recut+
-redid+
-redip
-redly 1
-redox
-redux
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-reeks+
-reeky
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-reeve
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-refit*1,,1
-refix+
-refly
-refry
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-rehab+
-reify+
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-relet
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-reman
-remap
-remit*,,1,,,1
-remix+
-renal ,1,3
-rends*
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-rente
-rents*7,4,33,2
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-repro+
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-resaw
-resay
-reset+3,,,,,11
-resew+
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-retch+,1,1
-retro+
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-revet
-revue+3,,6
-rewed+
-rheas+
-rheum 1,1
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-rhumb
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-rials
-ribby
-riced
-ricer
-rices
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-ridge*82,12,15,,1
-ridgy
-rifer
-rifle*140,61,2
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-rigid*49,24,23,3,1,5
-rigor*2,,2,,4,,2
-riled+2
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-rille
-rills*2
-rimed 1
-rimer
-rimes
-rinds*2
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-riots*15,1,7,1
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-riper*
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-riser+7,,1
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-rites*10,4,4,,6
-ritzy+
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-rived
-riven+,1,,1
-river*1170,78,83,12,106
-rives
-rivet*22,,2
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-roams*1,,1
-roans+
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-roast*55,10,6,,1
-robed*3,1,,,3
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-roble
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-rodeo*52,1
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-rogue*3,1,1
-roids
-roils+
-roily
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-roman+,,1,4,,77
-romps*
-rondo+27
-roods
-roofs*63,5,8,,4
-rooks*
-rooky
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-roomy*5,1,3
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-roots*444,23,24,,24,8,31
-rooty
-roped*13,1,2
-roper+3
-ropes*99,4,11,,17
-roses*82,7,16,,2,1
-rosin+9
-rotor*20,6,14
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-round*1076,77,335,10,262,37,14
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-roust+
-route*196,33,21,,2,3,2
-routs*1
-roved*,1
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-rowan ,,1
-rowdy+4,4,2
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-rower+
-royal*105,27,163,7,83,1
-rubes+
-ruble+
-ruche
-ruddy*6,3,2,,4
-ruder*
-ruffs*1,,1
-rugby*2,,5
-ruing
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-rules*444,76,72,9,30,272,26
-rumba
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-rumps*4
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-runic+3
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-ruses*
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-russe ,1
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-rutty+
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-sacks*35,1,7,,1
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-sager
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-sahib
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-salad*84,9,8
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-salon+4,1,3
-salsa+
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-salve*1,3,3,,1
-salvo+2,2
-samba+2
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-sandy*117,6,11,,1
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-sappy+,1
-saran
-sarge+
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-sates
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-satyr*,,,,1
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-sauna+
-saute+1,1
-saved*256,43,51,7,137,18,4
-saver+4,1
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-savor*3,1
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-sawed*14,,,,1
-sawer
-saxes+,,1
-sayer+
-scabs*2,,,,2
-scads*
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-scale*737,55,115,4,6,12,4
-scalp*34,4,4,,2
-scaly*9
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-scams+
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-scant*10,5,1,2,4
-scare*55,3,3,3,1
-scarf*50,4,6
-scarp 3
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-scary*23,2,,1,,2,3
-scats
-scene*302,102,100,4
-scent*69,6,15,1,5
-schmo
-schwa*79
-scion+,1
-scoff*7,,1,,7
-scold*19
-scone+
-scoop*16,5
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-scope*24,27,42,12,,8,6
-scops ,1
-score*411,66,77,4,,1,8
-scorn*18,4,6,,2
-scour*2,1,2
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-scowl*7,,1
-scows*3
-scram*2,,1
-scrap*43,8,7,2
-screw*100,20,9
-scrim+,1
-scrip+1,,6
-scrod+
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-scrum ,,1
-scuba*13
-scudi
-scudo
-scuds
-scuff*5,1
-scull*,,1
-scums*
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-scuzz+
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-seamy+,,1
-sears*
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-sebum
-secco ,3
-sects*8,2
-sedan*6,2
-seder+,,3
-sedge*
-sedgy
-sedum
-seeds*560,42,19,1,9
-seedy+1,,2
-seeks*25,10,11,2,41
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-seest ,,,,4
-seeth
-segue+1
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-seize*40,5,4,,48
-selah
-selfs
-sells*66,13,5,1,12
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-semis+
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-sepal+
-sepia+,1
-sepoy
-septa ,6
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-serum*10,18,22
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-servo+,5
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-seven*687,106,116,15,488,40,9
-sever*4,3,2,,1
-sewed*33,1,2,,2
-sewer*8,9
-sexed
-sexes*8,11,9,1
-shack*40,1,6
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-shady*30,1,4
-shaft*69,11,13,,12
-shags+
-shahs+
-shake*143,17,17,,32
-shako
-shaky*19,5,3,3
-shale*19,,3,1
-shall*1051,266,355,11,6976,113,7
-shalt+22,,8,,2
-shame*67,21,18,1,191
-shams*,1
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-shard+
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-shave*15,6,1,,14
-shawl*40,3,1
-shawm
-shays
-sheaf*6,3,2,,7
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-sheds*19,4,1,,6
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-sheer*50,14,27,,4,,1
-sheet*367,45,46,,2,2,1
-sheik*,4
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-shell*245,21,12
-sherd ,,,,1
-shews
-shied+3,3,,1
-shier
-shies+1,1
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-shiki
-shill+,1
-shims+1,1
-shine*157,4,5,,36
-shins*3
-shiny*123,3,15
-ships*731,44,37,2,37,2
-shire+
-shirk*1,,1
-shirr
-shirt*222,26,29,,1
-shish+,1
-shits
-shlep
-shmoo
-shnor
-shoal*3,,5,,2
-shoat
-shock*100,31,53,1,2
-shoed+
-shoer
-shoes*461,44,36,,1
-shoji ,1
-shone*119,5,12,,2
-shook*420,57,53,1,14
-shoos*
-shoot*214,27,22,,16,,1
-shops*126,16,64,7
-shore*447,43,29,1,6
-shorn*4,,1,,5
-short*1534,208,228,16,23,58,1
-shots*78,29,36,1
-shout*143,9,10,,46
-shove*15,2,2
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-shred*1,3,3
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-shrug*11,2,2
-shuck*
-shuns*1,2,1,,1
-shunt+1,1
-shush*2
-shute ,,1
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-shyer*1
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-sibyl
-sicko+
-sicks
-sided*4,1,,1,2
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-siege*12,5,3,1,41
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-sight*565,86,98,4,345,,1
-sigma+,,,,,2,1
-signs*352,68,52,5,101,89,2
-silks*21,,9
-silky*32,1,3
-sills*6,,1
-silly*150,15,29,1,3,4,1
-silos*1,2,1
-silts*2
-silty+
-since*2041,624,541,62,196,373,251
-sines+,,,,,2,1
-sinew*12,,,,3
-singe*1
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-sinus*1,1
-sired+,3,2
-siree+3
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-sires*
-sirup*1
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-sissy+5,,,1
-sitar+1
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-sixes*22
-sixth*99,20,14,1,50,4,1
-sixty*108,21,23,1,47
-sized*10,4,3
-sizer
-sizes*201,12,14,,,39,9
-skate*33,1,1
-skeet+,2
-skein*3
-skews*
-skids+,1
-skied*2
-skier*11,,1
-skies*74,9,4,,14
-skiff*14,9
-skill*262,41,42,,19,1
-skimp*1
-skims*3
-skins*168,7,5,,19
-skint ,,2
-skips*21,1,3,,1,6
-skirt*123,21,24,,9
-skits*2,1,1
-skoal+1
-skulk*,1
-skull*77,3,4,,5
-skunk*7
-skyed+
-slabs*23,,5
-slack*13,8,5,,7,1,1
-slags*1
-slain*27,,,,165
-slake*1
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-slang*27,2,2
-slant*91,3,4,,,34
-slaps*11,1
-slash*37,3,2,,,22
-slate*20,6,3,,,1
-slats*6,1,2
-slave*175,30,4,,9
-slaws
-slays*1,,,,5
-sleds*34
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-sleep*717,65,61,6,88
-sleet*22,1,4
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-slews*2
-slice*88,13,17,,,,1
-slick*28,7,1,1,,2,3
-slide*182,20,7
-slier
-slily
-slime*11,,4,,2
-slims+
-slimy*7,,3
-sling*9,1,1,,9
-slink*5,,1
-slips*34,8,3,,8,1
-slits*24,2,1
-slobs+1
-sloes ,,1
-slogs+
-slomo
-sloop*11,1
-slope*146,19,18,,2,8,2
-slops*1
-slosh*4
-sloth*20,,1,,1
-slots*17,5,2,,,1,1
-slows*22,,,,,1
-slued
-slues*
-sluff+
-slugs*7,4,2
-slump*4,8,6,3
-slums*22,7,8
-slung*22,2,5,,2
-slunk*1
-slurp+2
-slurs*3,,,,,1
-slush*2
-sluts+
-slyer*
-slyly*9,2
-smack+14,4,3,,,2
-small*3555,529,522,21,101,86,9
-smart*109,21,11,,3,1,3
-smash*20,4,7
-smear*,2,1
-smell*378,34,30,1,12
-smelt*7,3,4,,1
-smile*281,58,76,,1
-smirk*3,3,1
-smite*3,,,,5
-smith*7,,2,,4
-smock*2,,8
-smogs
-smoke*328,40,42,1,62,20,1
-smoky*12,2,2
-smote*8,,1,,93
-smurf
-smuts
-snack*29,6,2
-snafu+
-snags*5,1,6
-snail*47,1,1,,1
-snake*226,42,18,,2
-snaky*1
-snaps*25,,1,,1
-snare*26,1,2,1,49
-snarf
-snark
-snarl*15,,3
-sneak*25,2,1,,,1
-sneer*5,1,3
-snide+
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-snipe*2
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-snits+
-snobs*2,1
-snood
-snook
-snoop*,1
-snoot+,,1
-snore*8,,3
-snort*14,3,5
-snots+
-snout*24,1,1,,1
-snows*29,7,,,2
-snowy*56,4,2,1
-snubs*,,1
-snuck+,1
-snuff*10,,1
-snugs
-soaks*16
-soaps*12,3
-soapy*8,1
-soars*5,,,,1
-sober*24,16,7,1,8
-socko+
-socks*78,7,8
-socle
-sodas*5
-sofas*2,3
-softs
-softy+
-soggy*16,3,2
-soils*54,15,26
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-soled*,,1
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-solid*390,77,61,3,4,8,1
-solon 1
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-solve*874,20,24,7,4,51,66
-somas
-sonar*25,7
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-sonic*8,2
-sonly+
-sonny+2,1,2
-sooth+
-soots*
-sooty+4,,1
-soppy+
-sorer*
-sores*5,3,1,,8
-sorry*282,47,70,1,7,6,1
-sorta+3
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-souls*25,23,11,,48,,1
-sound*4667,202,157,4,161,5
-soups*11,,1
-soupy+3
-sours*,1
-souse+
-south*709,62,107,49,122,1,1
-sowed*6,,2,,12
-sower+1,,1,,9
-soyas
-space*1499,175,114,10,12,551,27
-spacy+
-spade*7,4,2
-spake 8,,,1
-spang
-spank*4
-spans*6,5,1,,,7
-spare*94,23,26,3,51,1
-spark*76,10,6,,4,6
-spars*9
-spasm*4,3,6
-spate+1,2,2
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-spays+
-spazz
-speak*661,109,105,6,399,6,2
-spear*99,6,4,,6
-speck*27,7,3,,7
-specs+1,,,,,1,1
-speed*750,81,103,16,6,20,2
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-spelt+5,,9,,3
-spend*418,53,86,17,36,4,2
-spent*522,104,132,13,33,3
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-spics
-spicy*10,1
-spied*31,,1,,8
-spiel+1
-spier
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-spiff
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-spina
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-spiny*16
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-spite*173,56,79,4,14,8,2
-spits*5,,1,,2
-spitz 1
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-splay+
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-spoke*512,87,111,5,284,1
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-spoor
-spore*22
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-spots*157,31,15,2,5,2,18
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-sprat 1
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-spree*2,4,3,1
-sprig*2,1,,,1
-sprit 5
-sprog
-sprue ,2
-spuds*
-spued 1
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-spumy
-spunk*3,,,1
-spurn+1,,1,,8
-spurs*25,3,,,,1
-spurt*12,2,2
-sputa
-squab*1
-squad*16,17,2
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-squaw*16,1
-squib+1
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-staph+
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-stash+
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-stats+
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-stela
-stele
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-steno
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-stied
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-stoae
-stoas
-stoat 1,,1
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-stogy
-stoic+1
-stoke+1
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-stoma
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-story*2237,149,201,8,26,60,7
-stoup
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-stray*38,12,5,,3
-strep+2
-strew*2,,,,2
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-strop+
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-studs*8,3,1
-study*2581,241,146,11,4,50,25
-stuff*129,31,37,2,37,12,8
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-stunk*,1
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-styes
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-styli
-suave+,2,2
-sucks*1
-sudsy+
-suede*3,,1
-suers
-suets*
-suety+
-sugar*574,34,61,,,3
-suing*3,1
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-sully+
-sumac+6,1
-summa 1
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-sunny*116,12,12,1
-sunup*12
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-supes
-supra ,3
-suras+
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-surer*5,,1
-surfs*
-surge*20,9,5,1,2
-surly*3,2,2
-sushi+,2
-sutra+
-swabs*
-swags
-swain+1
-swami+,1
-swamp*64,5,1,1,1
-swank+1,1
-swans*15,1,,,1
-swaps*1
-sward 3,,1
-sware
-swarf ,,1
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-swart 2,1
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-swath+2,1,1
-swats*
-sways*2,,,,1
-swear*34,10,11,,59
-sweat*105,23,19,,5
-swede
-sweep*81,15,11,2,17
-sweet*319,69,43,,49
-swell*49,7,7,,7,1
-swept*161,34,28,4,19,1
-swift*131,14,19,,29,2
-swigs+
-swill*,,,1
-swims*47,,1
-swine*7,3,1,,15
-swing*189,20,13,12,1
-swipe*,2
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-swiss+36
-swive
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-sword*93,6,13,,48
-swore*28,14,9,,92
-sworn*9,5,4,1,54
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-syncs
-synod+1
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-tabus
-tacet
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-tacky+1
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-tacts
-taels
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-taint*3,1,1
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-taker+1
-takes*835,86,98,12,87,81,28
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-talon*
-talus+
-tamed*32,,1,,2
-tamer*1
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-tamps+
-tango+2,2
-tangs
-tangy*6,1
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-tansy+,1
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-tared ,,1
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-tarns+
-taros
-tarot+
-tarps+
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-tasks*63,29,18,1,4,6
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-tasty*29,2,3
-tater
-tatty
-taunt*3,4,,1,17
-taupe+
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-taxed*10,13,7,3,1
-taxer+
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-taxis*21,3,2
-taxol
-taxon
-teach*254,41,35,1,102,4
-teaks
-teals*
-teams*150,22,10,1
-tears*223,34,49,1,63,1
-teary 1
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-techs+,,1
-techy
-tecum
-teddy*4,2
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-teens*35,5,1,1
-teeny+2,,,,,2
-teeth*538,103,62,,54
-telex+
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-telly+,,5
-tempi+,,1
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-temps+,,4
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-tenet+1
-tenon+7
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-tepee*8
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-terce
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-terns+12
-terra+3,1,1
-terry ,1
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-tesla+
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-testy+1
-tetra
-texas+
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-thane+
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-thanx 1
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-thaws*7
-thees 1
-theft*11,10,8,,5
-their*13258,2667,2808,349,4889,216,9
-theme*183,55,45,1,1,1,1
-thens
-there*15194,2713,3321,305,2124,427,353
-therm
-these*11611,1571,1504,100,1128,422,241
-theta+,,,,,9,2
-thews+
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-thief*68,8,7,,28
-thigh*21,9,5,1,36
-thine*13,1,3,,32
-thing*1828,331,341,29,258,74,28
-think*4746,433,575,17,81,64,24
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-thong*6,1,,,4
-thorn*27,3,5,,7
-those*2647,850,957,136,1669,149,64
-thous
-three*4413,592,698,78,523,228,97
-threw*342,46,54,1,61,,1
-throb*6,,1
-throe+
-throw*281,41,19,6,52,,6
-thrum 1
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-thugs+1,2,,2
-thumb*150,11,13,,5,3
-thump*62,3,2
-thunk ,1
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-tiara*,,3,,2
-tibia+2
-ticks*18,2,,,,1
-tidal*59,1,7
-tided
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-tiers*,3,1,,2
-tiffs+
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-tikes
-tikis
-tilde+1,,,,,14
-tiled*7,4,1
-tiler
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-tills*,,,,2
-tilth ,1,1
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-timed*17,9,2
-timer+7
-times*2051,264,262,25,207,91,68
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-tines*5,2
-tinge*2,,2
-tings
-tinny+4
-tints*7,1,3
-tippy*
-tipsy+,2,1
-tired*461,48,52,,2,1,2
-tires*85,12,2
-tiros ,,1
-titan+1,,1
-titer+,4
-tithe*1,,6,,23
-title*302,54,61,1,2,63,2
-titre ,,1
-titty
-tizzy+
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-toady+
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-toddy+
-toffs+
-toffy
-togas*
-toile
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-toked+
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-toker+
-tokes+
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-tomes+,1
-tommy*1,7
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-toned*,,1
-toner+,3
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-tools*379,34,34,1,,3,9
-toons+
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-toots*4
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-toped+
-toper+
-topes+
-topic*370,9,12,1,,6,1
-topoi
-topos
-toque ,,2
-torah
-torch*28,2,10,,6
-toric
-torsi
-torso*1,7,2
-torte+
-torts+
-torus+
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-toted*2
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-toter
-totes*3
-totty
-touch*432,86,78,2,43,9,3
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-tours*7,9,3
-touts+
-toves 7
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-towns*337,50,90,1,78
-toxic*6,3,1,1
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-toyed*,,2
-toyer
-toyon
-trace*151,23,27,,5,6
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-tract*24,15,10,,,4
-trade*479,134,214,30,16,2
-trail*317,29,13
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-trams+1,,5,6
-trans 9
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-trays*19,3,6,,3
-tread*15,5,5,,3
-treap
-treat*113,26,20,,18,20,3
-treed+2
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-treks*2,,,1
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-tress*2
-trews
-treys
-triad+6,1,1
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-tribe*169,4,15,1,253
-tribs
-trice+3,,2
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-trier
-tries*123,13,20,2,1,25,1
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-trios*1
-tripe*2,,1
-trips*152,29,8,4,,,3
-trite*1,2,,1
-troll*9
-tromp+
-troop*35,9,3,,3
-troth+1,,,,1
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-trove+
-trows
-truce*8,5
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-trued
-truer*4,2,1
-trues
-truly*146,57,32,1,59,6,4
-trump+,1
-trunk*186,8,8,,1,3
-truss*13
-trust*103,50,74,3,96,,1
-truth*215,124,151,9,191,18,11
-tryst+
-tsars*2
-tuans ,,1
-tubal
-tubas*
-tubby+,,2
-tubed
-tuber*3
-tubes*177,24,14,,1
-tucks*8,,2
-tufas
-tufts*12,1,1
-tufty+,,1
-tulip*20,3,4
-tulle+1,1,1
-tummy+3,,3,,,1
-tumor*32,13
-tunas*
-tuned*65,3,2,,,,2
-tuner+7
-tunes*79,7,4,,1
-tunic*4,1,1,,5
-tunny
-tuple+
-turbo+1
-turds
-turdy
-turfs*
-turfy
-turns*440,38,29,,68,73,87
-turps ,,1
-tusks*38,3,,,1
-tusky ,,1
-tutor*16,4,15
-tutti ,,1
-tutus+
-tuxes+
-twain*7
-twang*8,,1
-twats
-tweak+,,,,,,1
-tweed*6,5,4
-tweet+
-twerp+
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-twigs*67,1,3,,2
-twill+3,,2
-twine*19,,,,1
-twink
-twins*67,8,3,,6
-twiny
-twirl*6
-twirp
-twist*81,17,18,,4
-twits+
-twixt+
-tying*22,5,2
-tykes+
-typal
-typed*9,3,4,,,71
-types*334,116,92,5,1,75,2
-typos+,,,,,1
-tyres ,,2
-tyros+
-tzars+
-udder*3
-ukase ,,1
-ulcer*5,5,2
-ulnar
-ulnas
-ultra*2,,3
-umbel
-umber+,4
-umbra*2
-umiak
-umped+2
-umpty+
-unapt
-unarc
-unarm
-unary+1,,,,,2
-unate
-unban
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-uncut+3,,,,,1
-under*2987,703,646,84,410,45,24
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-unhip
-unhit
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-unity*64,66,44,2,4,3,8
-unjam+
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-unman
-unmap
-unmet+
-unpeg
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-unsay
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-unsew
-unsex
-untie*14,2,,,9
-until*2596,461,478,47,497,115,56
-unwed+,12
-unwon
-unzip+1
-upend+
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-urban*50,41,28,3
-ureas
-urged*74,35,27,4,37
-urger
-urges*7,8,2,,1
-urine*20,1,7,,2
-usage*42,14,9,4,,19
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-usher*7,2,2
-using*1825,143,167,9,5,249,123
-usual*313,96,118,5,,45,16
-usurp*,1
-usury+
-uteri
-utero
-utter*25,13,13,,47
-uvula
-vacua
-vacuo
-vague*30,25,27,4,,2
-vagus+
-vails
-vales*2,,1
-valet*3,2,1
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-valor*5,1,,,31
-value*512,200,239,29,22,409,247
-valve*40,3,6
-vamps+
-vaned
-vanes*14
-vapes
-vapid+
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-varia
-vases*10,11,2
-vault*16,2,3,,3
-vaunt+,,1,,2
-veals*
-veeps+
-veers*2,1,,,,1
-vegan+
-veils*7,3,4,,3
-veins*79,6,16
-veiny+
-velar
-velds
-veldt+9,1
-venal+
-vends*
-venom*5,2,1,,7
-vents*2,4,2
-venue+,,2
-verbs*583,7,13
-verge*4,2,5,,,,1
-versa+8,6,3,1,,6,4
-verse*117,28,51,,,4
-verso+,,1
-verst
-verve+3,4,1
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-vetch+1
-vexed*5,2,4,2,6
-vexes*,1
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-viand+
-vibes+,1
-vicar*2,4,13
-vices*,5,1,,1
-video*2,2,,,,3
-viers
-views*117,51,83,12,1
-vigil*8,1,1
-vigor*27,14,,,6
-viler*
-villa*5,3,6
-ville
-villi
-vinca
-vined
-vines*66,8,3,,15
-vinyl*3,4
-viola*24,2
-viols+1
-viper*3,,1,,5
-viral+1
-vireo*
-vires ,,4
-virus*48,13,5
-visas*1
-vised
-vises*
-visit*443,109,143,2,39
-visor*6,,1
-vista*1,2,2
-vitae+2,,1
-vital*65,56,40,7,,1
-vitam
-vitas+
-vitro+,4
-vivas+
-vivid*67,25,14
-vivre ,,1
-vixen*2
-vizor+1
-vocab
-vocal*94,14,26
-vodka+4,,4
-vogue*2,4,3,2,,,1
-voice*1280,221,271,,463,1
-voids*,1
-voila+1
-voile*2
-volts*16,1,1
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-voter*7,4,1,9
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-vower
-voxel
-vroom 2
-vulva
-vying*1,3
-wacko+
-wacky+,1
-waded*33,2,2
-wader+
-wades*5
-wadis+1
-wafer*,,1,,3
-wafts*
-waged*8,7,2,2,4
-wager*8,3,,,2
-wages*74,42,61,7,41
-wagon*356,53,10,,1
-wahoo 1
-waifs*
-wails*2,2,,,2
-waist*80,11,16,,3
-waits*28,2,,1,11,3
-waive*,1,3
-waked*8,2,,,1
-waken*4,,2
-waker
-wakes*23,1,,,2
-waled+
-wales+1,2
-walks*140,13,10,,39,2,1
-walls*478,70,62,5,108
-waltz*29,1,12
-wands*2,,1,,1
-waned*5,2,1,,1
-wanes*2,,,,1
-wanly*1,,1
-wanna 6,5,3
-wanta 6,1
-wants*461,71,72,13,3,23,2
-wards*3,3,4,1
-wares*19,1,2,,14
-warms*31,1,1,,2
-warns*15,3,4,1,2,2
-warps*
-warts*4,5,1
-warty+9,1
-washy
-wasps*15,,,,1
-waspy
-wassa 1
-waste*191,35,55,9,120,2,2
-watch*969,80,80,4,68,17,2
-water*7194,436,387,10,518
-watsa 1
-watts*7
-waved*173,16,13,,13,,1
-waver*5,3,,,3
-waves*647,51,22,1,41
-waxed*173,4,6,,2
-waxen*3,1,2
-waxer+5
-waxes*647
-wazoo
-weald
-weals
-weans*
-wears*74,5,8,1,3,1
-weary*104,16,18,,48,1
-weave*53,4,3,,4
-webby
-weber
-wedge*34,4,1,1,1
-wedgy
-weeds*105,5,8,,12
-weedy*4,,3
-weeks*526,142,127,24,22,,1
-weeny
-weeps*3,,,,2
-weepy+
-weest
-wefts
-weigh*199,4,9,1,1
-weird*32,9,3,,,12,4
-weirs ,1
-welch+,5
-welds*2,,2,,,1
-wells*78,4,1,1,5
-welsh ,1
-welts*2,1,1
-wench+3
-wends*
-wests
-wetly 1,1
-whack*11,1,1,,,2
-whale*274,,8,,1
-whams+
-whang+
-wharf*42,2,6,3
-whats
-wheal
-wheat*342,9,12,10,53
-wheee 1
-wheel*418,54,32,,27,,4
-whelk*1
-whelm
-whelp*1,,,,2
-whens 2
-where*5611,930,1041,86,474,300,321
-whets*
-whews
-wheys*
-which*14016,3560,4467,347,3083,756,362
-whiff*6,1,2
-while*2837,679,590,110,384,132,35
-whims*1,1,1,1
-whine*13,4,2
-whiny+1
-whips*17,1,1,,6
-whipt 1
-whirl*26,3,2,,2
-whirr+5
-whirs*1
-whish+
-whisk*12,,1
-whist+5,,2
-white*2085,260,261,14,71,36,1
-whits*
-whizz+3
-whoas
-whole*1886,309,435,28,384,52,17
-whomp+1
-whooo 1
-whoop*19,1
-whops+
-whore 1,2,1
-whorl+
-whose*799,251,301,40,346,180,103
-whoso
-whump
-wicks*
-widen*14,5,3,2,,1
-wider*83,17,43,10,,17,1
-widow*54,24,28,,70,9
-width*149,14,12,,2,250,2
-wield*3,1,,,5
-wifey
-wilco
-wilds*13
-wiled
-wiles*4,2,,,4
-wills*8,1,2,,8
-wilts*1,,1
-wimps+
-wimpy+
-wince*4
-winch+4,,2
-winds*367,19,16,,32,,1
-windy*53,2,4,1,2
-wined+
-wines*20,24,25,,1
-winey
-wings*514,25,29,2,102
-winks*3,,,,4
-winos+,1
-wiped*79,19,14,1,16,2,3
-wiper+3
-wipes*4,,,,3,2,1
-wired*22,11,1
-wirer
-wires*205,13,6
-wised ,,1
-wiser*21,7,6,2,9
-wises
-wisps*8,1,1
-wispy*,2
-wists
-witch*109,5,2
-withs
-witty*4,10,8
-wives*68,17,50,2,15
-wizen
-woken*,,4
-wolds
-woman*750,217,243,5,409
-wombs*,,,,2
-women*592,184,198,14,251,,1
-wonks
-wonky
-wonts
-woods*557,24,12,,4,1
-woody*24
-wooed*1,1,2,,1
-wooer+
-woofs*1
-wools*
-wooly*
-woosh 3
-woozy+1
-words*11215,272,315,16,660,184,49
-wordy*3,1
-works*485,124,165,15,234,90,45
-world*2799,687,586,81,353,12,11
-worms*119,4,7,,13
-wormy*1,1
-worry*214,55,44,4,5,13,2
-worse*180,50,90,9,37,8,1
-worst*108,34,45,8,3,2,4
-worth*327,91,118,19,18,13,1
-worts
-would*11188,2714,2799,460,696,450,102
-wound*161,28,26,,31
-woven*84,9,3,,13
-wowed*1
-wowee
-wrack+1,1
-wraps*12,2,,,1,,1
-wrath*17,8,4,,278
-wreak*1,1,,,1
-wreck*75,8,8,1,1
-wrens*8
-wrest*4,1,,1
-wrier
-wring*6,2,1,,2
-wrist*61,9,17
-write*9846,106,101,3,89,105,125
-writs+1,1
-wrong*606,129,162,20,101,29,12
-wrote*877,181,120,5,103,6,1
-wroth ,,,,1
-wrung*7,,1,1,2
-wryer+
-wryly*3,3,4
-wurst+
-xenon+3,1
-xerox+
-xored
-xylem+1,4
-yacht*16,1,17
-yahoo
-yanks*3,1,,1
-yards*360,63,57,,1,1
-yarns*63,6,2
-yawed 1
-yawls 2
-yawns+1,,2
-yawny 1
-yawps 1
-yearn*4,1,1,,1
-years*3966,958,1086,185,594,9,15
-yeast*47,3,1
-yecch
-yella 7
-yells*26
-yelps*2,1
-yenta
-yerba
-yeses*
-yield*47,35,42,5,52,16,17
-yikes+
-yipes+1
-yobbo
-yodel*2,1
-yogas*
-yogic
-yogis+
-yoked*2,,,,3
-yokel+1,1
-yokes*4,,,,2
-yolks+12,,1
-yolky
-yores
-young*1920,367,485,22,358
-yourn 1
-yours*170,25,48,,76,2
-youse 1
-youth*201,75,48,8,102
-yowls*
-yoyos+
-yucca*12,1
-yucky+
-yukky
-yules*
-yummy+3
-yurts
-zappy
-zayin
-zeals*
-zebra*25,1
-zebus+1
-zeros*42,2,7,,,2,3
-zests*
-zesty+
-zetas+
-zilch+
-zincs
-zings+
-zingy+
-zippy+
-zloty
-zombi
-zonal+,,2
-zoned*,1
-zones*43,3,9,2
-zonks
-zooey
-zooks
-zooms*3,1
-zowie 4
-* End of file "words.dat"
diff --git a/examples/words.py b/examples/words.py
deleted file mode 100644
index ce1874bd..00000000
--- a/examples/words.py
+++ /dev/null
@@ -1,101 +0,0 @@
-"""
-The words.dat example from the Stanford Graph Base.
-
-SGBWords() returns an undirected graph over the 5757 5-letter
-words in the datafile words.dat. Two words are connected by an edge
-if they differ in one letter, resulting in 14,135 edges. This example
-is described in Section 1.1 in Knuth's book [1,2].
-
-References.
-----------
-
-[1] Donald E. Knuth,
- "The Stanford GraphBase: A Platform for Combinatorial Computing",
- ACM Press, New York, 1993.
-[2] http://www-cs-faculty.stanford.edu/~knuth/sgb.html
-
-"""
-
-__author__ = """Brendt Wohlberg\nAric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-04-01 07:56:04 -0700 (Fri, 01 Apr 2005) $"
-__credits__ = """"""
-__revision__ = ""
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-import re
-import sys
-
-__author__ = """"""
-__date__ = ""
-__credits__ = """"""
-__version__ = ""
-# $Header$
-
-
-#-------------------------------------------------------------------
-# The Words/Ladder graph of Section 1.1
-#-------------------------------------------------------------------
-
-def _notComment(line):
- return not(line.startswith('*'))
-
-
-def _wdist(a,b):
- """ Return simple edit distance between two words a and b. """
-
- d=abs(len(a)-len(b))
- for k in range(0,min(len(a),len(b))):
- if a[k] != b[k]:
- d = d + 1
- return d
-
-
-def words_graph():
- """ Return the words example graph from the Stanford GraphBase"""
-
- datafile = 'words.dat'
- words = map(lambda x: x[0:5], filter(_notComment, open(datafile).readlines()))
- if not words: # zero length
- raise StandardError, "error reading graph definition data in ", datafile
-
- G = Graph(name="words")
-
- for w in words:
- G.add_node(w)
- for k in xrange(0,len(words)):
- for l in xrange(k+1,len(words)):
- if _wdist(words[k],words[l]) == 1:
- G.add_edge(words[k],words[l])
-
- return G
-
-
-
-
-if __name__ == '__main__':
- from networkx import *
- print "Loading words.dat"
- G=words_graph()
- print "Loaded Donald Knuth's words.dat containing 5757 five-letter English words."
- print "Two words are connected if they differ in one letter."
- print "graph has %d nodes with %d edges"\
- %(number_of_nodes(G),number_of_edges(G))
-
- sp=shortest_path(G, 'chaos', 'order')
- print "shortest path between 'chaos' and 'order' is:\n", sp
-
- sp=shortest_path(G, 'nodes', 'graph')
- print "shortest path between 'nodes' and 'graph' is:\n", sp
-
- sp=shortest_path(G, 'pound', 'marks')
- print "shortest path between 'pound' and 'marks' is:\n", sp
-
- print number_connected_components(G),"connected components"
-
-
diff --git a/examples/write_dotfile.py b/examples/write_dotfile.py
deleted file mode 100644
index 96cbde58..00000000
--- a/examples/write_dotfile.py
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/usr/bin/env python
-"""
-Draw a graph with neato layout using pydot to create dot graph object
-with node colors.
-"""
-__author__ = """Aric Hagberg (hagberg@lanl.gov)"""
-__date__ = "$Date: 2005-03-28 13:05:55 -0700 (Mon, 28 Mar 2005) $"
-__credits__ = """"""
-__revision__ = "$Revision: 882 $"
-# Copyright (C) 2004 by
-# Aric Hagberg <hagberg@lanl.gov>
-# Dan Schult <dschult@colgate.edu>
-# Pieter Swart <swart@lanl.gov>
-# Distributed under the terms of the GNU Lesser General Public License
-# http://www.gnu.org/copyleft/lesser.html
-
-from networkx import *
-try:
- from NX.drawing.nx_pydot import *
-except:
- print
- print "pydot not found see https://networkx.lanl.gov/Drawing.html for info"
- print
- raise
-
-
-
-
-G=grid_2d_graph(5,5) # 5x5 grid
-P=pydot_from_networkx(G)
-for n in P.node_list:
- if int(n.name)>10:
- n.color="red"
- n.style="filled"
- if int(n.name)>20:
- n.shape="circle"
- n.style="filled"
- n.color="blue"
-
-P.write("grid.dot")
-print "Now run: neato -Tps grid.dot >grid.ps"
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