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This documents an unmaintained version of NetworkX. Please upgrade to a maintained version and see the current NetworkX documentation.

Heavy Metal Umlaut

Example using unicode strings as graph labels.

Also shows creative use of the Heavy Metal Umlaut: https://en.wikipedia.org/wiki/Heavy_metal_umlaut

Out:

[u'Blue \xd6yster Cult', u'Mot\xf6rhead', u'H\xfcsker D\xfc', u'M\xf6tley Cr\xfce', u'Sp\u0131n\u0308al Tap', u'Deatht\xf6ngue', u'Queensr\xffche']

# Author: Aric Hagberg (hagberg@lanl.gov)

#    Copyright (C) 2006-2018 by
#    Aric Hagberg <hagberg@lanl.gov>
#    Dan Schult <dschult@colgate.edu>
#    Pieter Swart <swart@lanl.gov>
#    All rights reserved.
#    BSD license.

import matplotlib.pyplot as plt
import networkx as nx

try:
    hd = 'H' + unichr(252) + 'sker D' + unichr(252)
    mh = 'Mot' + unichr(246) + 'rhead'
    mc = 'M' + unichr(246) + 'tley Cr' + unichr(252) + 'e'
    st = 'Sp' + unichr(305) + 'n' + unichr(776) + 'al Tap'
    q = 'Queensr' + unichr(255) + 'che'
    boc = 'Blue ' + unichr(214) + 'yster Cult'
    dt = 'Deatht' + unichr(246) + 'ngue'
except NameError:
    hd = 'H' + chr(252) + 'sker D' + chr(252)
    mh = 'Mot' + chr(246) + 'rhead'
    mc = 'M' + chr(246) + 'tley Cr' + chr(252) + 'e'
    st = 'Sp' + chr(305) + 'n' + chr(776) + 'al Tap'
    q = 'Queensr' + chr(255) + 'che'
    boc = 'Blue ' + chr(214) + 'yster Cult'
    dt = 'Deatht' + chr(246) + 'ngue'

G = nx.Graph()
G.add_edge(hd, mh)
G.add_edge(mc, st)
G.add_edge(boc, mc)
G.add_edge(boc, dt)
G.add_edge(st, dt)
G.add_edge(q, st)
G.add_edge(dt, mh)
G.add_edge(st, mh)

# write in UTF-8 encoding
fh = open('edgelist.utf-8', 'wb')
fh.write('# -*- coding: utf-8 -*-\n'.encode('utf-8'))  # encoding hint for emacs
nx.write_multiline_adjlist(G, fh, delimiter='\t', encoding='utf-8')

# read and store in UTF-8
fh = open('edgelist.utf-8', 'rb')
H = nx.read_multiline_adjlist(fh, delimiter='\t', encoding='utf-8')

for n in G.nodes():
    if n not in H:
        print(False)

print(list(G.nodes()))

pos = nx.spring_layout(G)
nx.draw(G, pos, font_size=16, with_labels=False)
for p in pos:  # raise text positions
    pos[p][1] += 0.07
nx.draw_networkx_labels(G, pos)
plt.show()

Total running time of the script: ( 0 minutes 0.045 seconds)