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"""
========
Football
========
Load football network in GML format and compute some network statistcs.
Shows how to download GML graph in a zipped file, unpack it, and load
into a NetworkX graph.
Requires Internet connection to download the URL
http://www-personal.umich.edu/~mejn/netdata/football.zip
"""
import urllib.request
import io
import zipfile
import matplotlib.pyplot as plt
import networkx as nx
url = "http://www-personal.umich.edu/~mejn/netdata/football.zip"
sock = urllib.request.urlopen(url) # open URL
s = io.BytesIO(sock.read()) # read into BytesIO "file"
sock.close()
zf = zipfile.ZipFile(s) # zipfile object
txt = zf.read("football.txt").decode() # read info file
gml = zf.read("football.gml").decode() # read gml data
# throw away bogus first line with # from mejn files
gml = gml.split("\n")[1:]
G = nx.parse_gml(gml) # parse gml data
print(txt)
# print degree for each team - number of games
for n, d in G.degree():
print(f"{n:20} {d:2}")
options = {"node_color": "black", "node_size": 50, "linewidths": 0, "width": 0.1}
pos = nx.spring_layout(G, seed=1969) # Seed for reproducible layout
nx.draw(G, pos, **options)
plt.show()
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