graphml_1.py

import urllib.request
import io
import zipfile
import numpy as np
import networkx as nx
import matplotlib as mpl
import matplotlib.pyplot as plt

def GetGraphMetrics(graph):

    graph_degree = dict(graph.degree)
    print("Graph Summary:")
    print(f"Number of nodes : {len(graph.nodes)}")
    print(f"Number of edges : {len(graph.edges)}")
    print(f"Maximum degree : {np.max(list(graph_degree.values()))}")
    print(f"Minimum degree : {np.min(list(graph_degree.values()))}")
    print(f"Average degree : {np.mean(list(graph_degree.values()))}")
    print(f"Median degree : {np.median(list(graph_degree.values()))}")
    print("")
    print("Graph Connectivity")
    try:
        print(f"Connected Components : {nx.number_connected_components(graph)}")
    except:
        print(f"Strongly Connected Components : {nx.number_strongly_connected_components(graph)}")
        print(f"Weakly Connected Components : {nx.number_weakly_connected_components(graph)}")
    print("")
    print("Graph Distance")
    print(f"Average Distance : {nx.average_shortest_path_length(graph)}")
    print(f"Diameter : {nx.algorithms.distance_measures.diameter(graph)}")
    print("")
    print("Graph Clustering")
    print(f"Transitivity : {nx.transitivity(graph)}")
    print(f"Average Clustering Coefficient : {nx.average_clustering(graph)}")
    return None

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

d = dict(G.degree)
low, *_, high = sorted(d.values())
norm = mpl.colors.Normalize(vmin=low, vmax=high, clip=True)
mapper = mpl.cm.ScalarMappable(norm=norm, cmap=mpl.cm.twilight_shifted)

options = {
    "node_size": 50,
    "linewidths": 0,
    "width": 0.1,
}

plt.figure(figsize =(30, 18))
nx.draw(G,
        nodelist=d,
        node_color=[mapper.to_rgba(i)
                    for i in d.values()])
plt.show()

GetGraphMetrics(G)