def measure_dict(net, m="selectivity", d="undirected"):
if d == "out":
if m == "selectivity":
measure = measures.out_selectivity(net)
elif m == "degree":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.out_degree()
elif m == "strength":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.out_degree(weight='weight')
elif d == "in":
if m == "selectivity":
measure = measures.in_selectivity(net)
elif m == "degree":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.in_degree()
elif m == "strength":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.in_degree(weight='weight')
elif d == "undirected":
if m == "selectivity":
measure = measures.selectivity(net)
elif m == "degree":
g = nx.read_weighted_edgelist(net)
measure = g.degree()
elif m == "strength":
g = nx.read_weighted_edgelist(net)
measure = g.degree(weight='weight')
return measure
def measure_dict(net, m="selectivity", d="undirected"):
if d == "out":
if m == "selectivity":
measure = measures.out_selectivity(net)
elif m == "degree":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.out_degree()
elif m == "strength":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.out_degree(weight='weight')
elif d == "in":
if m == "selectivity":
measure = measures.in_selectivity(net)
elif m == "degree":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.in_degree()
elif m == "strength":
g = nx.read_weighted_edgelist(net, create_using=nx.DiGraph())
measure = g.in_degree(weight='weight')
elif d == "undirected":
if m == "selectivity":
measure = measures.selectivity(net)
elif m == "degree":
g = nx.read_weighted_edgelist(net)
measure = g.degree()
elif m == "strength":
g = nx.read_weighted_edgelist(net)
measure = g.degree(weight='weight')
return measure
def entropy(self):
parser = argparse.ArgumentParser(prog='entropy',
parents=[Measure.parent_parser])
parser.add_argument('measure')
args = parser.parse_args(sys.argv[3:])
if args.measure == 'in_selectivity':
measure_dict = measures.in_selectivity(args.network)
elif args.measure == 'out_selectivity':
measure_dict = measures.out_selectivity(args.network)
elif args.measure == 'selectivity':
measure_dict = measures.selectivity(args.network)
elif args.measure == 'in_ipr':
measure_dict = measures.in_ipr(args.network)
elif args.measure == 'out_ipr':
args.measure = measures.out_ipr(args.network)
print measures.entropy(measure_dict)
def entropy(self):
parser = argparse.ArgumentParser(prog='entropy',
parents=[Measure.parent_parser])
parser.add_argument('measure')
args = parser.parse_args(sys.argv[3:])
if args.measure == 'in_selectivity':
measure_dict = measures.in_selectivity(args.network)
elif args.measure == 'out_selectivity':
measure_dict = measures.out_selectivity(args.network)
elif args.measure == 'selectivity':
measure_dict = measures.selectivity(args.network)
elif args.measure == 'in_ipr':
measure_dict = measures.in_ipr(args.network)
elif args.measure == 'out_ipr':
args.measure = measures.out_ipr(args.network)
print measures.entropy(measure_dict)
