def draw_top_compare():
""" Plot results of top_compare
"""
ifname = "data/mesos0825_s0dot2/mesos0825_s0dot2_stat"
res = []
for line in open(ifname):
group, kn, mesos_sim, motif_supp, mesos, motif = line.strip("\r\n").split("\t")
mesos = loads_mobgraph(mesos)
motif = loads_mobgraph(motif)
res.append((int(group), int(kn), float(mesos_sim), float(motif_supp), mesos, motif))
ncol = 5
nrow = np.ceil(1.0 * len(res) / ncol)
plt.figure(figsize=(20, 40))
for i in range(len(res)):
motif = res[i][5]
supp = res[i][3]
plt.subplot(nrow, ncol, i + 1)
draw_networkx(motif)
plt.title("%.1f%%, nn=%d" % (supp * 100, motif.number_of_nodes()))
plt.savefig("figures/mesos0825_s0.2_top_motif.pdf")
def draw_top_compare():
""" Plot results of top_compare
"""
ifname = 'data/mesos0825_s0dot2/mesos0825_s0dot2_stat'
res = []
for line in open(ifname):
group, kn, mesos_sim, motif_supp, mesos, motif = line.strip(
'\r\n').split('\t')
mesos = loads_mobgraph(mesos)
motif = loads_mobgraph(motif)
res.append((int(group), int(kn), float(mesos_sim), float(motif_supp),
mesos, motif))
ncol = 5
nrow = np.ceil(1.0 * len(res) / ncol)
plt.figure(figsize=(20, 40))
for i in range(len(res)):
motif = res[i][5]
supp = res[i][3]
plt.subplot(nrow, ncol, i + 1)
draw_networkx(motif)
plt.title('%.1f%%, nn=%d' % (supp * 100, motif.number_of_nodes()))
plt.savefig('figures/mesos0825_s0.2_top_motif.pdf')
def loads_mesos(S):
return loads_mobgraph(S)
def loads_mesos(S):
return loads_mobgraph(S)
