def cor(ent1, ent2):
ls1 = []
ls2 = []
for elm in utils_distance.get_elements(ent1, ent2):
if elm in ent2 and elm in ent1:
ls1.append(ent1[elm])
ls2.append(ent2[elm])
#elif elm in ent1:
# ls1.append(ent1[elm])
# ls2.append(float(0))
#else:
# ls1.append(float(0))
# ls2.append(ent2[elm])
return utils_stats.pcc(ls1, ls2)
import utils, utils_plot, utils_distance
d = {'web':utils.get_seq2count_dict('results/human.website.elm.elmdict',
float(.01)),
'regex':utils.get_seq2count_dict('results/hprd_new.regex.elms.elmdict',
float(.01))}
elms = utils_distance.get_elements(d['web'], d['regex'])
for elm in elms:
utils_plot.elm_host_barplot(d, elm, 'plots/hprd/' + elm + '.png')
