def tfidf(t, d, D):
return ntf(t, d) * idf(t, D)
W = dict()
# IDFS = dict()
D_ = sorted(D.keys())
# print D
print ["TERM"] + [d for d in D_]
for term in W_:
# W[term] = dict()
temp = [term]
# IDFS[term] = idf(term, D)
for di in D_:
if not di in inmutfable[term]:
temp.append(0)
else:
t = inmutfable[term][di]
temp.append(ntf(t, di, W=inmutfable, D=D) * idf(term, D))
print temp
# for di in inmutfable[term]:
# t = inmutfable[term][di]
# print inmutfable[term][di]
# W[term][di] = ntf(t, di, W=inmutfable, D=D) * idf(term, D)
# matrixtfidf = [["TERM"] + [d for d in D_]]
## print ["TERM"] + [d for d in D_]
# for t in W_:
# temp = [w]
# for di in D_:
# if not di in W[w]:
# temp.append(0)
# continue