numpy初用
发布时间：2020-12-14 04:25:02 所属栏目：大数据 来源：网络整理
导读：import?numpy?as?np for?k,v?in?stat.iteritems(): ????print?k ????v.sort() ????#v?=?v[len(v)*3/100:len(v)*97/100] ????data?=?np.array(v) ????hist,bins=np.histogram(data,bins=np.linspace(data.min(),data.max(),20)) ????#hist,bins=20) ????print
|
import?numpy?as?np
for?k,v?in?stat.iteritems():
????print?k
????v.sort()
????#v?=?v[len(v)*3/100:len(v)*97/100]
????data?=?np.array(v)
????hist,bins=np.histogram(data,bins=np.linspace(data.min(),data.max(),20))
????#hist,bins=20)
????print?data.min(),?data.max(),?np.average(data)
????print?hist
????print?bins
????print?v[0::len(v)/20]
?
with?open(‘candidate_words‘)?as?f:
????for?nline,?line?in?enumerate(f):
????????line?=?line.strip()
????????terms?=?line.split(‘?‘)
????????query_vocab[‘‘.join(terms)]?=?nline
?
????????vecs?=?[vec_space[term]?for?term?in?terms?if?term?in?vec_space]
????????weights?=?[term_imp_dict.get(term,?0.0)?for?term?in?terms?if?term?in?vec_space]
????????#if?len(vecs)?==?1:
????????#????terms_vec?=?vecs[0]
????????#else:
????????#????terms_vec?=?[sum(x)?for?x?in?izip(*vecs)]
????????#terms_vec?=?[elem/len(terms_vec)?for?elem?in?terms_vec]
????????if?not?vecs:
????????????continue
????????if?max(weights)?==?0:
????????????continue
????????vecs?=?np.array(vecs)
????????terms_vec?=?np.average(vecs,?axis=0,?weights=weights)
????????terms_vec_len?=?np.linalg.norm(terms_vec)
????????ters_vec?=?terms_vec?/?terms_vec_len
????????aindex.add_item(nline,?terms_vec.tolist())
（编辑：李大同） 【声明】本站内容均来自网络，其相关言论仅代表作者个人观点，不代表本站立场。若无意侵犯到您的权利，请及时与联系站长删除相关内容! |