为什么python不报错不出结果_求大佬帮忙看一下python程序没问题但是运行不出结果也不报错...

求大佬帮忙看一下python程序没问题但是运行不出结果也不报错

import numpy as np

import gensim

import pandas as pd

import jieba

import xlrd

from xlutils.copy import copy

model = gensim.models.word2vec.Word2Vec.load(‘improve’)

#此函数计算某词对于模型中各个词的转移概率p(wk|wi)

def predict_proba(oword, iword):

#获取输入词的词向量

iword_vec = model[iword]

#获取保存权重的词的词库

oword = model.wv.vocab[oword]

oword_l = model.trainables.syn1[oword.point].T

dot = np.dot(iword_vec, oword_l)

lprob = -sum(np.logaddexp(0, -dot) + oword.code*dot)

return lprob

#各个词对于某词wi转移概率的乘积即为p(content|wi)，

#如果p(content|wi)越大就说明在出现wi这个词的条件下，此内容概率越大，

#那么把所有词的p(content|wi)按照大小降序排列，越靠前的词就越重要，越应该看成是本文的关键词。

from collections import Counter

def keywords(s):

#抽出s中和与训练的model重叠的词

s = [w for w in s if w in model]

ws = {w:sum([predict_proba(u, w) for u in s]) for w in s}

return Counter(ws).most_common()

list=[]

data = pd.read_csv(‘附件2.csv’, encoding=‘utf-8’)

data1 = data[‘留言详情’]

counter = 0

for index, line in enumerate(data1):

counter += 1

for i in range(0, counter):

x = pd.Series(keywords(jieba.cut(data1[i])))

list.append(x[0:1])

fen1 = pd.read_csv(‘fujian1.csv’,encoding=‘gbk’)

fen1_1 = fen1[‘一级分类’].drop_duplicates()#去重

counter1 = 0

for index, line in enumerate(fen1_1):

counter1 += 1

for i in range(0,counter):

list_1=[]

for j in range(0,counter1):

sim1 = model.similarity(list[i][0],fen1_1[j])

list_1.append(sim1)

x=max(list_1)

for m in range(0,counter1):

list_2=[]

if x == list_1[m]:

y = m

list_2.append(fen1_1[y])

sh =xlrd.open_workbook(r’附件二 （测试结果）.xls’,formatting_info=True)

xl = copy(sh)

shtc = sh.get_sheet(0)

for n in range(0,counter):

shtc.write(n,0,list[n][0])

shtc.write(n,1,list_2[n])

xl.save(r’一级分类.xls’)

原文链接:https://blog.csdn.net/yihensha/article/details/106027940