在上一篇博客里面。我们已经把智联的招聘信息存入到数据库（mysql）里面。 

接下来我们就需要对里面需要的信息进入 筛选和显示。

直接上代码：

import jieba

import matplotlib.pyplot as plt  

import jieba


from wordcloud import WordCloud  

import pymysql

import urllib

import bs4

from urllib import request

from bs4 import BeautifulSoup as bs


#数据库定义

class selectMysql(object):

def select_data(self):

list1=[]

#创建数据库链接

conn =pymysql.connect(host="127.0.0.1",port=3306,user="root",passwd="zfno11",db="job",charset='utf8')

        #创建游标

sql = 'select jobname from job '

cursor = conn.cursor()

try:

cursor.execute(sql)

#提交，不然无法保存新建或者修改的数据

except MySQLdb.Error: 

print("数据库执行语句异常")

finally:

alldata = cursor.fetchall()

conn.commit()

#关闭游标

cursor.close()

conn.close()

for i in alldata:

list1.append(i)

return(list1)

#返回获取到的字符串结果

def get_result(self,list1):

self.list1=list1

with open("shuju",'w') as f:

for i in self.list1:

b= str(i).replace("(","").replace(")","").replace("-","").replace(",","").replace(" ","").replace("（"," ").replace("）"," ").replace("'","")

f.write(b +'\n')

f.close()


# 创建停用词list  

def stopwordslist(filepath):  

stopwords = [line.strip() for line in open(filepath, 'r', encoding='utf-8').readlines()]  

return stopwords  

#去掉空格

  

  

# 对句子进行分词  

def seg_sentence(sentence):  

sentence_seged = jieba.cut(sentence.strip())  

stopwords = stopwordslist('stopwords.txt')  # 这里加载停用词的路径  

outstr1 = ''

outstr = ''  

for word in sentence_seged:  

if word not in stopwords:  

if word != '\t':  

outstr += word  

outstr1 += " "

#去重

for i in outstr1:

if i not in outstr1:

outstr.append(i)

return outstr  

 


inputs = open('shuju', 'r', encoding='utf-8')  

outputs = open('output.txt', 'w')  

for line in inputs:  

line_seg = seg_sentence(line)  # 这里的返回值是字符串  

outputs.write(line_seg + '\n')  

outputs.close()  

inputs.close()  

###以上部分完成了从数据库读取jobname然后存入到文本shuju里面，最后对文本进入简单的处理


class ciyun(object):

def __init__(self):

pass

def ciyundis(self):

text = open("output.txt",'rb').read()

wordlist =  jieba.cut(text,cut_all=True)

w1= " ".join(wordlist)

# print(w1)

#词云

backgroud_Image=plt.imread('timg.jpg')

wc =  WordCloud(background_color = "black", #设置背景颜色  

mask = backgroud_Image,  #设置背景图片  

max_words = 50, #设置最大显示的字数  

#stopwords = "", #设置停用词  

font_path = "/usr/share/fonts/simfang.ttf",  

#设置中文字体，使得词云可以显示（词云默认字体是“DroidSansMono.ttf字体库”，不支持中文）  

max_font_size = 150,  #设置字体最大值  

random_state = 30, #设置有多少种随机生成状态，即有多少种配色方案  

)  

myword = wc.generate(w1)   #生成词云 


plt.imshow(myword)

plt.axis("off")

plt.savefig('pink.png', dpi=700) #700是像素，像素越高，放大越清楚

plt.show()


#data= selectMysql()

#EEE=data.select_data()

#data.get_result(EEE)


ciyun1=ciyun()

ciyun1.ciyundis()


执行结果截图：