基于python爬虫的智慧人才数据分析系统

废话不多说,先看效果图

更多效果图可私信我获取

源码分享

import os
import sysdef main():"""Run administrative tasks."""os.environ.setdefault('DJANGO_SETTINGS_MODULE', '智慧人才数据分析系统.settings')try:from django.core.management import execute_from_command_lineexcept ImportError as exc:raise ImportError("Couldn't import Django. Are you sure it's installed and ""available on your PYTHONPATH environment variable? Did you ""forget to activate a virtual environment?") from excexecute_from_command_line(sys.argv)if __name__ == '__main__':main()
import jieba  # 分词
from matplotlib import pylab as plt     # 绘图,数据可视化
from wordcloud import WordCloud         # 词云
from PIL import Image                   # 图片处理
import numpy as np                      # 矩阵运算
from pymysql import *
import json
# wordCloud# 所有词
def get_img(field,targetImgSrc,resImgSrc):con = connect(host='localhost', user='root', password='root', database='boss', port=3306, charset='utf8mb4')cursor = con.cursor()sql = f"select {field} from jobinfo"cursor.execute(sql)data = cursor.fetchall()text = ''for i,item in enumerate(data):text += item[0]cursor.close()con.close()# 分词cut = jieba.cut(text)string = ' '.join(cut)print(string)# 图片img = Image.open(targetImgSrc)  # 打开遮罩图片img_arr = np.array(img)  # 将图片转化为列表wc = WordCloud(background_color='white',mask=img_arr,font_path='STHUPO.TTF')wc.generate_from_text(string)# 绘制图片fig = plt.figure(1)plt.imshow(wc)plt.axis('off')  # 不显示坐标轴# 显示生成的词语图片# plt.show()# 输入词语图片到文件plt.savefig(resImgSrc, dpi=500)def get_addressCompanyTags_img(targetImgSrc,resImgSrc,addrress):con = connect(host='localhost', user='root', password='root', database='boss', port=3306, charset='utf8mb4')cursor = con.cursor()sql = f"select companyTags from jobinfo where address = '{addrress}'"cursor.execute(sql)data = cursor.fetchall()text = ''for i, item in enumerate(data):if item[0] != '无':tags = json.loads(item[0])print(tags)for j in tags:text = text + jcursor.close()con.close()# 分词cut = jieba.cut(text)string = ' '.join(cut)print(string)# 图片img = Image.open(targetImgSrc)  # 打开遮罩图片img_arr = np.array(img)  # 将图片转化为列表wc = WordCloud(background_color='white',mask=img_arr,font_path='STHUPO.TTF')wc.generate_from_text(string)# 绘制图片fig = plt.figure(1)plt.imshow(wc)plt.axis('off')  # 不显示坐标轴# 显示生成的词语图片# plt.show()# 输入词语图片到文件plt.savefig(resImgSrc, dpi=500)# get_img('companyTitle',r'.\static\2.jpg',r'.\static\companyTitle.jpg')
# get_img('summary',r'.\static\2.jpg',r'.\static\summary_cloud.jpg')
# get_img('casts',r'.\static\3.jpg',r'.\static\casts_cloud.jpg')

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源码过多,暂不一一列举,需要的朋友可以私信我获取(此源码需收取少量费用)

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