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Python 爬取 热词并进行分类数据分析-[云图制作(+)]

时间:2020-01-28 23:12:08      阅读:181      评论:0      收藏:0      [点我收藏+]

标签:科技   json   频谱   薪酬   制造   虚拟机   神经网络   生成   tar   

日期:2020.01.28

博客期:136

星期二

 

  今天主要是在网上找学习网站,爬取方面就参照之前爬到的数据做了一个简单的云图信息展示(Java Web),但是老师要求最好是用APP或者微信小程序(你认真的吗?),我目前就知道使用 Android Studio 开发App 项目,使用官方的软件开发微信小程序。但已经有半年不动这方面的东西了。还有就是那个文档生成...这大数据的数据量要用来生成的doc文档大小我不敢想!!!究竟要怎样的完成需求呢?我还要花一段时间思考,可能还是要进一步咨询老师的需求... ...

  1、使用Navicat导入文件数据或者使用Java编写代码使其自动生成sql语句再添加

  技术图片

 

  建表语句:

技术图片
1 Create Table data
2 (
3  name varchar(255) ,
4  num int,
5  Primary Key (name)
6 )
CREATE

  数据插入语句:(超长行数提醒!!!)

技术图片
  1 Insert into data VALUES (技术,304);
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877 Insert into data VALUES (FinOps,1);
Insert

  2、接下来是找到ECharts的云图模板,利用Servlet配置数据成符合模板要求的样式。

   下面是云图的具体实现步骤:

  (1)、从官网下载Echarts的云图扩展包!

  技术图片

  选择Download ZIP!

  目标文件如下图:

  技术图片

 

   获得文件后可以找到example文件夹里的实例看看用法,会了以后删掉就可以了!

  (2)、打开Eclipse准备连接数据库的环境(包括我的连接数据库的Jar包)

  先将页面设置好:

  

  最终云图效果展示:

  

Python 爬取 热词并进行分类数据分析-[云图制作(+)]

标签:科技   json   频谱   薪酬   制造   虚拟机   神经网络   生成   tar   

原文地址:https://www.cnblogs.com/onepersonwholive/p/12239061.html

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