The Douban movie visualization system based on Python+Flask+MySQL uses Echart to build charts, supports custom color themes, and obtains data by connecting to the database.
The operation display is as follows, including data display, movie selection, movie data acquisition, and storage in the database.
New pages are still very easy to add, each page is a separate html, you only need to add a new page name in the navigation bar to realize the addition of a new page.
The modification of the database can be carried out through Navicat, the database operation software. The source code provides the prepared sql file of the movie database. You only need to import Navicat to realize visual analysis. It is very convenient and easy to use. You can provide Navicat usage guidance for free.
Technology Exchange
Technology must learn to share and communicate, and it is not recommended to work behind closed doors. A person can go fast, a group of people can go farther.
The source code, information, data, and technical exchange improvements in the article can be obtained by adding the knowledge planet exchange group. The group has more than 2,000 members. When adding, remember to add the following remarks: source + interest direction, which is convenient for finding like-minded friends.
Method ①, add WeChat account: pythoner666, remarks: from CSDN + Douban movie visualization
method ②, WeChat search official account: Python learning and data mining, background reply: information
After logging in, you can enter the data analysis page
Page - Home
search database
Regional Distribution of Movies
Movie Score Analysis
Analysis of film actors
Analysis of Movie Genres in Database
Paging display of movie data
Select the movie "Dune" in the database to analyze and comment to generate a word cloud and display it on the front-end interface
Word cloud overview
Title word cloud
Film introduction word cloud
actor word cloud