基于PyEcharts的全球玉米贸易数据可视化系统建设及应用展望

Prospect on Construction and Application of Global Maize Trade Data Visualization System Based on PyEcharts

建设B/S端可视化系统实现数据在线共享、可视化分析,可以为决策者提供科学化的数据支持。运用1988—2016年联合国贸易组织数据库全球玉米贸易数据,采用基于Python的Django Web三层框架,调用PyEcharts组件实现了B/S端的数据可视化系统。系统借助Python强大的数据处理和分析技术,将数据转化为PyEcharts组件接口参数,再实现由数据到可视化图表的转换。前端由HTML、 CSS、 JavaScript技术完成用户与系统的交互。随着5G技术逐渐成熟,未来可视化可能向三维立体空间、虚拟现实等更加符合人类视觉感受的方向发展。

This research aimed to build a B/S visualization system to share data online and analyses data,and support decision makers. Using the 1988-2016 global maize trade data from United Nations Trade Organization database, the Py Echarts component was called to realize the B/S data visualization and the Python-based Django framework was used to build the entire system. The system used powerful data processing and analysis technology with Python language to convert data into interface parameters of Py Echarts component,and then convert data into visual charts. The browser side was composed of HTML, CSS, and JavaScript technology to complete user interaction with the system. As the 5 G technology matures, the future visualization may develop in a direction that is more in line with human visual perceptions, such as three-dimensional space and virtual reality.