How to deal with slow loading of echarts pages?

If the Echarts page is loading too slowly, you can try the following methods to address it:

1. Compressing resource files: compressing Echarts resource files to reduce file size and speed up loading.
2. Asynchronous loading: by placing Echarts initialization and data loading in asynchronous operations using promises, async/await, or similar methods, the webpage loading will not be blocked.
3. Lazy loading: If there are multiple echarts charts on the page, only the chart in the current visible area can be loaded, while the other charts will be loaded when scrolled into view.
4. Data optimization: If the data volume is too large, the data can be processed with methods such as pagination loading, data sampling, etc., to reduce the data volume and improve loading speed.
5. CDN acceleration: Utilize the official CDN service provided by echarts to host resource files on a CDN, speeding up loading times.
6. Optimize the code: check for any redundant or repeated operations in the code, improve algorithms and code logic to increase execution efficiency.
7. Using caching: for static data, you can store the data locally or on the server to reduce request time.
8. Pre-loading: Load echarts resources in advance before the page fully loads to increase loading speed.
9. Delay loading: Use lazy loading or deferred loading to postpone the rendering of echarts until the user needs it, reducing initialization time.
10. Frontend optimization: Improve frontend performance by implementing techniques such as lazy loading images, merging files, compressing resources, etc., in order to reduce page load time.

These are some common methods for optimizing the loading speed of Echarts pages, which can be chosen based on the actual situation.