


How to combine ECharts and php interface to realize multi-chart linkage statistical chart display
In the field of data visualization, ECharts is a widely used front-end chart library, and its powerful data visualization functions are sought after by various industries. In actual projects, we often encounter situations where multiple charts need to be displayed in a linked manner. This article will introduce how to combine ECharts and PHP interfaces to realize the linked statistical chart display of multiple charts, and give specific code examples.
1. Pre-requisite skills
In the practice of this article, you need to master the following skills:
- Basic knowledge of HTML, CSS, and JavaScript;
- Basic knowledge of ECharts;
- Basic knowledge of PHP.
2. Requirements Analysis
Our requirement is to display multiple interrelated charts on one page, and these charts can be linked to each other.
The requirements analysis is as follows:
- There are two maps on the page, a main map and a secondary map.
- There is a bar chart and a line chart on the page.
- On the left side of the page, we can see a drop-down menu. This drop-down menu contains multiple options. Each option will trigger the corresponding data reload and update the corresponding chart.
- When we select any option in the drop-down menu, all charts will change. The main map and sub-map will follow the changes in the data, and the bar charts and line charts will also change. Update accordingly.
3. Implementation plan
- Page layout
First, lay out our page in an HTML file. Create a div container named wrap and place all charts in this div container. Among them, the height of the map container needs to be set to 100% to make full use of the page space.
<body> <div id="wrap"> <div id="map1" style="height: 100%; width: 60%; float:left; "></div> <div id="chart1" style="height: 400px; width: 40%; float:left;"></div> <div id="map2" style="height: 100%; width:60%; float:left;"></div> <div id="chart2" style="height: 400px; width: 40%; float:left;"></div> </div> </body>
- Calling ECharts
We need to introduce the ECharts library file into the page. This library file can be downloaded from the ECharts official website (https://echarts.apache.org/en/download.html).
Use the

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