How to use ECharts and php interface to generate statistical charts with labels and legends

How to use ECharts and php interface to generate statistical charts with labels and legends

With the development of Internet technology, data visualization has become more and more important A task. As an intuitive and easy-to-understand display method, statistical charts are widely used in data analysis and decision support. As an excellent open source chart library, ECharts provides a wealth of data visualization chart types and powerful functions, and has become the first choice of many developers and data analysts.

This article will introduce how to use ECharts and php interface to generate statistical charts with labels and legends. We will demonstrate the implementation process through a specific code example.

First of all, we need to introduce ECharts related resource files into the project. You can get the latest version from the official website or GitHub. Unzip the resource files into your project directory and introduce the relevant js and css files into the HTML file.

Next, we need to prepare the data needed to generate the chart. In php, we can obtain data through database queries, API calls, etc., and convert it into JSON format. In this example, we assume that the following data has been obtained:

$data = [
    ['name' => '图例1', 'value' => 100],
    ['name' => '图例2', 'value' => 200],
    ['name' => '图例3', 'value' => 300],
    // ...
];

Then, we can dynamically generate an HTML element containing the ECharts chart container through php, as shown below:

<div id="chart" style="width: 600px; height: 400px;"></div>

Next , we need to write JavaScript code to initialize ECharts and draw the chart:

// 引入ECharts库
import echarts from 'echarts';

// 获取容器元素
var chartContainer = document.getElementById('chart');

// 初始化ECharts实例
var chart = echarts.init(chartContainer);

// 设置图表的配置项和数据
var option = {
    title: {
        text: '统计图表',
        subtext: '数据来源: PHP接口',
    },
    tooltip: {
        trigger: 'item',
        formatter: '{a} <br/>{b} : {c} ({d}%)',
    },
    legend: {
        orient: 'vertical',
        left: 'left',
        data: <?=json_encode(array_column($data, 'name'))?>,
    },
    series: [
        {
            name: '标签名称',
            type: 'pie',
            radius: '55%',
            center: ['50%', '60%'],
            data: <?=json_encode($data)?>,
            label: {
                normal: {
                    show: true,
                    formatter: '{b} : {c} ({d}%)',
                },
            },
            emphasis: {
                label: {
                    show: true,
                    fontSize: '20',
                    fontWeight: 'bold',
                },
            },
        },
    ],
};

// 使用刚指定的配置项和数据显示图表
chart.setOption(option);

In the above code, we first introduced the ECharts library and obtained the chart container element. Then, we used the init() method of ECharts to create an ECharts instance and set the chart configuration items and data. Among them, title represents the title and subtitle of the chart, tooltip represents the prompt information when the mouse is hovering, legend represents the legend, and series represents the chart. series of data, here we take a pie chart as an example.

Finally, we use the setOption() method to apply the configuration items and data to the chart to draw the chart.

Through the above steps, we successfully used ECharts and php interfaces to generate statistical charts with labels and legends. You can adjust configuration items and data according to actual needs, and design richer chart effects.

To sum up, the steps to use ECharts and php interface to generate statistical charts with labels and legends are as follows:

1. Introduce relevant resource files of ECharts;
2. Preparation Generate the data required for the chart and convert it into JSON format;
3. Create an element containing the ECharts chart container in the HTML file;
4. Write JavaScript code, initialize ECharts and set the chart Configuration items and data;
5. Use the setOption() method to apply the configuration items and data to the chart and draw the chart.

I hope the above content can help you. For more detailed functions and usage of ECharts and php interfaces, you can consult official documents or other related resources for in-depth study. I wish you go further and further on the road of data visualization!

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