How to use ECharts and php interface to implement various types of statistical charts-PHP Tutorial-php.cn

How to use ECharts and php interface to implement various types of statistical charts

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Release： 2023-12-18 13:00:02

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How to use ECharts and php interface to implement various types of statistical charts

How to use ECharts and PHP interface to implement various types of statistical charts

ECharts is a powerful open source data visualization library that provides a wealth of statistical charts Types and flexible configuration options can help us easily present data analysis results. At the same time, PHP, as a popular server-side programming language, can be seamlessly integrated with ECharts to provide a data interface for the front-end.

This article will introduce how to use ECharts and PHP interfaces to implement various types of statistical charts, and give specific code examples.

Step 1: Set up the environment

First, you need to prepare the server environment to run the PHP script. You can choose to install integrated development environments such as XAMPP and WAMP, or you can build your own Apache and PHP environments.

Step 2: Introduce the ECharts library and data

Before implementing the statistical chart, you need to introduce the ECharts library. You can download the latest ECharts version through the official website (https://echarts.apache.org/zh/index.html), unzip it to the web directory on the server, and then introduce the ECharts library into the HTML file.

For example, add the following code to the head section of the HTML file:

<head>    
    <script src="echarts.min.js"></script>
</head>

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In addition, you also need to prepare the data that needs to be visualized. Data can be obtained from a database or simulated using static json files. In this article, we will use static json files.

Step 3: Write PHP interface

On the server side, we need to write a PHP interface to pass data to the front end and dynamically generate charts.

First, create a php file, such as data.php, and then write the following code in the file:

<?php
    // 从数据库或json文件中获取数据
    // 此处假设数据已经准备好，并保存在data.json文件中

    $data = file_get_contents('data.json');
    
    // 输出数据
    echo $data;
?>

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In the above code, we first use the file_get_contents function to get from the data.json file data and output the data to the front end.

Step 4: Call the PHP interface on the front end

Next, we need to call the PHP interface on the front end, obtain the data and use ECharts to generate statistical charts.

In the HTML file, you can use Ajax request to call the PHP interface and pass the obtained data to ECharts for rendering.

The following is a simple example:

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts示例</title>
    <script src="echarts.min.js"></script>
</head>
<body>
    <div id="chart" style="width: 600px; height: 400px;"></div>

    <script>
        // 使用Ajax请求调用PHP接口获取数据
        var xhr = new XMLHttpRequest();
        xhr.open('GET', 'data.php', true);
        xhr.send();
        
        xhr.onreadystatechange = function () {
            if (xhr.readyState === 4 && xhr.status === 200) {
                var data = JSON.parse(xhr.responseText);  // 解析返回的数据
                
                // 使用ECharts渲染图表
                var chart = echarts.init(document.getElementById('chart'));
                chart.setOption(data);
            }
        };
    </script>
</body>
</html>

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In the above code, we first create an Ajax request and call the data.php interface to obtain data. When the interface returns data, we use JSON.parse to parse the data, then use the init method of ECharts to initialize the chart, and finally use the setOption method to set the configuration and data of the chart.

Summary

Through the above steps, we can use ECharts and PHP interfaces to implement various types of statistical charts. First, set up the PHP running environment and introduce the ECharts library, then write a PHP interface to pass the data to the front end, and finally call the PHP interface on the front end and use ECharts to render the chart.

Of course, the specific chart type and configuration need to be adjusted according to actual needs. You can refer to the official ECharts documentation (https://echarts.apache.org/zh/index.html) for in-depth study and use. I hope this article is helpful to you, and I wish you can write beautiful statistical charts!

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