How to combine ECharts and php interface to realize dynamic data display of statistical charts-PHP Tutorial-php.cn

How to combine ECharts and php interface to realize dynamic data display of statistical charts

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Release： 2023-12-17 22:44:02

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How to combine ECharts and php interface to realize dynamic data display of statistical charts

How to combine ECharts and PHP interfaces to realize dynamic data display of statistical charts

Introduction:
With the development of Internet technology, data visualization has emerged in various fields played an important role. ECharts is a powerful data visualization library that can help us quickly create various types of charts. PHP is a popular server-side scripting language that can be used to handle data requests and build interfaces. Combining ECharts and PHP interfaces, we can realize dynamic data display of statistical charts, and easily update and interact with charts.

This article will introduce how to combine ECharts and PHP interfaces to realize dynamic data display of statistical charts, and provide specific code examples.

Step 1: Preparation

First, we need to install ECharts and PHP environment. ECharts can be downloaded from the official website (https://echarts.apache.org/zh/index.html), and the PHP environment can be obtained by installing an integrated development environment (such as XAMPP).

Step 2: Build the PHP interface

We need to create a PHP file to handle the request and return of chart data. The following is a simple example:

<?php
    // 链接数据库并查询数据
    $conn = mysqli_connect("localhost", "root", "", "database");
    $sql = "SELECT * FROM statistics";
    $result = mysqli_query($conn, $sql);

    // 将查询到的数据转化为JSON格式
    $data = array();
    while($row = mysqli_fetch_assoc($result)){
        $data[] = $row;
    }
    $json = json_encode($data);

    // 设置响应头，指定返回的数据类型为JSON
    header('Content-Type: application/json');
    // 返回JSON数据
    echo $json;
?>

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Please modify the database connection information and query statements according to your actual situation.

Step 3: Build HTML file

Create an HTML file and introduce ECharts and jQuery libraries. Here is a simple example:

<!DOCTYPE html>
<html>
<head>
    <title>统计图示例</title>
    <!-- 引入ECharts库 -->
    <script src="echarts.min.js"></script>
    <script src="jquery.min.js"></script>
</head>
<body>
    <!-- 定义一个容器，用于显示图表 -->
    <div id="chart-container" style="width: 600px; height: 400px;"></div>

    <script>
        // 使用ajax请求PHP接口获取数据
        $.ajax({
            url: "data.php",
            type: "GET",
            success: function(data) {
                // 将返回的JSON数据解析为JavaScript对象
                var jsonData = JSON.parse(data);

                // 创建一个ECharts实例
                var chart = echarts.init(document.getElementById('chart-container'));

                // 配置图表的参数和数据
                var option = {
                    title: {
                        text: '统计图示例'
                    },
                    xAxis: {
                        type: 'category',
                        data: jsonData.map(function(item){
                            return item.label;
                        })
                    },
                    yAxis: {
                        type: 'value'
                    },
                    series: [{
                        data: jsonData.map(function(item){
                            return item.value;
                        }),
                        type: 'bar'
                    }]
                };

                // 使用刚指定的配置项和数据显示图表
                chart.setOption(option);
            }
        });
    </script>
</body>
</html>

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Please note that the URL of the data.php file needs to be modified to the actual path.

Step 4: Run and test

Place the PHP file and HTML file in the root directory of the server, and then enter the URL to access the HTML file in the browser. If everything goes well, you will see a statistical chart displayed using ECharts, and the data in the chart will come from the PHP interface.

Summary:
By combining ECharts and PHP interfaces, we can realize dynamic data display of statistical charts. By writing database query statements in PHP files, converting query results into JSON format, and obtaining data in HTML files through ajax requests and displaying them using ECharts, you can easily update and interact with charts. I hope this article can be helpful to you, please leave a message for discussion and communication.

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