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How to use PHP interface and ECharts to implement data visualization charts
Introduction
In web applications, data visualization charts are very useful for displaying and analyzing large amounts of data. important. This article will introduce how to use the PHP interface and ECharts library to implement data visualization statistical charts, and provide readers with specific code examples.
<?php // 连接数据库 $mysqli = new mysqli("localhost", "username", "password", "database"); // 检查连接是否成功 if ($mysqli->connect_error) { die("数据库连接失败:" . $mysqli->connect_error); } // 查询数据 $query = "SELECT * FROM data_table"; $result = $mysqli->query($query); // 将结果转换为JSON格式 $data = []; while ($row = $result->fetch_assoc()) { $data[] = $row; } // 返回结果 header('Content-Type: application/json'); echo json_encode($data); // 关闭数据库连接 $mysqli->close(); ?>
The above code first connects to the database through the mysqli class and queries the data table named "data_table". The query results are then converted into an array, and finally the array is returned to the front-end page in JSON format.
<!DOCTYPE html> <html> <head> <title>数据可视化统计图</title> <meta charset="utf-8"> <script src="https://cdn.bootcdn.net/ajax/libs/jquery/3.5.1/jquery.min.js"></script> <script src="https://cdn.bootcdn.net/ajax/libs/echarts/4.6.0/echarts.min.js"></script> </head> <body> <div id="chart" style="width: 800px; height: 400px;"></div> <script type="text/javascript"> // 使用Ajax请求PHP接口获取数据 $.ajax({ url: "api.php", type: "GET", dataType: "json", success: function(data) { // 初始化ECharts实例 var chart = echarts.init(document.getElementById("chart")); // 处理数据并设置图表选项 var option = { xAxis: { type: 'category', data: data.map(item => item.name) // 假设返回的数据中有"name"字段 }, yAxis: { type: 'value' }, series: [{ data: data.map(item => item.value), // 假设返回的数据中有"value"字段 type: 'bar' }] }; // 使用配置项显示图表 chart.setOption(option); } }); </script> </body> </html>
The above code first introduces the ECharts library and jQuery library, and then obtains data through Ajax requests. Next, create an ECharts instance and configure chart options after successfully retrieving data. Finally, use configuration items to display the chart.
After completing the above steps, by accessing the front-end page, a data visualization page with statistical charts will be displayed.
Summary
This article introduces how to use the PHP interface and ECharts library to implement data visualization charts. By creating a PHP interface, read data from the database and return it to the front-end page in JSON format, and then use the ECharts library to create charts and display the data. I hope this article can provide help and guidance to readers in applying data visualization statistical charts in web development.
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