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      Home Backend Development PHP Tutorial How to use ECharts and php interface to generate statistical charts

      How to use ECharts and php interface to generate statistical charts

      Dec 18, 2023 pm 01:47 PM
      php echarts summary graph

      How to use ECharts and php interface to generate statistical charts

      How to use ECharts and PHP interface to generate statistical charts

      Introduction:
      In modern web application development, data visualization is a very important link, it can Help us visually display and analyze data. ECharts is a powerful open source JavaScript chart library. It provides a variety of chart types and rich interactive functions, and can easily generate various statistical charts. This article will introduce how to use ECharts and PHP interfaces to generate statistical charts, and give specific code examples.

      1. Overview
      ECharts is a customizable chart library open sourced by Baidu. It supports a variety of chart types, including line charts, bar charts, pie charts, etc., and provides rich interactions and animation effects. PHP is a commonly used server-side language for processing data and interacting with databases. By combining ECharts and PHP, we can easily obtain data from the database and use it to generate statistical charts.

      2. Environment preparation
      Before we start, we need to install and configure the following software and libraries:

      1. PHP environment: To use PHP scripts, we need to install PHP and Configure the web server (such as Apache).
      2. ECharts library: Download the latest ECharts library from the ECharts official website and introduce it into the HTML page.

      3. Obtain data
      Before generating statistical charts, we first need to obtain data from the database. The following is a simple PHP script to connect to the database and obtain data:

      // Connect to the database
      $conn = mysqli_connect('localhost', 'username', 'password', 'database');
      if (!$conn) {

      die('數(shù)據(jù)庫連接失敗: ' . mysqli_connect_error());

      }

      // Query data
      $sql = "SELECT * FROM statistics";
      $result = mysqli_query($conn, $sql);

      // Processing results
      $data = array();
      while ($row = mysqli_fetch_assoc($result)) {

      $data[] = array(
          'name' => $row['name'],
          'value' => $row['value']
      );

      }

      //Output data
      echo json_encode($data);

      //Close database connection
      mysqli_close($conn);
      ?>

      4. Generate statistical charts
      Next, we generate statistical charts through ECharts and PHP interfaces. The following is a simple HTML page for drawing a bar chart:



      <meta charset="utf-8">
      <title>ECharts統(tǒng)計圖表</title>
      <script src="echarts.min.js"></script>


      <div id="chart" style="width: 800px; height: 400px;"></div>
      <script>
          // 使用ajax獲取數(shù)據(jù)
          var xhr = new XMLHttpRequest();
          xhr.open('GET', 'data.php', true);
          xhr.onreadystatechange = function() {
              if (xhr.readyState === 4 && xhr.status === 200) {
                  var data = JSON.parse(xhr.responseText);
                  renderChart(data);
              }
          };
          xhr.send();
      
          // 渲染圖表
          function renderChart(data) {
              var chart = echarts.init(document.getElementById('chart'));
      
              var option = {
                  title: {
                      text: '數(shù)據(jù)統(tǒng)計'
                  },
                  xAxis: {
                      type: 'category',
                      data: data.map(function(item) {
                          return item.name;
                      })
                  },
                  yAxis: {
                      type: 'value'
                  },
                  series: [{
                      type: 'bar',
                      data: data.map(function(item) {
                          return item.value;
                      })
                  }]
              };
      
              chart.setOption(option);
          }
      </script>

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