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How to achieve beautiful 3D statistical chart effects through PHP and Vue.js

王林
Release: 2023-08-19 12:32:02
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How to achieve beautiful 3D statistical chart effects through PHP and Vue.js

How to achieve beautiful 3D statistical chart effects through PHP and Vue.js

Introduction:
In the context of today’s data era, statistical charts play an important role in data visualization plays a vital role. For developers, it is very important to find a chart library that can not only meet the needs, but also be beautiful and beautiful. This article will introduce how to use PHP and Vue.js to achieve beautiful 3D statistical chart effects.

  1. Introduction to PHP and Vue.js
    PHP is a widely used server-side scripting language for web development. Vue.js is a popular front-end framework for building interactive user interfaces. Using the combination of PHP and Vue.js, we can implement a front-end and back-end separation architecture to improve development efficiency and maintainability.
  2. Choose the right 3D chart library
    In PHP and Vue.js, there are a variety of 3D chart libraries to choose from. Among them, a widely used and powerful charting library is ECharts. ECharts is an open source visual chart library developed by Baidu, which provides a variety of chart types and supports 3D effects.
  3. Configuring the PHP environment
    First, we need to configure the PHP environment locally. You can choose to use an integrated development environment such as XAMPP or WAMP, or you can install PHP and Apache servers separately.
  4. Introducing ECharts and Vue.js
    In the project, we need to introduce the library files of ECharts and Vue.js. You can download the latest version of ECharts on the ECharts official website and place it in the corresponding directory of the project. At the same time, the Vue.js library file can be introduced through CDN, or it can be downloaded and placed in the project.
  5. Write PHP code to obtain data
    Get data from the background through PHP code, usually query data from the database or obtain it through the API interface. The following is a simple PHP code snippet for getting data:
<?php
// 连接数据库或调用API接口
// 查询数据并保存到数组中
$data = [
    ['name' => '项目1', 'value' => 100],
    ['name' => '项目2', 'value' => 200],
    ['name' => '项目3', 'value' => 300],
    // ...
];
// 将数据转为JSON格式输出
echo json_encode($data);
?>
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  1. Writing Vue.js code
    In Vue.js, we can use the axios library to send HTTP requests Get the data and use ECharts to render the chart. The following is a simple Vue.js code snippet for getting data and drawing a 3D histogram:
<template>
  <div id="chart"></div>
</template>

<script>
import axios from 'axios';
import echarts from 'echarts';

export default {
  mounted() {
    axios.get('/getChartData.php')
      .then(response => {
        const chartData = response.data;
        const chart = echarts.init(document.getElementById('chart'));
        let option = {
          tooltip: {},
          xAxis: {
            type: 'category',
            data: chartData.map(item => item.name),
          },
          yAxis: {},
          series: [{
            type: 'bar3D',
            data: chartData.map(item => [item.name, item.value]),
          }]
        };
        chart.setOption(option);
      })
      .catch(error => {
        console.error(error);
      });
  }
}
</script>

<style>
#chart {
  width: 100%;
  height: 400px;
}
</style>
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  1. Run the project
    Before running the project, make sure PHP and Apache are started server. Then, switch to the project directory on the command line and run the following command to install the dependencies:
npm install axios
npm install echarts
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Then, run the following command to start the project:

npm run serve
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Visit http://localhost: 8080 to see beautiful 3D statistical chart effects.

Conclusion:
Through PHP and Vue.js, we can easily achieve beautiful 3D statistical chart effects. Choose an appropriate chart library, configure the PHP environment, write PHP code to obtain data, and then perform data interaction and chart rendering through Vue.js and ECharts. This combination can greatly improve development efficiency and user experience and meet the needs of different projects. I hope this article is helpful to you, thank you for reading!

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