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In today's context where data visualization is becoming more and more important, many developers hope to use various tools to quickly generate various charts and reports so that they can better Display data to help decision-makers make quick judgments. In this context, using the Php interface and ECharts library can help many developers quickly generate visual statistical charts.
This article will introduce in detail how to use the Php interface and ECharts library to generate visual statistical charts. In the specific implementation, we will use the MySQL database as the data source, use PHP scripts to obtain data from the database, and use the ECharts library to generate charts. This article aims to help developers understand how to quickly use the data in their hands to generate various charts to better meet business needs.
Implementation steps:
Before you start, you need to make sure that you have correctly installed PHP and MySQL. At the same time, you need to install ECharts Library. You can download and install the ECharts library from the website http://echarts.baidu.com/index.html. You can also import ECharts through a CDN, as shown below:
<script src="https://cdn.bootcdn.net/ajax/libs/echarts/5.2.1/echarts.min.js"></script>
Next, we need to get the data from the MySQL database. Suppose we now have a database test_db
, which has a table user
, which contains the user's name and age. Our goal is to read data from this table and use the data to generate a chart.
<?php $dbname = 'test_db'; $host = 'localhost'; $user = 'root'; $password = ''; $conn = mysqli_connect($host, $user, $password, $dbname); if (!$conn) { die("Connection failed: " . mysqli_connect_error()); } $sql = "SELECT * FROM user"; $result = mysqli_query($conn, $sql); $data = array(); if (mysqli_num_rows($result) > 0) { while ($row = mysqli_fetch_assoc($result)) { $data[] = array('name' => $row['name'], 'age' => (int)$row['age']); } } mysqli_close($conn); ?>
The above code first establishes a connection with the database, and then queries all records in table user
. Finally, the data is converted into array format through the mysqli_fetch_assoc
function.
After we have the data, we can start generating charts. ECharts provides a variety of chart types. In this article, we will take the histogram as an example to demonstrate how to use the Php interface and the ECharts library to generate a histogram.
柱状图 <script src="https://cdn.bootcdn.net/ajax/libs/echarts/5.2.1/echarts.min.js"></script>
The above code uses PHP's loop statement to traverse the obtained data, count the number of people in each age group, and update the statistical results to the configuration items of ECharts. When the page loads, ECharts automatically generates a histogram and generates the corresponding histogram based on the data in the database.
Conclusion
So far, we have successfully demonstrated how to use the PHP interface and ECharts library to generate visual statistical charts. In actual development, you can use different chart types according to business needs and customize the style of the chart. In addition, you can also store data and ECharts configuration items in different files to better manage and maintain the code.
In short, I hope this article can help you learn the PHP interface and ECharts library, and quickly generate various visual charts.
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