ECharts word cloud chart: how to display data keywords
ECharts word cloud chart: How to display data keywords, specific code examples are needed
Introduction:
With the advent of the big data era, we are faced with An important issue is how to effectively extract useful information from massive data. Keyword extraction is one of the commonly used methods. When displaying keywords, word cloud diagrams are a very intuitive and artistic way that allow people to quickly understand the characteristics of the data and the importance of keywords at a glance. This article will introduce how to use ECharts to display word cloud diagrams and provide specific code examples.
Text:
1. Understand the basic principles of ECharts word cloud chart
ECharts is an open source visualization library based on JavaScript, which provides a wealth of chart types. Among them, the word cloud diagram shows the importance of keywords through the size and color of the font. Larger and darker keywords indicate higher importance. The basic principle of ECharts word cloud chart is to calculate the number of occurrences of keywords in the data, and display high-frequency keywords in larger fonts, and low-frequency keywords in smaller fonts. Next, we will introduce how to use ECharts to display word cloud diagrams.
2. Prepare data
Before implementing the word cloud chart, we first need to prepare the data. Suppose we want to display keywords in an article, we can use a data set containing keywords and their occurrence times. The following is a simple example:
var data = [
{ name: 'ECharts', value: 100 },
{ name: '数据可视化', value: 80 },
{ name: '词云图', value: 60 },
{ name: '关键词提取', value: 50 },
{ name: 'JavaScript', value: 40 },
{ name: '图表库', value: 30 },
// 其他关键词...
];3. Create a word cloud chart
After preparing the data, we can start creating the word cloud chart. First, we need to introduce the ECharts library and create a container to display the word cloud chart. The following is a code example for creating a word cloud chart:
// 引入ECharts库
import echarts from 'echarts';
// 创建容器
var container = document.getElementById('wordcloud');
// 初始化词云图
var chart = echarts.init(container);
// 设置词云图的配置项
var option = {
series: [{
type: 'wordCloud',
data: data,
textStyle: {
normal: {
fontFamily: 'Arial',
fontWeight: 'bold',
}
}
}]
};
// 将配置项设置到词云图中
chart.setOption(option); In the above code, we first introduced the ECharts library and created a container to display the word cloud chart. Then, we initialized the word cloud graph through the echarts.init method and set the configuration items of the word cloud graph. Among them, the type attribute specifies the chart type as a word cloud chart, the data attribute specifies the data source, and the textStyle attribute can be used to set the font style. Finally, we set the configuration item to the word cloud chart through the chart.setOption method.
4. Display the word cloud chart
Finally, we need to display the created word cloud chart on the page. The following is a simple example:
<!DOCTYPE html>
<html>
<head>
<title>ECharts词云图示例</title>
<!-- 引入ECharts库 -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/echarts/5.1.2/echarts.min.js"></script>
</head>
<body>
<!-- 创建一个容器来显示词云图 -->
<div id="wordcloud" style="width: 600px; height: 400px;"></div>
<!-- 调用创建词云图的代码 -->
<script>
// 创建数据
var data = [
// 数据内容...
];
// 创建词云图
var container = document.getElementById('wordcloud');
var chart = echarts.init(container);
var option = {
// 配置项...
};
chart.setOption(option);
</script>
</body>
</html> In the above code, we create an HTML page and introduce the ECharts library. Then, we created a container to display the word cloud using the div tag. Finally, we put the code for creating the word cloud chart in the script tag, and set the configuration items of the word cloud chart to the chart instance.
Summary:
This article introduces how to use ECharts to display word cloud diagrams of data keywords, and provides specific code examples. Through the display of word cloud diagrams, we can intuitively understand the importance of keywords and more easily extract useful information from massive data. I hope this article can be helpful to you, thank you for reading!
The above is the detailed content of ECharts word cloud chart: how to display data keywords. For more information, please follow other related articles on the PHP Chinese website!
From Websites to Apps: The Diverse Applications of JavaScriptApr 22, 2025 am 12:02 AMJavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.
Python vs. JavaScript: Use Cases and Applications ComparedApr 21, 2025 am 12:01 AMPython is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.
The Role of C/C in JavaScript Interpreters and CompilersApr 20, 2025 am 12:01 AMC and C play a vital role in the JavaScript engine, mainly used to implement interpreters and JIT compilers. 1) C is used to parse JavaScript source code and generate an abstract syntax tree. 2) C is responsible for generating and executing bytecode. 3) C implements the JIT compiler, optimizes and compiles hot-spot code at runtime, and significantly improves the execution efficiency of JavaScript.
JavaScript in Action: Real-World Examples and ProjectsApr 19, 2025 am 12:13 AMJavaScript's application in the real world includes front-end and back-end development. 1) Display front-end applications by building a TODO list application, involving DOM operations and event processing. 2) Build RESTfulAPI through Node.js and Express to demonstrate back-end applications.
JavaScript and the Web: Core Functionality and Use CasesApr 18, 2025 am 12:19 AMThe main uses of JavaScript in web development include client interaction, form verification and asynchronous communication. 1) Dynamic content update and user interaction through DOM operations; 2) Client verification is carried out before the user submits data to improve the user experience; 3) Refreshless communication with the server is achieved through AJAX technology.
Understanding the JavaScript Engine: Implementation DetailsApr 17, 2025 am 12:05 AMUnderstanding how JavaScript engine works internally is important to developers because it helps write more efficient code and understand performance bottlenecks and optimization strategies. 1) The engine's workflow includes three stages: parsing, compiling and execution; 2) During the execution process, the engine will perform dynamic optimization, such as inline cache and hidden classes; 3) Best practices include avoiding global variables, optimizing loops, using const and lets, and avoiding excessive use of closures.
Python vs. JavaScript: The Learning Curve and Ease of UseApr 16, 2025 am 12:12 AMPython is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.
Python vs. JavaScript: Community, Libraries, and ResourcesApr 15, 2025 am 12:16 AMPython and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
Dreamweaver Mac version
Visual web development tools
ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.
DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
