D3.js介绍

  D3.js是一个流行的JavaScript数据可视化库,全称为Data-Driven Documents,即数据驱动文档。它以数据为核心,通过数据来驱动文档的展示和操作。D3.js提供了丰富的API和工具,使得开发者能够创建出各种交互式和动态的数据可视化效果。

官方介绍网站:What is D3? | D3 by Observable

D3.js导入方式介绍

  在JavaScript中导入D3.js通常使用ESM+CDN、UMD+CDN和UMD+local这三种方式,其中:ESM (ES Modules):ESM是ECMAScript模块(ECMAScript Modules)的缩写,也被称为ES6模块,是JavaScript官方的模块化方案。它使用importexport语句进行模块的导入和导出,支持静态导入和动态导入。

CDN (Content Delivery Network):CDN即内容分发网络,是一种通过分布在多个地理位置的服务器来快速、有效地向用户分发内容的网络服务。使用CDN可以加快资源的加载速度,提高用户体验。

UMD (Universal Module Definition):UMD是一种通用的模块定义方式,旨在使JavaScript库或模块能够在多种环境中使用,包括浏览器全局变量方式、AMD环境和CommonJS环境(如Node.js)。UMD允许库或模块在各种不同的JavaScript模块加载器和环境中运行。

local:将JavaScript库或模块直接保存在本地项目中,而不是从外部CDN或其他远程位置加载。

D3.js导入方式1:ESM+CDN
<!DOCTYPE html>
<div id="container"></div>
<script type="module">

import * as d3 from "https://cdn.jsdelivr.net/npm/d3@7/+esm";

// 一大堆代码

</script>
D3.js导入方式2:UMD+CDN 
<!DOCTYPE html>
<div id="container"></div>
<script src="https://cdn.jsdelivr.net/npm/d3@7"></script>
<script type="module">

// 一大堆代码
</script>
 D3.js导入方式3:UMD+local
<!DOCTYPE html>
<div id="container"></div>
<script src="/d3.v7.js"></script>
<script type="module">

// 一大堆代码
</script>

D3.js文件官方下载地址:Getting started | D3 by Observable

使用D3.js进行数据可视化-LMLPHP

使用D3.js绘制柱形图
<!DOCTYPE html>  
<html>  
<head>  
    <meta charset="utf-8">  
    <title>GGBoy</title>  
    <script src="/d3.v7.js"></script>  
</head>  
<body>  
    <script>  
        const width = 640;  
        const height = 400;  
        const marginTop = 20;  
        const marginRight = 20;  
        const marginBottom = 30;  
        const marginLeft = 40;  
        const innerWidth = width - marginLeft - marginRight;  
        const innerHeight = height - marginTop - marginBottom;  
        const svg = d3.select("body").append("svg")  
            .attr("width", width)  
            .attr("height", height);  
        const plotArea = svg.append("g")  
            .attr("transform", `translate(${marginLeft},${marginTop})`);  
        const x = d3.scaleBand()  
            .domain(["Category1", "Category2", "Category3"]) 
            .padding(0.1);
        const y = d3.scaleLinear()  
            .domain([0, 100]) 
            .range([innerHeight, 0]);  
  
        // Add the x-axis.  
        plotArea.append("g")  
            .attr("transform", `translate(0,${innerHeight})`)  
            .call(d3.axisBottom(x));  
  
        // Add the y-axis.  
        plotArea.append("g")  
            .call(d3.axisLeft(y));  
        const data = [  
            { category: "Category1", value: 50 },  
            { category: "Category2", value: 75 },  
            { category: "Category3", value: 30 }  
        ];  
  
        plotArea.selectAll(".bar")  
            .data(data)  
            .enter().append("rect")  
            .attr("class", "bar")  
            .attr("x", d => x(d.category))  
            .attr("width", x.bandwidth())  
            .attr("y", d => y(d.value))  
            .attr("height", d => innerHeight - y(d.value))  
            .attr("fill", "steelblue");  
    </script>  
</body>  
</html>

使用D3.js进行数据可视化-LMLPHP

 使用D3.js绘制曲线图
<!DOCTYPE html>  
<html>  
<head>  
    <title>GGBoy</title>  
</head>  
<body>  
    <div id="container" style="width: 600px; height: 400px;"></div>  
    <script type="module">  
        import * as d3 from "https://cdn.jsdelivr.net/npm/d3@7/+esm";  
  
        var data = [  
            {date: '2024-05-01', close: 100},  
            {date: '2024-05-02', close: 110},  
            {date: '2024-05-03', close: 95},  
            {date: '2024-05-04', close: 120},  
            {date: '2024-05-05', close: 105}  
        ];  
        var parseDate = d3.timeParse("%Y-%m-%d");  
        data.forEach(function(d) {  
            d.date = parseDate(d.date);  
        });  
  
        const width = 600;  
        const height = 400;  
        const marginTop = 20;  
        const marginRight = 20;  
        const marginBottom = 30;  
        const marginLeft = 40;  
  
        var x = d3.scaleTime()  
            .range([marginLeft, width - marginRight])  
            .domain(d3.extent(data, function(d) { return d.date; }));  
        var y = d3.scaleLinear()  
            .range([height - marginBottom, marginTop])  
            .domain(d3.extent(data, function(d) { return d.close; }));  
        var svg = d3.select("#container").append("svg")  
            .attr("width", width)  
            .attr("height", height);  
  
        svg.append("g")  
            .attr("transform", `translate(0,${height - marginBottom})`)  
            .call(d3.axisBottom(x));  
        svg.append("g")  
            .attr("transform", `translate(${marginLeft},0)`)  
            .call(d3.axisLeft(y));  
  
        var line = d3.line()  
            .x(function(d) { return x(d.date); })  
            .y(function(d) { return y(d.close); })  
            .curve(d3.curveBasis);  
   
        svg.append("path")  
            .datum(data)  
            .attr("class", "line")  
            .attr("d", line)  
            .attr("stroke", "blue")  
            .attr("stroke-width", 2)  
            .attr("fill", "none");   
    </script>  
</body>  
</html>

使用D3.js进行数据可视化-LMLPHP

 使用D3.js实现网页时钟
<!DOCTYPE html>  
<html lang="zh">  
<head>  
    <meta charset="UTF-8">  
    <meta name="viewport" content="width=device-width, initial-scale=1.0">  
    <title>GGBoy</title>  
    <script src="https://cdn.jsdelivr.net/npm/d3@7"></script>  
    <style>  
        .time {  
            font-family: Cursive;  
            font-size: 40px;  
            stroke: black;  
            stroke-width: 2;  
            fill: none; 
        }  
    </style>  
</head>  
<body>  
    <svg width="600" height="400"></svg> 
    <script>  
        function getTime() {  
            var time = new Date();  
            var hour = time.getHours();  
            var minute = time.getMinutes();  
            var second = time.getSeconds();  
            hour = hour < 10 ? '0' + hour : hour;
            minute = minute < 10 ? '0' + minute : minute;  
            second = second < 10 ? '0' + second : second;  
            return hour + ':' + minute + ':' + second;  
        }  
        var svg = d3.select("svg"); // 选择SVG元素  
        var timeText = svg.append("text")    
            .attr("x", 100)    
            .attr("y", 100)    
            .attr("class", "time")  
            .text(getTime());  
        function updateTime() {  
            timeText.text(getTime());  
        }  
        setInterval(updateTime, 1000);  
    </script>  
</body>  
</html>

使用D3.js进行数据可视化-LMLPHP

05-04 12:52