echarts-wordcloud词云库是基于wordcloud2.js的Apache ECharts版本实现。

词云库的引入

echarts-wordcloud词云库需要配合ECharts一起使用,引入方式为:

①直接通过script标签引入,

<script src="echarts.min.js"></script>
<script src="echarts-wordcloud.min.js"></script>

②使用npm命令引入,

npm install echarts
npm install echarts-wordcloud

使用方式如下,

import * as echarts from 'echarts';
import 'echarts-wordcloud';

词云库的版本匹配问题

echarts-wordcloud的github官网做了如下版本匹配规则介绍:

echarts-wordcloud@2 is for echarts@5echarts-wordcloud@1 is for echarts@4

使用示例

完整示例代码如下,

<!DOCTYPE html>
<html lang="en"><head><meta charset="UTF-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>82-ECharts词云图.html</title><!-- 引入依赖库 --><script src="./node_modules/echarts/dist/echarts.js"></script><script src="./node_modules/echarts-wordcloud/dist/echarts-wordcloud.js"></script><style>#main {width: 400px;height: 400px;border: 1px solid #ccc;}</style>
</head><body><imgsrc="data:image/png;base64,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"alt=""><div id="main"></div>
</body>
<script>const data = {value: [{"name": "开源项目","value": 1437},{"name": "openSource","value": 1146},{"name": "openSource","value": 928},{"name": "openSource","value": 906},{"name": "openSource","value": 825},{"name": "openSource","value": 514},{"name": "openSource","value": 486},{"name": "openSource","value": 53},{"name": "openSource","value": 163},{"name": "openSource","value": 86},{"name": "openSource","value": 17},{"name": "openSource","value": 6},{"name": "openSource","value": 1},],//小鸟图片image: "data:image/png;base64,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"}const maskImage = new Image();maskImage.src = data.image;maskImage.onload = () => {const canvas = document.createElement("canvas");const context = canvas.getContext("2d");console.log(maskImage.width, maskImage.height)canvas.width = maskImage.width;canvas.height = maskImage.height;context.drawImage(maskImage, 0, 0);const chart = echarts.init(document.getElementById('main'));chart.setOption({series: [{type: 'wordCloud',// The shape of the "cloud" to draw. Can be any polar equation represented as a// callback function, or a keyword present. Available presents are circle (default),// cardioid (apple or heart shape curve, the most known polar equation), diamond (// alias of square), triangle-forward, triangle, (alias of triangle-upright, pentagon, and star.shape: 'circle', //形状参数// Keep aspect ratio of maskImage or 1:1 for shapes// This option is supported since echarts-wordcloud@2.1.0keepAspect: false,//// A silhouette image which the white area will be excluded from drawing texts.// The shape option will continue to apply as the shape of the cloud to grow.maskImage: canvas,//掩膜图像// Folllowing left/top/width/height/right/bottom are used for positioning the word cloud// Default to be put in the center and has 75% x 80% size.left: 'center',top: 'center',width: '100%',height: '100%',right: null,bottom: null,// Text size range which the value in data will be mapped to.// Default to have minimum 12px and maximum 60px size.sizeRange: [12, 60], //文字之间的距离// Text rotation range and step in degree. Text will be rotated randomly in range [-90, 90] by rotationStep 45rotationRange: [-90, 90],//文字旋转角度的范围rotationStep: 45,//文字旋转角度的步长值// size of the grid in pixels for marking the availability of the canvas// the larger the grid size, the bigger the gap between words.gridSize: 8,// set to true to allow word to be drawn partly outside of the canvas.// Allow word bigger than the size of the canvas to be drawn// This option is supported since echarts-wordcloud@2.1.0drawOutOfBound: false,// if the font size is too large for the text to be displayed,// whether to shrink the text. If it is set to false, the text will// not be rendered. If it is set to true, the text will be shrinked.// This option is supported since echarts-wordcloud@2.1.0shrinkToFit: false,// If perform layout animation.// NOTE disable it will lead to UI blocking when there is lots of words.layoutAnimation: true,// Global text styletextStyle: {fontFamily: 'sans-serif',fontWeight: 'bold',// Color can be a callback function or a color stringcolor: function () {//颜色// Random color-随机颜色(r,g,b)const randomColor = 'rgb(' + [Math.round(Math.random() * 255),Math.round(Math.random() * 255),Math.round(Math.random() * 255)].join(',') + ')';return randomColor;}},emphasis: {focus: 'self',textStyle: {textShadowBlur: 10,textShadowColor: '#333'}},// Data is an array. Each array item must have name and value property.data:data.value}]});}</script></html>

ECharts:echarts-wordcloud词云图相关推荐

  1. DayDayUp:寒门女孩考入北大→换角度看待表达《感谢贫穷》—关于吃苦与穷~~~Python之wordcloud词云图可视化

    DayDayUp:寒门女孩考入北大→换角度看待表达<感谢贫穷>-关于吃苦与穷~~~Python之wordcloud词云图可视化 目录 博主看法-关于吃苦与穷 文本内容 寒门女孩考入北大-& ...

  2. Python基于WordCloud词云图的数据可视化分析 词云图的基本使用 政府工作报告分析

    Python基于WordCloud词云图的数据可视化分析 词云图的基本使用 政府工作报告分析 文章目录 1.词云图简介 2.wordcloud库的安装 3.WordCloud的主要参数说明 4.绘制词 ...

  3. python数据可视化—WordCloud词云图

    WordCloud词云图 简介 准备工作 代码 运行效果 生成背景图片 设置停止词 按照背景图片颜色生成字体颜色 简介 "词云"是通过形成"关键词云层"或&qu ...

  4. 【日常点滴014】python关于wordcloud词云图多种绘制方法教程

    wordcloud词云图绘制 1  总体代码和常用参数介绍 2  简单词云 3  指定形状词云 3.1  黑白底片蒙版图 3.2  彩色蒙版图 4  指定形状结巴分词词云 4.1  结巴库的常规使用 ...

  5. 文本分析合集,文本向量处理的方法jieba,对文本的特征工程之TfidfVectorizer以及结合TruncatedSVD,WordCloud词云图展示

    文本分析合集,文本向量处理的方法jieba,对文本的特征工程之TfidfVectorizer以及结合TruncatedSVD,WordCloud词云图展示 对于一列文本我们需要对其进行操作的话首先要进 ...

  6. Python数据可视化 Pyecharts 制作 WordCloud 词云图

    大家好,我是Mr数据杨.想象一下,Python中的"WordCloud"就像三国演义中的烽火台,就像曹操视察北方边境,一眼就能看到哪里的火焰最为热烈,代表哪里的军情最为紧急.这是& ...

  7. [pyecharts学习笔记]——WordCloud词云图

    基本-词云图 注意数据格式 ,[(word1, count1), (word2, count2)] ,可使用 counter 做词频统计,生成这种数据格式 import pyecharts.optio ...

  8. COVID-19 肺炎疫情数据实时监控(python 爬虫 + pyecharts 数据可视化 + wordcloud 词云图)

    文章目录 [1x00]前言 [2x00]思维导图 [3x00]数据结构分析 [4x00]主函数 main() [5x00]数据获取模块 data_get [5x01]初始化函数 init() [5x0 ...

  9. WordCloud词云图去除停用词的正确方法

    前言 之前我们已经学习了如何使用wordcloud制作英文和中文词云,今天我们接着讲解,在实际制作词云中,有很多词是没有展示出的意义的,例如我,他等主语,那如何不显示这些词了,这就涉及到停用词. wo ...

最新文章

  1. 【C语言】 strstr查找子字符串函数以及模拟实现讲解
  2. golang append时slice len 和 cap
  3. 全能系统监控工具dstat
  4. Linux之systemd服务配置及自动重启
  5. Java队列与栈转换中String.Valueof()使用
  6. jvm的client与server工作模式
  7. 【渝粤题库】国家开放大学2021春3938管理英语2题目
  8. SPRING IN ACTION 第4版笔记-第二章-002-@ComponentScan、@Autowired的用法
  9. redis高级命令2
  10. sql server 群集_SQL Server群集索引概述
  11. 单片机的c语言程序控制直流电机,(单片机控制直流电机)毕业论文.doc
  12. c预言plc编程语言,【讨论】对于PLC的编程语言STL、LAD、SCL等,你用的哪种语言呢?...
  13. 杂文 - 设计MIUI主题 的 MIUI设计师
  14. echarts 柱状图 柱顶部显示数字
  15. 传奇客户端DATA文件详细说明
  16. HDUOJ 2059 龟兔赛跑——
  17. mysql数据库储存过程
  18. 前端实现图片快速反转替换_canvas实现图片镜像翻转的2种方式
  19. torch.bmm(a,b)
  20. Java操作ffmpeg--截取视频

热门文章

  1. 金油早指导3.25黄金原油独家策略,预测今日黄金白银td冲高回落
  2. Ubuntu 磁盘空间不足解决办法
  3. AI+安防,视频监控的6大技术趋势
  4. created不能异步_详解vue中async-await的使用误区
  5. MyCat (一) Mycat的安装
  6. bs84c12引脚_最新BS84B12A-3.pdf
  7. android 热更新之腾讯Bugly 及所遇问题的修改总结
  8. UE网络-官方联网和多人游戏
  9. 2012年9月世界编程语言排行榜!
  10. python教你如何跳过验证识别登录并自动发送弹幕