使用kennycason.kumo.WordCloud For JAVA 制作词云图

官网：https://kennycason.com/posts/2014-07-03-kumo-wordcloud.html

一：添加POM文件

		<!-- 词云 --><dependency><groupId>com.kennycason</groupId><artifactId>kumo-core</artifactId><version>1.27</version></dependency><dependency><groupId>com.kennycason</groupId><artifactId>kumo-tokenizers</artifactId><version>1.27</version></dependency>

二：词云图方法生成

import cn.hutool.core.lang.UUID;
import com.kennycason.kumo.CollisionMode;
import com.kennycason.kumo.WordCloud;
import com.kennycason.kumo.WordFrequency;
import com.kennycason.kumo.bg.CircleBackground;
import com.kennycason.kumo.font.KumoFont;
import com.kennycason.kumo.image.AngleGenerator;
import com.kennycason.kumo.nlp.FrequencyAnalyzer;
import com.kennycason.kumo.nlp.tokenizers.ChineseWordTokenizer;
import com.kennycason.kumo.palette.LinearGradientColorPalette;
import com.kennycason.kumo.placement.RectangleWordPlacer;
import com.*.*.bigdata.dto.GxyItemData;
import com.*.*.bigdata.entity.SchoolGeneralDataEntity;
import com.*.*.bigdata.utils.AutoReport.CreateSchoolReportV4;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.system.ApplicationHome;
import org.springframework.core.io.Resource;
import org.springframework.core.io.ResourceLoader;
import java.awt.*;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.lang.reflect.Field;
import java.net.URL;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.*;
import java.util.List;/*** ClasseName: WordCloud** @Author: 李指导* @Create: 2024/01/09 - 12:44* @Version: v1.0* Description: 通过com.kennycason生成词云图**/
public class WordCloudUtils {private static final Logger logger= LoggerFactory.getLogger(WordCloudUtils.class);public static final String PATH = "src/main/resources/image/";public static void main(String[] args) throws IOException, IllegalAccessException {//GxyItemData 为我自己的对象 这里可以根据实际情况切换List<GxyItemData> list = new ArrayList<>();GxyItemData data = new GxyItemData();data.setName("张三");data.setName2("一年级");data.setValue2("25");data.setValue1("100");data.setValue4(new double[] {100});GxyItemData data2 = new GxyItemData();data2.setName("李四");data2.setName2("二年级");data2.setValue2("74");data2.setValue1("200");data2.setValue4(new double[] {100});GxyItemData data3 = new GxyItemData();data3.setName("王五");data3.setName2("三年级");data3.setValue2("60");data3.setValue1("300");data3.setValue4(new double[] {100});list.add(data);list.add(data2);list.add(data3);GxyItemData dataa = new GxyItemData();dataa.setName("马六");dataa.setName2("一年级");dataa.setValue2("45");dataa.setValue1("220");dataa.setValue4(new double[] {100});GxyItemData dataa2 = new GxyItemData();dataa2.setName("九七");dataa2.setName2("二年级");dataa2.setValue2("14");dataa2.setValue1("1200");dataa2.setValue4(new double[] {100});GxyItemData dataa3 = new GxyItemData();dataa3.setName("勾八");dataa3.setName2("三年级");dataa3.setValue2("40");dataa3.setValue1("2100");data.setValue4(new double[] {100});list.add(dataa);list.add(dataa2);list.add(dataa3);WordCloudUtils wordCloudUtils =new WordCloudUtils();wordCloudUtils.createWordCountPic(list);}/*** 制作词云图方法* **/public  String createWordCountPic(List<GxyItemData> list) throws IOException {//是一个用于分析文本中词频的工具类FrequencyAnalyzer frequencyAnalyzer = new FrequencyAnalyzer();//设置要返回的词频数量，这里设置为 600frequencyAnalyzer.setWordFrequenciesToReturn(600);//设置词的最小长度，这里设置为 2，表示忽略长度小于 2 的词。frequencyAnalyzer.setMinWordLength(2);//设置词的分词器，这里使用了中文的分词器 ChineseWordTokenizer，用于将中文文本拆分成单个词语。frequencyAnalyzer.setWordTokenizer(new ChineseWordTokenizer());// 可以直接从文件中读取List<WordFrequency> wordFrequencies = new ArrayList<>();// 用词语来随机生成词云Collections.sort(list, Comparator.comparing(GxyItemData::getValue2).reversed());//这里换成自己对象当中的参数,name和valuelist.forEach(c->{wordFrequencies.add(new WordFrequency(c.getName(),Integer.parseInt(c.getValue2())));});//设置图片分辨率Dimension dimension = new Dimension(300, 300);//此处的设置采用内置常量即可，生成词云对象WordCloud wordCloud = new com.kennycason.kumo.WordCloud(dimension, CollisionMode.PIXEL_PERFECT);//词频的背景为白色wordCloud.setBackgroundColor(Color.WHITE);//调节词云的稀疏程度，越高越稀疏wordCloud.setPadding(0);//字号的大小范围，最小是多少，最大是多少//wordCloud.setFontScalar(new LinearFontScalar(10, 200));//设置词云显示的三种颜色，越靠前设置表示词频越高的词语的颜色//wordCloud.setColorPalette(new ColorPalette(15));wordCloud.setColorPalette(new LinearGradientColorPalette(new Color(90,174,243), new Color(251,110,108), new Color(254,182,77), 30, 30));// 设置字体 //此处不设置会出现中文乱码 字体设置为仿宋wordCloud.setKumoFont(new KumoFont(new Font("楷体", Font.BOLD, 25)));// 设置偏转角，角度为0时，字体都是水平的wordCloud.setAngleGenerator(new AngleGenerator(2,2,2));wordCloud.setBackground(new CircleBackground(100));wordCloud.build(wordFrequencies);//生成词云图路径UUID uuid = UUID.randomUUID();String hexString = uuid.toString().replace("-", "").substring(0,32);//获取编译路径,这里运行后会写到改目录下，可以自定义一个目录，String targetPath = "./output/";//String targetPath = this.getClass().getResource("/").getPath()String path = targetPath+hexString+".png";// windows目录符号 \\  , 提交到linux 要改成 //File filePath = new File(targetPath+File.separator);if(!filePath.exists()){filePath.mkdirs();}wordCloud.writeToFile(path);return path;}}

测试运行结果：

生产运行结果：