• java实现各种数据统计图(柱形图,饼图,折线图)


    近期在做数据挖掘的课程设计,须要将数据分析的结果非常直观的展现给用户,这就要用到数据统计图,要实现这个功能就须要几个第三方包了:

    1.       jfreechart-1.0.13.jar

    2.       jcommon-1.0.16.jar

    3.       gnujaxp.jar

     

    先来看一下,终于效果图:

    主要是jfreechart-1.0.13.jar,但这三个包要齐全,我已经将全部与jfreechart有关的jar包与本文实例的project(代码)一同压缩上传了,有兴趣的同学能够下载,

    下载地址:http://download.csdn.net/detail/pzhtpf/4327700

     

    接下来,我们一步步来实现本程序。

     

    一,前期准备工作,也就把这三个第三方包加入进本文project,加入过程特别简单,前面写过一篇博客,讲的是java怎样读取Excel表格中的数据(有兴趣的同学能够看一看:http://blog.csdn.net/pzhtpf/article/details/7506135),也要加入第三方包,加入过程一模一样,这里我们在复习一遍:

    1 ,java项目,在这个项目在建立一个新的目录lib

    2 将上述三个jar包,拷贝到lib

    3然后右键点击这个java项目,选择Properties

    4在左側列表里选中Java Build Path,右側选中Libraries

    5点击Add JARs

    6 然后去选择这个项目中lib目录中的三个jar,点击确定

    成功后,项目中会多一个目录为:Referenced Libraries

     

    二, 实现柱形图的java代码:

      import java.awt.Font;
    
    import org.jfree.chart.ChartFactory;
    import org.jfree.chart.ChartPanel;
    import org.jfree.chart.JFreeChart;
    import org.jfree.chart.axis.CategoryAxis;
    import org.jfree.chart.axis.ValueAxis;
    import org.jfree.chart.plot.CategoryPlot;
    import org.jfree.chart.plot.PlotOrientation;
    import org.jfree.data.category.CategoryDataset;
    import org.jfree.data.category.DefaultCategoryDataset;
    
    public class BarChart {
    	ChartPanel frame1;
    	public  BarChart(){
    		CategoryDataset dataset = getDataSet();
            JFreeChart chart = ChartFactory.createBarChart3D(
           		                 "水果", // 图表标题
                                "水果种类", // 文件夹轴的显示标签
                                "数量", // 数值轴的显示标签
                                dataset, // 数据集
                                PlotOrientation.VERTICAL, // 图表方向:水平、垂直
                                true,           // 是否显示图例(对于简单的柱状图必须是false)
                                false,          // 是否生成工具
                                false           // 是否生成URL链接
                                );
            
            //从这里開始
            CategoryPlot plot=chart.getCategoryPlot();//获取图表区域对象
            CategoryAxis domainAxis=plot.getDomainAxis();         //水平底部列表
             domainAxis.setLabelFont(new Font("黑体",Font.BOLD,14));         //水平底部标题
             domainAxis.setTickLabelFont(new Font("宋体",Font.BOLD,12));  //垂直标题
             ValueAxis rangeAxis=plot.getRangeAxis();//获取柱状
             rangeAxis.setLabelFont(new Font("黑体",Font.BOLD,15));
              chart.getLegend().setItemFont(new Font("黑体", Font.BOLD, 15));
              chart.getTitle().setFont(new Font("宋体",Font.BOLD,20));//设置标题字体
              
              //到这里结束,尽管代码有点多,但仅仅为一个目的,解决汉字乱码问题
              
             frame1=new ChartPanel(chart,true);        //这里也能够用chartFrame,能够直接生成一个独立的Frame
             
    	}
    	   private static CategoryDataset getDataSet() {
               DefaultCategoryDataset dataset = new DefaultCategoryDataset();
               dataset.addValue(100, "北京", "苹果");
               dataset.addValue(100, "上海", "苹果");
               dataset.addValue(100, "广州", "苹果");
               dataset.addValue(200, "北京", "梨子");
               dataset.addValue(200, "上海", "梨子");
               dataset.addValue(200, "广州", "梨子");
               dataset.addValue(300, "北京", "葡萄");
               dataset.addValue(300, "上海", "葡萄");
               dataset.addValue(300, "广州", "葡萄");
               dataset.addValue(400, "北京", "香蕉");
               dataset.addValue(400, "上海", "香蕉");
               dataset.addValue(400, "广州", "香蕉");
               dataset.addValue(500, "北京", "荔枝");
               dataset.addValue(500, "上海", "荔枝");
               dataset.addValue(500, "广州", "荔枝");
               return dataset;
    }
    public ChartPanel getChartPanel(){
    	return frame1;
    	
    }
    }
    


     

    效果图例如以下:

    但我们把private static CategoryDataset getDataSet(){}方法中的数据变化一下后,又会形成还有一种效果,比方说我们改成:

    private static CategoryDataset getDataSet() {
               DefaultCategoryDataset dataset = new DefaultCategoryDataset();
               dataset.addValue(100, "苹果", "苹果");
               dataset.addValue(200, "梨子", "梨子");
               dataset.addValue(300, "葡萄", "葡萄");
               dataset.addValue(400, "香蕉", "香蕉");
               dataset.addValue(500, "荔枝", "荔枝");
               return dataset;
    }
    
    


     

    效果图例如以下:

    三,    实现饼状图的java代码:

     package com.njue.testJFreeChart;
    
    import java.awt.Font;
    import java.text.DecimalFormat;
    import java.text.NumberFormat;
    
    import javax.swing.JPanel;
    
    import org.jfree.chart.ChartFactory;
    import org.jfree.chart.ChartPanel;
    import org.jfree.chart.JFreeChart;
    import org.jfree.chart.labels.StandardPieSectionLabelGenerator;
    import org.jfree.chart.plot.PiePlot;
    import org.jfree.data.general.DefaultPieDataset;
    
    public class PieChart {
    	ChartPanel frame1;
    	public PieChart(){
    		  DefaultPieDataset data = getDataSet();
    	      JFreeChart chart = ChartFactory.createPieChart3D("水果产量",data,true,false,false);
    	    //设置百分比
    	      PiePlot pieplot = (PiePlot) chart.getPlot();
    	      DecimalFormat df = new DecimalFormat("0.00%");//获得一个DecimalFormat对象,主要是设置小数问题
    	      NumberFormat nf = NumberFormat.getNumberInstance();//获得一个NumberFormat对象
    	      StandardPieSectionLabelGenerator sp1 = new StandardPieSectionLabelGenerator("{0}  {2}", nf, df);//获得StandardPieSectionLabelGenerator对象
    	      pieplot.setLabelGenerator(sp1);//设置饼图显示百分比
    	  
    	  //没有数据的时候显示的内容
    	      pieplot.setNoDataMessage("无数据显示");
    	      pieplot.setCircular(false);
    	      pieplot.setLabelGap(0.02D);
    	  
    	      pieplot.setIgnoreNullValues(true);//设置不显示空值
    	      pieplot.setIgnoreZeroValues(true);//设置不显示负值
    	     frame1=new ChartPanel (chart,true);
    	      chart.getTitle().setFont(new Font("宋体",Font.BOLD,20));//设置标题字体
    	      PiePlot piePlot= (PiePlot) chart.getPlot();//获取图表区域对象
    	      piePlot.setLabelFont(new Font("宋体",Font.BOLD,10));//解决乱码
    	      chart.getLegend().setItemFont(new Font("黑体",Font.BOLD,10));
    	}
        private static DefaultPieDataset getDataSet() {
            DefaultPieDataset dataset = new DefaultPieDataset();
            dataset.setValue("苹果",100);
            dataset.setValue("梨子",200);
            dataset.setValue("葡萄",300);
            dataset.setValue("香蕉",400);
            dataset.setValue("荔枝",500);
            return dataset;
    }
        public ChartPanel getChartPanel(){
        	return frame1;
        	
        }
    }
    


     

    效果图例如以下:

    四,      实现折线图的java代码:

     

    package com.njue.testJFreeChart;
    
    import java.awt.Font;
    import java.text.SimpleDateFormat;
    
    import org.jfree.chart.ChartFactory;
    import org.jfree.chart.ChartPanel;
    import org.jfree.chart.JFreeChart;
    import org.jfree.chart.axis.DateAxis;
    import org.jfree.chart.axis.ValueAxis;
    import org.jfree.chart.plot.XYPlot;
    import org.jfree.data.time.Month;
    import org.jfree.data.time.TimeSeries;
    import org.jfree.data.time.TimeSeriesCollection;
    import org.jfree.data.xy.XYDataset;
    
    public class TimeSeriesChart {
    	ChartPanel frame1;
    	public TimeSeriesChart(){
    		XYDataset xydataset = createDataset();
    		JFreeChart jfreechart = ChartFactory.createTimeSeriesChart("Legal & General单位信托基金价格", "日期", "价格",xydataset, true, true, true);
    		XYPlot xyplot = (XYPlot) jfreechart.getPlot();
    		DateAxis dateaxis = (DateAxis) xyplot.getDomainAxis();
            dateaxis.setDateFormatOverride(new SimpleDateFormat("MMM-yyyy"));
            frame1=new ChartPanel(jfreechart,true);
            dateaxis.setLabelFont(new Font("黑体",Font.BOLD,14));         //水平底部标题
            dateaxis.setTickLabelFont(new Font("宋体",Font.BOLD,12));  //垂直标题
            ValueAxis rangeAxis=xyplot.getRangeAxis();//获取柱状
            rangeAxis.setLabelFont(new Font("黑体",Font.BOLD,15));
            jfreechart.getLegend().setItemFont(new Font("黑体", Font.BOLD, 15));
            jfreechart.getTitle().setFont(new Font("宋体",Font.BOLD,20));//设置标题字体
    
    	} 
    	 private static XYDataset createDataset() {  //这个数据集有点多,但都不难理解
    	        TimeSeries timeseries = new TimeSeries("legal & general欧洲指数信任",
    	                org.jfree.data.time.Month.class);
    	        timeseries.add(new Month(2, 2001), 181.80000000000001D);
    	        timeseries.add(new Month(3, 2001), 167.30000000000001D);
    	        timeseries.add(new Month(4, 2001), 153.80000000000001D);
    	        timeseries.add(new Month(5, 2001), 167.59999999999999D);
    	        timeseries.add(new Month(6, 2001), 158.80000000000001D);
    	        timeseries.add(new Month(7, 2001), 148.30000000000001D);
    	        timeseries.add(new Month(8, 2001), 153.90000000000001D);
    	        timeseries.add(new Month(9, 2001), 142.69999999999999D);
    	        timeseries.add(new Month(10, 2001), 123.2D);
    	        timeseries.add(new Month(11, 2001), 131.80000000000001D);
    	        timeseries.add(new Month(12, 2001), 139.59999999999999D);
    	        timeseries.add(new Month(1, 2002), 142.90000000000001D);
    	        timeseries.add(new Month(2, 2002), 138.69999999999999D);
    	        timeseries.add(new Month(3, 2002), 137.30000000000001D);
    	        timeseries.add(new Month(4, 2002), 143.90000000000001D);
    	        timeseries.add(new Month(5, 2002), 139.80000000000001D);
    	        timeseries.add(new Month(6, 2002), 137D);
    	        timeseries.add(new Month(7, 2002), 132.80000000000001D);
    	        TimeSeries timeseries1 = new TimeSeries("legal & general英国指数信任",
    	                org.jfree.data.time.Month.class);
    	        timeseries1.add(new Month(2, 2001), 129.59999999999999D);
    	        timeseries1.add(new Month(3, 2001), 123.2D);
    	        timeseries1.add(new Month(4, 2001), 117.2D);
    	        timeseries1.add(new Month(5, 2001), 124.09999999999999D);
    	        timeseries1.add(new Month(6, 2001), 122.59999999999999D);
    	        timeseries1.add(new Month(7, 2001), 119.2D);
    	        timeseries1.add(new Month(8, 2001), 116.5D);
    	        timeseries1.add(new Month(9, 2001), 112.7D);
    	        timeseries1.add(new Month(10, 2001), 101.5D);
    	        timeseries1.add(new Month(11, 2001), 106.09999999999999D);
    	        timeseries1.add(new Month(12, 2001), 110.3D);
    	        timeseries1.add(new Month(1, 2002), 111.7D);
    	        timeseries1.add(new Month(2, 2002), 111D);
    	        timeseries1.add(new Month(3, 2002), 109.59999999999999D);
    	        timeseries1.add(new Month(4, 2002), 113.2D);
    	        timeseries1.add(new Month(5, 2002), 111.59999999999999D);
    	        timeseries1.add(new Month(6, 2002), 108.8D);
    	        timeseries1.add(new Month(7, 2002), 101.59999999999999D);
    	        TimeSeriesCollection timeseriescollection = new TimeSeriesCollection();
    	        timeseriescollection.addSeries(timeseries);
    	        timeseriescollection.addSeries(timeseries1);
    	        return timeseriescollection;
    	    }
    	  public ChartPanel getChartPanel(){
    	    	return frame1;
    	    	
    	    }
    }
    


     

    效果图例如以下:

    再来看一下主方法

    import java.awt.GridLayout;
    
    import javax.swing.JFrame;
    
    public class mainClass {
    public static void main(String args[]){
    	JFrame frame=new JFrame("Java数据统计图");
    	frame.setLayout(new GridLayout(2,2,10,10));
    	frame.add(new BarChart().getChartPanel());           //加入柱形图
    	frame.add(new BarChart1().getChartPanel());          //加入柱形图的还有一种效果
    	frame.add(new PieChart().getChartPanel());           //加入饼状图
    	frame.add(new TimeSeriesChart().getChartPanel());    //加入折线图
    	frame.setBounds(50, 50, 800, 600);
    	frame.setVisible(true);
    }
    }
    


     

    五,             总结

     

    以上都是一个简单的样例去实现了,想了解更深的同学可自行查询资料,事实上以上代码都通俗易懂,仅仅要结合自己的实际情况,便可开发出属于自己的Application,大家能够看出我这里是在Application上实现的,事实上很多其它情况数据统计图在javaweb上应用很多其它,大家也可自行了解。

    ps:如执行本文project项目是出现错误,请參考博文:http://blog.csdn.net/pzhtpf/article/details/7506135

     

  • 相关阅读:
    你的内存不够啦:c++: internal compiler error: Killed (program cc1plus)
    ARM交叉编译器GNUEABI、NONE-EABI、ARM-EABI、GNUEABIHF等的区别
    arm-linux-gnueabihf、aarch64-linux-gnu等ARM交叉编译GCC的区别
    ubuntu与centos的对比和选择
    Deep Convolutional Network Cascade for Facial Point Detection实践总结
    深度学习(十七)基于改进Coarse-to-fine CNN网络的人脸特征点定位
    《Deep Convolutional Network Cascade for Facial Point Detection》复现
    使用axis2,根据WSDL生成java客户端代码
    oracle字段NCHAR查询,
    【转】fastdfs第一次上传文档报错recv package size
  • 原文地址:https://www.cnblogs.com/mengfanrong/p/4230968.html
Copyright © 2020-2023  润新知