jfreechart使用总结

Posted on 2006-07-11 11:31 weibogao 阅读(1957) 评论(0)  编辑  收藏 所属分类: riasoftware development



这里分三部分来介绍 jFreeChart 。第一部分介绍jFreeChart产生
图形的流程及相关的重要的类;第二部分介绍四种常用的报表图(饼图、柱状图、折线图、时间序列图);第三部分
介绍在图形中增加Item Lable 。
jFreeChart 的版本是jfreechart-1.0.0-pre2(1)

[b]一、jFreeChart产生图形的流程[/b]
   创建一个数据源(dataset)来包含将要在图形中显示的数据,创建一个 JFreeChart 对象来代表要显示的图形
   把图形输出
   重要的类和接口:
   org.jfree.data.general.Dataset  所有数据源类都要实现的接口
   org.jfree.chart.ChartFactory    由它来产生 JFreeChart 对象
   org.jfree.chart.JFreeChart    所有对图形的调整都是通过它噢!!
   org.jfree.chart.plot.Plot    通过JFreeChart 对象获得它,然后再通过它对图形外部部分(例:坐标轴)调整
                                注意:它有很多子类,一般都下嗍造型到它的子类!
   org.jfree.chart.renderer.AbstractRenderer     通过JFreeChart 对象获得它,然后再通过它对图形内部部分
                                                (例:折线的类型)调整。同样,针对不同类型的报表图,它有
                                                着不同的子类实现!在下面我们简称它为 Renderer
   下面我们结合不同类型的图形来具体分析这个流程。
  
[b]二、饼图[/b]
   饼图的dataset 一般是用PieDataset 接口,具体实现类是 DefaultPieDataset
   1、创建一个数据源(dataset):
    private static PieDataset createDataset()
    {
        DefaultPieDataset defaultpiedataset = new DefaultPieDataset(); //注意是DefaultPieDataset!!
        defaultpiedataset.setValue("One", new Double(43.200000000000003D));
        defaultpiedataset.setValue("Two", new Double(10D));
        defaultpiedataset.setValue("Three", new Double(27.5D));
        defaultpiedataset.setValue("Four", new Double(17.5D));
        return defaultpiedataset;
    }
   2、由ChartFactory  产生 JFreeChart 对象
    private static JFreeChart createChart(PieDataset piedataset)
    {
        JFreeChart jfreechart = ChartFactory.createPieChart("Pie Chart Demo 1",  //图形标题名称
                                                              piedataset,   // dataset
                                                              true,      // legend?
                                                              true,     // tooltips?
                                                              false);  //URLs?
        PiePlot pieplot = (PiePlot)jfreechart.getPlot();  //通过JFreeChart 对象获得 plot:PiePlot!!
        pieplot.setNoDataMessage("No data available");    // 没有数据的时候显示的内容
        return jfreechart;
    }
    一些重要的方法:
    pieplot.setExplodePercent(0,0.3D) //把Lable 为"One" 的那一块”挖“出来30%   
   3、输出略 
  
[b]三、柱状图[/b]
   柱状图的dataset 一般是用CatagoryDataset接口(具体实现类是DefaultCategoryDataset),也会用 IntervalXYDataset
   接口
   1、创建一个数据源(dataset):
    private static CategoryDataset createDataset()
    {
        String series1 = "First";
        String series2 = "Second";
        String series3 = "Third";
        String category1 = "Category 1";
        String category2 = "Category 2";
        String category3 = "Category 3";
        String category4 = "Category 4";
        String category5 = "Category 5";
        DefaultCategoryDataset defaultcategorydataset = new DefaultCategoryDataset();
        defaultcategorydataset.addValue(1.0D, series1, category1);
        defaultcategorydataset.addValue(4D, series1, category2);
        defaultcategorydataset.addValue(3D, series1, category3);
        defaultcategorydataset.addValue(5D, series1, category4);
        defaultcategorydataset.addValue(5D, series1, category5);
       
        defaultcategorydataset.addValue(5D, series2, category1);
        defaultcategorydataset.addValue(7D, series2, category2);
        defaultcategorydataset.addValue(6D, series2, category3);
        defaultcategorydataset.addValue(8D, series2, category4);
        defaultcategorydataset.addValue(4D, series2, category5);
       
        defaultcategorydataset.addValue(4D, series3, category1);
        defaultcategorydataset.addValue(3D, series3, category2);
        defaultcategorydataset.addValue(2D, series3, category3);
        defaultcategorydataset.addValue(3D, series3, category4);
        defaultcategorydataset.addValue(6D, series3, category5);
        return defaultcategorydataset;
    }
   2、由ChartFactory  产生 JFreeChart 对象   
    private static JFreeChart createChart(CategoryDataset categorydataset)
    {
        JFreeChart jfreechart = ChartFactory.createBarChart("Bar Chart Demo", //图形标题名称
                                                            "Category",//domain 轴 Lable
                                                                         这里先简单理解为横坐标Lable好了
                                                            "Value", //range 轴 Lable
                                                                       这里也先简单理解为纵坐标Lable好了
                                                            categorydataset, //  dataset
                                                            PlotOrientation.VERTICAL, //垂直显示
                                                            true, // legend?
                                                            true,  // tooltips?
                                                            false); //URLs?
        jfreechart.setBackgroundPaint(Color.white);   //设定背景色为白色
        CategoryPlot categoryplot = jfreechart.getCategoryPlot(); //获得 plot:CategoryPlot!!
        categoryplot.setBackgroundPaint(Color.lightGray); //设定图表数据显示部分背景色
        categoryplot.setDomainGridlinePaint(Color.white); //横坐标网格线白色
        categoryplot.setDomainGridlinesVisible(true); //可见
        categoryplot.setRangeGridlinePaint(Color.white); //纵坐标网格线白色
        //下面两行使纵坐标的最小单位格为整数
        NumberAxis numberaxis = (NumberAxis)categoryplot.getRangeAxis();
        numberaxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits());
        BarRenderer barrenderer = (BarRenderer)categoryplot.getRenderer(); //获得renderer 注意这里是下嗍造型
                                                                             到BarRenderer!!
        barrenderer.setDrawBarOutline(false); // Bar的外轮廓线不画
        GradientPaint gradientpaint = new GradientPaint(0.0F, 0.0F, Color.blue,
        0.0F, 0.0F, new Color(0, 0, 64));   //设定特定颜色
        GradientPaint gradientpaint1 = new GradientPaint(0.0F, 0.0F, Color.green,
        0.0F, 0.0F, new Color(0, 64, 0));
        GradientPaint gradientpaint2 = new GradientPaint(0.0F, 0.0F, Color.red,
        0.0F, 0.0F, new Color(64, 0, 0));
        barrenderer.setSeriesPaint(0, gradientpaint); //给series1 Bar设定上面定义的颜色
        barrenderer.setSeriesPaint(1, gradientpaint1); //给series2 Bar 设定上面定义的颜色
        barrenderer.setSeriesPaint(2, gradientpaint2); //给series3 Bar 设定上面定义的颜色
        CategoryAxis categoryaxis = categoryplot.getDomainAxis();  //横轴上的 Lable 45度倾斜
        categoryaxis.setCategoryLabelPositions(CategoryLabelPositions.UP_45);       
        return jfreechart;
    } 
    一些重要的方法:(增加一块标记)
        IntervalMarker intervalmarker = new IntervalMarker(4.5D, 7.5D);
        intervalmarker.setLabel("Target Range");
        intervalmarker.setLabelFont(new Font("SansSerif", 2, 11));
        intervalmarker.setLabelAnchor(RectangleAnchor.LEFT);
        intervalmarker.setLabelTextAnchor(TextAnchor.CENTER_LEFT);
        intervalmarker.setPaint(new Color(222, 222, 255, 128));
        categoryplot.addRangeMarker(intervalmarker, Layer.BACKGROUND);   
       
[b]四、折线图[/b]
   折线图的dataset 两种CatagoryDataset接口(具体实现类是DefaultCategoryDataset),XYDataset 接口
   1、CatagoryDataset接口:        
   A、创建一个数据源(dataset):
    private static CategoryDataset createDataset()
    {
        String series1 = "First";
        String series2 = "Second";
        String series3 = "Third";
        String type1 = "Type 1";
        String type2 = "Type 2";
        String type3 = "Type 3";
        String type4 = "Type 4";
        String type5 = "Type 5";
        String type6 = "Type 6";
        String type7 = "Type 7";
        String type8 = "Type 8";
        DefaultCategoryDataset defaultcategorydataset = new DefaultCategoryDataset();
        defaultcategorydataset.addValue(1.0D, series1, type1);
        defaultcategorydataset.addValue(4D, series1, type2);
        defaultcategorydataset.addValue(3D, series1, type3);
        defaultcategorydataset.addValue(5D, series1, type4);
        defaultcategorydataset.addValue(5D, series1, type5);
        defaultcategorydataset.addValue(7D, series1, type6);
        defaultcategorydataset.addValue(7D, series1, type7);
        defaultcategorydataset.addValue(8D, series1, type8);
       
        defaultcategorydataset.addValue(5D, series2, type1);
        defaultcategorydataset.addValue(7D, series2, type2);
        defaultcategorydataset.addValue(6D, series2, type3);
        defaultcategorydataset.addValue(8D, series2, type4);
        defaultcategorydataset.addValue(4D, series2, type5);
        defaultcategorydataset.addValue(4D, series2, type6);
        defaultcategorydataset.addValue(2D, series2, type7);
        defaultcategorydataset.addValue(1.0D, series2, type8);
       
        defaultcategorydataset.addValue(4D, series3, type1);
        defaultcategorydataset.addValue(3D, series3, type2);
        defaultcategorydataset.addValue(2D, series3, type3);
        defaultcategorydataset.addValue(3D, series3, type4);
        defaultcategorydataset.addValue(6D, series3, type5);
        defaultcategorydataset.addValue(3D, series3, type6);
        defaultcategorydataset.addValue(4D, series3, type7);
        defaultcategorydataset.addValue(3D, series3, type8);
        return defaultcategorydataset;
    }
   B、由ChartFactory  产生 JFreeChart 对象     (与上面重复的部分就不再注释)
    private static JFreeChart createChart(CategoryDataset categorydataset)
    {
        JFreeChart jfreechart = ChartFactory.createLineChart("Line Chart Demo 1",
                                                             "Type",
                                                             "Value",
                                                             categorydataset,
                                                             PlotOrientation.VERTICAL,
                                                             true,
                                                             true,
                                                             false);
        jfreechart.setBackgroundPaint(Color.white);
        CategoryPlot categoryplot = (CategoryPlot)jfreechart.getPlot();
        categoryplot.setBackgroundPaint(Color.lightGray);
        categoryplot.setRangeGridlinePaint(Color.white);
        NumberAxis numberaxis = (NumberAxis)categoryplot.getRangeAxis();
        numberaxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits());
        numberaxis.setAutoRangeIncludesZero(true);
        //获得renderer 注意这里是下嗍造型到lineandshaperenderer!!
        LineAndShapeRenderer lineandshaperenderer = (LineAndShapeRenderer)categoryplot.getRenderer();
        lineandshaperenderer.setShapesVisible(true); //series 点(即数据点)可见
        lineandshaperenderer.setSeriesStroke(0, new BasicStroke(2.0F, 1, 1, 1.0F, new float[] {
            10F, 6F
        }, 0.0F)); //定义series为"First"的(即series1)点之间的连线 ,这里是虚线,默认是直线
        lineandshaperenderer.setSeriesStroke(1, new BasicStroke(2.0F, 1, 1, 1.0F, new float[] {
            6F, 6F
        }, 0.0F)); //定义series为"Second"的(即series2)点之间的连线
        lineandshaperenderer.setSeriesStroke(2, new BasicStroke(2.0F, 1, 1, 1.0F, new float[] {
            2.0F, 6F
        }, 0.0F)); //定义series为"Third"的(即series3)点之间的连线
        return jfreechart;
    }
        一些重要的方法:
        lineandshaperenderer.setLineVisible(true)  //series 点(即数据点)间有连线可见
   2、XYDataset 接口:
   A、创建一个数据源(dataset):
    private static XYDataset createDataset()
    {
        XYSeries xyseries = new XYSeries("First"); //先产生XYSeries 对象
        xyseries.add(1.0D, 1.0D);
        xyseries.add(2D, 4D);
        xyseries.add(3D, 3D);
        xyseries.add(4D, 5D);
        xyseries.add(5D, 5D);
        xyseries.add(6D, 7D);
        xyseries.add(7D, 7D);
        xyseries.add(8D, 8D);
       
        XYSeries xyseries1 = new XYSeries("Second");
        xyseries1.add(1.0D, 5D);
        xyseries1.add(2D, 7D);
        xyseries1.add(3D, 6D);
        xyseries1.add(4D, 8D);
        xyseries1.add(5D, 4D);
        xyseries1.add(6D, 4D);
        xyseries1.add(7D, 2D);
        xyseries1.add(8D, 1.0D);
       
        XYSeries xyseries2 = new XYSeries("Third");
        xyseries2.add(3D, 4D);
        xyseries2.add(4D, 3D);
        xyseries2.add(5D, 2D);
        xyseries2.add(6D, 3D);
        xyseries2.add(7D, 6D);
        xyseries2.add(8D, 3D);
        xyseries2.add(9D, 4D);
        xyseries2.add(10D, 3D);
       
        XYSeriesCollection xyseriescollection = new XYSeriesCollection(); //再用XYSeriesCollection添加入XYSeries 对象
        xyseriescollection.addSeries(xyseries);
        xyseriescollection.addSeries(xyseries1);
        xyseriescollection.addSeries(xyseries2);
        return xyseriescollection;
    }
   B、由ChartFactory  产生 JFreeChart 对象
    private static JFreeChart createChart(XYDataset xydataset)
    {
        JFreeChart jfreechart = ChartFactory.createXYLineChart("Line Chart Demo 2",
                                                               "X",
                                                               "Y",
                                                               xydataset,
                                                               PlotOrientation.VERTICAL,
                                                               true,
                                                               true,
                                                               false);
        jfreechart.setBackgroundPaint(Color.white);
        XYPlot xyplot = (XYPlot)jfreechart.getPlot(); //获得 plot:XYPlot!!
        xyplot.setBackgroundPaint(Color.lightGray); //设定图表数据显示部分背景色
        xyplot.setAxisOffset(new RectangleInsets(5D, 5D, 5D, 5D)); //设定坐标轴与图表数据显示部分距离
        xyplot.setDomainGridlinePaint(Color.white); //网格线颜色
        xyplot.setRangeGridlinePaint(Color.white);
        //获得 renderer 注意这里是XYLineAndShapeRenderer !!
        XYLineAndShapeRenderer xylineandshaperenderer = (XYLineAndShapeRenderer)xyplot.getRenderer();
        xylineandshaperenderer.setShapesVisible(true); //数据点可见
        xylineandshaperenderer.setShapesFilled(true); //数据点被填充即不是空心点
        NumberAxis numberaxis = (NumberAxis)xyplot.getRangeAxis();
        numberaxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits());
        return jfreechart;
    }                     
   一些重要的方法:
        XYLineAndShapeRenderer xylineandshaperenderer = new XYLineAndShapeRenderer();
        xylineandshaperenderer.setSeriesLinesVisible(0, false); //第一个XYSeries数据点间连线不可见
        xylineandshaperenderer.setSeriesShapesVisible(1, false); //第二个XYSeries数据点不可见
        xyplot.setRenderer(xylineandshaperenderer);  
       
[b]五、时间序列图[/b]
    时间序列图和折线图很相似,不同的是它在 domain轴的数据是时间而不是数字。 时间序列图的dataset 是
    XYDataset 接口,具体实现类是TimeSeriesCollection ,和上面类似,有TimeSeries 对象,它被添加入
    TimeSeriesCollection 。                                                                              
  1、创建一个数据源(dataset):
    private static XYDataset createDataset()
    {
        TimeSeries timeseries = new TimeSeries("L&G European Index Trust",Month.class);
        timeseries.add(new Month(2, 2001), 181.8D);//这里用的是Month.class,同样还有Day.class Year.class 等等
        timeseries.add(new Month(3, 2001), 167.3D);
        timeseries.add(new Month(4, 2001), 153.8D);
        timeseries.add(new Month(5, 2001), 167.6D);
        timeseries.add(new Month(6, 2001), 158.8D);
        timeseries.add(new Month(7, 2001), 148.3D);
        timeseries.add(new Month(8, 2001), 153.9D);
        timeseries.add(new Month(9, 2001), 142.7D);
        timeseries.add(new Month(10, 2001), 123.2D);
        timeseries.add(new Month(11, 2001), 131.8D);
        timeseries.add(new Month(12, 2001), 139.6D);
        timeseries.add(new Month(1, 2002), 142.9D);
        timeseries.add(new Month(2, 2002), 138.7D);
        timeseries.add(new Month(3, 2002), 137.3D);
        timeseries.add(new Month(4, 2002), 143.9D);
        timeseries.add(new Month(5, 2002), 139.8D);
        timeseries.add(new Month(6, 2002), 137D);
        timeseries.add(new Month(7, 2002), 132.8D);
       
        TimeSeries timeseries1 = new TimeSeries("L&G UK Index Trust",Month.class);
        timeseries1.add(new Month(2, 2001), 129.6D);
        timeseries1.add(new Month(3, 2001), 123.2D);
        timeseries1.add(new Month(4, 2001), 117.2D);
        timeseries1.add(new Month(5, 2001), 124.1D);
        timeseries1.add(new Month(6, 2001), 122.6D);
        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), 106.1D);
        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), 109.6D);
        timeseries1.add(new Month(4, 2002), 113.2D);
        timeseries1.add(new Month(5, 2002), 111.6D);
        timeseries1.add(new Month(6, 2002), 108.8D);
        timeseries1.add(new Month(7, 2002), 101.6D);
        TimeSeriesCollection timeseriescollection = new TimeSeriesCollection();
        timeseriescollection.addSeries(timeseries);
        timeseriescollection.addSeries(timeseries1);
        timeseriescollection.setDomainIsPointsInTime(true); //domain轴上的刻度点代表的是时间点而不是时间段
        return timeseriescollection;
    }
   2、由ChartFactory  产生 JFreeChart 对象
    private static JFreeChart createChart(XYDataset xydataset)
    {
        JFreeChart jfreechart = ChartFactory.createTimeSeriesChart("Legal & General Unit Trust Prices",
                                                                   "Date",
                                                                   "Price Per Unit",
                                                                   xydataset,
                                                                   true,
                                                                   true,
                                                                   false);
        jfreechart.setBackgroundPaint(Color.white);
        XYPlot xyplot = (XYPlot)jfreechart.getPlot(); //获得 plot : XYPlot!!
        xyplot.setBackgroundPaint(Color.lightGray);
        xyplot.setDomainGridlinePaint(Color.white);
        xyplot.setRangeGridlinePaint(Color.white);
        xyplot.setAxisOffset(new RectangleInsets(5D, 5D, 5D, 5D));
        xyplot.setDomainCrosshairVisible(true);
        xyplot.setRangeCrosshairVisible(true);
        org.jfree.chart.renderer.xy.XYItemRenderer xyitemrenderer = xyplot.getRenderer();
        if(xyitemrenderer instanceof XYLineAndShapeRenderer)
        {
            XYLineAndShapeRenderer xylineandshaperenderer = (XYLineAndShapeRenderer)xyitemrenderer;
            xylineandshaperenderer.setDefaultShapesVisible(true); //数据点可见
            xylineandshaperenderer.setDefaultShapesFilled(true);  //数据点是实心点
        }
        DateAxis dateaxis = (DateAxis)xyplot.getDomainAxis(); //对domain 轴上日期显示格式定义
        dateaxis.setDateFormatOverride(new SimpleDateFormat("MMM-yyyy"));
        return jfreechart;
    } 
       一些重要的方法:
     A、增加标记线:
        xyplot.addRangeMarker(new ValueMarker(550D)); //数值轴
        Quarter quarter = new Quarter(2, 2002);
        xyplot.addDomainMarker(new ValueMarker(quarter.getMiddleMillisecond()));  //时间轴
     B、数据点的调整
        XYLineAndShapeRenderer xylineandshaperenderer = (XYLineAndShapeRenderer)xyplot.getRenderer();
        xylineandshaperenderer.setDefaultShapesVisible(true);  //数据点可见
        xylineandshaperenderer.setSeriesFillPaint(0, Color.red);  //数据点填充为红色
        xylineandshaperenderer.setSeriesFillPaint(1, Color.white);  //数据点填充为白色
        xylineandshaperenderer.setUseFillPaint(true);    //应用
     C、平均值曲线
       这个曲线有什么用呢?很简单的例子,这里有一个以半年每天为单位的数据绘制的曲线,我们想看看以月为单位数据
       的变化,这时就可以用到它了。
        TimeSeries timeseries = createEURTimeSeries();  //就是以半年每天为单位的数据
        TimeSeries timeseries1 = MovingAverage.createMovingAverage(timeseries,
                                                                   "30 day moving average",
                                                                   30, //30天为一个周期
                                                                   30); //最开始的30天跳过
        TimeSeriesCollection timeseriescollection = new TimeSeriesCollection();
        timeseriescollection.addSeries(timeseries);
        timeseriescollection.addSeries(timeseries1);
        return timeseriescollection;
    
[b]六、总结一下[/b]
                           dataset                          plot                    renderer                      
  饼图           PieDataset(DefaultPieDataset)           PiePlot                    ------
  柱状图    CatagoryDataset(DefaultCategoryDataset)    CategoryPlot                BarRenderer
  折线图    CatagoryDataset(DefaultCategoryDataset)    CategoryPlot              LineAndShapeRenderer
                  XYDataset(XYSeriesCollection)           XYPlot                XYLineAndShapeRenderer
  时间序列图     XYDataset (TimeSeriesCollection)         XYPlot                XYLineAndShapeRenderer
  这里只是一些常用的方法,具体还是看API ,主要的类总结如下:
JFreeChart:生成图表的中间存放类。

CategoryDataSet:图表的数据,主要包含行数据(String[] 类型),列数据(String[] 类型)和主数据                    (double[][]类型)。一般来说简单的图表主数据都是double[1][]类型的。
ChartFactory: 工厂类,提供多种方法生成多达30多种图表,用得比较多的是BarChart(柱状图),LineChart             (折线图),PieChart(饼状图)。工厂方法看起来比较统一:creatXXXChart(图表标题,              行标题,列标题,主数据(CategoryDataSet))
ChartUtities: 公用类,提供各种持久保存图表数据的方法,比如saveChartAsJPEG(File,                             JFreeChart,width,height)
其他还有一些渲染类,主要是用来美化图表界面,调整和优化显示风格等。
总的来说还不错,比jasperReport要简单,上手很快,图表效果也还不错,用来做普通数据图表足够了



[b]七、Item Lable[/b]
   这里以柱状图为例说明,具体来说就是在每个柱状上显示它的数据,具体有下面内容:
   A、使 Item Lable 可见
   B、调整 Item Lable 的颜色、字体等
   C、调整 Item Lable 的位置
   D、定制 Item Lable 的内容
   1、分配一个 Lable Generator 给 renderer
      BarRenderer barrenderer = (BarRenderer)categoryplot.getRenderer();
      GategoryLableGenerator generator =new StandardGategoryLableGenerator(
           "{2}", new DecimalFormat("0.00")    //调整显示的数字和字符格式
      );
      barrenderer.setLableGenerator(generator);
   2、使 Item Lable 可见
      barrenderer.setItemLableVisible(true);
   3、调整 Item Lable 的颜色、字体等
      barrenderer.setItemLablePaint(Color.red);
      barrenderer.setItemLableFont(new Font("SansSerif",Font.PLAIN,10));
   4、调整 Item Lable 的位置
      这里涉及到一个新的对象 ItemLablePosition , ItemLablePosition的构造函数有两个或四个参数
      public ItemLabelPosition(ItemLabelAnchor itemLabelAnchor,
                         org.jfree.ui.TextAnchor textAnchor,
                         org.jfree.ui.TextAnchor rotationAnchor,
                         double angle)
      itemLabelAnchor - Item Lable 的位置 (最重要的!!)
      textAnchor - Item Lable里包含的正文相对于Item Lable 的位置
      rotationAnchor - Item Lable里包含的正文旋转的位置
      angle - 旋转的角度
      ItemLabelPosition itemlabelposition = new ItemLabelPosition(ItemLabelAnchor.INSIDE12,
                                                      TextAnchor.CENTER_RIGHT,
                                                      TextAnchor.CENTER_RIGHT,
                                                      -1.57D);
      barrenderer.setPositiveItemLabelPosition(itemlabelposition);
   这样就可以每个柱状上显示它的数据了,当然可以定制 Item Lable 的内容,比如 Item Lable text 超过100的才
   显示,这样就需要定制自己的类,它要实现GategoryLableGenerator 接口,实现generateItemLable()方法。


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