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java JFreeChart X轴标签已超出图表区域

我有一个JFreeChart图表,其中DateAxis作为域。它看起来非常漂亮,但是最后一个轴标签有时会超出图表区域。下面是要复制的示例代码:

public class LineChart_AWT extends ApplicationFrame {

    public LineChart_AWT( String applicationTitle , String chartTitle ) {
          super(applicationTitle);

          ValueAxis timeAxis = new DateAxis("");
          NumberAxis valueAxis = new NumberAxis("Number");
          ((DateAxis)timeAxis).setDateFormatOverride(new SimpleDateFormat("YYYY-MM-dd HH:mm"));
          XYPlot plot = new XYPlot(createDataset(), timeAxis, valueAxis, null);
          XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(true, false);

          plot.setRenderer(renderer);
          plot.getRangeAxis().setAutoRange(true);
          ((NumberAxis)plot.getRangeAxis()).setAutoRangeIncludesZero(false);
          JFreeChart lineChart = new JFreeChart(chartTitle, plot);
          plot.setBackgroundPaint(Color.lightGray);

          plot.setDomainGridlinesVisible(true);
          plot.setRangeGridlinesVisible(true);
          plot.setDomainGridlinePaint(Color.white);
          plot.setRangeGridlinePaint(Color.white);

          lineChart.setBackgroundPaint(Color.white);
          ChartPanel chartPanel = new ChartPanel( lineChart );
          chartPanel.setPreferredSize( new java.awt.Dimension( 560 , 367 ) );
          setContentPane( chartPanel );
       }

       private TimeSeriesCollection createDataset( ) {
           TimeSeries typeA = new TimeSeries("TypeA");
         TimeSeries typeB = new TimeSeries("TypeB");
         TimeSeriesCollection collection = new TimeSeriesCollection();

         collection.addSeries(typeA);
         collection.addSeries(typeB);
         typeA = collection.getSeries("TypeA");

         typeA.add(new Hour(8, new Day()), 1.0);
         typeA.add(new Hour(10, new Day()), 1.0);
         typeA.add(new Hour(11, new Day()), 1.0);
         typeA.add(new Hour(13, new Day()), 1.0);
         typeA.add(new Hour(16, new Day()), 2.0);
         typeA.add(new Hour(18, new Day()), 2.0);

         typeB.add(new Hour(8, new Day()), 1.0);
         typeB.add(new Hour(19, new Day()), 2.0);
         typeB.add(new Hour(20, new Day()), 5.0);


          return collection;
       }

       public static void main( String[ ] args ) {
          LineChart_AWT chart = new LineChart_AWT(
             "X-axis demo" ,
             "X-axis labels are truncated");

          chart.pack( );
          RefineryUtilities.centerFrameOnScreen( chart );
          chart.setVisible( true );
       }
    }

以下是当前的屏幕截图;问题可以在最后一个标签上看到:

date labels clipped

是什么导致最后一个标签在当前图表区域之外呈现?还有,我该如何预防呢

更新

下面是一个更全面的例子,包括截图和所有细节

根据@trashgood的评论,我已经更新到了最新的JFreeChart引擎 (jfreechart-1.0.19.jar和jcommon-1.0.23.jar) (jfreechart-1.6.0-snapshot.jar)

考虑这个例子(这深深地依赖于@ TrasHood的建议-非常感谢):

import java.awt.Color;
import java.awt.Dimension;
import java.awt.EventQueue;
import java.text.SimpleDateFormat;
import org.jfree.chart.ChartPanel;
import org.jfree.chart.JFreeChart;
import org.jfree.chart.axis.DateAxis;
import org.jfree.chart.axis.NumberAxis;
import org.jfree.chart.plot.XYPlot;
import org.jfree.chart.renderer.xy.XYLineAndShapeRenderer;
import org.jfree.chart.ui.ApplicationFrame;
import org.jfree.data.time.Minute;
import org.jfree.data.time.TimeSeries;
import org.jfree.data.time.TimeSeriesCollection;

/**
 * @see https://stackoverflow.com/a/57637615/230513
 * @see https://stackoverflow.com/a/57544811/230513
 */
public class TimeChart extends ApplicationFrame {

    private static boolean lot_of_values = false;

    public TimeChart(String applicationTitle, String chartTitle) {
        super(applicationTitle);

        DateAxis timeAxis = new DateAxis("Timestamp");
        timeAxis.setUpperMargin(DateAxis.DEFAULT_UPPER_MARGIN /* * 2*/); // UPDATED
        timeAxis.setLowerMargin(DateAxis.DEFAULT_LOWER_MARGIN /* * 2*/); // UPDATED
        timeAxis.setDateFormatOverride(new SimpleDateFormat("YYYY-MM-dd HH:mm"));
        NumberAxis numberAxis = new NumberAxis("Number");
        numberAxis.setAutoRangeIncludesZero(false);
        XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(true, false);
        XYPlot plot = new XYPlot(createDataset(), timeAxis, numberAxis, renderer);
        plot.setBackgroundPaint(Color.lightGray);
        plot.setDomainGridlinePaint(Color.white);
        plot.setRangeGridlinePaint(Color.white);
        JFreeChart lineChart = new JFreeChart(chartTitle, plot);
        lineChart.setBackgroundPaint(Color.white);
        ChartPanel chartPanel = new ChartPanel(lineChart) {
            @Override
            public Dimension getPreferredSize() {
                return new Dimension(1529 , 538);
            }
        };
        add(chartPanel);
    }

    private TimeSeriesCollection createDataset() {

        TimeSeries typeA = new TimeSeries("Temperatures");
        TimeSeriesCollection collection = new TimeSeriesCollection();

        collection.addSeries(typeA);

        if (lot_of_values) {
            typeA.add(Minute.parseMinute("2019-08-25 00:00"), 26.68);
            typeA.add(Minute.parseMinute("2019-08-25 01:00"), 26.75);
            typeA.add(Minute.parseMinute("2019-08-25 02:00"), 25.95);
            typeA.add(Minute.parseMinute("2019-08-25 03:00"), 25.47);
            typeA.add(Minute.parseMinute("2019-08-25 04:00"), 25.19);
            typeA.add(Minute.parseMinute("2019-08-25 05:00"), 24.65);
            typeA.add(Minute.parseMinute("2019-08-25 06:00"), 24.61);
            typeA.add(Minute.parseMinute("2019-08-25 07:00"), 25.58);
            typeA.add(Minute.parseMinute("2019-08-25 08:00"), 26.43);
            typeA.add(Minute.parseMinute("2019-08-25 09:00"), 26.96);
            typeA.add(Minute.parseMinute("2019-08-25 10:00"), 27.81);
            typeA.add(Minute.parseMinute("2019-08-25 11:00"), 28.69);
            typeA.add(Minute.parseMinute("2019-08-25 12:00"), 29.39);
            typeA.add(Minute.parseMinute("2019-08-25 13:00"), 29.89);
            typeA.add(Minute.parseMinute("2019-08-25 14:00"), 30.32);
            typeA.add(Minute.parseMinute("2019-08-25 15:00"), 30.69);
            typeA.add(Minute.parseMinute("2019-08-25 16:00"), 30.83);
            typeA.add(Minute.parseMinute("2019-08-25 17:00"), 30.85);
            typeA.add(Minute.parseMinute("2019-08-25 18:00"), 30.64);
            typeA.add(Minute.parseMinute("2019-08-25 19:00"), 30.04);
            typeA.add(Minute.parseMinute("2019-08-25 20:00"), 29.51);
            typeA.add(Minute.parseMinute("2019-08-25 21:00"), 28.63);
            typeA.add(Minute.parseMinute("2019-08-25 22:00"), 28.48);
            typeA.add(Minute.parseMinute("2019-08-25 23:00"), 27.15);
            typeA.add(Minute.parseMinute("2019-08-26 00:00"), 27.3);
            typeA.add(Minute.parseMinute("2019-08-26 01:00"), 27.05);
            typeA.add(Minute.parseMinute("2019-08-26 02:00"), 26.84);
            typeA.add(Minute.parseMinute("2019-08-26 03:00"), 26.47);
            typeA.add(Minute.parseMinute("2019-08-26 04:00"), 26.34);
            typeA.add(Minute.parseMinute("2019-08-26 05:00"), 25.95);
            typeA.add(Minute.parseMinute("2019-08-26 06:00"), 26.46);
            typeA.add(Minute.parseMinute("2019-08-26 07:00"), 26.75);
            typeA.add(Minute.parseMinute("2019-08-26 08:00"), 26.94);
            typeA.add(Minute.parseMinute("2019-08-26 09:00"), 27.05);
            typeA.add(Minute.parseMinute("2019-08-26 10:00"), 27.35);
            typeA.add(Minute.parseMinute("2019-08-26 11:00"), 27.67);
            typeA.add(Minute.parseMinute("2019-08-26 12:00"), 28.12);
            typeA.add(Minute.parseMinute("2019-08-26 13:00"), 28.41);
            typeA.add(Minute.parseMinute("2019-08-26 14:00"), 28.67);
            typeA.add(Minute.parseMinute("2019-08-26 15:00"), 28.99);
            typeA.add(Minute.parseMinute("2019-08-26 16:00"), 28.99);
            typeA.add(Minute.parseMinute("2019-08-26 17:00"), 29.02);
            typeA.add(Minute.parseMinute("2019-08-26 18:00"), 29.02);
            typeA.add(Minute.parseMinute("2019-08-26 19:00"), 28.43);
            typeA.add(Minute.parseMinute("2019-08-26 20:00"), 27.87);
            typeA.add(Minute.parseMinute("2019-08-26 21:00"), 27.2);
            typeA.add(Minute.parseMinute("2019-08-26 22:00"), 26.88);
            typeA.add(Minute.parseMinute("2019-08-26 23:00"), 26.31);
            typeA.add(Minute.parseMinute("2019-08-27 00:00"), 26.02);
            typeA.add(Minute.parseMinute("2019-08-27 01:00"), 25.51);
            typeA.add(Minute.parseMinute("2019-08-27 02:00"), 25.12);
            typeA.add(Minute.parseMinute("2019-08-27 03:00"), 25.11);
            typeA.add(Minute.parseMinute("2019-08-27 04:00"), 24.97);
            typeA.add(Minute.parseMinute("2019-08-27 05:00"), 24.85);
            typeA.add(Minute.parseMinute("2019-08-27 06:00"), 24.73);
            typeA.add(Minute.parseMinute("2019-08-27 07:00"), 25.04);
            typeA.add(Minute.parseMinute("2019-08-27 08:00"), 25.68);
            typeA.add(Minute.parseMinute("2019-08-27 09:00"), 26.22);
            typeA.add(Minute.parseMinute("2019-08-27 10:00"), 26.69);
            typeA.add(Minute.parseMinute("2019-08-27 11:00"), 27.3);
            typeA.add(Minute.parseMinute("2019-08-27 12:00"), 27.84);
            typeA.add(Minute.parseMinute("2019-08-27 13:00"), 28.26);
            typeA.add(Minute.parseMinute("2019-08-27 14:00"), 28.6);
            typeA.add(Minute.parseMinute("2019-08-27 15:00"), 29.03);
            typeA.add(Minute.parseMinute("2019-08-27 16:00"), 29.38);
            typeA.add(Minute.parseMinute("2019-08-27 17:00"), 29.62);
            typeA.add(Minute.parseMinute("2019-08-27 18:00"), 29.47);
            typeA.add(Minute.parseMinute("2019-08-27 19:00"), 29.01);
            typeA.add(Minute.parseMinute("2019-08-27 20:00"), 28.31);
            typeA.add(Minute.parseMinute("2019-08-27 21:00"), 27.69);
            typeA.add(Minute.parseMinute("2019-08-27 22:00"), 26.93);
            typeA.add(Minute.parseMinute("2019-08-27 23:00"), 26.37);
        }

        typeA.add(Minute.parseMinute("2019-08-28 00:00"), 26.12);
        typeA.add(Minute.parseMinute("2019-08-28 01:00"), 25.77);
        typeA.add(Minute.parseMinute("2019-08-28 02:00"), 25.42);
        typeA.add(Minute.parseMinute("2019-08-28 03:00"), 25.0);
        typeA.add(Minute.parseMinute("2019-08-28 04:00"), 24.57);
        typeA.add(Minute.parseMinute("2019-08-28 05:00"), 24.23);
        typeA.add(Minute.parseMinute("2019-08-28 06:00"), 24.38);
        typeA.add(Minute.parseMinute("2019-08-28 07:00"), 24.99);
        typeA.add(Minute.parseMinute("2019-08-28 08:00"), 25.86);
        typeA.add(Minute.parseMinute("2019-08-28 09:00"), 26.53);
        typeA.add(Minute.parseMinute("2019-08-28 10:00"), 27.32);
        typeA.add(Minute.parseMinute("2019-08-28 11:00"), 27.95);
        typeA.add(Minute.parseMinute("2019-08-28 12:00"), 28.64);
        typeA.add(Minute.parseMinute("2019-08-28 13:00"), 29.38);
        typeA.add(Minute.parseMinute("2019-08-28 14:00"), 29.74);
        typeA.add(Minute.parseMinute("2019-08-28 15:00"), 30.13);
        typeA.add(Minute.parseMinute("2019-08-28 16:00"), 30.42);
        typeA.add(Minute.parseMinute("2019-08-28 17:00"), 30.48);
        typeA.add(Minute.parseMinute("2019-08-28 18:00"), 30.14);
        typeA.add(Minute.parseMinute("2019-08-28 19:00"), 29.41);
        typeA.add(Minute.parseMinute("2019-08-28 20:00"), 28.47);
        typeA.add(Minute.parseMinute("2019-08-28 21:00"), 28.05);



        return collection;
    }

    public static void main(String[] args) {
        EventQueue.invokeLater(new Runnable() {
            @Override
            public void run() {
                TimeChart chart = new TimeChart(
                    "Date axis demo",
                    "Date axis labels are visible");

                chart.pack();
                chart.setVisible(true);
            }
        });
    }
}

请注意,我已经将首选图表大小更改为1529 x 538(我需要生成一个具有此大小的PNG),并且我还引入了一个名为lot_of_values的新静态变量。最初,它被设置为,下面是一个屏幕截图:

enter image description here

但是,如果我将lot_of_values更改为true(这将向集合中添加更多数据——您可以在源代码中看到),域轴的最后一个标签将被剪切。下面是一个屏幕截图,其中包含大量的值=true:

enter image description here

更新2

我已经挖掘了JFreeChart的资源,我正在解决这个问题。(我还不得不从上面的源代码中删除一些行,以符合30k字符的限制)

考虑下面的截图: enter image description here

我认为边距值是在图表当前数据绘制之前和之后应用的,而不是应用于当前范围刻度。这就是为什么最后一个记号标签可以被剪掉

如果数据会一直填充到最后一个刻度(目前为2019-08-29 00:00),这不会是一个问题,因为在这种情况下,边距将允许正确打印该值

让我们看看这方面的概念证明。我在数据集中添加了三行:

typeA.add(Minute.parseMinute("2019-08-28 21:00"), 28.05); //original line
typeA.add(Minute.parseMinute("2019-08-28 22:00"), 28.05); //new line
typeA.add(Minute.parseMinute("2019-08-28 23:00"), 28.05); //new line
typeA.add(Minute.parseMinute("2019-08-29 00:00"), 28.05); //new line

现在结果是: enter image description here

也可以通过调用以下命令来修改轴的最大日期

timeAxis.setMaximumDate(new Date(119,7,29,4,36));

现在我将继续寻找这个最大日期的计算位置。如果有人知道,请告诉我


共 (0) 个答案