我有时间JFreeChart显示过去30天的温度。现在我想要点击图表上的随机点，它应该给我这个点的温度值。
有人可以帮我这个吗？
修改：
以下是我使用的代码：
package org.skzr.chart4me.demo.time;
import java.awt.Dimension;
import java.text.SimpleDateFormat;
import javax.swing.JPanel;
import org.jfree.chart.*;
import org.jfree.chart.axis.DateAxis;
import org.jfree.chart.plot.XYPlot;
import org.jfree.chart.renderer.xy.XYLineAndShapeRenderer;
import org.jfree.data.time.*;
import org.jfree.data.xy.XYDataset;
import org.jfree.ui.ApplicationFrame;
import org.jfree.ui.RefineryUtilities;
public class TimeSeriesDemo1 extends ApplicationFrame {
private static final long serialVersionUID = 1L;
public TimeSeriesDemo1(String s) {
super(s);
JPanel jpanel = createDemoPanel();
jpanel.setPreferredSize(new Dimension(500, 270));
setContentPane(jpanel);
}
private static JFreeChart createChart(XYDataset xydataset) {
JFreeChart jfreechart = ChartFactory.createTimeSeriesChart(
"Legal & General Unit Trust Prices", "Date", "Price Per Unit",
xydataset, true, true, false);
XYPlot xyplot = (XYPlot) jfreechart.getPlot();
xyplot.setDomainPannable(true);
xyplot.setRangePannable(false);
xyplot.setDomainCrosshairVisible(true);
xyplot.setRangeCrosshairVisible(true);
org.jfree.chart.renderer.xy.XYItemRenderer xyitemrenderer = xyplot
.getRenderer();
if (xyitemrenderer instanceof XYLineAndShapeRenderer) {
XYLineAndShapeRenderer xylineandshaperenderer = (XYLineAndShapeRenderer) xyitemrenderer;
xylineandshaperenderer.setBaseShapesVisible(false);
}
DateAxis dateaxis = (DateAxis) xyplot.getDomainAxis();
dateaxis.setDateFormatOverride(new SimpleDateFormat("MMM-yyyy"));
return jfreechart;
}
private static XYDataset createDataset() {
TimeSeries timeseries = new TimeSeries("L&G European Index Trust");
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.add(new Month(8, 2002), 110.3D);
timeseries.add(new Month(9, 2002), 110.5D);
timeseries.add(new Month(10, 2002), 94.109999999999999D);
timeseries.add(new Month(11, 2002), 102.5D);
timeseries.add(new Month(12, 2002), 112.3D);
timeseries.add(new Month(1, 2003), 104D);
timeseries.add(new Month(2, 2003), 98.530000000000001D);
timeseries.add(new Month(3, 2003), 97.150000000000006D);
timeseries.add(new Month(4, 2003), 94.900000000000006D);
timeseries.add(new Month(5, 2003), 107.8D);
timeseries.add(new Month(6, 2003), 113.7D);
timeseries.add(new Month(7, 2003), 112.5D);
timeseries.add(new Month(8, 2003), 118.59999999999999D);
timeseries.add(new Month(9, 2003), 123.8D);
timeseries.add(new Month(10, 2003), 117.2D);
timeseries.add(new Month(11, 2003), 123D);
timeseries.add(new Month(12, 2003), 127D);
timeseries.add(new Month(1, 2004), 132.69999999999999D);
timeseries.add(new Month(2, 2004), 132.40000000000001D);
timeseries.add(new Month(3, 2004), 131.69999999999999D);
timeseries.add(new Month(4, 2004), 128D);
timeseries.add(new Month(5, 2004), 131.80000000000001D);
timeseries.add(new Month(6, 2004), 127.40000000000001D);
timeseries.add(new Month(7, 2004), 133.5D);
timeseries.add(new Month(8, 2004), 126D);
timeseries.add(new Month(9, 2004), 129.5D);
timeseries.add(new Month(10, 2004), 135.30000000000001D);
timeseries.add(new Month(11, 2004), 138D);
timeseries.add(new Month(12, 2004), 141.30000000000001D);
timeseries.add(new Month(1, 2005), 148.80000000000001D);
timeseries.add(new Month(2, 2005), 147.09999999999999D);
timeseries.add(new Month(3, 2005), 150.69999999999999D);
timeseries.add(new Month(4, 2005), 150D);
timeseries.add(new Month(5, 2005), 145.69999999999999D);
timeseries.add(new Month(6, 2005), 152D);
timeseries.add(new Month(7, 2005), 157.19999999999999D);
timeseries.add(new Month(8, 2005), 167D);
timeseries.add(new Month(9, 2005), 165D);
timeseries.add(new Month(10, 2005), 171.59999999999999D);
timeseries.add(new Month(11, 2005), 166.19999999999999D);
timeseries.add(new Month(12, 2005), 174.30000000000001D);
timeseries.add(new Month(1, 2006), 183.80000000000001D);
timeseries.add(new Month(2, 2006), 187D);
timeseries.add(new Month(3, 2006), 191.30000000000001D);
timeseries.add(new Month(4, 2006), 202.5D);
timeseries.add(new Month(5, 2006), 200.59999999999999D);
timeseries.add(new Month(6, 2006), 187.30000000000001D);
timeseries.add(new Month(7, 2006), 192.19999999999999D);
timeseries.add(new Month(8, 2006), 190.80000000000001D);
timeseries.add(new Month(9, 2006), 194.69999999999999D);
timeseries.add(new Month(10, 2006), 201.30000000000001D);
timeseries.add(new Month(11, 2006), 205.09999999999999D);
timeseries.add(new Month(12, 2006), 206.69999999999999D);
timeseries.add(new Month(1, 2007), 216.80000000000001D);
timeseries.add(new Month(2, 2007), 218D);
timeseries.add(new Month(3, 2007), 215.40000000000001D);
timeseries.add(new Month(4, 2007), 223D);
timeseries.add(new Month(5, 2007), 235.09999999999999D);
timeseries.add(new Month(6, 2007), 242D);
timeseries.add(new Month(7, 2007), 237.80000000000001D);
TimeSeries timeseries1 = new TimeSeries("L&G UK Index Trust");
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);
timeseries1.add(new Month(8, 2002), 90.950000000000003D);
timeseries1.add(new Month(9, 2002), 91.019999999999996D);
timeseries1.add(new Month(10, 2002), 82.370000000000005D);
timeseries1.add(new Month(11, 2002), 86.319999999999993D);
timeseries1.add(new Month(12, 2002), 91D);
timeseries1.add(new Month(1, 2003), 86D);
timeseries1.add(new Month(2, 2003), 80.040000000000006D);
timeseries1.add(new Month(3, 2003), 80.400000000000006D);
timeseries1.add(new Month(4, 2003), 80.280000000000001D);
timeseries1.add(new Month(5, 2003), 86.420000000000002D);
timeseries1.add(new Month(6, 2003), 91.400000000000006D);
timeseries1.add(new Month(7, 2003), 90.519999999999996D);
timeseries1.add(new Month(8, 2003), 93.109999999999999D);
timeseries1.add(new Month(9, 2003), 96.799999999999997D);
timeseries1.add(new Month(10, 2003), 94.780000000000001D);
timeseries1.add(new Month(11, 2003), 99.560000000000002D);
timeseries1.add(new Month(12, 2003), 100.8D);
timeseries1.add(new Month(1, 2004), 103.40000000000001D);
timeseries1.add(new Month(2, 2004), 102.09999999999999D);
timeseries1.add(new Month(3, 2004), 105.3D);
timeseries1.add(new Month(4, 2004), 103.7D);
timeseries1.add(new Month(5, 2004), 105.2D);
timeseries1.add(new Month(6, 2004), 103.7D);
timeseries1.add(new Month(7, 2004), 105.7D);
timeseries1.add(new Month(8, 2004), 103.59999999999999D);
timeseries1.add(new Month(9, 2004), 106.09999999999999D);
timeseries1.add(new Month(10, 2004), 109.3D);
timeseries1.add(new Month(11, 2004), 110.3D);
timeseries1.add(new Month(12, 2004), 112.59999999999999D);
timeseries1.add(new Month(1, 2005), 116D);
timeseries1.add(new Month(2, 2005), 117.3D);
timeseries1.add(new Month(3, 2005), 120.09999999999999D);
timeseries1.add(new Month(4, 2005), 119.3D);
timeseries1.add(new Month(5, 2005), 116.2D);
timeseries1.add(new Month(6, 2005), 120.8D);
timeseries1.add(new Month(7, 2005), 125.2D);
timeseries1.add(new Month(8, 2005), 127.7D);
timeseries1.add(new Month(9, 2005), 130.80000000000001D);
timeseries1.add(new Month(10, 2005), 131D);
timeseries1.add(new Month(11, 2005), 135.30000000000001D);
timeseries1.add(new Month(12, 2005), 141.19999999999999D);
timeseries1.add(new Month(1, 2006), 144.69999999999999D);
timeseries1.add(new Month(2, 2006), 146.40000000000001D);
timeseries1.add(new Month(3, 2006), 151.90000000000001D);
timeseries1.add(new Month(4, 2006), 153.5D);
timeseries1.add(new Month(5, 2006), 144.5D);
timeseries1.add(new Month(6, 2006), 150.09999999999999D);
timeseries1.add(new Month(7, 2006), 148.69999999999999D);
timeseries1.add(new Month(8, 2006), 150.09999999999999D);
timeseries1.add(new Month(9, 2006), 151.59999999999999D);
timeseries1.add(new Month(10, 2006), 153.40000000000001D);
timeseries1.add(new Month(11, 2006), 158.30000000000001D);
timeseries1.add(new Month(12, 2006), 157.59999999999999D);
timeseries1.add(new Month(1, 2007), 163.90000000000001D);
timeseries1.add(new Month(2, 2007), 163.80000000000001D);
timeseries1.add(new Month(3, 2007), 162D);
timeseries1.add(new Month(4, 2007), 167.09999999999999D);
timeseries1.add(new Month(5, 2007), 170D);
timeseries1.add(new Month(6, 2007), 175.69999999999999D);
timeseries1.add(new Month(7, 2007), 171.90000000000001D);
TimeSeriesCollection timeseriescollection = new TimeSeriesCollection();
timeseriescollection.addSeries(timeseries);
timeseriescollection.addSeries(timeseries1);
return timeseriescollection;
}
public static JPanel createDemoPanel() {
JFreeChart jfreechart = createChart(createDataset());
return new ChartPanel(jfreechart);
}
public static void main(String args[]) {
TimeSeriesDemo1 timeseriesdemo1 = new TimeSeriesDemo1(
"Time Series Demo 1");
timeseriesdemo1.pack();
RefineryUtilities.centerFrameOnScreen(timeseriesdemo1);
timeseriesdemo1.setVisible(true);
}
}
答案 0 :(得分：1)
您应该分两步完成。首先，在轴上找到与单击鼠标点对应的x值。 trashgod在上面的评论中提供了一些很好的提示。
一旦知道了x值，就可以使用DatasetUtilities.findYValue(...)找到相应的y值（必要时进行插值）。
答案 1 :(得分：0)
另一个问题向我展示了如何做到：JFreeChart : obtain data source value on mouse click
这是我的最终代码：
panel_Letzte24H.addChartMouseListener((new ChartMouseListener() {
public void chartMouseClicked(ChartMouseEvent mE) {
System.out.println(mE.getEntity());
String full = mE.getEntity().toString();
String[] firstSplit = full.split("item = ");
String[] finalSplit= firstSplit[1].split(",");
try{
int index;
index = Integer.parseInt(finalSplit[0]);
System.out.println("Indexnumber: " + index);
}
catch(NullPointerException e){}
}
public void chartMouseMoved(ChartMouseEvent arg0) {
// nothing here
}
}));
我不得不将字符串拆分两次以获得索引编号。