JFreeChart - 时间序列图

2024 年 8 月 29 日 | 阅读 2 分钟

时间序列图表示一系列数值数据，这些数据以相等的时间间隔变化。

以下图片显示了 JFreeChart 库中包含的时间序列图的一些演示版本

时间序列图演示 1

时间序列图演示 2

时间序列图演示 3

时间序列图演示 4

时间序列图演示 5

时间序列图示例

让我们考虑以下用于时间序列图的示例数据。

日期	序列 1	序列 2
2017-01-01	50	40
2017-01-02	40	35
2017-01-03	45	26
2017-01-04	30	45
2017-01-05	50	40
2017-01-06	45	35
2017-01-07	60	45
2017-01-08	45	48
2017-01-09	55	31
2017-01-10	48	32
2017-01-11	60	21
2017-01-12	45	35
2017-01-13	65	10
2017-01-14	45	25
2017-01-15	55	15

以下代码从上面的示例数据创建一个气泡图

TimeSeriesChartExample.java

import java.awt.Color;
import javax.swing.JFrame;
import javax.swing.SwingUtilities;
import javax.swing.WindowConstants;
import org.jfree.chart.ChartFactory;
import org.jfree.chart.ChartPanel;
import org.jfree.chart.JFreeChart;
import org.jfree.chart.plot.XYPlot;
import org.jfree.data.time.Day;
import org.jfree.data.time.TimeSeries;
import org.jfree.data.time.TimeSeriesCollection;
import org.jfree.data.xy.XYDataset;

public class TimeSeriesChartExample extends JFrame {

  private static final long serialVersionUID = 1L;

  public TimeSeriesChartExample(String title) {
    super(title);
    // Create dataset
    XYDataset dataset = createDataset();
    // Create chart
    JFreeChart chart = ChartFactory.createTimeSeriesChart(
        "Time Series Chart Example", // Chart
        "Date", // X-Axis Label
        "Number", // Y-Axis Label
        dataset);

    //Changes background color
    XYPlot plot = (XYPlot)chart.getPlot();
    plot.setBackgroundPaint(new Color(255,228,196));
    
    ChartPanel panel = new ChartPanel(chart);
    setContentPane(panel);
  }

  private XYDataset createDataset() {
    TimeSeriesCollection dataset = new TimeSeriesCollection();

    TimeSeries series1 = new TimeSeries("Series1");
    series1.add(new Day(1, 1, 2017), 50);
    series1.add(new Day(2, 1, 2017), 40);
    series1.add(new Day(3, 1, 2017), 45);
    series1.add(new Day(4, 1, 2017), 30);
    series1.add(new Day(5, 1, 2017), 50);
    series1.add(new Day(6, 1, 2017), 45);
    series1.add(new Day(7, 1, 2017), 60);
    series1.add(new Day(8, 1, 2017), 45);
    series1.add(new Day(9, 1, 2017), 55);
    series1.add(new Day(10, 1, 2017), 48);
    series1.add(new Day(11, 1, 2017), 60);
    series1.add(new Day(12, 1, 2017), 45);
    series1.add(new Day(13, 1, 2017), 65);
    series1.add(new Day(14, 1, 2017), 45);
    series1.add(new Day(15, 1, 2017), 55);
    dataset.addSeries(series1);

    TimeSeries series2 = new TimeSeries("Series2");
    series2.add(new Day(1, 1, 2017), 40);
    series2.add(new Day(2, 1, 2017), 35);
    series2.add(new Day(3, 1, 2017), 26);
    series2.add(new Day(4, 1, 2017), 45);
    series2.add(new Day(5, 1, 2017), 40);
    series2.add(new Day(6, 1, 2017), 35);
    series2.add(new Day(7, 1, 2017), 45);
    series2.add(new Day(8, 1, 2017), 48);
    series2.add(new Day(9, 1, 2017), 31);
    series2.add(new Day(10, 1, 2017), 32);
    series2.add(new Day(11, 1, 2017), 21);
    series2.add(new Day(12, 1, 2017), 35);
    series2.add(new Day(13, 1, 2017), 10);
    series2.add(new Day(14, 1, 2017), 25);
    series2.add(new Day(15, 1, 2017), 15);
    dataset.addSeries(series2);
    

    return dataset;
  }

  public static void main(String[] args) {
    SwingUtilities.invokeLater(() -> {
      TimeSeriesChartExample example = new TimeSeriesChartExample("Time Series Chart");
      example.setSize(800, 400);
      example.setLocationRelativeTo(null);
      example.setVisible(true);
      example.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
    });
  }
}

输出