Difference between revisions of "Data Visualization with Java"

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(PTPlot Library)
(Other Libraries)
 
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* Webpage and download: [http://jchart2d.sourceforge.net/index.shtml]
 
* Webpage and download: [http://jchart2d.sourceforge.net/index.shtml]
  
JChart2D is an minimalistic realtime charting library published under the OSI approved [http://www.gnu.org/copyleft/lesser.txt GNU LESSER GENERAL PUBLIC LICENSE]. It is designed for displaying multiple traces consisting of tracepoints. JChart2D is centered around a single configureable swing widget: the Chart2D. It is a JComponent one can add to a java swing user interface. Therefore basic knowledge of java awt and swing and the information provided on this site is helpful. If no basic knowledge of swing and awt is given, the example code will give a quick entry as well.
+
JChart2D is an minimalistic realtime charting library published under the OSI approved [http://www.gnu.org/copyleft/lesser.txt GNU LESSER GENERAL PUBLIC LICENSE]. It is designed for displaying multiple traces consisting of tracepoints. JChart2D is centered around a single configureable swing widget: the Chart2D. It is a JComponent one can add to a java swing user interface. Therefore basic knowledge of java awt and swing and the information provided on this site is helpful. If basic knowledge of swing and awt is given, JChart2D is very easy to understand an to use.
  
 
===Code Examples===
 
===Code Examples===
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   // Create a chart:   
 
   // Create a chart:   
 
   Chart2D chart = new Chart2D();
 
   Chart2D chart = new Chart2D();
   // Create an ITrace:  
+
   // Create an Trace:  
 
   ITrace2D trace = new Trace2DSimple();  
 
   ITrace2D trace = new Trace2DSimple();  
 
   // Add the trace to the chart:  
 
   // Add the trace to the chart:  
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which looks like this:
 
which looks like this:
  
'''Screenshot'''
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[[Image:JChart2DStaticXYChart.PNG]]
  
 
== JFreeChart Library ==
 
== JFreeChart Library ==
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which looks like this:
 
which looks like this:
  
'''Screenshot'''
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[[Image:JFreeChartLineChart.PNG‎]]
  
 
== PTPlot Library ==
 
== PTPlot Library ==
  
* License Model: open source [http://ptolemy.eecs.berkeley.edu/ptIIcopyright.htm UC Berkeley copyright]
+
* License Model: Open Source [http://ptolemy.eecs.berkeley.edu/ptIIcopyright.htm UC Berkeley copyright]
* Webpage and download: [http://ptolemy.eecs.berkeley.edu/ptolemyII/index.htm]
+
* Webpage and download: [http://ptolemy.berkeley.edu/java/ptplot5.7/ptolemy/plot/doc/index.htm]
  
 
Ptplot 5.7 is a 2D data plotter and histogram tool implemented in Java. Ptplot can be used as a standalone applet or application, or it can be embedded in your own applet or application.  
 
Ptplot 5.7 is a 2D data plotter and histogram tool implemented in Java. Ptplot can be used as a standalone applet or application, or it can be embedded in your own applet or application.  
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which looks like this:
 
which looks like this:
  
'''Screenshot'''
+
[[Image:PTPlotXYLiveChart.PNG]]
  
 
== JCCKit Library ==
 
== JCCKit Library ==
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* Webpage and download: [http://jcckit.sourceforge.net/]
 
* Webpage and download: [http://jcckit.sourceforge.net/]
  
JCCKit is is a package, that is a little bit difficult to use because you need a lot of time for making adjustments. But the result looks nice.
+
The JCCKit is a small (< 100Kb) library and a very flexible framework for creating scientific charts and plots.
 +
JCCKit is written for the JDK™ 1.1.8 platform (except of a Graphics2D renderer). Thus, it is suitable for scientific Applets and for PDA's running a PersonalJava™ implementation.
 +
The main purpose is to provide a flexible kit for writing applets and application with the need for visualizing scientific data. If you are looking for a lean scientific chart and plot library without all the unwanted bells and whistles of the heavy competitors try JCCKit.
 +
The key features of JCCKit are:
 +
 
 +
*small (< 100Kb jar file)
 +
*highly configurable due to a sophisticated configuration concept (this makes JCCKit difficult to understand because you have to know how all the parameters are called, and there are a lot of parameters)
 +
*automatic updating if data changes
 +
*automatic rescaling if canvas size changes
 +
 
  
 
===Code Examples===
 
===Code Examples===
Line 286: Line 295:
 
which looks like this:
 
which looks like this:
  
'''Screenshot'''
+
[[Image:JCCKitXYChart.PNG]]
 
 
== ExampleChart Library ==
 
 
 
* License Model: open source (LGPL license)
 
* Webpage and download: [http://www.ExampleChart.eu]
 
 
 
The library bla bla bla .....
 
 
 
===Code Examples===
 
 
 
The follwing code snipped creates a pie chart together with a life update Venn Diagramm
 
 
 
code
 
 
code code
 
code code? // comment
 
code code code !!
 
 
 
which looks like this:
 
 
 
'''Screenshot'''
 
 
 
== Other Libraries ==
 
 
 
The following Java libraries looked promising, but turned out to be not recommendable:
 
* [http://www.thelink.com M$$-Chart] commercial license (500 € per license)
 
* [http://www.thelink.com Crash-Chart] beta version, still needs a lot of development, crashes frequently
 
* [http://www.thelink.com Bad-Chart] bad performance, missing important chart types like xy-Diagrams
 

Latest revision as of 14:23, 10 August 2010

JChart2D Library

  • License Model: open source (LGPL license)
  • Webpage and download: [1]

JChart2D is an minimalistic realtime charting library published under the OSI approved GNU LESSER GENERAL PUBLIC LICENSE. It is designed for displaying multiple traces consisting of tracepoints. JChart2D is centered around a single configureable swing widget: the Chart2D. It is a JComponent one can add to a java swing user interface. Therefore basic knowledge of java awt and swing and the information provided on this site is helpful. If basic knowledge of swing and awt is given, JChart2D is very easy to understand an to use.

Code Examples

The follwing code snipped creates a static XY Diagramm

import info.monitorenter.gui.chart.Chart2D;
import info.monitorenter.gui.chart.ITrace2D;
import info.monitorenter.gui.chart.traces.Trace2DSimple;
import javax.swing.JFrame;
public class MinimalStaticChart {
private MinimalStaticChart() {
  super();
}
public static void main(String[]args){
  // Create a chart:  
  Chart2D chart = new Chart2D();
  // Create an Trace: 
  ITrace2D trace = new Trace2DSimple(); 
  // Add the trace to the chart: 
  chart.addTrace(trace); 
  // Create the Points and add them to the trace
  for(double i=0;i<=10;i+=0.001){
    trace.addPoint(Math.cos(3*i),Math.sin(4*i));
  }  
  // Create a frame.
  JFrame frame = new JFrame("MinimalStaticChart");
  // add the chart to the frame: 
  frame.getContentPane().add(chart);
  // make a few adjustments for the Frame
  frame.setSize(400,300);
  frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
  frame.setVisible(true);
  }
}

which looks like this:

JChart2DStaticXYChart.PNG

JFreeChart Library

  • License Model: Open Source (LGPL)
  • Webpage and download: [2]

JFreeChart is a free 100% Java chart library that makes it easy for developers to display professional quality charts in their applications. JFreeChart's extensive feature set includes:

  • a consistent and well-documented API, supporting a wide range of chart types;
  • a flexible design that is easy to extend, and targets both server-side and client-side applications;
  • support for many output types, including Swing components, image files (including PNG and JPEG), and vector graphics file formats (including PDF, EPS and SVG);
  • JFreeChart is "open source" or, more specifically, free software. It is distributed under the terms of the GNU Lesser General Public Licence (LGPL), which permits use in proprietary applications.

Code Examples

The follwing code snipped creates a static XY Diagramm

import java.awt.Color;
import java.awt.Dimension;
import javax.swing.JPanel;
import org.jfree.chart.ChartFactory;
import org.jfree.chart.ChartPanel;
import org.jfree.chart.JFreeChart;
import org.jfree.chart.plot.PlotOrientation;
import org.jfree.data.xy.XYDataset;
import org.jfree.data.xy.XYSeries;
import org.jfree.data.xy.XYSeriesCollection;
import org.jfree.ui.ApplicationFrame;
import org.jfree.ui.RefineryUtilities;
public class LineChartTest extends ApplicationFrame{	
  public LineChartTest(String title){
    super(title);
    XYDataset data = createDataset();
    JFreeChart chart = createChart(data);
    ChartPanel chartPanel = new ChartPanel(chart);
    chartPanel.setPreferredSize(new Dimension(500,270));
    setContentPane(chartPanel);
  }
  //Create Data	
  private static XYDataset createDataset(){
    //Create data series and add all the points
    XYSeries data1 = new XYSeries("Sin(t)");
    XYSeries data2 = new XYSeries("Cos(t)");
    for (int i=0;i<100;i++) {
      data1.add(i/10.0,Math.sin(i/10.0));
      data2.add(i/10.0,Math.cos(i/10.0));
    }	
    //Create a collection for the series and add them to the collection	  
    XYSeriesCollection dataset = new XYSeriesCollection();
    dataset.addSeries(data1);
    dataset.addSeries(data2);
    return dataset;
  }
  //Create a Chart with the XYDataset "data" and a few ettings
  private static JFreeChart createChart(XYDataset data){
    //Create a chart with the title "Sin/Cos", the xAxisLable "t", the yAxisLable "Value"
    JFreeChart chart = ChartFactory.createXYLineChart("Sin/Cos", "t", "Value", data, PlotOrientation.VERTICAL, true, false, false);
    chart.setBackgroundPaint(Color.white);
    chart.getPlot().setBackgroundPaint(Color.gray);
    return chart;
  }
  public static void main(String[] args) {
    LineChartTest demo = new LineChartTest("LineChartTest");
    demo.pack();
    RefineryUtilities.centerFrameOnScreen(demo);
    demo.setVisible(true);
  }
}

which looks like this:

JFreeChartLineChart.PNG

PTPlot Library

Ptplot 5.7 is a 2D data plotter and histogram tool implemented in Java. Ptplot can be used as a standalone applet or application, or it can be embedded in your own applet or application. Ptplot is a part of Ptolemy II, but Ptplot is also available as a separate download.


Code Examples

The follwing code snipped creates a non-static XY Diagramm

import java.awt.event.WindowAdapter;
import java.awt.event.WindowEvent;
import javax.swing.JFrame;
import ptolemy.plot.PlotLive;
public class LivePlotTest extends PlotLive{
  public LivePlotTest() {
    //Set the range of the axes
    setYRange(-1, 1);
    setXRange(-1, 1);
    //Set the amount of points on the screen
    setPointsPersistence(500);
    //Set the shape of the points, other possibilities are "points" or "dots"
    setMarksStyle("dots");        
  }
  double i = 0;
  public static void main(String[] args) {
    //Create a plot
    final LivePlotTest test = new LivePlotTest();
    //Enable the exit button
    JFrame frame = new JFrame("Test");
    frame.addWindowListener(new WindowAdapter() {
      public void windowClosing(WindowEvent event) {
        test.stop();
        System.exit(0);
      }
    });
    //Make it visible
    frame.add("Center", test);
    frame.setVisible(true);
    //Enable the start and the stop button
    test.setButtons(true);
    //Start the plot
    test.start();
    frame.pack();
  }
  //Create the points and add them to the plot
  public void addPoints() {
    addPoint(0, Math.sin(2*i),Math.cos(3*i), false);
    i+=0.01;
    try{
      Thread.sleep(5);		
    }catch(InterruptedException ex){
      ex.printStackTrace();
    }
  }
}

which looks like this:

PTPlotXYLiveChart.PNG

JCCKit Library

  • License Model: open source (LGPL license)
  • Webpage and download: [4]

The JCCKit is a small (< 100Kb) library and a very flexible framework for creating scientific charts and plots. JCCKit is written for the JDK™ 1.1.8 platform (except of a Graphics2D renderer). Thus, it is suitable for scientific Applets and for PDA's running a PersonalJava™ implementation. The main purpose is to provide a flexible kit for writing applets and application with the need for visualizing scientific data. If you are looking for a lean scientific chart and plot library without all the unwanted bells and whistles of the heavy competitors try JCCKit. The key features of JCCKit are:

  • small (< 100Kb jar file)
  • highly configurable due to a sophisticated configuration concept (this makes JCCKit difficult to understand because you have to know how all the parameters are called, and there are a lot of parameters)
  • automatic updating if data changes
  • automatic rescaling if canvas size changes


Code Examples

The follwing code snipped creates a static XY Diagramm

import java.applet.Applet;
import java.awt.BorderLayout;
import java.awt.Button;
import java.awt.Color;
import java.awt.Panel;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.util.Properties;
import javax.swing.JFrame;
import jcckit.GraphicsPlotCanvas;
import jcckit.data.DataCurve;
import jcckit.data.DataPlot;
import jcckit.data.DataPoint;
import jcckit.util.ConfigParameters;
import jcckit.util.PropertiesBasedConfigData;
public class JCCKitTest extends Applet {
  private DataPlot _dataPlot;
  public void init() {
    GraphicsPlotCanvas plotCanvas = createPlotCanvas();
    //Create a new dataPlot
    _dataPlot = new DataPlot();
    _dataPlot.addElement(new DataCurve(""));
    //Show it on the screen
    plotCanvas.connect(_dataPlot);
    setLayout(new BorderLayout());
    add(plotCanvas.getGraphicsCanvas(), BorderLayout.CENTER);
    add(createControlPanel(), BorderLayout.SOUTH);
  }
  private GraphicsPlotCanvas createPlotCanvas() {
    //Adjustments:
    Properties props = new Properties();
    ConfigParameters config = new ConfigParameters(new PropertiesBasedConfigData(props));
    props.put("plot/legendVisible", "false");
    props.put("plot/coordinateSystem/xAxis/minimum", "0");
    props.put("plot/coordinateSystem/xAxis/maximum", "10");
    props.put("plot/coordinateSystem/xAxis/axisLabel", "");
    props.put("plot/coordinateSystem/xAxis/ticLabelFormat/map", "%d");    
    props.put("plot/coordinateSystem/yAxis/axisLabel", "growth rate");
    props.put("plot/coordinateSystem/yAxis/maximum", "1");
    props.put("plot/coordinateSystem/yAxis/minimum", "-1");
    props.put("plot/coordinateSystem/yAxis/ticLabelFormat", "%d");    
    props.put("plot/curveFactory/definitions", "curve, curve2");
    props.put("plot/curveFactory/curve/withLine", "true");
    props.put("plot/curveFactory/curve/symbolFactory/className", "jcckit.plot.CircleSymbolFactory");
    props.put("plot/curveFactory/curve/symbolFactory/attributes/className", "jcckit.graphic.ShapeAttributes");
    props.put("plot/curveFactory/curve/symbolFactory/attributes/fillColor", "0xfe8000");
    props.put("plot/curveFactory/curve/symbolFactory/attributes/lineColor", "0");
    props.put("plot/curveFactory/curve/symbolFactory/size", "0.01");
    props.put("plot/initialHintForNextCurve/className", "jcckit.plot.PositionHint");
    props.put("plot/initialHintForNextCurve/position", "0 0.1");    
    return new GraphicsPlotCanvas(config);
  }  
  private Panel createControlPanel() {
    Panel controlPanel = new Panel();
    Button startButton = new Button("start");
    //Starts to plot the chart
    startButton.addActionListener(new ActionListener() {
              public void actionPerformed(ActionEvent e) {
                new Thread() {
                        public void run() {
                          animate();
                        }
                      }.start();
              }
            });
    controlPanel.add(startButton);    
    return controlPanel;
  }  
  private void animate() {
    //Create Points and add them to the dataPlot
    DataCurve curve = new DataCurve("");
    DataCurve curve2 = new DataCurve("");    
    for (int i = 0; i <= 100; i++) {
      //x=i/10.0 , y=sin(i/10.0)
      curve.addElement(new DataPoint(i/10.0, Math.sin(i/10.0)));
      //x=i/10.0 , y=cos(i/10.0)
      curve2.addElement(new DataPoint(i/10.0, Math.cos(i/10.0)));
    }
    _dataPlot.addElement(curve);
    _dataPlot.addElement(curve2);
  }  
  public static void main(String[] args) {
    JFrame frame = new JFrame("Animated Chart");
    frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
    Applet applet = new JCCKitTest();
    applet.init();
    applet.setBackground(Color.white);
    frame.add(applet);
    frame.setSize(600, 500);
    frame.setVisible(true);
  }
}

which looks like this:

JCCKitXYChart.PNG