Example usage for org.jfree.data.xy DefaultXYDataset DefaultXYDataset

List of usage examples for org.jfree.data.xy DefaultXYDataset DefaultXYDataset

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Introduction

In this page you can find the example usage for org.jfree.data.xy DefaultXYDataset DefaultXYDataset.

Prototype

public DefaultXYDataset()

Source Link

Document

Creates a new DefaultXYDataset instance, initially containing no data.

Usage

From source file:org.jfree.data.xy.junit.DefaultXYDatasetTest.java

/**
 * Some tests for the addSeries() method.
 *//* ww w  .jav a  2s. c om*/
public void testAddSeries() {
    DefaultXYDataset d = new DefaultXYDataset();
    d.addSeries("S1", new double[][] { { 1.0 }, { 2.0 } });
    assertEquals(1, d.getSeriesCount());
    assertEquals("S1", d.getSeriesKey(0));

    // check that adding a series will overwrite the old series
    d.addSeries("S1", new double[][] { { 11.0 }, { 12.0 } });
    assertEquals(1, d.getSeriesCount());
    assertEquals(12.0, d.getYValue(0, 0), EPSILON);

    // check null key
    boolean pass = false;
    try {
        d.addSeries(null, new double[][] { { 1.0 }, { 2.0 } });
    } catch (IllegalArgumentException e) {
        pass = true;
    }
    assertTrue(pass);
}

From source file:SciTK.PlotXY.java

/** 
* Constructor for a multiple sets of data 
*
* @param data_in the data to plot. m x n x 2 size, eg data_in[0][i] = [x_i,y_i]; m data sets of n points.
* @param name the data set's names in a String array of length m
* @param x_label the label for the abscissa
* @param y_label the label for the ordinate
* @param window_title a label for the window title
*//*from ww w.  j a va 2s .c om*/
public PlotXY(double[][][] data_in, String name[], String x_label, String y_label, String window_title) {
    data = new DefaultXYDataset();
    // iterate over input data sets:
    for (int i = 0; i < data_in.length; i++) {
        data.addSeries(name[i], data_in[i]);
    }

    // common routine:
    init(x_label, y_label, window_title);
}

From source file:org.matsim.pt.counts.PtCountsSimRealPerHourGraph.java

/**
 * @param hour/* w  w w  .ja v  a  2s. c  o  m*/
 *            A value in 1..24, 1 for 0 a.m. to 1 a.m., 2 for 1 a.m. to 2
 *            a.m. ...
 */
@Override
public JFreeChart createChart(final int hour) {
    this.hour = hour;

    XYSeriesCollection dataset0 = new XYSeriesCollection();
    XYSeries series = new XYSeries("MATSim volumes");
    // easier to use another dataset
    XYSeriesCollection dataset_outliers = new XYSeriesCollection();
    XYSeries series_outliers = new XYSeries("MATSim outliers");

    CustomXYURLGenerator url_gen = new CustomXYURLGenerator();
    CustomXYToolTipGenerator tt_gen = new CustomXYToolTipGenerator();

    final ArrayList<String> urls = new ArrayList<String>();
    final ArrayList<String> tooltips = new ArrayList<String>();
    List<Comp> comps = new Vector<Comp>();

    Iterator<CountSimComparison> l_it = this.ccl_.iterator();
    // int elementCounter=0;
    while (l_it.hasNext()) {
        CountSimComparison cc = l_it.next();

        /*
         * values with simVal==0.0 or countVal==0.0 are drawn on the x==1
         * or/and y==1-line Such values are the result of a poor simulation
         * run, but they can also represent a valid result (closing summer
         * road during winter time)
         */
        if (cc.getHour() == hour) {
            // elementCounter++;
            double realVal = 1.0;
            double simVal = 1.0;
            if (cc.getCountValue() > 0.0 && cc.getSimulationValue() > 0.0) {
                realVal = cc.getCountValue();
                simVal = cc.getSimulationValue();
                series.add(realVal, simVal);
                comps.add(new Comp(realVal, "link" + cc.getId() + ".html",
                        "Link " + cc.getId() + "; " + "Count: " + realVal + ", Sim: " + simVal));
            } else {
                realVal = Math.max(1.0, cc.getCountValue());
                simVal = Math.max(1.0, cc.getSimulationValue());
                series_outliers.add(realVal, simVal);
            }

        } // if
    } // while
    dataset0.addSeries(series);
    dataset_outliers.addSeries(series_outliers);

    /*
     * first we have to sort the vector according to the rendering ordering
     * (which is the x value). REALLY??? After hours of searching no better
     * solution found! please help!
     */

    Collections.sort(comps, new MyComparator());

    for (Iterator<Comp> iter = comps.iterator(); iter.hasNext();) {
        Comp cp = iter.next();
        urls.add(cp.getURL());
        tooltips.add(cp.getTooltip());
    }

    url_gen.addURLSeries(urls);
    tt_gen.addToolTipSeries(tooltips);

    String title = "[" + this.countsType + "]\tVolumes " + (hour - 1) + ":00 - " + (hour) + ":00, Iteration: "
            + this.iteration_;
    this.setChartTitle(title);
    this.chart_ = ChartFactory.createXYLineChart(title, "Count Volumes [veh/h]", // x axis label
            "Sim Volumes [veh/h]", // y axis label
            dataset0, // data
            PlotOrientation.VERTICAL, false, // include legend
            true, // tooltips
            true // urls
    );
    XYPlot plot = this.chart_.getXYPlot();
    final LogarithmicAxis axis_x = new LogarithmicAxis("Count Volumes [veh/h]");
    final LogarithmicAxis axis_y = new LogarithmicAxis("Sim Volumes [veh/h]");
    axis_x.setAllowNegativesFlag(false);
    axis_y.setAllowNegativesFlag(false);

    // regular values
    XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer();
    renderer.setLinesVisible(false);
    renderer.setURLGenerator(url_gen);
    renderer.setSeriesPaint(0, Color.black);
    renderer.setSeriesToolTipGenerator(0, tt_gen);
    renderer.setSeriesShape(0, new Rectangle2D.Double(-1.5, -1.5, 3.0, 3.0));

    // outliers
    XYLineAndShapeRenderer renderer2 = new XYLineAndShapeRenderer();
    renderer2.setLinesVisible(false);
    renderer2.setSeriesPaint(0, Color.red);
    renderer2.setSeriesShape(0, new Ellipse2D.Double(-3.0, -3.0, 6.0, 6.0));

    // error band
    DefaultXYDataset dataset1 = new DefaultXYDataset();
    dataset1.addSeries("f1x", new double[][] { { 1.0, 10000.0 }, { 1.0, 10000.0 } });
    dataset1.addSeries("f2x", new double[][] { { 1.0, 10000.0 }, { 2.0, 20000.0 } });
    dataset1.addSeries("f05x", new double[][] { { 2.0, 10000.0 }, { 1.0, 5000.0 } });

    XYLineAndShapeRenderer renderer3 = new XYLineAndShapeRenderer();
    renderer3.setShapesVisible(false);
    renderer3.setSeriesPaint(0, Color.blue);
    renderer3.setSeriesPaint(1, Color.blue);
    renderer3.setSeriesPaint(2, Color.blue);
    renderer3.setBaseSeriesVisibleInLegend(false);
    renderer3.setSeriesItemLabelsVisible(0, true);
    renderer3.setSeriesItemLabelsVisible(1, false);
    renderer3.setSeriesItemLabelsVisible(2, false);

    XYTextAnnotation annotation0 = new XYTextAnnotation("2.0 count", 12000.0, 15500.0);
    annotation0.setFont(new Font("SansSerif", Font.BOLD, 11));
    plot.addAnnotation(annotation0);
    XYTextAnnotation annotation1 = new XYTextAnnotation("count", 13000.0, 10000.0);
    annotation1.setFont(new Font("SansSerif", Font.BOLD, 11));
    plot.addAnnotation(annotation1);
    XYTextAnnotation annotation2 = new XYTextAnnotation("0.5 count", 11000.0, 3500.0);
    annotation2.setFont(new Font("SansSerif", Font.BOLD, 11));
    plot.addAnnotation(annotation2);

    plot.setDomainAxis(axis_x);
    plot.setRangeAxis(axis_y);
    plot.setRenderer(0, renderer);

    plot.setRenderer(1, renderer2);
    plot.setDataset(1, dataset_outliers);

    plot.setRenderer(2, renderer3);
    plot.setDataset(2, dataset1);

    plot.getRangeAxis().setRange(1.0, 19000.0);
    plot.getDomainAxis().setRange(1.0, 19000.0);

    return this.chart_;
}

From source file:SciTK.PlotXYLine.java

/** Constructor for multiple sets of data
 * @param data_in the data to plot. m x n x 2 size, eg data_in[0][i] = [x_i,y_i]; m data sets of n points.
 * @param name the data set's names in a String array
 * @param x_label the label for the abscissa
 * @param y_label the label for the ordinate
 * @param window_title a label for the window title
*//*from  w w  w  . j av  a 2  s  .  co m*/
public PlotXYLine(double[][][] data_in, String name[], String x_label, String y_label, String window_title) {
    // set up the data set:
    data = new DefaultXYDataset();
    // iterate over input data sets:
    for (int i = 0; i < data_in.length; i++) {
        data.addSeries(name[i], data_in[i]);
    }

    init(x_label, y_label, window_title);
}

From source file:org.matsim.pt.counts.obsolete.PtCountsSimRealPerHourGraph.java

/**
 * @param hour//from w  ww.j  a v a 2  s  . co  m
 *            A value in 1..24, 1 for 0 a.m. to 1 a.m., 2 for 1 a.m. to 2
 *            a.m. ...
 */
@Override
@Deprecated // use standard counts package
public JFreeChart createChart(final int hour) {
    this.hour = hour;

    XYSeriesCollection dataset0 = new XYSeriesCollection();
    XYSeries series = new XYSeries("MATSim volumes");
    // easier to use another dataset
    XYSeriesCollection dataset_outliers = new XYSeriesCollection();
    XYSeries series_outliers = new XYSeries("MATSim outliers");

    CustomXYURLGenerator url_gen = new CustomXYURLGenerator();
    CustomXYToolTipGenerator tt_gen = new CustomXYToolTipGenerator();

    final ArrayList<String> urls = new ArrayList<String>();
    final ArrayList<String> tooltips = new ArrayList<String>();
    List<Comp> comps = new Vector<Comp>();

    Iterator<CountSimComparison> l_it = this.ccl_.iterator();
    // int elementCounter=0;
    while (l_it.hasNext()) {
        CountSimComparison cc = l_it.next();

        /*
         * values with simVal==0.0 or countVal==0.0 are drawn on the x==1
         * or/and y==1-line Such values are the result of a poor simulation
         * run, but they can also represent a valid result (closing summer
         * road during winter time)
         */
        if (cc.getHour() == hour) {
            // elementCounter++;
            double realVal = 1.0;
            double simVal = 1.0;
            if (cc.getCountValue() > 0.0 && cc.getSimulationValue() > 0.0) {
                realVal = cc.getCountValue();
                simVal = cc.getSimulationValue();
                series.add(realVal, simVal);
                comps.add(new Comp(realVal, "link" + cc.getId() + ".html",
                        "Link " + cc.getId() + "; " + "Count: " + realVal + ", Sim: " + simVal));
            } else {
                realVal = Math.max(1.0, cc.getCountValue());
                simVal = Math.max(1.0, cc.getSimulationValue());
                series_outliers.add(realVal, simVal);
            }

        } // if
    } // while
    dataset0.addSeries(series);
    dataset_outliers.addSeries(series_outliers);

    /*
     * first we have to sort the vector according to the rendering ordering
     * (which is the x value). REALLY??? After hours of searching no better
     * solution found! please help!
     */

    Collections.sort(comps, new MyComparator());

    for (Iterator<Comp> iter = comps.iterator(); iter.hasNext();) {
        Comp cp = iter.next();
        urls.add(cp.getURL());
        tooltips.add(cp.getTooltip());
    }

    url_gen.addURLSeries(urls);
    tt_gen.addToolTipSeries(tooltips);

    String title = "[" + this.countsType + "]\tVolumes " + (hour - 1) + ":00 - " + (hour) + ":00, Iteration: "
            + this.iteration_;
    this.setChartTitle(title);
    this.chart_ = ChartFactory.createXYLineChart(title, "Count Volumes [veh/h]", // x axis label
            "Sim Volumes [veh/h]", // y axis label
            dataset0, // data
            PlotOrientation.VERTICAL, false, // include legend
            true, // tooltips
            true // urls
    );
    XYPlot plot = this.chart_.getXYPlot();
    final LogarithmicAxis axis_x = new LogarithmicAxis("Count Volumes [veh/h]");
    final LogarithmicAxis axis_y = new LogarithmicAxis("Sim Volumes [veh/h]");
    axis_x.setAllowNegativesFlag(false);
    axis_y.setAllowNegativesFlag(false);

    // regular values
    XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer();
    renderer.setLinesVisible(false);
    renderer.setURLGenerator(url_gen);
    renderer.setSeriesPaint(0, Color.black);
    renderer.setSeriesToolTipGenerator(0, tt_gen);
    renderer.setSeriesShape(0, new Rectangle2D.Double(-1.5, -1.5, 3.0, 3.0));

    // outliers
    XYLineAndShapeRenderer renderer2 = new XYLineAndShapeRenderer();
    renderer2.setLinesVisible(false);
    renderer2.setSeriesPaint(0, Color.red);
    renderer2.setSeriesShape(0, new Ellipse2D.Double(-3.0, -3.0, 6.0, 6.0));

    // error band
    DefaultXYDataset dataset1 = new DefaultXYDataset();
    dataset1.addSeries("f1x", new double[][] { { 1.0, 10000.0 }, { 1.0, 10000.0 } });
    dataset1.addSeries("f2x", new double[][] { { 1.0, 10000.0 }, { 2.0, 20000.0 } });
    dataset1.addSeries("f05x", new double[][] { { 2.0, 10000.0 }, { 1.0, 5000.0 } });

    XYLineAndShapeRenderer renderer3 = new XYLineAndShapeRenderer();
    renderer3.setShapesVisible(false);
    renderer3.setSeriesPaint(0, Color.blue);
    renderer3.setSeriesPaint(1, Color.blue);
    renderer3.setSeriesPaint(2, Color.blue);
    renderer3.setBaseSeriesVisibleInLegend(false);
    renderer3.setSeriesItemLabelsVisible(0, true);
    renderer3.setSeriesItemLabelsVisible(1, false);
    renderer3.setSeriesItemLabelsVisible(2, false);

    XYTextAnnotation annotation0 = new XYTextAnnotation("2.0 count", 12000.0, 15500.0);
    annotation0.setFont(new Font("SansSerif", Font.BOLD, 11));
    plot.addAnnotation(annotation0);
    XYTextAnnotation annotation1 = new XYTextAnnotation("count", 13000.0, 10000.0);
    annotation1.setFont(new Font("SansSerif", Font.BOLD, 11));
    plot.addAnnotation(annotation1);
    XYTextAnnotation annotation2 = new XYTextAnnotation("0.5 count", 11000.0, 3500.0);
    annotation2.setFont(new Font("SansSerif", Font.BOLD, 11));
    plot.addAnnotation(annotation2);

    plot.setDomainAxis(axis_x);
    plot.setRangeAxis(axis_y);
    plot.setRenderer(0, renderer);

    plot.setRenderer(1, renderer2);
    plot.setDataset(1, dataset_outliers);

    plot.setRenderer(2, renderer3);
    plot.setDataset(2, dataset1);

    plot.getRangeAxis().setRange(1.0, 19000.0);
    plot.getDomainAxis().setRange(1.0, 19000.0);

    return this.chart_;
}

From source file:com.bt.aloha.sipstone.GenGraph.java

private XYDataset createDataset_TotalCallCreated_AvgResponseTime() {
    DefaultXYDataset dataSet = new DefaultXYDataset();
    final String ART = "AvgRT";
    List<Double> calls = data.get("TotalCallCreated");
    List<Double> respTime = data.get("ResponseTime1(C)");
    double[] callsArray = new double[calls.size()];
    double[] respTimeArray = new double[calls.size()];
    for (int i = 0; i < calls.size(); i++) {
        callsArray[i] = calls.get(i).doubleValue();
        respTimeArray[i] = respTime.get(i).doubleValue();
    }/*from w  w  w.jav a  2 s . c o  m*/
    dataSet.addSeries(ART, new double[][] { callsArray, respTimeArray });
    double[] limitArray = new double[2];
    limitArray[0] = 200;
    limitArray[1] = 200;
    double[] callsLimitArray = new double[2];
    callsLimitArray[0] = callsArray[0];
    callsLimitArray[1] = callsArray[callsArray.length - 1];
    dataSet.addSeries("ARTLimit", new double[][] { callsLimitArray, limitArray });
    return dataSet;
}

From source file:org.jax.maanova.fit.gui.ResidualPlotPanel.java

private void updateDataPoints() {
    this.cachedXYData = null;
    XYProbeData[] xyData = this.getXYData();

    DefaultXYDataset xyDataSet = new DefaultXYDataset();
    for (int arrayIndex = 0; arrayIndex < xyData.length; arrayIndex++) {
        XYProbeData currData = xyData[arrayIndex];
        xyDataSet.addSeries(arrayIndex, new double[][] { currData.getXData(), currData.getYData() });
    }//from   w  ww . jav  a2  s .  c o  m

    JFreeChart scatterPlot = ChartFactory.createScatterPlot(this.chartConfigurationDialog.getChartTitle(),
            this.chartConfigurationDialog.getXAxisLabel(), this.chartConfigurationDialog.getYAxisLabel(),
            xyDataSet, PlotOrientation.VERTICAL, false, false, false);

    XYPlot xyPlot = (XYPlot) scatterPlot.getPlot();
    xyPlot.setRenderer(PlotUtil.createMonochromeScatterPlotRenderer());
    if (this.viewArea != null) {
        PlotUtil.rescaleXYPlot(this.viewArea, xyPlot);
    }

    this.saveGraphImageAction.setChart(scatterPlot);
    this.chartPanel.setChart(scatterPlot);
}

From source file:SciTK.PlotXYStep.java

/** Constructor for multipe sets of data 
 * @param data_in the data to plot. m x n x 2 size, eg data_in[0][i] = [x_i,y_i]; m data sets of n points.
 * @param name the data set's names in a String array
 * @param x_label the label for the abscissa
 * @param y_label the label for the ordinate
 * @param window_title a label for the window title
*//* w w  w.  java2 s.c o  m*/
public PlotXYStep(double[][][] data_in, String name[], String x_label, String y_label, String window_title) {
    data = new DefaultXYDataset();
    // iterate over input data sets:
    for (int i = 0; i < data_in.length; i++) {
        data.addSeries(name[i], data_in[i]);
    }

    // Step Chart requires some hand-holding for the horizontal (domain) axis
    double x_min = 0;
    double x_max = 0;
    for (int i = 0; i < data_in.length; i++) {
        for (int j = 0; j < data_in[i].length; j++) {
            if (data_in[i][j][0] < x_min)
                x_min = data_in[i][j][0];
            else if (data_in[i][j][0] > x_max)
                x_max = data_in[i][j][0];
        }
    }

    // call common init routine:
    init(x_label, y_label, window_title, x_min, x_max);
}

From source file:edu.cmu.sv.modelinference.eventtool.EventVisualizer.java

private void visualizeClasses(ClassificationResult classes, Map<EventClass, Color> clusterColors) {
    DataChart clustersDataChart = new DataChart("Classification chart");
    JFreeChart clusterChart = clustersDataChart.chart("");
    XYPlot clusterPlot = clusterChart.getXYPlot();

    int dataSetIndex = 0;
    Map<Integer, EventClass> dataSetIdx2EvtClass = new HashMap<>(); //ugly
    DefaultXYDataset eventDataSet = new DefaultXYDataset();
    for (EventClass evtCl : classes.getEventClasses()) {
        double[][] clusterDataSet = new double[][] { new double[evtCl.getEvents().size()],
                new double[evtCl.getEvents().size()] };
        int i = 0;
        for (Event data : evtCl.getEvents()) {
            clusterDataSet[0][i] = 0;//from  ww  w. j  a v a2  s .  co m
            clusterDataSet[1][i] = data.getFeature().getData();
            i++;
        }
        eventDataSet.addSeries("Class " + evtCl.getClassId(), clusterDataSet);

        dataSetIdx2EvtClass.put(dataSetIndex, evtCl);
        dataSetIndex++;
    }
    clusterPlot.setDataset(eventDataSet);

    for (Entry<Integer, EventClass> ent : dataSetIdx2EvtClass.entrySet()) {
        int idx = ent.getKey();
        Color clr = clusterColors.get(ent.getValue());
        logger.info("Setting color " + clr + " for event class " + ent.getValue().getClassId() + " with index "
                + idx);
        clusterPlot.getRendererForDataset(clusterPlot.getDataset(0)).setSeriesPaint(idx, clr);
    }

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

From source file:net.bioclipse.chart.ChartUtils.java

/**
 * Plot time series//from   w w  w  .  ja  v  a  2 s. c o m
 * 
 * @param dataValues
 * @param timeValues
 * @param xLabel X axis label
 * @param yLabel Y axis label
 * @param title Chart title
 * @param dataSource 
 * @param indices 
 */
public static void timeSeries(double[] dataValues, double[] timeValues, String xLabel, String yLabel,
        String title, int[] indices, IEditorPart dataSource) {
    setupData(dataValues, timeValues, xLabel, yLabel, title);
    DefaultXYDataset dataset = new DefaultXYDataset();
    dataset.addSeries(1, values);
    chart = ChartFactory.createTimeSeriesChart(title, xLabel, yLabel, (XYDataset) dataset, false, false, false);

    ChartDescriptor descriptor = new ChartDescriptor(dataSource, indices, ChartConstants.TIME_SERIES, xLabel,
            yLabel);
    chartManager.put(chart, descriptor);

    view.display(chart);
    ChartUtils.currentPlotType = ChartConstants.TIME_SERIES;
}