Example usage for org.jfree.data.xy XYSeriesCollection addSeries

List of usage examples for org.jfree.data.xy XYSeriesCollection addSeries

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Introduction

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

Prototype

public void addSeries(XYSeries series)

Source Link

Document

Adds a series to the collection and sends a DatasetChangeEvent to all registered listeners.

Usage

From source file:eu.cassandra.training.utils.ChartUtils.java

/**
 * This function is used for the visualization of a Comparative Response Model
 * Histogram.//from   w  w w. j a  v  a2  s  .c  om
 * 
 * @param title
 *          The title of the chart.
 * @param x
 *          The unit on the X axis of the chart.
 * @param y
 *          The unit on the Y axis of the chart.
 * @param dataBefore
 *          The array of values before the response.
 * @param dataAfter
 *          The array of values after the response.
 * @return a chart panel with the graphical representation.
 */
public static ChartPanel createResponseHistogram(String title, String x, String y, double[] dataBefore,
        double[] dataAfter) {
    XYSeries series1 = new XYSeries("Basic Pricing Scheme");
    for (int i = 0; i < dataBefore.length; i++) {
        series1.add(i, dataBefore[i]);
    }

    XYSeries series2 = new XYSeries("New Pricing Scheme");
    for (int i = 0; i < dataAfter.length; i++) {
        series2.add(i, dataAfter[i]);
    }

    XYSeriesCollection dataset = new XYSeriesCollection();
    dataset.addSeries(series1);
    dataset.addSeries(series2);

    PlotOrientation orientation = PlotOrientation.VERTICAL;
    boolean show = true;
    boolean toolTips = false;
    boolean urls = false;

    JFreeChart chart = ChartFactory.createXYLineChart(title, x, y, dataset, orientation, show, toolTips, urls);
    XYPlot xyplot = (XYPlot) chart.getPlot();
    xyplot.setDomainPannable(true);
    xyplot.setRangePannable(true);
    xyplot.setForegroundAlpha(0.85F);
    NumberAxis domainAxis = (NumberAxis) xyplot.getDomainAxis();

    // domainAxis.setRange(0.0, 1440.0);
    domainAxis.setTickUnit(new NumberTickUnit(10));
    NumberAxis numberaxis = (NumberAxis) xyplot.getRangeAxis();
    numberaxis.setTickUnit(new NumberTickUnit(0.1));

    return new ChartPanel(chart);
}

From source file:eu.cassandra.training.utils.ChartUtils.java

/**
 * This function is used for the visualization of two Area Diagrams.
 * // w w w  .  j  a  v  a 2 s  . c  o  m
 * @param title
 *          The title of the chart.
 * @param x
 *          The unit on the X axis of the chart.
 * @param y
 *          The unit on the Y axis of the chart.
 * @param doubles
 *          The array of values of the first array.
 * 
 * @return a chart panel with the graphical representation.
 */
public static ChartPanel createExpectedPowerChart(String title, String x, String y, double[] data) {
    JFreeChart chart = null;

    XYSeries series1 = new XYSeries("Expected Power");
    for (int i = 0; i < data.length; i++) {
        series1.add(i, data[i]);
    }

    XYSeriesCollection dataset = new XYSeriesCollection();
    dataset.addSeries(series1);

    PlotOrientation orientation = PlotOrientation.VERTICAL;
    boolean show = false;
    boolean toolTips = false;
    boolean urls = false;

    chart = ChartFactory.createXYLineChart(title, x, y, dataset, orientation, show, toolTips, urls);

    chart.setBackgroundPaint(Color.white);

    XYPlot plot = (XYPlot) chart.getPlot();
    plot.setBackgroundPaint(Color.lightGray);
    plot.setDomainGridlinePaint(Color.white);
    plot.setRangeGridlinePaint(Color.white);
    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));
    plot.setDomainCrosshairVisible(true);
    plot.setRangeCrosshairVisible(true);

    NumberAxis domainAxis = (NumberAxis) plot.getDomainAxis();
    domainAxis.setVerticalTickLabels(true);
    domainAxis.setRange(0.0, 1440.0);
    domainAxis.setTickUnit(new NumberTickUnit(100));

    return new ChartPanel(chart);
}

From source file:eu.cassandra.training.utils.ChartUtils.java

/**
 * This function is used for the visualization of a Gaussian Mixture
 * Distribution./*w  ww . ja v  a  2 s.  c  o  m*/
 * 
 * @param title
 *          The title of the chart.
 * @param x
 *          The unit on the X axis of the chart.
 * @param y
 *          The unit on the Y axis of the chart.
 * @param data
 *          The array of values.
 * @return a chart panel with the graphical representation.
 */
public static ChartPanel createMixtureDistribution(String title, String x, String y, double[] data) {
    XYSeries series1 = new XYSeries("First");

    for (int i = 0; i < data.length; i++) {
        series1.add(i, data[i]);
    }

    final XYSeriesCollection dataset = new XYSeriesCollection();
    dataset.addSeries(series1);

    PlotOrientation orientation = PlotOrientation.VERTICAL;
    boolean show = false;
    boolean toolTips = false;
    boolean urls = false;

    JFreeChart chart = ChartFactory.createXYLineChart(title, x, y, dataset, orientation, show, toolTips, urls);

    XYPlot xyplot = (XYPlot) chart.getPlot();
    xyplot.setDomainPannable(true);
    xyplot.setRangePannable(true);
    xyplot.setForegroundAlpha(0.85F);
    NumberAxis domainAxis = (NumberAxis) xyplot.getDomainAxis();
    if (data.length != 1440)
        domainAxis.setTickUnit(new NumberTickUnit(data.length / 10));
    else
        domainAxis.setTickUnit(new NumberTickUnit(100));
    NumberAxis numberaxis = (NumberAxis) xyplot.getRangeAxis();
    numberaxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits());

    return new ChartPanel(chart);

}

From source file:eu.cassandra.training.utils.ChartUtils.java

/**
 * This function is used for parsing and presenting the basic and the new
 * pricing schema.//w w w . ja  va  2  s  .  c  om
 * 
 * @param basic
 *          The basic pricing schema
 * @param after
 *          The new pricing schema
 * 
 * @return a chart panel with the
 *         graphical representation.
 */
public static ChartPanel parsePricingScheme(String basic, String after) {

    double[] data = Utils.parseScheme(basic);

    double[] data2 = Utils.parseScheme(after);

    XYSeries series1 = new XYSeries("Basic Pricing Scheme");
    for (int i = 0; i < data.length; i++) {
        series1.add(i, data[i]);
    }

    XYSeries series2 = new XYSeries("New Pricing Scheme");
    for (int i = 0; i < data2.length; i++) {
        series2.add(i, data2[i]);
    }

    XYSeriesCollection dataset = new XYSeriesCollection();
    dataset.addSeries(series1);
    dataset.addSeries(series2);

    PlotOrientation orientation = PlotOrientation.VERTICAL;
    boolean show = true;
    boolean toolTips = false;
    boolean urls = false;

    JFreeChart chart = ChartFactory.createXYLineChart("Pricing Schemes", "Minute of Day", "Euros/kWh", dataset,
            orientation, show, toolTips, urls);

    XYPlot xyplot = (XYPlot) chart.getPlot();
    xyplot.setDomainPannable(true);
    xyplot.setRangePannable(true);
    xyplot.setForegroundAlpha(0.85F);
    NumberAxis domainAxis = (NumberAxis) xyplot.getDomainAxis();

    domainAxis.setTickUnit(new NumberTickUnit(100));
    NumberAxis numberaxis = (NumberAxis) xyplot.getRangeAxis();
    numberaxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits());

    return new ChartPanel(chart);
}

From source file:stratego.neural.net.SimulatedAnnealing.java

private static void plotDataSet(List<NamedDataSet> ArraySetList, String name, String xAxis, String yAxis,
        boolean legend) throws IOException {

    String plot_title = name;/*from   ww w.j av  a2 s  .  c om*/
    XYSeriesCollection plotData = new XYSeriesCollection();

    for (NamedDataSet ns : ArraySetList) {
        XYSeries series = new XYSeries(ns.getName());
        double[] data = ns.getArray();
        for (int i = 0; i < data.length; i++) {
            series.add((double) i, data[i]);
        }

        plotData.addSeries(series);
    }

    String title = plot_title;
    String xAxisLabel = xAxis;
    String yAxisLabel = yAxis;
    PlotOrientation orientation = PlotOrientation.VERTICAL;
    //boolean legend = true; // might wanna set this to true at some point, but research the library
    boolean tooltips = false;
    boolean urls = false;
    JFreeChart chart = ChartFactory.createScatterPlot(title, xAxisLabel, yAxisLabel, plotData, orientation,
            legend, tooltips, urls);

    JPanel panel = new ChartPanel(chart);

    JFrame f = new JFrame();
    f.add(panel);
    f.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
    f.pack();
    f.setTitle(plot_title);

    f.setVisible(true);

    // ChartUtilities.saveChartAsJPEG(new File("src/Graphs/test_graph_1.JPEG"),chart,1280,1024);

}

From source file:org.gephi.ui.utils.ChartsUtils.java

/**
 * Build new scatter plot from numbers array using a default title and xLabel.
 * String dataName will be used for yLabel.
 * Appearance can be changed later with the other methods of ChartsUtils.
 * @param numbers Numbers for the scatter plot
 * @param dataName Name of the numbers data
 * @param useLines Indicates if lines have to be drawn instead of shapes
 * @param useLinearRegression Indicates if the scatter plot has to have linear regreesion line drawn
 * @return Scatter plot for the data and appearance options
 *///from  www  .j av  a2  s .c  o m
public static JFreeChart buildScatterPlot(final Number[] numbers, final String dataName, final boolean useLines,
        final boolean useLinearRegression) {
    if (numbers == null || numbers.length == 0) {
        return null;
    }
    XYSeriesCollection dataset = new XYSeriesCollection();

    XYSeries series = new XYSeries(dataName);
    for (int i = 0; i < numbers.length; i++) {
        series.add(i, numbers[i]);
    }
    dataset.addSeries(series);
    JFreeChart scatterPlot = buildScatterPlot(dataset, getMessage("ChartsUtils.report.scatter-plot.title"),
            getMessage("ChartsUtils.report.scatter-plot.xLabel"), dataName, useLines, useLinearRegression);

    return scatterPlot;
}

From source file:osh.comdriver.simulation.cruisecontrol.ScheduleDrawer.java

/**
 * Creates a chart.//from  w  ww  .j  a va 2s  .  c  o  m
 *
 * @param dataset1  a dataset.
 * @return A chart.
 */
private static JFreeChart createChart(XYDataset dataset1, //power
        XYDataset dataset2, //costs
        XYDataset dataset3, long time) {

    JFreeChart chart = ChartFactory.createTimeSeriesChart("schedule", // title
            "time", // x-axis label
            "power", // y-axis label
            dataset1, // data
            true, // create legend?
            true, // generate tooltips?
            false // generate URLs?
    );

    chart.setBackgroundPaint(Color.white);

    XYPlot plot = (XYPlot) chart.getPlot();

    NumberAxis axis1 = new NumberAxis("power");
    NumberAxis axis2 = new NumberAxis("costs");
    axis1.setAutoRangeIncludesZero(true);
    axis1.setUpperBound(5000);
    axis1.setLowerBound(-5000);
    axis2.setAutoRangeIncludesZero(true);
    axis2.setUpperBound(50);
    axis2.setLowerBound(0);
    plot.setRangeAxis(0, axis1);
    plot.setRangeAxis(1, axis2);

    plot.setDataset(1, dataset2);
    plot.mapDatasetToRangeAxis(1, 1);

    plot.setDataset(2, dataset3);
    plot.mapDatasetToRangeAxis(2, 0);

    plot.setBackgroundPaint(Color.lightGray);
    plot.setDomainGridlinePaint(Color.white);
    plot.setRangeGridlinePaint(Color.white);
    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));
    plot.setDomainCrosshairVisible(true);
    plot.setRangeCrosshairVisible(true);
    //TODO: SHADOWS OFF

    final StandardXYItemRenderer r1 = new StandardXYItemRenderer();
    final StandardXYItemRenderer r2 = new StandardXYItemRenderer();
    final StandardXYItemRenderer r3 = new StandardXYItemRenderer();
    final StandardXYItemRenderer r4 = new StandardXYItemRenderer();
    plot.setRenderer(0, r1);
    plot.setRenderer(1, r2);
    plot.setRenderer(2, r3);
    plot.setRenderer(3, r4);

    int numberOfSeries = 0;
    numberOfSeries += dataset1.getSeriesCount();
    numberOfSeries += dataset2.getSeriesCount();
    numberOfSeries += dataset3.getSeriesCount();

    Color[] color = new Color[numberOfSeries];

    for (int i = 0; i < numberOfSeries / 2; i++) {
        color[i] = Color.getHSBColor(i * 1.0f / (numberOfSeries / 2), 1.0f, 1.0f);
    }

    int i = 0;

    for (int j = 0; j < dataset1.getSeriesCount() / 2; j++) {
        float[] rgbcolor = Color.RGBtoHSB(color[i].getRed(), color[i].getGreen(), color[i].getBlue(), null);
        plot.getRendererForDataset(dataset1).setSeriesPaint(2 * j, Color.getHSBColor(rgbcolor[0], 1.0f, 1.0f));
        plot.getRendererForDataset(dataset1).setSeriesPaint(2 * j + 1,
                Color.getHSBColor(rgbcolor[0], 1.0f, 0.6f));
        i++;
    }
    for (int j = 0; j < dataset2.getSeriesCount() / 2; j++) {
        float[] rgbcolor = Color.RGBtoHSB(color[i].getRed(), color[i].getGreen(), color[i].getBlue(), null);
        plot.getRendererForDataset(dataset2).setSeriesPaint(2 * j, Color.getHSBColor(rgbcolor[0], 1.0f, 1.0f));
        plot.getRendererForDataset(dataset2).setSeriesPaint(2 * j + 1,
                Color.getHSBColor(rgbcolor[0], 1.0f, 0.6f));
        i++;
    }
    for (int j = 0; j < dataset3.getSeriesCount() / 2; j++) {
        float[] rgbcolor = Color.RGBtoHSB(color[i].getRed(), color[i].getGreen(), color[i].getBlue(), null);
        plot.getRendererForDataset(dataset3).setSeriesPaint(2 * j, Color.getHSBColor(rgbcolor[0], 1.0f, 1.0f));
        plot.getRendererForDataset(dataset3).setSeriesPaint(2 * j + 1,
                Color.getHSBColor(rgbcolor[0], 1.0f, 0.6f));
        i++;
    }

    // NOW line
    double upperBound = plot.getRangeAxis(1).getUpperBound();
    double lowerBound = plot.getRangeAxis(1).getLowerBound();

    XYSeries nowLine = new XYSeries("now");
    nowLine.add(time * 1000, lowerBound);
    nowLine.add(time * 1000, upperBound);
    XYSeriesCollection nowColl = new XYSeriesCollection(); //power axis
    nowColl.addSeries(nowLine);
    XYDataset nowSet = nowColl;

    plot.setDataset(3, nowSet);
    plot.mapDatasetToRangeAxis(3, 1);

    plot.getRendererForDataset(nowSet).setSeriesPaint(0, Color.DARK_GRAY);
    plot.getRendererForDataset(nowSet).setSeriesStroke(0, (Stroke) new BasicStroke(2.0f, BasicStroke.CAP_ROUND,
            BasicStroke.JOIN_ROUND, 1.0f, new float[] { 6.0f, 6.0f }, 0.0f));

    plot.setDomainAxis(new DateAxis());
    plot.getDomainAxis().setAutoRange(false);

    long begin = (time / 86400) * 86400 * 1000; //beginning of day
    long end = begin + 86400 * 2 * 1000;

    plot.getDomainAxis().setRange(begin, end);

    return chart;

}

From source file:flusim.XY_Plotter.java

/**
 * Creates a dataset, consisting of two series of monthly data.
 *
 * @return The dataset./*w  w w  .ja  v a  2s .  c  om*/
 */
private static XYDataset createDataset(java.util.List[] data, String[] desc) {

    //data is an arraylist of arraylists

    int count = data.length;

    XYSeriesCollection dataset = new XYSeriesCollection();

    for (int i = 0; i < count; i++) {

        XYSeries xys = new XYSeries(desc[i]);

        java.util.List Data = data[i];
        int elements = Data.size();

        for (int j = 0; j < elements; j++) {

            double[] timepoint = (double[]) Data.get(j);

            xys.add(timepoint[0], timepoint[1]);

        }
        dataset.addSeries(xys);
    }

    return dataset;

}

From source file:mt.LengthDistribution.java

public static void GetLengthDistributionArray(ArrayList<File> AllMovies, double[] calibration) {

    ArrayList<Double> maxlist = new ArrayList<Double>();
    for (int i = 0; i < AllMovies.size(); ++i) {

        double maxlength = LengthDistribution.Lengthdistro(AllMovies.get(i));

        if (maxlength != Double.NaN && maxlength > 0)
            maxlist.add(maxlength);//from ww w  . j a  va2 s  .c o  m

    }
    Collections.sort(maxlist);

    int min = 0;
    int max = (int) Math.round(maxlist.get(maxlist.size() - 1)) + 1;
    XYSeries counterseries = new XYSeries("MT length distribution");
    XYSeries Logcounterseries = new XYSeries("MT Log length distribution");
    final ArrayList<Point> points = new ArrayList<Point>();
    for (int length = 0; length < max; ++length) {

        HashMap<Integer, Integer> frameseed = new HashMap<Integer, Integer>();

        int count = 0;
        for (int i = 0; i < AllMovies.size(); ++i) {

            File file = AllMovies.get(i);

            double currentlength = LengthDistribution.Lengthdistro(file);

            ArrayList<FLSobject> currentobject = Tracking.loadMTStat(file);

            if (currentlength > length) {

                for (int index = 0; index < currentobject.size(); ++index) {
                    ArrayList<Integer> seedlist = new ArrayList<Integer>();
                    if (currentobject.get(index).length >= length) {
                        seedlist.add(currentobject.get(index).seedID);
                        if (frameseed.get(currentobject.get(index).Framenumber) != null
                                && frameseed.get(currentobject.get(index).Framenumber) != Double.NaN) {

                            int currentcount = frameseed.get(currentobject.get(index).Framenumber);
                            frameseed.put(currentobject.get(index).Framenumber, seedlist.size() + currentcount);
                        } else if (currentobject.get(index) != null)
                            frameseed.put(currentobject.get(index).Framenumber, seedlist.size());

                    }

                }

            }

        }

        // Get maxima length, count
        int maxvalue = Integer.MIN_VALUE;

        for (int key : frameseed.keySet()) {

            int Count = frameseed.get(key);

            if (Count >= maxvalue)
                maxvalue = Count;
        }

        if (maxvalue != Integer.MIN_VALUE) {
            counterseries.add(length, maxvalue);

            if (maxvalue > 0) {
                Logcounterseries.add((length), Math.log(maxvalue));
                points.add(new Point(new double[] { length, Math.log(maxvalue) }));
            }

        }
    }

    final XYSeriesCollection dataset = new XYSeriesCollection();
    final XYSeriesCollection nofitdataset = new XYSeriesCollection();
    dataset.addSeries(counterseries);
    nofitdataset.addSeries(counterseries);
    final XYSeriesCollection Logdataset = new XYSeriesCollection();
    Logdataset.addSeries(Logcounterseries);

    final JFreeChart chart = ChartFactory.createScatterPlot("MT length distribution", "Number of MT",
            "Length (micrometer)", dataset);

    final JFreeChart nofitchart = ChartFactory.createScatterPlot("MT length distribution", "Number of MT",
            "Length (micrometer)", nofitdataset);

    // Fitting line to log of the length distribution
    interpolation.Polynomial poly = new interpolation.Polynomial(1);
    try {

        poly.fitFunction(points);

    } catch (NotEnoughDataPointsException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
    DisplayPoints.display(nofitchart, new Dimension(800, 500));
    dataset.addSeries(Tracking.drawexpFunction(poly, counterseries.getMinX(), counterseries.getMaxX(), 0.5,
            "Exponential fit"));
    NumberFormat nf = NumberFormat.getInstance(Locale.ENGLISH);
    nf.setMaximumFractionDigits(3);
    TextTitle legendText = new TextTitle("Mean Length" + " : " + nf.format(-1.0 / poly.getCoefficients(1))
            + "  " + "Standard Deviation" + " : " + nf.format(poly.SSE));
    legendText.setPosition(RectangleEdge.RIGHT);

    DisplayPoints.display(chart, new Dimension(800, 500));
    chart.addSubtitle(legendText);

    final JFreeChart logchart = ChartFactory.createScatterPlot("MT Log length distribution", "Number of MT",
            "Length (micrometer)", Logdataset);
    //     DisplayPoints.display(logchart, new Dimension(800, 500));
    for (int i = 1; i >= 0; --i)
        System.out.println(poly.getCoefficients(i) + "  " + "x" + " X to the power of " + i);

    //  Logdataset.addSeries(Tracking.drawFunction(poly, counterseries.getMinX(), counterseries.getMaxX(), 0.5, "Straight line fit"));

    WriteLengthdistroFile(AllMovies, counterseries, 0);

}

From source file:mt.LengthDistribution.java

public static void GetLengthDistributionArrayatTime(ArrayList<File> AllMovies, double[] calibration,
        final int framenumber) {

    ArrayList<Double> maxlist = new ArrayList<Double>();
    for (int i = 0; i < AllMovies.size(); ++i) {

        ArrayList<Pair<Integer, Double>> lengthlist = LengthDistribution.LengthdistroatTime(AllMovies.get(i),
                framenumber);/*from   ww  w  .  j a  v a2  s  .c  o  m*/

        for (int index = 0; index < lengthlist.size(); ++index) {
            if (lengthlist.get(index).getB() != Double.NaN && lengthlist.get(index).getB() > 0)
                maxlist.add(lengthlist.get(index).getB());

        }
    }
    Collections.sort(maxlist);

    int min = 0;
    int max = 0;
    if (maxlist.size() > 0)
        max = (int) Math.round(maxlist.get(maxlist.size() - 1)) + 1;
    XYSeries counterseries = new XYSeries("MT length distribution");
    XYSeries Logcounterseries = new XYSeries("MT Log length distribution");
    final ArrayList<Point> points = new ArrayList<Point>();
    for (int length = 0; length < max; ++length) {

        HashMap<Integer, Integer> frameseed = new HashMap<Integer, Integer>();

        int count = 0;
        for (int i = 0; i < AllMovies.size(); ++i) {

            File file = AllMovies.get(i);

            ArrayList<FLSobject> currentobject = Tracking.loadMTStat(file);

            if (currentobject != null)
                for (int index = 0; index < currentobject.size(); ++index) {
                    ArrayList<Integer> seedlist = new ArrayList<Integer>();
                    if (currentobject.get(index).length >= length
                            && currentobject.get(index).Framenumber == framenumber) {
                        seedlist.add(currentobject.get(index).seedID);
                        if (frameseed.get(currentobject.get(index).Framenumber) != null
                                && frameseed.get(currentobject.get(index).Framenumber) != Double.NaN) {

                            int currentcount = frameseed.get(currentobject.get(index).Framenumber);
                            frameseed.put(currentobject.get(index).Framenumber, seedlist.size() + currentcount);
                        } else if (currentobject.get(index) != null)
                            frameseed.put(currentobject.get(index).Framenumber, seedlist.size());

                    }

                }

        }

        // Get maxima length, count
        int maxvalue = Integer.MIN_VALUE;

        for (int key : frameseed.keySet()) {

            int Count = frameseed.get(key);

            if (Count >= maxvalue)
                maxvalue = Count;
        }

        if (maxvalue != Integer.MIN_VALUE) {
            counterseries.add(length, maxvalue);

            if (maxvalue > 0) {

                System.out.println("Max " + maxvalue);
                Logcounterseries.add((length), Math.log(maxvalue));
                points.add(new Point(new double[] { length, Math.log(maxvalue) }));
            }

        }
    }

    final XYSeriesCollection dataset = new XYSeriesCollection();
    final XYSeriesCollection nofitdataset = new XYSeriesCollection();
    dataset.addSeries(counterseries);
    nofitdataset.addSeries(counterseries);
    final XYSeriesCollection Logdataset = new XYSeriesCollection();
    Logdataset.addSeries(Logcounterseries);

    final JFreeChart chart = ChartFactory.createScatterPlot("MT length distribution", "Number of MT",
            "Length (micrometer)", dataset);
    final JFreeChart nofitchart = ChartFactory.createScatterPlot("MT length distribution", "Number of MT",
            "Length (micrometer)", nofitdataset);
    // Fitting line to log of the length distribution
    interpolation.Polynomial poly = new interpolation.Polynomial(1);
    try {

        poly.fitFunction(points);

    } catch (NotEnoughDataPointsException e) {

    }
    DisplayPoints.display(nofitchart, new Dimension(800, 500));
    dataset.addSeries(Tracking.drawexpFunction(poly, counterseries.getMinX(), counterseries.getMaxX(), 0.5,
            "Exponential fit"));
    NumberFormat nf = NumberFormat.getInstance(Locale.ENGLISH);
    nf.setMaximumFractionDigits(3);
    TextTitle legendText = new TextTitle("Mean Length" + " : " + nf.format(-1.0 / poly.getCoefficients(1))
            + "  " + "Standard Deviation" + " : " + nf.format(poly.SSE));
    legendText.setPosition(RectangleEdge.RIGHT);

    DisplayPoints.display(chart, new Dimension(800, 500));
    chart.addSubtitle(legendText);

    System.out.println("Series count" + dataset.getSeriesCount());
    final JFreeChart logchart = ChartFactory.createScatterPlot("MT Log length distribution",
            "Length (micrometer)", "Number of MT", Logdataset);
    //     DisplayPoints.display(logchart, new Dimension(800, 500));
    for (int i = 1; i >= 0; --i)
        System.out.println(poly.getCoefficients(i) + "  " + "x" + " X to the power of " + i);

    //  Logdataset.addSeries(Tracking.drawFunction(poly, counterseries.getMinX(), counterseries.getMaxX(), 0.5, "Straight line fit"));
    WriteLengthdistroFile(AllMovies, counterseries, framenumber);
}