Example usage for org.jfree.chart.plot XYPlot setDataset

List of usage examples for org.jfree.chart.plot XYPlot setDataset

Introduction

In this page you can find the example usage for org.jfree.chart.plot XYPlot setDataset.

Prototype

public void setDataset(int index, XYDataset dataset) 

Source Link

Document

Sets a dataset for the plot and sends a change event to all registered listeners.

Usage

From source file:org.ala.spatial.web.services.GDMWSController.java

public static void generateCharts123(String outputdir) {
    try {//from ww  w . j  a va 2  s  .  c o m
        IniReader ir = new IniReader(outputdir + "/gdm_params.txt");
        double intercept = ir.getDoubleValue("GDMODEL", "Intercept");

        // 1. read the ObservedVsPredicted.csv file
        System.out.println("Loading csv data");
        CSVReader csv = new CSVReader(new FileReader(outputdir + "ObservedVsPredicted.csv"));
        List<String[]> rawdata = csv.readAll();
        double[][] dataCht1 = new double[2][rawdata.size() - 1];
        double[][] dataCht2 = new double[2][rawdata.size() - 1];

        // for Chart 1: obs count
        int[] obscount = new int[11];
        for (int i = 0; i < obscount.length; i++) {
            obscount[i] = 0;
        }

        System.out.println("populating data");
        for (int i = 1; i < rawdata.size(); i++) {
            String[] row = rawdata.get(i);
            double obs = Double.parseDouble(row[4]);
            dataCht1[0][i - 1] = Double.parseDouble(row[6]);
            dataCht1[1][i - 1] = obs;

            dataCht2[0][i - 1] = Double.parseDouble(row[5]) - intercept;
            dataCht2[1][i - 1] = obs;

            int obc = (int) Math.round(obs * 10);
            obscount[obc]++;
        }

        DefaultXYDataset dataset1 = new DefaultXYDataset();
        dataset1.addSeries("", dataCht1);

        DefaultXYDataset dataset2 = new DefaultXYDataset();
        dataset2.addSeries("", dataCht2);

        DefaultCategoryDataset dataset3 = new DefaultCategoryDataset();
        for (int i = 0; i < obscount.length; i++) {
            String col = "0." + i + "-0." + (i + 1);
            if (i == 10) {
                col = "0.9-1.0";
            }
            dataset3.addValue(obscount[i] + 100, "col", col);
        }
        generateChartByType("Response Histogram", "Observed Dissimilarity Class", "Number of Site Pairs",
                dataset3, outputdir, "bar", "resphist");

        XYDotRenderer renderer = new XYDotRenderer();
        //Shape cross = ShapeUtilities.createDiagonalCross(3, 1);
        //renderer.setSeriesShape(0, cross);
        renderer.setDotWidth(3);
        renderer.setDotHeight(3);
        renderer.setSeriesPaint(0, Color.BLACK);

        JFreeChart jChart1 = ChartFactory.createScatterPlot(
                "Observed versus predicted compositional dissimilarity",
                "Predicted Compositional Dissimilarity", "Observed Compositional Dissimilarity", dataset1,
                PlotOrientation.VERTICAL, false, false, false);
        jChart1.getTitle().setFont(new Font(Font.MONOSPACED, Font.PLAIN, 14));

        XYPlot plot = (XYPlot) jChart1.getPlot();
        plot.setBackgroundPaint(Color.WHITE);
        plot.setDomainZeroBaselineVisible(true);
        plot.setRangeZeroBaselineVisible(true);
        plot.setDomainGridlinesVisible(true);
        plot.setDomainGridlinePaint(Color.LIGHT_GRAY);
        plot.setDomainGridlineStroke(new BasicStroke(0.5F, 0, 1));
        plot.setRangeGridlinesVisible(true);
        plot.setRangeGridlinePaint(Color.LIGHT_GRAY);
        plot.setRangeGridlineStroke(new BasicStroke(0.5F, 0, 1));
        plot.setRenderer(0, renderer);

        NumberAxis domain = (NumberAxis) plot.getDomainAxis();
        domain.setAutoRangeIncludesZero(false);
        domain.setAxisLineVisible(false);
        domain.setLabelFont(new Font(Font.MONOSPACED, Font.PLAIN, 12));

        NumberAxis range = (NumberAxis) plot.getRangeAxis();
        range.setAutoRangeIncludesZero(false);
        range.setAxisLineVisible(false);
        range.setLabelFont(new Font(Font.MONOSPACED, Font.PLAIN, 12));

        double dMinPred = domain.getRange().getLowerBound();
        double dMaxPred = domain.getRange().getUpperBound();

        double dMinObs = range.getRange().getLowerBound();
        double dMaxObs = range.getRange().getUpperBound();

        System.out.println("1..pred.min.max: " + dMinPred + ", " + dMaxPred);

        int regressionLineSegs = 10;
        double dInc = (dMaxPred - dMinPred) / regressionLineSegs;
        double[][] dataReg1 = new double[2][regressionLineSegs + 1];
        DefaultXYDataset dsReg1 = new DefaultXYDataset();
        int i = 0;
        for (double d = dMinPred; d <= dMaxPred; d += dInc, i++) {
            dataReg1[0][i] = d;
            dataReg1[1][i] = d;
        }
        dsReg1.addSeries("", dataReg1);
        XYSplineRenderer regressionRenderer = new XYSplineRenderer();
        regressionRenderer.setBaseSeriesVisibleInLegend(true);
        regressionRenderer.setSeriesPaint(0, Color.RED);
        regressionRenderer.setSeriesStroke(0, new BasicStroke(1.5f));
        regressionRenderer.setBaseShapesVisible(false);
        plot.setDataset(1, dsReg1);
        plot.setRenderer(1, regressionRenderer);

        System.out.println("Writing image....");
        ChartUtilities.saveChartAsPNG(new File(outputdir + "plots/obspredissim.png"), jChart1, 600, 400);

        // For chart 3
        JFreeChart jChart2 = ChartFactory.createScatterPlot(
                "Observed compositional dissimilarity vs predicted ecological distance",
                "Predicted ecological distance", "Observed Compositional Dissimilarity", dataset2,
                PlotOrientation.VERTICAL, false, false, false);
        jChart2.getTitle().setFont(new Font(Font.MONOSPACED, Font.PLAIN, 14));

        plot = (XYPlot) jChart2.getPlot();
        plot.setBackgroundPaint(Color.WHITE);
        plot.setDomainZeroBaselineVisible(true);
        plot.setRangeZeroBaselineVisible(true);
        plot.setDomainGridlinesVisible(true);
        plot.setDomainGridlinePaint(Color.LIGHT_GRAY);
        plot.setDomainGridlineStroke(new BasicStroke(0.5F, 0, 1));
        plot.setRangeGridlinesVisible(true);
        plot.setRangeGridlinePaint(Color.LIGHT_GRAY);
        plot.setRangeGridlineStroke(new BasicStroke(0.5F, 0, 1));
        plot.setRenderer(0, renderer);

        domain = (NumberAxis) plot.getDomainAxis();
        domain.setAutoRangeIncludesZero(false);
        domain.setAxisLineVisible(false);
        domain.setLabelFont(new Font(Font.MONOSPACED, Font.PLAIN, 12));

        range = (NumberAxis) plot.getRangeAxis();
        range.setAutoRangeIncludesZero(false);
        range.setAxisLineVisible(false);
        range.setLabelFont(new Font(Font.MONOSPACED, Font.PLAIN, 12));

        dMinPred = domain.getRange().getLowerBound();
        dMaxPred = domain.getRange().getUpperBound();

        dMinObs = range.getRange().getLowerBound();
        dMaxObs = range.getRange().getUpperBound();

        System.out.println("2.pred.min.max: " + dMinPred + ", " + dMaxPred);

        regressionLineSegs = 10;
        dInc = (dMaxPred - dMinPred) / regressionLineSegs;
        dataReg1 = new double[2][regressionLineSegs + 1];
        dsReg1 = new DefaultXYDataset();
        i = 0;
        for (double d = dMinPred; d <= dMaxPred; d += dInc, i++) {
            dataReg1[0][i] = d;
            dataReg1[1][i] = (1.0 - Math.exp(-d));
        }
        dsReg1.addSeries("", dataReg1);
        regressionRenderer.setBaseSeriesVisibleInLegend(true);
        regressionRenderer.setSeriesPaint(0, Color.RED);
        regressionRenderer.setSeriesStroke(0, new BasicStroke(1.5f));
        regressionRenderer.setBaseShapesVisible(false);
        plot.setDataset(1, dsReg1);
        plot.setRenderer(1, regressionRenderer);

        System.out.println("Writing image....");
        ChartUtilities.saveChartAsPNG(new File(outputdir + "plots/dissimdist.png"), jChart2, 600, 400);

    } catch (Exception e) {
        System.out.println("Unable to generate charts 2 and 3:");
        e.printStackTrace(System.out);
    }
}

From source file:com.rapidminer.gui.new_plotter.engine.jfreechart.JFreeChartPlotEngine.java

private void pushDataAndRendererIntoPlot(XYPlot plot, int rangeAxisIdx, XYItemRenderer renderer,
        XYDataset dataset) throws ChartPlottimeException {
    if (dataset != null && renderer != null) {
        int datasetIdx = plot.getDatasetCount();
        if (datasetIdx > 0 && plot.getDataset(datasetIdx - 1) == null) {
            datasetIdx -= 1;//from  w  w w  .j a  va  2  s .com
        }
        // push dataset and renderer into plot
        try {
            plot.setDataset(datasetIdx, dataset); // if Eclipse states that
            // dataset might not be
            // initialized, you did
            // not consider all
            // possibilities in the
            // condition block above
        } catch (RuntimeException e) {
            // probably this is because the domain axis contains values less
            // then zero and the scaling is logarithmic.
            // The shitty JFreeChart implementation does not throw a proper
            // exception stating what happened,
            // but just a RuntimeException with a string, so this is our
            // best guess:
            if (isProbablyZeroValuesOnLogScaleException(e)) {
                throw new ChartPlottimeException("gui.plotter.error.log_axis_contains_zero", "domain axis");
            } else {
                throw e;
            }
        }
        plot.mapDatasetToRangeAxis(datasetIdx, rangeAxisIdx);
        plot.setRenderer(datasetIdx, renderer);
    } else {
        ChartPlottimeException chartPlottimeException = new ChartPlottimeException(
                new PlotConfigurationError("generic_plotter_error"));
        throw chartPlottimeException;
    }
}

From source file:com.charts.OneMonthChart.java

public OneMonthChart(YStockQuote currentStock) throws ParseException {

    DateAxis domainAxis = new DateAxis("Date");
    NumberAxis rangeAxis = new NumberAxis("Price");
    CandlestickRenderer renderer = new CandlestickRenderer();
    XYDataset dataset = getDataSet(currentStock);

    XYPlot mainPlot = new XYPlot(dataset, domainAxis, rangeAxis, renderer);

    //Do some setting up, see the API Doc
    renderer.setSeriesPaint(0, Color.BLACK);
    renderer.setDrawVolume(false);//from   www  .  ja v a2s  .c o  m
    rangeAxis.setAutoRangeIncludesZero(false);

    domainAxis.setVerticalTickLabels(true);
    domainAxis.setDateFormatOverride(new SimpleDateFormat("dd-MM-yy"));
    domainAxis.setTickMarkPosition(DateTickMarkPosition.MIDDLE);

    //Now create the chart and chart panel
    JFreeChart chart = new JFreeChart(currentStock.get_name(), null, mainPlot, false);
    chartPanel = new ChartPanel(chart);
    chartPanel.setPreferredSize(new Dimension(600, 300));

    XYPlot plot = (XYPlot) chart.getPlot();
    LegendTitle legend = new LegendTitle(plot);
    chart.addLegend(legend);
    chart.getLegend().setVisible(true);
    chart.getLegend().setPosition(RectangleEdge.BOTTOM);

    ValueAxis yAxis = (ValueAxis) plot.getRangeAxis();
    DateAxis xAxis = (DateAxis) plot.getDomainAxis();
    Date now = new Date();
    SegmentedTimeline segmentedTimeline = SegmentedTimeline.newMondayThroughFridayTimeline();
    Calendar[][] holidays = DayRange.getHolidayDates();
    int len = holidays.length;

    for (int i = 0; i < holidays[0].length; i++) {
        Calendar day = Calendar.getInstance(TimeZone.getTimeZone("EST"));
        day.set(Calendar.YEAR, holidays[0][i].get(Calendar.YEAR));
        day.set(Calendar.MONTH, holidays[0][i].get(Calendar.MONTH));
        day.set(Calendar.DAY_OF_MONTH, holidays[0][i].get(Calendar.DAY_OF_MONTH));
        day.set(Calendar.HOUR_OF_DAY, 9);
        segmentedTimeline.addException(day.getTime());

    }

    xAxis.setTimeline(segmentedTimeline);
    //xAxis.setVerticalTickLabels(true);
    xAxis.setDateFormatOverride(new SimpleDateFormat("MMM-dd"));
    xAxis.setAutoTickUnitSelection(false);
    xAxis.setAutoRange(false);
    renderer.setAutoWidthFactor(0.5);
    renderer.setUpPaint(Color.green);
    renderer.setDownPaint(new Color(0xc0, 0x00, 0x00));
    renderer.setSeriesPaint(0, Color.black);

    StandardXYItemRenderer renderer1 = new StandardXYItemRenderer();
    renderer1.setSeriesPaint(0, Color.BLUE);
    TimeSeries movingAverage30 = MovingAverage.createMovingAverage(close, "MA(30)", 30, 0);
    Double currMA30 = (Double) movingAverage30.getDataItem(movingAverage30.getItemCount() - 1).getValue();
    currMA30 = Math.round(currMA30 * 100.0) / 100.0;
    movingAverage30.setKey("MA(30): " + currMA30);
    TimeSeriesCollection collection = new TimeSeriesCollection();
    collection.addSeries(movingAverage30);
    plot.setDataset(1, collection);
    plot.setRenderer(1, renderer1);

    chartPanel.revalidate();
    chartPanel.repaint();
    chartPanel.revalidate();
    chartPanel.repaint();
}

From source file:com.charts.SixMonthChart.java

public SixMonthChart(YStockQuote currentStock) throws ParseException {

    DateAxis domainAxis = new DateAxis("Date");
    NumberAxis rangeAxis = new NumberAxis("Price");
    CandlestickRenderer renderer = new CandlestickRenderer();
    XYDataset dataset = getDataSet(currentStock);

    XYPlot mainPlot = new XYPlot(dataset, domainAxis, rangeAxis, renderer);

    //Do some setting up, see the API Doc
    renderer.setSeriesPaint(0, Color.BLACK);
    renderer.setDrawVolume(false);/*from  w  w  w.  j  av  a  2s.c o m*/
    rangeAxis.setAutoRangeIncludesZero(false);

    domainAxis.setDateFormatOverride(new SimpleDateFormat("dd-MM-yy"));
    domainAxis.setTickMarkPosition(DateTickMarkPosition.MIDDLE);

    //Now create the chart and chart panel
    JFreeChart chart = new JFreeChart(currentStock.get_name(), null, mainPlot, false);
    chartPanel = new ChartPanel(chart);
    chartPanel.setPreferredSize(new Dimension(600, 300));

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

    LegendTitle legend = new LegendTitle(plot);

    chart.addLegend(legend);
    chart.getLegend().setVisible(true);
    chart.getLegend().setPosition(RectangleEdge.BOTTOM);

    ValueAxis yAxis = (ValueAxis) plot.getRangeAxis();
    DateAxis xAxis = (DateAxis) plot.getDomainAxis();
    Date now = new Date();
    SegmentedTimeline segmentedTimeline = SegmentedTimeline.newMondayThroughFridayTimeline();
    Calendar[][] holidays = DayRange.getHolidayDates();
    int len = holidays.length;

    for (int i = 0; i < holidays[0].length; i++) {
        Calendar day = Calendar.getInstance(TimeZone.getTimeZone("EST"));
        day.set(Calendar.YEAR, holidays[0][i].get(Calendar.YEAR));
        day.set(Calendar.MONTH, holidays[0][i].get(Calendar.MONTH));
        day.set(Calendar.DAY_OF_MONTH, holidays[0][i].get(Calendar.DAY_OF_MONTH));
        day.set(Calendar.HOUR_OF_DAY, 9);
        segmentedTimeline.addException(day.getTime());

    }

    xAxis.setTimeline(segmentedTimeline);
    //xAxis.setVerticalTickLabels(true);
    xAxis.setDateFormatOverride(new SimpleDateFormat("MMM y"));
    xAxis.setAutoTickUnitSelection(true);
    xAxis.setAutoRange(true);
    renderer.setAutoWidthFactor(0.5);
    renderer.setUpPaint(Color.green);
    renderer.setDownPaint(new Color(0xc0, 0x00, 0x00));
    renderer.setSeriesPaint(0, Color.black);

    StandardXYItemRenderer renderer1 = new StandardXYItemRenderer();
    renderer1.setSeriesPaint(0, Color.BLUE);
    TimeSeries movingAverage30 = MovingAverage.createMovingAverage(close, "MA(30)", 30, 0);
    Double currMA30 = (Double) movingAverage30.getDataItem(movingAverage30.getItemCount() - 1).getValue();
    currMA30 = Math.round(currMA30 * 100.0) / 100.0;
    movingAverage30.setKey("MA(30): " + currMA30);
    TimeSeriesCollection collection = new TimeSeriesCollection();
    collection.addSeries(movingAverage30);
    plot.setDataset(1, collection);
    plot.setRenderer(1, renderer1);

    chartPanel.revalidate();
    chartPanel.repaint();
    chartPanel.revalidate();
    chartPanel.repaint();
}

From source file:ec.ui.view.DistributionView.java

protected void onDataChange() {
    XYPlot plot = chartPanel.getChart().getXYPlot();

    if (data != DEFAULT_DATA) {
        DescriptiveStatistics stats = new DescriptiveStatistics(new DataBlock(data));

        double m = 0, M = 0, dv = 1;
        if (adjustDistribution && distribution != DEFAULT_DISTRIBUTION) {
            m = stats.getAverage();//from   w w w.jav  a2 s. c  o  m
            M = distribution.getExpectation();
            double v = stats.getVar();
            double V = distribution.getVariance();
            dv = Math.sqrt(v / V);
        }

        final double xmin = stats.getMin() < lBound ? stats.getMin() : lBound;
        final double xmax = stats.getMax() > rBound ? stats.getMax() : rBound;
        final int n = hCount != 0 ? hCount : (int) Math.ceil(Math.sqrt(stats.getObservationsCount()));
        final double xstep = (xmax - xmin) / n;

        // distribution >
        if (distribution != DEFAULT_DISTRIBUTION) {
            Function2D density = new Function2D() {
                @Override
                public double getValue(double x) {
                    return distribution.getDensity(x);
                }
            };

            final double zmin = distribution.hasLeftBound() != BoundaryType.None ? distribution.getLeftBound()
                    : ((xmin - xstep - m) / dv + M);
            final double zmax = distribution.hasRightBound() != BoundaryType.None ? distribution.getRightBound()
                    : ((xmax + xstep - m) / dv + M);

            // TODO: create IDistribution#getName() method
            String name = distribution.getClass().getSimpleName();

            ((XYLineAndShapeRenderer) plot.getRenderer(DISTRIBUTION_INDEX))
                    .setLegendItemToolTipGenerator(getTooltipGenerator(distribution));
            plot.setDataset(DISTRIBUTION_INDEX,
                    DatasetUtilities.sampleFunction2D(density, zmin, zmax, n, name));
        } else {
            plot.setDataset(DISTRIBUTION_INDEX, Charts.emptyXYDataset());
        }
        // < distribution

        // histogram >
        XYSeries hSeries = new XYSeries("");
        double nobs = stats.getObservationsCount();
        for (int i = 0; i <= n; ++i) {
            double x0 = xmin + i * xstep;
            double x1 = x0 + xstep;
            double y = stats.countBetween(x0, x1) / (nobs * xstep / dv);
            hSeries.add(((x0 + x1) / 2 - m) / dv + M, y);
        }

        plot.setDataset(HISTOGRAM_INDEX, new XYBarDataset(new XYSeriesCollection(hSeries), xstep / dv + M));
        // < histogram
    } else {
        plot.setDataset(HISTOGRAM_INDEX, Charts.emptyXYDataset());
        plot.setDataset(DISTRIBUTION_INDEX, Charts.emptyXYDataset());
    }

    onColorSchemeChange();
}

From source file:de.bund.bfr.knime.pmm.common.chart.ChartCreator.java

private void plotDataSet(XYPlot plot, Plotable plotable, String id, Color defaultColor, Shape defaultShape)
        throws ConvertException {
    double[][] points = plotable.getPoints(paramX, paramY, unitX, unitY, transformX, transformY);
    String legend = shortLegend.get(id);
    Color color = colors.get(id);
    Shape shape = shapes.get(id);

    if (addInfoInLegend) {
        legend = longLegend.get(id);/*from  ww  w.  j  av  a  2 s  . c  o m*/
    }

    if (color == null) {
        color = defaultColor;
    }

    if (shape == null) {
        shape = defaultShape;
    }

    if (points != null) {
        DefaultXYDataset dataset = new DefaultXYDataset();
        XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(drawLines, true);

        dataset.addSeries(legend, points);
        renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());
        renderer.setSeriesPaint(0, color);
        renderer.setSeriesShape(0, shape);

        int i;

        if (plot.getDataset(0) == null) {
            i = 0;
        } else {
            i = plot.getDatasetCount();
        }

        plot.setDataset(i, dataset);
        plot.setRenderer(i, renderer);
    }
}

From source file:com.prezerak.windmill.gui.AveragesPanel.java

private void plotEverything() {
    try {//from www  .j a v a  2s  . com
        final XYPlot plot = chart.getXYPlot();

        ValueAxis domainAxis = plot.getDomainAxis();
        plot.getDomainAxis().setLowerMargin(0);
        plot.getDomainAxis().setUpperMargin(0);
        plot.getDomainAxis().setAutoRange(true);

        if (domainAxis instanceof DateAxis) {
            DateAxis axis = (DateAxis) domainAxis;
            // customise axis here...
            //axis.setRange(new Date(startDate), new Date(endDate));
            long startT = datasetVel.getDataItem(0).getPeriod().getLastMillisecond();
            long endT = datasetVel.getDataItem(datasetVel.getItemCount() - 1).getPeriod().getLastMillisecond();
            ;
            DateFormat formatter;
            long duration = endT - startT;
            long _24hrs = 1000 * 60 * 60 * 24;
            long _3mins = 1000 * 60 * 3;

            if (duration > _24hrs) {
                formatter = new SimpleDateFormat("HH:mm dd-MMM");
            } else if (endDate - startDate > _3mins && endDate - startDate <= _24hrs)
                formatter = new SimpleDateFormat("HH:mm");
            else //smaller than 3mins
                formatter = new SimpleDateFormat("HH:mm:ss");
            axis.setDateFormatOverride(formatter);
        }

        TimeSeriesCollection seriesVel = new TimeSeriesCollection();
        seriesVel.addSeries(datasetVel);
        plot.setDataset(0, seriesVel);
        final NumberAxis velRangeAxis = (NumberAxis) plot.getRangeAxis();
        velRangeAxis.setRange(0.0, maxY);
        plot.setRangeAxis(velRangeAxis);
        plot.mapDatasetToRangeAxis(0, 0);
        XYLineAndShapeRenderer velocityRenderer = (XYLineAndShapeRenderer) plot.getRenderer(0);
        velocityRenderer.setBaseShapesVisible(true);
        velocityRenderer.setBaseShapesFilled(false);
        velocityRenderer.setBaseToolTipGenerator(
                new StandardXYToolTipGenerator(StandardXYToolTipGenerator.DEFAULT_TOOL_TIP_FORMAT,
                        new SimpleDateFormat("dd-MM-yy, hh:mm:ss a"), new DecimalFormat("00.0")));
        velocityRenderer.setSeriesPaint(0, Color.BLACK);

        if (!rdbtnVelocity.isSelected()) {
            velocityRenderer.setSeriesVisible(0, false);
        } else {
            velocityRenderer.setSeriesVisible(0, true);
        }

        TimeSeriesCollection seriesDir = new TimeSeriesCollection();
        seriesDir.addSeries(datasetDir);
        plot.setDataset(1, seriesDir);
        final ValueAxis dirRangeAxis = new NumberAxis("Direction");
        dirRangeAxis.setRange(0.0, 370.0);
        plot.setRangeAxis(1, dirRangeAxis);
        plot.mapDatasetToRangeAxis(1, 1);

        XYLineAndShapeRenderer dirRenderer = (XYLineAndShapeRenderer) plot.getRenderer(1);
        if (dirRenderer == null)
            dirRenderer = new XYLineAndShapeRenderer();
        dirRenderer.setBaseToolTipGenerator(
                new StandardXYToolTipGenerator(StandardXYToolTipGenerator.DEFAULT_TOOL_TIP_FORMAT,
                        new SimpleDateFormat("dd-MM-yy, hh:mm:ss a"), new DecimalFormat("00.0")));

        plot.setRenderer(1, dirRenderer);
        dirRenderer.setSeriesPaint(0, Color.BLUE);

        if (!rdbtnDirection.isSelected()) {
            dirRenderer.setSeriesVisible(0, false);
        } else {
            dirRenderer.setSeriesVisible(0, true);
        }

        final ValueAxis alarmsRangeAxis = new NumberAxis("Alarms");
        alarmsRangeAxis.setRange(0.0, 1);
        alarmsRangeAxis.setVisible(false);

        XYBarRenderer gustRenderer = null;

        TimePeriodValuesCollection seriesGust = new TimePeriodValuesCollection(datasetGust);
        plot.setDataset(2, seriesGust);

        plot.setRangeAxis(2, alarmsRangeAxis);
        plot.mapDatasetToRangeAxis(2, 2);

        gustRenderer = (XYBarRenderer) plot.getRenderer(2);
        if (gustRenderer == null)
            gustRenderer = new XYBarRenderer();
        plot.setRenderer(2, gustRenderer);
        gustRenderer.setSeriesPaint(0, Color.PINK);

        if ((rdbtnVelocity.isSelected() || rdbtnDirection.isSelected()) && rdbtnGust.isSelected())
            gustRenderer.setSeriesVisible(0, true);
        else
            gustRenderer.setSeriesVisible(0, false);

        XYBarRenderer higherRenderer = null;
        TimePeriodValuesCollection seriesHigher = new TimePeriodValuesCollection(datasetHigher);
        plot.setDataset(3, seriesHigher);

        plot.setRangeAxis(3, alarmsRangeAxis);
        plot.mapDatasetToRangeAxis(3, 2);

        higherRenderer = (XYBarRenderer) plot.getRenderer(3);
        if (higherRenderer == null)
            higherRenderer = new XYBarRenderer();
        plot.setRenderer(3, higherRenderer);
        higherRenderer.setSeriesPaint(0, Color.RED);
        if ((rdbtnVelocity.isSelected() || rdbtnDirection.isSelected()) && rdbtnHigher.isSelected())

            higherRenderer.setSeriesVisible(0, true);

        else
            higherRenderer.setSeriesVisible(0, false);

        TimePeriodValuesCollection seriesHigh = new TimePeriodValuesCollection(datasetHigh);
        plot.setDataset(4, seriesHigh);

        plot.setRangeAxis(4, alarmsRangeAxis);
        plot.mapDatasetToRangeAxis(4, 2);

        XYBarRenderer highRenderer = (XYBarRenderer) plot.getRenderer(4);
        if (highRenderer == null)
            highRenderer = new XYBarRenderer();
        plot.setRenderer(4, highRenderer);
        highRenderer.setSeriesPaint(0, new Color(206, 33, 85));
        if ((rdbtnVelocity.isSelected() || rdbtnDirection.isSelected()) && rdbtnHigh.isSelected())

            highRenderer.setSeriesVisible(0, true);
        else
            highRenderer.setSeriesVisible(0, false);

    } catch (OutOfMemoryError e) {
        WindMill.logger.warn("Out of Memory in plotEverything");
    }

}

From source file:whitebox.stats.Kriging.java

/**
 * It gets the semivariogram type and bins list and draw a graph for them
 * TheoryVariogram should be called first
 *
 * @param bins/*from ww  w.java  2 s.  co m*/
 * @param variogram
 */
public void DrawSemivariogram(bin[][] bins, Variogram variogram) {
    XYSeriesCollection sampleCollct = new XYSeriesCollection();
    XYSeries series = new XYSeries("Sample Variogram");
    //        for (Iterator<bin> i = bins.iterator(); i.hasNext(); )
    //        {
    //            series.add(bins.get(j).Distance,bins.get(j).Value);
    //            i.next();
    //            j++;
    //        }
    XYLineAndShapeRenderer xylineshapRend = new XYLineAndShapeRenderer(false, true);
    CombinedRangeXYPlot combinedrangexyplot = new CombinedRangeXYPlot();
    for (int i = 0; i < bins[0].length; i++) {
        for (int k = 0; k < bins.length; k++) {
            if (!Double.isNaN(bins[k][i].Value)) {
                series.add(bins[k][i].Distance, bins[k][i].Value);
            }
        }
        sampleCollct.addSeries(series);
        double[][] res = CalcTheoreticalSVValues(variogram, series.getMaxX());
        XYSeries seriesTSV = new XYSeries("Theoretical Variogram");
        for (int l = 0; l < res.length; l++) {
            seriesTSV.add(res[l][0], res[l][1]);
        }
        XYSeriesCollection theorCollct = new XYSeriesCollection();
        theorCollct.addSeries(seriesTSV);

        XYDataset xydataset = sampleCollct;

        XYPlot xyplot1 = new XYPlot(xydataset, new NumberAxis(), null, xylineshapRend);

        xyplot1.setDataset(1, theorCollct);
        XYLineAndShapeRenderer lineshapRend = new XYLineAndShapeRenderer(true, false);
        xyplot1.setRenderer(1, lineshapRend);
        xyplot1.setDatasetRenderingOrder(DatasetRenderingOrder.FORWARD);
        combinedrangexyplot.add(xyplot1);
    }

    DecimalFormat df = new DecimalFormat("###,##0.000");
    String title = "Semivariogram (RMSE = " + df.format(Math.sqrt(variogram.mse)) + ")";
    JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, combinedrangexyplot, true);

    //        JFreeChart chart = ChartFactory.createScatterPlot(
    //            "Semivariogram", // chart title
    //            "Distance", // x axis label
    //            "Moment of Inertia", // y axis label
    //            result, // data  
    //            PlotOrientation.VERTICAL,
    //            true, // include legend
    //            true, // tooltips
    //            false // urls
    //            );
    // create and display a frame...
    ChartFrame frame = new ChartFrame("Semivariogram", chart);
    frame.pack();
    frame.setVisible(true);
}

From source file:de.dmarcini.submatix.pclogger.gui.spx42LogGraphPanel.java

/**
 * Erzeuge eine Grafik fr die Nullzeitanzeige Project: SubmatixBTForPC Package: de.dmarcini.submatix.pclogger.gui
 * /*  w w w.  ja  v  a 2 s.c  o m*/
 * @author Dirk Marciniak (dirk_marciniak@arcor.de) Stand: 02.08.2012
 * @param diveList
 * @param thePlot
 */
private void makeNulltimeGraph(Vector<Integer[]> diveList, XYPlot thePlot) {
    XYDataset nullTimeDataSet;
    //
    lg.debug("create nulltime dataset");
    nullTimeDataSet = createXYDataset(LangStrings.getString("spx42LogGraphPanel.graph.nulltimeScalaTitle"),
            diveList, ProjectConst.UNITS_DEFAULT, 0, LogDerbyDatabaseUtil.NULLTIME);
    final XYLineAndShapeRenderer lineNullTimeRenderer = new XYLineAndShapeRenderer(true, true);
    final LogarithmicAxis nullTimeAxis = new LogarithmicAxis(
            LangStrings.getString("spx42LogGraphPanel.graph.nulltimeAxisTitle"));
    nullTimeAxis.setNumberFormatOverride(new DecimalFormat("#.###"));
    lineNullTimeRenderer.setSeriesPaint(0, new Color(ProjectConst.GRAPH_NULLTIME_ACOLOR));
    lineNullTimeRenderer.setSeriesShapesVisible(0, false);
    lineNullTimeRenderer.setDrawSeriesLineAsPath(true);
    nullTimeAxis.setAutoRange(false);
    nullTimeAxis.setRange(0.0D, 200.0D); // Lege die Nullzeit Axenreichweite auf ein bersichtliches Ma fest
    // nullTimeAxis.setAutoRangeIncludesZero( true );
    thePlot.setRangeAxis(GRAPH_NULLTIME, nullTimeAxis);
    thePlot.mapDatasetToRangeAxis(GRAPH_NULLTIME, GRAPH_NULLTIME);
    thePlot.setDataset(GRAPH_NULLTIME, nullTimeDataSet);
    thePlot.setRenderer(GRAPH_NULLTIME, lineNullTimeRenderer);
}