Example usage for org.jfree.chart.renderer.xy XYErrorRenderer XYErrorRenderer

List of usage examples for org.jfree.chart.renderer.xy XYErrorRenderer XYErrorRenderer

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Introduction

In this page you can find the example usage for org.jfree.chart.renderer.xy XYErrorRenderer XYErrorRenderer.

Prototype

public XYErrorRenderer()

Source Link

Document

Creates a new XYErrorRenderer instance.

Usage

From source file:org.esa.beam.visat.toolviews.stat.ProfilePlotPanel.java

@Override
protected void initComponents() {
    getAlternativeView().initComponents();
    dataset = new XYIntervalSeriesCollection();
    this.chart = ChartFactory.createXYLineChart(CHART_TITLE, "Path in pixels", DEFAULT_SAMPLE_DATASET_NAME,
            dataset, PlotOrientation.VERTICAL, true, true, false);
    final XYPlot plot = chart.getXYPlot();

    deviationRenderer = new DeviationRenderer();
    deviationRenderer.setUseFillPaint(true);
    deviationRenderer.setBaseToolTipGenerator(new XYPlotToolTipGenerator());
    deviationRenderer.setSeriesLinesVisible(0, true);
    deviationRenderer.setSeriesShapesVisible(0, false);
    deviationRenderer.setSeriesStroke(0, new BasicStroke(1.0f));
    deviationRenderer.setSeriesPaint(0, StatisticChartStyling.SAMPLE_DATA_PAINT);
    deviationRenderer.setSeriesFillPaint(0, StatisticChartStyling.SAMPLE_DATA_FILL_PAINT);

    pointRenderer = new XYErrorRenderer();
    pointRenderer.setUseFillPaint(true);
    pointRenderer.setBaseToolTipGenerator(new XYPlotToolTipGenerator());
    pointRenderer.setSeriesLinesVisible(0, false);
    pointRenderer.setSeriesShapesVisible(0, true);
    pointRenderer.setSeriesStroke(0, new BasicStroke(1.0f));
    pointRenderer.setSeriesPaint(0, StatisticChartStyling.SAMPLE_DATA_PAINT);
    pointRenderer.setSeriesFillPaint(0, StatisticChartStyling.SAMPLE_DATA_FILL_PAINT);
    pointRenderer.setSeriesShape(0, StatisticChartStyling.SAMPLE_DATA_POINT_SHAPE);

    configureRendererForCorrelativeData(deviationRenderer);
    configureRendererForCorrelativeData(pointRenderer);

    plot.setNoDataMessage(NO_DATA_MESSAGE);
    plot.setAxisOffset(new RectangleInsets(5, 5, 5, 5));
    plot.setRenderer(deviationRenderer);

    final AxisChangeListener axisListener = new AxisChangeListener() {
        @Override//ww  w  .  ja v a 2  s.c om
        public void axisChanged(AxisChangeEvent event) {
            adjustAxisControlComponents();
        }
    };

    final ValueAxis domainAxis = plot.getDomainAxis();
    final ValueAxis rangeAxis = plot.getRangeAxis();
    // allow transfer from bounds into min/max fields, if auto min/maxis enabled
    domainAxis.setAutoRange(true);
    rangeAxis.setAutoRange(true);

    domainAxis.addChangeListener(axisListener);
    rangeAxis.addChangeListener(axisListener);

    intervalMarkers = new HashSet<>();

    xAxisRangeControl = new AxisRangeControl("X-Axis");
    yAxisRangeControl = new AxisRangeControl("Y-Axis");

    final PropertyChangeListener changeListener = new PropertyChangeListener() {
        @Override
        public void propertyChange(PropertyChangeEvent evt) {
            if (evt.getPropertyName().equals(PROPERTY_NAME_MARK_SEGMENTS)) {
                updateDataSet();
            }
            if (evt.getPropertyName().equals(PROPERTY_NAME_LOG_SCALED)) {
                updateScalingOfYAxis();
            }
            updateUIState();
        }
    };
    xAxisRangeControl.getBindingContext().addPropertyChangeListener(changeListener);
    xAxisRangeControl.getBindingContext().getPropertySet()
            .addProperty(Property.create(PROPERTY_NAME_MARK_SEGMENTS, false));
    xAxisRangeControl.getBindingContext().getPropertySet().getDescriptor(PROPERTY_NAME_MARK_SEGMENTS)
            .setDescription("Toggle whether to mark segments");

    yAxisRangeControl.getBindingContext().addPropertyChangeListener(changeListener);
    yAxisRangeControl.getBindingContext().getPropertySet()
            .addProperty(Property.create(PROPERTY_NAME_LOG_SCALED, false));
    yAxisRangeControl.getBindingContext().getPropertySet().getDescriptor(PROPERTY_NAME_LOG_SCALED)
            .setDescription("Toggle whether to use a logarithmic axis");

    dataSourceConfig = new DataSourceConfig();
    final BindingContext bindingContext = new BindingContext(
            PropertyContainer.createObjectBacked(dataSourceConfig));

    JPanel middlePanel = createMiddlePanel(bindingContext);
    createUI(createChartPanel(chart), middlePanel, bindingContext);

    isInitialized = true;

    updateComponents();
}

From source file:org.gumtree.vis.awt.PlotFactory.java

/**
 * Creates a line chart (based on an {@link XYDataset}) with default
 * settings.//  w w  w  .  j a v  a2 s .  com
 *
 * @param title  the chart title (<code>null</code> permitted).
 * @param xAxisLabel  a label for the X-axis (<code>null</code> permitted).
 * @param yAxisLabel  a label for the Y-axis (<code>null</code> permitted).
 * @param dataset  the dataset for the chart (<code>null</code> permitted).
 * @param orientation  the plot orientation (horizontal or vertical)
 *                     (<code>null</code> NOT permitted).
 * @param legend  a flag specifying whether or not a legend is required.
 * @param tooltips  configure chart to generate tool tips?
 * @param urls  configure chart to generate URLs?
 *
 * @return The chart.
 */
protected static JFreeChart createXYLineChart(String title, String xAxisLabel, String yAxisLabel,
        XYDataset dataset, PlotOrientation orientation, boolean legend, boolean tooltips, boolean urls) {

    if (orientation == null) {
        throw new IllegalArgumentException("Null 'orientation' argument.");
    }
    //        NumberAxis xAxis = new NumberAxis(xAxisLabel);
    LogarithmizableAxis xAxis = new LogarithmizableAxis(xAxisLabel);
    boolean isLogX = false;
    try {
        isLogX = Boolean.valueOf(System.getProperty(LOGX_PROPERTY));
    } catch (Exception e) {
    }
    xAxis.setLogarithmic(isLogX);
    //        xAxis.setAutoRangeIncludesZero(false);
    xAxis.setAllowNegativesFlag(true);
    xAxis.setLowerMargin(0.02);
    xAxis.setUpperMargin(0.02);
    //        NumberAxis yAxis = new NumberAxis(yAxisLabel);
    LogarithmizableAxis yAxis = new LogarithmizableAxis(yAxisLabel);
    boolean isLogY = false;
    try {
        isLogY = Boolean.valueOf(System.getProperty(LOGY_PROPERTY));
    } catch (Exception e) {
    }
    yAxis.setLogarithmic(isLogY);
    yAxis.setAllowNegativesFlag(true);
    yAxis.setAutoRangeNextLogFlag(false);
    yAxis.setLowerMargin(0.02);
    yAxis.setUpperMargin(0.02);
    XYErrorRenderer renderer = new XYErrorRenderer();
    renderer.setBaseLinesVisible(true);
    renderer.setBaseShapesVisible(false);
    renderer.setDrawYError(true);
    //        XYItemRenderer renderer = new XYLineAndShapeRenderer(true, false);
    XYPlot plot = new XYPlot(dataset, xAxis, yAxis, renderer);
    plot.setOrientation(orientation);
    if (tooltips) {
        renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());
    }
    if (urls) {
        renderer.setURLGenerator(new StandardXYURLGenerator());
    }

    JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, legend);
    chartTheme.apply(chart);
    return chart;

}

From source file:SciTK.PlotXYError.java

/** More (common) initialization routines */
private void init(String x_label, String y_label, String window_title) {
    chart = ChartFactory.createScatterPlot("", x_label, y_label, data, PlotOrientation.VERTICAL, false, true,
            false);/*from   w ww  .j a  v  a  2 s  . c om*/

    XYErrorRenderer renderer = new XYErrorRenderer();
    XYPlot plot = chart.getXYPlot(); // the plot itself
    plot.setRenderer(renderer);

    // for some reason default is white, change it to black:
    setGridlineColor(Color.BLACK);

    super.window_title = window_title;
    super.initUI();
}

From source file:org.gumtree.vis.plot1d.Plot1D.java

/**
 * Creates a line chart (based on an {@link XYDataset}) with default
 * settings.//from   w ww.  j a  va 2s.  co m
 *
 * @param title  the chart title (<code>null</code> permitted).
 * @param xAxisLabel  a label for the X-axis (<code>null</code> permitted).
 * @param yAxisLabel  a label for the Y-axis (<code>null</code> permitted).
 * @param dataset  the dataset for the chart (<code>null</code> permitted).
 * @param orientation  the plot orientation (horizontal or vertical)
 *                     (<code>null</code> NOT permitted).
 * @param legend  a flag specifying whether or not a legend is required.
 * @param tooltips  configure chart to generate tool tips?
 * @param urls  configure chart to generate URLs?
 *
 * @return The chart.
 */
public static JFreeChart createXYLineChart(String title, String xAxisLabel, String yAxisLabel,
        XYDataset dataset, PlotOrientation orientation, boolean legend, boolean tooltips, boolean urls) {

    if (orientation == null) {
        throw new IllegalArgumentException("Null 'orientation' argument.");
    }
    //        NumberAxis xAxis = new NumberAxis(xAxisLabel);
    LogarithmizableAxis xAxis = new LogarithmizableAxis(xAxisLabel);

    xAxis.setLogarithmic(false);
    xAxis.setAutoRangeIncludesZero(false);
    xAxis.setAllowNegativesFlag(true);
    xAxis.setLowerMargin(0.02);
    xAxis.setUpperMargin(0.02);
    //        NumberAxis yAxis = new NumberAxis(yAxisLabel);
    LogarithmizableAxis yAxis = new LogarithmizableAxis(yAxisLabel);
    yAxis.setAllowNegativesFlag(true);
    yAxis.setAutoRangeNextLogFlag(false);
    yAxis.setLowerMargin(0.02);
    yAxis.setUpperMargin(0.02);
    yAxis.setLogarithmic(false);
    XYErrorRenderer renderer = new XYErrorRenderer();
    renderer.setBaseLinesVisible(true);
    renderer.setBaseShapesVisible(false);
    renderer.setDrawYError(true);
    //        XYItemRenderer renderer = new XYLineAndShapeRenderer(true, false);
    XYPlot plot = new XYPlot(dataset, xAxis, yAxis, renderer);
    plot.setOrientation(orientation);
    if (tooltips) {
        renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());
    }
    if (urls) {
        renderer.setURLGenerator(new StandardXYURLGenerator());
    }

    JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, legend);
    chartTheme.apply(chart);
    return chart;

}

From source file:weka.classifiers.timeseries.eval.graph.JFreeChartDriver.java

protected JFreeChart getPredictedStepsChart(TSForecaster forecaster, List<ErrorModule> preds, String targetName,
        List<Integer> stepsToPlot, int instanceNumOffset, Instances data) {

    if (forecaster instanceof TSLagUser && data != null) {
        TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker();
        if (lagMaker.getAdjustForTrends() && !lagMaker.isUsingAnArtificialTimeIndex()) {

            // fill in any missing time stamps only
            data = new Instances(data);
            data = weka.classifiers.timeseries.core.Utils.replaceMissing(data, null,
                    lagMaker.getTimeStampField(), true, lagMaker.getPeriodicity(), lagMaker.getSkipEntries());
        }//  w  w w  .  java 2s  . c o m
    }

    // set up a collection of predicted series
    XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection();

    XYIntervalSeries targetSeries = new XYIntervalSeries(targetName, false, false);
    xyDataset.addSeries(targetSeries);
    // for (int i = 0; i < preds.size(); i++) {
    for (int z = 0; z < stepsToPlot.size(); z++) {
        int i = stepsToPlot.get(z);
        i--;
        // ignore out of range steps
        if (i < 0 || i >= preds.size()) {
            continue;
        }

        String step = "-steps";
        if (i == 0) {
            step = "-step";
        }
        targetSeries = new XYIntervalSeries(targetName + "_" + (i + 1) + step + "-ahead", false, false);
        xyDataset.addSeries(targetSeries);
    }

    ValueAxis timeAxis = null;
    NumberAxis valueAxis = new NumberAxis("");
    valueAxis.setAutoRangeIncludesZero(false);
    int timeIndex = -1;
    boolean timeAxisIsDate = false;
    if (forecaster instanceof TSLagUser && data != null) {
        TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker();
        if (!lagMaker.isUsingAnArtificialTimeIndex() && lagMaker.getAdjustForTrends()) {
            String timeName = lagMaker.getTimeStampField();
            if (data.attribute(timeName).isDate()) {
                timeAxis = new DateAxis("");
                timeAxisIsDate = true;
                timeIndex = data.attribute(timeName).index();
            }
        }
    }

    if (timeAxis == null) {
        timeAxis = new NumberAxis("");
        ((NumberAxis) timeAxis).setAutoRangeIncludesZero(false);
    }

    // now populate the series
    // for (int i = 0; i < preds.size(); i++) {
    boolean doneActual = false;
    boolean hasConfidenceIntervals = false;
    for (int z = 0; z < stepsToPlot.size(); z++) {
        int i = stepsToPlot.get(z);
        i--;

        // ignore out of range steps
        if (i < 0 || i >= preds.size()) {
            continue;
        }
        ErrorModule predsForStepI = preds.get(i);
        List<NumericPrediction> predsForTargetAtI = predsForStepI.getPredictionsForTarget(targetName);

        String step = "-steps";
        if (i == 0) {
            step = "-step";
        }
        int predIndex = xyDataset.indexOf(targetName + "_" + (i + 1) + step + "-ahead");
        XYIntervalSeries predSeries = xyDataset.getSeries(predIndex);
        XYIntervalSeries actualSeries = null;
        if (!doneActual) {
            int actualIndex = xyDataset.indexOf(targetName);
            actualSeries = xyDataset.getSeries(actualIndex);
        }

        for (int j = 0; j < predsForTargetAtI.size(); j++) {
            double x = Utils.missingValue();
            if (timeAxisIsDate) {
                if (instanceNumOffset + j + i < data.numInstances()) {
                    x = data.instance(instanceNumOffset + j + i).value(timeIndex);
                }
            } else {
                x = instanceNumOffset + j + i;
            }

            double yPredicted = predsForTargetAtI.get(j).predicted();
            double yHigh = yPredicted;
            double yLow = yPredicted;
            double[][] conf = predsForTargetAtI.get(j).predictionIntervals();
            if (conf.length > 0) {
                yLow = conf[0][0];
                yHigh = conf[0][1];
                hasConfidenceIntervals = true;
            }
            if (!Utils.isMissingValue(x) && !Utils.isMissingValue(yPredicted)) {
                if (predSeries != null) {
                    predSeries.add(x, x, x, yPredicted, yLow, yHigh);
                }
                // System.err.println("* " + yPredicted + " " + x);
            }

            if (!doneActual && actualSeries != null) {
                double yActual = predsForTargetAtI.get(j).actual();
                if (!Utils.isMissingValue(x) && !Utils.isMissingValue(yActual)) {
                    actualSeries.add(x, x, x, yActual, yActual, yActual);
                }
            }
        }

        if (actualSeries != null) {
            doneActual = true;
        }
    }

    // set up the chart
    String title = "";
    for (int i : stepsToPlot) {
        title += i + ",";
    }
    title = title.substring(0, title.lastIndexOf(","));
    title += " step-ahead predictions for " + targetName;

    /*
     * String algoSpec = forecaster.getAlgorithmName(); title += " (" + algoSpec
     * + ")";
     */

    if (forecaster instanceof WekaForecaster && hasConfidenceIntervals) {
        double confPerc = ((WekaForecaster) forecaster).getConfidenceLevel() * 100.0;
        title += " [" + Utils.doubleToString(confPerc, 0) + "% conf. intervals]";
    }

    XYErrorRenderer renderer = new XYErrorRenderer();
    renderer.setBaseLinesVisible(true);
    // renderer.setShapesFilled(true);
    XYPlot plot = new XYPlot(xyDataset, timeAxis, valueAxis, renderer);
    JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, true);
    chart.setBackgroundPaint(java.awt.Color.white);
    TextTitle chartTitle = chart.getTitle();
    String fontName = chartTitle.getFont().getFontName();
    java.awt.Font newFont = new java.awt.Font(fontName, java.awt.Font.PLAIN, 12);
    chartTitle.setFont(newFont);

    return chart;
}

From source file:org.esa.snap.rcp.statistics.ScatterPlotPanel.java

private void createUI() {

    final XYPlot plot = getPlot();
    plot.setAxisOffset(new RectangleInsets(5, 5, 5, 5));
    plot.setNoDataMessage(NO_DATA_MESSAGE);
    int confidenceDSIndex = 0;
    int regressionDSIndex = 1;
    int scatterpointsDSIndex = 2;
    plot.setDataset(confidenceDSIndex, acceptableDeviationDataset);
    plot.setDataset(regressionDSIndex, regressionDataset);
    plot.setDataset(scatterpointsDSIndex, scatterpointsDataset);

    plot.addAnnotation(r2Annotation);

    final DeviationRenderer identityRenderer = new DeviationRenderer(true, false);
    identityRenderer.setSeriesPaint(0, StatisticChartStyling.SAMPLE_DATA_PAINT);
    identityRenderer.setSeriesFillPaint(0, StatisticChartStyling.SAMPLE_DATA_FILL_PAINT);
    plot.setRenderer(confidenceDSIndex, identityRenderer);

    final DeviationRenderer regressionRenderer = new DeviationRenderer(true, false);
    regressionRenderer.setSeriesPaint(0, StatisticChartStyling.REGRESSION_DATA_PAINT);
    regressionRenderer.setSeriesFillPaint(0, StatisticChartStyling.REGRESSION_DATA_FILL_PAINT);
    plot.setRenderer(regressionDSIndex, regressionRenderer);

    final XYErrorRenderer scatterPointsRenderer = new XYErrorRenderer();
    scatterPointsRenderer.setDrawXError(true);
    scatterPointsRenderer.setErrorStroke(new BasicStroke(1));
    scatterPointsRenderer.setErrorPaint(StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT);
    scatterPointsRenderer.setSeriesShape(0, StatisticChartStyling.CORRELATIVE_POINT_SHAPE);
    scatterPointsRenderer.setSeriesOutlinePaint(0, StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT);
    scatterPointsRenderer.setSeriesFillPaint(0, StatisticChartStyling.CORRELATIVE_POINT_FILL_PAINT);
    scatterPointsRenderer.setSeriesLinesVisible(0, false);
    scatterPointsRenderer.setSeriesShapesVisible(0, true);
    scatterPointsRenderer.setSeriesOutlineStroke(0, new BasicStroke(1.0f));
    scatterPointsRenderer.setSeriesToolTipGenerator(0, (dataset, series, item) -> {
        final XYIntervalSeriesCollection collection = (XYIntervalSeriesCollection) dataset;
        final Comparable key = collection.getSeriesKey(series);
        final double xValue = collection.getXValue(series, item);
        final double endYValue = collection.getEndYValue(series, item);
        final double yValue = collection.getYValue(series, item);
        return String.format("%s: mean = %6.2f, sigma = %6.2f | %s: value = %6.2f", getRasterName(), yValue,
                endYValue - yValue, key, xValue);
    });/*from  ww  w. ja v  a2  s .  co  m*/
    plot.setRenderer(scatterpointsDSIndex, scatterPointsRenderer);

    final boolean autoRangeIncludesZero = false;
    final boolean xLog = scatterPlotModel.xAxisLogScaled;
    final boolean yLog = scatterPlotModel.yAxisLogScaled;
    plot.setDomainAxis(
            StatisticChartStyling.updateScalingOfAxis(xLog, plot.getDomainAxis(), autoRangeIncludesZero));
    plot.setRangeAxis(
            StatisticChartStyling.updateScalingOfAxis(yLog, plot.getRangeAxis(), autoRangeIncludesZero));

    createUI(createChartPanel(chart), createInputParameterPanel(), bindingContext);

    plot.getDomainAxis().addChangeListener(domainAxisChangeListener);
    scatterPlotDisplay.setMouseWheelEnabled(true);
    scatterPlotDisplay.setMouseZoomable(true);
}

From source file:org.esa.beam.timeseries.ui.graph.TimeSeriesGraphModel.java

private XYErrorRenderer createXYErrorRenderer() {
    final XYErrorRenderer renderer = new XYErrorRenderer();
    renderer.setDrawXError(false);//from  w w  w  .ja  v  a2 s.c  o m
    renderer.setDrawYError(false);
    renderer.setBaseLinesVisible(true);
    renderer.setAutoPopulateSeriesStroke(false);
    renderer.setAutoPopulateSeriesPaint(false);
    renderer.setAutoPopulateSeriesFillPaint(false);
    renderer.setAutoPopulateSeriesOutlinePaint(false);
    renderer.setAutoPopulateSeriesOutlineStroke(false);
    renderer.setAutoPopulateSeriesShape(false);
    final StandardXYToolTipGenerator tipGenerator;
    tipGenerator = new StandardXYToolTipGenerator("Value: {2}   Date: {1}", new SimpleDateFormat(),
            new DecimalFormat());
    renderer.setBaseToolTipGenerator(tipGenerator);
    return renderer;
}

From source file:org.esa.beam.visat.toolviews.stat.ScatterPlotPanel.java

private void createUI() {

    final XYPlot plot = getPlot();
    plot.setAxisOffset(new RectangleInsets(5, 5, 5, 5));
    plot.setNoDataMessage(NO_DATA_MESSAGE);
    plot.setDataset(CONFIDENCE_DSINDEX, acceptableDeviationDataset);
    plot.setDataset(REGRESSION_DSINDEX, regressionDataset);
    plot.setDataset(SCATTERPOINTS_DSINDEX, scatterpointsDataset);

    plot.addAnnotation(r2Annotation);

    final DeviationRenderer identityRenderer = new DeviationRenderer(true, false);
    identityRenderer.setSeriesPaint(0, StatisticChartStyling.SAMPLE_DATA_PAINT);
    identityRenderer.setSeriesFillPaint(0, StatisticChartStyling.SAMPLE_DATA_FILL_PAINT);
    plot.setRenderer(CONFIDENCE_DSINDEX, identityRenderer);

    final DeviationRenderer regressionRenderer = new DeviationRenderer(true, false);
    regressionRenderer.setSeriesPaint(0, StatisticChartStyling.REGRESSION_DATA_PAINT);
    regressionRenderer.setSeriesFillPaint(0, StatisticChartStyling.REGRESSION_DATA_FILL_PAINT);
    plot.setRenderer(REGRESSION_DSINDEX, regressionRenderer);

    final XYErrorRenderer scatterPointsRenderer = new XYErrorRenderer();
    scatterPointsRenderer.setDrawXError(true);
    scatterPointsRenderer.setErrorStroke(new BasicStroke(1));
    scatterPointsRenderer.setErrorPaint(StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT);
    scatterPointsRenderer.setSeriesShape(0, StatisticChartStyling.CORRELATIVE_POINT_SHAPE);
    scatterPointsRenderer.setSeriesOutlinePaint(0, StatisticChartStyling.CORRELATIVE_POINT_OUTLINE_PAINT);
    scatterPointsRenderer.setSeriesFillPaint(0, StatisticChartStyling.CORRELATIVE_POINT_FILL_PAINT);
    scatterPointsRenderer.setSeriesLinesVisible(0, false);
    scatterPointsRenderer.setSeriesShapesVisible(0, true);
    scatterPointsRenderer.setSeriesOutlineStroke(0, new BasicStroke(1.0f));
    scatterPointsRenderer.setSeriesToolTipGenerator(0, new XYToolTipGenerator() {
        @Override/*from www .  j a v a 2s .co m*/
        public String generateToolTip(XYDataset dataset, int series, int item) {
            final XYIntervalSeriesCollection collection = (XYIntervalSeriesCollection) dataset;
            final Comparable key = collection.getSeriesKey(series);
            final double xValue = collection.getXValue(series, item);
            final double endYValue = collection.getEndYValue(series, item);
            final double yValue = collection.getYValue(series, item);
            return String.format("%s: mean = %6.2f, sigma = %6.2f | %s: value = %6.2f", getRasterName(), yValue,
                    endYValue - yValue, key, xValue);
        }
    });
    plot.setRenderer(SCATTERPOINTS_DSINDEX, scatterPointsRenderer);

    final boolean autoRangeIncludesZero = false;
    final boolean xLog = scatterPlotModel.xAxisLogScaled;
    final boolean yLog = scatterPlotModel.yAxisLogScaled;
    plot.setDomainAxis(
            StatisticChartStyling.updateScalingOfAxis(xLog, plot.getDomainAxis(), autoRangeIncludesZero));
    plot.setRangeAxis(
            StatisticChartStyling.updateScalingOfAxis(yLog, plot.getRangeAxis(), autoRangeIncludesZero));

    createUI(createChartPanel(chart), createInputParameterPanel(), bindingContext);

    plot.getDomainAxis().addChangeListener(domainAxisChangeListener);
    scatterPlotDisplay.setMouseWheelEnabled(true);
    scatterPlotDisplay.setMouseZoomable(true);
}

From source file:weka.classifiers.timeseries.eval.graph.JFreeChartDriver.java

protected JFreeChart getFutureForecastChart(TSForecaster forecaster, List<List<NumericPrediction>> preds,
        List<String> targetNames, Instances history) {

    if (forecaster instanceof TSLagUser && history != null) {
        TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker();
        if (lagMaker.getAdjustForTrends() && !lagMaker.isUsingAnArtificialTimeIndex()) {

            // fill in any missing time stamps only
            history = new Instances(history);
            history = weka.classifiers.timeseries.core.Utils.replaceMissing(history, null,
                    lagMaker.getTimeStampField(), true, lagMaker.getPeriodicity(), lagMaker.getSkipEntries());
        }/*from w ww .j  ava 2s  .c  om*/
    }

    // set up a collection of series
    XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection();

    if (history != null) {
        // add actual historical data values
        for (String targetName : targetNames) {
            XYIntervalSeries targetSeries = new XYIntervalSeries(targetName, false, false);
            xyDataset.addSeries(targetSeries);
        }
    }

    // add predicted series
    for (String targetName : targetNames) {
        XYIntervalSeries targetSeries = new XYIntervalSeries(targetName + "-predicted", false, false);
        xyDataset.addSeries(targetSeries);
    }

    ValueAxis timeAxis = null;
    NumberAxis valueAxis = new NumberAxis("");
    valueAxis.setAutoRangeIncludesZero(false);
    int timeIndex = -1;
    boolean timeAxisIsDate = false;
    double artificialTimeStart = 0;
    double lastRealTimeValue = Utils.missingValue();
    if (forecaster instanceof TSLagUser && history != null) {
        TSLagMaker lagMaker = ((TSLagUser) forecaster).getTSLagMaker();
        if (!lagMaker.isUsingAnArtificialTimeIndex() && lagMaker.getAdjustForTrends()) {
            String timeName = lagMaker.getTimeStampField();
            if (history.attribute(timeName).isDate()) {
                timeAxis = new DateAxis("");
                timeAxisIsDate = true;
                timeIndex = history.attribute(timeName).index();
            }
        } else {
            try {
                artificialTimeStart = (history != null) ? 1 : lagMaker.getArtificialTimeStartValue() + 1;
            } catch (Exception ex) {
            }
        }
    }

    if (timeAxis == null) {
        timeAxis = new NumberAxis("");
        ((NumberAxis) timeAxis).setAutoRangeIncludesZero(false);
    }

    boolean hasConfidenceIntervals = false;

    // now populate the series
    if (history != null) {

        // do the actuals first
        for (int i = 0; i < history.numInstances(); i++) {
            Instance current = history.instance(i);

            for (String targetName : targetNames) {
                int dataIndex = history.attribute(targetName.trim()).index();

                if (dataIndex >= 0) {
                    XYIntervalSeries actualSeries = null;
                    int actualIndex = xyDataset.indexOf(targetName);
                    actualSeries = xyDataset.getSeries(actualIndex);
                    double x = Utils.missingValue();

                    if (timeAxisIsDate) {
                        x = current.value(timeIndex);
                        if (!Utils.isMissingValue(x)) {
                            lastRealTimeValue = x;
                        }
                    } else {
                        x = artificialTimeStart;
                    }

                    double y = Utils.missingValue();
                    y = current.value(dataIndex);

                    if (!Utils.isMissingValue(x) && !Utils.isMissingValue(y)) {
                        if (actualSeries != null) {
                            actualSeries.add(x, x, x, y, y, y);
                        }
                    }
                }
            }

            if (!timeAxisIsDate) {
                artificialTimeStart++;
            }
        }
    }

    // now do the futures
    List<String> forecasterTargets = AbstractForecaster.stringToList(forecaster.getFieldsToForecast());

    // loop over the steps
    for (int j = 0; j < preds.size(); j++) {
        List<NumericPrediction> predsForStepJ = preds.get(j);

        // advance the real time index (if appropriate)
        if (timeAxisIsDate) {
            lastRealTimeValue = ((TSLagUser) forecaster).getTSLagMaker()
                    .advanceSuppliedTimeValue(lastRealTimeValue);
        }
        for (String targetName : targetNames) {

            // look up this requested target in the list that the forecaster
            // has predicted
            int predIndex = forecasterTargets.indexOf(targetName.trim());
            if (predIndex >= 0) {
                NumericPrediction predsForTargetAtStepJ = predsForStepJ.get(predIndex);
                XYIntervalSeries predSeries = null;
                int datasetIndex = xyDataset.indexOf(targetName + "-predicted");
                predSeries = xyDataset.getSeries(datasetIndex);

                if (predSeries != null) {
                    double y = predsForTargetAtStepJ.predicted();
                    double x = Utils.missingValue();
                    double yHigh = y;
                    double yLow = y;
                    double[][] conf = predsForTargetAtStepJ.predictionIntervals();
                    if (conf.length > 0) {
                        yLow = conf[0][0];
                        yHigh = conf[0][1];
                        hasConfidenceIntervals = true;
                    }

                    if (!timeAxisIsDate) {
                        x = artificialTimeStart;
                    } else {
                        x = lastRealTimeValue;
                    }

                    if (!Utils.isMissingValue(x) && !Utils.isMissingValue(y)) {
                        predSeries.add(x, x, x, y, yLow, yHigh);
                    }
                }
            }
        }

        // advance the artificial time index (if appropriate)
        if (!timeAxisIsDate) {
            artificialTimeStart++;
        }
    }

    String title = "Future forecast for: ";
    for (String s : targetNames) {
        title += s + ",";
    }
    title = title.substring(0, title.lastIndexOf(","));

    /*
     * String algoSpec = forecaster.getAlgorithmName(); title += " (" + algoSpec
     * + ")";
     */

    if (forecaster instanceof WekaForecaster && hasConfidenceIntervals) {
        double confPerc = ((WekaForecaster) forecaster).getConfidenceLevel() * 100.0;
        title += " [" + Utils.doubleToString(confPerc, 0) + "% conf. intervals]";
    }

    XYErrorRenderer renderer = new XYErrorRenderer();

    // renderer.setShapesFilled(true);
    XYPlot plot = new XYPlot(xyDataset, timeAxis, valueAxis, renderer);
    // renderer = (XYErrorRenderer)plot.getRenderer();
    if (history != null) {
        for (String targetName : targetNames) {
            XYIntervalSeries predSeries = null;
            int predIndex = xyDataset.indexOf(targetName + "-predicted");
            predSeries = xyDataset.getSeries(predIndex);

            XYIntervalSeries actualSeries = null;
            int actualIndex = xyDataset.indexOf(targetName);
            actualSeries = xyDataset.getSeries(actualIndex);

            if (actualSeries != null && predSeries != null) {
                // match the color of the actual series
                java.awt.Paint actualPaint = renderer.lookupSeriesPaint(actualIndex);
                renderer.setSeriesPaint(predIndex, actualPaint);

                // now set the line style to dashed
                BasicStroke dashed = new BasicStroke(1.5f, BasicStroke.CAP_BUTT, BasicStroke.JOIN_MITER, 10.0f,
                        new float[] { 5.0f }, 0.0f);

                renderer.setSeriesStroke(predIndex, dashed);
            }
        }
    }

    renderer.setBaseLinesVisible(true);
    renderer.setDrawXError(false);
    renderer.setDrawYError(true);

    JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, true);
    chart.setBackgroundPaint(java.awt.Color.white);
    TextTitle chartTitle = chart.getTitle();
    String fontName = chartTitle.getFont().getFontName();
    java.awt.Font newFont = new java.awt.Font(fontName, java.awt.Font.PLAIN, 12);
    chartTitle.setFont(newFont);

    return chart;
}

From source file:weka.gui.beans.JFreeChartOffscreenChartRenderer.java

/**
 * Render an XY scatter plot//from   www. j a v  a2  s . co  m
 * 
 * @param width the width of the resulting chart in pixels
 * @param height the height of the resulting chart in pixels
 * @param series a list of Instances - one for each series to be plotted
 * @param xAxis the name of the attribute for the x-axis (all series Instances
 *          are expected to have an attribute of the same type with this name)
 * @param yAxis the name of the attribute for the y-axis (all series Instances
 *          are expected to have an attribute of the same type with this name)
 * @param optionalArgs optional arguments to the renderer (may be null)
 * 
 * @return a BufferedImage containing the chart
 * @throws Exception if there is a problem rendering the chart
 */
public BufferedImage renderXYScatterPlot(int width, int height, List<Instances> series, String xAxis,
        String yAxis, List<String> optionalArgs) throws Exception {

    String plotTitle = "Scatter Plot";
    String userTitle = getOption(optionalArgs, "-title");
    plotTitle = (userTitle != null) ? userTitle : plotTitle;
    String colorAtt = getOption(optionalArgs, "-color");

    if (series.size() == 1 && colorAtt != null && colorAtt.length() > 0) {
        int colIndex = getIndexOfAttribute(series.get(0), colorAtt);
        if (colIndex >= 0 && series.get(0).attribute(colIndex).isNominal()) {
            // split single series out into multiple instances objects - one
            // per class
            series = splitToClasses(series.get(0), colIndex);
            for (Instances insts : series) {
                insts.setClassIndex(colIndex);
            }
        }
    }

    Instances masterInstances = series.get(0);
    int xAx = getIndexOfAttribute(masterInstances, xAxis);
    int yAx = getIndexOfAttribute(masterInstances, yAxis);
    if (xAx < 0) {
        xAx = 0;
    }
    if (yAx < 0) {
        yAx = 0;
    }

    // Set the axis names just in case we've been supplied with
    // /first, /last or /<num>
    xAxis = masterInstances.attribute(xAx).name();
    yAxis = masterInstances.attribute(yAx).name();

    // look for an additional attribute that stores the
    // shape sizes - could be either nominal or numeric errors.
    // We only use numeric error information
    String shapeSize = getOption(optionalArgs, "-shapeSize");

    boolean nominalClass = (masterInstances.classIndex() >= 0 && masterInstances.classAttribute().isNominal());

    int shapeSizeI = -1;
    if (shapeSize != null && shapeSize.length() > 0) {
        shapeSizeI = getIndexOfAttribute(masterInstances, shapeSize);
    }

    AbstractIntervalXYDataset xyDataset = null;

    if (shapeSizeI < 0 || nominalClass) {
        xyDataset = new XYSeriesCollection();
    } else {
        xyDataset = new XYIntervalSeriesCollection();
    }
    // add master series
    Series master = null;

    if (shapeSizeI < 0 || nominalClass) {
        master = new XYSeries(masterInstances.relationName());
    } else {
        master = new XYIntervalSeries(masterInstances.relationName());
    }
    AttributeStats xStats = masterInstances.attributeStats(xAx);
    AttributeStats yStats = masterInstances.attributeStats(yAx);
    double sizeRange = 0;
    double sizeMin = 0;
    if (shapeSizeI >= 0 && !nominalClass) {
        AttributeStats sStats = masterInstances.attributeStats(shapeSizeI);
        sizeRange = sStats.numericStats.max - sStats.numericStats.min;
        sizeMin = sStats.numericStats.min;
    }
    double xRange = 0;
    if (masterInstances.attribute(xAx).isNominal()) {
        xRange = masterInstances.attribute(xAx).numValues();
    } else {
        xRange = xStats.numericStats.max - xStats.numericStats.min;
    }
    double yRange = 0;
    if (masterInstances.attribute(yAx).isNominal()) {
        xRange = masterInstances.attribute(yAx).numValues();
    } else {
        yRange = yStats.numericStats.max - yStats.numericStats.min;
    }
    for (int i = 0; i < masterInstances.numInstances(); i++) {
        Instance inst = masterInstances.instance(i);
        if (!inst.isMissing(xAx) && !inst.isMissing(yAx)) {
            if (shapeSizeI < 0 || nominalClass) {
                ((XYSeries) master).add(inst.value(xAx), inst.value(yAx));
            } else {
                double xBar = (inst.value(shapeSizeI) - sizeMin) / sizeRange;
                xBar *= (xRange / 5.0); // max of 1/5th the x range
                double yBar = (inst.value(shapeSizeI) - sizeMin) / sizeRange;
                yBar *= (yRange / 5.0);
                double x = inst.value(xAx);
                double y = inst.value(yAx);
                ((XYIntervalSeries) master).add(x, x - (xBar / 2.0), x + (xBar / 2.0), y, y - (yBar / 2.0),
                        y + (yBar / 2.0));
            }
        }
    }

    if (shapeSizeI < 0 || nominalClass) {
        ((XYSeriesCollection) xyDataset).addSeries((XYSeries) master);
    } else {
        ((XYIntervalSeriesCollection) xyDataset).addSeries((XYIntervalSeries) master);
    }

    // remaining series
    for (int i = 1; i < series.size(); i++) {
        Instances aSeriesI = series.get(i);
        Series aSeriesJ = null;
        if (shapeSizeI < 0 || nominalClass) {
            aSeriesJ = new XYSeries(aSeriesI.relationName());
        } else {
            aSeriesJ = new XYIntervalSeries(aSeriesI.relationName());
        }
        for (int j = 0; j < aSeriesI.numInstances(); j++) {
            Instance inst = aSeriesI.instance(j);
            if (!inst.isMissing(xAx) && !inst.isMissing(yAx)) {
                if (shapeSizeI < 0 || nominalClass) {
                    ((XYSeries) aSeriesJ).add(inst.value(xAx), inst.value(yAx));
                } else {
                    double xBar = (inst.value(shapeSizeI) - sizeMin) / sizeRange;
                    xBar *= (xRange / 5.0); // max of 1/10th the x range
                    double yBar = (inst.value(shapeSizeI) - sizeMin) / sizeRange;
                    yBar *= (yRange / 5.0);
                    double x = inst.value(xAx);
                    double y = inst.value(yAx);
                    ((XYIntervalSeries) aSeriesJ).add(x, x - (xBar / 2.0), x + (xBar / 2.0), y,
                            y - (yBar / 2.0), y + (yBar / 2.0));
                }
            }
        }

        if (shapeSizeI < 0 || nominalClass) {
            ((XYSeriesCollection) xyDataset).addSeries((XYSeries) aSeriesJ);
        } else {
            ((XYIntervalSeriesCollection) xyDataset).addSeries((XYIntervalSeries) aSeriesJ);
        }
    }

    JFreeChart chart = ChartFactory.createXYLineChart(plotTitle, xAxis, yAxis, xyDataset,
            PlotOrientation.VERTICAL, true, false, false);
    chart.setBackgroundPaint(java.awt.Color.white);
    XYPlot plot = (XYPlot) chart.getPlot();
    if (shapeSizeI < 0 || nominalClass) {
        XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(false, true);
        renderer.setBaseShapesFilled(false);
        plot.setRenderer(renderer);
    } else {
        XYErrorRenderer renderer = new XYErrorRenderer();
        renderer.setDrawXError(true);
        renderer.setDrawYError(true);
        renderer.setBaseLinesVisible(false);
        plot.setRenderer(renderer);
    }

    BufferedImage image = chart.createBufferedImage(width, height);

    return image;
}