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

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

Introduction

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

Prototype

public void setDrawYError(boolean draw) 

Source Link

Document

Sets the flag that controls whether or not the renderer draws error bars for the y-values and, if the flag changes, sends a RendererChangeEvent to all registered listeners.

Usage

From source file:graph.jfreecharts.GraphFunction.java

/**
 * A custom xyerror renderer because jfreecharts does not
 * have it supported in the api.//w  w  w.j  a v a  2s .  c o  m
 * @param title the graph title
 * @param xAxisLabel the xaxis title
 * @param yAxisLabel the yaxis title
 * @param dataset the xydataset
 * @param orientation the plot orientation
 * @param legend true to turn on legend
 * @param tooltips true to turn on tooltips (the pop up when right click)
 * @param urls // no idea what this is for
 * @return
 */
private static JFreeChart createXYIntervalChart(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);
    xAxis.setAutoRangeIncludesZero(false);
    NumberAxis yAxis = new NumberAxis(yAxisLabel);
    XYErrorRenderer renderer = new XYErrorRenderer();

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

    xAxis.setNumberFormatOverride(new DecimalFormat("0.######E0"));
    yAxis.setNumberFormatOverride(new DecimalFormat("0.######E0"));

    xAxis.setAutoRangeIncludesZero(false);
    yAxis.setAutoRangeIncludesZero(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);
    currentTheme.apply(chart);
    return chart;

}

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

/**
 * Creates a line chart (based on an {@link XYDataset}) with default
 * settings./*  w w  w .ja va  2  s .  c o  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:org.gumtree.vis.awt.PlotFactory.java

/**
 * Creates a line chart (based on an {@link XYDataset}) with default
 * settings.//w w w .  j  a  v  a 2 s  . c  o 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.
 */
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:org.esa.beam.timeseries.ui.graph.TimeSeriesGraphModel.java

private XYErrorRenderer createXYErrorRenderer() {
    final XYErrorRenderer renderer = new XYErrorRenderer();
    renderer.setDrawXError(false);// ww w. j  ava2 s .com
    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:weka.classifiers.timeseries.eval.graph.JFreeChartDriver.java

protected JFreeChart getPredictedTargetsChart(TSForecaster forecaster, ErrorModule preds,
        List<String> targetNames, int stepNumber, 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());
        }/*  www .  j  ava 2  s  .  c  om*/
    }

    // set up a collection of predicted and actual series
    XYIntervalSeriesCollection xyDataset = new XYIntervalSeriesCollection();
    for (String target : targetNames) {
        XYIntervalSeries targetSeries = new XYIntervalSeries(target + "-actual", false, false);
        xyDataset.addSeries(targetSeries);
        targetSeries = new XYIntervalSeries(target + "-predicted", 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
    boolean hasConfidenceIntervals = false;
    for (int i = 0; i < targetNames.size(); i++) {
        String targetName = targetNames.get(i);
        List<NumericPrediction> predsForI = preds.getPredictionsForTarget(targetName);
        int predIndex = xyDataset.indexOf(targetName + "-predicted");
        int actualIndex = xyDataset.indexOf(targetName + "-actual");
        XYIntervalSeries predSeries = xyDataset.getSeries(predIndex);
        XYIntervalSeries actualSeries = xyDataset.getSeries(actualIndex);

        for (int j = 0; j < predsForI.size(); j++) {
            double x = Utils.missingValue();
            if (timeAxisIsDate) {
                if (instanceNumOffset + j + stepNumber - 1 < data.numInstances()) {
                    x = data.instance(instanceNumOffset + j + stepNumber - 1).value(timeIndex);
                }
            } else {
                x = instanceNumOffset + j + stepNumber;
            }

            double yPredicted = predsForI.get(j).predicted();
            double yHigh = yPredicted;
            double yLow = yPredicted;
            double[][] conf = predsForI.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);
            }

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

    // set up the chart
    String title = "" + stepNumber + " step-ahead predictions 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.setBaseLinesVisible(true);
    renderer.setDrawXError(false);
    renderer.setDrawYError(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: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());
        }//ww w  . j  av a  2 s  . co  m
    }

    // 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;
}