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

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

Introduction

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

Prototype

public Paint lookupSeriesPaint(int series) 

Source Link

Document

Returns the paint used to color an item drawn by the renderer.

Usage

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 a v a 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;
}