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

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

Introduction

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

Prototype

public void mapDatasetToDomainAxis(int index, int axisIndex) 

Source Link

Document

Maps a dataset to a particular domain axis.

Usage

From source file:org.locationtech.udig.processingtoolbox.tools.ScatterPlotDialog.java

private void updateChart(SimpleFeatureCollection features, String xField, String yField) {
    // 1. Create a single plot containing both the scatter and line
    XYPlot plot = new XYPlot();
    plot.setOrientation(PlotOrientation.VERTICAL);
    plot.setBackgroundPaint(java.awt.Color.WHITE);
    plot.setDomainPannable(false);//from   w  ww  . jav a2 s . c o  m
    plot.setRangePannable(false);
    plot.setSeriesRenderingOrder(SeriesRenderingOrder.FORWARD);

    plot.setDomainCrosshairVisible(false);
    plot.setRangeCrosshairVisible(false);
    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));

    // 2. Setup Scatter plot
    // Create the scatter data, renderer, and axis
    int fontStyle = java.awt.Font.BOLD;
    FontData fontData = getShell().getDisplay().getSystemFont().getFontData()[0];
    NumberAxis xPlotAxis = new NumberAxis(xField); // Independent variable
    xPlotAxis.setLabelFont(new Font(fontData.getName(), fontStyle, 12));
    xPlotAxis.setTickLabelFont(new Font(fontData.getName(), fontStyle, 10));

    NumberAxis yPlotAxis = new NumberAxis(yField); // Dependent variable
    yPlotAxis.setLabelFont(new Font(fontData.getName(), fontStyle, 12));
    yPlotAxis.setTickLabelFont(new Font(fontData.getName(), fontStyle, 10));

    XYToolTipGenerator plotToolTip = new StandardXYToolTipGenerator();

    XYItemRenderer plotRenderer = new XYLineAndShapeRenderer(false, true); // Shapes only
    plotRenderer.setSeriesShape(0, new Ellipse2D.Double(0, 0, 3, 3));
    plotRenderer.setSeriesPaint(0, java.awt.Color.BLUE); // dot
    plotRenderer.setBaseToolTipGenerator(plotToolTip);

    // Set the scatter data, renderer, and axis into plot
    plot.setDataset(0, getScatterPlotData(features, xField, yField));

    xPlotAxis.setAutoRangeIncludesZero(false);
    xPlotAxis.setAutoRange(false);
    double differUpper = minMaxVisitor.getMaxX() - minMaxVisitor.getAverageX();
    double differLower = minMaxVisitor.getAverageX() - minMaxVisitor.getMinX();
    double gap = Math.abs(differUpper - differLower);
    if (differUpper > differLower) {
        xPlotAxis.setRange(minMaxVisitor.getMinX() - gap, minMaxVisitor.getMaxX());
    } else {
        xPlotAxis.setRange(minMaxVisitor.getMinX(), minMaxVisitor.getMaxX() + gap);
    }

    yPlotAxis.setAutoRangeIncludesZero(false);
    yPlotAxis.setAutoRange(false);
    differUpper = minMaxVisitor.getMaxY() - minMaxVisitor.getAverageY();
    differLower = minMaxVisitor.getAverageY() - minMaxVisitor.getMinY();
    gap = Math.abs(differUpper - differLower);
    if (differUpper > differLower) {
        yPlotAxis.setRange(minMaxVisitor.getMinY() - gap, minMaxVisitor.getMaxY());
    } else {
        yPlotAxis.setRange(minMaxVisitor.getMinY(), minMaxVisitor.getMaxY() + gap);
    }

    plot.setRenderer(0, plotRenderer);
    plot.setDomainAxis(0, xPlotAxis);
    plot.setRangeAxis(0, yPlotAxis);

    // Map the scatter to the first Domain and first Range
    plot.mapDatasetToDomainAxis(0, 0);
    plot.mapDatasetToRangeAxis(0, 0);

    // 3. Setup line
    // Create the line data, renderer, and axis
    XYItemRenderer lineRenderer = new XYLineAndShapeRenderer(true, false); // Lines only
    lineRenderer.setSeriesPaint(0, java.awt.Color.GRAY);
    lineRenderer.setSeriesPaint(1, java.awt.Color.GRAY);
    lineRenderer.setSeriesPaint(2, java.awt.Color.GRAY);

    // Set the line data, renderer, and axis into plot
    NumberAxis xLineAxis = new NumberAxis(EMPTY);
    xLineAxis.setTickMarksVisible(false);
    xLineAxis.setTickLabelsVisible(false);

    NumberAxis yLineAxis = new NumberAxis(EMPTY);
    yLineAxis.setTickMarksVisible(false);
    yLineAxis.setTickLabelsVisible(false);

    XYSeriesCollection lineDataset = new XYSeriesCollection();

    // AverageY
    XYSeries horizontal = new XYSeries("AverageY"); //$NON-NLS-1$
    horizontal.add(xPlotAxis.getRange().getLowerBound(), minMaxVisitor.getAverageY());
    horizontal.add(xPlotAxis.getRange().getUpperBound(), minMaxVisitor.getAverageY());
    lineDataset.addSeries(horizontal);

    // AverageX
    XYSeries vertical = new XYSeries("AverageX"); //$NON-NLS-1$
    vertical.add(minMaxVisitor.getAverageX(), yPlotAxis.getRange().getLowerBound());
    vertical.add(minMaxVisitor.getAverageX(), yPlotAxis.getRange().getUpperBound());
    lineDataset.addSeries(vertical);

    // Degree
    XYSeries degree = new XYSeries("Deegree"); //$NON-NLS-1$
    degree.add(xPlotAxis.getRange().getLowerBound(), yPlotAxis.getRange().getLowerBound());
    degree.add(xPlotAxis.getRange().getUpperBound(), yPlotAxis.getRange().getUpperBound());
    lineDataset.addSeries(degree);

    plot.setDataset(1, lineDataset);
    plot.setRenderer(1, lineRenderer);
    plot.setDomainAxis(1, xLineAxis);
    plot.setRangeAxis(1, yLineAxis);

    // Map the line to the second Domain and second Range
    plot.mapDatasetToDomainAxis(1, 0);
    plot.mapDatasetToRangeAxis(1, 0);

    // 4. Setup Selection
    NumberAxis xSelectionAxis = new NumberAxis(EMPTY);
    xSelectionAxis.setTickMarksVisible(false);
    xSelectionAxis.setTickLabelsVisible(false);

    NumberAxis ySelectionAxis = new NumberAxis(EMPTY);
    ySelectionAxis.setTickMarksVisible(false);
    ySelectionAxis.setTickLabelsVisible(false);

    XYItemRenderer selectionRenderer = new XYLineAndShapeRenderer(false, true); // Shapes only
    selectionRenderer.setSeriesShape(0, new Ellipse2D.Double(0, 0, 6, 6));
    selectionRenderer.setSeriesPaint(0, java.awt.Color.RED); // dot

    plot.setDataset(2, new XYSeriesCollection(new XYSeries(EMPTY)));
    plot.setRenderer(2, selectionRenderer);
    plot.setDomainAxis(2, xSelectionAxis);
    plot.setRangeAxis(2, ySelectionAxis);

    // Map the scatter to the second Domain and second Range
    plot.mapDatasetToDomainAxis(2, 0);
    plot.mapDatasetToRangeAxis(2, 0);

    // 5. Finally, Create the chart with the plot and a legend
    java.awt.Font titleFont = new Font(fontData.getName(), fontStyle, 20);
    JFreeChart chart = new JFreeChart(EMPTY, titleFont, plot, false);
    chart.setBackgroundPaint(java.awt.Color.WHITE);
    chart.setBorderVisible(false);

    chartComposite.setChart(chart);
    chartComposite.forceRedraw();
}

From source file:org.locationtech.udig.processingtoolbox.tools.BubbleChartDialog.java

private void updateChart(SimpleFeatureCollection features, String xField, String yField, String sizeField) {
    // 1. Create a single plot containing both the scatter and line
    XYPlot plot = new XYPlot();
    plot.setOrientation(PlotOrientation.VERTICAL);
    plot.setBackgroundPaint(java.awt.Color.WHITE);
    plot.setDomainPannable(false);//  ww  w . j ava  2s  .  c  o  m
    plot.setRangePannable(false);
    plot.setSeriesRenderingOrder(SeriesRenderingOrder.FORWARD);

    plot.setDomainCrosshairVisible(false);
    plot.setRangeCrosshairVisible(false);
    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));
    plot.setForegroundAlpha(0.75f);

    // 2. Setup Scatter plot
    // Create the bubble chart data, renderer, and axis
    int fontStyle = java.awt.Font.BOLD;
    FontData fontData = getShell().getDisplay().getSystemFont().getFontData()[0];
    NumberAxis xPlotAxis = new NumberAxis(xField); // Independent variable
    xPlotAxis.setLabelFont(new Font(fontData.getName(), fontStyle, 12));
    xPlotAxis.setTickLabelFont(new Font(fontData.getName(), fontStyle, 10));

    NumberAxis yPlotAxis = new NumberAxis(yField); // Dependent variable
    yPlotAxis.setLabelFont(new Font(fontData.getName(), fontStyle, 12));
    yPlotAxis.setTickLabelFont(new Font(fontData.getName(), fontStyle, 10));

    XYItemRenderer plotRenderer = new XYBubbleRenderer(XYBubbleRenderer.SCALE_ON_RANGE_AXIS);
    plotRenderer.setSeriesPaint(0, java.awt.Color.ORANGE); // dot
    plotRenderer.setBaseItemLabelGenerator(new BubbleXYItemLabelGenerator());
    plotRenderer.setBaseToolTipGenerator(new StandardXYZToolTipGenerator());
    plotRenderer
            .setBasePositiveItemLabelPosition(new ItemLabelPosition(ItemLabelAnchor.CENTER, TextAnchor.CENTER));

    // Set the bubble chart data, renderer, and axis into plot
    plot.setDataset(0, getBubbleChartData(features, xField, yField, sizeField));

    xPlotAxis.setAutoRangeIncludesZero(false);
    xPlotAxis.setAutoRange(false);
    double differUpper = minMaxVisitor.getMaxX() - minMaxVisitor.getAverageX();
    double differLower = minMaxVisitor.getAverageX() - minMaxVisitor.getMinX();
    double gap = Math.abs(differUpper - differLower);
    if (differUpper > differLower) {
        xPlotAxis.setRange(minMaxVisitor.getMinX() - gap, minMaxVisitor.getMaxX());
    } else {
        xPlotAxis.setRange(minMaxVisitor.getMinX(), minMaxVisitor.getMaxX() + gap);
    }

    yPlotAxis.setAutoRangeIncludesZero(false);
    yPlotAxis.setAutoRange(false);
    differUpper = minMaxVisitor.getMaxY() - minMaxVisitor.getAverageY();
    differLower = minMaxVisitor.getAverageY() - minMaxVisitor.getMinY();
    gap = Math.abs(differUpper - differLower);
    if (differUpper > differLower) {
        yPlotAxis.setRange(minMaxVisitor.getMinY() - gap, minMaxVisitor.getMaxY());
    } else {
        yPlotAxis.setRange(minMaxVisitor.getMinY(), minMaxVisitor.getMaxY() + gap);
    }

    plot.setRenderer(0, plotRenderer);
    plot.setDomainAxis(0, xPlotAxis);
    plot.setRangeAxis(0, yPlotAxis);

    // Map the scatter to the first Domain and first Range
    plot.mapDatasetToDomainAxis(0, 0);
    plot.mapDatasetToRangeAxis(0, 0);

    // 3. Setup line
    // Create the line data, renderer, and axis
    XYItemRenderer lineRenderer = new XYLineAndShapeRenderer(true, false); // Lines only
    lineRenderer.setSeriesPaint(0, java.awt.Color.GRAY);
    lineRenderer.setSeriesPaint(1, java.awt.Color.GRAY);
    lineRenderer.setSeriesPaint(2, java.awt.Color.GRAY);

    // Set the line data, renderer, and axis into plot
    NumberAxis xLineAxis = new NumberAxis(EMPTY);
    xLineAxis.setTickMarksVisible(false);
    xLineAxis.setTickLabelsVisible(false);

    NumberAxis yLineAxis = new NumberAxis(EMPTY);
    yLineAxis.setTickMarksVisible(false);
    yLineAxis.setTickLabelsVisible(false);

    XYSeriesCollection lineDataset = new XYSeriesCollection();

    // AverageY
    XYSeries horizontal = new XYSeries("AverageY"); //$NON-NLS-1$
    horizontal.add(xPlotAxis.getRange().getLowerBound(), minMaxVisitor.getAverageY());
    horizontal.add(xPlotAxis.getRange().getUpperBound(), minMaxVisitor.getAverageY());
    lineDataset.addSeries(horizontal);

    // AverageX
    XYSeries vertical = new XYSeries("AverageX"); //$NON-NLS-1$
    vertical.add(minMaxVisitor.getAverageX(), yPlotAxis.getRange().getLowerBound());
    vertical.add(minMaxVisitor.getAverageX(), yPlotAxis.getRange().getUpperBound());
    lineDataset.addSeries(vertical);

    plot.setDataset(1, lineDataset);
    plot.setRenderer(1, lineRenderer);
    plot.setDomainAxis(1, xLineAxis);
    plot.setRangeAxis(1, yLineAxis);

    // Map the line to the second Domain and second Range
    plot.mapDatasetToDomainAxis(1, 0);
    plot.mapDatasetToRangeAxis(1, 0);

    // 4. Setup Selection
    NumberAxis xSelectionAxis = new NumberAxis(EMPTY);
    xSelectionAxis.setTickMarksVisible(false);
    xSelectionAxis.setTickLabelsVisible(false);

    NumberAxis ySelectionAxis = new NumberAxis(EMPTY);
    ySelectionAxis.setTickMarksVisible(false);
    ySelectionAxis.setTickLabelsVisible(false);

    XYItemRenderer selectionRenderer = new XYBubbleRenderer(XYBubbleRenderer.SCALE_ON_RANGE_AXIS);
    selectionRenderer.setSeriesPaint(0, java.awt.Color.RED); // dot
    selectionRenderer.setSeriesOutlinePaint(0, java.awt.Color.RED);

    plot.setDataset(2, new DefaultXYZDataset2());
    plot.setRenderer(2, selectionRenderer);
    plot.setDomainAxis(2, xSelectionAxis);
    plot.setRangeAxis(2, ySelectionAxis);

    // Map the scatter to the second Domain and second Range
    plot.mapDatasetToDomainAxis(2, 0);
    plot.mapDatasetToRangeAxis(2, 0);

    // 5. Finally, Create the chart with the plot and a legend
    java.awt.Font titleFont = new Font(fontData.getName(), fontStyle, 20);
    JFreeChart chart = new JFreeChart(EMPTY, titleFont, plot, false);
    chart.setBackgroundPaint(java.awt.Color.WHITE);
    chart.setBorderVisible(false);

    chartComposite.setChart(chart);
    chartComposite.forceRedraw();
}

From source file:org.locationtech.udig.processingtoolbox.tools.HistogramDialog.java

private void updateChart(SimpleFeatureCollection features, String field) {
    int bin = spinner.getSelection();

    double[] values = getValues(features, field);
    HistogramDataset dataset = new HistogramDataset();
    dataset.addSeries(field, values, bin, minMaxVisitor.getMinX(), minMaxVisitor.getMaxX());
    dataset.setType(histogramType);// w  ww  . jav  a 2  s .com

    JFreeChart chart = ChartFactory.createHistogram(EMPTY, null, null, dataset, PlotOrientation.VERTICAL, false,
            false, false);

    // 1. Create a single plot containing both the scatter and line
    chart.setBackgroundPaint(java.awt.Color.WHITE);
    chart.setBorderVisible(false);

    XYPlot plot = (XYPlot) chart.getPlot();
    plot.setForegroundAlpha(0.85F);
    plot.setBackgroundPaint(java.awt.Color.WHITE);
    plot.setOrientation(PlotOrientation.VERTICAL);

    plot.setDomainGridlinePaint(java.awt.Color.LIGHT_GRAY);
    plot.setRangeGridlinePaint(java.awt.Color.LIGHT_GRAY);

    int fontStyle = java.awt.Font.BOLD;
    FontData fontData = getShell().getDisplay().getSystemFont().getFontData()[0];

    NumberAxis valueAxis = new NumberAxis(cboField.getText());
    valueAxis.setLabelFont(new Font(fontData.getName(), fontStyle, 12));
    valueAxis.setTickLabelFont(new Font(fontData.getName(), fontStyle, 10));

    valueAxis.setAutoRange(false);
    valueAxis.setRange(minMaxVisitor.getMinX(), minMaxVisitor.getMaxX());

    String rangeAxisLabel = histogramType == HistogramType.FREQUENCY ? "Frequency" : "Ratio"; //$NON-NLS-1$ //$NON-NLS-2$
    NumberAxis rangeAxis = new NumberAxis(rangeAxisLabel);
    rangeAxis.setLabelFont(new Font(fontData.getName(), fontStyle, 12));
    rangeAxis.setTickLabelFont(new Font(fontData.getName(), fontStyle, 10));
    if (histogramType == HistogramType.FREQUENCY) {
        rangeAxis.setStandardTickUnits(NumberAxis.createIntegerTickUnits());
    }

    XYBarRenderer renderer = (XYBarRenderer) plot.getRenderer();
    renderer.setShadowVisible(false);
    CustomXYBarPainter.selectedColumn = -1; // init
    renderer.setBarPainter(new CustomXYBarPainter());
    renderer.setAutoPopulateSeriesFillPaint(true);
    renderer.setAutoPopulateSeriesPaint(true);
    renderer.setShadowXOffset(3);
    renderer.setMargin(0.01);
    renderer.setBaseItemLabelsVisible(true);

    ItemLabelPosition pos = new ItemLabelPosition(ItemLabelAnchor.CENTER, TextAnchor.TOP_CENTER);
    renderer.setBasePositiveItemLabelPosition(pos);

    XYToolTipGenerator plotToolTip = new StandardXYToolTipGenerator();
    renderer.setBaseToolTipGenerator(plotToolTip);

    // color
    GradientPaint gp0 = new GradientPaint(0.0f, 0.0f, java.awt.Color.GRAY, 0.0f, 0.0f,
            java.awt.Color.LIGHT_GRAY);
    renderer.setSeriesPaint(0, gp0);

    plot.setDomainAxis(0, valueAxis);
    plot.setRangeAxis(0, rangeAxis);

    // 3. Setup line
    // Create the line data, renderer, and axis
    XYItemRenderer lineRenderer = new XYLineAndShapeRenderer(true, false); // Lines only
    lineRenderer.setSeriesPaint(0, java.awt.Color.RED);
    lineRenderer.setSeriesStroke(0, new BasicStroke(2f));

    // Set the line data, renderer, and axis into plot
    NumberAxis xLineAxis = new NumberAxis(EMPTY);
    xLineAxis.setTickMarksVisible(false);
    xLineAxis.setTickLabelsVisible(false);
    xLineAxis.setAutoRange(false);

    NumberAxis yLineAxis = new NumberAxis(EMPTY);
    yLineAxis.setTickMarksVisible(false);
    yLineAxis.setTickLabelsVisible(false);
    yLineAxis.setAutoRange(false);

    double maxYValue = Double.MIN_VALUE;
    for (int i = 0; i < dataset.getItemCount(0); i++) {
        maxYValue = Math.max(maxYValue, dataset.getYValue(0, i));
    }

    XYSeriesCollection lineDatset = new XYSeriesCollection();

    // Vertical Average
    XYSeries vertical = new XYSeries("Average"); //$NON-NLS-1$
    vertical.add(minMaxVisitor.getAverageX(), 0);
    vertical.add(minMaxVisitor.getAverageX(), maxYValue);
    lineDatset.addSeries(vertical);

    plot.setDataset(1, lineDatset);
    plot.setRenderer(1, lineRenderer);
    plot.setDomainAxis(1, xLineAxis);
    plot.setRangeAxis(1, yLineAxis);

    // Map the line to the second Domain and second Range
    plot.mapDatasetToDomainAxis(1, 0);
    plot.mapDatasetToRangeAxis(1, 0);

    chartComposite.setChart(chart);
    chartComposite.forceRedraw();
}

From source file:mil.tatrc.physiology.utilities.csv.plots.ActionEventPlotter.java

public void createGraph(PlotJob job, List<List<Double>> timeData, List<List<Double>> data,
        List<LogEvent> events, List<SEAction> actions) {
    CSVPlotTool plotTool = new CSVPlotTool(); //to leverage existing functions
    String title = job.name + "_";
    XYSeriesCollection dataSet = new XYSeriesCollection();
    double maxY = 0;
    double minY = Double.MAX_VALUE;
    for (int i = 0; i < timeData.size(); i++) {
        if (timeData.get(i) == null || data.get(i) == null) {
            job.bgColor = Color.white; //This hits when we have Expected data but NOT computed data
            continue;
        }// ww w .ja  v  a2s . com

        title = title + job.headers.get(i) + "_";
        XYSeries dataSeries;
        if (job.isComparePlot) {
            if (timeData.size() > 1)
                dataSeries = plotTool.createXYSeries(i == 0 ? "Expected" : "Computed", timeData.get(i),
                        data.get(i));
            else //If we're comparing but only have one data list, expected is missing, so rename to computed
            {
                dataSeries = plotTool.createXYSeries("Computed", timeData.get(i), data.get(i));
            }
        } else
            dataSeries = plotTool.createXYSeries(job.headers.get(i), timeData.get(i), data.get(i));
        dataSet.addSeries(dataSeries);
        maxY = maxY < dataSeries.getMaxY() ? dataSeries.getMaxY() : maxY;
        minY = minY > dataSeries.getMinY() ? dataSeries.getMinY() : minY;
    }
    title = title + "vs_Time_Action_Event_Plot";

    //Override the constructed title if desired (usually for compare plots)
    if (job.titleOverride != null && !job.titleOverride.isEmpty()
            && !job.titleOverride.equalsIgnoreCase("None"))
        title = job.titleOverride;

    double rangeLength = maxY - minY;
    if (Math.abs(rangeLength) < 1e-6) {
        rangeLength = .01;
    }

    class AEEntry implements Comparable<AEEntry> {
        public String name;
        public List<Double> times = new ArrayList<Double>();
        public List<Double> YVals = new ArrayList<Double>();
        public String type = "";

        public int compareTo(AEEntry entry) {
            return times.get(0) < entry.times.get(0) ? -1 : times.get(0) > entry.times.get(0) ? 1 : 0;
        }
    }

    List<AEEntry> allActionsAndEvents = new ArrayList<AEEntry>();

    if (!job.skipAllEvents) {
        //Make points for each event
        //Treat each event like two points on the same vertical line
        for (LogEvent event : events) {
            boolean skip = false;

            for (String eventToSkip : job.eventOmissions) {
                if (event.text.contains(eventToSkip))
                    skip = true;
            }
            if (skip)
                continue;
            AEEntry entry = new AEEntry();

            entry.times.add(event.time.getValue());
            if (job.logAxis)
                entry.YVals.add(maxY);
            else if (job.forceZeroYAxisBound && maxY < 0)
                entry.YVals.add(-.01);
            else
                entry.YVals.add(maxY + 0.15 * rangeLength);

            entry.times.add(event.time.getValue());
            if (job.logAxis)
                entry.YVals.add(minY);
            else if (job.forceZeroYAxisBound && minY > 0)
                entry.YVals.add(-.01);
            else
                entry.YVals.add(minY - 0.15 * rangeLength);

            entry.name = event.text + "\r\nt=" + event.time.getValue();
            entry.type = "EVENT:";

            allActionsAndEvents.add(entry);
        }
    }

    if (!job.skipAllActions) {
        //Make similar entries for actions
        for (SEAction action : actions) {
            boolean skip = false;

            for (String actionToSkip : job.actionOmissions) {
                if (action.toString().contains(actionToSkip))
                    skip = true;
            }
            if (skip)
                continue;

            if (action.toString().contains("Advance Time"))
                continue;

            AEEntry entry = new AEEntry();

            entry.times.add(action.getScenarioTime().getValue());
            if (job.logAxis)
                entry.YVals.add(maxY);
            else if (job.forceZeroYAxisBound && maxY < 0)
                entry.YVals.add(-.01);
            else
                entry.YVals.add(maxY + 0.15 * rangeLength);

            entry.times.add(action.getScenarioTime().getValue());
            if (job.logAxis)
                entry.YVals.add(minY);
            else if (job.forceZeroYAxisBound && minY > 0)
                entry.YVals.add(-.01);
            else
                entry.YVals.add(minY - 0.15 * rangeLength);

            entry.name = action.toString() + "\r\nt=" + action.getScenarioTime().getValue();
            entry.type = "ACTION:";

            allActionsAndEvents.add(entry);
        }
    }

    //Sort the list
    Collections.sort(allActionsAndEvents);

    //Add a series for each entry
    for (AEEntry entry : allActionsAndEvents) {
        dataSet.addSeries(plotTool.createXYSeries(entry.type + entry.name, entry.times, entry.YVals));
    }

    //If we have experimental data, try to load it and create a dataset for it
    XYSeriesCollection expDataSet = new XYSeriesCollection();
    if (job.experimentalData != null && !job.experimentalData.isEmpty()) {
        Map<String, List<Double>> expData = new HashMap<String, List<Double>>();
        List<String> expHeaders = new ArrayList<String>();

        try {
            CSVContents csv = new CSVContents(job.experimentalData);
            csv.abbreviateContents = 0;
            csv.readAll(expData);
            expHeaders = csv.getHeaders();
        } catch (Exception e) {
            Log.error("Unable to read experimental data");
        }

        if (!expData.isEmpty() && !expHeaders.isEmpty()) {
            List<Double> expTimeData = new ArrayList<Double>();
            expTimeData = expData.get("Time(s)");

            for (String h : expHeaders) //Will assume all headers from exp file will be on same Y axis vs time
            {
                if (h.equalsIgnoreCase("Time(s)"))
                    continue;

                expDataSet.addSeries(plotTool.createXYSeries("Experimental " + h, expTimeData, expData.get(h)));
            }
        }
    }

    //set labels
    String XAxisLabel = "Time(s)";
    String YAxisLabel = job.headers.get(0);

    JFreeChart chart = ChartFactory.createXYLineChart(
            job.titleOverride != null && job.titleOverride.equalsIgnoreCase("None") ? "" : title, // chart title
            XAxisLabel, // x axis label
            YAxisLabel, // y axis label
            dataSet, // data
            PlotOrientation.VERTICAL, // orientation
            true, // include legend
            true, // tooltips
            false // urls
    );

    Log.info("Creating Graph " + title);
    XYPlot plot = (XYPlot) chart.getPlot();

    if (!job.logAxis) {
        // Determine Y range
        double resMax0 = maxY;
        double resMin0 = minY;
        if (Double.isNaN(resMax0) || Double.isNaN(resMin0))
            plot.getDomainAxis().setLabel("Range is NaN");
        if (DoubleUtils.isZero(resMin0))
            resMin0 = -0.000001;
        if (DoubleUtils.isZero(resMax0))
            resMax0 = 0.000001;
        if (job.forceZeroYAxisBound && resMin0 >= 0)
            resMin0 = -.000001;
        if (job.forceZeroYAxisBound && resMax0 <= 0)
            resMax0 = .000001;
        rangeLength = resMax0 - resMin0;
        ValueAxis yAxis = plot.getRangeAxis();
        if (rangeLength != 0)
            yAxis.setRange(resMin0 - 0.15 * rangeLength, resMax0 + 0.15 * rangeLength);//15% buffer so we can see top and bottom clearly           

        //Add another Y axis to the right side for easier reading
        ValueAxis rightYAxis = new NumberAxis();
        rightYAxis.setRange(yAxis.getRange());
        rightYAxis.setLabel("");

        //Override the bounds if desired
        try {
            if (job.Y1LowerBound != null) {
                yAxis.setLowerBound(job.Y1LowerBound);
                rightYAxis.setLowerBound(job.Y1LowerBound);
            }
            if (job.Y1UpperBound != null) {
                yAxis.setUpperBound(job.Y1UpperBound);
                rightYAxis.setUpperBound(job.Y1UpperBound);
            }
        } catch (Exception e) {
            Log.error(
                    "Couldn't set Y bounds. You probably tried to set a bound on an axis that doesn't exist.");
        }
        plot.setRangeAxis(0, yAxis);
        plot.setRangeAxis(1, rightYAxis);

    } else {
        double resMin = minY;
        double resMax = maxY;
        if (resMin <= 0.0)
            resMin = .00001;
        LogarithmicAxis yAxis = new LogarithmicAxis("Log(" + YAxisLabel + ")");
        LogarithmicAxis rightYAxis = new LogarithmicAxis("");
        yAxis.setLowerBound(resMin);
        rightYAxis.setLowerBound(resMin);
        yAxis.setUpperBound(resMax);
        rightYAxis.setUpperBound(resMax);

        //Override the bounds if desired
        try {
            if (job.Y1LowerBound != null) {
                yAxis.setLowerBound(job.Y1LowerBound);
                rightYAxis.setLowerBound(job.Y1LowerBound);
            }
            if (job.Y1UpperBound != null) {
                yAxis.setUpperBound(job.Y1UpperBound);
                rightYAxis.setUpperBound(job.Y1UpperBound);
            }
        } catch (Exception e) {
            Log.error(
                    "Couldn't set Y bounds. You probably tried to set a bound on an axis that doesn't exist.");
        }
        plot.setRangeAxis(0, yAxis);
        plot.setRangeAxis(1, rightYAxis);
    }

    //Override X bounds if desired
    try {
        if (job.X1LowerBound != null)
            plot.getDomainAxis(0).setLowerBound(job.X1LowerBound);
        if (job.X1UpperBound != null)
            plot.getDomainAxis(0).setUpperBound(job.X1UpperBound);
    } catch (Exception e) {
        Log.error("Couldn't set X bounds. You probably tried to set a bound on an axis that doesn't exist.");
    }

    //Override labels if desired
    if (job.X1Label != null && !plot.getDomainAxis(0).getLabel().contains("NaN"))
        plot.getDomainAxis(0).setLabel(job.X1Label.equalsIgnoreCase("None") ? "" : job.X1Label);
    if (job.Y1Label != null)
        plot.getRangeAxis(0).setLabel(job.Y1Label.equalsIgnoreCase("None") ? "" : job.Y1Label);

    //If we have experimental data, set up the renderer for it and add to plot
    if (expDataSet.getSeriesCount() != 0) {
        XYItemRenderer renderer1 = new XYLineAndShapeRenderer(false, true); // Shapes only
        renderer1.setSeriesShape(0, ShapeUtilities.createDiamond(8));
        plot.setDataset(1, expDataSet);
        plot.setRenderer(1, renderer1);
        plot.mapDatasetToDomainAxis(1, 0);
        plot.mapDatasetToRangeAxis(1, 0);
    }

    formatAEPlot(job, chart);
    plot.setDomainGridlinesVisible(job.showGridLines);
    plot.setRangeGridlinesVisible(job.showGridLines);

    //Changing line widths and colors
    XYItemRenderer r = plot.getRenderer();
    BasicStroke wideLine = new BasicStroke(2.0f);
    Color[] AEcolors = { Color.red, Color.green, Color.black, Color.magenta, Color.orange };
    Color[] dataColors = { Color.blue, Color.cyan, Color.gray, Color.black, Color.red };
    for (int i = 0, cIndex = 0; i < dataSet.getSeriesCount(); i++, cIndex++) {
        r.setSeriesStroke(i, wideLine);
        XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) plot.getRenderer();
        renderer.setBaseShapesVisible(false);
        if (cIndex > 4)
            cIndex = 0;
        if (i < job.headers.size()) //Our actual data
        {
            renderer.setSeriesFillPaint(i, dataColors[cIndex]);
            renderer.setSeriesPaint(i, dataColors[cIndex]);
        } else //actions and events in procession of other colors
        {
            renderer.setSeriesFillPaint(i, AEcolors[cIndex]);
            renderer.setSeriesPaint(i, AEcolors[cIndex]);
        }
    }
    //Special color and format changes for compare plots
    if (job.isComparePlot) {
        XYLineAndShapeRenderer renderer = (XYLineAndShapeRenderer) plot.getRenderer();

        for (int i = 0; i < dataSet.getSeriesCount(); i++) {
            if (dataSet.getSeries(i).getKey().toString().equalsIgnoreCase("Expected")) {
                renderer.setSeriesStroke(//makes a dashed line
                        i, //argument below float[]{I,K} -> alternates between solid and opaque (solid for I, opaque for K)
                        new BasicStroke(2.0f, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1.0f,
                                new float[] { 15.0f, 30.0f }, 0.0f));
                renderer.setDrawSeriesLineAsPath(true);
                renderer.setUseFillPaint(true);
                renderer.setBaseShapesVisible(false);
                renderer.setSeriesFillPaint(i, Color.black);
                renderer.setSeriesPaint(i, Color.black);
            }
            if (dataSet.getSeries(i).getKey().toString().equalsIgnoreCase("Computed")) {
                renderer.setSeriesFillPaint(i, Color.red);
                renderer.setSeriesPaint(i, Color.red);
            }
            if (dataSet.getSeries(i).getKey().toString().startsWith("ACTION")) {
                renderer.setSeriesFillPaint(i, Color.green);
                renderer.setSeriesPaint(i, Color.green);
            }
            if (dataSet.getSeries(i).getKey().toString().startsWith("EVENT")) {
                renderer.setSeriesFillPaint(i, Color.blue);
                renderer.setSeriesPaint(i, Color.blue);
            }
        }
    }

    //Split the auto-generated legend into two legends, one for data and one for actions and events
    LegendItemCollection originalLegendCollection = plot.getLegendItems();
    final LegendItemCollection dataLegendCollection = new LegendItemCollection();
    int i;
    for (i = 0; i < job.headers.size() && i < originalLegendCollection.getItemCount(); i++) {
        if (originalLegendCollection.get(i).getLabel().startsWith("ACTION")
                || originalLegendCollection.get(i).getLabel().startsWith("EVENT"))
            break;
        dataLegendCollection.add(originalLegendCollection.get(i));
    }
    final LegendItemCollection remainingLegendCollection = new LegendItemCollection();
    for (; i < originalLegendCollection.getItemCount(); i++) {
        remainingLegendCollection.add(originalLegendCollection.get(i));
    }
    chart.removeLegend();
    LegendItemSource source = new LegendItemSource() {
        LegendItemCollection lic = new LegendItemCollection();
        {
            lic.addAll(dataLegendCollection);
        }

        public LegendItemCollection getLegendItems() {
            return lic;
        }
    };
    LegendTitle dataLegend = new LegendTitle(source);
    dataLegend.setMargin(new RectangleInsets(1.0, 1.0, 1.0, 1.0));
    dataLegend.setBorder(2, 2, 2, 2);
    dataLegend.setBackgroundPaint(Color.white);
    dataLegend.setPosition(RectangleEdge.TOP);
    dataLegend.setItemFont(new Font("SansSerif", Font.PLAIN, 22));
    chart.addLegend(dataLegend);

    source = new LegendItemSource() {
        LegendItemCollection lic = new LegendItemCollection();
        {
            lic.addAll(remainingLegendCollection);
        }

        public LegendItemCollection getLegendItems() {
            return lic;
        }
    };
    LegendTitle actionEventsLegend = new LegendTitle(source);
    actionEventsLegend.setMargin(new RectangleInsets(1.0, 1.0, 1.0, 1.0));
    actionEventsLegend.setBorder(2, 2, 2, 2);
    actionEventsLegend.setBackgroundPaint(Color.white);
    actionEventsLegend.setPosition(RectangleEdge.BOTTOM);
    actionEventsLegend.setItemFont(new Font("SansSerif", Font.PLAIN, 22));
    if (!job.hideAELegend && !job.removeAllLegends)
        chart.addLegend(actionEventsLegend);

    if (job.removeAllLegends)
        chart.removeLegend();

    int verticalPixels = 800 + 170 * (allActionsAndEvents.size() / 5);

    //This is a little hacky, but if we want only the legend, just extend Plot() and remove the draw functionality so it makes a blank plot
    class legendPlot extends Plot {
        public void draw(Graphics2D arg0, Rectangle2D arg1, Point2D arg2, PlotState arg3,
                PlotRenderingInfo arg4) {

        }

        public String getPlotType() {
            return null;
        }
    }
    //Then add the legend to that and throw away the original plot
    if (job.legendOnly) {
        chart = new JFreeChart("", null, new legendPlot(), false);
        chart.addLegend(actionEventsLegend);
    }

    try {
        FileUtils.createDirectory(job.outputDir);
        String filename = job.outputFilename == null
                ? job.outputDir + "/" + plotTool.MakeFileName(title) + ".jpg"
                : job.outputDir + "/" + job.outputFilename;
        if (!filename.endsWith(".jpg"))
            filename = filename + ".jpg";
        File JPGFile = new File(filename);
        if (job.imageHeight != null && job.imageWidth != null)
            ChartUtilities.saveChartAsJPEG(JPGFile, chart, job.imageWidth, job.imageHeight);
        else if (!job.hideAELegend && !job.removeAllLegends)
            ChartUtilities.saveChartAsJPEG(JPGFile, chart, 1600, verticalPixels);
        else
            ChartUtilities.saveChartAsJPEG(JPGFile, chart, 1600, 800);
    } catch (IOException e) {
        Log.error(e.getMessage());
    }
}