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

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

Introduction

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

Prototype

public void mapDatasetToRangeAxis(int index, int axisIndex) 

Source Link

Document

Maps a dataset to a particular range axis.

Usage

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

/**
 * Erzeuge je einen Graphen fr die Sensoren Project: SubmatixBTForPC Package: de.dmarcini.submatix.pclogger.gui
 * // w  w  w  .j  a  v a 2  s.co m
 * @author Dirk Marciniak (dirk_marciniak@arcor.de) Stand: 02.08.2012
 * @param diveList
 * @param thePlot
 * @param sensor
 */
private void makePpoGraph(Vector<Integer[]> diveList, XYPlot thePlot, int sensor) {
    XYDataset ppo2DataSet;
    int indexForCreate;
    int posForGraph;
    int posColor;
    String title;
    //
    lg.debug("create Sensor <" + sensor + "> dataset");
    // Titel schon mal...
    title = String.format(LangStrings.getString("spx42LogGraphPanel.graph.ppo2SensorScalaTitle"), sensor);
    //
    // Dataset Index einstellen
    switch (sensor) {
    case 0:
        indexForCreate = LogDerbyDatabaseUtil.PPO2;
        posForGraph = GRAPH_PPO2ALL;
        posColor = ProjectConst.GRAPH_PPO2ALL_RCOLOR;
        title = LangStrings.getString("spx42LogGraphPanel.graph.ppo2ScalaTitle");
        break;
    case 1:
        indexForCreate = LogDerbyDatabaseUtil.PPO2_01;
        posForGraph = GRAPH_PPO2_01;
        posColor = ProjectConst.GRAPH_PPO2_01_RCOLOR;
        break;
    case 2:
        indexForCreate = LogDerbyDatabaseUtil.PPO2_02;
        posForGraph = GRAPH_PPO2_02;
        posColor = ProjectConst.GRAPH_PPO2_02_RCOLOR;
        break;
    case 3:
        indexForCreate = LogDerbyDatabaseUtil.PPO2_03;
        posForGraph = GRAPH_PPO2_03;
        posColor = ProjectConst.GRAPH_PPO2_02_RCOLOR;
        break;
    default:
        indexForCreate = LogDerbyDatabaseUtil.PPO2_01;
        posForGraph = GRAPH_PPO2_01;
        posColor = ProjectConst.GRAPH_PPO2_01_RCOLOR;
    }
    if (showingUnitSystem == savedUnitSystem || showingUnitSystem == ProjectConst.UNITS_DEFAULT) {
        ppo2DataSet = createXYDataset(title, diveList, ProjectConst.UNITS_DEFAULT, 0, indexForCreate);
    } else {
        ppo2DataSet = createXYDataset(title, diveList, showingUnitSystem, 0, indexForCreate);
    }
    final XYLineAndShapeRenderer ppo2Renderer = new XYLineAndShapeRenderer(true, true);
    // die Achse sollte schon erstellt sein
    thePlot.setDataset(posForGraph, ppo2DataSet);
    thePlot.mapDatasetToRangeAxis(posForGraph, GRAPH_PPO2ALL);
    ppo2Renderer.setSeriesPaint(0, new Color(posColor));
    ppo2Renderer.setSeriesShapesVisible(0, false);
    ppo2Renderer.setDrawSeriesLineAsPath(true);
    thePlot.setRenderer(posForGraph, ppo2Renderer);
}

From source file:org.codehaus.mojo.dashboard.report.plugin.chart.time.SurefirePercentAxisDecorator.java

/**
 *
 *///from w  w  w. j av a 2s  . c  o m
public void createChart() {

    XYPlot xyplot = (XYPlot) report.getPlot();
    if (this.decoratedChart instanceof TimeChartRenderer && this.results != null && !this.results.isEmpty()) {

        Iterator iter = this.results.iterator();
        TimeSeriesCollection defaultdataset = new TimeSeriesCollection();
        TimeSeries s1 = new TimeSeries("% success", Day.class);

        while (iter.hasNext()) {
            SurefireReportBean surefire = (SurefireReportBean) iter.next();
            Date date = surefire.getDateGeneration();
            s1.addOrUpdate(new Day(TimePeriod.DAY.normalize(date)), surefire.getSucessRate() / PCENT);

        }

        defaultdataset.addSeries(s1);

        XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer();
        renderer.setBaseShapesVisible(true);
        renderer.setBaseShapesFilled(true);
        renderer.setSeriesPaint(0, ChartColor.DARK_BLUE);
        renderer.setBaseShapesVisible(true);
        renderer.setDrawOutlines(true);
        StandardXYItemLabelGenerator labelgenerator = new StandardXYItemLabelGenerator(
                StandardXYItemLabelGenerator.DEFAULT_ITEM_LABEL_FORMAT, TimePeriod.DAY.getDateFormat(),
                NumberFormat.getPercentInstance(Locale.getDefault()));
        renderer.setBaseItemLabelGenerator(labelgenerator);
        renderer.setBaseItemLabelFont(new Font("SansSerif", Font.BOLD, ITEM_LABEL_FONT_SIZE));
        renderer.setBaseItemLabelsVisible(true);
        renderer.setBasePositiveItemLabelPosition(
                new ItemLabelPosition(ItemLabelAnchor.OUTSIDE10, TextAnchor.BASELINE_RIGHT));

        renderer.setBaseStroke(new BasicStroke(2.0f, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND));

        LegendTitle legendtitle = new LegendTitle(xyplot.getRenderer(0));
        legendtitle.setMargin(new RectangleInsets(2D, 2D, 2D, 2D));
        legendtitle.setFrame(new BlockBorder());
        legendtitle.setBackgroundPaint(ChartColor.WHITE);

        LegendTitle legendtitle1 = new LegendTitle(renderer);
        legendtitle1.setMargin(new RectangleInsets(2D, 2D, 2D, 2D));
        legendtitle1.setFrame(new BlockBorder());
        legendtitle1.setBackgroundPaint(ChartColor.WHITE);

        BlockContainer blockcontainer = new BlockContainer(new BorderArrangement());
        blockcontainer.add(legendtitle, RectangleEdge.LEFT);
        blockcontainer.add(legendtitle1, RectangleEdge.RIGHT);
        blockcontainer.add(new EmptyBlock(BLOCK_CONTAINER_WIDTH, 0.0D));

        CompositeTitle compositetitle = new CompositeTitle(blockcontainer);
        compositetitle.setPosition(RectangleEdge.BOTTOM);

        report.clearSubtitles();
        report.addSubtitle(compositetitle);

        xyplot.setDataset(1, defaultdataset);

        NumberAxis valueaxis = new NumberAxis("% success");
        valueaxis.setLowerMargin(0.0D);
        valueaxis.setUpperMargin(AXIS_UPPER_MARGIN);
        valueaxis.setRangeWithMargins(0.0D, 1.0D);
        valueaxis.setNumberFormatOverride(NumberFormat.getPercentInstance());
        xyplot.setRangeAxis(1, valueaxis);
        xyplot.mapDatasetToRangeAxis(1, 1);
        xyplot.setRenderer(1, renderer);
    }

}

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  www  .ja va2  s . c om
    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.n52.server.sos.render.DiagramRenderer.java

/**
 * <pre>/*from   w w  w  .j av a  2  s .c  om*/
 * dataset :=  associated to one range-axis;
 * corresponds to one observedProperty;
 * may contain multiple series;
 * series :=   corresponds to a time series for one foi
 * </pre>
 * 
 * .
 * 
 * @param entireCollMap
 *            the entire coll map
 * @param options
 *            the options
 * @param begin
 *            the begin
 * @param end
 *            the end
 * @param compress
 * @return the j free chart
 */
public JFreeChart renderChart(Map<String, OXFFeatureCollection> entireCollMap, DesignOptions options,
        Calendar begin, Calendar end, boolean compress) {

    DesignDescriptionList designDescriptions = buildUpDesignDescriptionList(options);

    /*** FIRST RUN ***/
    JFreeChart chart = initializeTimeSeriesChart();
    chart.setBackgroundPaint(Color.white);

    if (!this.isOverview) {
        chart.addSubtitle(new TextTitle(ConfigurationContext.COPYRIGHT, new Font(LABEL_FONT, Font.PLAIN, 9),
                Color.black, RectangleEdge.BOTTOM, HorizontalAlignment.RIGHT, VerticalAlignment.BOTTOM,
                new RectangleInsets(0, 0, 20, 20)));
    }
    XYPlot plot = (XYPlot) chart.getPlot();
    plot.setBackgroundPaint(Color.white);
    plot.setDomainGridlinePaint(Color.lightGray);
    plot.setRangeGridlinePaint(Color.lightGray);
    plot.setAxisOffset(new RectangleInsets(2.0, 2.0, 2.0, 2.0));
    plot.setDomainCrosshairVisible(true);
    plot.setRangeCrosshairVisible(true);

    plot.setDomainGridlinesVisible(options.getGrid());
    plot.setRangeGridlinesVisible(options.getGrid());

    // add additional datasets:
    DateAxis dateAxis = (DateAxis) plot.getDomainAxis();
    dateAxis.setRange(begin.getTime(), end.getTime());
    dateAxis.setDateFormatOverride(new SimpleDateFormat());

    // add all axes
    String[] phenomenaIds = options.getAllPhenomenIds();
    // all the axis indices to map them later
    HashMap<String, Integer> axes = new HashMap<String, Integer>();
    for (int i = 0; i < phenomenaIds.length; i++) {
        axes.put(phenomenaIds[i], i);
        plot.setRangeAxis(i, new NumberAxis(phenomenaIds[i]));
    }

    // list range markers
    ArrayList<ValueMarker> referenceMarkers = new ArrayList<ValueMarker>();
    HashMap<String, double[]> referenceBounds = new HashMap<String, double[]>();

    // create all TS collections
    for (int i = 0; i < options.getProperties().size(); i++) {

        TimeseriesProperties prop = options.getProperties().get(i);

        String phenomenonId = prop.getPhenomenon();

        TimeSeriesCollection dataset = createDataset(entireCollMap, prop, phenomenonId, compress);
        dataset.setGroup(new DatasetGroup(prop.getTimeseriesId()));
        XYDataset additionalDataset = dataset;

        NumberAxis axe = (NumberAxis) plot.getRangeAxis(axes.get(phenomenonId));

        if (this.isOverview) {
            axe.setAutoRange(true);
            axe.setAutoRangeIncludesZero(false);
        } else if (prop.getAxisUpperBound() == prop.getAxisLowerBound() || prop.isAutoScale()) {
            if (prop.isZeroScaled()) {
                axe.setAutoRangeIncludesZero(true);
            } else {
                axe.setAutoRangeIncludesZero(false);
            }
        } else {
            if (prop.isZeroScaled()) {
                if (axe.getUpperBound() < prop.getAxisUpperBound()) {
                    axe.setUpperBound(prop.getAxisUpperBound());
                }
                if (axe.getLowerBound() > prop.getAxisLowerBound()) {
                    axe.setLowerBound(prop.getAxisLowerBound());
                }
            } else {
                axe.setRange(prop.getAxisLowerBound(), prop.getAxisUpperBound());
                axe.setAutoRangeIncludesZero(false);
            }
        }

        plot.setDataset(i, additionalDataset);
        plot.mapDatasetToRangeAxis(i, axes.get(phenomenonId));

        // set bounds new for reference values
        if (!referenceBounds.containsKey(phenomenonId)) {
            double[] bounds = new double[] { axe.getLowerBound(), axe.getUpperBound() };
            referenceBounds.put(phenomenonId, bounds);
        } else {
            double[] bounds = referenceBounds.get(phenomenonId);
            if (bounds[0] >= axe.getLowerBound()) {
                bounds[0] = axe.getLowerBound();
            }
            if (bounds[1] <= axe.getUpperBound()) {
                bounds[1] = axe.getUpperBound();
            }
        }

        double[] bounds = referenceBounds.get(phenomenonId);
        for (String string : prop.getReferenceValues()) {
            if (prop.getRefValue(string).show()) {
                Double value = prop.getRefValue(string).getValue();
                if (value <= bounds[0]) {
                    bounds[0] = value;
                } else if (value >= bounds[1]) {
                    bounds[1] = value;
                }
            }
        }

        Axis axis = prop.getAxis();
        if (axis == null) {
            axis = new Axis(axe.getUpperBound(), axe.getLowerBound());
        } else if (prop.isAutoScale()) {
            axis.setLowerBound(axe.getLowerBound());
            axis.setUpperBound(axe.getUpperBound());
            axis.setMaxY(axis.getMaxY());
            axis.setMinY(axis.getMinY());
        }
        prop.setAxisData(axis);
        this.axisMapping.put(prop.getTimeseriesId(), axis);

        for (String string : prop.getReferenceValues()) {
            if (prop.getRefValue(string).show()) {
                referenceMarkers.add(new ValueMarker(prop.getRefValue(string).getValue(),
                        Color.decode(prop.getRefValue(string).getColor()),
                        new BasicStroke(1.0f, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1.0f)));
            }
        }

        plot.mapDatasetToRangeAxis(i, axes.get(phenomenonId));
    }

    for (ValueMarker valueMarker : referenceMarkers) {
        plot.addRangeMarker(valueMarker);
    }

    // show actual time
    ValueMarker nowMarker = new ValueMarker(System.currentTimeMillis(), Color.orange,
            new BasicStroke(1.0f, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1.0f));
    plot.addDomainMarker(nowMarker);

    if (!this.isOverview) {
        Iterator<Entry<String, double[]>> iterator = referenceBounds.entrySet().iterator();
        while (iterator.hasNext()) {
            Entry<String, double[]> boundsEntry = iterator.next();
            String phenId = boundsEntry.getKey();
            NumberAxis axe = (NumberAxis) plot.getRangeAxis(axes.get(phenId));
            axe.setAutoRange(true);
            // add a margin 
            double marginOffset = (boundsEntry.getValue()[1] - boundsEntry.getValue()[0]) / 25;
            boundsEntry.getValue()[0] -= marginOffset;
            boundsEntry.getValue()[1] += marginOffset;
            axe.setRange(boundsEntry.getValue()[0], boundsEntry.getValue()[1]);
        }
    }

    /**** SECOND RUN ***/

    // set domain axis labels:
    plot.getDomainAxis().setLabelFont(label);
    plot.getDomainAxis().setLabelPaint(LABEL_COLOR);
    plot.getDomainAxis().setTickLabelFont(tickLabelDomain);
    plot.getDomainAxis().setTickLabelPaint(LABEL_COLOR);
    plot.getDomainAxis().setLabel(designDescriptions.getDomainAxisLabel());

    // define the design for each series:
    for (int datasetIndex = 0; datasetIndex < plot.getDatasetCount(); datasetIndex++) {
        TimeSeriesCollection dataset = (TimeSeriesCollection) plot.getDataset(datasetIndex);

        for (int seriesIndex = 0; seriesIndex < dataset.getSeriesCount(); seriesIndex++) {

            String timeseriesId = (String) dataset.getSeries(seriesIndex).getKey();
            RenderingDesign dd = designDescriptions.get(timeseriesId);

            if (dd != null) {

                // LINESTYLE:
                String lineStyle = dd.getLineStyle();
                int width = dd.getLineWidth();
                if (this.isOverview) {
                    width = width / 2;
                    width = (width == 0) ? 1 : width;
                }
                // "1" is lineStyle "line"
                if (lineStyle.equalsIgnoreCase(LINE)) {
                    XYLineAndShapeRenderer ren = new XYLineAndShapeRenderer(true, false);
                    ren.setStroke(new BasicStroke(width));
                    plot.setRenderer(datasetIndex, ren);
                }
                // "2" is lineStyle "area"
                else if (lineStyle.equalsIgnoreCase(AREA)) {
                    plot.setRenderer(datasetIndex, new XYAreaRenderer());
                }
                // "3" is lineStyle "dotted"
                else if (lineStyle.equalsIgnoreCase(DOTTED)) {
                    XYLineAndShapeRenderer ren = new XYLineAndShapeRenderer(false, true);
                    ren.setShape(new Ellipse2D.Double(-width, -width, 2 * width, 2 * width));
                    plot.setRenderer(datasetIndex, ren);

                }
                // "4" is dashed
                else if (lineStyle.equalsIgnoreCase("4")) {
                    XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(true, false);
                    renderer.setSeriesStroke(0, new BasicStroke(width, BasicStroke.CAP_ROUND,
                            BasicStroke.JOIN_ROUND, 1.0f, new float[] { 4.0f * width, 4.0f * width }, 0.0f));
                    plot.setRenderer(datasetIndex, renderer);
                } else if (lineStyle.equalsIgnoreCase("5")) {
                    // lines and dots
                    XYLineAndShapeRenderer ren = new XYLineAndShapeRenderer(true, true);
                    int thickness = 2 * width;
                    ren.setShape(new Ellipse2D.Double(-width, -width, thickness, thickness));
                    ren.setStroke(new BasicStroke(width));
                    plot.setRenderer(datasetIndex, ren);
                } else {
                    // default is lineStyle "line"
                    plot.setRenderer(datasetIndex, new XYLineAndShapeRenderer(true, false));
                }

                plot.getRenderer(datasetIndex).setSeriesPaint(seriesIndex, dd.getColor());

                // plot.getRenderer(datasetIndex).setShapesVisible(true);

                XYToolTipGenerator toolTipGenerator = StandardXYToolTipGenerator.getTimeSeriesInstance();
                XYURLGenerator urlGenerator = new MetadataInURLGenerator(designDescriptions);

                plot.getRenderer(datasetIndex).setBaseToolTipGenerator(toolTipGenerator);
                plot.getRenderer(datasetIndex).setURLGenerator(urlGenerator);

                // GRID:
                // PROBLEM: JFreeChart only allows to switch the grid on/off
                // for the whole XYPlot. And the
                // grid will always be displayed for the first series in the
                // plot. I'll always show the
                // grid.
                // --> plot.setDomainGridlinesVisible(visible)

                // RANGE AXIS LABELS:
                if (isOverview) {
                    plot.getRangeAxisForDataset(datasetIndex).setTickLabelsVisible(false);
                    plot.getRangeAxisForDataset(datasetIndex).setTickMarksVisible(false);
                    plot.getRangeAxisForDataset(datasetIndex).setVisible(false);
                } else {
                    plot.getRangeAxisForDataset(datasetIndex).setLabelFont(label);
                    plot.getRangeAxisForDataset(datasetIndex).setLabelPaint(LABEL_COLOR);
                    plot.getRangeAxisForDataset(datasetIndex).setTickLabelFont(tickLabelDomain);
                    plot.getRangeAxisForDataset(datasetIndex).setTickLabelPaint(LABEL_COLOR);
                    StringBuilder unitOfMeasure = new StringBuilder();
                    unitOfMeasure.append(dd.getPhenomenon().getLabel());
                    String uomLabel = dd.getUomLabel();
                    if (uomLabel != null && !uomLabel.isEmpty()) {
                        unitOfMeasure.append(" (").append(uomLabel).append(")");
                    }
                    plot.getRangeAxisForDataset(datasetIndex).setLabel(unitOfMeasure.toString());
                }
            }
        }
    }
    return chart;
}

From source file:org.n52.server.io.render.DiagramRenderer.java

/**
 * <pre>/*from   ww w . j  ava 2 s  .c om*/
 * dataset :=  associated to one range-axis;
 * corresponds to one observedProperty;
 * may contain multiple series;
 * series :=   corresponds to a time series for one foi
 * </pre>
 *
 * .
 *
 * @param entireCollMap
 *            the entire coll map
 * @param options
 *            the options
 * @param begin
 *            the begin
 * @param end
 *            the end
 * @param compress
 * @return the j free chart
 */
public JFreeChart renderChart(Map<String, OXFFeatureCollection> entireCollMap, DesignOptions options,
        Calendar begin, Calendar end, boolean compress) {

    DesignDescriptionList designDescriptions = buildUpDesignDescriptionList(options);

    /*** FIRST RUN ***/
    JFreeChart chart = initializeTimeSeriesChart();
    chart.setBackgroundPaint(Color.white);

    if (!this.isOverview) {
        chart.addSubtitle(new TextTitle(ConfigurationContext.COPYRIGHT, new Font(LABEL_FONT, Font.PLAIN, 9),
                Color.black, RectangleEdge.BOTTOM, HorizontalAlignment.RIGHT, VerticalAlignment.BOTTOM,
                new RectangleInsets(0, 0, 20, 20)));
    }
    XYPlot plot = (XYPlot) chart.getPlot();
    plot.setBackgroundPaint(Color.white);
    plot.setDomainGridlinePaint(Color.lightGray);
    plot.setRangeGridlinePaint(Color.lightGray);
    plot.setAxisOffset(new RectangleInsets(2.0, 2.0, 2.0, 2.0));
    plot.setDomainCrosshairVisible(true);
    plot.setRangeCrosshairVisible(true);

    plot.setDomainGridlinesVisible(options.getGrid());
    plot.setRangeGridlinesVisible(options.getGrid());

    // add additional datasets:
    DateAxis dateAxis = (DateAxis) plot.getDomainAxis();
    dateAxis.setRange(begin.getTime(), end.getTime());
    dateAxis.setDateFormatOverride(new SimpleDateFormat());
    dateAxis.setTimeZone(end.getTimeZone());

    // add all axes
    String[] phenomenaIds = options.getAllPhenomenIds();
    // all the axis indices to map them later
    HashMap<String, Integer> axes = new HashMap<String, Integer>();
    for (int i = 0; i < phenomenaIds.length; i++) {
        axes.put(phenomenaIds[i], i);
        plot.setRangeAxis(i, new NumberAxis(phenomenaIds[i]));
    }

    // list range markers
    ArrayList<ValueMarker> referenceMarkers = new ArrayList<ValueMarker>();
    HashMap<String, double[]> referenceBounds = new HashMap<String, double[]>();

    // create all TS collections
    for (int i = 0; i < options.getProperties().size(); i++) {

        TimeseriesProperties prop = options.getProperties().get(i);

        String phenomenonId = prop.getPhenomenon();

        TimeSeriesCollection dataset = createDataset(entireCollMap, prop, phenomenonId, compress);
        dataset.setGroup(new DatasetGroup(prop.getTimeseriesId()));
        XYDataset additionalDataset = dataset;

        NumberAxis axe = (NumberAxis) plot.getRangeAxis(axes.get(phenomenonId));

        if (this.isOverview) {
            axe.setAutoRange(true);
            axe.setAutoRangeIncludesZero(false);
        } else if (prop.getAxisUpperBound() == prop.getAxisLowerBound() || prop.isAutoScale()) {
            if (prop.isZeroScaled()) {
                axe.setAutoRangeIncludesZero(true);
            } else {
                axe.setAutoRangeIncludesZero(false);
            }
        } else {
            if (prop.isZeroScaled()) {
                if (axe.getUpperBound() < prop.getAxisUpperBound()) {
                    axe.setUpperBound(prop.getAxisUpperBound());
                }
                if (axe.getLowerBound() > prop.getAxisLowerBound()) {
                    axe.setLowerBound(prop.getAxisLowerBound());
                }
            } else {
                axe.setRange(prop.getAxisLowerBound(), prop.getAxisUpperBound());
                axe.setAutoRangeIncludesZero(false);
            }
        }

        plot.setDataset(i, additionalDataset);
        plot.mapDatasetToRangeAxis(i, axes.get(phenomenonId));

        // set bounds new for reference values
        if (!referenceBounds.containsKey(phenomenonId)) {
            double[] bounds = new double[] { axe.getLowerBound(), axe.getUpperBound() };
            referenceBounds.put(phenomenonId, bounds);
        } else {
            double[] bounds = referenceBounds.get(phenomenonId);
            if (bounds[0] >= axe.getLowerBound()) {
                bounds[0] = axe.getLowerBound();
            }
            if (bounds[1] <= axe.getUpperBound()) {
                bounds[1] = axe.getUpperBound();
            }
        }

        double[] bounds = referenceBounds.get(phenomenonId);
        for (String string : prop.getReferenceValues()) {
            if (prop.getRefValue(string).show()) {
                Double value = prop.getRefValue(string).getValue();
                if (value <= bounds[0]) {
                    bounds[0] = value;
                } else if (value >= bounds[1]) {
                    bounds[1] = value;
                }
            }
        }

        Axis axis = prop.getAxis();
        if (axis == null) {
            axis = new Axis(axe.getUpperBound(), axe.getLowerBound());
        } else if (prop.isAutoScale()) {
            axis.setLowerBound(axe.getLowerBound());
            axis.setUpperBound(axe.getUpperBound());
            axis.setMaxY(axis.getMaxY());
            axis.setMinY(axis.getMinY());
        }
        prop.setAxisData(axis);
        this.axisMapping.put(prop.getTimeseriesId(), axis);

        for (String string : prop.getReferenceValues()) {
            if (prop.getRefValue(string).show()) {
                referenceMarkers.add(new ValueMarker(prop.getRefValue(string).getValue(),
                        Color.decode(prop.getRefValue(string).getColor()),
                        new BasicStroke(1.0f, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1.0f)));
            }
        }

        plot.mapDatasetToRangeAxis(i, axes.get(phenomenonId));
    }

    for (ValueMarker valueMarker : referenceMarkers) {
        plot.addRangeMarker(valueMarker);
    }

    // show actual time
    ValueMarker nowMarker = new ValueMarker(System.currentTimeMillis(), Color.orange,
            new BasicStroke(1.0f, BasicStroke.CAP_ROUND, BasicStroke.JOIN_ROUND, 1.0f));
    plot.addDomainMarker(nowMarker);

    if (!this.isOverview) {
        Iterator<Entry<String, double[]>> iterator = referenceBounds.entrySet().iterator();
        while (iterator.hasNext()) {
            Entry<String, double[]> boundsEntry = iterator.next();
            String phenId = boundsEntry.getKey();
            NumberAxis axe = (NumberAxis) plot.getRangeAxis(axes.get(phenId));
            axe.setAutoRange(true);
            // add a margin
            double marginOffset = (boundsEntry.getValue()[1] - boundsEntry.getValue()[0]) / 25;
            boundsEntry.getValue()[0] -= marginOffset;
            boundsEntry.getValue()[1] += marginOffset;
            axe.setRange(boundsEntry.getValue()[0], boundsEntry.getValue()[1]);
        }
    }

    /**** SECOND RUN ***/

    // set domain axis labels:
    plot.getDomainAxis().setLabelFont(label);
    plot.getDomainAxis().setLabelPaint(LABEL_COLOR);
    plot.getDomainAxis().setTickLabelFont(tickLabelDomain);
    plot.getDomainAxis().setTickLabelPaint(LABEL_COLOR);
    plot.getDomainAxis().setLabel(designDescriptions.getDomainAxisLabel());

    // define the design for each series:
    for (int datasetIndex = 0; datasetIndex < plot.getDatasetCount(); datasetIndex++) {
        TimeSeriesCollection dataset = (TimeSeriesCollection) plot.getDataset(datasetIndex);

        for (int seriesIndex = 0; seriesIndex < dataset.getSeriesCount(); seriesIndex++) {

            String timeseriesId = (String) dataset.getSeries(seriesIndex).getKey();
            RenderingDesign dd = designDescriptions.get(timeseriesId);

            if (dd != null) {

                // LINESTYLE:
                String lineStyle = dd.getLineStyle();
                int width = dd.getLineWidth();
                if (this.isOverview) {
                    width = width / 2;
                    width = (width == 0) ? 1 : width;
                }
                // "1" is lineStyle "line"
                if (lineStyle.equalsIgnoreCase(LINE)) {
                    XYLineAndShapeRenderer ren = new XYLineAndShapeRenderer(true, false);
                    ren.setStroke(new BasicStroke(width));
                    plot.setRenderer(datasetIndex, ren);
                }
                // "2" is lineStyle "area"
                else if (lineStyle.equalsIgnoreCase(AREA)) {
                    plot.setRenderer(datasetIndex, new XYAreaRenderer());
                }
                // "3" is lineStyle "dotted"
                else if (lineStyle.equalsIgnoreCase(DOTTED)) {
                    XYLineAndShapeRenderer ren = new XYLineAndShapeRenderer(false, true);
                    ren.setShape(new Ellipse2D.Double(-width, -width, 2 * width, 2 * width));
                    plot.setRenderer(datasetIndex, ren);

                }
                // "4" is dashed
                else if (lineStyle.equalsIgnoreCase("4")) { // dashed
                    XYLineAndShapeRenderer renderer = new XYLineAndShapeRenderer(true, false);
                    renderer.setSeriesStroke(0, new BasicStroke(width, BasicStroke.CAP_ROUND,
                            BasicStroke.JOIN_ROUND, 1.0f, new float[] { 4.0f * width, 4.0f * width }, 0.0f));
                    plot.setRenderer(datasetIndex, renderer);
                } else if (lineStyle.equalsIgnoreCase("5")) {
                    // lines and dots
                    XYLineAndShapeRenderer ren = new XYLineAndShapeRenderer(true, true);
                    int thickness = 2 * width;
                    ren.setShape(new Ellipse2D.Double(-width, -width, thickness, thickness));
                    ren.setStroke(new BasicStroke(width));
                    plot.setRenderer(datasetIndex, ren);
                } else {
                    // default is lineStyle "line"
                    plot.setRenderer(datasetIndex, new XYLineAndShapeRenderer(true, false));
                }

                plot.getRenderer(datasetIndex).setSeriesPaint(seriesIndex, dd.getColor());

                // plot.getRenderer(datasetIndex).setShapesVisible(true);

                XYToolTipGenerator toolTipGenerator = StandardXYToolTipGenerator.getTimeSeriesInstance();
                XYURLGenerator urlGenerator = new MetadataInURLGenerator(designDescriptions);

                plot.getRenderer(datasetIndex).setBaseToolTipGenerator(toolTipGenerator);
                plot.getRenderer(datasetIndex).setURLGenerator(urlGenerator);

                // GRID:
                // PROBLEM: JFreeChart only allows to switch the grid on/off
                // for the whole XYPlot. And the
                // grid will always be displayed for the first series in the
                // plot. I'll always show the
                // grid.
                // --> plot.setDomainGridlinesVisible(visible)

                // RANGE AXIS LABELS:
                if (isOverview) {
                    plot.getRangeAxisForDataset(datasetIndex).setTickLabelsVisible(false);
                    plot.getRangeAxisForDataset(datasetIndex).setTickMarksVisible(false);
                    plot.getRangeAxisForDataset(datasetIndex).setVisible(false);
                } else {
                    plot.getRangeAxisForDataset(datasetIndex).setLabelFont(label);
                    plot.getRangeAxisForDataset(datasetIndex).setLabelPaint(LABEL_COLOR);
                    plot.getRangeAxisForDataset(datasetIndex).setTickLabelFont(tickLabelDomain);
                    plot.getRangeAxisForDataset(datasetIndex).setTickLabelPaint(LABEL_COLOR);
                    StringBuilder unitOfMeasure = new StringBuilder();
                    unitOfMeasure.append(dd.getPhenomenon().getLabel());
                    String uomLabel = dd.getUomLabel();
                    if (uomLabel != null && !uomLabel.isEmpty()) {
                        unitOfMeasure.append(" (").append(uomLabel).append(")");
                    }
                    plot.getRangeAxisForDataset(datasetIndex).setLabel(unitOfMeasure.toString());
                }
            }
        }
    }
    return chart;
}

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 a  va 2s  .c  om
    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:v800_trainer.JHistogram.java

public JPanel StartHistoSp(JCicloTronic JTronicHandle) {

    boolean Summenhisto;
    int von = 0;/*from www.j a v a2  s  .  c  om*/
    int bis = 0;
    int num = 0;
    int selected;
    int single;
    int Gruppen = 0;
    int i = 100;
    int j = 10;
    int m = 0;
    int n = 0;
    int Linecount = 0;
    int Anzahl = 1;

    JFreeChart chart;

    double DummyData[] = new double[1];

    selected = JTronicHandle.Auswahl_Histogramm.getSelectedIndex();
    Summenhisto = JTronicHandle.Summenhistogramm_Check.isSelected();

    chart = ChartFactory.createHistogram("", "Geschwindigkeit [km/h]", "Hufigkeit", new HistogramDataset(),
            PlotOrientation.HORIZONTAL, true, true, true);

    chart.setBackgroundPaint(Color.white);

    JTronicHandle.applyChartTheme(chart);

    XYPlot plot = chart.getXYPlot();
    plot.setOrientation(PlotOrientation.VERTICAL);
    plot.setBackgroundPaint(Color.lightGray);
    plot.setDomainGridlinePaint(Color.white);
    plot.setRangeGridlinePaint(Color.white);

    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));
    plot.getRangeAxis().setFixedDimension(15.0);

    ArrayList Bufferarray = new ArrayList();
    double Buffer;

    if (selected == 0) {
        single = 1;
    } else {
        single = 0;
        Summenhisto = false;
    }

    try {
        von = Integer.parseInt(JTronicHandle.Properties.getProperty("HistovonSp", "100"));
        bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisSp", "200"));
        Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepSp", "10"));
        Anzahl = (JTronicHandle.Auswahl_Histogramm.getItemCount() - 2) * single + 1;
        for (j = 0; j < Anzahl; j++) {
            if (single == 1) {
                selected = j + 1;
            }
            if (!Summenhisto) {
                num = JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            } else {
                num += JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            }

            n = 0;
            if (!Summenhisto) {
                create_Start_Stop(JTronicHandle, selected); //die limits einer gezoomten Graphik ermitteln

                for (i = start; i < stop; i++) {
                    Buffer = (double) JTronicHandle.Statistikhandle.TourData[selected].Geschw_gesZeit[i];
                    if (Buffer >= von && Buffer <= bis) {
                        Bufferarray.add(Buffer);
                    }
                }
            } else {
                for (i = 0; i < j + 1; i++) {
                    create_Start_Stop(JTronicHandle, i + 1);
                    for (m = start; m < stop; m++) {
                        Buffer = (double) JTronicHandle.Statistikhandle.TourData[i + 1].Geschw_gesZeit[m];
                        if (Buffer >= von && Buffer <= bis) {
                            Bufferarray.add(Buffer);
                        }

                    }
                }
            }

            DummyData = new double[Bufferarray.size()];

            for (i = 0; i < Bufferarray.size(); i++) {
                DummyData[i] = new Double(Bufferarray.get(i).toString());
            }

            if (!Summenhisto) {
                HistogramDataset histoHM = new HistogramDataset();
                histoHM.addSeries(
                        "" + JTronicHandle.Statistikhandle.TourData[selected].Tag + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Monat + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Jahr,
                        DummyData, Gruppen, (double) von, (double) bis);
                histoHM.setType(HistogramType.RELATIVE_FREQUENCY);
                plot.setDataset(Linecount, histoHM);
                plot.mapDatasetToRangeAxis(Linecount, 0);
                XYBarRenderer renderer = new XYBarRenderer();
                renderer.setDrawBarOutline(true);

                renderer.setSeriesPaint(0, getColour(Linecount, (int) 255 / Anzahl));

                renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());
                plot.setRenderer(Linecount, renderer);

            }
            Linecount++;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "StartHistoSp\nFehler: Sp " + e + " " + i + " " + j, "Achtung!",
                JOptionPane.ERROR_MESSAGE);
    }

    if (Summenhisto) {
        HistogramDataset histoHM = new HistogramDataset();
        histoHM.addSeries("Summenhistogram", DummyData, Gruppen, (double) von, (double) bis);
        histoHM.setType(HistogramType.RELATIVE_FREQUENCY);

        plot.setDataset(0, histoHM);
        plot.mapDatasetToRangeAxis(0, 0);
        XYItemRenderer renderer = new XYBarRenderer();
        renderer.setSeriesPaint(0, Color.blue);
        renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());

        plot.setRenderer(0, renderer);
    }
    chart.setPadding(padding);
    ChartPanel Panel = new ChartPanel(chart);

    return Panel;
}

From source file:v800_trainer.JHistogram.java

public JPanel StartHistoHm(JCicloTronic JTronicHandle) {

    boolean Summenhisto;
    int von = 0;/*from w  w w.j a v a 2  s  . c om*/
    int bis = 0;
    int num = 0;
    int selected;
    int single;
    int Gruppen = 0;
    int i = 100;
    int j = 10;
    int m = 0;
    int n = 0;
    int Linecount = 0;
    int Anzahl = 1;

    JFreeChart chart;

    double DummyData[] = new double[1];

    selected = JTronicHandle.Auswahl_Histogramm.getSelectedIndex();
    Summenhisto = JTronicHandle.Summenhistogramm_Check.isSelected();

    chart = ChartFactory.createHistogram("", "Steigung [m/min]", "Hufigkeit", new HistogramDataset(),
            PlotOrientation.HORIZONTAL, true, true, true);

    chart.setBackgroundPaint(Color.white);

    JTronicHandle.applyChartTheme(chart);

    XYPlot plot = chart.getXYPlot();
    plot.setOrientation(PlotOrientation.VERTICAL);
    plot.setBackgroundPaint(Color.lightGray);
    plot.setDomainGridlinePaint(Color.white);
    plot.setRangeGridlinePaint(Color.white);

    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));
    plot.getRangeAxis().setFixedDimension(15.0);

    ArrayList Bufferarray = new ArrayList();
    double Buffer;

    if (selected == 0) {
        single = 1;
    } else {
        single = 0;
        Summenhisto = false;
    }
    ;

    try {
        von = Integer.parseInt(JTronicHandle.Properties.getProperty("HistovonHm", "100"));
        bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisHm", "200"));
        Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepHm", "10"));
        Anzahl = (JTronicHandle.Auswahl_Histogramm.getItemCount() - 2) * single + 1;
        for (j = 0; j < Anzahl; j++) {
            if (single == 1) {
                selected = j + 1;
            }
            if (!Summenhisto) {
                num = JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            } else {
                num += JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            }

            n = 0;
            if (!Summenhisto) {
                create_Start_Stop(JTronicHandle, selected); //die limits einer gezoomten Graphik ermitteln

                for (i = start; i < stop; i++) {
                    Buffer = (double) JTronicHandle.Statistikhandle.TourData[selected].Steigm_gesZeit[i];
                    if (Buffer >= von && Buffer <= bis) {
                        Bufferarray.add(Buffer);
                    }
                }
            } else {
                for (i = 0; i < j + 1; i++) {
                    create_Start_Stop(JTronicHandle, i + 1);
                    for (m = start; m < stop; m++) {
                        Buffer = (double) JTronicHandle.Statistikhandle.TourData[i + 1].Steigm_gesZeit[m];
                        if (Buffer >= von && Buffer <= bis) {
                            Bufferarray.add(Buffer);
                        }

                    }

                }
            }

            DummyData = new double[Bufferarray.size()];

            for (i = 0; i < Bufferarray.size(); i++) {
                DummyData[i] = new Double(Bufferarray.get(i).toString());
            }

            if (!Summenhisto) {
                HistogramDataset histoHM = new HistogramDataset();
                histoHM.addSeries(
                        "" + JTronicHandle.Statistikhandle.TourData[selected].Tag + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Monat + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Jahr,
                        DummyData, Gruppen, (double) von, (double) bis);
                histoHM.setType(HistogramType.RELATIVE_FREQUENCY);
                plot.setDataset(Linecount, histoHM);
                plot.mapDatasetToRangeAxis(Linecount, 0);
                XYBarRenderer renderer = new XYBarRenderer();
                renderer.setDrawBarOutline(true);

                renderer.setSeriesPaint(0, getColour(Linecount, (int) 255 / Anzahl));

                renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());
                plot.setRenderer(Linecount, renderer);

            }
            Linecount++;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "StartHistoSp\nFehler: Hm " + e + " " + i + " " + j, "Achtung!",
                JOptionPane.ERROR_MESSAGE);
    }

    if (Summenhisto) {
        HistogramDataset histoHM = new HistogramDataset();
        histoHM.addSeries("Summenhistogram", DummyData, Gruppen, (double) von, (double) bis);
        histoHM.setType(HistogramType.RELATIVE_FREQUENCY);

        plot.setDataset(0, histoHM);
        plot.mapDatasetToRangeAxis(0, 0);
        XYItemRenderer renderer = new XYBarRenderer();
        renderer.setSeriesPaint(0, Color.blue);
        renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());

        plot.setRenderer(0, renderer);
    }
    chart.setPadding(padding);
    ChartPanel Panel = new ChartPanel(chart);

    return Panel;
}

From source file:v800_trainer.JHistogram.java

public JPanel StartHistoSchrittlnge(JCicloTronic JTronicHandle) {

    boolean Summenhisto;
    int von = 0;/*from   w  ww  .  ja v a 2 s  .  c om*/
    int bis = 0;
    int num = 0;
    int selected;
    int single;
    int Gruppen = 0;
    int i = 100;
    int j = 10;
    int m = 0;
    int n = 0;
    int Linecount = 0;
    int Anzahl = 1;

    JFreeChart chart;

    double DummyData[] = new double[1];

    selected = JTronicHandle.Auswahl_Histogramm.getSelectedIndex();
    Summenhisto = JTronicHandle.Summenhistogramm_Check.isSelected();

    chart = ChartFactory.createHistogram("", "Schrittlnge [cm]", "Hufigkeit", new HistogramDataset(),
            PlotOrientation.HORIZONTAL, true, true, true);

    chart.setBackgroundPaint(Color.white);

    JTronicHandle.applyChartTheme(chart);

    XYPlot plot = chart.getXYPlot();
    plot.setOrientation(PlotOrientation.VERTICAL);
    plot.setBackgroundPaint(Color.lightGray);
    plot.setDomainGridlinePaint(Color.white);
    plot.setRangeGridlinePaint(Color.white);

    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));
    plot.getRangeAxis().setFixedDimension(15.0);

    ArrayList Bufferarray = new ArrayList();
    double Buffer;

    if (selected == 0) {
        single = 1;
    } else {
        single = 0;
        Summenhisto = false;
    }

    try {
        von = Integer.parseInt(JTronicHandle.Properties.getProperty("HistovonSchrittlnge", "100"));
        bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisSchrittlnge", "200"));
        Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepSchrittlnge", "10"));
        Anzahl = (JTronicHandle.Auswahl_Histogramm.getItemCount() - 2) * single + 1;
        for (j = 0; j < Anzahl; j++) {
            if (single == 1) {
                selected = j + 1;
            }
            if (!Summenhisto) {
                num = JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            } else {
                num += JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            }

            n = 0;
            if (!Summenhisto) {
                create_Start_Stop(JTronicHandle, selected); //die limits einer gezoomten Graphik ermitteln

                for (i = start; i < stop; i++) {
                    Buffer = (double) JTronicHandle.Statistikhandle.TourData[selected].Schritt_lnge[i];
                    if (Buffer >= von && Buffer <= bis) {
                        Bufferarray.add(Buffer);
                    }
                }
            } else {
                for (i = 0; i < j + 1; i++) {
                    create_Start_Stop(JTronicHandle, i + 1);
                    for (m = start; m < stop; m++) {
                        Buffer = (double) JTronicHandle.Statistikhandle.TourData[i + 1].Schritt_lnge[m];
                        if (Buffer >= von && Buffer <= bis) {
                            Bufferarray.add(Buffer);
                        }

                    }

                }
            }

            DummyData = new double[Bufferarray.size()];

            for (i = 0; i < Bufferarray.size(); i++) {
                DummyData[i] = new Double(Bufferarray.get(i).toString());
            }

            if (!Summenhisto) {
                HistogramDataset histoHM = new HistogramDataset();
                histoHM.addSeries(
                        "" + JTronicHandle.Statistikhandle.TourData[selected].Tag + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Monat + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Jahr,
                        DummyData, Gruppen, (double) von, (double) bis);
                histoHM.setType(HistogramType.RELATIVE_FREQUENCY);
                plot.setDataset(Linecount, histoHM);
                plot.mapDatasetToRangeAxis(Linecount, 0);
                XYBarRenderer renderer = new XYBarRenderer();
                renderer.setDrawBarOutline(true);

                renderer.setSeriesPaint(0, getColour(Linecount, (int) 255 / Anzahl));

                renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());
                plot.setRenderer(Linecount, renderer);

            }
            Linecount++;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "StartHistoSchrittlnge\nFehler: Hm " + e + " " + i + " " + j,
                "Achtung!", JOptionPane.ERROR_MESSAGE);
    }

    if (Summenhisto) {
        HistogramDataset histoHM = new HistogramDataset();
        histoHM.addSeries("Summenhistogram", DummyData, Gruppen, (double) von, (double) bis);
        histoHM.setType(HistogramType.RELATIVE_FREQUENCY);

        plot.setDataset(0, histoHM);
        plot.mapDatasetToRangeAxis(0, 0);
        XYItemRenderer renderer = new XYBarRenderer();
        renderer.setSeriesPaint(0, Color.blue);
        renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());

        plot.setRenderer(0, renderer);
    }
    chart.setPadding(padding);
    ChartPanel Panel = new ChartPanel(chart);

    return Panel;
}

From source file:v800_trainer.JHistogram.java

public JPanel StartHistoCd(JCicloTronic JTronicHandle) {

    boolean Summenhisto;
    int von = 0;/* w w w  .j  ava2 s  . c  om*/
    int bis = 0;
    int num = 0;
    int selected;
    int single;
    int Gruppen = 0;
    int i = 100;
    int j = 10;
    int m = 0;
    int n = 0;
    int Linecount = 0;
    int Anzahl = 1;

    JFreeChart chart;

    double DummyData[] = new double[1];

    selected = JTronicHandle.Auswahl_Histogramm.getSelectedIndex();
    Summenhisto = JTronicHandle.Summenhistogramm_Check.isSelected();

    chart = ChartFactory.createHistogram("", "Cadence [n/min]", "Hufigkeit", new HistogramDataset(),
            PlotOrientation.HORIZONTAL, true, true, true);

    chart.setBackgroundPaint(Color.white);

    JTronicHandle.applyChartTheme(chart);

    XYPlot plot = chart.getXYPlot();
    plot.setOrientation(PlotOrientation.VERTICAL);
    plot.setBackgroundPaint(Color.lightGray);
    plot.setDomainGridlinePaint(Color.white);
    plot.setRangeGridlinePaint(Color.white);

    plot.setAxisOffset(new RectangleInsets(5.0, 5.0, 5.0, 5.0));
    plot.getRangeAxis().setFixedDimension(15.0);

    ArrayList Bufferarray = new ArrayList();
    double Buffer;

    if (selected == 0) {
        single = 1;
    } else {
        single = 0;
        Summenhisto = false;
    }

    try {
        von = Integer.parseInt(JTronicHandle.Properties.getProperty("HistovonCd", "100"));
        bis = Integer.parseInt(JTronicHandle.Properties.getProperty("HistobisCd", "200"));
        Gruppen = Integer.parseInt(JTronicHandle.Properties.getProperty("HistostepCd", "10"));
        Anzahl = (JTronicHandle.Auswahl_Histogramm.getItemCount() - 2) * single + 1;
        for (j = 0; j < Anzahl; j++) {
            if (single == 1) {
                selected = j + 1;
            }
            if (!Summenhisto) {
                num = JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            } else {
                num += JTronicHandle.Statistikhandle.TourData[selected].Datenpunkte;
            }

            n = 0;
            if (!Summenhisto) {
                create_Start_Stop(JTronicHandle, selected); //die limits einer gezoomten Graphik ermitteln

                for (i = start; i < stop; i++) {
                    Buffer = (double) JTronicHandle.Statistikhandle.TourData[selected].Cadence_gesZeit[i];
                    if (Buffer >= von && Buffer <= bis) {
                        Bufferarray.add(Buffer);
                    }
                }
            } else {
                for (i = 0; i < j + 1; i++) {
                    create_Start_Stop(JTronicHandle, i + 1);

                    for (m = start; m < stop; m++) {
                        Buffer = (double) JTronicHandle.Statistikhandle.TourData[i + 1].Cadence_gesZeit[m];
                        if (Buffer >= von && Buffer <= bis) {
                            Bufferarray.add(Buffer);
                        }

                    }
                    n += m;
                }
            }

            DummyData = new double[Bufferarray.size()];

            for (i = 0; i < Bufferarray.size(); i++) {
                DummyData[i] = new Double(Bufferarray.get(i).toString());
            }

            if (!Summenhisto) {
                HistogramDataset histoHM = new HistogramDataset();
                histoHM.addSeries(
                        "" + JTronicHandle.Statistikhandle.TourData[selected].Tag + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Monat + "."
                                + JTronicHandle.Statistikhandle.TourData[selected].Jahr,
                        DummyData, Gruppen, (double) von, (double) bis);
                histoHM.setType(HistogramType.RELATIVE_FREQUENCY);
                plot.setDataset(Linecount, histoHM);
                plot.mapDatasetToRangeAxis(Linecount, 0);
                XYBarRenderer renderer = new XYBarRenderer();
                renderer.setDrawBarOutline(true);

                renderer.setSeriesPaint(0, getColour(Linecount, (int) 255 / Anzahl));

                renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());
                plot.setRenderer(Linecount, renderer);

            }
            Linecount++;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "StartHistoCd\nFehler: Cd " + e + " " + i + " " + j, "Achtung!",
                JOptionPane.ERROR_MESSAGE);
    }

    if (Summenhisto) {
        HistogramDataset histoHM = new HistogramDataset();
        histoHM.addSeries("Summenhistogram", DummyData, Gruppen, (double) von, (double) bis);
        histoHM.setType(HistogramType.RELATIVE_FREQUENCY);

        plot.setDataset(0, histoHM);
        plot.mapDatasetToRangeAxis(0, 0);
        XYItemRenderer renderer = new XYBarRenderer();
        renderer.setSeriesPaint(0, Color.blue);
        renderer.setBaseToolTipGenerator(new StandardXYToolTipGenerator());

        plot.setRenderer(0, renderer);
    }
    ;
    chart.setPadding(padding);
    ChartPanel Panel = new ChartPanel(chart);

    return Panel;

}