Examples with BoxAndWhiskerXYDataset org.jfree.data.statistics.BoxAndWhiskerXYDataset used on opensource projects

Example 1 with BoxAndWhiskerXYDataset

use of org.jfree.data.statistics.BoxAndWhiskerXYDataset in project SIMVA-SoS by SESoS.

the class DatasetUtilities method iterateToFindRangeBounds.

/**
 * Returns the range of y-values in the specified dataset for the
 * data items belonging to the visible series and with x-values in the
 * given range.
 *
 * @param dataset  the dataset (<code>null</code> not permitted).
 * @param visibleSeriesKeys  the visible series keys (<code>null</code> not
 *     permitted).
 * @param xRange  the x-range (<code>null</code> not permitted).
 * @param includeInterval  a flag that determines whether or not the
 *     y-interval for the dataset is included (this only applies if the
 *     dataset is an instance of IntervalXYDataset).
 *
 * @return The y-range (possibly <code>null</code>).
 *
 * @since 1.0.13
 */
public static Range iterateToFindRangeBounds(XYDataset dataset, List visibleSeriesKeys, Range xRange, boolean includeInterval) {
    ParamChecks.nullNotPermitted(dataset, "dataset");
    ParamChecks.nullNotPermitted(visibleSeriesKeys, "visibleSeriesKeys");
    ParamChecks.nullNotPermitted(xRange, "xRange");
    double minimum = Double.POSITIVE_INFINITY;
    double maximum = Double.NEGATIVE_INFINITY;
    // handle three cases by dataset type
    if (includeInterval && dataset instanceof OHLCDataset) {
        // handle special case of OHLCDataset
        OHLCDataset ohlc = (OHLCDataset) dataset;
        Iterator iterator = visibleSeriesKeys.iterator();
        while (iterator.hasNext()) {
            Comparable seriesKey = (Comparable) iterator.next();
            int series = dataset.indexOf(seriesKey);
            int itemCount = dataset.getItemCount(series);
            for (int item = 0; item < itemCount; item++) {
                double x = ohlc.getXValue(series, item);
                if (xRange.contains(x)) {
                    double lvalue = ohlc.getLowValue(series, item);
                    double uvalue = ohlc.getHighValue(series, item);
                    if (!Double.isNaN(lvalue)) {
                        minimum = Math.min(minimum, lvalue);
                    }
                    if (!Double.isNaN(uvalue)) {
                        maximum = Math.max(maximum, uvalue);
                    }
                }
            }
        }
    } else if (includeInterval && dataset instanceof BoxAndWhiskerXYDataset) {
        // handle special case of BoxAndWhiskerXYDataset
        BoxAndWhiskerXYDataset bx = (BoxAndWhiskerXYDataset) dataset;
        Iterator iterator = visibleSeriesKeys.iterator();
        while (iterator.hasNext()) {
            Comparable seriesKey = (Comparable) iterator.next();
            int series = dataset.indexOf(seriesKey);
            int itemCount = dataset.getItemCount(series);
            for (int item = 0; item < itemCount; item++) {
                double x = bx.getXValue(series, item);
                if (xRange.contains(x)) {
                    Number lvalue = bx.getMinRegularValue(series, item);
                    Number uvalue = bx.getMaxRegularValue(series, item);
                    if (lvalue != null) {
                        minimum = Math.min(minimum, lvalue.doubleValue());
                    }
                    if (uvalue != null) {
                        maximum = Math.max(maximum, uvalue.doubleValue());
                    }
                }
            }
        }
    } else if (includeInterval && dataset instanceof IntervalXYDataset) {
        // handle special case of IntervalXYDataset
        IntervalXYDataset ixyd = (IntervalXYDataset) dataset;
        Iterator iterator = visibleSeriesKeys.iterator();
        while (iterator.hasNext()) {
            Comparable seriesKey = (Comparable) iterator.next();
            int series = dataset.indexOf(seriesKey);
            int itemCount = dataset.getItemCount(series);
            for (int item = 0; item < itemCount; item++) {
                double x = ixyd.getXValue(series, item);
                if (xRange.contains(x)) {
                    double lvalue = ixyd.getStartYValue(series, item);
                    double uvalue = ixyd.getEndYValue(series, item);
                    if (!Double.isNaN(lvalue)) {
                        minimum = Math.min(minimum, lvalue);
                    }
                    if (!Double.isNaN(uvalue)) {
                        maximum = Math.max(maximum, uvalue);
                    }
                }
            }
        }
    } else {
        // standard case - plain XYDataset
        Iterator iterator = visibleSeriesKeys.iterator();
        while (iterator.hasNext()) {
            Comparable seriesKey = (Comparable) iterator.next();
            int series = dataset.indexOf(seriesKey);
            int itemCount = dataset.getItemCount(series);
            for (int item = 0; item < itemCount; item++) {
                double x = dataset.getXValue(series, item);
                double y = dataset.getYValue(series, item);
                if (xRange.contains(x)) {
                    if (!Double.isNaN(y)) {
                        minimum = Math.min(minimum, y);
                        maximum = Math.max(maximum, y);
                    }
                }
            }
        }
    }
    if (minimum == Double.POSITIVE_INFINITY) {
        return null;
    } else {
        return new Range(minimum, maximum);
    }
}

Example 2 with BoxAndWhiskerXYDataset

use of org.jfree.data.statistics.BoxAndWhiskerXYDataset in project SIMVA-SoS by SESoS.

the class BoxAndWhiskerXYToolTipGenerator method createItemArray.

/**
 * Creates the array of items that can be passed to the
 * {@link MessageFormat} class for creating labels.
 *
 * @param dataset  the dataset (<code>null</code> not permitted).
 * @param series  the series (zero-based index).
 * @param item  the item (zero-based index).
 *
 * @return The items (never <code>null</code>).
 */
@Override
protected Object[] createItemArray(XYDataset dataset, int series, int item) {
    Object[] result = new Object[8];
    result[0] = dataset.getSeriesKey(series).toString();
    Number x = dataset.getX(series, item);
    if (getXDateFormat() != null) {
        result[1] = getXDateFormat().format(new Date(x.longValue()));
    } else {
        result[1] = getXFormat().format(x);
    }
    NumberFormat formatter = getYFormat();
    if (dataset instanceof BoxAndWhiskerXYDataset) {
        BoxAndWhiskerXYDataset d = (BoxAndWhiskerXYDataset) dataset;
        result[2] = formatter.format(d.getMeanValue(series, item));
        result[3] = formatter.format(d.getMedianValue(series, item));
        result[4] = formatter.format(d.getMinRegularValue(series, item));
        result[5] = formatter.format(d.getMaxRegularValue(series, item));
        result[6] = formatter.format(d.getQ1Value(series, item));
        result[7] = formatter.format(d.getQ3Value(series, item));
    }
    return result;
}

Example 3 with BoxAndWhiskerXYDataset

use of org.jfree.data.statistics.BoxAndWhiskerXYDataset in project SIMVA-SoS by SESoS.

the class XYBoxAndWhiskerRenderer method drawHorizontalItem.

/**
 * Draws the visual representation of a single data item.
 *
 * @param g2  the graphics device.
 * @param dataArea  the area within which the plot is being drawn.
 * @param info  collects info about the drawing.
 * @param plot  the plot (can be used to obtain standard color
 *              information etc).
 * @param domainAxis  the domain axis.
 * @param rangeAxis  the range axis.
 * @param dataset  the dataset (must be an instance of
 *                 {@link BoxAndWhiskerXYDataset}).
 * @param series  the series index (zero-based).
 * @param item  the item index (zero-based).
 * @param crosshairState  crosshair information for the plot
 *                        (<code>null</code> permitted).
 * @param pass  the pass index.
 */
public void drawHorizontalItem(Graphics2D g2, Rectangle2D dataArea, PlotRenderingInfo info, XYPlot plot, ValueAxis domainAxis, ValueAxis rangeAxis, XYDataset dataset, int series, int item, CrosshairState crosshairState, int pass) {
    // setup for collecting optional entity info...
    EntityCollection entities = null;
    if (info != null) {
        entities = info.getOwner().getEntityCollection();
    }
    BoxAndWhiskerXYDataset boxAndWhiskerData = (BoxAndWhiskerXYDataset) dataset;
    Number x = boxAndWhiskerData.getX(series, item);
    Number yMax = boxAndWhiskerData.getMaxRegularValue(series, item);
    Number yMin = boxAndWhiskerData.getMinRegularValue(series, item);
    Number yMedian = boxAndWhiskerData.getMedianValue(series, item);
    Number yAverage = boxAndWhiskerData.getMeanValue(series, item);
    Number yQ1Median = boxAndWhiskerData.getQ1Value(series, item);
    Number yQ3Median = boxAndWhiskerData.getQ3Value(series, item);
    double xx = domainAxis.valueToJava2D(x.doubleValue(), dataArea, plot.getDomainAxisEdge());
    RectangleEdge location = plot.getRangeAxisEdge();
    double yyMax = rangeAxis.valueToJava2D(yMax.doubleValue(), dataArea, location);
    double yyMin = rangeAxis.valueToJava2D(yMin.doubleValue(), dataArea, location);
    double yyMedian = rangeAxis.valueToJava2D(yMedian.doubleValue(), dataArea, location);
    double yyAverage = 0.0;
    if (yAverage != null) {
        yyAverage = rangeAxis.valueToJava2D(yAverage.doubleValue(), dataArea, location);
    }
    double yyQ1Median = rangeAxis.valueToJava2D(yQ1Median.doubleValue(), dataArea, location);
    double yyQ3Median = rangeAxis.valueToJava2D(yQ3Median.doubleValue(), dataArea, location);
    double exactBoxWidth = getBoxWidth();
    double width = exactBoxWidth;
    double dataAreaX = dataArea.getHeight();
    double maxBoxPercent = 0.1;
    double maxBoxWidth = dataAreaX * maxBoxPercent;
    if (exactBoxWidth <= 0.0) {
        int itemCount = boxAndWhiskerData.getItemCount(series);
        exactBoxWidth = dataAreaX / itemCount * 4.5 / 7;
        if (exactBoxWidth < 3) {
            width = 3;
        } else if (exactBoxWidth > maxBoxWidth) {
            width = maxBoxWidth;
        } else {
            width = exactBoxWidth;
        }
    }
    g2.setPaint(getItemPaint(series, item));
    Stroke s = getItemStroke(series, item);
    g2.setStroke(s);
    // draw the upper shadow
    g2.draw(new Line2D.Double(yyMax, xx, yyQ3Median, xx));
    g2.draw(new Line2D.Double(yyMax, xx - width / 2, yyMax, xx + width / 2));
    // draw the lower shadow
    g2.draw(new Line2D.Double(yyMin, xx, yyQ1Median, xx));
    g2.draw(new Line2D.Double(yyMin, xx - width / 2, yyMin, xx + width / 2));
    // draw the body
    Shape box;
    if (yyQ1Median < yyQ3Median) {
        box = new Rectangle2D.Double(yyQ1Median, xx - width / 2, yyQ3Median - yyQ1Median, width);
    } else {
        box = new Rectangle2D.Double(yyQ3Median, xx - width / 2, yyQ1Median - yyQ3Median, width);
    }
    if (this.fillBox) {
        g2.setPaint(lookupBoxPaint(series, item));
        g2.fill(box);
    }
    g2.setStroke(getItemOutlineStroke(series, item));
    g2.setPaint(getItemOutlinePaint(series, item));
    g2.draw(box);
    // draw median
    g2.setPaint(getArtifactPaint());
    g2.draw(new Line2D.Double(yyMedian, xx - width / 2, yyMedian, xx + width / 2));
    // draw average - SPECIAL AIMS REQUIREMENT
    if (yAverage != null) {
        double aRadius = width / 4;
        // before drawing it...
        if ((yyAverage > (dataArea.getMinX() - aRadius)) && (yyAverage < (dataArea.getMaxX() + aRadius))) {
            Ellipse2D.Double avgEllipse = new Ellipse2D.Double(yyAverage - aRadius, xx - aRadius, aRadius * 2, aRadius * 2);
            g2.fill(avgEllipse);
            g2.draw(avgEllipse);
        }
    }
    // add an entity for the item...
    if (entities != null && box.intersects(dataArea)) {
        addEntity(entities, box, dataset, series, item, yyAverage, xx);
    }
}

Example 4 with BoxAndWhiskerXYDataset

use of org.jfree.data.statistics.BoxAndWhiskerXYDataset in project SIMVA-SoS by SESoS.

the class XYBoxAndWhiskerRenderer method drawVerticalItem.

/**
 * Draws the visual representation of a single data item.
 *
 * @param g2  the graphics device.
 * @param dataArea  the area within which the plot is being drawn.
 * @param info  collects info about the drawing.
 * @param plot  the plot (can be used to obtain standard color
 *              information etc).
 * @param domainAxis  the domain axis.
 * @param rangeAxis  the range axis.
 * @param dataset  the dataset (must be an instance of
 *                 {@link BoxAndWhiskerXYDataset}).
 * @param series  the series index (zero-based).
 * @param item  the item index (zero-based).
 * @param crosshairState  crosshair information for the plot
 *                        (<code>null</code> permitted).
 * @param pass  the pass index.
 */
public void drawVerticalItem(Graphics2D g2, Rectangle2D dataArea, PlotRenderingInfo info, XYPlot plot, ValueAxis domainAxis, ValueAxis rangeAxis, XYDataset dataset, int series, int item, CrosshairState crosshairState, int pass) {
    // setup for collecting optional entity info...
    EntityCollection entities = null;
    if (info != null) {
        entities = info.getOwner().getEntityCollection();
    }
    BoxAndWhiskerXYDataset boxAndWhiskerData = (BoxAndWhiskerXYDataset) dataset;
    Number x = boxAndWhiskerData.getX(series, item);
    Number yMax = boxAndWhiskerData.getMaxRegularValue(series, item);
    Number yMin = boxAndWhiskerData.getMinRegularValue(series, item);
    Number yMedian = boxAndWhiskerData.getMedianValue(series, item);
    Number yAverage = boxAndWhiskerData.getMeanValue(series, item);
    Number yQ1Median = boxAndWhiskerData.getQ1Value(series, item);
    Number yQ3Median = boxAndWhiskerData.getQ3Value(series, item);
    List yOutliers = boxAndWhiskerData.getOutliers(series, item);
    // that case...
    if (yOutliers == null) {
        yOutliers = Collections.EMPTY_LIST;
    }
    double xx = domainAxis.valueToJava2D(x.doubleValue(), dataArea, plot.getDomainAxisEdge());
    RectangleEdge location = plot.getRangeAxisEdge();
    double yyMax = rangeAxis.valueToJava2D(yMax.doubleValue(), dataArea, location);
    double yyMin = rangeAxis.valueToJava2D(yMin.doubleValue(), dataArea, location);
    double yyMedian = rangeAxis.valueToJava2D(yMedian.doubleValue(), dataArea, location);
    double yyAverage = 0.0;
    if (yAverage != null) {
        yyAverage = rangeAxis.valueToJava2D(yAverage.doubleValue(), dataArea, location);
    }
    double yyQ1Median = rangeAxis.valueToJava2D(yQ1Median.doubleValue(), dataArea, location);
    double yyQ3Median = rangeAxis.valueToJava2D(yQ3Median.doubleValue(), dataArea, location);
    double yyOutlier;
    double exactBoxWidth = getBoxWidth();
    double width = exactBoxWidth;
    double dataAreaX = dataArea.getMaxX() - dataArea.getMinX();
    double maxBoxPercent = 0.1;
    double maxBoxWidth = dataAreaX * maxBoxPercent;
    if (exactBoxWidth <= 0.0) {
        int itemCount = boxAndWhiskerData.getItemCount(series);
        exactBoxWidth = dataAreaX / itemCount * 4.5 / 7;
        if (exactBoxWidth < 3) {
            width = 3;
        } else if (exactBoxWidth > maxBoxWidth) {
            width = maxBoxWidth;
        } else {
            width = exactBoxWidth;
        }
    }
    g2.setPaint(getItemPaint(series, item));
    Stroke s = getItemStroke(series, item);
    g2.setStroke(s);
    // draw the upper shadow
    g2.draw(new Line2D.Double(xx, yyMax, xx, yyQ3Median));
    g2.draw(new Line2D.Double(xx - width / 2, yyMax, xx + width / 2, yyMax));
    // draw the lower shadow
    g2.draw(new Line2D.Double(xx, yyMin, xx, yyQ1Median));
    g2.draw(new Line2D.Double(xx - width / 2, yyMin, xx + width / 2, yyMin));
    // draw the body
    Shape box;
    if (yyQ1Median > yyQ3Median) {
        box = new Rectangle2D.Double(xx - width / 2, yyQ3Median, width, yyQ1Median - yyQ3Median);
    } else {
        box = new Rectangle2D.Double(xx - width / 2, yyQ1Median, width, yyQ3Median - yyQ1Median);
    }
    if (this.fillBox) {
        g2.setPaint(lookupBoxPaint(series, item));
        g2.fill(box);
    }
    g2.setStroke(getItemOutlineStroke(series, item));
    g2.setPaint(getItemOutlinePaint(series, item));
    g2.draw(box);
    // draw median
    g2.setPaint(getArtifactPaint());
    g2.draw(new Line2D.Double(xx - width / 2, yyMedian, xx + width / 2, yyMedian));
    // average radius
    double aRadius = 0;
    // outlier radius
    double oRadius = width / 3;
    // draw average - SPECIAL AIMS REQUIREMENT
    if (yAverage != null) {
        aRadius = width / 4;
        // before drawing it...
        if ((yyAverage > (dataArea.getMinY() - aRadius)) && (yyAverage < (dataArea.getMaxY() + aRadius))) {
            Ellipse2D.Double avgEllipse = new Ellipse2D.Double(xx - aRadius, yyAverage - aRadius, aRadius * 2, aRadius * 2);
            g2.fill(avgEllipse);
            g2.draw(avgEllipse);
        }
    }
    List outliers = new ArrayList();
    OutlierListCollection outlierListCollection = new OutlierListCollection();
    /* From outlier array sort out which are outliers and put these into
         * an arraylist. If there are any farouts, set the flag on the
         * OutlierListCollection
         */
    for (int i = 0; i < yOutliers.size(); i++) {
        double outlier = ((Number) yOutliers.get(i)).doubleValue();
        if (outlier > boxAndWhiskerData.getMaxOutlier(series, item).doubleValue()) {
            outlierListCollection.setHighFarOut(true);
        } else if (outlier < boxAndWhiskerData.getMinOutlier(series, item).doubleValue()) {
            outlierListCollection.setLowFarOut(true);
        } else if (outlier > boxAndWhiskerData.getMaxRegularValue(series, item).doubleValue()) {
            yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
            outliers.add(new Outlier(xx, yyOutlier, oRadius));
        } else if (outlier < boxAndWhiskerData.getMinRegularValue(series, item).doubleValue()) {
            yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
            outliers.add(new Outlier(xx, yyOutlier, oRadius));
        }
        Collections.sort(outliers);
    }
    // outlier list or a new outlier list is made
    for (Iterator iterator = outliers.iterator(); iterator.hasNext(); ) {
        Outlier outlier = (Outlier) iterator.next();
        outlierListCollection.add(outlier);
    }
    // draw yOutliers
    double maxAxisValue = rangeAxis.valueToJava2D(rangeAxis.getUpperBound(), dataArea, location) + aRadius;
    double minAxisValue = rangeAxis.valueToJava2D(rangeAxis.getLowerBound(), dataArea, location) - aRadius;
    // draw outliers
    for (Iterator iterator = outlierListCollection.iterator(); iterator.hasNext(); ) {
        OutlierList list = (OutlierList) iterator.next();
        Outlier outlier = list.getAveragedOutlier();
        Point2D point = outlier.getPoint();
        if (list.isMultiple()) {
            drawMultipleEllipse(point, width, oRadius, g2);
        } else {
            drawEllipse(point, oRadius, g2);
        }
    }
    // draw farout
    if (outlierListCollection.isHighFarOut()) {
        drawHighFarOut(aRadius, g2, xx, maxAxisValue);
    }
    if (outlierListCollection.isLowFarOut()) {
        drawLowFarOut(aRadius, g2, xx, minAxisValue);
    }
    // add an entity for the item...
    if (entities != null && box.intersects(dataArea)) {
        addEntity(entities, box, dataset, series, item, xx, yyAverage);
    }
}