Examples with Outlier org.jfree.chart.renderer.Outlier used on opensource projects

Example 1 with Outlier

use of org.jfree.chart.renderer.Outlier in project SIMVA-SoS by SESoS.

the class BoxAndWhiskerRenderer method drawVerticalItem.

/**
 * Draws the visual representation of a single data item when the plot has
 * a vertical orientation.
 *
 * @param g2  the graphics device.
 * @param state  the renderer state.
 * @param dataArea  the area within which the plot is being drawn.
 * @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 BoxAndWhiskerCategoryDataset}).
 * @param row  the row index (zero-based).
 * @param column  the column index (zero-based).
 */
public void drawVerticalItem(Graphics2D g2, CategoryItemRendererState state, Rectangle2D dataArea, CategoryPlot plot, CategoryAxis domainAxis, ValueAxis rangeAxis, CategoryDataset dataset, int row, int column) {
    BoxAndWhiskerCategoryDataset bawDataset = (BoxAndWhiskerCategoryDataset) dataset;
    double categoryEnd = domainAxis.getCategoryEnd(column, getColumnCount(), dataArea, plot.getDomainAxisEdge());
    double categoryStart = domainAxis.getCategoryStart(column, getColumnCount(), dataArea, plot.getDomainAxisEdge());
    double categoryWidth = categoryEnd - categoryStart;
    double xx = categoryStart;
    int seriesCount = getRowCount();
    int categoryCount = getColumnCount();
    if (seriesCount > 1) {
        double seriesGap = dataArea.getWidth() * getItemMargin() / (categoryCount * (seriesCount - 1));
        double usedWidth = (state.getBarWidth() * seriesCount) + (seriesGap * (seriesCount - 1));
        // offset the start of the boxes if the total width used is smaller
        // than the category width
        double offset = (categoryWidth - usedWidth) / 2;
        xx = xx + offset + (row * (state.getBarWidth() + seriesGap));
    } else {
        // offset the start of the box if the box width is smaller than the
        // category width
        double offset = (categoryWidth - state.getBarWidth()) / 2;
        xx = xx + offset;
    }
    double yyAverage;
    double yyOutlier;
    Paint itemPaint = getItemPaint(row, column);
    g2.setPaint(itemPaint);
    Stroke s = getItemStroke(row, column);
    g2.setStroke(s);
    // average radius
    double aRadius = 0;
    RectangleEdge location = plot.getRangeAxisEdge();
    Number yQ1 = bawDataset.getQ1Value(row, column);
    Number yQ3 = bawDataset.getQ3Value(row, column);
    Number yMax = bawDataset.getMaxRegularValue(row, column);
    Number yMin = bawDataset.getMinRegularValue(row, column);
    Shape box = null;
    if (yQ1 != null && yQ3 != null && yMax != null && yMin != null) {
        double yyQ1 = rangeAxis.valueToJava2D(yQ1.doubleValue(), dataArea, location);
        double yyQ3 = rangeAxis.valueToJava2D(yQ3.doubleValue(), dataArea, location);
        double yyMax = rangeAxis.valueToJava2D(yMax.doubleValue(), dataArea, location);
        double yyMin = rangeAxis.valueToJava2D(yMin.doubleValue(), dataArea, location);
        double xxmid = xx + state.getBarWidth() / 2.0;
        double halfW = (state.getBarWidth() / 2.0) * this.whiskerWidth;
        // draw the body...
        box = new Rectangle2D.Double(xx, Math.min(yyQ1, yyQ3), state.getBarWidth(), Math.abs(yyQ1 - yyQ3));
        if (this.fillBox) {
            g2.fill(box);
        }
        Paint outlinePaint = getItemOutlinePaint(row, column);
        if (this.useOutlinePaintForWhiskers) {
            g2.setPaint(outlinePaint);
        }
        // draw the upper shadow...
        g2.draw(new Line2D.Double(xxmid, yyMax, xxmid, yyQ3));
        g2.draw(new Line2D.Double(xxmid - halfW, yyMax, xxmid + halfW, yyMax));
        // draw the lower shadow...
        g2.draw(new Line2D.Double(xxmid, yyMin, xxmid, yyQ1));
        g2.draw(new Line2D.Double(xxmid - halfW, yyMin, xxmid + halfW, yyMin));
        g2.setStroke(getItemOutlineStroke(row, column));
        g2.setPaint(outlinePaint);
        g2.draw(box);
    }
    g2.setPaint(this.artifactPaint);
    // draw mean - SPECIAL AIMS REQUIREMENT...
    if (this.meanVisible) {
        Number yMean = bawDataset.getMeanValue(row, column);
        if (yMean != null) {
            yyAverage = rangeAxis.valueToJava2D(yMean.doubleValue(), dataArea, location);
            aRadius = state.getBarWidth() / 4;
            // visible 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);
            }
        }
    }
    // draw median...
    if (this.medianVisible) {
        Number yMedian = bawDataset.getMedianValue(row, column);
        if (yMedian != null) {
            double yyMedian = rangeAxis.valueToJava2D(yMedian.doubleValue(), dataArea, location);
            g2.draw(new Line2D.Double(xx, yyMedian, xx + state.getBarWidth(), yyMedian));
        }
    }
    // draw yOutliers...
    double maxAxisValue = rangeAxis.valueToJava2D(rangeAxis.getUpperBound(), dataArea, location) + aRadius;
    double minAxisValue = rangeAxis.valueToJava2D(rangeAxis.getLowerBound(), dataArea, location) - aRadius;
    g2.setPaint(itemPaint);
    // draw outliers
    // outlier radius
    double oRadius = state.getBarWidth() / 3;
    List outliers = new ArrayList();
    OutlierListCollection outlierListCollection = new OutlierListCollection();
    // From outlier array sort out which are outliers and put these into a
    // list If there are any farouts, set the flag on the
    // OutlierListCollection
    List yOutliers = bawDataset.getOutliers(row, column);
    if (yOutliers != null) {
        for (int i = 0; i < yOutliers.size(); i++) {
            double outlier = ((Number) yOutliers.get(i)).doubleValue();
            Number minOutlier = bawDataset.getMinOutlier(row, column);
            Number maxOutlier = bawDataset.getMaxOutlier(row, column);
            Number minRegular = bawDataset.getMinRegularValue(row, column);
            Number maxRegular = bawDataset.getMaxRegularValue(row, column);
            if (outlier > maxOutlier.doubleValue()) {
                outlierListCollection.setHighFarOut(true);
            } else if (outlier < minOutlier.doubleValue()) {
                outlierListCollection.setLowFarOut(true);
            } else if (outlier > maxRegular.doubleValue()) {
                yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
                outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius));
            } else if (outlier < minRegular.doubleValue()) {
                yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
                outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius));
            }
            Collections.sort(outliers);
        }
        // appropriate outlier list or a new outlier list is made
        for (Iterator iterator = outliers.iterator(); iterator.hasNext(); ) {
            Outlier outlier = (Outlier) iterator.next();
            outlierListCollection.add(outlier);
        }
        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, state.getBarWidth(), oRadius, g2);
            } else {
                drawEllipse(point, oRadius, g2);
            }
        }
        // draw farout indicators
        if (outlierListCollection.isHighFarOut()) {
            drawHighFarOut(aRadius / 2.0, g2, xx + state.getBarWidth() / 2.0, maxAxisValue);
        }
        if (outlierListCollection.isLowFarOut()) {
            drawLowFarOut(aRadius / 2.0, g2, xx + state.getBarWidth() / 2.0, minAxisValue);
        }
    }
    // collect entity and tool tip information...
    if (state.getInfo() != null && box != null) {
        EntityCollection entities = state.getEntityCollection();
        if (entities != null) {
            addItemEntity(entities, dataset, row, column, box);
        }
    }
}

Example 2 with Outlier

use of org.jfree.chart.renderer.Outlier 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);
    }
}