Examples of org.jfree.chart.renderer.OutlierListCollection

org.jfree.chart.renderer.OutlierListCollection
A collection of outlier lists for a box and whisker plot. Each collection is associated with a single box and whisker entity. Outliers are grouped in lists for each entity. Lists contain one or more outliers, determined by whether overlaps have occurred. Overlapping outliers are grouped in the same list. @see org.jfree.chart.renderer.OutlierList

        g2.setPaint(p);


        // draw outliers
        double oRadius = state.getBarWidth() / 3;    // outlier radius
        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();
                if (outlier > bawDataset.getMaxOutlier(row, column).doubleValue()) {
                    outlierListCollection.setHighFarOut(true);
                } 
                else if (outlier < bawDataset.getMinOutlier(row, column).doubleValue()) {
                    outlierListCollection.setLowFarOut(true);
                }
                else if (outlier > bawDataset.getMaxRegularValue(row, column).doubleValue()) {
                    yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
                    outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius));
                }
                else if (outlier < bawDataset.getMinRegularValue(row, column).doubleValue()) {
                    yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location);
                    outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius));
                }
                Collections.sort(outliers);
            }


            // Process outliers. Each outlier is either added to the 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) {

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        g2.setPaint(p);


        // draw outliers
        double oRadius = state.getBarWidth() / 3;    // outlier radius
        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);
            }


            // Process outliers. Each outlier is either added to the 
            // 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...

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                g2.draw(avgEllipse);
            }
        }


        List<Outlier> outliers = new ArrayList<Outlier>();
        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 (Number yOutlier : yOutliers) {
            double outlier = yOutlier.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);
        }


        // Process outliers. Each outlier is either added to the appropriate
        // outlier list or a new outlier list is made
        for (Outlier outlier : outliers) {
            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 (OutlierList list : outlierListCollection) {
            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)) {

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        g2.setPaint(itemPaint);


        // draw outliers
        double oRadius = state.getBarWidth() / 3;    // outlier radius
        List<Outlier> outliers = new ArrayList<Outlier>();
        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<Number> yOutliers = bawDataset.getOutliers(row, column);
        if (yOutliers != null) {
            for (Number yOutlier : yOutliers) {
                double outlier = ((Number) yOutlier).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);
            }


            // Process outliers. Each outlier is either added to the
            // appropriate outlier list or a new outlier list is made
            for (Outlier outlier : outliers) {
                outlierListCollection.add(outlier);
            }


            for (OutlierList list : outlierListCollection) {
                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...

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            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);
        }


        // Process outliers. Each outlier is either added to the 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);
        }


        // 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) {

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        g2.setPaint(p);


        // draw outliers
        double oRadius = state.getBarWidth() / 3;    // outlier radius
        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);
            }


            // Process outliers. Each outlier is either added to the 
            // 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
                );
            }

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Related Classes of org.jfree.chart.renderer.OutlierListCollection

org.jfree.chart.renderer.category.BoxAndWhiskerRenderer

org.jfree.chart.renderer.xy.XYBoxAndWhiskerRenderer

java.util.ArrayList

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