Package org.jfree.chart.renderer

Examples of org.jfree.chart.renderer.OutlierListCollection


        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) {
View Full Code Here


        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...
View Full Code Here

                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)) {
View Full Code Here

        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...
View Full Code Here

            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) {
View Full Code Here

        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
                );
            }
View Full Code Here

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

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