List of usage examples for org.jfree.chart.renderer OutlierListCollection add
public boolean add(Outlier outlier)
OutlierList
to the end of this list if it does not overlap an outlier in an existing list. From source file:gov.nih.nci.caintegrator.application.geneexpression.BoxAndWhiskerCoinPlotRenderer.java
private void drawOutliers(Graphics2D g2, CategoryItemRendererState state, Rectangle2D dataArea, ValueAxis rangeAxis, int row, int column, BoxAndWhiskerCategoryDataset bawDataset, double xx, double aRadius, RectangleEdge location, double maxAxisValue, double minAxisValue) { double yyOutlier; double oRadius = state.getBarWidth() / this.outlierRadiusDenominator; // outlier radius List<Outlier> outliers = new ArrayList<Outlier>(); OutlierListCollection outlierListCollection = new OutlierListCollection(); List<Number> yOutliers = (List<Number>) bawDataset.getOutliers(row, column); if (yOutliers != null) { for (int i = 0; i < yOutliers.size(); i++) { double outlier = 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)); }// w ww .java 2 s .c om Collections.sort(outliers); } if (!displayAllOutliers) { for (int i = 0; i < yOutliers.size(); i++) { Number minRegular = bawDataset.getMinRegularValue(row, column); Number maxRegular = bawDataset.getMaxRegularValue(row, column); double outlier = ((Number) yOutliers.get(i)).doubleValue(); if (outlier < minRegular.doubleValue() || outlier > maxRegular.doubleValue()) { yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location); outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius)); } } for (Iterator<Outlier> iterator = outliers.iterator(); iterator.hasNext();) { Outlier outlier = iterator.next(); outlierListCollection.add(outlier); } for (Iterator<OutlierList> iterator = outlierListCollection.iterator(); iterator.hasNext();) { OutlierList list = iterator.next(); Outlier outlier = list.getAveragedOutlier(); Point2D point = outlier.getPoint(); if (list.isMultiple()) { drawMultipleEllipse(point, state.getBarWidth(), oRadius, g2); } else { drawEllipse(point, oRadius, g2); } } 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); } } else { drawCoinOutliers(g2, state, dataArea, rangeAxis, row, column, bawDataset, xx, location, oRadius, outliers, yOutliers); } } }
From source file:gov.nih.nci.caintegrator.ui.graphing.chart.plot.BoxAndWhiskerCoinPlotRenderer.java
/** * Draws the visual representation of a single data item when the plot has * a vertical orientation.// w ww . java 2s. co m * * @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. * @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 = 0.0; double yyOutlier; // bar colors are determined by the Paint p obtained here in a rotational //manner (from a Color array). By switching the column and raw values, //you can get a different color pattern for the bar: In the method //getItemPaint(), only the first argument counts for the color. The original //code Paint p = getItemPaint(row, column); is commented out for a difference. Paint p = null; if (this.getPlotColor() != null) { p = PaintUtilities.stringToColor(getPlotColor()); // coin plot should all be one color } else { p = getItemPaint(row, column); } // Paint p = PaintUtilities.stringToColor("red"); if (p != null) { g2.setPaint(p); } Stroke s = getItemStroke(row, column); g2.setStroke(s); double aRadius = 0; // average radius 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; // draw the upper shadow... g2.draw(new Line2D.Double(xxmid, yyMax, xxmid, yyQ3)); g2.draw(new Line2D.Double(xx, yyMax, xx + state.getBarWidth(), yyMax)); // draw the lower shadow... g2.draw(new Line2D.Double(xxmid, yyMin, xxmid, yyQ1)); g2.draw(new Line2D.Double(xx, yyMin, xx + state.getBarWidth(), yyMin)); // draw the body... box = new Rectangle2D.Double(xx, Math.min(yyQ1, yyQ3), state.getBarWidth(), Math.abs(yyQ1 - yyQ3)); if (getFillBox()) { g2.fill(box); } g2.draw(box); } g2.setPaint(getArtifactPaint()); if (this.isDisplayMean()) { // draw mean - SPECIAL AIMS REQUIREMENT... Number yMean = bawDataset.getMeanValue(row, column); if (yMean != null) { yyAverage = rangeAxis.valueToJava2D(yMean.doubleValue(), dataArea, location); aRadius = state.getBarWidth() / 4; Ellipse2D.Double avgEllipse = new Ellipse2D.Double(xx + aRadius, yyAverage - aRadius, aRadius * 2, aRadius * 2); g2.fill(avgEllipse); g2.draw(avgEllipse); } } if (this.isDisplayMedian()) { // draw median... 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(p); if (this.isDisplayCoinCloud()) { //draw coin clouds drawCoinCloud(g2, state, dataArea, location, rangeAxis, xx, row, column, bawDataset); } //caIntegrator: oRadius is the radius of the outlier circles. It was used to be 3. // draw outliers double oRadius = state.getBarWidth() / this.outlierRadiusDenominator; // outlier radius List outliers = new ArrayList(); OutlierListCollection outlierListCollection = new 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); } //display farouts as JFreeChart Implemetation if (!displayAllOutliers) { // Process outliers. Each outlier is either added to the // appropriate outlier list or a new outlier list is made for (int i = 0; i < yOutliers.size(); i++) { Number minRegular = bawDataset.getMinRegularValue(row, column); Number maxRegular = bawDataset.getMaxRegularValue(row, column); double outlier = ((Number) yOutliers.get(i)).doubleValue(); if (outlier < minRegular.doubleValue() || outlier > maxRegular.doubleValue()) { yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location); outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius)); } } 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); } } else { for (int i = 0; i < yOutliers.size(); i++) { Number minRegular = bawDataset.getMinRegularValue(row, column); Number maxRegular = bawDataset.getMaxRegularValue(row, column); double outlier = ((Number) yOutliers.get(i)).doubleValue(); if (outlier < minRegular.doubleValue() || outlier > maxRegular.doubleValue()) { yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location); outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius)); } } Collections.sort(outliers); for (Iterator iterator = outliers.iterator(); iterator.hasNext();) { Outlier outlier = (Outlier) iterator.next(); Point2D point = outlier.getPoint(); drawEllipse(point, oRadius, g2); } } } // collect entity and tool tip information... if (state.getInfo() != null) { EntityCollection entities = state.getEntityCollection(); if (entities != null) { String tip = null; CategoryToolTipGenerator tipster = getToolTipGenerator(row, column); if (tipster != null) { tip = tipster.generateToolTip(dataset, row, column); } String url = null; if (getItemURLGenerator(row, column) != null) { url = getItemURLGenerator(row, column).generateURL(dataset, row, column); } CategoryItemEntity entity = new CategoryItemEntity(box, tip, url, dataset, row, dataset.getColumnKey(column), column); entities.add(entity); } } }