List of usage examples for org.jfree.chart.renderer OutlierListCollection isHighFarOut
public boolean isHighFarOut()
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.j ava 2 s. com 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./* ww w.j a v a2s . 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); } } }