List of usage examples for org.jfree.data.statistics BoxAndWhiskerCategoryDataset getMinRegularValue
public Number getMinRegularValue(Comparable rowKey, Comparable columnKey);
From source file:extern.NpairsBoxAndWhiskerRenderer.java
/** * Draws the visual representation of a single data item when the plot has * a horizontal orientation.// w w w. ja v a 2 s . c o 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 (must be an instance of * {@link BoxAndWhiskerCategoryDataset}). * @param row the row index (zero-based). * @param column the column index (zero-based). */ public void drawHorizontalItem(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 = Math.abs(categoryEnd - categoryStart); double yy = categoryStart; int seriesCount = getRowCount(); int categoryCount = getColumnCount(); double widthWeWannaUse = Math.min(state.getBarWidth(), dataArea.getWidth() / 10); if (seriesCount > 1) { double seriesGap = dataArea.getHeight() * getItemMargin() / (categoryCount * (seriesCount - 1)); // double usedWidth = (state.getBarWidth() * seriesCount) // + (seriesGap * (seriesCount - 1)); double usedWidth = (widthWeWannaUse * 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; // yy = yy + offset + (row * (state.getBarWidth() + seriesGap)); yy = yy + offset + (row * (widthWeWannaUse + seriesGap)); } else { // offset the start of the box if the box width is smaller than // the category width // double offset = (categoryWidth - state.getBarWidth()) / 2; double offset = (categoryWidth - widthWeWannaUse) / 2; yy = yy + offset; } g2.setPaint(getItemPaint(row, column)); Stroke s = getItemStroke(row, column); g2.setStroke(s); RectangleEdge location = plot.getRangeAxisEdge(); Number xQ1 = bawDataset.getQ1Value(row, column); Number xQ3 = bawDataset.getQ3Value(row, column); Number xMax = bawDataset.getMaxRegularValue(row, column); Number xMin = bawDataset.getMinRegularValue(row, column); Shape box = null; if (xQ1 != null && xQ3 != null && xMax != null && xMin != null) { double xxQ1 = rangeAxis.valueToJava2D(xQ1.doubleValue(), dataArea, location); double xxQ3 = rangeAxis.valueToJava2D(xQ3.doubleValue(), dataArea, location); double xxMax = rangeAxis.valueToJava2D(xMax.doubleValue(), dataArea, location); double xxMin = rangeAxis.valueToJava2D(xMin.doubleValue(), dataArea, location); // double yymid = yy + state.getBarWidth() / 2.0; double yymid = yy + widthWeWannaUse / 2.0; // draw the upper shadow... g2.draw(new Line2D.Double(xxMax, yymid, xxQ3, yymid)); // g2.draw(new Line2D.Double(xxMax, yy, xxMax, // yy + state.getBarWidth())); g2.draw(new Line2D.Double(xxMax, yy, xxMax, yy + widthWeWannaUse)); // draw the lower shadow... g2.draw(new Line2D.Double(xxMin, yymid, xxQ1, yymid)); // g2.draw(new Line2D.Double(xxMin, yy, xxMin, // yy + state.getBarWidth())); g2.draw(new Line2D.Double(xxMin, yy, xxMin, yy + widthWeWannaUse)); // draw the box... // box = new Rectangle2D.Double(Math.min(xxQ1, xxQ3), yy, // Math.abs(xxQ1 - xxQ3), state.getBarWidth()); box = new Rectangle2D.Double(Math.min(xxQ1, xxQ3), yy, Math.abs(xxQ1 - xxQ3), widthWeWannaUse); if (this.fillBox) { g2.fill(box); } g2.setStroke(getItemOutlineStroke(row, column)); g2.setPaint(getItemOutlinePaint(row, column)); g2.draw(box); } g2.setPaint(this.artifactPaint); double aRadius = 0; // average radius // draw mean - SPECIAL AIMS REQUIREMENT... Number xMean = bawDataset.getMeanValue(row, column); if (xMean != null) { double xxMean = rangeAxis.valueToJava2D(xMean.doubleValue(), dataArea, location); // aRadius = state.getBarWidth() / 4; aRadius = widthWeWannaUse / 4; // here we check that the average marker will in fact be visible // before drawing it... if ((xxMean > (dataArea.getMinX() - aRadius)) && (xxMean < (dataArea.getMaxX() + aRadius))) { Ellipse2D.Double avgEllipse = new Ellipse2D.Double(xxMean - aRadius, yy + aRadius, aRadius * 2, aRadius * 2); g2.fill(avgEllipse); g2.draw(avgEllipse); } } // draw median... Number xMedian = bawDataset.getMedianValue(row, column); if (xMedian != null) { double xxMedian = rangeAxis.valueToJava2D(xMedian.doubleValue(), dataArea, location); // g2.draw(new Line2D.Double(xxMedian, yy, xxMedian, // yy + state.getBarWidth())); g2.draw(new Line2D.Double(xxMedian, yy, xxMedian, yy + widthWeWannaUse)); } // 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); } } }
From source file:gov.nih.nci.caintegrator.application.graphing.BoxAndWhiskerDotsRenderer.java
/** * Draws the visual representation of a single data item when the plot has * a vertical orientation./*from w ww . j a v a 2 s . c om*/ * * @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 = getItemPaint(row, column); Paint p = getItemPaint(column, row); // <-- this is wrong, dont know who put this here // Paint p = PaintUtilities.stringToColor("red"); // coin plot should all be one color 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 (this.fillBox) { g2.fill(box); } //The following draw the boxes where mean and media are located. g2.draw(box); } g2.setPaint(this.artifactPaint); // 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)); } //caIntegrator: The outLiner is no longer needed to be here. // draw the rawData around the box... /////////////////////////////////caIntegrator: Begin of drawing dots around the box double maxAxisValue = rangeAxis.valueToJava2D(rangeAxis.getUpperBound(), dataArea, location) + aRadius; double minAxisValue = rangeAxis.valueToJava2D(rangeAxis.getLowerBound(), dataArea, location) - aRadius; g2.setPaint(p); //caIntegrator: oRadius is the radius of the outlier circles. It was used to be 3. double oRadius = state.getBarWidth() / 10; // outlier radius List outliers = new ArrayList(); //Get the raw item data for a given row/column pair for plotting. //getRawItemData() method is added to bawDataset object for //this purpose. //List yOutliers = bawDataset.getRawItemData(row, column); List yOutliers = this.caintegOutliers.get(String.valueOf(row) + "_" + String.valueOf(column)); if (yOutliers != null) { for (int i = 0; i < yOutliers.size(); i++) { double outlier = ((Number) yOutliers.get(i)).doubleValue(); yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location); outliers.add(new Outlier(xx + state.getBarWidth() / 2.0, yyOutlier, oRadius)); Collections.sort(outliers); } //Sort the raw data according to its Y axis first as groups. //Grouping of these raw data is based on a single standard: //if any number of data, when plotted on a vertical line, overlap //with one another, they belong to the same group. In this case, //the grouping is largely determined by the diameter of the dot, that //represents each raw data. boolean firstOutlier = true; double topY = 0; double bottomY = 0; List groupList = new ArrayList(); List tempList = null; double diameter = 2 * oRadius; double difference = 0; for (Iterator iterator = outliers.iterator(); iterator.hasNext();) { Outlier outlier = (Outlier) iterator.next(); //Set the smallest outlier as the base bottom line if (firstOutlier) { firstOutlier = false; bottomY = outlier.getY(); tempList = new ArrayList(); tempList.add(outlier); continue; } topY = outlier.getY(); //If this one and the one before it is overlapping, //Then put them in the same group, so we can spread them //horizontally difference = topY - bottomY; if (difference < diameter) { tempList.add(outlier); } //They do not overlap, they belong to the different groups. else { bottomY = topY; groupList.add(tempList); tempList = new ArrayList(); tempList.add(outlier); } } //caIntegrator - x axis cloud //Process each outlier's x coordinates boolean isOdd = true; double offSet = 0; int listSize = 0; for (int m = 0; m < groupList.size(); m++) { List list = (List) groupList.get(m); if (list != null && list.size() > 1) { listSize = list.size(); isOdd = (listSize % 2 == 1) ? true : false; if (isOdd) { offSet = diameter * (listSize / 2); } else { offSet = diameter * (listSize / 2) - oRadius; } Random r = new Random(); offSet = (Math.abs(r.nextInt()) % 3) * 3; offSet = 0; for (int n = 0; n < list.size(); n++) { Outlier outlier = (Outlier) list.get(n); outlier.setPoint(new Point2D.Double(outlier.getX() - offSet, outlier.getY())); offSet = offSet - diameter; r = new Random(); int randInt = Math.abs(r.nextInt()) % 3; offSet = randInt * 2; } } } //Draw these dots on the graph. for (Iterator iterator = groupList.iterator(); iterator.hasNext();) { List list = (List) iterator.next(); for (int i = 0; i < list.size(); i++) { Outlier outlier = (Outlier) list.get(i); Point2D point = outlier.getPoint(); drawEllipse(point, oRadius, g2); } } } }
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./*from w w w . j a v a 2 s . c o 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); } } }