List of usage examples for org.jfree.data.statistics BoxAndWhiskerCategoryDataset getMinRegularValue
public Number getMinRegularValue(Comparable rowKey, Comparable columnKey);
From source file:org.talend.dataprofiler.chart.util.TopChartFactory.java
/** * DOC Zqin Comment method "createBoxAndWhiskerChart". * /* www.j av a2s . c o m*/ * @param title * @param dataset * @return */ public static JFreeChart createBoxAndWhiskerChart(String title, BoxAndWhiskerCategoryDataset dataset) { // ADD msjian TDQ-5112 2012-4-10: after upgrate to jfreechart-1.0.12.jar, change the default chart wallPaint ChartFactory.setChartTheme(StandardChartTheme.createLegacyTheme()); // TDQ-5112~ JFreeChart chart = ChartFactory.createBoxAndWhiskerChart(null, title, Messages.getString("TopChartFactory.Value"), dataset, false); //$NON-NLS-1$ CategoryPlot plot = chart.getCategoryPlot(); NumberAxis rangeAxis = (NumberAxis) plot.getRangeAxis(); rangeAxis.setAutoRange(false); double min = dataset.getMinRegularValue("0", "").doubleValue(); //$NON-NLS-1$ //$NON-NLS-2$ double max = dataset.getMaxRegularValue("0", "").doubleValue(); //$NON-NLS-1$ //$NON-NLS-2$ double unit = (max - min) / 10; rangeAxis.setRange(min - unit, max + unit); rangeAxis.setTickUnit(new NumberTickUnit(unit)); BoxAndWhiskerRenderer renderer = (BoxAndWhiskerRenderer) plot.getRenderer(); renderer.setArtifactPaint(ChartDecorator.COLOR_LIST.get(1)); return chart; }
From source file:gov.nih.nci.caintegrator.application.geneexpression.BoxAndWhiskerCoinPlotRenderer.java
private void drawCoinOutliers(Graphics2D g2, CategoryItemRendererState state, Rectangle2D dataArea, ValueAxis rangeAxis, int row, int column, BoxAndWhiskerCategoryDataset bawDataset, double xx, RectangleEdge location, double oRadius, List<Outlier> outliers, List<Number> yOutliers) { double yyOutlier; 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)); }/* ww w . j ava 2 s . co m*/ } Collections.sort(outliers); for (Iterator<Outlier> iterator = outliers.iterator(); iterator.hasNext();) { Outlier outlier = iterator.next(); Point2D point = outlier.getPoint(); drawEllipse(point, oRadius, g2); } }
From source file:gov.nih.nci.caintegrator.application.geneexpression.BoxAndWhiskerCoinPlotRenderer.java
private RectangleEdge drawRectangles(Graphics2D g2, CategoryItemRendererState state, Rectangle2D dataArea, CategoryPlot plot, ValueAxis rangeAxis, int row, int column, BoxAndWhiskerCategoryDataset bawDataset, double xx) { 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;/* w ww.j a v a 2 s . c o m*/ 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); } return location; }
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 w w . j a v a2s.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:org.jfree.data.general.DatasetUtils.java
/** * Iterates over the data item of the category dataset to find * the range bounds./* w w w . j a v a 2 s . c o m*/ * * @param dataset the dataset ({@code null} not permitted). * @param includeInterval a flag that determines whether or not the * y-interval is taken into account. * @param visibleSeriesKeys the visible series keys. * * @return The range (possibly {@code null}). * * @since 1.0.13 */ public static Range iterateToFindRangeBounds(CategoryDataset dataset, List visibleSeriesKeys, boolean includeInterval) { Args.nullNotPermitted(dataset, "dataset"); Args.nullNotPermitted(visibleSeriesKeys, "visibleSeriesKeys"); double minimum = Double.POSITIVE_INFINITY; double maximum = Double.NEGATIVE_INFINITY; int columnCount = dataset.getColumnCount(); if (includeInterval && dataset instanceof BoxAndWhiskerCategoryDataset) { // handle special case of BoxAndWhiskerDataset BoxAndWhiskerCategoryDataset bx = (BoxAndWhiskerCategoryDataset) dataset; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); int itemCount = dataset.getColumnCount(); for (int item = 0; item < itemCount; item++) { Number lvalue = bx.getMinRegularValue(series, item); if (lvalue == null) { lvalue = bx.getValue(series, item); } Number uvalue = bx.getMaxRegularValue(series, item); if (uvalue == null) { uvalue = bx.getValue(series, item); } if (lvalue != null) { minimum = Math.min(minimum, lvalue.doubleValue()); } if (uvalue != null) { maximum = Math.max(maximum, uvalue.doubleValue()); } } } } else if (includeInterval && dataset instanceof IntervalCategoryDataset) { // handle the special case where the dataset has y-intervals that // we want to measure IntervalCategoryDataset icd = (IntervalCategoryDataset) dataset; Number lvalue, uvalue; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { lvalue = icd.getStartValue(series, column); uvalue = icd.getEndValue(series, column); if (lvalue != null && !Double.isNaN(lvalue.doubleValue())) { minimum = Math.min(minimum, lvalue.doubleValue()); } if (uvalue != null && !Double.isNaN(uvalue.doubleValue())) { maximum = Math.max(maximum, uvalue.doubleValue()); } } } } else if (includeInterval && dataset instanceof MultiValueCategoryDataset) { // handle the special case where the dataset has y-intervals that // we want to measure MultiValueCategoryDataset mvcd = (MultiValueCategoryDataset) dataset; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { List values = mvcd.getValues(series, column); Iterator valueIterator = values.iterator(); while (valueIterator.hasNext()) { Object o = valueIterator.next(); if (o instanceof Number) { double v = ((Number) o).doubleValue(); if (!Double.isNaN(v)) { minimum = Math.min(minimum, v); maximum = Math.max(maximum, v); } } } } } } else if (includeInterval && dataset instanceof StatisticalCategoryDataset) { // handle the special case where the dataset has y-intervals that // we want to measure StatisticalCategoryDataset scd = (StatisticalCategoryDataset) dataset; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { Number meanN = scd.getMeanValue(series, column); if (meanN != null) { double std = 0.0; Number stdN = scd.getStdDevValue(series, column); if (stdN != null) { std = stdN.doubleValue(); if (Double.isNaN(std)) { std = 0.0; } } double mean = meanN.doubleValue(); if (!Double.isNaN(mean)) { minimum = Math.min(minimum, mean - std); maximum = Math.max(maximum, mean + std); } } } } } else { // handle the standard case (plain CategoryDataset) Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { Number value = dataset.getValue(series, column); if (value != null) { double v = value.doubleValue(); if (!Double.isNaN(v)) { minimum = Math.min(minimum, v); maximum = Math.max(maximum, v); } } } } } if (minimum == Double.POSITIVE_INFINITY) { return null; } else { return new Range(minimum, maximum); } }
From source file:org.jfree.data.general.DatasetUtilities.java
/** * Iterates over the data item of the category dataset to find * the range bounds./*from ww w . java 2s . c o m*/ * * @param dataset the dataset (<code>null</code> not permitted). * @param includeInterval a flag that determines whether or not the * y-interval is taken into account. * @param visibleSeriesKeys the visible series keys. * * @return The range (possibly <code>null</code>). * * @since 1.0.13 */ public static Range iterateToFindRangeBounds(CategoryDataset dataset, List visibleSeriesKeys, boolean includeInterval) { ParamChecks.nullNotPermitted(dataset, "dataset"); ParamChecks.nullNotPermitted(visibleSeriesKeys, "visibleSeriesKeys"); double minimum = Double.POSITIVE_INFINITY; double maximum = Double.NEGATIVE_INFINITY; int columnCount = dataset.getColumnCount(); if (includeInterval && dataset instanceof BoxAndWhiskerCategoryDataset) { // handle special case of BoxAndWhiskerDataset BoxAndWhiskerCategoryDataset bx = (BoxAndWhiskerCategoryDataset) dataset; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); int itemCount = dataset.getColumnCount(); for (int item = 0; item < itemCount; item++) { Number lvalue = bx.getMinRegularValue(series, item); if (lvalue == null) { lvalue = bx.getValue(series, item); } Number uvalue = bx.getMaxRegularValue(series, item); if (uvalue == null) { uvalue = bx.getValue(series, item); } if (lvalue != null) { minimum = Math.min(minimum, lvalue.doubleValue()); } if (uvalue != null) { maximum = Math.max(maximum, uvalue.doubleValue()); } } } } else if (includeInterval && dataset instanceof IntervalCategoryDataset) { // handle the special case where the dataset has y-intervals that // we want to measure IntervalCategoryDataset icd = (IntervalCategoryDataset) dataset; Number lvalue, uvalue; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { lvalue = icd.getStartValue(series, column); uvalue = icd.getEndValue(series, column); if (lvalue != null && !Double.isNaN(lvalue.doubleValue())) { minimum = Math.min(minimum, lvalue.doubleValue()); } if (uvalue != null && !Double.isNaN(uvalue.doubleValue())) { maximum = Math.max(maximum, uvalue.doubleValue()); } } } } else if (includeInterval && dataset instanceof MultiValueCategoryDataset) { // handle the special case where the dataset has y-intervals that // we want to measure MultiValueCategoryDataset mvcd = (MultiValueCategoryDataset) dataset; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { List values = mvcd.getValues(series, column); Iterator valueIterator = values.iterator(); while (valueIterator.hasNext()) { Object o = valueIterator.next(); if (o instanceof Number) { double v = ((Number) o).doubleValue(); if (!Double.isNaN(v)) { minimum = Math.min(minimum, v); maximum = Math.max(maximum, v); } } } } } } else if (includeInterval && dataset instanceof StatisticalCategoryDataset) { // handle the special case where the dataset has y-intervals that // we want to measure StatisticalCategoryDataset scd = (StatisticalCategoryDataset) dataset; Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { Number meanN = scd.getMeanValue(series, column); if (meanN != null) { double std = 0.0; Number stdN = scd.getStdDevValue(series, column); if (stdN != null) { std = stdN.doubleValue(); if (Double.isNaN(std)) { std = 0.0; } } double mean = meanN.doubleValue(); if (!Double.isNaN(mean)) { minimum = Math.min(minimum, mean - std); maximum = Math.max(maximum, mean + std); } } } } } else { // handle the standard case (plain CategoryDataset) Iterator iterator = visibleSeriesKeys.iterator(); while (iterator.hasNext()) { Comparable seriesKey = (Comparable) iterator.next(); int series = dataset.getRowIndex(seriesKey); for (int column = 0; column < columnCount; column++) { Number value = dataset.getValue(series, column); if (value != null) { double v = value.doubleValue(); if (!Double.isNaN(v)) { minimum = Math.min(minimum, v); maximum = Math.max(maximum, v); } } } } } if (minimum == Double.POSITIVE_INFINITY) { return null; } else { return new Range(minimum, maximum); } }
From source file:be.ugent.maf.cellmissy.gui.view.renderer.jfreechart.ExtendedBoxAndWhiskerRenderer.java
/** * Draws the visual representation of a single data item when the plot has a * vertical orientation.// w w w . j av a 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). */ @Override public void drawVerticalItem(Graphics2D g2, CategoryItemRendererState state, Rectangle2D dataArea, CategoryPlot plot, CategoryAxis domainAxis, ValueAxis rangeAxis, CategoryDataset dataset, int row, int column) { // do nothing if item is not visible if (!getItemVisible(row, column)) { return; } //Determine the catgory start and end. 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; domainAxis.setCategoryMargin(0.25); rangeAxis.setUpperMargin(0.3); rangeAxis.setLowerMargin(0.3); 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 xxmid = xx + state.getBarWidth() / 2.0; //Draw the box. Paint p = getItemPaint(row, column); if (p != null) { g2.setPaint(p); } Stroke s = getItemStroke(row, column); g2.setStroke(s); RectangleEdge location = plot.getRangeAxisEdge(); Shape box = null; Number yQ1 = bawDataset.getQ1Value(row, column); Number yQ3 = bawDataset.getQ3Value(row, column); Number yMax = bawDataset.getMaxRegularValue(row, column); Number yMin = bawDataset.getMinRegularValue(row, column); 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); // set the paint according to the right technical replicate int length = GuiUtils.getAvailableColors().length; int colorIndex = row % length; Color color = GuiUtils.getAvailableColors()[colorIndex]; g2.setPaint(color); // draw the upper whisker g2.draw(new Line2D.Double(xxmid, yyMax, xxmid, yyQ3)); g2.draw(new Line2D.Double(xx, yyMax, xx + state.getBarWidth(), yyMax)); // draw the lower whisker 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)); g2.setPaint(new Color(color.getRed(), color.getGreen(), color.getBlue(), 175)); // if (getFillBox()) { // g2.fill(box); // } g2.draw(box); } // draw mean g2.setPaint(getArtifactPaint()); double yyAverage = 0.0; double aRadius = 2.0; // mean radius Number yMean = bawDataset.getMeanValue(row, column); if (yMean != null) { yyAverage = rangeAxis.valueToJava2D(yMean.doubleValue(), dataArea, location); Ellipse2D.Double avgEllipse = new Ellipse2D.Double((xxmid - aRadius), (yyAverage - aRadius), aRadius * 2, aRadius * 2); g2.draw(avgEllipse); } //draw median double yyMedian = 0.0; Number yMedian = bawDataset.getMedianValue(row, column); if (yMedian != null) { yyMedian = rangeAxis.valueToJava2D(yMedian.doubleValue(), dataArea, location); g2.draw(new Line2D.Double(xx, yyMedian, xx + state.getBarWidth(), yyMedian)); } //Outliers and Farouts double oRadius = 2.0; //outlier radius double foRadius = 1.0; //farout radius // From outlier array sort out which are outliers and put these into a // list. If there are any farouts, add them to the farout list. // draw the outliers and farouts only if they are within the data area. double yyOutlier; double yyFarout; List outliers = new ArrayList(); List farOutValues = new ArrayList(); List yOutliers = bawDataset.getOutliers(row, column); if (yOutliers != null) { for (int i = 0; i < yOutliers.size(); i++) { Number outlierNum = (Number) yOutliers.get(i); double outlier = outlierNum.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() || outlier < minOutlier.doubleValue()) { yyFarout = rangeAxis.valueToJava2D(outlier, dataArea, location); Outlier faroutToAdd = new Outlier(xxmid, yyFarout, foRadius); if (dataArea.contains(faroutToAdd.getPoint())) { farOutValues.add(faroutToAdd); } } else if (outlier > maxRegular.doubleValue() || outlier < minRegular.doubleValue()) { yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location); Outlier outlierToAdd = new Outlier(xxmid, yyOutlier, oRadius); if (dataArea.contains(outlierToAdd.getPoint())) { outliers.add(outlierToAdd); } } } //draw the outliers g2.setPaint(this.outlierPaint); for (Iterator iterator = outliers.iterator(); iterator.hasNext();) { Outlier outlier = (Outlier) iterator.next(); Point2D point = outlier.getPoint(); Shape dot = createEllipse(point, oRadius); g2.draw(dot); } //draw the farout values g2.setPaint(this.farOutColor); for (Iterator iterator = farOutValues.iterator(); iterator.hasNext();) { Outlier outlier = (Outlier) iterator.next(); Point2D point = outlier.getPoint(); Shape triangle = createTriangleVertical(point, foRadius); g2.draw(triangle); } } }
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 horizontal orientation.//from ww w .j a v a 2 s .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 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(); 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; yy = yy + 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; yy = yy + offset; } Paint p = getItemPaint(row, column); if (p != null) { g2.setPaint(p); } 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; // draw the upper shadow... g2.draw(new Line2D.Double(xxMax, yymid, xxQ3, yymid)); g2.draw(new Line2D.Double(xxMax, yy, xxMax, yy + state.getBarWidth())); // draw the lower shadow... g2.draw(new Line2D.Double(xxMin, yymid, xxQ1, yymid)); g2.draw(new Line2D.Double(xxMin, yy, xxMin, yy + state.getBarWidth())); // draw the box... box = new Rectangle2D.Double(Math.min(xxQ1, xxQ3), yy, Math.abs(xxQ1 - xxQ3), state.getBarWidth()); if (this.fillBox) { g2.fill(box); } 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; 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())); } // 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); } } }
From source file:extern.PlotBySplitClassRenderer.java
/** * Draws the visual representation of a single data item when the plot has * a vertical orientation./*from ww w.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 (must be an instance of * {@link BoxAndWhiskerCategoryDataset}). * @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) { if (lastSplitObj != column) { lastSplitObj = column; prevX = -1; prevY = -1; } 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(); double widthToUse = Math.min(state.getBarWidth(), dataArea.getWidth() / 15); if (seriesCount > 1) { double seriesGap = dataArea.getWidth() * getItemMargin() / (categoryCount * (seriesCount - 1)); double usedWidth = (widthToUse * 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 * (widthToUse + seriesGap)); } else { // offset the start of the box if the box width is smaller than the // category width double offset = (categoryWidth - widthToUse) / 2; xx = xx + offset; } double yyAverage = 0.0; double yyOutlier; Paint itemPaint = getItemPaint(row, column); g2.setPaint(itemPaint); 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; double xxmid = xx + widthToUse / 2.0; double yyQ1 = 0; double yyQ3 = 0; if (yQ1 != null && yQ3 != null && yMax != null && yMin != null) { yyQ1 = rangeAxis.valueToJava2D(yQ1.doubleValue(), dataArea, location); yyQ3 = rangeAxis.valueToJava2D(yQ3.doubleValue(), dataArea, location); double yyMax = rangeAxis.valueToJava2D(yMax.doubleValue(), dataArea, location); double yyMin = rangeAxis.valueToJava2D(yMin.doubleValue(), dataArea, location); // draw the upper shadow... g2.draw(new Line2D.Double(xxmid, yyMax, xxmid, yyQ3)); g2.draw(new Line2D.Double(xx, yyMax, xx + widthToUse, yyMax)); // draw the lower shadow... g2.draw(new Line2D.Double(xxmid, yyMin, xxmid, yyQ1)); g2.draw(new Line2D.Double(xx, yyMin, xx + widthToUse, yyMin)); // draw the body... box = new Rectangle2D.Double(xx, Math.min(yyQ1, yyQ3), widthToUse, Math.abs(yyQ1 - yyQ3)); if (this.fillBox) { g2.fill(box); } g2.setStroke(getItemOutlineStroke(row, column)); g2.setPaint(getItemOutlinePaint(row, column)); g2.draw(box); } g2.setPaint(this.artifactPaint); // draw mean - SPECIAL AIMS REQUIREMENT... Number yMean = bawDataset.getMeanValue(row, column); if (yMean != null && !Double.isNaN(yMean.doubleValue())) { yyAverage = rangeAxis.valueToJava2D(yMean.doubleValue(), dataArea, location); // THIS IS WHAT WE CHANGED // aRadius = widthWeWannaUse / 4; aRadius = 4; // here we check that the average marker will in fact be visible // before drawing it... // WE HAD TO CHANGE THIS TOO I DON'T KNOW WHAT THEY WERE DOING if ((yyAverage > (dataArea.getMinY() - aRadius)) && (yyAverage < (dataArea.getMaxY() + aRadius))) { Ellipse2D.Double avgEllipse = new Ellipse2D.Double(xxmid - aRadius, yyAverage - aRadius, aRadius * 2, aRadius * 2); //If this is a single point only, then draw this point with //the color of its class. if (yQ1 != null && yQ3 != null) { if (aRadius / 2 > Math.abs(yyQ3 - yyQ1)) { g2.setPaint(itemPaint); } } g2.fill(avgEllipse); g2.draw(avgEllipse); } } // draw median... Number yMedian = bawDataset.getMedianValue(row, column); if (yMedian != null && !Double.isNaN(yMedian.doubleValue())) { double yyMedian = rangeAxis.valueToJava2D(yMedian.doubleValue(), dataArea, location); g2.draw(new Line2D.Double(xx, yyMedian, xx + widthToUse, yyMedian)); // add a line to connect the means of the boxes if (prevX != -1 && prevY != -1) { g2.setPaint(artifactPaint); g2.draw(new Line2D.Double(prevX, prevY, xxmid, yyMedian)); } prevX = xxmid; prevY = yyMedian; } // draw yOutliers... g2.setPaint(itemPaint); // draw outliers double oRadius = 4; // outlier radius List<Outlier> outliers = new ArrayList<Outlier>(); // 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 (int i = 0; i < yOutliers.size(); i++) { double outlier = yOutliers.get(i).doubleValue(); yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location); outliers.add(new Outlier(xxmid, yyOutlier, oRadius)); } // Process outliers. Each outlier is either added to the // appropriate outlier list or a new outlier list is made for (Outlier outlier : outliers) { Point2D point = outlier.getPoint(); drawEllipse(point, oRadius, g2); } } }
From source file:extern.NpairsBoxAndWhiskerRenderer.java
/** * Draws the visual representation of a single data item when the plot has * a vertical orientation./*w w w. j a v a2 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 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(); double widthToUse = Math.min(state.getBarWidth(), dataArea.getWidth() / 15); if (seriesCount > 1) { double seriesGap = dataArea.getWidth() * getItemMargin() / (categoryCount * (seriesCount - 1)); double usedWidth = (widthToUse * 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 * (widthToUse + seriesGap)); } else { // offset the start of the box if the box width is smaller than the // category width double offset = (categoryWidth - widthToUse) / 2; xx = xx + offset; } double yyAverage = 0.0; double yyOutlier; Paint itemPaint = getItemPaint(row, column); g2.setPaint(itemPaint); 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; double xxmid = xx + widthToUse / 2.0; 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); // draw the upper shadow... g2.draw(new Line2D.Double(xxmid, yyMax, xxmid, yyQ3)); g2.draw(new Line2D.Double(xx, yyMax, xx + widthToUse, yyMax)); // draw the lower shadow... g2.draw(new Line2D.Double(xxmid, yyMin, xxmid, yyQ1)); g2.draw(new Line2D.Double(xx, yyMin, xx + widthToUse, yyMin)); // draw the body... box = new Rectangle2D.Double(xx, Math.min(yyQ1, yyQ3), widthToUse, Math.abs(yyQ1 - yyQ3)); if (this.fillBox) { g2.fill(box); } g2.setStroke(getItemOutlineStroke(row, column)); g2.setPaint(getItemOutlinePaint(row, column)); g2.draw(box); } g2.setPaint(this.artifactPaint); // draw mean - SPECIAL AIMS REQUIREMENT... Number yMean = bawDataset.getMeanValue(row, column); if (yMean != null && !Double.isNaN(yMean.doubleValue())) { yyAverage = rangeAxis.valueToJava2D(yMean.doubleValue(), dataArea, location); // THIS IS WHAT WE CHANGED // aRadius = widthWeWannaUse / 4; aRadius = 4; // here we check that the average marker will in fact be visible // before drawing it... // WE HAD TO CHANGE THIS TOO I DON'T KNOW WHAT THEY WERE DOING if ((yyAverage > (dataArea.getMinY() - aRadius)) && (yyAverage < (dataArea.getMaxY() + aRadius))) { Ellipse2D.Double avgEllipse = new Ellipse2D.Double(xxmid - aRadius, yyAverage - aRadius, aRadius * 2, aRadius * 2); g2.fill(avgEllipse); g2.draw(avgEllipse); } } // draw median... Number yMedian = bawDataset.getMedianValue(row, column); if (yMedian != null && !Double.isNaN(yMedian.doubleValue())) { double yyMedian = rangeAxis.valueToJava2D(yMedian.doubleValue(), dataArea, location); g2.draw(new Line2D.Double(xx, yyMedian, xx + widthToUse, yyMedian)); // add a line to connect the means of the boxes if (prevX != -1.0 && prevY != -1.0) { g2.draw(new Line2D.Double(prevX, prevY, xxmid, yyMedian)); } prevX = xxmid; prevY = yyMedian; } // draw yOutliers... g2.setPaint(itemPaint); // draw outliers double oRadius = 4; // outlier radius List<Outlier> outliers = new ArrayList<Outlier>(); // 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 (int i = 0; i < yOutliers.size(); i++) { double outlier = yOutliers.get(i).doubleValue(); yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, location); outliers.add(new Outlier(xxmid, yyOutlier, oRadius)); } // Process outliers. Each outlier is either added to the // appropriate outlier list or a new outlier list is made for (Outlier outlier : outliers) { Point2D point = outlier.getPoint(); drawEllipse(point, oRadius, g2); } // 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, widthWeWannaUse, oRadius, // g2); // } // else { // drawEllipse(point, oRadius, g2); // } // } // // // draw farout indicators // if (outlierListCollection.isHighFarOut()) { // drawHighFarOut(aRadius / 2.0, g2, // xx + widthWeWannaUse / 2.0, maxAxisValue); // } // // if (outlierListCollection.isLowFarOut()) { // drawLowFarOut(aRadius / 2.0, g2, // xx + widthWeWannaUse / 2.0, minAxisValue); // } // } // // 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); // } } }