List of usage examples for org.jfree.data.statistics StatisticalCategoryDataset getMeanValue
public Number getMeanValue(Comparable rowKey, Comparable columnKey);
From source file:nl.strohalm.cyclos.utils.jfreeAsymmetric.AsymmetricStatisticalBarRenderer.java
/** * Draws an item for a plot with a vertical orientation. * //ww w. ja v a2s . c om * @param g2 the graphics device. * @param state the renderer state. * @param dataArea the data area. * @param plot the plot. * @param domainAxis the domain axis. * @param rangeAxis the range axis. * @param dataset the data. * @param row the row index (zero-based). * @param column the column index (zero-based). */ protected void drawVerticalItem(final Graphics2D g2, final CategoryItemRendererState state, final Rectangle2D dataArea, final CategoryPlot plot, final CategoryAxis domainAxis, final ValueAxis rangeAxis, final StatisticalCategoryDataset dataset, final int row, final int column) { // nothing is drawn for null... //ADDED THIS BLOCK, RINKE final Number v = dataset.getValue(row, column); if (v == null) { return; } final RectangleEdge xAxisLocation = plot.getDomainAxisEdge(); // BAR X double rectX = domainAxis.getCategoryStart(column, getColumnCount(), dataArea, xAxisLocation); final int seriesCount = getRowCount(); final int categoryCount = getColumnCount(); if (seriesCount > 1) { final double seriesGap = dataArea.getWidth() * getItemMargin() / (categoryCount * (seriesCount - 1)); rectX = rectX + row * (state.getBarWidth() + seriesGap); } else { rectX = rectX + row * state.getBarWidth(); } // BAR Y final Number meanValue = dataset.getMeanValue(row, column); double value = meanValue.doubleValue(); double base = 0.0; final double lclip = getLowerClip(); final double uclip = getUpperClip(); if (uclip <= 0.0) { // cases 1, 2, 3 and 4 if (value >= uclip) { return; // bar is not visible } base = uclip; if (value <= lclip) { value = lclip; } } else if (lclip <= 0.0) { // cases 5, 6, 7 and 8 if (value >= uclip) { value = uclip; } else { if (value <= lclip) { value = lclip; } } } else { // cases 9, 10, 11 and 12 if (value <= lclip) { return; // bar is not visible } base = getLowerClip(); if (value >= uclip) { value = uclip; } } final RectangleEdge yAxisLocation = plot.getRangeAxisEdge(); final double transY1 = rangeAxis.valueToJava2D(base, dataArea, yAxisLocation); final double transY2 = rangeAxis.valueToJava2D(value, dataArea, yAxisLocation); final double rectY = Math.min(transY2, transY1); final double rectWidth = state.getBarWidth(); final double rectHeight = Math.abs(transY2 - transY1); final Rectangle2D bar = new Rectangle2D.Double(rectX, rectY, rectWidth, rectHeight); final Paint seriesPaint = getItemPaint(row, column); g2.setPaint(seriesPaint); g2.fill(bar); if (state.getBarWidth() > 3) { g2.setStroke(getItemStroke(row, column)); g2.setPaint(getItemOutlinePaint(row, column)); g2.draw(bar); } // standard deviation lines final AsymmetricStatisticalCategoryDataset asymmDataset = (AsymmetricStatisticalCategoryDataset) dataset; final Number highValRaw = asymmDataset.getUpperValue(row, column); final Number lowValRaw = asymmDataset.getLowerValue(row, column); // only draw if both error bars items are not null if (highValRaw != null && lowValRaw != null) { // ADDED THIS IF, RINKE final double highVal = rangeAxis.valueToJava2D(highValRaw.doubleValue(), dataArea, yAxisLocation); final double lowVal = rangeAxis.valueToJava2D(lowValRaw.doubleValue(), dataArea, yAxisLocation); if (getErrorIndicatorPaint() != null) { g2.setPaint(getErrorIndicatorPaint()); } else { g2.setPaint(getItemOutlinePaint(row, column)); } Line2D line = null; line = new Line2D.Double(rectX + rectWidth / 2.0d, lowVal, rectX + rectWidth / 2.0d, highVal); g2.draw(line); line = new Line2D.Double(rectX + rectWidth / 2.0d - 5.0d, highVal, rectX + rectWidth / 2.0d + 5.0d, highVal); g2.draw(line); line = new Line2D.Double(rectX + rectWidth / 2.0d - 5.0d, lowVal, rectX + rectWidth / 2.0d + 5.0d, lowVal); g2.draw(line); } final CategoryItemLabelGenerator generator = getItemLabelGenerator(row, column); if (generator != null && isItemLabelVisible(row, column)) { drawItemLabel(g2, dataset, row, column, plot, generator, bar, (value < 0.0)); } // add an item entity, if this information is being collected final EntityCollection entities = state.getEntityCollection(); if (entities != null) { addItemEntity(entities, dataset, row, column, bar); } }
From source file:nl.strohalm.cyclos.utils.jfreeAsymmetric.AsymmetricStatisticalBarRenderer.java
/** * Draws an item for a plot with a horizontal orientation. * /*from www .j a v a 2 s.c o m*/ * @param g2 the graphics device. * @param state the renderer state. * @param dataArea the data area. * @param plot the plot. * @param domainAxis the domain axis. * @param rangeAxis the range axis. * @param dataset the data. * @param row the row index (zero-based). * @param column the column index (zero-based). */ protected void drawHorizontalItem(final Graphics2D g2, final CategoryItemRendererState state, final Rectangle2D dataArea, final CategoryPlot plot, final CategoryAxis domainAxis, final ValueAxis rangeAxis, final StatisticalCategoryDataset dataset, final int row, final int column) { // nothing is drawn for null... //added this test block, Rinke final Number v = dataset.getValue(row, column); if (v == null) { return; } final RectangleEdge xAxisLocation = plot.getDomainAxisEdge(); // BAR Y double rectY = domainAxis.getCategoryStart(column, getColumnCount(), dataArea, xAxisLocation); final int seriesCount = getRowCount(); final int categoryCount = getColumnCount(); if (seriesCount > 1) { final double seriesGap = dataArea.getHeight() * getItemMargin() / (categoryCount * (seriesCount - 1)); rectY = rectY + row * (state.getBarWidth() + seriesGap); } else { rectY = rectY + row * state.getBarWidth(); } // BAR X final Number meanValue = dataset.getMeanValue(row, column); double value = meanValue.doubleValue(); double base = 0.0; final double lclip = getLowerClip(); final double uclip = getUpperClip(); if (uclip <= 0.0) { // cases 1, 2, 3 and 4 if (value >= uclip) { return; // bar is not visible } base = uclip; if (value <= lclip) { value = lclip; } } else if (lclip <= 0.0) { // cases 5, 6, 7 and 8 if (value >= uclip) { value = uclip; } else { if (value <= lclip) { value = lclip; } } } else { // cases 9, 10, 11 and 12 if (value <= lclip) { return; // bar is not visible } base = getLowerClip(); if (value >= uclip) { value = uclip; } } final RectangleEdge yAxisLocation = plot.getRangeAxisEdge(); final double transY1 = rangeAxis.valueToJava2D(base, dataArea, yAxisLocation); final double transY2 = rangeAxis.valueToJava2D(value, dataArea, yAxisLocation); final double rectX = Math.min(transY2, transY1); final double rectHeight = state.getBarWidth(); final double rectWidth = Math.abs(transY2 - transY1); final Rectangle2D bar = new Rectangle2D.Double(rectX, rectY, rectWidth, rectHeight); final Paint seriesPaint = getItemPaint(row, column); g2.setPaint(seriesPaint); g2.fill(bar); if (state.getBarWidth() > 3) { g2.setStroke(getItemStroke(row, column)); g2.setPaint(getItemOutlinePaint(row, column)); g2.draw(bar); } // ********** BLOCK WITH CHANGES RELATIVE TO StatisticalBarRenderere ********************* // standard deviation lines final AsymmetricStatisticalCategoryDataset asymmDataset = (AsymmetricStatisticalCategoryDataset) dataset; final Number highValRaw = asymmDataset.getUpperValue(row, column); final Number lowValRaw = asymmDataset.getLowerValue(row, column); if (highValRaw != null && lowValRaw != null) { // ADDED THIS IF, RINKE final double highVal = rangeAxis.valueToJava2D(highValRaw.doubleValue(), dataArea, yAxisLocation); final double lowVal = rangeAxis.valueToJava2D(lowValRaw.doubleValue(), dataArea, yAxisLocation); // *************************** end of block with changes ****************************** if (getErrorIndicatorPaint() != null) { g2.setPaint(getErrorIndicatorPaint()); } else { g2.setPaint(getItemOutlinePaint(row, column)); } Line2D line = null; line = new Line2D.Double(lowVal, rectY + rectHeight / 2.0d, highVal, rectY + rectHeight / 2.0d); g2.draw(line); line = new Line2D.Double(highVal, rectY + rectHeight * 0.25, highVal, rectY + rectHeight * 0.75); g2.draw(line); line = new Line2D.Double(lowVal, rectY + rectHeight * 0.25, lowVal, rectY + rectHeight * 0.75); g2.draw(line); } final CategoryItemLabelGenerator generator = getItemLabelGenerator(row, column); if (generator != null && isItemLabelVisible(row, column)) { drawItemLabel(g2, dataset, row, column, plot, generator, bar, (value < 0.0)); } // add an item entity, if this information is being collected final EntityCollection entities = state.getEntityCollection(); if (entities != null) { addItemEntity(entities, dataset, row, column, bar); } }
From source file:org.jfree.data.general.DatasetUtils.java
/** * Iterates over the data item of the category dataset to find * the range bounds.//from w ww.j ava2s . c om * * @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 www . ja va2 s.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); } }