List of usage examples for org.jfree.data.statistics MultiValueCategoryDataset getValues
public List getValues(Comparable rowKey, Comparable columnKey);
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 a v a 2s . 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 w w w . j av a 2 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); } }