Example usage for org.jfree.data.statistics BoxAndWhiskerCategoryDataset getValue

List of usage examples for org.jfree.data.statistics BoxAndWhiskerCategoryDataset getValue

Introduction

In this page you can find the example usage for org.jfree.data.statistics BoxAndWhiskerCategoryDataset getValue.

Prototype

public Number getValue(Comparable rowKey, Comparable columnKey);

Source Link

Document

Returns the value associated with the specified keys.

Usage

From source file:org.jfree.data.general.DatasetUtils.java

/**
 * Iterates over the data item of the category dataset to find
 * the range bounds./*w ww .jav  a2 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  .  ja v a2s. c om*/
 *
 * @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);
    }
}