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jfreechart example source code file (DefaultBoxAndWhiskerXYDataset.java)

This example jfreechart source code file (DefaultBoxAndWhiskerXYDataset.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - jfreechart tags/keywords

arraylist, boxandwhiskeritem, boxandwhiskeritem, clonenotsupportedexception, comparable, date, defaultboxandwhiskerxydataset, defaultboxandwhiskerxydataset, list, list, long, number, number, range, util

The jfreechart DefaultBoxAndWhiskerXYDataset.java source code

/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-2008, by Object Refinery Limited and Contributors.
 *
 * Project Info:  http://www.jfree.org/jfreechart/index.html
 *
 * This library is free software; you can redistribute it and/or modify it
 * under the terms of the GNU Lesser General Public License as published by
 * the Free Software Foundation; either version 2.1 of the License, or
 * (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful, but
 * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
 * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
 * License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301,
 * USA.
 *
 * [Java is a trademark or registered trademark of Sun Microsystems, Inc.
 * in the United States and other countries.]
 *
 * ----------------------------------
 * DefaultBoxAndWhiskerXYDataset.java
 * ----------------------------------
 * (C) Copyright 2003-2008, by David Browning and Contributors.
 *
 * Original Author:  David Browning (for Australian Institute of Marine
 *                   Science);
 * Contributor(s):   David Gilbert (for Object Refinery Limited);
 *
 * Changes
 * -------
 * 05-Aug-2003 : Version 1, contributed by David Browning (DG);
 * 08-Aug-2003 : Minor changes to comments (DB)
 *               Allow average to be null  - average is a perculiar AIMS
 *               requirement which probably should be stripped out and overlaid
 *               if required...
 *               Added a number of methods to allow the max and min non-outlier
 *               and non-farout values to be calculated
 * 12-Aug-2003   Changed the getYValue to return the highest outlier value
 *               Added getters and setters for outlier and farout coefficients
 * 27-Aug-2003 : Renamed DefaultBoxAndWhiskerDataset
 *               --> DefaultBoxAndWhiskerXYDataset (DG);
 * 06-May-2004 : Now extends AbstractXYDataset (DG);
 * 15-Jul-2004 : Switched getX() with getXValue() and getY() with
 *               getYValue() (DG);
 * 18-Nov-2004 : Updated for changes in RangeInfo interface (DG);
 * 11-Jan-2005 : Removed deprecated code in preparation for the 1.0.0
 *               release (DG);
 * ------------- JFREECHART 1.0.x ---------------------------------------------
 * 02-Feb-2007 : Removed author tags from all over JFreeChart sources (DG);
 * 12-Nov-2007 : Implemented equals() and clone() (DG);
 *
 */

package org.jfree.data.statistics;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

import org.jfree.data.Range;
import org.jfree.data.RangeInfo;
import org.jfree.data.general.DatasetChangeEvent;
import org.jfree.data.xy.AbstractXYDataset;
import org.jfree.util.ObjectUtilities;

/**
 * A simple implementation of the {@link BoxAndWhiskerXYDataset} interface.
 * This dataset implementation can hold only one series.
 */
public class DefaultBoxAndWhiskerXYDataset extends AbstractXYDataset
            implements BoxAndWhiskerXYDataset, RangeInfo {

    /** The series key. */
    private Comparable seriesKey;

    /** Storage for the dates. */
    private List dates;

    /** Storage for the box and whisker statistics. */
    private List items;

    /** The minimum range value. */
    private Number minimumRangeValue;

    /** The maximum range value. */
    private Number maximumRangeValue;

    /** The range of values. */
    private Range rangeBounds;

    /**
     * The coefficient used to calculate outliers. Tukey's default value is
     * 1.5 (see EDA) Any value which is greater than Q3 + (interquartile range
     * * outlier coefficient) is considered to be an outlier.  Can be altered
     * if the data is particularly skewed.
     */
    private double outlierCoefficient = 1.5;

    /**
     * The coefficient used to calculate farouts. Tukey's default value is 2
     * (see EDA) Any value which is greater than Q3 + (interquartile range *
     * farout coefficient) is considered to be a farout.  Can be altered if the
     * data is particularly skewed.
     */
    private double faroutCoefficient = 2.0;

    /**
     * Constructs a new box and whisker dataset.
     * <p>
     * The current implementation allows only one series in the dataset.
     * This may be extended in a future version.
     *
     * @param seriesKey  the key for the series.
     */
    public DefaultBoxAndWhiskerXYDataset(Comparable seriesKey) {
        this.seriesKey = seriesKey;
        this.dates = new ArrayList();
        this.items = new ArrayList();
        this.minimumRangeValue = null;
        this.maximumRangeValue = null;
        this.rangeBounds = null;
    }

    /**
     * Returns the value used as the outlier coefficient. The outlier
     * coefficient gives an indication of the degree of certainty in an
     * unskewed distribution.  Increasing the coefficient increases the number
     * of values included. Currently only used to ensure farout coefficient is
     * greater than the outlier coefficient
     *
     * @return A <code>double representing the value used to calculate
     *         outliers.
     *
     * @see #setOutlierCoefficient(double)
     */
    public double getOutlierCoefficient() {
        return this.outlierCoefficient;
    }

    /**
     * Sets the value used as the outlier coefficient
     *
     * @param outlierCoefficient  being a <code>double representing the
     *                            value used to calculate outliers.
     *
     * @see #getOutlierCoefficient()
     */
    public void setOutlierCoefficient(double outlierCoefficient) {
        this.outlierCoefficient = outlierCoefficient;
    }

    /**
     * Returns the value used as the farout coefficient. The farout coefficient
     * allows the calculation of which values will be off the graph.
     *
     * @return A <code>double representing the value used to calculate
     *         farouts.
     *
     * @see #setFaroutCoefficient(double)
     */
    public double getFaroutCoefficient() {
        return this.faroutCoefficient;
    }

    /**
     * Sets the value used as the farouts coefficient. The farout coefficient
     * must b greater than the outlier coefficient.
     *
     * @param faroutCoefficient being a <code>double representing the
     *                          value used to calculate farouts.
     *
     * @see #getFaroutCoefficient()
     */
    public void setFaroutCoefficient(double faroutCoefficient) {

        if (faroutCoefficient > getOutlierCoefficient()) {
            this.faroutCoefficient = faroutCoefficient;
        }
        else {
            throw new IllegalArgumentException("Farout value must be greater "
                + "than the outlier value, which is currently set at: ("
                + getOutlierCoefficient() + ")");
        }
    }

    /**
     * Returns the number of series in the dataset.
     * <p>
     * This implementation only allows one series.
     *
     * @return The number of series.
     */
    public int getSeriesCount() {
        return 1;
    }

    /**
     * Returns the number of items in the specified series.
     *
     * @param series  the index (zero-based) of the series.
     *
     * @return The number of items in the specified series.
     */
    public int getItemCount(int series) {
        return this.dates.size();
    }

    /**
     * Adds an item to the dataset and sends a {@link DatasetChangeEvent} to
     * all registered listeners.
     *
     * @param date  the date (<code>null not permitted).
     * @param item  the item (<code>null not permitted).
     */
    public void add(Date date, BoxAndWhiskerItem item) {
        this.dates.add(date);
        this.items.add(item);
        if (this.minimumRangeValue == null) {
            this.minimumRangeValue = item.getMinRegularValue();
        }
        else {
            if (item.getMinRegularValue().doubleValue()
                    < this.minimumRangeValue.doubleValue()) {
                this.minimumRangeValue = item.getMinRegularValue();
            }
        }
        if (this.maximumRangeValue == null) {
            this.maximumRangeValue = item.getMaxRegularValue();
        }
        else {
            if (item.getMaxRegularValue().doubleValue()
                    > this.maximumRangeValue.doubleValue()) {
                this.maximumRangeValue = item.getMaxRegularValue();
            }
        }
        this.rangeBounds = new Range(this.minimumRangeValue.doubleValue(),
                this.maximumRangeValue.doubleValue());
        fireDatasetChanged();
    }

    /**
     * Returns the name of the series stored in this dataset.
     *
     * @param i  the index of the series. Currently ignored.
     *
     * @return The name of this series.
     */
    public Comparable getSeriesKey(int i) {
        return this.seriesKey;
    }

    /**
     * Return an item from within the dataset.
     *
     * @param series  the series index (ignored, since this dataset contains
     *                only one series).
     * @param item  the item within the series (zero-based index)
     *
     * @return The item.
     */
    public BoxAndWhiskerItem getItem(int series, int item) {
        return (BoxAndWhiskerItem) this.items.get(item);
    }

    /**
     * Returns the x-value for one item in a series.
     * <p>
     * The value returned is a Long object generated from the underlying Date
     * object.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The x-value.
     */
    public Number getX(int series, int item) {
        return new Long(((Date) this.dates.get(item)).getTime());
    }

    /**
     * Returns the x-value for one item in a series, as a Date.
     * <p>
     * This method is provided for convenience only.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The x-value as a Date.
     */
    public Date getXDate(int series, int item) {
        return (Date) this.dates.get(item);
    }

    /**
     * Returns the y-value for one item in a series.
     * <p>
     * This method (from the XYDataset interface) is mapped to the
     * getMeanValue() method.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The y-value.
     */
    public Number getY(int series, int item) {
        return getMeanValue(series, item);
    }

    /**
     * Returns the mean for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The mean for the specified series and item.
     */
    public Number getMeanValue(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMean();
        }
        return result;
    }

    /**
     * Returns the median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The median-value for the specified series and item.
     */
    public Number getMedianValue(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMedian();
        }
        return result;
    }

    /**
     * Returns the Q1 median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The Q1 median-value for the specified series and item.
     */
    public Number getQ1Value(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getQ1();
        }
        return result;
    }

    /**
     * Returns the Q3 median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The Q3 median-value for the specified series and item.
     */
    public Number getQ3Value(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getQ3();
        }
        return result;
    }

    /**
     * Returns the min-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The min-value for the specified series and item.
     */
    public Number getMinRegularValue(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMinRegularValue();
        }
        return result;
    }

    /**
     * Returns the max-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The max-value for the specified series and item.
     */
    public Number getMaxRegularValue(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMaxRegularValue();
        }
        return result;
    }

    /**
     * Returns the minimum value which is not a farout.
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return A <code>Number representing the maximum non-farout value.
     */
    public Number getMinOutlier(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMinOutlier();
        }
        return result;
    }

    /**
     * Returns the maximum value which is not a farout, ie Q3 + (interquartile
     * range * farout coefficient).
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return A <code>Number representing the maximum non-farout value.
     */
    public Number getMaxOutlier(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMaxOutlier();
        }
        return result;
    }

    /**
     * Returns an array of outliers for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The array of outliers for the specified series and item.
     */
    public List getOutliers(int series, int item) {
        List result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getOutliers();
        }
        return result;
    }

    /**
     * Returns the minimum y-value in the dataset.
     *
     * @param includeInterval  a flag that determines whether or not the
     *                         y-interval is taken into account.
     *
     * @return The minimum value.
     */
    public double getRangeLowerBound(boolean includeInterval) {
        double result = Double.NaN;
        if (this.minimumRangeValue != null) {
            result = this.minimumRangeValue.doubleValue();
        }
        return result;
    }

    /**
     * Returns the maximum y-value in the dataset.
     *
     * @param includeInterval  a flag that determines whether or not the
     *                         y-interval is taken into account.
     *
     * @return The maximum value.
     */
    public double getRangeUpperBound(boolean includeInterval) {
        double result = Double.NaN;
        if (this.maximumRangeValue != null) {
            result = this.maximumRangeValue.doubleValue();
        }
        return result;
    }

    /**
     * Returns the range of the values in this dataset's range.
     *
     * @param includeInterval  a flag that determines whether or not the
     *                         y-interval is taken into account.
     *
     * @return The range.
     */
    public Range getRangeBounds(boolean includeInterval) {
        return this.rangeBounds;
    }

    /**
     * Tests this dataset for equality with an arbitrary object.
     *
     * @param obj  the object (<code>null permitted).
     *
     * @return A boolean.
     */
    public boolean equals(Object obj) {
        if (obj == this) {
            return true;
        }
        if (!(obj instanceof DefaultBoxAndWhiskerXYDataset)) {
            return false;
        }
        DefaultBoxAndWhiskerXYDataset that
                = (DefaultBoxAndWhiskerXYDataset) obj;
        if (!ObjectUtilities.equal(this.seriesKey, that.seriesKey)) {
            return false;
        }
        if (!this.dates.equals(that.dates)) {
            return false;
        }
        if (!this.items.equals(that.items)) {
            return false;
        }
        return true;
    }

    /**
     * Returns a clone of the plot.
     *
     * @return A clone.
     *
     * @throws CloneNotSupportedException  if the cloning is not supported.
     */
    public Object clone() throws CloneNotSupportedException {
        DefaultBoxAndWhiskerXYDataset clone
                = (DefaultBoxAndWhiskerXYDataset) super.clone();
        clone.dates = new java.util.ArrayList(this.dates);
        clone.items = new java.util.ArrayList(this.items);
        return clone;
    }

}

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