histogramdataset.java

这是一个segy数据显示程序

/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-2004, 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., 59 Temple Place, Suite 330,
 * Boston, MA 02111-1307, USA.
 *
 * [Java is a trademark or registered trademark of Sun Microsystems, Inc. 
 * in the United States and other countries.]
 *
 * ---------------------
 * HistogramDataset.java
 * ---------------------
 * (C) Copyright 2003, 2004, by Jelai Wang and Contributors.
 *
 * Original Author:  Jelai Wang (jelaiw AT mindspring.com);
 * Contributor(s):   David Gilbert (for Object Refinery Limited);
 *
 * $Id: HistogramDataset.java,v 1.6 2004/05/06 07:43:24 mungady Exp $
 *
 * Changes
 * -------
 * 06-Jul-2003 : Version 1, contributed by Jelai Wang (DG);
 * 07-Jul-2003 : Changed package and added Javadocs (DG);
 * 15-Oct-2003 : Updated Javadocs and removed array sorting (JW);
 * 09-Jan-2004 : Added fix by "Z." posted in the JFreeChart forum (DG);
 * 01-Mar-2004 : Added equals() and clone() methods and implemented Serializable.  Also added 
 *               new addSeries() method (DG);
 * 06-May-2004 : Now extends AbstractIntervalXYDataset (DG);
 * 
 */

package org.jfree.data.statistics;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.jfree.data.AbstractIntervalXYDataset;
import org.jfree.data.DatasetChangeEvent;
import org.jfree.data.IntervalXYDataset;
import org.jfree.util.ObjectUtils;

/**
 * A dataset that can be used for creating histograms.
 * <p>
 * See the <code>HistogramDemo.java</code> file in the JFreeChart distribution for an example.
 * 
 * @author Jelai Wang, jelaiw AT mindspring.com
 */
public class HistogramDataset extends AbstractIntervalXYDataset 
                              implements IntervalXYDataset, Cloneable, Serializable {

    /** A list of maps. */
    private List list;
    
    /** The histogram type. */
    private HistogramType type;

    /**
     * Creates a new (empty) dataset with a default type of {@link HistogramType}.FREQUENCY.
     */
    public HistogramDataset() {
        this.list = new ArrayList();
        this.type = HistogramType.FREQUENCY;
    }
    
    /**
     * Returns the histogram type. 
     * 
     * @return the type (never <code>null</code>).
     */
    public HistogramType getType() { 
        return this.type; 
    }

    /**
     * Sets the histogram type and sends a {@link DatasetChangeEvent} to all registered
     * listeners.
     * 
     * @param type  the type (<code>null</code> not permitted).
     */
    public void setType(final HistogramType type) {
        if (type == null) {
            throw new IllegalArgumentException("Null 'type' argument");
        }
        this.type = type;   
        notifyListeners(new DatasetChangeEvent(this, this));
    }

    /**
     * Adds a series to the dataset, using the specified number of bins.
     * 
     * @param name  the series name (<code>null</code> not permitted).
     * @param values the values (<code>null</code> not permitted).
     * @param bins  the number of bins (must be at least 1).
     */
    public void addSeries(final String name, final double[] values, final int bins) {
        // defer argument checking...
        final double minimum = getMinimum(values);
        final double maximum = getMaximum(values);
        addSeries(name, values, bins, minimum, maximum);
    }

    /**
     * Adds a series to the dataset. Any data value falling on a bin boundary will be assigned to
     * the lower value bin, with the exception of the lower bound of the bin range which is always
     * assigned to the first bin.
     * 
     * @param name  the series name (<code>null</code> not permitted).
     * @param values  the raw observations.
     * @param bins  the number of bins.
     * @param minimum  the lower bound of the bin range.
     * @param maximum  the upper bound of the bin range.
     */
    public void addSeries(final String name, 
                          final double[] values, 
                          final int bins, 
                          final double minimum, 
                          final double maximum) {
        
        if (name == null) {
            throw new IllegalArgumentException("Null 'name' argument.");   
        }
        if (values == null) {
            throw new IllegalArgumentException("Null 'values' argument.");
        }
        else if (bins < 1) {
            throw new IllegalArgumentException("The 'bins' value must be at least 1.");
        }
        final double binWidth = (maximum - minimum) / bins;

        double tmp = minimum;
        final List binList = new ArrayList(bins);
        for (int i = 0; i < bins; i++) {
            final HistogramBin bin;
            // make sure bins[bins.length]'s upper boundary ends at maximum
            // to avoid the rounding issue. the bins[0] lower boundary is
            // guaranteed start from min
            if (i == bins - 1) {
                bin = new HistogramBin(tmp, maximum);
            }
            else {
                bin = new HistogramBin(tmp, tmp + binWidth);
            }
            tmp = tmp + binWidth;
            binList.add(bin);
        }        
        // fill the bins
        for (int i = 0; i < values.length; i++) {
            for (int j = 0; j < bins; j++) {
                final HistogramBin currentBin = (HistogramBin) binList.get(j);
                if (values[i] >= currentBin.getStartBoundary()
                    && values[i] <= currentBin.getEndBoundary()) { 
                    // note the greedy <=
                    currentBin.incrementCount();
                    break; // break out of inner loop
                }
            }
        }
        // generic map for each series
        final Map map = new HashMap();
        map.put("name", name);
        map.put("bins", binList);
        map.put("values.length", new Integer(values.length));
        map.put("bin width", new Double(binWidth));
        this.list.add(map);
    }
    
    /**
     * Returns the minimum value in an array of values.
     * 
     * @param values  the values (<code>null</code> not permitted and zero-length array 
     *                not permitted).
     * 
     * @return  the minimum value.
     */
    private double getMinimum(final double[] values) {
        if (values == null || values.length < 1) {
            throw new IllegalArgumentException("Null or zero length 'values' argument.");
        }
        double min = Double.MAX_VALUE;
        for (int i = 0; i < values.length; i++) {
            if (values[i] < min) {
                min = values[i];
            }
        }
        return min;
    }

    /**
     * Returns the maximum value in an array of values.
     * 
     * @param values  the values (<code>null</code> not permitted and zero-length array 
     *                not permitted).
     * 
     * @return the maximum value.
     */
    private double getMaximum(final double[] values) {
        if (values == null || values.length < 1) {
            throw new IllegalArgumentException("Null or zero length 'values' argument.");
        }
        double max = -Double.MAX_VALUE;
        for (int i = 0; i < values.length; i++) {
            if (values[i] > max) {
                max = values[i];
            }
        }
        return max;
    }

    /**
     * Returns the bins for a series.
     * 
     * @param series  the series index.
     * 
     * @return An array of bins.
     */
    List getBins(final int series) {
        final Map map = (Map) this.list.get(series);
        return (List) map.get("bins"); 
    }

    /**
     * Returns the total number of observations for a series.
     * 
     * @param series  the series index.
     * 
     * @return the total.
     */
    private int getTotal(final int series) {
        final Map map = (Map) this.list.get(series);
        return ((Integer) map.get("values.length")).intValue(); 
    }

    /**
     * Returns the bin width for a series.
     * 
     * @param series  the series index (zero based).
     * 
     * @return the bin width.
     */
    private double getBinWidth(final int series) {
        final Map map = (Map) this.list.get(series);
        return ((Double) map.get("bin width")).doubleValue(); 
    }

    /**
     * Returns the number of series in the dataset.
     * 
     * @return The series count.
     */
    public int getSeriesCount() { 
        return this.list.size(); 
    }
    
    /**
     * Returns the name for a series.
     * 
     * @param series  the series index (zero based).
     * 
     * @return The series name.
     */
    public String getSeriesName(final int series) {
        final Map map = (Map) this.list.get(series);
        return (String) map.get("name"); 
    }

    /**
     * Returns the number of data items for a series.
     * 
     * @param series  the series index (zero based).
     * 
     * @return the item count.
     */
    public int getItemCount(final int series) {
        return getBins(series).size(); 
    }

    /**
     * Returns the X value for a bin. 
     * <p>
     * This value won't be used for plotting histograms, since the renderer will ignore it.
     * But other renderers can use it (for example, you could use the dataset to create a line
     * chart).
     * 
     * @param series  the series index (zero based).
     * @param item  the item index (zero based).
     * 
     * @return The start value.
     */
    public Number getXValue(final int series, final int item) {
        final List bins = getBins(series);
        final HistogramBin bin = (HistogramBin) bins.get(item);
        final double x = (bin.getStartBoundary() + bin.getEndBoundary()) / 2.;
        return new Double(x);
    }

    /**
     * Returns the y-value for a bin (calculated to take into account the histogram type).
     * 
     * @param series  the series index (zero based).
     * @param item  the item index (zero based).
     * 
     * @return The y-value.
     */
    public Number getYValue(final int series, final int item) {
        final List bins = getBins(series);
        final HistogramBin bin = (HistogramBin) bins.get(item);
        final double total = getTotal(series);
        final double binWidth = getBinWidth(series);

        if (this.type == HistogramType.FREQUENCY) {
            return new Double(bin.getCount());
        }
        else if (this.type == HistogramType.RELATIVE_FREQUENCY) {
            return new Double(bin.getCount() / total);
        }
        else if (this.type == HistogramType.SCALE_AREA_TO_1) {
            return new Double(bin.getCount() / (binWidth * total));
        }
        else { // pretty sure this shouldn't ever happen
            throw new IllegalStateException();
        }
    }

    /**
     * Returns the start value for a bin.
     * 
     * @param series  the series index (zero based).
     * @param item  the item index (zero based).
     * 
     * @return The start value.
     */
    public Number getStartXValue(final int series, final int item) {
        final List bins = getBins(series);
        final HistogramBin bin = (HistogramBin) bins.get(item);
        return new Double(bin.getStartBoundary());
    }

    /**
     * Returns the end value for a bin.
     * 
     * @param series  the series index (zero based).
     * @param item  the item index (zero based).
     * 
     * @return The end value.
     */
    public Number getEndXValue(final int series, final int item) {
        final List bins = getBins(series);
        final HistogramBin bin = (HistogramBin) bins.get(item);
        return new Double(bin.getEndBoundary());
    }

    /**
     * Returns the start y-value for a bin (which is the same as the y-value, this method 
     * exists only to support the general form of the {@link IntervalXYDataset} interface).
     * 
     * @param series  the series index (zero based).
     * @param item  the item index (zero based).
     * 
     * @return The y-value.
     */
    public Number getStartYValue(final int series, final int item) {
        return getYValue(series, item);
    }

    /**
     * Returns the end y-value for a bin (which is the same as the y-value, this method 
     * exists only to support the general form of the {@link IntervalXYDataset} interface).
     * 
     * @param series  the series index (zero based).
     * @param item  the item index (zero based).
     * 
     * @return The Y value.
     */    
    public Number getEndYValue(final int series, final int item) {
        return getYValue(series, item);
    }

    /**
     * Tests this dataset for equality with an arbitrary object.
     * 
     * @param obj  the object to test against (<code>null</code> permitted).
     * 
     * @return A boolean.
     */
    public boolean equals(final Object obj) {
        
        if (obj == null) {
            return false;   
        }
        
        if (obj == this) {
            return true;   
        }
        
        if (obj instanceof HistogramDataset) {
            final HistogramDataset dataset = (HistogramDataset) obj;
            final boolean b0 = ObjectUtils.equal(dataset.type, this.type);
            final boolean b1 = ObjectUtils.equal(dataset.list, this.list);
            return b0 && b1;
        }
        
        return false;
        
    }

    /**
     * Returns a clone of the dataset.
     * 
     * @return A clone of the dataset.
     * 
     * @throws CloneNotSupportedException if the object cannot be cloned.
     */
    public Object clone() throws CloneNotSupportedException {
        return super.clone();   
    }

}