datasetutilities.java

来自「JfreeChart 常用图表例子」· Java 代码 · 共 1,512 行 · 第 1/4 页

/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-2005, 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.]
 *
 * ---------------------
 * DatasetUtilities.java
 * ---------------------
 * (C) Copyright 2000-2005, by Object Refinery Limited and Contributors.
 *
 * Original Author:  David Gilbert (for Object Refinery Limited);
 * Contributor(s):   Andrzej Porebski (bug fix);
 *                   Jonathan Nash (bug fix);
 *                   Richard Atkinson;
 *                   Andreas Schroeder (beatification)
 *
 * $Id: DatasetUtilities.java,v 1.18 2005/05/20 08:20:04 mungady Exp $
 *
 * Changes (from 18-Sep-2001)
 * --------------------------
 * 18-Sep-2001 : Added standard header and fixed DOS encoding problem (DG);
 * 22-Oct-2001 : Renamed DataSource.java --> Dataset.java etc. (DG);
 * 15-Nov-2001 : Moved to package com.jrefinery.data.* in the JCommon class 
 *               library (DG);
 *               Changed to handle null values from datasets (DG);
 *               Bug fix (thanks to Andrzej Porebski) - initial value now set 
 *               to positive or negative infinity when iterating (DG);
 * 22-Nov-2001 : Datasets with containing no data now return null for min and 
 *               max calculations (DG);
 * 13-Dec-2001 : Extended to handle HighLowDataset and IntervalXYDataset (DG);
 * 15-Feb-2002 : Added getMinimumStackedRangeValue() and 
 *               getMaximumStackedRangeValue() (DG);
 * 28-Feb-2002 : Renamed Datasets.java --> DatasetUtilities.java (DG);
 * 18-Mar-2002 : Fixed bug in min/max domain calculation for datasets that 
 *               implement the CategoryDataset interface AND the XYDataset 
 *               interface at the same time.  Thanks to Jonathan Nash for the 
 *               fix (DG);
 * 23-Apr-2002 : Added getDomainExtent() and getRangeExtent() methods (DG);
 * 13-Jun-2002 : Modified range measurements to handle 
 *               IntervalCategoryDataset (DG);
 * 12-Jul-2002 : Method name change in DomainInfo interface (DG);
 * 30-Jul-2002 : Added pie dataset summation method (DG);
 * 01-Oct-2002 : Added a method for constructing an XYDataset from a Function2D
 *               instance (DG);
 * 24-Oct-2002 : Amendments required following changes to the CategoryDataset 
 *               interface (DG);
 * 18-Nov-2002 : Changed CategoryDataset to TableDataset (DG);
 * 04-Mar-2003 : Added isEmpty(XYDataset) method (DG);
 * 05-Mar-2003 : Added a method for creating a CategoryDataset from a 
 *               KeyedValues instance (DG);
 * 15-May-2003 : Renamed isEmpty --> isEmptyOrNull (DG);
 * 25-Jun-2003 : Added limitPieDataset methods (RA);
 * 26-Jun-2003 : Modified getDomainExtent() method to accept null datasets (DG);
 * 27-Jul-2003 : Added getStackedRangeExtent(TableXYDataset data) (RA);
 * 18-Aug-2003 : getStackedRangeExtent(TableXYDataset data) now handles null 
 *               values (RA);
 * 02-Sep-2003 : Added method to check for null or empty PieDataset (DG);
 * 18-Sep-2003 : Fix for bug 803660 (getMaximumRangeValue for 
 *               CategoryDataset) (DG);
 * 20-Oct-2003 : Added getCumulativeRangeExtent() method (DG);
 * 09-Jan-2003 : Added argument checking code to the createCategoryDataset() 
 *               method (DG);
 * 23-Mar-2004 : Fixed bug in getMaximumStackedRangeValue() method (DG);
 * 31-Mar-2004 : Exposed the extent iteration algorithms to use one of them and 
 *               applied noninstantiation pattern (AS);
 * 11-May-2004 : Renamed getPieDatasetTotal --> calculatePieDatasetTotal (DG);
 * 15-Jul-2004 : Switched getX() with getXValue() and getY() with getYValue();
 * 24-Aug-2004 : Added argument checks to createCategoryDataset() method (DG);
 * 04-Oct-2004 : Renamed ArrayUtils --> ArrayUtilities (DG);
 * 06-Oct-2004 : Renamed findDomainExtent() --> findDomainBounds(),
 *               findRangeExtent() --> findRangeBounds() (DG);
 * 07-Jan-2005 : Renamed findStackedRangeExtent() --> findStackedRangeBounds(),
 *               findCumulativeRangeExtent() --> findCumulativeRangeBounds(),
 *               iterateXYRangeExtent() --> iterateXYRangeBounds(), 
 *               removed deprecated methods (DG);
 * 03-Feb-2005 : The findStackedRangeBounds() methods now return null for 
 *               empty datasets (DG);
 * 03-Mar-2005 : Moved createNumberArray() and createNumberArray2D() methods
 *               from DatasetUtilities --> DataUtilities (DG);
 * 
 */

package org.jfree.data.general;

import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;

import org.jfree.data.DomainInfo;
import org.jfree.data.KeyToGroupMap;
import org.jfree.data.KeyedValues;
import org.jfree.data.Range;
import org.jfree.data.RangeInfo;
import org.jfree.data.category.CategoryDataset;
import org.jfree.data.category.DefaultCategoryDataset;
import org.jfree.data.category.IntervalCategoryDataset;
import org.jfree.data.function.Function2D;
import org.jfree.data.xy.OHLCDataset;
import org.jfree.data.xy.IntervalXYDataset;
import org.jfree.data.xy.TableXYDataset;
import org.jfree.data.xy.XYDataset;
import org.jfree.data.xy.XYSeries;
import org.jfree.data.xy.XYSeriesCollection;
import org.jfree.util.ArrayUtilities;

/**
 * A collection of useful static methods relating to datasets.
 */
public final class DatasetUtilities {
    
    /**
     * Private constructor for non-instanceability.
     */
    private DatasetUtilities() {
        // now try to instantiate this ;-)
    }

    /**
     * Calculates the total of all the values in a {@link PieDataset}.  If 
     * the dataset contains negative or <code>null</code> values, they are 
     * ignored. 
     *
     * @param dataset  the dataset (<code>null</code> not permitted).
     *
     * @return The total.
     */
    public static double calculatePieDatasetTotal(PieDataset dataset) {
        if (dataset == null) {
            throw new IllegalArgumentException("Null 'dataset' argument.");
        }
        List keys = dataset.getKeys();
        double totalValue = 0;
        Iterator iterator = keys.iterator();
        while (iterator.hasNext()) {
            Comparable current = (Comparable) iterator.next();
            if (current != null) {
                Number value = dataset.getValue(current);
                double v = 0.0;
                if (value != null) {
                    v = value.doubleValue();
                }
                if (v > 0) {
                    totalValue = totalValue + v;
                }
            }
        }
        return totalValue;
    }

    /**
     * Creates a pie dataset from a table dataset by taking all the values
     * for a single row.
     *
     * @param dataset  the dataset (<code>null</code> not permitted).
     * @param rowKey  the row key.
     *
     * @return A pie dataset.
     */
    public static PieDataset createPieDatasetForRow(CategoryDataset dataset, 
                                                    Comparable rowKey) {
        int row = dataset.getRowIndex(rowKey);
        return createPieDatasetForRow(dataset, row);
    }

    /**
     * Creates a pie dataset from a table dataset by taking all the values
     * for a single row.
     *
     * @param dataset  the dataset (<code>null</code> not permitted).
     * @param row  the row (zero-based index).
     *
     * @return A pie dataset.
     */
    public static PieDataset createPieDatasetForRow(CategoryDataset dataset, 
                                                    int row) {
        DefaultPieDataset result = new DefaultPieDataset();
        int columnCount = dataset.getColumnCount();
        for (int current = 0; current < columnCount; current++) {
            Comparable columnKey = dataset.getColumnKey(current);
            result.setValue(columnKey, dataset.getValue(row, current));
        }
        return result;
    }

    /**
     * Creates a pie dataset from a table dataset by taking all the values
     * for a single column.
     *
     * @param dataset  the dataset (<code>null</code> not permitted).
     * @param columnKey  the column key.
     *
     * @return A pie dataset.
     */
    public static PieDataset createPieDatasetForColumn(CategoryDataset dataset,
                                                       Comparable columnKey) {
        int column = dataset.getColumnIndex(columnKey);
        return createPieDatasetForColumn(dataset, column);
    }

    /**
     * Creates a pie dataset from a {@link CategoryDataset} by taking all the 
     * values for a single column.
     *
     * @param dataset  the dataset (<code>null</code> not permitted).
     * @param column  the column (zero-based index).
     *
     * @return A pie dataset.
     */
    public static PieDataset createPieDatasetForColumn(CategoryDataset dataset, 
                                                       int column) {
        DefaultPieDataset result = new DefaultPieDataset();
        int rowCount = dataset.getRowCount();
        for (int i = 0; i < rowCount; i++) {
            Comparable rowKey = dataset.getRowKey(i);
            result.setValue(rowKey, dataset.getValue(i, column));
        }
        return result;
    }

    /**
     * Creates a new pie dataset based on the supplied dataset, but modified
     * by aggregating all the low value items (those whose value is lower
     * than the <code>percentThreshold</code>) into a single item with the
     * key "Other".
     *
     * @param source  the source dataset (<code>null</code> not permitted).
     * @param key  a new key for the aggregated items (<code>null</code> not
     *             permitted).
     * @param minimumPercent  the percent threshold.
     * 
     * @return The pie dataset with (possibly) aggregated items.
     */
    public static PieDataset createConsolidatedPieDataset(PieDataset source, 
                                                          Comparable key,
                                                          double minimumPercent)
    {
        return DatasetUtilities.createConsolidatedPieDataset(
            source, key, minimumPercent, 2
        );
    }

    /**
     * Creates a new pie dataset based on the supplied dataset, but modified 
     * by aggregating all the low value items (those whose value is lower 
     * than the <code>percentThreshold</code>) into a single item.  The 
     * aggregated items are assigned the specified key.  Aggregation only 
     * occurs if there are at least <code>minItems</code> items to aggregate.
     *
     * @param source  the source dataset (<code>null</code> not permitted).
     * @param key  the key to represent the aggregated items.
     * @param minimumPercent  the percent threshold (ten percent is 0.10).
     * @param minItems  only aggregate low values if there are at least this 
     *                  many.
     * 
     * @return The pie dataset with (possibly) aggregated items.
     */
    public static PieDataset createConsolidatedPieDataset(PieDataset source,
                                                          Comparable key,
                                                          double minimumPercent,
                                                          int minItems) {
        
        DefaultPieDataset result = new DefaultPieDataset();
        double total = DatasetUtilities.calculatePieDatasetTotal(source);

        //  Iterate and find all keys below threshold percentThreshold
        List keys = source.getKeys();
        ArrayList otherKeys = new ArrayList();
        Iterator iterator = keys.iterator();
        while (iterator.hasNext()) {
            Comparable currentKey = (Comparable) iterator.next();
            Number dataValue = source.getValue(currentKey);
            if (dataValue != null) {
                double value = dataValue.doubleValue();
                if (value / total < minimumPercent) {
                    otherKeys.add(currentKey);
                }
            }
        }

        //  Create new dataset with keys above threshold percentThreshold
        iterator = keys.iterator();
        double otherValue = 0;
        while (iterator.hasNext()) {
            Comparable currentKey = (Comparable) iterator.next();
            Number dataValue = source.getValue(currentKey);
            if (dataValue != null) {
                if (otherKeys.contains(currentKey) 
                    && otherKeys.size() >= minItems) {
                    //  Do not add key to dataset
                    otherValue += dataValue.doubleValue();
                }
                else {
                    //  Add key to dataset
                    result.setValue(currentKey, dataValue);
                }
            }
        }
        //  Add other category if applicable
        if (otherKeys.size() >= minItems) {
            result.setValue(key, otherValue);
        }
        return result;
    }

    /**
     * Creates a {@link CategoryDataset} that contains a copy of the data in an
     * array (instances of <code>Double</code> are created to represent the 
     * data items).
     * <p>
     * Row and column keys are created by appending 0, 1, 2, ... to the 
     * supplied prefixes.
     *
     * @param rowKeyPrefix  the row key prefix.
     * @param columnKeyPrefix  the column key prefix.
     * @param data  the data.
     *
     * @return The dataset.
     */
    public static CategoryDataset createCategoryDataset(String rowKeyPrefix,
                                                        String columnKeyPrefix,
                                                        double[][] data) {

        DefaultCategoryDataset result = new DefaultCategoryDataset();
        for (int r = 0; r < data.length; r++) {
            String rowKey = rowKeyPrefix + (r + 1);
            for (int c = 0; c < data[r].length; c++) {
                String columnKey = columnKeyPrefix + (c + 1);
                result.addValue(new Double(data[r][c]), rowKey, columnKey);
            }
        }
        return result;

    }

    /**
     * Creates a {@link CategoryDataset} that contains a copy of the data in 
     * an array.
     * <p>
     * Row and column keys are created by appending 0, 1, 2, ... to the 
     * supplied prefixes.
     *
     * @param rowKeyPrefix  the row key prefix.
     * @param columnKeyPrefix  the column key prefix.
     * @param data  the data.
     *
     * @return The dataset.
     */
    public static CategoryDataset createCategoryDataset(String rowKeyPrefix,
                                                        String columnKeyPrefix,
                                                        Number[][] data) {

        DefaultCategoryDataset result = new DefaultCategoryDataset();
        for (int r = 0; r < data.length; r++) {
            String rowKey = rowKeyPrefix + (r + 1);
            for (int c = 0; c < data[r].length; c++) {
                String columnKey = columnKeyPrefix + (c + 1);
                result.addValue(data[r][c], rowKey, columnKey);
            }