Java > Open Source Codes > org > jfree > data > general > DatasetUtilities


1 /* ===========================================================
2  * JFreeChart : a free chart library for the Java(tm) platform
3  * ===========================================================
4  *
5  * (C) Copyright 2000-2006, by Object Refinery Limited and Contributors.
6  *
7  * Project Info: http://www.jfree.org/jfreechart/index.html
8  *
9  * This library is free software; you can redistribute it and/or modify it
10  * under the terms of the GNU Lesser General Public License as published by
11  * the Free Software Foundation; either version 2.1 of the License, or
12  * (at your option) any later version.
13  *
14  * This library is distributed in the hope that it will be useful, but
15  * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
16  * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
17  * License for more details.
18  *
19  * You should have received a copy of the GNU Lesser General Public
20  * License along with this library; if not, write to the Free Software
21  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,
22  * USA.
23  *
24  * [Java is a trademark or registered trademark of Sun Microsystems, Inc.
25  * in the United States and other countries.]
26  *
27  * ---------------------
28  * DatasetUtilities.java
29  * ---------------------
30  * (C) Copyright 2000-2006, by Object Refinery Limited and Contributors.
31  *
32  * Original Author: David Gilbert (for Object Refinery Limited);
33  * Contributor(s): Andrzej Porebski (bug fix);
34  * Jonathan Nash (bug fix);
35  * Richard Atkinson;
36  * Andreas Schroeder (beatification)
37  *
38  * $Id: DatasetUtilities.java,v 1.18.2.4 2006/08/02 15:27:14 mungady Exp $
39  *
40  * Changes (from 18-Sep-2001)
41  * --------------------------
42  * 18-Sep-2001 : Added standard header and fixed DOS encoding problem (DG);
43  * 22-Oct-2001 : Renamed DataSource.java --> Dataset.java etc. (DG);
44  * 15-Nov-2001 : Moved to package com.jrefinery.data.* in the JCommon class
45  * library (DG);
46  * Changed to handle null values from datasets (DG);
47  * Bug fix (thanks to Andrzej Porebski) - initial value now set
48  * to positive or negative infinity when iterating (DG);
49  * 22-Nov-2001 : Datasets with containing no data now return null for min and
50  * max calculations (DG);
51  * 13-Dec-2001 : Extended to handle HighLowDataset and IntervalXYDataset (DG);
52  * 15-Feb-2002 : Added getMinimumStackedRangeValue() and
53  * getMaximumStackedRangeValue() (DG);
54  * 28-Feb-2002 : Renamed Datasets.java --> DatasetUtilities.java (DG);
55  * 18-Mar-2002 : Fixed bug in min/max domain calculation for datasets that
56  * implement the CategoryDataset interface AND the XYDataset
57  * interface at the same time. Thanks to Jonathan Nash for the
58  * fix (DG);
59  * 23-Apr-2002 : Added getDomainExtent() and getRangeExtent() methods (DG);
60  * 13-Jun-2002 : Modified range measurements to handle
61  * IntervalCategoryDataset (DG);
62  * 12-Jul-2002 : Method name change in DomainInfo interface (DG);
63  * 30-Jul-2002 : Added pie dataset summation method (DG);
64  * 01-Oct-2002 : Added a method for constructing an XYDataset from a Function2D
65  * instance (DG);
66  * 24-Oct-2002 : Amendments required following changes to the CategoryDataset
67  * interface (DG);
68  * 18-Nov-2002 : Changed CategoryDataset to TableDataset (DG);
69  * 04-Mar-2003 : Added isEmpty(XYDataset) method (DG);
70  * 05-Mar-2003 : Added a method for creating a CategoryDataset from a
71  * KeyedValues instance (DG);
72  * 15-May-2003 : Renamed isEmpty --> isEmptyOrNull (DG);
73  * 25-Jun-2003 : Added limitPieDataset methods (RA);
74  * 26-Jun-2003 : Modified getDomainExtent() method to accept null datasets (DG);
75  * 27-Jul-2003 : Added getStackedRangeExtent(TableXYDataset data) (RA);
76  * 18-Aug-2003 : getStackedRangeExtent(TableXYDataset data) now handles null
77  * values (RA);
78  * 02-Sep-2003 : Added method to check for null or empty PieDataset (DG);
79  * 18-Sep-2003 : Fix for bug 803660 (getMaximumRangeValue for
80  * CategoryDataset) (DG);
81  * 20-Oct-2003 : Added getCumulativeRangeExtent() method (DG);
82  * 09-Jan-2003 : Added argument checking code to the createCategoryDataset()
83  * method (DG);
84  * 23-Mar-2004 : Fixed bug in getMaximumStackedRangeValue() method (DG);
85  * 31-Mar-2004 : Exposed the extent iteration algorithms to use one of them and
86  * applied noninstantiation pattern (AS);
87  * 11-May-2004 : Renamed getPieDatasetTotal --> calculatePieDatasetTotal (DG);
88  * 15-Jul-2004 : Switched getX() with getXValue() and getY() with getYValue();
89  * 24-Aug-2004 : Added argument checks to createCategoryDataset() method (DG);
90  * 04-Oct-2004 : Renamed ArrayUtils --> ArrayUtilities (DG);
91  * 06-Oct-2004 : Renamed findDomainExtent() --> findDomainBounds(),
92  * findRangeExtent() --> findRangeBounds() (DG);
93  * 07-Jan-2005 : Renamed findStackedRangeExtent() --> findStackedRangeBounds(),
94  * findCumulativeRangeExtent() --> findCumulativeRangeBounds(),
95  * iterateXYRangeExtent() --> iterateXYRangeBounds(),
96  * removed deprecated methods (DG);
97  * 03-Feb-2005 : The findStackedRangeBounds() methods now return null for
98  * empty datasets (DG);
99  * 03-Mar-2005 : Moved createNumberArray() and createNumberArray2D() methods
100  * from DatasetUtilities --> DataUtilities (DG);
101  * 22-Sep-2005 : Added new findStackedRangeBounds() method that takes base
102  * argument (DG);
103  *
104  */
105
106 package org.jfree.data.general;
107
108 import java.util.ArrayList ;
109 import java.util.Iterator ;
110 import java.util.List ;
111
112 import org.jfree.data.DomainInfo;
113 import org.jfree.data.KeyToGroupMap;
114 import org.jfree.data.KeyedValues;
115 import org.jfree.data.Range;
116 import org.jfree.data.RangeInfo;
117 import org.jfree.data.category.CategoryDataset;
118 import org.jfree.data.category.DefaultCategoryDataset;
119 import org.jfree.data.category.IntervalCategoryDataset;
120 import org.jfree.data.function.Function2D;
121 import org.jfree.data.xy.OHLCDataset;
122 import org.jfree.data.xy.IntervalXYDataset;
123 import org.jfree.data.xy.TableXYDataset;
124 import org.jfree.data.xy.XYDataset;
125 import org.jfree.data.xy.XYSeries;
126 import org.jfree.data.xy.XYSeriesCollection;
127 import org.jfree.util.ArrayUtilities;
128
129 /**
130  * A collection of useful static methods relating to datasets.
131  */
132 public final class DatasetUtilities {
133     
134     /**
135      * Private constructor for non-instanceability.
136      */
137     private DatasetUtilities() {
138         // now try to instantiate this ;-)
139 }
140
141     /**
142      * Calculates the total of all the values in a {@link PieDataset}. If
143      * the dataset contains negative or <code>null</code> values, they are
144      * ignored.
145      *
146      * @param dataset the dataset (<code>null</code> not permitted).
147      *
148      * @return The total.
149      */
150     public static double calculatePieDatasetTotal(PieDataset dataset) {
151         if (dataset == null) {
152             throw new IllegalArgumentException ("Null 'dataset' argument.");
153         }
154         List keys = dataset.getKeys();
155         double totalValue = 0;
156         Iterator iterator = keys.iterator();
157         while (iterator.hasNext()) {
158             Comparable current = (Comparable ) iterator.next();
159             if (current != null) {
160                 Number value = dataset.getValue(current);
161                 double v = 0.0;
162                 if (value != null) {
163                     v = value.doubleValue();
164                 }
165                 if (v > 0) {
166                     totalValue = totalValue + v;
167                 }
168             }
169         }
170         return totalValue;
171     }
172
173     /**
174      * Creates a pie dataset from a table dataset by taking all the values
175      * for a single row.
176      *
177      * @param dataset the dataset (<code>null</code> not permitted).
178      * @param rowKey the row key.
179      *
180      * @return A pie dataset.
181      */
182     public static PieDataset createPieDatasetForRow(CategoryDataset dataset,
183                                                     Comparable rowKey) {
184         int row = dataset.getRowIndex(rowKey);
185         return createPieDatasetForRow(dataset, row);
186     }
187
188     /**
189      * Creates a pie dataset from a table dataset by taking all the values
190      * for a single row.
191      *
192      * @param dataset the dataset (<code>null</code> not permitted).
193      * @param row the row (zero-based index).
194      *
195      * @return A pie dataset.
196      */
197     public static PieDataset createPieDatasetForRow(CategoryDataset dataset,
198                                                     int row) {
199         DefaultPieDataset result = new DefaultPieDataset();
200         int columnCount = dataset.getColumnCount();
201         for (int current = 0; current < columnCount; current++) {
202             Comparable columnKey = dataset.getColumnKey(current);
203             result.setValue(columnKey, dataset.getValue(row, current));
204         }
205         return result;
206     }
207
208     /**
209      * Creates a pie dataset from a table dataset by taking all the values
210      * for a single column.
211      *
212      * @param dataset the dataset (<code>null</code> not permitted).
213      * @param columnKey the column key.
214      *
215      * @return A pie dataset.
216      */
217     public static PieDataset createPieDatasetForColumn(CategoryDataset dataset,
218                                                        Comparable columnKey) {
219         int column = dataset.getColumnIndex(columnKey);
220         return createPieDatasetForColumn(dataset, column);
221     }
222
223     /**
224      * Creates a pie dataset from a {@link CategoryDataset} by taking all the
225      * values for a single column.
226      *
227      * @param dataset the dataset (<code>null</code> not permitted).
228      * @param column the column (zero-based index).
229      *
230      * @return A pie dataset.
231      */
232     public static PieDataset createPieDatasetForColumn(CategoryDataset dataset,
233                                                        int column) {
234         DefaultPieDataset result = new DefaultPieDataset();
235         int rowCount = dataset.getRowCount();
236         for (int i = 0; i < rowCount; i++) {
237             Comparable rowKey = dataset.getRowKey(i);
238             result.setValue(rowKey, dataset.getValue(i, column));
239         }
240         return result;
241     }
242
243     /**
244      * Creates a new pie dataset based on the supplied dataset, but modified
245      * by aggregating all the low value items (those whose value is lower
246      * than the <code>percentThreshold</code>) into a single item with the
247      * key "Other".
248      *
249      * @param source the source dataset (<code>null</code> not permitted).
250      * @param key a new key for the aggregated items (<code>null</code> not
251      * permitted).
252      * @param minimumPercent the percent threshold.
253      *
254      * @return The pie dataset with (possibly) aggregated items.
255      */
256     public static PieDataset createConsolidatedPieDataset(PieDataset source,
257                                                           Comparable key,
258                                                           double minimumPercent)
259     {
260         return DatasetUtilities.createConsolidatedPieDataset(
261             source, key, minimumPercent, 2
262         );
263     }
264
265     /**
266      * Creates a new pie dataset based on the supplied dataset, but modified
267      * by aggregating all the low value items (those whose value is lower
268      * than the <code>percentThreshold</code>) into a single item. The
269      * aggregated items are assigned the specified key. Aggregation only
270      * occurs if there are at least <code>minItems</code> items to aggregate.
271      *
272      * @param source the source dataset (<code>null</code> not permitted).
273      * @param key the key to represent the aggregated items.
274      * @param minimumPercent the percent threshold (ten percent is 0.10).
275      * @param minItems only aggregate low values if there are at least this
276      * many.
277      *
278      * @return The pie dataset with (possibly) aggregated items.
279      */
280     public static PieDataset createConsolidatedPieDataset(PieDataset source,
281                                                           Comparable key,
282                                                           double minimumPercent,
283                                                           int minItems) {
284         
285         DefaultPieDataset result = new DefaultPieDataset();
286         double total = DatasetUtilities.calculatePieDatasetTotal(source);
287
288         // Iterate and find all keys below threshold percentThreshold
289 List keys = source.getKeys();
290         ArrayList otherKeys = new ArrayList ();
291         Iterator iterator = keys.iterator();
292         while (iterator.hasNext()) {
293             Comparable currentKey = (Comparable ) iterator.next();
294             Number dataValue = source.getValue(currentKey);
295             if (dataValue != null) {
296                 double value = dataValue.doubleValue();
297                 if (value / total < minimumPercent) {
298                     otherKeys.add(currentKey);
299                 }
300             }
301         }
302
303         // Create new dataset with keys above threshold percentThreshold
304 iterator = keys.iterator();
305         double otherValue = 0;
306         while (iterator.hasNext()) {
307             Comparable currentKey = (Comparable ) iterator.next();
308             Number dataValue = source.getValue(currentKey);
309             if (dataValue != null) {
310                 if (otherKeys.contains(currentKey)
311                     && otherKeys.size() >= minItems) {
312                     // Do not add key to dataset
313 otherValue += dataValue.doubleValue();
314                 }
315                 else {
316                     // Add key to dataset
317 result.setValue(currentKey, dataValue);
318                 }
319             }
320         }
321         // Add other category if applicable
322 if (otherKeys.size() >= minItems) {
323             result.setValue(key, otherValue);
324         }
325         return result;
326     }
327
328     /**
329      * Creates a {@link CategoryDataset} that contains a copy of the data in an
330      * array (instances of <code>Double</code> are created to represent the
331      * data items).
332      * <p>
333      * Row and column keys are created by appending 0, 1, 2, ... to the
334      * supplied prefixes.
335      *
336      * @param rowKeyPrefix the row key prefix.
337      * @param columnKeyPrefix the column key prefix.
338      * @param data the data.
339      *
340      * @return The dataset.
341      */
342     public static CategoryDataset createCategoryDataset(String rowKeyPrefix,
343                                                         String columnKeyPrefix,
344                                                         double[][] data) {
345
346         DefaultCategoryDataset result = new DefaultCategoryDataset();
347         for (int r = 0; r < data.length; r++) {
348             String rowKey = rowKeyPrefix + (r + 1);
349             for (int c = 0; c < data[r].length; c++) {
350                 String columnKey = columnKeyPrefix + (c + 1);
351                 result.addValue(new Double (data[r][c]), rowKey, columnKey);
352             }
353         }
354         return result;
355
356     }
357
358     /**
359      * Creates a {@link CategoryDataset} that contains a copy of the data in
360      * an array.
361      * <p>
362      * Row and column keys are created by appending 0, 1, 2, ... to the
363      * supplied prefixes.
364      *
365      * @param rowKeyPrefix the row key prefix.
366      * @param columnKeyPrefix the column key prefix.
367      * @param data the data.
368      *
369      * @return The dataset.
370      */
371     public static CategoryDataset createCategoryDataset(String rowKeyPrefix,
372                                                         String columnKeyPrefix,
373                                                         Number [][] data) {
374
375         DefaultCategoryDataset result = new DefaultCategoryDataset();
376         for (int r = 0; r < data.length; r++) {
377             String rowKey = rowKeyPrefix + (r + 1);
378             for (int c = 0; c < data[r].length; c++) {
379                 String columnKey = columnKeyPrefix + (c + 1);
380                 result.addValue(data[r][c], rowKey, columnKey);
381             }
382         }
383         return result;
384
385     }
386
387     /**
388      * Creates a {@link CategoryDataset} that contains a copy of the data in
389      * an array (instances of <code>Double</code> are created to represent the
390      * data items).
391      * <p>
392      * Row and column keys are taken from the supplied arrays.
393      *
394      * @param rowKeys the row keys (<code>null</code> not permitted).
395      * @param columnKeys the column keys (<code>null</code> not permitted).
396      * @param data the data.
397      *
398      * @return The dataset.
399      */
400     public static CategoryDataset createCategoryDataset(Comparable [] rowKeys,
401                                                         Comparable [] columnKeys,
402                                                         double[][] data) {
403
404         // check arguments...
405 if (rowKeys == null) {
406             throw new IllegalArgumentException ("Null 'rowKeys' argument.");
407         }
408         if (columnKeys == null) {
409             throw new IllegalArgumentException ("Null 'columnKeys' argument.");
410         }
411         if (ArrayUtilities.hasDuplicateItems(rowKeys)) {
412             throw new IllegalArgumentException ("Duplicate items in 'rowKeys'.");
413         }
414         if (ArrayUtilities.hasDuplicateItems(columnKeys)) {
415             throw new IllegalArgumentException (
416                 "Duplicate items in 'columnKeys'."
417             );
418         }
419         if (rowKeys.length != data.length) {
420             throw new IllegalArgumentException (
421                 "The number of row keys does not match the number of rows in "
422                 + "the data array."
423             );
424         }
425         int columnCount = 0;
426         for (int r = 0; r < data.length; r++) {
427             columnCount = Math.max(columnCount, data[r].length);
428         }
429         if (columnKeys.length != columnCount) {
430             throw new IllegalArgumentException (
431                 "The number of column keys does not match the number of "
432                 + "columns in the data array."
433             );
434         }
435         
436         // now do the work...
437 DefaultCategoryDataset result = new DefaultCategoryDataset();
438         for (int r = 0; r < data.length; r++) {
439             Comparable rowKey = rowKeys[r];
440             for (int c = 0; c < data[r].length; c++) {
441                 Comparable columnKey = columnKeys[c];
442                 result.addValue(new Double (data[r][c]), rowKey, columnKey);
443             }
444         }
445         return result;
446
447     }
448
449     /**
450      * Creates a {@link CategoryDataset} by copying the data from the supplied
451      * {@link KeyedValues} instance.
452      *
453      * @param rowKey the row key (<code>null</code> not permitted).
454      * @param rowData the row data (<code>null</code> not permitted).
455      *
456      * @return A dataset.
457      */
458     public static CategoryDataset createCategoryDataset(Comparable rowKey,
459                                                         KeyedValues rowData) {
460
461         if (rowKey == null) {
462             throw new IllegalArgumentException ("Null 'rowKey' argument.");
463         }
464         if (rowData == null) {
465             throw new IllegalArgumentException ("Null 'rowData' argument.");
466         }
467         DefaultCategoryDataset result = new DefaultCategoryDataset();
468         for (int i = 0; i < rowData.getItemCount(); i++) {
469             result.addValue(rowData.getValue(i), rowKey, rowData.getKey(i));
470         }
471         return result;
472
473     }
474
475     /**
476      * Creates an {@link XYDataset} by sampling the specified function over a
477      * fixed range.
478      *
479      * @param f the function (<code>null</code> not permitted).
480      * @param start the start value for the range.
481      * @param end the end value for the range.
482      * @param samples the number of sample points (must be > 1).
483      * @param seriesKey the key to give the resulting series
484      * (<code>null</code> not permitted).
485      *
486      * @return A dataset.
487      */
488     public static XYDataset sampleFunction2D(Function2D f,
489                                              double start,
490                                              double end,
491                                              int samples,
492                                              Comparable seriesKey) {
493
494         if (f == null) {
495             throw new IllegalArgumentException ("Null 'f' argument.");
496         }
497         if (seriesKey == null) {
498             throw new IllegalArgumentException ("Null 'seriesKey' argument.");
499         }
500         if (start >= end) {
501             throw new IllegalArgumentException ("Requires 'start' < 'end'.");
502         }
503         if (samples < 2) {
504             throw new IllegalArgumentException ("Requires 'samples' > 1");
505         }
506
507         XYSeries series = new XYSeries(seriesKey);
508         double step = (end - start) / samples;
509         for (int i = 0; i <= samples; i++) {
510             double x = start + (step * i);
511             series.add(x, f.getValue(x));
512         }
513         XYSeriesCollection collection = new XYSeriesCollection(series);
514         return collection;
515
516     }
517
518     /**
519      * Returns <code>true</code> if the dataset is empty (or <code>null</code>),
520      * and <code>false</code> otherwise.
521      *
522      * @param dataset the dataset (<code>null</code> permitted).
523      *
524      * @return A boolean.
525      */
526     public static boolean isEmptyOrNull(PieDataset dataset) {
527
528         if (dataset == null) {
529             return true;
530         }
531
532         int itemCount = dataset.getItemCount();
533         if (itemCount == 0) {
534             return true;
535         }
536
537         for (int item = 0; item < itemCount; item++) {
538             Number y = dataset.getValue(item);
539             if (y != null) {
540                 double yy = y.doubleValue();
541                 if (yy > 0.0) {
542                     return false;
543                 }
544             }
545         }
546
547         return true;
548
549     }
550
551     /**
552      * Returns <code>true</code> if the dataset is empty (or <code>null</code>),
553      * and <code>false</code> otherwise.
554      *
555      * @param dataset the dataset (<code>null</code> permitted).
556      *
557      * @return A boolean.
558      */
559     public static boolean isEmptyOrNull(CategoryDataset dataset) {
560
561         if (dataset == null) {
562             return true;
563         }
564
565         int rowCount = dataset.getRowCount();
566         int columnCount = dataset.getColumnCount();
567         if (rowCount == 0 || columnCount == 0) {
568             return true;
569         }
570
571         for (int r = 0; r < rowCount; r++) {
572             for (int c = 0; c < columnCount; c++) {
573                 if (dataset.getValue(r, c) != null) {
574                     return false;
575                 }
576
577             }
578         }
579
580         return true;
581
582     }
583
584     /**
585      * Returns <code>true</code> if the dataset is empty (or <code>null</code>),
586      * and <code>false</code> otherwise.
587      *
588      * @param dataset the dataset (<code>null</code> permitted).
589      *
590      * @return A boolean.
591      */
592     public static boolean isEmptyOrNull(XYDataset dataset) {
593
594         boolean result = true;
595
596         if (dataset != null) {
597             for (int s = 0; s < dataset.getSeriesCount(); s++) {
598                 if (dataset.getItemCount(s) > 0) {
599                     result = false;
600                     continue;
601                 }
602             }
603         }
604
605         return result;
606
607     }
608
609     /**
610      * Returns the range of values in the domain (x-values) of a dataset.
611      *
612      * @param dataset the dataset (<code>null</code> not permitted).
613      *
614      * @return The range of values (possibly <code>null</code>).
615      */
616     public static Range findDomainBounds(XYDataset dataset) {
617         return findDomainBounds(dataset, true);
618     }
619
620     /**
621      * Returns the range of values in the domain (x-values) of a dataset.
622      *
623      * @param dataset the dataset (<code>null</code> not permitted).
624      * @param includeInterval determines whether or not the x-interval is taken
625      * into account (only applies if the dataset is an
626      * {@link IntervalXYDataset}).
627      *
628      * @return The range of values (possibly <code>null</code>).
629      */
630     public static Range findDomainBounds(XYDataset dataset,
631                                          boolean includeInterval) {
632
633         if (dataset == null) {
634             throw new IllegalArgumentException ("Null 'dataset' argument.");
635         }
636
637         Range result = null;
638         // if the dataset implements DomainInfo, life is easier
639 if (dataset instanceof DomainInfo) {
640             DomainInfo info = (DomainInfo) dataset;
641             result = info.getDomainBounds(includeInterval);
642         }
643         else {
644             result = iterateDomainBounds(dataset, includeInterval);
645         }
646         return result;
647         
648     }
649
650     /**
651      * Iterates over the items in an {@link XYDataset} to find
652      * the range of x-values.
653      *
654      * @param dataset the dataset (<code>null</code> not permitted).
655      *
656      * @return The range (possibly <code>null</code>).
657      */
658     public static Range iterateDomainBounds(XYDataset dataset) {
659         return iterateDomainBounds(dataset, true);
660     }
661
662     /**
663      * Iterates over the items in an {@link XYDataset} to find
664      * the range of x-values.
665      *
666      * @param dataset the dataset (<code>null</code> not permitted).
667      * @param includeInterval a flag that determines, for an IntervalXYDataset,
668      * whether the x-interval or just the x-value is
669      * used to determine the overall range.
670      *
671      * @return The range (possibly <code>null</code>).
672      */
673     public static Range iterateDomainBounds(XYDataset dataset,
674                                             boolean includeInterval) {
675         if (dataset == null) {
676             throw new IllegalArgumentException ("Null 'dataset' argument.");
677         }
678         double minimum = Double.POSITIVE_INFINITY;
679         double maximum = Double.NEGATIVE_INFINITY;
680         int seriesCount = dataset.getSeriesCount();
681         double lvalue;
682         double uvalue;
683         if (includeInterval && dataset instanceof IntervalXYDataset) {
684             IntervalXYDataset intervalXYData = (IntervalXYDataset) dataset;
685             for (int series = 0; series < seriesCount; series++) {
686                 int itemCount = dataset.getItemCount(series);
687                 for (int item = 0; item < itemCount; item++) {
688                     lvalue = intervalXYData.getStartXValue(series, item);
689                     uvalue = intervalXYData.getEndXValue(series, item);
690                     minimum = Math.min(minimum, lvalue);
691                     maximum = Math.max(maximum, uvalue);
692                 }
693             }
694         }
695         else {
696             for (int series = 0; series < seriesCount; series++) {
697                 int itemCount = dataset.getItemCount(series);
698                 for (int item = 0; item < itemCount; item++) {
699                     lvalue = dataset.getXValue(series, item);
700                     uvalue = lvalue;
701                     minimum = Math.min(minimum, lvalue);
702                     maximum = Math.max(maximum, uvalue);
703                 }
704             }
705         }
706         if (minimum > maximum) {
707             return null;
708         }
709         else {
710             return new Range(minimum, maximum);
711         }
712     }
713     
714     /**
715      * Returns the range of values in the range for the dataset. This method
716      * is the partner for the getDomainExtent method.
717      *
718      * @param dataset the dataset (<code>null</code> not permitted).
719      *
720      * @return The range (possibly <code>null</code>).
721      */
722     public static Range findRangeBounds(CategoryDataset dataset) {
723         return findRangeBounds(dataset, true);
724     }
725     
726     /**
727      * Returns the range of values in the range for the dataset. This method
728      * is the partner for the getDomainExtent method.
729      *
730      * @param dataset the dataset (<code>null</code> not permitted).
731      * @param includeInterval a flag that determines whether or not the
732      * y-interval is taken into account.
733      *
734      * @return The range (possibly <code>null</code>).
735      */
736     public static Range findRangeBounds(CategoryDataset dataset,
737                                         boolean includeInterval) {
738         if (dataset == null) {
739             throw new IllegalArgumentException ("Null 'dataset' argument.");
740         }
741         Range result = null;
742         if (dataset instanceof RangeInfo) {
743             RangeInfo info = (RangeInfo) dataset;
744             result = info.getRangeBounds(includeInterval);
745         }
746         else {
747             result = iterateCategoryRangeBounds(dataset, includeInterval);
748         }
749         return result;
750     }
751     
752     /**
753      * Returns the range of values in the range for the dataset. This method
754      * is the partner for the {@link #findDomainBounds(XYDataset)} method.
755      *
756      * @param dataset the dataset (<code>null</code> not permitted).
757      *
758      * @return The range (possibly <code>null</code>).
759      */
760     public static Range findRangeBounds(XYDataset dataset) {
761         return findRangeBounds(dataset, true);
762     }
763     
764     /**
765      * Returns the range of values in the range for the dataset. This method
766      * is the partner for the {@link #findDomainBounds(XYDataset)} method.
767      *
768      * @param dataset the dataset (<code>null</code> not permitted).
769      * @param includeInterval a flag that determines whether or not the
770      * y-interval is taken into account.
771      *
772      *
773      * @return The range (possibly <code>null</code>).
774      */
775     public static Range findRangeBounds(XYDataset dataset,
776                                         boolean includeInterval) {
777         if (dataset == null) {
778             throw new IllegalArgumentException ("Null 'dataset' argument.");
779         }
780         Range result = null;
781         if (dataset instanceof RangeInfo) {
782             RangeInfo info = (RangeInfo) dataset;
783             result = info.getRangeBounds(includeInterval);
784         }
785         else {
786             result = iterateXYRangeBounds(dataset);
787         }
788         return result;
789     }
790     
791     /**
792      * Iterates over the data item of the category dataset to find
793      * the range bounds.
794      *
795      * @param dataset the dataset (<code>null</code> not permitted).
796      * @param includeInterval a flag that determines whether or not the
797      * y-interval is taken into account.
798      *
799      * @return The range (possibly <code>null</code>).
800      */
801     public static Range iterateCategoryRangeBounds(CategoryDataset dataset,
802             boolean includeInterval) {
803         double minimum = Double.POSITIVE_INFINITY;
804         double maximum = Double.NEGATIVE_INFINITY;
805         boolean interval = includeInterval
806                            && dataset instanceof IntervalCategoryDataset;
807         int rowCount = dataset.getRowCount();
808         int columnCount = dataset.getColumnCount();
809         for (int row = 0; row < rowCount; row++) {
810             for (int column = 0; column < columnCount; column++) {
811                 Number lvalue;
812                 Number uvalue;
813                 if (interval) {
814                     IntervalCategoryDataset icd
815                         = (IntervalCategoryDataset) dataset;
816                     lvalue = icd.getStartValue(row, column);
817                     uvalue = icd.getEndValue(row, column);
818                 }
819                 else {
820                     lvalue = dataset.getValue(row, column);
821                     uvalue = lvalue;
822                 }
823                 if (lvalue != null) {
824                     minimum = Math.min(minimum, lvalue.doubleValue());
825                 }
826                 if (uvalue != null) {
827                     maximum = Math.max(maximum, uvalue.doubleValue());
828                 }
829             }
830         }
831         if (minimum == Double.POSITIVE_INFINITY) {
832             return null;
833         }
834         else {
835             return new Range(minimum, maximum);
836         }
837     }
838     
839     /**
840      * Iterates over the data item of the xy dataset to find
841      * the range bounds.
842      *
843      * @param dataset the dataset (<code>null</code> not permitted).
844      *
845      * @return The range (possibly <code>null</code>).
846      */
847     public static Range iterateXYRangeBounds(XYDataset dataset) {
848         double minimum = Double.POSITIVE_INFINITY;
849         double maximum = Double.NEGATIVE_INFINITY;
850         int seriesCount = dataset.getSeriesCount();
851         for (int series = 0; series < seriesCount; series++) {
852             int itemCount = dataset.getItemCount(series);
853             for (int item = 0; item < itemCount; item++) {
854                 double lvalue;
855                 double uvalue;
856                 if (dataset instanceof IntervalXYDataset) {
857                     IntervalXYDataset intervalXYData
858                         = (IntervalXYDataset) dataset;
859                     lvalue = intervalXYData.getStartYValue(series, item);
860                     uvalue = intervalXYData.getEndYValue(series, item);
861                 }
862                 else if (dataset instanceof OHLCDataset) {
863                     OHLCDataset highLowData = (OHLCDataset) dataset;
864                     lvalue = highLowData.getLowValue(series, item);
865                     uvalue = highLowData.getHighValue(series, item);
866                 }
867                 else {
868                     lvalue = dataset.getYValue(series, item);
869                     uvalue = lvalue;
870                 }
871                 if (!Double.isNaN(lvalue)) {
872                     minimum = Math.min(minimum, lvalue);
873                 }
874                 if (!Double.isNaN(uvalue)) {
875                     maximum = Math.max(maximum, uvalue);
876                 }
877             }
878         }
879         if (minimum == Double.POSITIVE_INFINITY) {
880             return null;
881         }
882         else {
883             return new Range(minimum, maximum);
884         }
885     }
886
887     /**
888      * Finds the minimum domain (or X) value for the specified dataset. This
889      * is easy if the dataset implements the {@link DomainInfo} interface (a
890      * good idea if there is an efficient way to determine the minimum value).
891      * Otherwise, it involves iterating over the entire data-set.
892      * <p>
893      * Returns <code>null</code> if all the data values in the dataset are
894      * <code>null</code>.
895      *
896      * @param dataset the dataset (<code>null</code> not permitted).
897      *
898      * @return The minimum value (possibly <code>null</code>).
899      */
900     public static Number findMinimumDomainValue(XYDataset dataset) {
901         if (dataset == null) {
902             throw new IllegalArgumentException ("Null 'dataset' argument.");
903         }
904         Number result = null;
905         // if the dataset implements DomainInfo, life is easy
906 if (dataset instanceof DomainInfo) {
907             DomainInfo info = (DomainInfo) dataset;
908             return new Double (info.getDomainLowerBound(true));
909         }
910         else {
911             double minimum = Double.POSITIVE_INFINITY;
912             int seriesCount = dataset.getSeriesCount();
913             for (int series = 0; series < seriesCount; series++) {
914                 int itemCount = dataset.getItemCount(series);
915                 for (int item = 0; item < itemCount; item++) {
916
917                     double value;
918                     if (dataset instanceof IntervalXYDataset) {
919                         IntervalXYDataset intervalXYData
920                             = (IntervalXYDataset) dataset;
921                         value = intervalXYData.getStartXValue(series, item);
922                     }
923                     else {
924                         value = dataset.getXValue(series, item);
925                     }
926                     if (!Double.isNaN(value)) {
927                         minimum = Math.min(minimum, value);
928                     }
929
930                 }
931             }
932             if (minimum == Double.POSITIVE_INFINITY) {
933                 result = null;
934             }
935             else {
936                 result = new Double (minimum);
937             }
938         }
939
940         return result;
941     }
942     
943     /**
944      * Returns the maximum domain value for the specified dataset. This is
945      * easy if the dataset implements the {@link DomainInfo} interface (a good
946      * idea if there is an efficient way to determine the maximum value).
947      * Otherwise, it involves iterating over the entire data-set. Returns
948      * <code>null</code> if all the data values in the dataset are
949      * <code>null</code>.
950      *
951      * @param dataset the dataset (<code>null</code> not permitted).
952      *
953      * @return The maximum value (possibly <code>null</code>).
954      */
955     public static Number findMaximumDomainValue(XYDataset dataset) {
956         if (dataset == null) {
957             throw new IllegalArgumentException ("Null 'dataset' argument.");
958         }
959         Number result = null;
960         // if the dataset implements DomainInfo, life is easy
961 if (dataset instanceof DomainInfo) {
962             DomainInfo info = (DomainInfo) dataset;
963             return new Double (info.getDomainUpperBound(true));
964         }
965
966         // hasn't implemented DomainInfo, so iterate...
967 else {
968             double maximum = Double.NEGATIVE_INFINITY;
969             int seriesCount = dataset.getSeriesCount();
970             for (int series = 0; series < seriesCount; series++) {
971                 int itemCount = dataset.getItemCount(series);
972                 for (int item = 0; item < itemCount; item++) {
973
974                     double value;
975                     if (dataset instanceof IntervalXYDataset) {
976                         IntervalXYDataset intervalXYData
977                             = (IntervalXYDataset) dataset;
978                         value = intervalXYData.getEndXValue(series, item);
979                     }
980                     else {
981                         value = dataset.getXValue(series, item);
982                     }
983                     if (!Double.isNaN(value)) {
984                         maximum = Math.max(maximum, value);
985                     }
986                 }
987             }
988             if (maximum == Double.NEGATIVE_INFINITY) {
989                 result = null;
990             }
991             else {
992                 result = new Double (maximum);
993             }
994
995         }
996         
997         return result;
998     }
999
1000    /**
1001     * Returns the minimum range value for the specified dataset. This is
1002     * easy if the dataset implements the {@link RangeInfo} interface (a good
1003     * idea if there is an efficient way to determine the minimum value).
1004     * Otherwise, it involves iterating over the entire data-set. Returns
1005     * <code>null</code> if all the data values in the dataset are
1006     * <code>null</code>.
1007     *
1008     * @param dataset the dataset (<code>null</code> not permitted).
1009     *
1010     * @return The minimum value (possibly <code>null</code>).
1011     */
1012    public static Number findMinimumRangeValue(CategoryDataset dataset) {
1013
1014        // check parameters...
1015 if (dataset == null) {
1016            throw new IllegalArgumentException ("Null 'dataset' argument.");
1017        }
1018
1019        // work out the minimum value...
1020 if (dataset instanceof RangeInfo) {
1021            RangeInfo info = (RangeInfo) dataset;
1022            return new Double (info.getRangeLowerBound(true));
1023        }
1024
1025        // hasn't implemented RangeInfo, so we'll have to iterate...
1026 else {
1027            double minimum = Double.POSITIVE_INFINITY;
1028            int seriesCount = dataset.getRowCount();
1029            int itemCount = dataset.getColumnCount();
1030            for (int series = 0; series < seriesCount; series++) {
1031                for (int item = 0; item < itemCount; item++) {
1032                    Number value;
1033                    if (dataset instanceof IntervalCategoryDataset) {
1034                        IntervalCategoryDataset icd
1035                            = (IntervalCategoryDataset) dataset;
1036                        value = icd.getStartValue(series, item);
1037                    }
1038                    else {
1039                        value = dataset.getValue(series, item);
1040                    }
1041                    if (value != null) {
1042                        minimum = Math.min(minimum, value.doubleValue());
1043                    }
1044                }
1045            }
1046            if (minimum == Double.POSITIVE_INFINITY) {
1047                return null;
1048            }
1049            else {
1050                return new Double (minimum);
1051            }
1052
1053        }
1054
1055    }
1056
1057    /**
1058     * Returns the minimum range value for the specified dataset. This is
1059     * easy if the dataset implements the {@link RangeInfo} interface (a good
1060     * idea if there is an efficient way to determine the minimum value).
1061     * Otherwise, it involves iterating over the entire data-set. Returns
1062     * <code>null</code> if all the data values in the dataset are
1063     * <code>null</code>.
1064     *
1065     * @param dataset the dataset (<code>null</code> not permitted).
1066     *
1067     * @return The minimum value (possibly <code>null</code>).
1068     */
1069    public static Number findMinimumRangeValue(XYDataset dataset) {
1070
1071        if (dataset == null) {
1072            throw new IllegalArgumentException ("Null 'dataset' argument.");
1073        }
1074
1075        // work out the minimum value...
1076 if (dataset instanceof RangeInfo) {
1077            RangeInfo info = (RangeInfo) dataset;
1078            return new Double (info.getRangeLowerBound(true));
1079        }
1080
1081        // hasn't implemented RangeInfo, so we'll have to iterate...
1082 else {
1083            double minimum = Double.POSITIVE_INFINITY;
1084            int seriesCount = dataset.getSeriesCount();
1085            for (int series = 0; series < seriesCount; series++) {
1086                int itemCount = dataset.getItemCount(series);
1087                for (int item = 0; item < itemCount; item++) {
1088
1089                    double value;
1090                    if (dataset instanceof IntervalXYDataset) {
1091                        IntervalXYDataset intervalXYData
1092                            = (IntervalXYDataset) dataset;
1093                        value = intervalXYData.getStartYValue(series, item);
1094                    }
1095                    else if (dataset instanceof OHLCDataset) {
1096                        OHLCDataset highLowData = (OHLCDataset) dataset;
1097                        value = highLowData.getLowValue(series, item);
1098                    }
1099                    else {
1100                        value = dataset.getYValue(series, item);
1101                    }
1102                    if (!Double.isNaN(value)) {
1103                        minimum = Math.min(minimum, value);
1104                    }
1105
1106                }
1107            }
1108            if (minimum == Double.POSITIVE_INFINITY) {
1109                return null;
1110            }
1111            else {
1112                return new Double (minimum);
1113            }
1114
1115        }
1116
1117    }
1118
1119    /**
1120     * Returns the maximum range value for the specified dataset. This is easy
1121     * if the dataset implements the {@link RangeInfo} interface (a good idea
1122     * if there is an efficient way to determine the maximum value).
1123     * Otherwise, it involves iterating over the entire data-set. Returns
1124     * <code>null</code> if all the data values are <code>null</code>.
1125     *
1126     * @param dataset the dataset (<code>null</code> not permitted).
1127     *
1128     * @return The maximum value (possibly <code>null</code>).
1129     */
1130    public static Number findMaximumRangeValue(CategoryDataset dataset) {
1131
1132        if (dataset == null) {
1133            throw new IllegalArgumentException ("Null 'dataset' argument.");
1134        }
1135
1136        // work out the minimum value...
1137 if (dataset instanceof RangeInfo) {
1138            RangeInfo info = (RangeInfo) dataset;
1139            return new Double (info.getRangeUpperBound(true));
1140        }
1141
1142        // hasn't implemented RangeInfo, so we'll have to iterate...
1143 else {
1144
1145            double maximum = Double.NEGATIVE_INFINITY;
1146            int seriesCount = dataset.getRowCount();
1147            int itemCount = dataset.getColumnCount();
1148            for (int series = 0; series < seriesCount; series++) {
1149                for (int item = 0; item < itemCount; item++) {
1150                    Number value;
1151                    if (dataset instanceof IntervalCategoryDataset) {
1152                        IntervalCategoryDataset icd
1153                            = (IntervalCategoryDataset) dataset;
1154                        value = icd.getEndValue(series, item);
1155                    }
1156                    else {
1157                        value = dataset.getValue(series, item);
1158                    }
1159                    if (value != null) {
1160                        maximum = Math.max(maximum, value.doubleValue());
1161                    }
1162                }
1163            }
1164            if (maximum == Double.NEGATIVE_INFINITY) {
1165                return null;
1166            }
1167            else {
1168                return new Double (maximum);
1169            }
1170
1171        }
1172
1173    }
1174
1175    /**
1176     * Returns the maximum range value for the specified dataset. This is
1177     * easy if the dataset implements the {@link RangeInfo} interface (a good
1178     * idea if there is an efficient way to determine the maximum value).
1179     * Otherwise, it involves iterating over the entire data-set. Returns
1180     * <code>null</code> if all the data values are <code>null</code>.
1181     *
1182     * @param dataset the dataset (<code>null</code> not permitted).
1183     *
1184     * @return The maximum value (possibly <code>null</code>).
1185     */
1186    public static Number findMaximumRangeValue(XYDataset dataset) {
1187
1188        if (dataset == null) {
1189            throw new IllegalArgumentException ("Null 'dataset' argument.");
1190        }
1191
1192        // work out the minimum value...
1193 if (dataset instanceof RangeInfo) {
1194            RangeInfo info = (RangeInfo) dataset;
1195            return new Double (info.getRangeUpperBound(true));
1196        }
1197
1198        // hasn't implemented RangeInfo, so we'll have to iterate...
1199 else {
1200
1201            double maximum = Double.NEGATIVE_INFINITY;
1202            int seriesCount = dataset.getSeriesCount();
1203            for (int series = 0; series < seriesCount; series++) {
1204                int itemCount = dataset.getItemCount(series);
1205                for (int item = 0; item < itemCount; item++) {
1206                    double value;
1207                    if (dataset instanceof IntervalXYDataset) {
1208                        IntervalXYDataset intervalXYData
1209                            = (IntervalXYDataset) dataset;
1210                        value = intervalXYData.getEndYValue(series, item);
1211                    }
1212                    else if (dataset instanceof OHLCDataset) {
1213                        OHLCDataset highLowData = (OHLCDataset) dataset;
1214                        value = highLowData.getHighValue(series, item);
1215                    }
1216                    else {
1217                        value = dataset.getYValue(series, item);
1218                    }
1219                    if (!Double.isNaN(value)) {
1220                        maximum = Math.max(maximum, value);
1221                    }
1222                }
1223            }
1224            if (maximum == Double.NEGATIVE_INFINITY) {
1225                return null;
1226            }
1227            else {
1228                return new Double (maximum);
1229            }
1230
1231        }
1232
1233    }
1234
1235    /**
1236     * Returns the minimum and maximum values for the dataset's range
1237     * (y-values), assuming that the series in one category are stacked.
1238     *
1239     * @param dataset the dataset (<code>null</code> not permitted).
1240     *
1241     * @return The range (<code>null</code> if the dataset contains no values).
1242     */
1243    public static Range findStackedRangeBounds(CategoryDataset dataset) {
1244        return findStackedRangeBounds(dataset, 0.0);
1245    }
1246
1247    /**
1248     * Returns the minimum and maximum values for the dataset's range
1249     * (y-values), assuming that the series in one category are stacked.
1250     *
1251     * @param dataset the dataset (<code>null</code> not permitted).
1252     * @param base the base value for the bars.
1253     *
1254     * @return The range (<code>null</code> if the dataset contains no values).
1255     */
1256    public static Range findStackedRangeBounds(CategoryDataset dataset,
1257            double base) {
1258        if (dataset == null) {
1259            throw new IllegalArgumentException ("Null 'dataset' argument.");
1260        }
1261        Range result = null;
1262        double minimum = Double.POSITIVE_INFINITY;
1263        double maximum = Double.NEGATIVE_INFINITY;
1264        int categoryCount = dataset.getColumnCount();
1265        for (int item = 0; item < categoryCount; item++) {
1266            double positive = base;
1267            double negative = base;
1268            int seriesCount = dataset.getRowCount();
1269            for (int series = 0; series < seriesCount; series++) {
1270                Number number = dataset.getValue(series, item);
1271                if (number != null) {
1272                    double value = number.doubleValue();
1273                    if (value > 0.0) {
1274                        positive = positive + value;
1275                    }
1276                    if (value < 0.0) {
1277                        negative = negative + value;
1278                        // '+', remember value is negative
1279 }
1280                }
1281            }
1282            minimum = Math.min(minimum, negative);
1283            maximum = Math.max(maximum, positive);
1284        }
1285        if (minimum <= maximum) {
1286            result = new Range(minimum, maximum);
1287        }
1288        return result;
1289
1290    }
1291
1292    /**
1293     * Returns the minimum and maximum values for the dataset's range
1294     * (y-values), assuming that the series in one category are stacked.
1295     *
1296     * @param dataset the dataset.
1297     * @param map a structure that maps series to groups.
1298     *
1299     * @return The value range (<code>null</code> if the dataset contains no
1300     * values).
1301     */
1302    public static Range findStackedRangeBounds(CategoryDataset dataset,
1303                                               KeyToGroupMap map) {
1304    
1305        Range result = null;
1306        if (dataset != null) {
1307            
1308            // create an array holding the group indices...
1309 int[] groupIndex = new int[dataset.getRowCount()];
1310            for (int i = 0; i < dataset.getRowCount(); i++) {
1311                groupIndex[i] = map.getGroupIndex(
1312                    map.getGroup(dataset.getRowKey(i))
1313                );
1314            }
1315            
1316            // minimum and maximum for each group...
1317 int groupCount = map.getGroupCount();
1318            double[] minimum = new double[groupCount];
1319            double[] maximum = new double[groupCount];
1320            
1321            int categoryCount = dataset.getColumnCount();
1322            for (int item = 0; item < categoryCount; item++) {
1323                double[] positive = new double[groupCount];
1324                double[] negative = new double[groupCount];
1325                int seriesCount = dataset.getRowCount();
1326                for (int series = 0; series < seriesCount; series++) {
1327                    Number number = dataset.getValue(series, item);
1328                    if (number != null) {
1329                        double value = number.doubleValue();
1330                        if (value > 0.0) {
1331                            positive[groupIndex[series]]
1332                                 = positive[groupIndex[series]] + value;
1333                        }
1334                        if (value < 0.0) {
1335                            negative[groupIndex[series]]
1336                                 = negative[groupIndex[series]] + value;
1337                                 // '+', remember value is negative
1338 }
1339                    }
1340                }
1341                for (int g = 0; g < groupCount; g++) {
1342                    minimum[g] = Math.min(minimum[g], negative[g]);
1343                    maximum[g] = Math.max(maximum[g], positive[g]);
1344                }
1345            }
1346            for (int j = 0; j < groupCount; j++) {
1347                result = Range.combine(
1348                    result, new Range(minimum[j], maximum[j])
1349                );
1350            }
1351        }
1352        return result;
1353
1354    }
1355
1356    /**
1357     * Returns the minimum value in the dataset range, assuming that values in
1358     * each category are "stacked".
1359     *
1360     * @param dataset the dataset.
1361     *
1362     * @return The minimum value.
1363     */
1364    public static Number findMinimumStackedRangeValue(CategoryDataset dataset) {
1365
1366        Number result = null;
1367        if (dataset != null) {
1368            double minimum = 0.0;
1369            int categoryCount = dataset.getRowCount();
1370            for (int item = 0; item < categoryCount; item++) {
1371                double total = 0.0;
1372
1373                int seriesCount = dataset.getColumnCount();
1374                for (int series = 0; series < seriesCount; series++) {
1375                    Number number = dataset.getValue(series, item);
1376                    if (number != null) {
1377                        double value = number.doubleValue();
1378                        if (value < 0.0) {
1379                            total = total + value;
1380                            // '+', remember value is negative
1381 }
1382                    }
1383                }
1384                minimum = Math.min(minimum, total);
1385
1386            }
1387            result = new Double (minimum);
1388        }
1389        return result;
1390
1391    }
1392
1393    /**
1394     * Returns the maximum value in the dataset range, assuming that values in
1395     * each category are "stacked".
1396     *
1397     * @param dataset the dataset (<code>null</code> permitted).
1398     *
1399     * @return The maximum value (possibly <code>null</code>).
1400     */
1401    public static Number findMaximumStackedRangeValue(CategoryDataset dataset) {
1402
1403        Number result = null;
1404
1405        if (dataset != null) {
1406            double maximum = 0.0;
1407            int categoryCount = dataset.getColumnCount();
1408            for (int item = 0; item < categoryCount; item++) {
1409                double total = 0.0;
1410                int seriesCount = dataset.getRowCount();
1411                for (int series = 0; series < seriesCount; series++) {
1412                    Number number = dataset.getValue(series, item);
1413                    if (number != null) {
1414                        double value = number.doubleValue();
1415                        if (value > 0.0) {
1416                            total = total + value;
1417                        }
1418                    }
1419                }
1420                maximum = Math.max(maximum, total);
1421            }
1422            result = new Double (maximum);
1423        }
1424
1425        return result;
1426
1427    }
1428
1429    /**
1430     * Returns the minimum and maximum values for the dataset's range,
1431     * assuming that the series are stacked.
1432     *
1433     * @param dataset the dataset (<code>null</code> not permitted).
1434     *
1435     * @return The range ([0.0, 0.0] if the dataset contains no values).
1436     */
1437    public static Range findStackedRangeBounds(TableXYDataset dataset) {
1438        return findStackedRangeBounds(dataset, 0.0);
1439    }
1440    
1441    /**
1442     * Returns the minimum and maximum values for the dataset's range,
1443     * assuming that the series are stacked, using the specified base value.
1444     *
1445     * @param dataset the dataset (<code>null</code> not permitted).
1446     * @param base the base value.
1447     *
1448     * @return The range (<code>null</code> if the dataset contains no values).
1449     */
1450    public static Range findStackedRangeBounds(TableXYDataset dataset,
1451                                               double base) {
1452        if (dataset == null) {
1453            throw new IllegalArgumentException ("Null 'dataset' argument.");
1454        }
1455        double minimum = base;
1456        double maximum = base;
1457        for (int itemNo = 0; itemNo < dataset.getItemCount(); itemNo++) {
1458            double positive = base;
1459            double negative = base;
1460            int seriesCount = dataset.getSeriesCount();
1461            for (int seriesNo = 0; seriesNo < seriesCount; seriesNo++) {
1462                double y = dataset.getYValue(seriesNo, itemNo);
1463                if (!Double.isNaN(y)) {
1464                    if (y > 0.0) {
1465                        positive += y;
1466                    }
1467                    else {
1468                        negative += y;
1469                    }
1470                }
1471            }
1472            if (positive > maximum) {
1473                maximum = positive;
1474            }
1475            if (negative < minimum) {
1476                minimum = negative;
1477            }
1478        }
1479        if (minimum <= maximum) {
1480            return new Range(minimum, maximum);
1481        }
1482        else {
1483            return null;
1484        }
1485    }
1486
1487    /**
1488     * Calculates the range of values for a dataset where each item is the
1489     * running total of the items for the current series.
1490     *
1491     * @param dataset the dataset (<code>null</code> not permitted).
1492     *
1493     * @return The range.
1494     */
1495    public static Range findCumulativeRangeBounds(CategoryDataset dataset) {
1496        
1497        if (dataset == null) {
1498            throw new IllegalArgumentException ("Null 'dataset' argument.");
1499        }
1500        
1501        boolean allItemsNull = true; // we'll set this to false if there is at
1502 // least one non-null data item...
1503 double minimum = 0.0;
1504        double maximum = 0.0;
1505        for (int row = 0; row < dataset.getRowCount(); row++) {
1506            double runningTotal = 0.0;
1507            for (int column = 0; column < dataset.getColumnCount() - 1;
1508                 column++) {
1509                Number n = dataset.getValue(row, column);
1510                if (n != null) {
1511                    allItemsNull = false;
1512                    double value = n.doubleValue();
1513                    runningTotal = runningTotal + value;
1514                    minimum = Math.min(minimum, runningTotal);
1515                    maximum = Math.max(maximum, runningTotal);
1516                }
1517            }
1518        }
1519        if (!allItemsNull) {
1520            return new Range(minimum, maximum);
1521        }
1522        else {
1523            return null;
1524        }
1525        
1526    }
1527
1528}
1529

A to Z: JavaDoc & Examples

---

Daily Java News & Articles

---

Open Source Projects

---

Open Source Codes

---

Free Computer Books

---

Remove Frame

---

Popular Tags