/* ======================================
 * JFreeChart : a free Java chart library
 * ======================================
 *
 * Project Info:  http://www.jfree.org/jfreechart/index.html
 * Project Lead:  David Gilbert (david.gilbert@object-refinery.com);
 *
 * (C) Copyright 2000-2003, by Object Refinery Limited and Contributors.
 *
 * This program is free software; you can redistribute it and/or modify it under the terms
 * of the GNU General Public License as published by the Free Software Foundation;
 * either version 2 of the License, or (at your option) any later version.
 *
 * This program 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 General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License along with this program;
 * if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston,
 * MA 02111-1307, USA.
 *
 * ----------------------
 * SymbolicYPlotDemo.java
 * ----------------------
 * (C) Copyright 2002, 2003, by Anthony Boulestreau and Contributors.
 *
 * Original Author:  Anthony Boulestreau;
 * Contributor(s):   David Gilbert (for Object Refinery Limited);
 *
 * Changes
 * -------
 * 29-Mar-2002 : Version 1 (AB);
 * 23-Apr-2002 : Updated to reflect revisions in combined plot classes (DG);
 * 25-Jun-2002 : Removed unnecessary imports (DG);
 * 11-Oct-2002 : Fixed errors reported by Checkstyle (DG);
 *
 */

package org.jfree.chart.demo;

import java.awt.Color;
import java.awt.GradientPaint;

import javax.swing.JFrame;

import org.jfree.chart.ChartFrame;
import org.jfree.chart.JFreeChart;
import org.jfree.chart.axis.NumberAxis;
import org.jfree.chart.axis.SymbolicAxis;
import org.jfree.chart.axis.ValueAxis;
import org.jfree.chart.labels.SymbolicXYToolTipGenerator;
import org.jfree.chart.plot.CombinedDomainXYPlot;
import org.jfree.chart.plot.CombinedRangeXYPlot;
import org.jfree.chart.plot.XYPlot;
import org.jfree.chart.renderer.StandardXYItemRenderer;
import org.jfree.chart.renderer.XYItemRenderer;
import org.jfree.data.CombinedDataset;
import org.jfree.data.SubSeriesDataset;
import org.jfree.data.XYDataset;
import org.jfree.data.YisSymbolic;
import org.jfree.ui.RefineryUtilities;

/**
 * A demonstration application for the symbolic axis plots.
 *
 * @author Anthony Boulestreau
 */
public class SymbolicYPlotDemo {

    /**
     * Displays an XYPlot with Y symbolic data.
     *
     * @param frameTitle  the frame title.
     * @param data  the data.
     * @param chartTitle  the chart title.
     * @param xAxisLabel  the x-axis label.
     * @param yAxisLabel  the y-axis label.
     */
    private static void displayYSymbolic(String frameTitle,
                                         XYDataset data, String chartTitle,
                                         String xAxisLabel, String yAxisLabel) {

        JFreeChart chart = createYSymbolicPlot(chartTitle, xAxisLabel, yAxisLabel, data, true);
        chart.setBackgroundPaint(new GradientPaint(0, 0, Color.white, 1000, 0, Color.green));

        JFrame frame = new ChartFrame(frameTitle, chart);
        frame.pack();
        RefineryUtilities.positionFrameRandomly(frame);
        frame.show();

    }

    /**
     * Create and display an overlaid chart.
     *
     * @param frameTitle  the frame title.
     * @param data1  dataset1.
     * @param data2  dataset2.
     */
    private static void displayYSymbolicOverlaid(String frameTitle,
                                                 XYDataset data1, XYDataset data2) {

        String title = "Animals Overlaid";
        String xAxisLabel = "Miles";
        String yAxisLabel = "Animal";

        // combine the y symbolic values of the two data sets...
        String[] combinedYSymbolicValues
            = SampleYSymbolicDataset.combineYSymbolicDataset((YisSymbolic) data1,
                                                             (YisSymbolic) data2);

        // make master dataset...
        CombinedDataset data = new CombinedDataset();
        data.add(data1);
        data.add(data2);

        // decompose data...
        XYDataset series0 = new SubSeriesDataset(data, 0);
        XYDataset series1 = new SubSeriesDataset(data, 1);
        XYDataset series2 = new SubSeriesDataset(data, 2);
        XYDataset series3 = new SubSeriesDataset(data, 3);
        XYDataset series4 = new SubSeriesDataset(data, 4);
        XYDataset series5 = new SubSeriesDataset(data, 5);
        XYDataset series6 = new SubSeriesDataset(data, 6);
        XYDataset series7 = new SubSeriesDataset(data, 7);

        // create main plot...
        ValueAxis valueAxis = new NumberAxis(xAxisLabel);
        SymbolicAxis symbolicAxis = new SymbolicAxis(yAxisLabel, combinedYSymbolicValues);
        XYItemRenderer renderer = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        XYPlot plot = new XYPlot(series0, valueAxis, symbolicAxis, renderer);

        plot.setSecondaryDataset(0, series1);
        XYItemRenderer renderer1 = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        plot.setSecondaryRenderer(0, renderer1);

        plot.setSecondaryDataset(1, series2);
        XYItemRenderer renderer2 = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        plot.setSecondaryRenderer(1, renderer2);
        
        plot.setSecondaryDataset(2, series3);
        XYItemRenderer renderer3 = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        plot.setSecondaryRenderer(2, renderer3);
        
        plot.setSecondaryDataset(3, series4);
        XYItemRenderer renderer4 = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        plot.setSecondaryRenderer(3, renderer4);
        
        plot.setSecondaryDataset(4, series5);
        XYItemRenderer renderer5 = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        plot.setSecondaryRenderer(4, renderer5);
        
        plot.setSecondaryDataset(5, series6);
        XYItemRenderer renderer6 = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        plot.setSecondaryRenderer(5, renderer6);
        
        plot.setSecondaryDataset(6, series7);
        XYItemRenderer renderer7 = new StandardXYItemRenderer(StandardXYItemRenderer.SHAPES, null);
        plot.setSecondaryRenderer(6, renderer7);

        // make the chart...
        JFreeChart chart = new JFreeChart(title, JFreeChart.DEFAULT_TITLE_FONT, plot, true);
        chart.setBackgroundPaint(new GradientPaint(0, 0, Color.white, 0, 1000, Color.blue));

        // and present it in a frame...
        JFrame frame = new ChartFrame(frameTitle, chart);
        frame.pack();
        RefineryUtilities.positionFrameRandomly(frame);
        frame.show();

    }

    /**
     * Create and display a multi XY plot with horizontal layout.
     *
     * @param frameTitle  the frame title.
     * @param data1  dataset1.
     * @param data2  dataset2.
     */
    private static void displayYSymbolicCombinedHorizontally(String frameTitle,
                                                             SampleYSymbolicDataset data1,
                                                             SampleYSymbolicDataset data2) {

        String title = "Animals Horizontally Combined";
        String xAxisLabel = "Miles";
        String yAxisLabel = null;

        // combine the y symbolic values of the two data sets
        String[] combinedYSymbolicValues
            = SampleYSymbolicDataset.combineYSymbolicDataset((YisSymbolic) data1,
                                                             (YisSymbolic) data2);

        // make master dataset...
        CombinedDataset data = new CombinedDataset();
        data.add(data1);
        data.add(data2);

        // decompose data...
        XYDataset series0 = new SubSeriesDataset(data, 0);
        XYDataset series1 = new SubSeriesDataset(data, 1);
        XYDataset series2 = new SubSeriesDataset(data, 2);
        XYDataset series3 = new SubSeriesDataset(data, 3);
        XYDataset series4 = new SubSeriesDataset(data, 4);
        XYDataset series5 = new SubSeriesDataset(data, 5);
        XYDataset series6 = new SubSeriesDataset(data, 6);
        XYDataset series7 = new SubSeriesDataset(data, 7);

        // create axes...
        ValueAxis valueAxis0 = new NumberAxis(xAxisLabel);
        ValueAxis valueAxis1 = new NumberAxis(xAxisLabel);
        ValueAxis valueAxis2 = new NumberAxis(xAxisLabel);
        ValueAxis valueAxis3 = new NumberAxis(xAxisLabel);
        ValueAxis valueAxis4 = new NumberAxis(xAxisLabel);