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/* ===================
 * Orson Charts - Demo
 * ===================
 * 
 * Copyright (c) 2013, 2014, Object Refinery Limited.
 * All rights reserved.
 *
 * http://www.object-refinery.com/orsoncharts/index.html
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *   - Redistributions of source code must retain the above copyright
 *     notice, this list of conditions and the following disclaimer.
 *   - Redistributions in binary form must reproduce the above copyright
 *     notice, this list of conditions and the following disclaimer in the
 *     documentation and/or other materials provided with the distribution.
 *   - Neither the name of the Object Refinery Limited nor the
 *     names of its contributors may be used to endorse or promote products
 *     derived from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 
 * ARE DISCLAIMED. IN NO EVENT SHALL OBJECT REFINERY LIMITED BE LIABLE FOR ANY
 * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 * 
 * Note that the above terms apply to the demo source only, and not the 
 * Orson Charts library.
 * 
 */

package com.orsoncharts.demo;

import java.awt.Color;
import com.orsoncharts.Chart3D;
import com.orsoncharts.Chart3DFactory;
import com.orsoncharts.axis.LabelOrientation;
import com.orsoncharts.axis.LogAxis3D;
import com.orsoncharts.data.xyz.XYZDataset;
import com.orsoncharts.data.xyz.XYZSeries;
import com.orsoncharts.data.xyz.XYZSeriesCollection;
import com.orsoncharts.graphics3d.Dimension3D;
import com.orsoncharts.graphics3d.ViewPoint3D;
import com.orsoncharts.plot.XYZPlot;
import com.orsoncharts.renderer.xyz.ScatterXYZRenderer;
import com.orsoncharts.style.ChartStyler;

/**
 * Scatter plot demo chart configuration.
 */
public class ScatterPlot3D2 {
  
    public static Chart3D createChart(XYZDataset dataset) {
        Chart3D chart = Chart3DFactory.createScatterChart("ScatterPlot3DDemo2", 
                null, dataset, "X", "Y", "Z");
        XYZPlot plot = (XYZPlot) chart.getPlot();
        ScatterXYZRenderer renderer = (ScatterXYZRenderer) plot.getRenderer();
        plot.setDimensions(new Dimension3D(10, 6, 10));
        renderer.setSize(0.1);
        renderer.setColors(new Color(255, 128, 128), new Color(128, 255, 128));
        LogAxis3D yAxis = new LogAxis3D("Y (log scale)");
        yAxis.setTickLabelOrientation(LabelOrientation.PERPENDICULAR);
        yAxis.receive(new ChartStyler(chart.getStyle()));
        plot.setYAxis(yAxis);
        chart.setViewPoint(ViewPoint3D.createAboveLeftViewPoint(40));
        return chart;
    }

    /**
     * Creates a sample dataset (hard-coded for the purpose of keeping the
     * demo self-contained - in practice you would normally read your data
     * from a file, database or other source).
     * 
     * @return A sample dataset.
     */
    public static XYZDataset createDataset() {
        XYZSeries s1 = new XYZSeries("S1");
        for (int i = 0; i < 1000; i++) {
            s1.add(Math.random() * 100, Math.pow(10, Math.random() * 5), 
                    Math.random() * 100);
        }
        XYZSeries s2 = new XYZSeries("S2");
        for (int i = 0; i < 1000; i++) {
            s2.add(Math.random() * 100, Math.random() * 100000, 
                    Math.random() * 100);
        }
        XYZSeriesCollection dataset = new XYZSeriesCollection();
        dataset.add(s1);
        dataset.add(s2);
        return dataset;
    }
       
}