org.matsim.counts.algorithms.graphs.BiasNormalizedErrorGraph.java Source code

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Here is the source code for org.matsim.counts.algorithms.graphs.BiasNormalizedErrorGraph.java

Source

/* *********************************************************************** *
 * project: org.matsim.*
 * BiasErrorGraph.java
 *                                                                         *
 * *********************************************************************** *
 *                                                                         *
 * copyright       : (C) 2007 by the members listed in the COPYING,        *
 *                   LICENSE and WARRANTY file.                            *
 * email           : info at matsim dot org                                *
 *                                                                         *
 * *********************************************************************** *
 *                                                                         *
 *   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.                                   *
 *   See also COPYING, LICENSE and WARRANTY file                           *
 *                                                                         *
 * *********************************************************************** */

package org.matsim.counts.algorithms.graphs;

import java.awt.Font;
import java.util.List;

import org.jfree.chart.ChartFactory;
import org.jfree.chart.JFreeChart;
import org.jfree.chart.axis.AxisLocation;
import org.jfree.chart.axis.CategoryAxis;
import org.jfree.chart.axis.NumberAxis;
import org.jfree.chart.axis.ValueAxis;
import org.jfree.chart.labels.StandardCategoryToolTipGenerator;
import org.jfree.chart.plot.CategoryPlot;
import org.jfree.chart.plot.DatasetRenderingOrder;
import org.jfree.chart.plot.PlotOrientation;
import org.jfree.chart.renderer.category.LineAndShapeRenderer;
import org.jfree.data.category.DefaultCategoryDataset;
import org.matsim.counts.ComparisonErrorStatsCalculator;
import org.matsim.counts.CountSimComparison;

public final class BiasNormalizedErrorGraph extends CountsGraph {

    private ComparisonErrorStatsCalculator errorStats;

    public BiasNormalizedErrorGraph(final List<CountSimComparison> ccl, final int iteration, final String filename,
            final String chartTitle) {
        super(ccl, iteration, filename, chartTitle);
    }

    @Override
    public JFreeChart createChart(final int nbr) {
        DefaultCategoryDataset dataset0 = new DefaultCategoryDataset();
        DefaultCategoryDataset dataset1 = new DefaultCategoryDataset();

        this.errorStats = new ComparisonErrorStatsCalculator(this.ccl_);

        double[] meanNormRelError = this.errorStats.getMeanNormRelError();
        //      double[] meanAbsError = this.errorStats.getMeanAbsError();
        double[] meanBias = this.errorStats.getMeanBias();

        for (int h = 0; h < 24; h++) {
            meanNormRelError[h] *= 100;
            dataset0.addValue(meanNormRelError[h], "Mean norm rel error", Integer.toString(h + 1));
            //         dataset1.addValue(meanAbsError[h], "Mean abs error", Integer.toString(h + 1));
            dataset1.addValue(meanBias[h], "Mean bias", Integer.toString(h + 1));
        }

        this.chart_ = ChartFactory.createLineChart("", "Hour", "Mean norm rel error [%]", dataset0,
                PlotOrientation.VERTICAL, true, // legend?
                true, // tooltips?
                false // URLs?
        );
        CategoryPlot plot = this.chart_.getCategoryPlot();
        plot.setDomainAxisLocation(AxisLocation.BOTTOM_OR_RIGHT);
        plot.setDataset(1, dataset1);
        plot.mapDatasetToRangeAxis(1, 1);

        final LineAndShapeRenderer renderer = new LineAndShapeRenderer();
        renderer.setSeriesToolTipGenerator(0, new StandardCategoryToolTipGenerator());
        plot.setRenderer(0, renderer);

        final CategoryAxis axis1 = new CategoryAxis("Hour");
        axis1.setTickLabelFont(new Font("SansSerif", Font.PLAIN, 7));
        plot.setDomainAxis(axis1);

        //      final ValueAxis axis2 = new NumberAxis("Mean abs {bias, error} [veh/h]");
        final ValueAxis axis2 = new NumberAxis("Mean bias [veh/h]");
        plot.setRangeAxis(1, axis2);

        final ValueAxis axis3 = plot.getRangeAxis(0);
        axis3.setRange(0.0, 100.0);

        final LineAndShapeRenderer renderer2 = new LineAndShapeRenderer();
        renderer2.setSeriesToolTipGenerator(0, new StandardCategoryToolTipGenerator());
        renderer2.setSeriesToolTipGenerator(1, new StandardCategoryToolTipGenerator());
        //      renderer2.setSeriesPaint(0, Color.black);
        plot.setRenderer(1, renderer2);
        plot.setDatasetRenderingOrder(DatasetRenderingOrder.REVERSE);

        return this.chart_;
    }

    public double[] getMeanNormRelError() {
        if (this.errorStats == null) {
            throw new RuntimeException("Object not initialized correctly. Call createChart(..) first!");
        }
        return this.errorStats.getMeanRelError();
    }

    public double[] getMeanBias() {
        if (this.errorStats == null) {
            throw new RuntimeException("Object not initialized correctly. Call createChart(..) first!");
        }
        return this.errorStats.getMeanBias();
    }
}