Example usage for org.jfree.data.statistics DefaultBoxAndWhiskerCategoryDataset add

Introduction

In this page you can find the example usage for org.jfree.data.statistics DefaultBoxAndWhiskerCategoryDataset add.

Prototype

public void add(BoxAndWhiskerItem item, Comparable rowKey, Comparable columnKey) 

Source Link

Document

Adds a list of values relating to one Box and Whisker entity to the table.

Usage

From source file:unalcol.termites.boxplots.HybridInformationCollected.java

/**
 * Creates a sample dataset./*from ww w .  j ava  2  s  . c o m*/
 *
 * @return A sample dataset.
 */
private BoxAndWhiskerCategoryDataset createSampleDataset(ArrayList<Double> Pf) {

    final int seriesCount = 5;
    final int categoryCount = 4;
    final int entityCount = 22;
    String sDirectorio = experimentsDir;
    File f = new File(sDirectorio);
    String extension;
    File[] files = f.listFiles();
    Hashtable<String, String> Pop = new Hashtable<>();
    PrintWriter escribir;
    Scanner sc = null;
    ArrayList<Integer> aPops = new ArrayList<>();
    ArrayList<Double> aPf = new ArrayList<>();
    ArrayList<String> aTech = new ArrayList<>();

    final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    for (File file : files) {
        extension = "";
        int i = file.getName().lastIndexOf('.');
        int p = Math.max(file.getName().lastIndexOf('/'), file.getName().lastIndexOf('\\'));
        if (i > p) {
            extension = file.getName().substring(i + 1);
        }

        // System.out.println(file.getName() + "extension" + extension);
        if (file.isFile() && extension.equals("csv") && file.getName().startsWith("experiment")
                && file.getName().contains(mazeMode)) {
            System.out.println(file.getName());
            System.out.println("get: " + file.getName());
            String[] filenamep = file.getName().split(Pattern.quote("+"));

            System.out.println("file" + filenamep[8]);

            int popsize = Integer.valueOf(filenamep[2]);
            double pf = Double.valueOf(filenamep[4]);
            String mode = filenamep[6];

            int maxIter = -1;
            //if (!filenamep[8].isEmpty()) {
            int n = 0;
            int rho = 0;
            double evapRate = 0.0;
            //14, 16, 16
            if (mode.equals("hybrid")) {
                n = Integer.valueOf(filenamep[14]);
                rho = Integer.valueOf(filenamep[16]);
                String[] tmp = filenamep[18].split(Pattern.quote("."));

                System.out.println("history size:" + n);
                System.out.println("rho:" + rho);
                String sEvap = tmp[0] + "." + tmp[1];
                evapRate = Double.valueOf(sEvap);
            }

            System.out.println("psize:" + popsize);
            System.out.println("pf:" + pf);
            System.out.println("mode:" + mode);
            System.out.println("maxIter:" + maxIter);
            System.out.println("evap:" + evapRate);
            //String[] aMode = {"hybrid", "lwphevap"};

            if (/*Pf == pf && */isInMode(aMode, mode)) {
                final List list = new ArrayList();
                try {
                    sc = new Scanner(file);

                } catch (FileNotFoundException ex) {
                    Logger.getLogger(DataCollectedLatexConsolidatorSASOMessagesSend1.class.getName())
                            .log(Level.SEVERE, null, ex);
                }
                int agentsCorrect = 0;
                int worldSize = 0;
                double averageExplored = 0.0;
                int bestRoundNumber = 0;
                double avgSend = 0;
                double avgRecv = 0;
                double avgdataExplInd = 0;
                ArrayList<Double> acSt = new ArrayList<>();
                ArrayList<Double> avgExp = new ArrayList<>();
                ArrayList<Double> bestR = new ArrayList<>();
                ArrayList<Double> avSnd = new ArrayList<>();
                ArrayList<Double> avRecv = new ArrayList<>();
                ArrayList<Double> avIndExpl = new ArrayList<>();

                String[] data = null;
                while (sc.hasNext()) {
                    String line = sc.nextLine();
                    //System.out.println("line:" + line);
                    data = line.split(",");
                    agentsCorrect = Integer.valueOf(data[0]);
                    //agentsIncorrect = Integer.valueOf(data[1]); // not used
                    worldSize = Integer.valueOf(data[3]);
                    averageExplored = Double.valueOf(data[4]);
                    // data[3] stdavgExplored - not used
                    bestRoundNumber = Integer.valueOf(data[6]);
                    avgSend = Double.valueOf(data[7]);
                    avgRecv = Double.valueOf(data[8]);
                    avgdataExplInd = Double.valueOf(data[11]);

                    //Add Data and generate statistics 
                    acSt.add((double) agentsCorrect);
                    avgExp.add(averageExplored);

                    avSnd.add(avgSend);
                    avRecv.add(avgRecv);
                    avIndExpl.add(avgdataExplInd);

                    list.add(new Double(averageExplored / (double) worldSize * 100));
                }
                LOGGER.debug("Adding series " + i);
                LOGGER.debug(list.toString());
                if (Pf.contains(pf)) {
                    /*pf == 1.0E-4 || pf == 3.0E-4*/
                    if (Pf.size() == 1) {
                        if (mode.equals("hybrid")) {
                            dataset.add(list, popsize,
                                    /*getTechniqueName(mode) + */ rho + "-" + evapRate + "-" + n);
                        } else {
                            dataset.add(list, popsize, getTechniqueName(mode));
                        }
                    } else {
                        if (mode.equals("hybrid")) {
                            dataset.add(list, String.valueOf(popsize) + "-" + pf,
                                    /*getTechniqueName(mode) +*/ rho + "-" + evapRate + "-" + n);
                        } else {
                            dataset.add(list, String.valueOf(popsize) + "-" + pf, getTechniqueName(mode));
                        }
                    }
                }
            }
        }

    }

    /*for (int i = 0; i < seriesCount; i++) {
     for (int j = 0; j < categoryCount; j++) {
     final List list = new ArrayList();
     // add some values...
     for (int k = 0; k < entityCount; k++) {
     final double value1 = 10.0 + Math.random() * 3;
     list.add(new Double(value1));
     final double value2 = 11.25 + Math.random(); // concentrate values in the middle
     list.add(new Double(value2));
     }
     LOGGER.debug("Adding series " + i);
     LOGGER.debug(list.toString());
     dataset.add(list, "Series " + i, " Type " + j);
     }
            
     }*/
    return dataset;
}

---

From source file:unalcol.termites.boxplots.HybridRoundNumberReport.java

/**
 * Creates a sample dataset.//from   w  ww. j a  va 2s . c  om
 *
 * @return A sample dataset.
 */
private BoxAndWhiskerCategoryDataset createSampleDataset(ArrayList<Double> Pf) {

    final int seriesCount = 5;
    final int categoryCount = 4;
    final int entityCount = 22;
    String sDirectorio = ".\\experiments\\2015-10-07-Hybrid\\hybridres";

    File f = new File(sDirectorio);
    String extension;
    File[] files = f.listFiles();
    Hashtable<String, String> Pop = new Hashtable<>();
    PrintWriter escribir;
    Scanner sc = null;
    ArrayList<Integer> aPops = new ArrayList<>();
    ArrayList<Double> aPf = new ArrayList<>();
    ArrayList<String> aTech = new ArrayList<>();

    final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    for (File file : files) {
        extension = "";
        int i = file.getName().lastIndexOf('.');
        int p = Math.max(file.getName().lastIndexOf('/'), file.getName().lastIndexOf('\\'));
        if (i > p) {
            extension = file.getName().substring(i + 1);
        }

        // System.out.println(file.getName() + "extension" + extension);
        if (file.isFile() && extension.equals("csv") && file.getName().startsWith("experiment")) {
            System.out.println(file.getName());
            System.out.println("get: " + file.getName());
            String[] filenamep = file.getName().split(Pattern.quote("+"));

            System.out.println("file" + filenamep[8]);

            int popsize = Integer.valueOf(filenamep[2]);
            double pf = Double.valueOf(filenamep[4]);
            String mode = filenamep[6];

            int maxIter = -1;
            //if (!filenamep[8].isEmpty()) {
            maxIter = Integer.valueOf(filenamep[8]);
            //}
            int n = 0;
            int rho = 0;
            double evapRate = 0.0;
            //14, 16, 16
            if (mode.equals("hybrid")) {
                n = Integer.valueOf(filenamep[14]);
                rho = Integer.valueOf(filenamep[16]);
                String[] tmp = filenamep[18].split(Pattern.quote("."));

                System.out.println("history size:" + n);
                System.out.println("rho:" + rho);
                String sEvap = tmp[0] + "." + tmp[1];
                evapRate = Double.valueOf(sEvap);
            }

            System.out.println("psize:" + popsize);
            System.out.println("pf:" + pf);
            System.out.println("mode:" + mode);
            System.out.println("maxIter:" + maxIter);
            System.out.println("evap:" + evapRate);
            String[] aMode = { "hybrid", "lwphevap" };

            if (isInMode(aMode, mode)) {
                final List list = new ArrayList();
                try {
                    sc = new Scanner(file);

                } catch (FileNotFoundException ex) {
                    Logger.getLogger(DataCollectedLatexConsolidatorSASOMessagesSend1.class.getName())
                            .log(Level.SEVERE, null, ex);
                }
                int agentsCorrect = 0;
                int worldSize = 0;
                double averageExplored = 0.0;
                int bestRoundNumber = 0;
                double avgSend = 0;
                double avgRecv = 0;
                double avgdataExplInd = 0;
                ArrayList<Double> acSt = new ArrayList<>();
                ArrayList<Double> avgExp = new ArrayList<>();
                ArrayList<Double> bestR = new ArrayList<>();
                ArrayList<Double> avSnd = new ArrayList<>();
                ArrayList<Double> avRecv = new ArrayList<>();
                ArrayList<Double> avIndExpl = new ArrayList<>();

                String[] data = null;
                while (sc.hasNext()) {
                    String line = sc.nextLine();
                    //System.out.println("line:" + line);
                    data = line.split(",");
                    agentsCorrect = Integer.valueOf(data[0]);
                    //agentsIncorrect = Integer.valueOf(data[1]); // not used
                    worldSize = Integer.valueOf(data[3]);
                    averageExplored = Double.valueOf(data[4]);
                    // data[3] stdavgExplored - not used
                    bestRoundNumber = Integer.valueOf(data[6]);
                    avgSend = Double.valueOf(data[7]);
                    avgRecv = Double.valueOf(data[8]);
                    avgdataExplInd = Double.valueOf(data[11]);

                    //Add Data and generate statistics 
                    acSt.add((double) agentsCorrect);
                    avgExp.add(averageExplored);

                    avSnd.add(avgSend);
                    avRecv.add(avgRecv);
                    avIndExpl.add(avgdataExplInd);
                    if (bestRoundNumber != 0 && bestRoundNumber != -1) {
                        list.add(new Double(bestRoundNumber));
                    }
                }
                LOGGER.debug("Adding series " + i);
                LOGGER.debug(list.toString());
                if (Pf.contains(pf)) {
                    /*pf == 1.0E-4 || pf == 3.0E-4*/
                    if (Pf.size() == 1) {
                        if (mode.equals("hybrid")) {
                            dataset.add(list, popsize,
                                    /*getTechniqueName(mode) + */ rho + "-" + evapRate + "-" + n);
                        } else {
                            dataset.add(list, popsize, getTechniqueName(mode));
                        }
                    } else {
                        if (mode.equals("hybrid")) {
                            dataset.add(list, String.valueOf(popsize) + "-" + pf,
                                    /*getTechniqueName(mode) +*/ rho + "-" + evapRate + "-" + n);
                        } else {
                            dataset.add(list, String.valueOf(popsize) + "-" + pf, getTechniqueName(mode));
                        }
                    }
                }
            }
        }

    }

    /*for (int i = 0; i < seriesCount; i++) {
     for (int j = 0; j < categoryCount; j++) {
     final List list = new ArrayList();
     // add some values...
     for (int k = 0; k < entityCount; k++) {
     final double value1 = 10.0 + Math.random() * 3;
     list.add(new Double(value1));
     final double value2 = 11.25 + Math.random(); // concentrate values in the middle
     list.add(new Double(value2));
     }
     LOGGER.debug("Adding series " + i);
     LOGGER.debug(list.toString());
     dataset.add(list, "Series " + i, " Type " + j);
     }
            
     }*/
    return dataset;
}

---

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