resultmatrixgnuplot.java

Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等

/*
 *    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., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 * ResultMatrixCSV.java
 * Copyright (C) 2005 University of Waikato, Hamilton, New Zealand
 *
 */


package weka.experiment;

import weka.core.Utils;
import weka.core.Version;

/**
 * This matrix is a container for the datasets and classifier setups and 
 * their statistics. It outputs the data in CSV format.
 *
 *
 * @author FracPete (fracpete at waikato dot ac dot nz)
 * @version $Revision: 1.3 $
 */

public class ResultMatrixGnuPlot extends ResultMatrix {
  /**
   * initializes the matrix as 1x1 matrix
   */
  public ResultMatrixGnuPlot() {
    this(1, 1);
  }

  /**
   * initializes the matrix with the given dimensions
   */
  public ResultMatrixGnuPlot(int cols, int rows) {
    super(cols, rows);
  }

  /**
   * initializes the matrix with the values from the given matrix
   * @param matrix      the matrix to get the values from
   */
  public ResultMatrixGnuPlot(ResultMatrix matrix) {
    super(matrix);
  }

  /**
   * returns the name of the output format
   */
  public String getDisplayName() {
    return "GNUPlot";
  }

  /**
   * removes the stored data but retains the dimensions of the matrix
   */
  public void clear() {
    super.clear();
    setRowNameWidth(50);
    setColNameWidth(50);
    setEnumerateRowNames(false);
    setEnumerateColNames(false);
    LEFT_PARENTHESES = "";
    RIGHT_PARENTHESES = "";
  }
  
  /**
   * returns the header of the matrix as a string
   * @see #m_HeaderKeys
   * @see #m_HeaderValues
   */
  public String toStringHeader() {
    return new ResultMatrixPlainText(this).toStringHeader();
  }

  /**
   * returns the matrix in CSV format
   */
  public String toStringMatrix() {
    StringBuffer        result;
    String[][]          cells;
    int                 i;
    int                 n;
    String              line;
    String              title;
    String              generated;

    result = new StringBuffer();
    cells  = toArray();

    // generation comment
    generated = "# generated by WEKA " + Version.VERSION + "\n";

    // data
    result.append("\n");
    result.append("##################\n");
    result.append("# file: plot.dat #\n");
    result.append("##################\n");
    result.append(generated);
    result.append("# contains the data for the plot\n");
    // key for x-axis
    result.append("\n");
    result.append("# key for the x-axis\n");
    for (i = 1; i < cells.length - 1; i++)
      result.append("# " + i + " - " + cells[i][0] + "\n");
    // the data itself
    result.append("\n");
    result.append("# data for the plot\n");
    for (i = 1; i < cells.length - 1; i++) {
      result.append(Integer.toString(i));
      for (n = 1; n < cells[i].length; n++) {
        if (isSignificance(n))
          continue;
        result.append(" ");
        result.append(Utils.quote(cells[i][n]));
      }
      result.append("\n");
    }
    result.append("#######\n");
    result.append("# end #\n");
    result.append("#######\n");

    // script
    result.append("\n");
    result.append("##################\n");
    result.append("# file: plot.scr #\n");
    result.append("##################\n");
    result.append(generated);
    result.append("# script to plot the data\n");
    result.append("\n");
    result.append("# display it in a window:\n");
    result.append("set terminal x11\n");
    result.append("set output\n");
    result.append("\n");
    result.append("# to display all data rows:\n");
    result.append("set xrange [0:" + ((cells.length - 2) + 1) + "]\n");
    result.append("\n");
    result.append("# axis labels, e.g.:\n");
    result.append("#set xlabel \"Datasets\"\n");
    result.append("#set ylabel \"Accuracy in %\"\n");
    result.append("\n");
    result.append("# the plot commands\n");
    n = 1;
    i = 0;
    while (i < cells[0].length - 1) {
      i++;

      if (isSignificance(i))
        continue;

      n++;
      
      // plot
      if (i == 1)
        line = "plot";
      else
        line = "replot";
      line += " \"plot.dat\"";

      // title
      title = "title \"" + cells[0][i] + "\"";
      
      // columns
      line += " using 1:" + n;
      if (getShowStdDev()) {
        n++;
        i++;
        // errorbars
        line += ":" + n;
      }
      
      // options
      line += " with";
      if (getShowStdDev())
        line += " yerrorbars";
      else
        line += " lines";
      line += " " + title;
      
      result.append(line + "\n");
    }
    result.append("\n");
    result.append("# generate ps:\n");
    result.append("#set terminal postscript\n");
    result.append("#set output \"plot.ps\"\n");
    result.append("#replot\n");
    result.append("\n");
    result.append("# generate png:\n");
    result.append("#set terminal png size 800,600\n");
    result.append("#set output \"plot.png\"\n");
    result.append("#replot\n");
    result.append("\n");
    result.append("# wait for user to hit <Return>\n");
    result.append("pause -1\n");
    result.append("#######\n");
    result.append("# end #\n");
    result.append("#######\n");
    
    return result.toString();
  }

  /**
   * returns returns a key for all the col names, for better readability if
   * the names got cut off
   */
  public String toStringKey() {
    return new ResultMatrixPlainText(this).toStringKey();
  }

  /**
   * returns the summary as string
   */
  public String toStringSummary() {
    return new ResultMatrixPlainText(this).toStringSummary();
  }

  /**
   * returns the ranking in a string representation
   */
  public String toStringRanking() {
    return new ResultMatrixPlainText(this).toStringRanking();
  }

  /**
   * for testing only
   */
  public static void main(String[] args) {
    ResultMatrix        matrix;
    int                 i;
    int                 n;
    
    matrix = new ResultMatrixGnuPlot(3, 3);

    // set header
    matrix.addHeader("header1", "value1");
    matrix.addHeader("header2", "value2");
    matrix.addHeader("header2", "value3");
    
    // set values
    for (i = 0; i < matrix.getRowCount(); i++) {
      for (n = 0; n < matrix.getColCount(); n++) {
        matrix.setMean(n, i, (i+1)*n);
        matrix.setStdDev(n, i, ((double) (i+1)*n) / 100);
        if (i == n) {
          if (i % 2 == 1)
            matrix.setSignificance(n, i, SIGNIFICANCE_WIN);
          else
            matrix.setSignificance(n, i, SIGNIFICANCE_LOSS);
        }
      }
    }

    System.out.println("\n\n--> " + matrix.getDisplayName());
    
    System.out.println("\n1. complete\n");
    System.out.println(matrix.toStringHeader() + "\n");
    System.out.println(matrix.toStringMatrix() + "\n");
    System.out.println(matrix.toStringKey());
    
    System.out.println("\n2. complete with std deviations\n");
    matrix.setShowStdDev(true);
    System.out.println(matrix.toStringMatrix());
    
    System.out.println("\n3. cols numbered\n");
    matrix.setPrintColNames(false);
    System.out.println(matrix.toStringMatrix());
    
    System.out.println("\n4. second col missing\n");
    matrix.setColHidden(1, true);
    System.out.println(matrix.toStringMatrix());
    
    System.out.println("\n5. last row missing, rows numbered too\n");
    matrix.setRowHidden(2, true);
    matrix.setPrintRowNames(false);
    System.out.println(matrix.toStringMatrix());
    
    System.out.println("\n6. mean prec to 3\n");
    matrix.setMeanPrec(3);
    matrix.setPrintRowNames(false);
    System.out.println(matrix.toStringMatrix());
  }
}