attributestable.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: AttributesTable.java,v $
 * $Revision: 1.3 $
 * $Date: 2005/04/26 02:02:25 $
 *
 * NeuralNetworkToolkit
 * Copyright (C) 2004 Universidade de Brasília
 *
 * This file is part of NeuralNetworkToolkit.
 *
 * NeuralNetworkToolkit 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.
 *
 * NeuralNetworkToolkit 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 NeuralNetworkToolkit; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA - 02111-1307 - USA.
 */
package neuralnetworktoolkit.gui;

import java.util.Vector;
import javax.swing.*;
import javax.swing.table.*;

/**
 * 
 * 
 * @version 1.0 21 Jun 2004
 * 
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gon�alves</a>
 */
public class AttributesTable extends JTable {
	
	private DefaultTableModel tableModel;
	
	
	/**
	 * 
	 *
	 */
	public AttributesTable() {
		super();
		tableModel = new DefaultTableModel();
		this.setModel(tableModel);
		setDefaultProperties();
		
	} //AttributesTable()
	
	/**
	 * 
	 * @param attributeValues
	 * @param attributesNames
	 */
	public AttributesTable(String[][] attributeValues, String[] attributesNames) {
		super();
		tableModel = new DefaultTableModel(attributeValues, attributesNames);
		this.setModel(tableModel);
		setDefaultProperties();
		
	} //AttributesTable()
	
	/**
	 * Builds a new attributes table.
	 * 
	 * @param attributeValuesVector Initial values for attributes.
	 * @param attributesNamesVector Attributes names for table header.
	 */
	public AttributesTable(Vector attributeValuesVector, Vector attributesNamesVector) {
		super();
		tableModel = new DefaultTableModel(attributeValuesVector, attributesNamesVector);
		this.setModel(tableModel);
		setDefaultProperties();
		
	} //AttributesTable()
	
	
	/**
	 * 
	 * @param tableModel
	 */
	public AttributesTable(DefaultTableModel tableModel) {
		super();
		this.tableModel = tableModel;
		setModel(this.tableModel);
		setDefaultProperties();
		
	} //AttributesTable()
	
	/**
	 * 
	 * @param numRows
	 * @param numColumns
	 */
	public AttributesTable(int numRows, int numColumns){
		super();
		this.tableModel = new DefaultTableModel(numRows, numColumns);
		setModel(tableModel);
		setDefaultProperties();
		
	} //AttributesTable()
	
	/**
	 * 
	 * @return
	 */
	public boolean isLastRow() {
		if(tableModel.getRowCount()==1)
			return true;
		else return false;
		
	} //isLastRow()
	
	/**
	 * 
	 * @return
	 */
	public boolean isLastColumn() {
		if(this.getColumnCount()==1)
			return true;
		else return false;
		
	} //isLastColumn()
	
	/**
	 * 
	 *
	 */
	public void setDefaultProperties() {
		setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
		setSelectionMode(ListSelectionModel.SINGLE_SELECTION);
		getTableHeader().setReorderingAllowed(false);
		setColumnSelectionAllowed(true);
		setRowSelectionAllowed(false);
		
	} //setDefaultProperties()
	
	/**
	 * 
	 *
	 */
	public void setInferenceProperties() {
		setAutoResizeMode(JTable.AUTO_RESIZE_OFF);
		setSelectionMode(ListSelectionModel.SINGLE_SELECTION);
		getTableHeader().setReorderingAllowed(false);
		setColumnSelectionAllowed(false);
		setRowSelectionAllowed(true);
		
	} //setInferenceProperties()
	

} //AttributesTable