Java实训第一天
来源：互联网 发布：哲理名句知乎 编辑：程序博客网 时间：2024/05/16 15:17
import java.awt.EventQueue;import javax.swing.JFrame;import javax.swing.JPanel;import javax.swing.border.EmptyBorder;import javax.swing.ImageIcon;import javax.swing.JButton;import javax.swing.JFileChooser;import javax.swing.JTextField;import javax.swing.JLabel;import java.awt.Color;import java.awt.SystemColor;import java.awt.event.ActionListener;import java.awt.event.ActionEvent;import java.awt.event.MouseAdapter;import java.awt.event.MouseEvent;import java.io.File;import java.util.Random;public class Text01 extends JFrame { /** * */ private static final long serialVersionUID = 1L; private JPanel contentPane; private JTextField tfDir; private JTextField tfClass; String strPath = ""; String strFileName = ""; File[] fileArray; int NUM_IMG = 0; int index = 0; /** * Launch the application. */ public static void main(String[] args) { EventQueue.invokeLater(new Runnable() { public void run() { try { Guess01 frame = new Guess01(); frame.setVisible(true); } catch (Exception e) { e.printStackTrace(); } } }); } /** * Create the frame. */ public Guess01() { setTitle(" 猜猜看游戏FV0.1"); setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); setBounds(100, 100, 645, 409); contentPane = new JPanel(); contentPane.setBorder(new EmptyBorder(5, 5, 5, 5)); setContentPane(contentPane); contentPane.setLayout(null); final JButton btnDir = new JButton("\u9009\u62E9\u76EE\u5F55"); btnDir.addActionListener(new ActionListener() { public void actionPerformed(ActionEvent e) { if(e.getSource()==btnDir){ JFileChooser jfc=new JFileChooser(); //jfc.setFileSelectionMode(JFileChooser.FILES_AND_DIRECTORIES ); jfc.setFileSelectionMode(JFileChooser.DIRECTORIES_ONLY); jfc.showDialog(new JLabel(), "选择"); File file=jfc.getSelectedFile(); if(file.isDirectory()){ System.out.println("文件夹:"+file.getAbsolutePath()); }else if(file.isFile()){ System.out.println("文件:"+file.getAbsolutePath()); } System.out.println(jfc.getSelectedFile().getName()); // 把文件路径显示在文本框中 tfDir.setText(file.getAbsolutePath()); //jlbImg.setIcon(new ImageIcon(file.getAbsolutePath())); // 获取文件路径 与文件名 strPath = file.getAbsolutePath(); strFileName = jfc.getSelectedFile().getName(); if(file!=null && file.isDirectory()); fileArray = file.listFiles(); NUM_IMG = fileArray.length; } } } }); btnDir.setBounds(26, 26, 93, 23); contentPane.add(btnDir); // 文本框，显示目录 tfDir = new JTextField(); tfDir.setEditable(false); tfDir.setBounds(125, 27, 363, 21); contentPane.add(tfDir); tfDir.setColumns(10); // 选择班级 按钮的处理程序 JButton btnClass = new JButton("\u9009\u62E9\u73ED\u7EA7"); btnClass.addActionListener(new ActionListener() { public void actionPerformed(ActionEvent e) { } }); btnClass.setBounds(26, 59, 93, 23); contentPane.add(btnClass); // 文本框，显示班级文件 tfClass = new JTextField(); tfClass.setEditable(false); tfClass.setBounds(125, 60, 363, 21); contentPane.add(tfClass); tfClass.setColumns(10); // 标签，显示带猜测学生姓名 JLabel lbGuessName = new JLabel("\u59D3\u540D"); lbGuessName.setBounds(259, 91, 102, 23); contentPane.add(lbGuessName); // 标签，显示第一个学生相片 final JLabel lblImg1 = new JLabel("\u56FE\u72471"); lblImg1.addMouseListener(new MouseAdapter() { @Override public void mouseClicked(MouseEvent arg0) { } }); lblImg1.setBounds(26, 151, 183, 178); contentPane.add(lblImg1); // 标签，显示第二个学生相片 final JLabel lblImg2 = new JLabel("\u56FE\u72472"); lblImg2.addMouseListener(new MouseAdapter() { @Override public void mouseClicked(MouseEvent e) { } }); lblImg2.setForeground(Color.BLACK); lblImg2.setBackground(SystemColor.inactiveCaption); lblImg2.setBounds(241, 155, 183, 172); contentPane.add(lblImg2); // 标签，显示第三个学生相片 final JLabel lblImg3 = new JLabel("\u56FE\u72473"); lblImg3.addMouseListener(new MouseAdapter() { @Override public void mouseClicked(MouseEvent e) { } }); lblImg3.setBounds(434, 155, 185, 172); contentPane.add(lblImg3); // 再猜一次 按钮，点击则更新相应的三张图片 与 带猜测学生姓名 final JButton btnGuessAgain = new JButton("\u518D\u731C\u4E00\u6B21"); btnGuessAgain.addActionListener(new ActionListener() { public void actionPerformed(ActionEvent e) { if(e.getSource()==btnGuessAgain){ //如果是next按钮 String[] imgSrcs = {"D:/photo/1.jpg","D:/photo/2.jpg","D:/photo/3.jpg","D:/photo/4.jpg","D:/photo/5.jpg","D:/photo/6.jpg","D:/photo/7.jpg","D:/photo/8.jpg","D:/photo/9.jpg","D:/photo/10.jpg","D:/photo/11.jpg","D:/photo/12.jpg","D:/photo/13.jpg","D:/photo/14.jpg","D:/photo/15.jpg","D:/photo/16.jpg","D:/photo/17.jpg","D:/photo/18.jpg","D:/photo/19.jpg","D:/photo/20.jpg","D:/photo/21.jpg","D:/photo/22.jpg","D:/photo/23.jpg","D:/photo/24.jpg"}; <span style="font-family: Arial, Helvetica, sans-serif;">Random r = new Random();</span><img src="data:image/png;base64,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" alt="" />运行结果，
这里呢。运用随机数，还有就是提取文件中的照片，一个程序的大概模型！
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