Java从入门到精通
2022-06-08 14:42:33 31 举报
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第一章 初识Java
1.1 Java 简介
认识了什么是java
java是于1995年由Sun公司推出的一种极富创造力的面向对象的程序设计语言。
1.2 搭建Java环境
(1)级系统设置
(2)新建环境变量
(3)分别输入变量名“JAVA-HOME”和变量值(JDK的安装路径)
(4)在环境变量中双击Path变量进行修改,在原变量值的最前端添加“.;%JAVA-HOME%\BIN;%JAVA-HOME%\jre\bin;”变量值。完成环境变量的设置。
(5)在“环境变量”对话框中新建一个SLASSPATH变量,变量值为“.;%JAVA-HOME%\lib\tools.jar”。
(6)JDK安装成功后必须确认环境配置是否正确,以管理员身份运行cmd控制台,输入javac命令然后回车,显示如下则表示JDK换进搭建成功。
1.3 第一个Java程序
java应用程序可以是使用任何一个文本编辑器来编写程序的源代码,然后使用JDK搭配的工具进行编译和运行。
步骤:
(1)新建全英文路径
(2)新建hello java.java文件夹
(3)使用记事本打开方式
(4)敲入代码
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">
(5)先编译再运行(javac hello java.java对代码进行编译)然后回车运行程序。
1.4 Eclipse开发环境
<p>Eclipse是由IBM公司开发的集成开发工具。</p><p>下载并安装Eclipse</p><p>创建新java项目</p>
1.5 Eclipse的使用
非常好用
1.6 程序调试
<p>程序中设置断点以检测程序是否出现错误</p><p>1、在一行代码的第一列右击鼠标,</p><p>2、点击“Togoint Breakpoint”,</p>
使用断点该程序暂停后,可以通过Debug(调试)试图工具栏上的按钮执行相应的调试操作。
第二章 Java语言基础
2.1代码注释与编码规范
单行注释
“//”为单行注释标记,从“//”符号开始直到换行为止的所有内容都被作为注释而被编译器忽略,不会被运行。(注释内容不可换行)
语法如下:<img src="data:image/png;base64,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">
多行注释
<p>“/**/”为多行注释标记,符号“/**/”之间的所有内容均为注释内容。(注释内容可以换行)</p>
语法如下: <img src="data:image/png;base64,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">
文档注释
“/** */”为多行注释标记,符号“/** */”之间的所有内容均为注释内容。(注释内容可以换行)</p><br>
多行注释不能嵌套多行注释,可以嵌套单行注释
编码规范
(1)每条语句要独占一行,一条命令要以分号结束。英文状态下的分号“;”。
(2)为了日后的维护和阅读,尽量让代码更加简洁明了,便于阅读和理解应当多加注释。
2.2 变量与常量
标识符
<p>标识符可以理解为一个名字,用来标识类名、变量名、方法名、数组名等有效的字符序列。</p><p>Java语言规定标识符有任意顺序的字母、下划线(-)、美元符号($)、和数字组成,并且第一个字符不能是数字。注意:标识符不能是Java中的关键字。</p>
以下是java中的关键字 <img src="data:image/png;base64,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">
变量
声明变量并赋值给变量(可以改变的)
常量
程序运行过程中一直不会改变的量称为常量,常量也称为“final变量”,在整个程序中只能被赋值一次。
2.3 基本数据类型<br>
(1)int型
<img 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">
(2)byte型
byte的声明方式与int型相同。
(3)short型
short型的声明方式与int型相同
(4)long型
<p>long型的取值范围比int型大,属于比int型高级的数据类型,所以要和int做出区分,</p><p>需要在整数后面加L或者l。</p>
<p>整型数据在Java程序中有三种表示方式,分别为<span style="color: rgb(254, 44, 36);">十进制,八进制,十六进制。</span></p><p>十进制:不能以0作为十进制的开头(0除外);</p><p>八进制:八进制必须以0开头;</p><p>十六进制:十六进制必须以0X或0x开头;</p>
(5)浮点类型
在默认情况下小数都被看做double型(双精度浮点型),使用float型(单精度浮点型)小数,需要在小数后面添加f或F,也可以在小数后面添加D或d表明是一个double类型数据,无硬性规定,可加可不加。
<p><span style="color: rgb(254, 44, 36);">注意:</span></p><p><span style="color: rgb(13, 0, 22);">浮点值属于近似值,在系统中结果可能与实际值有偏差。</span></p>
(6)字符类型
<p>(1)char型用于存储单个字符,占用16位的内存空间。</p><p>在声明字符型变量时要用单引号表示,如 's' 、'b' 表示一个字符。</p>
(2)转义字符 <img src="data:image/png;base64,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">
(7)布尔类型
布尔类型又称逻辑类型,只有ture和false两个值,常用语于控制流程中的判断条件。
子主题
2.4 数据类型转换
1.隐式转换
隐式转换是从低级类型向高级类型的转换,系统将自动转换。<br><br>数据类型精度从“低”到“高”的顺序为:<br><br>byte < short < int < long < float <double;
2.显示转换
当高精度的变量赋值给低精度变量时,必须使用显示转换运算(又称强制转换类型)<br><br>执行时可能会导致精度损失。
2.5 运算符
1. 赋值运算符——“=”,他是双目运算符,作用时把“=”右边的值赋给左边
2.算数运算符:“+、-、*、/、%”,分别代表加、减、乘、除、求余。
3.自增自减运算符:“a++、a--、++a、--a”符号在前的先计算后使用,符号 在后的先使用后计算。
4.关系运算符:“=、<、>、<=、>=、!=”分别代表等于、小于、大于、小于等于、大于等于、不等于,属于双目运算符,计算结果为布尔类型。
5.逻辑运算符:“&&、||、!”含义分别是逻辑与、逻辑或、逻辑非
6.位运算符:分别有左移<<、右移>>和无符号右移>>>,
第三章 流程控制
3.1 程序结构
顺序结构、选择结构、循环结构
3.2 条件语句
3.2.1 if条件语句
if.....else语句:通常表现为“如果满足某种条件,就执行某种处理,否则就执行另一种处理.条件语句可以有多种嵌套方式,可以根据具体需要进行设计,但一定要注意逻辑关系的正确处理。使用if语句嵌套时要注意else关键字要和if关键字成对出现,并且遵守临近原则,else关键字和自己最近的if语句构成一对。
注意else不能单独使用,必须和关键字if一起出现。
3.2.2 switch多分支语句
switch多分支语句:switch语句中参数必须是整数、字符型、枚举类型、字符串类型。switch语句首先计算参数的值,如果参数的值和某个case后面的常量表达式相同,则执行该case语句后的若干个语句,直到遇到break语句为止。如果switch语句中没有break关键字,即使执行完对应的case的处理语句,switch语句也不会立即停止,而是会继续执行下面所有的case,直到遇到break关键字或者完成执行完所有代码才停止
3.3 循环语句
3.3.1 while 循环语句
循环语句:while循环语句、do...whlie语句、for循环语句 、foreach语句、循环语句的嵌套。while语句的循环方式为利用一个条件来控制是否要继续反复执行这个语句 。当条件表达式的返回值为真时,则执行”{}“中的语句,当执行完“{}”中的语句后,重新判断条件表达式的返回值,直到表达式返回的结果为假时,退出循环。<br>
3.3.2 do ...while 语句
do....while循环语句 :先执行一次循环后,再判断条件是否成立。也就是说do...while循环语句中“{}”中的程序段至少要被执行一次。
3.3.3 while 与do...while 比较
do....while循环语句 :先执行一次循环后,再判断条件是否成立。也就是说do...while循环语句中“{}”中的程序段至少要被执行一次。
3.3.4 for 循环语句
<br>先执行表达式1 。<br>判断表达式2,若其值为真,则执行for语句中指定的内嵌语句,然后执行3.。若为假,则结束循环,转到5.。<br>执行表达式3.<br>返回2.继续执行。<br>循环结束,执行for语句下面的一个语句。<br>
for(表达式1;表达式2;表达式3){<br>语句<br>}
3.3.5 foreach 语句
public class test16 {//创建类<br> <br> public static void main(String[] args) {//主方法<br> int arr[]={7,10,1};//声明一维数组<br> System.out.println("一维数组中的元素分别为:");//输出信息<br> for(int x:arr){//foreach语句,int x引用的变量,arr指定要循环遍历的数组,最后将x输出<br> System.out.println(x);//输出x的值<br> }<br> }<br> <br>}//主要作用:遍历数组。
3.3.6 循环语句的嵌套
3.4 跳转语句
3.4.1break 语句
break语句:使用break语句可以跳出switch结构。在循环中可以跳出当前循环体,从而中断当前循环。
如果想要让break跳出外层循环,java提供了标签的功能,语法如下:<br><br>标签名:循环体{<br>break标签名;<br>}<br>标签名:任意标识符。<br><br>循环体:任意循环语句<br><br>break标签名:break跳出指定的循环体,此循环的标签名必须与break的标签名一致。带有标签的break可以制定跳出外层循环,这个循环可以是内层循环,也可以是外层循环。
3.4.2 continue 语句
continue语句:continue不是立即跳出循环体,而是跳出本次循环结束前的语句,回到循环的条件测试部分,重新开始执行循环。continue语句也可以使用标签。
第四章 数组
4.1数组的概述
数组(array)是一种最简单的复合数据类型,它是有序数据的集合,数组中的每个元素具有相同的数据类型,可以用一个统一的数组名和不同的下标来确定数组中唯一的元素。根据数组的维度,可以将其分为一维数组、二维数组和多维数组等。
4.2 一维数组
4.2.1 创建一维数组
指的是一组相同数据类型的线性集合
4.2.2 初始化一维数组 分配数组储存空间
<br>int arr[];//声明int型数组,数组的每个元素都是int型数值<br>double arr[];//声明double型数组,数组的每个元素都是double型数值<br><br>
<br>数组名字 = new 数组元素类型 [数组元素的个数];<br>arr = new int [5];//数组长度为五<br>
4.2.3 获取数组长度
<br>4、获取数组长度<br>arrayName[index];其中,arrayName 表示数组变量,index 表示下标,下标为 0 表示获取第一个元素,下标为 array.length-1 表示获取最后一个元素。当指定的下标值超出数组的总长度时,会拋出 Array异常。<br><br>package javaProject001;<br><br>public class wwwwww {<br><br> public static void main(String[] args) {<br> char a[] = {'A','B','c','D'};<br> System.out.println("数组a长度为" + a.length);<br> char b[] = a;<br> System.out.println("数组b的长度为" + b.length);<br> <br> }<br><br>}<br>
4.2.4 使用一维数组
<br>使用一维数组<br> <br>import java.util.Scanner;//引入方法<br>public class Test {//创建类<br> public static void main(String[] args) {//主方法<br> int[] prices = new int[5]; // 声明数组并分配空间<br> Scanner input = new Scanner(System.in); // 接收用户从控制台输入的数据<br> for (int i = 0; i < prices.length; i++) {<br> System.out.println("请输入第" + (i + 1) + "件商品的价格:");<br> prices[i] = input.nextInt(); // 接收用户从控制台输入的数据<br> }<br> System.out.println("第 3 件商品的价格为:" + prices[2]);<br> }<br>}<br>
4.3 二维数组
4.3.1 创建并使用二维数组
<br>int a [] [];<br>a = new int [2] [34];//直接分配行列<br>int b [] [];<br>int b = new int [2] [];//先分配行,不分配列<br>b[0] = new int [2];//给第一行分配列<br>b[1] = new int [2];//给第二列分配列<br><br>
4.3.2 初始化二维数组
<br>package boketask;<br><br>public class eg1 {<br><br> public static void main(String[] args) {<br> int taderr1 [] [] = {{1,2,5},{5,7,9}};<br> int tader2 [] [] = new int [] [] {{65,55,12},{97,65,312}};<br> int tader3 [] [] = new int [2][3];//先给数组分配内存空间<br> tader3[0] = new int [] {78,88,66};//给第一行分配一个一维数组<br> tader3[1][0] = 64;//第二行第一列赋值<br> tader3[1][1] = 21;//第二行第二列赋值<br> tader3[1][2] = 19;//第二行第三列赋值<br> }<br><br>}<br><br>
4.3.3 使用二维数组
<br>package shuzutask1;//包名<br><br>public class asdfdfdfdf {//创建类<br><br> public static void main(String[] args) {//主方法<br> char arr[][] = new char[4][];//创建一个四行的二维数组<br> arr[0]= new char[] {'春','眠','不','觉','晓'};//给数组赋值<br> arr[1]= new char[] {'处','处','闻','啼','鸟'};//给数组赋值<br> arr[2]= new char[] {'夜','来','风','雨','声'};//给数组赋值<br> arr[3]= new char[] {'花','落','知','多','少'};//给数组赋值<br> for (int i = 0;i<arr.length;i++) {//循环四行<br> for (int j = 0;j<5;j++) {循环五列<br> System.out.print(arr[i][j]);}//输出数组<br> if(i%2==0) {<br> System.out.println(",");}//如果1、3句输出逗号<br> else<br> {System.out.println("。");//如果2、4句输出句号<br> }<br> }<br> System.out.println("---------------------------------------");//输出一段横线<br> <br> for (int j=0;j<5;j++) {//列变行<br> for(int i=3;i>=0;i--) {//行变列,反序输出<br> System.out.print(arr[i][j]);//输出数组<br> }<br> System.out.println();//换行<br> } <br> System.out.println("。,。,");//输出标点符号<br> }} <br>
4.4 数组的基本操作
4.4.1 遍历数组
Java 的数组要求所有的数组元素具有相同的数据类型。因此,在一个数组中,数组元素的类型是唯一的,即一个数组里只能存储一种数据类型的数据,而不能存储多种数据类型的数据。<br>
4.4.2 填充和批量替换数组元素
使用fill()方法选择要填充的元素索引的范围,前包括,后不包括,然后填入要分配的元素
4.4.3 复制数组
在 Java 中实现数组复制分别有以下 4 种方法:<br>Arrays 类的 copyOf() 方法<br>Arrays 类的 copyOfRange() 方法<br>System 类的 arraycopy() 方法<br>Object 类的 clone() 方法<br><br> 使用 copyOf() 方法和 copyOfRange() 方法<br>srcArray 表示要进行复制的数组,length 表示复制后的新数组的长度。<br> <br>使用这种方法复制数组时,默认从原数组的第一个元素(索引值为 0)开始复制,目标数组的长度将为 length。如果 length 大于 srcArray.length,则目标数组中采用默认值填充;如果 length 小于 srcArray.length,则复制到第 length 个元素(索引值为 length-1)即止。<br> <br><font color="#d32f2f">注意:目标数组如果已经存在,将会被重构。</font>
<br>package boketask;<br>import java.util.Arrays;<br>public class boletask2 {<br><br> public static void main(String[] args) {<br> int arr[] = new int[] {23,43,54,32,564};//定义数组<br> int newarr[] = Arrays.copyOfRange(arr,0,3);//复制数组<br> for(int i = 0;i<newarr.length;i++) {//循环遍历赋值后的数组<br> System.out.println(newarr[i]);//将新的数组中的元素输出<br> }<br><br> }<br><br>}//使用copyof方法复制索引从0到3的元素<br><br>
<br>public class Test20 {//创建类<br> public static void main(String[] args) {//主方法<br> // 定义长度为8的数组<br> int scores[] = new int[] { 57, 81, 68, 75, 91 };<br> System.out.println("原数组内容如下:");<br> // 循环遍历原数组<br> for (int i = 0; i < scores.length; i++) {<br> System.out.print(scores[i] + "\t");<br> }<br> // 复制原数组的前5个元素到newScores数组中<br> int newScores[] = (int[]) Arrays.copyOfRange(scores, 0, 5);<br> System.out.println("\n复制的新数组内容如下:");<br> // 循环遍历目标数组,即复制后的新数组<br> for (int j = 0; j < newScores.length; j++) {<br> System.out.print(newScores[j] + "\t");<br> }<br> }<br>}//用copyOfRange方法复制索引0到5的元素的新建新数组<br><br>
用 clone() 方法 <br>clone() 方法也可以实现复制数组。该方法是类 Object 中的方法,可以创建一个有单独内存空间的对象。因为数组也是一个 Object 类,因此也可以使用数组对象的 clone() 方法来复制数组。
<font color="#d32f2f">用 arraycopy() 方法 <br></font> srcArray 表示原数组;srcIndex 表示原数组中的起始索引;destArray 表示目标数组;destIndex 表示目标数组中的起始索引;length 表示要复制的数组长度。<br> <br>使用此方法复制数组时,length+srcIndex 必须小于等于 srcArray.length,同时 length+destIndex 必须小于等于 destArray.length。<br> <br>注意:目标数组必须已经存在,且不会被重构,相当于替换目标数组中的部分元素。
4.5 数组的排序
4.5.1 算法:冒泡排序
冒泡排序(Bubble Sort)是常用的数组排序算法之一,它以简洁的思想与实现方法而备受青睐,也是广大学习者最先接触的一种排序算法。<br> <br>冒泡排序的基本思想是:对比相邻的元素值,如果满足条件就交换元素值,把较小的元素值移动到数组前面,把大的元素值移动到数组后面(也就是交换两个元素的位置),这样数组元素就像气泡一样从底部上升到顶部。<br> <br>冒泡排序的算法比较简单,排序的结果稳定,但时间效率不太高。Java 中的冒泡排序在双层循环中实现,其中外层循环控制排序轮数,总循环次数为要排序数组的长度减 1。而内层循环主要用于对比相邻元素的大小,以确定是否交换位置,对比和交换次数依排序轮数而减少。
<br>package javaProject001;//包名<br>public class BubbleSort {//创建类<br> <br> public void sort(int[] array) {<br> for(int i = 1;i<array.length;i++)<br> {for (int j=0;j<array.length-i;j++) {//比较相邻的两个元素,较大的数往后冒泡<br> if (array[j]>array[j+1]) {//如果前者比后者大则互换位置<br> int temp = array[j];//把第一个元素的值保存到临时变量中<br> array[j]=array[j+1];//把第二个元素值保存到第一个元素单元中<br> array[j+1]=temp;}//把临时变量(第一个元素的值)保存到第二个元素中<br> <br> }<br> }<br> showArray(array);}//输出冒泡后的数组元素<br> public void showArray(int[] array) {<br> System.out.println("冒泡排序结果:");<br> for (int i :array) {//遍历数组<br> System.out.println(i+" ");//输出内容<br> <br> }<br> System.out.println();//换行<br> <br> }<br> <br> public static void main(String[] args) {//主方法<br> int[] array = {63,3,12,45,54,87,21};//新建无序的数组<br> BubbleSort sorter = new BubbleSort();//调用排序方法进行排序<br> sorter.sort(array);//输出内容<br> <br> <br> }<br><br> }<br><br><br><br>
4.5.2 算法:选择排序
排序选择<br>使用选择排序法也可以对上述数组中的元素进行排序,但是它与冒泡排序不同。选择排序是指每一趟从待排序的数据元素中选出最大(或最小)的一个元素,顺序放在已排好序的数列的最后,直到全部待排序的数据元素排完。
<br>package javaProject001;//包名<br><br>public class SelectSort {//创建类<br> public void sort(int[] array) {//定义方法<br> int index;//int型变量<br> for(int i=1;i<array.length;i++) {//for循环遍历数组<br> index =0;//给变量赋值<br> for(int j=1;j<=array.length - i;j++) {<br> if (array[j] > array[index]) {//如果前一个元素比后一个元素大则位置互换<br> index = j;}}//交换位置<br> int temp = array[array.length-i];<br> array[array.length-i] = array[index];<br> array[index] = temp;}<br> showArray(array);//输出直接选择排序的数组值<br> }<br> public void showArray(int[] array) {<br> System.out.println("选择排序结果为:");<br> for (int i : array) {//遍历数组<br> System.out.println(i + " ");//输出<br> }<br> System.out.println();//换行<br> }<br> <br> public static void main(String[] args) {//主方法<br> int[] array = {23,1,55,99,56,45,32};//创建无序的数组<br> SelectSort sorter = new SelectSort();//调用排序对象将数组排序<br> sorter.sort(array);//输出数组<br> }<br><br>}<br><br>
4.5.3 Array.Sort()方法
Array,Sort(object)//object类<br><br>升序
<br>public static void main(String[] args) {//主方法<br> // 定义含有5个元素的数组<br> double[] scores = new double[] { 78, 45, 85, 97, 87 };<br> System.out.println("排序前数组内容如下:");<br> // 对scores数组进行循环遍历<br> for (int i = 0; i < scores.length; i++) {<br> System.out.print(scores[i] + "\t");<br> }<br> System.out.println("\n排序后的数组内容如下:");<br> // 对数组进行排序<br> Arrays.sort(scores);<br> // 遍历排序后的数组<br> for (int j = 0; j < scores.length; j++) {<br> System.out.print(scores[j] + "\t");<br> }<br>}<br><br>
降序<br>利用 Collections.reverseOrder() 方法//包装类
<br>package boketask;//包名<br>import java.util.Arrays;//引入方法<br>public class boketask3 {//创建类<br><br> public static void main(String[] args) {//主方法<br> int arr[] = new int [] {23,34,454,56};//new方法新建数组<br> Arrays.sort(arr);//将数组进行排序<br> System.out.println("排序后结果为:");//输出内容<br> for (int i = 0; i<arr.length;i++) {//for循环遍历数组<br> System.out.println(arr[i]+"");//输出内容<br> }<br><br> }<br><br>}<br><br>
第五章 字符串
5.1 String类
5.1.1 声明字符串
字符串常量,可以显示任何文字信息。
声明如下
String a;//声明字符串<br>String a,b;//声明字符串
5.1.2 创建字符串
1、引用字符串常量
String a = "时间就是金钱,我的朋友。";//定义string类型的字符串<br>String b = "锄禾日当午",c = "小鸡炖蘑菇";//定义a,b两个字符串<br>String str1,str2;//声明两个String类型的变量<br>str1="we are student.";//传入字符串<br>str2="I'm a student.";//传入字符串
2、 利用构造方法实例化
例如:使用new关键词创建String对象;
String a = new String ("我爱清汤小肥羊。");//用new关键字创建String对象<br>String b = new String (a);//用new关键字创建String对象
3、利用字符数组实例化
子主题例如:定义一个字符数组,并创建个字符串;
char[] a = {'t','i','m','e'};//定义字符类型数组创建一个字符串<br>String b = new String(a);//用new关键字创建String对象
4、提取字符数组中的一部分创建子字符串对象
<br>char[] a = ('时','间','就','是','金','钱');//用字符类型创建字符串<br>String b = new String(a,3,2);//定义字符串b,从索引3开始提取两个字符<br><br>
package boketask;//java包名<br><br>public class qwqw {//创建类的名字<br><br> public static void main(String[] args) {//主函数<br> String a = "时间就是金钱,我的朋友。";//直接应用字符串常量<br> System.out.println("a=" +a);//一个输出语句<br> String b = new String("我爱清汤小肥羊。");//利用构造方法实例化<br> System.out.println("b="+b);//一个输出语句<br> String c= new String(b);//使用已有字符串常量实例化<br> System.out.println("c="+c);//一个输出语句<br> char[] charArray = {'t','i','m','e'};//一个字符类型的数组创建字符串<br> String d = new String (charArray);//利用字符数组实例化<br> System.out.println("d="+d);//一个输出语句<br> char[] charArray2 = {'时','间','就','是','金','钱'};//一个字符类型的数组创建字符串<br> String e = new String(charArray2,4,2);//提取字符数组部分内容,从下标为4的元素开始,截取两个字符<br> System.out.println("e="+e);//一个输出语句<br><br> }<br><br>}<br>
运行结果如下:
5.2 连接字符串
5.2.1 连接字符串
使用“+”运算符可以实现拼接多个字符串的功能,并产生一个String对象,出来“+”运算符,“+=”运算符同样可以实现字符串拼接。<br><br>java中相连的字符串不能直接分为两行。例如
5.2.2 连接其他数据类型
字符串也可以同其他的基本数据类型进行连接。<br><br>注意:字符串在计算公式中的前后顺序会影响运算结果;
例如:
String a = "1" +2+3+4 -->"1234"//碰到字符串后,直接输出后面内容<br>String b = 1+2+3+"4" -->"64" //碰到字符串前,先做运算,后输出内容<br>String c = "1"+(2+3+4) -->"19" //碰到字符串后,先运算括号中的值,后输出内容
5.3 提取字符串信息
5.3.1 获取字符串长度
定义一个字符串num ,使用length()方法获取其长度。
5.3.2 获取指定字符
package boketask;//包名<br><br>public class hqzdzf {//创建类<br><br> public static void main(String[] args) {//主方法<br> String str = "床前明月光,疑是地上霜。";//定义字符串<br> char chr = str.charAt(4);//将字符串str中索引位置为4的字符赋值给chr<br> System.out.println("字符串中索引位置为4的字符是:"+chr);//输出chr<br> }<br>}<br>
运行结果如下:
5.3.3 获取子字符串索引位置
String类提供了两种查找字符串的方法,即indexOf()与lastIndexOf()方法。
1. indexOf(String str)
<br>语法如下:<br><br>a.indexOf(substr);//indexOf的使用方法<br><br>a:任意字符串对象<br><br>substr:要搜索的字符串<br><br>如下所示:<br><br>package boketask;//包名<br><br>public class hqzzfcweizhi {//创建类名<br><br> public static void main(String[] args) {//主方法<br> String str = "12345abcde";//创建字符串对象<br> int charIndex = str.indexOf("abc");//获取字符串str中"abc"首次出现的索引,赋值给charIndex<br> if (charIndex !=1) {//判断:index的值不等于-1<br> //如果index不等于-1,则执行这串代码,说明str中存在"abc"字符串<br> System.out.println("str中存在abc字符串");//输出内容<br> } else {//如果index=-1,则执行这串代码,说明str中不存在"abc"字符串<br> System.out.println("str中没有abc字符串");//输出内容 <br> }<br> }<br>}<br><br>运行结果如下:<br><br>
<font color="#f44336"><b>说明:</b></font><br><br>如果参数是一个字符串,返回的结果是字符串第一个字母所在位置。<br>String str = "abcdefg"; //定义一个字符串<br>str.lastInderOf("def"); //返回值是3<br><br>
2. indexOf(String str,int fromIndex)<br>
从指定的索引 fromIndex 开始至字符串最后,返回指定子字符串中第一次出现处的索引。<br><br>如果没有检索到字符串str,该方法返回的值为-1。
<br>语法如下:<br><br>a.indexOf(str,fromIndex);//该方法的使用格式<br><br> 解释说明:<br><br>a:任意字符对象<br><br>str:要搜索的子字符串<br><br>fromIndex:开始搜索引的位置<br><br>例:<br><br>package boketask;//包名<br><br>public class PIPIPI {//创建类<br><br> public static void main(String[] args) {//主方法<br> String str = "we are the world";//定义一个字符串<br> int firstIndex = str.indexOf("r");//获取字符串中r第一次出现的索引位置<br> //获取字符串中r第二次出现的索引位置,从r第一次出现的索引位置开始查找<br> int secondIndex = str.indexOf("r",firstIndex+1);//获取字符串中r第二次出现的索引位置<br> //获取字符串中r第三次出现的索引位置,从r第二次出现的索引位置开始查找<br> int thirdIndex = str.indexOf("r",secondIndex+1);//获取字符串中r第三次出现的索引位置<br> //输出三次获取的索引位置<br> System.out.println("r第一次出现的索引位置是:"+firstIndex);//输出r第一次出现的索引位置<br> System.out.println("r第二次出现的索引位置是:"+secondIndex);//输出r第二次出现的索引位置<br> System.out.println("r第三次出现的索引位置是:"+thirdIndex);//输出r第三次出现的索引位置<br> }<br><br>}<br><br>运行结果:<br><br>
<b><font color="#e57373">代码注解:</font></b>
从运行结果可以看出,由于字符串只有两个“r”,所以程序输出了这两个“r”的索引位置,
第三次搜索是找不到“r”,所以返回结果为-1。
3. public int lastIndexOf(String str)
<br>返回指定子字符串在此字符串中最右边出现处的索引,语法如下:<br><br>a.lastIndexOf(atr);//该方法的使用格式<br><br>解释说明:<br><br>a:任何字符串。<br><br>str:要搜索的字符串。<br><br>例子:<br><br>package boketask;//包名<br><br>public class StringLastIndexOf {//创建类<br><br> public static void main(String[] args) {//主方法<br> String str = "Let it go!Let it go!";//创建字符串对象<br> int gIndex = str.lastIndexOf("g");//返回“g”最后一次出现的位置<br> int goIndex = str.lastIndexOf("go");//返回“go”最后一次出现的位置<br> int oIndex = str.lastIndexOf("o");//返回“o”最后一次出现的<br> System.out.println("字符串\"Let in go!Let it go!中:\n");//输出提示内容<br> System.out.println("\"g\"最后一次出现的位置是:" + gIndex);//输出“g”最后一次出现的位置<br> System.out.println("\"o\"最后一次出现的位置是:" + oIndex);//输出“o”最后一次出现的位置<br> System.out.println("\"\"go最后一次出现的位置是:" + goIndex);//输出“go”最后一次出现的位置<br> }<br><br>}<br><br>运行结果:<br><br>
4. lastIndexOf(String str,int fromIndex)
<br>返回指定子字符串在此字符串中最后一次出现处的索引,从指定的索引开始反向搜索。<br><br>语法如下:<br><br>a. lastIndexOf(str,fronIndex);//该方法使用格式<br><br>解释说明:<br><br>a:任意字符串。<br><br>str:要搜索的子字符串。<br><br>fromIndex: 开始搜索的索引位置。<br><br>例如下面的代码:<br><br>运行结果如下:<br><br>package boketask;//包名<br><br>public class StringLastIndexOf2 {//创建类<br><br> public static void main(String[] args) {//主方法<br> String str = "01a3a56a89";//创建字符串对象<br> int lastIndex = str.lastIndexOf("a");//返回字母“a”最后一次出现的索引位置<br> //返回字母“a”的索引位置otheerIndex<br> //满足0<=fiveBeforeIndex<=5条件,在满足条件的结果集中,返回最大的数字<br> int fiveBeforIndex = str.lastIndexOf("a",5);<br> //返回字母“a”的索引位置otherIndex<br> //满足0<=threeBeforIndex<=3条件,在满足条件的结果集中,返回最大的数字<br> int threeBeforIndex = str.lastIndexOf("a",3);<br> System.out.println("字符串\"01a3a56a89\"中:\n");//输出括号内的内容<br> System.out.println("字母\"a\"最后一次出现的位置是:"+ lastIndex);<br> System.out.println("从索引5开始往回搜索,字母\"a\"最后一次出现的位置:"+ fiveBeforIndex);<br> System.out.println("从索引3开始往回搜索,字母\"a\"最后一次出现的位置" + threeBeforIndex);<br> <br><br> }<br><br>}<br><br> 运行结果如下:<br><br>
5.3.4 判断字符串首尾内容
startWith()方法和 endsWith()方法分别用于判断字符串是否以指定内容开始或结束。<br><br>这两个方法返回的值都是boolean类型。
1. startWith(String prefix)
<br>package javaProject001;//包名<br><br>public class StringStartWith {//创建类<br><br> public static void main(String[] args) {//主方法<br> String myDream1 = "我有一个梦想,幽谷上升,高山下降;";//前半句,创建字符串对象<br> String myDream2 = "坎坷曲折之路成坦途,圣光披露,满照人间。";//后半句 创建字符串对象<br> // 打印整句话<br> System.out.println(myDream1+myDream2 + "\n——马丁·路德金《我有一个梦想》\n");<br> boolean firstBool = myDream1.startsWith("我有一个梦想");//判断前半句是否以“我有一个梦想”为前缀<br> boolean secondBool = myDream2.startsWith("我有一个梦想");//判断后半句是否以“我有一个梦想”为后缀<br> if (firstBool) {<br> System.out.println("前半句是以\"我有一个梦想\"开始的。");//判断前半句逻辑结果<br> }else if (secondBool) {<br> System.out.println("后半句是以\"我有一个梦想\"开始的。");//判断前半句逻辑结果<br> }}<br> }<br><br><br><br>
结果如下:<br><br>
2. startWith(String prefix,int tooffset)
<br>该方法用于判断从指定索引开始的子字符串是否以指定的前缀开始。<br><br>语法如下:<br><br>str.startWith(prefix,index);//该方法使用方式<br><br> 解释说明:<br><br>str:任意字符串。<br><br>prefix:作为前缀的字符串。<br><br>index:开始查找的位置。<br><br>例:<br><br>package javaProject001;//包名<br><br>public class StringStartWith2 {//创建类<br><br> public static void main(String[] args) {//主方法<br> String str = "床前明月光,疑是地上霜。\n举头望明月,低头思故乡。";//创建字符串对象<br> System.out.println(" 《静夜思》 \n" +str+"\n");//打印古诗<br> int enterIndex = str.indexOf("\n");//返回换行符所在的位置<br> boolean flag = str.startsWith("举",enterIndex);//返回换行符之后开始的子字符串前缀是否为“举”<br> if (flag) {<br> System.out.println("第二行是以\"举\"开始的");//如果结果为真,则输出此句<br> }else {<br> System.out.println("第二行是以\""+str.charAt(enterIndex + 1)+"\"开始的");<br> //如果结果为假,则输出第二行开头的第一个字符<br> <br> }<br> }<br><br>}<br><br> 运行结果如下:<br><br>
3. endsWith(String suffix)
<br>该方法判断字符串是否以指定的后缀结束。<br><br>语法如下:<br><br>str.endsWith(suffix);//该方法的使用格式<br><br>解释说明:<br><br>str :任意字符串。<br><br>suffix:指定的后缀字符串。<br><br>例:<br><br>package javaProject001;//包名<br><br>public class StringEndsWith {//创建类<br><br> public static void main(String[] args) {//主方法<br> String str1 = "你说完了吗?";//创建字符串对象<br> String str2 = "我说完了。";//创建字符串对象<br> boolean flag1 = str1.endsWith("。");//判断str1是否以“。”结尾<br> boolean flag2 = str2.endsWith("。");//判断str2是否以“。”结尾<br> System.out.println("字符串str1是以句号结尾的吗?"+flag1);//输出结果<br> System.out.println("字符串str2是以句号结尾的吗?"+flag2);//输出结果<br> }<br>}<br> 运行结果如下:<br><br>
5.3.5 获取字符数组
toCharArray()方法可以将一个字符串转化为一个字符数组。
例:<br><br>package javaProject001;//包名<br> <br>public class StringToArray {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "这是一个字符串";//创建字符串对象<br> char[] ch = str.toCharArray();//将字符串转化为字符数组<br> for (int i = 0;i<ch.length;i++) {//遍历字符数组<br> System.out.println("数组第"+ i +"个元素为:"+ ch[i]);//输出数组的元素<br> <br> }<br> }<br> <br>}<br>运行结果如下:<br><br>
语法如下:<br><br>str.toCharArray();//此方法使用格式<br> 其中,str表示任意字符串。
5.3.6 判断子字符串是否存在
contains()方法可以判断字符串中是否包括指定的内容
例:<br><br>package javaProject001;//包名<br> <br>public class zszszsxd {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String a = "今日的菜单有:蒸羊羔,蒸熊掌,蒸鹿尾,烤花鸭,烧雏鸡,烧子鹅,卤煮咸鸭,酱鸡,腊肉,松花小肚";//创建字符串对象<br> System.out.println(a);//输出字符串<br> boolean request = a.contains("腊肉");//判断字符串中是否有“腊肉”的字样<br> System.out.println("今天有腊肉吗?" +request);//输出内容<br> boolean request1 = a.contains("汉堡");//判断字符串中是否有“汉堡”的字样<br> System.out.println("今天有汉堡吗?" + request1);//输出内容<br> }<br> }<br>运行结果如下:<br><br>
语法如下:<br><br>str.contains (String);//该方法的使用方式<br>解释说明:<br><br>str:任意字符串。<br><br>String:查询的子字符串。
5.4 字符串的操作
5.4.1 截取字符串
1.subString(int bginIndex)<br><br>该方法返回一个新的字符串,它是此字符串的一个子字符串。该字符串从指定索引处的字符开始,直到此字符串末尾。
例:<br><br>package javaProject001;//包名<br> <br>public class StringSub {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "为革命保护视力,眼保健操开始。";//创建字符串对象<br> String substr = str.substring(8);//从第八位截取字符串<br> System.out.println("字符串str的后半句是:"+ substr);//输出内容<br> }<br> <br>}<br>运行结果如下:<br><br>
语法如下:<br><br>str.substring(beginIndex);//此方法的使用方式<br>解释说明:<br><br>str:任意字符串。<br><br>beeginIndex:起始索引(包括)。
2. subString(int beginIndex,int endIndex)<br><br>该方法返回一个新字符串,它是此字符串的一个子字符串。该子字符串从指定的 beginIndex 开始,直到索引 endIndex-1处的字符。
例:<br><br>package javaProject001;//包名<br> <br>public class StringSub2 {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "闭门造车,出门踩屎。";//创建字符串对象<br> String substr = str.substring(0,4);//从0开始截取值4-1索引位置的子字符串<br> System.out.println("字符串str的前半句是:" + substr);//输出内容<br> }<br> <br>}<br>运行结果如下:<br><br>
语法如下:<br><br>str.substring(beginIndex,endIndex);//该方法的使用方式<br>解释说明:<br><br>str:任意字符串。<br><br>beginIndex:开始索引(包括)。<br><br>endIndex:结束索引(不包括)。
5.4.2 字符串替换
1. replace(CharSequence target,CharSequence repalcement)<br><br>该方法可以实现将指定的字符替换成新的字符序列。CharSequence 是一个接口,代表一个可读的字符序列,String、StringBuffer、StringBuilder 都实现了这个接口,所以可以直接将字符串当成参数。<br>
例:<br><br>package javaProject001;//包名<br> <br>public class Stringreplace {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "明月几时有,把酒问青天。";//创建字符串对象<br> String restr = str.replace("月", "日");//将str中的“月”全部替换成“日”<br> System.out.println("字符串str替换后的效果:"+restr);//输出内容<br> }<br> <br>}<br>运行结果如下:<br><br>
注意:<br>如果要替换的字符oldstr在字符串中重复出现多次,replace)方法会将所有oldstr全部替换成newstr。例如 String str = "java project";<br>String str2 = str.replace("j","J");此时,str2 的值为Java proJecto<br>需要注意的是,要替换的字符oldstr的大小写要与原字符串中字符的大小写保持一致,否则不能成<br><br>功地替换例如,上面的实例如果写成如下语句,则不能成功替换。<br><br>String str = "java project";<br>String str3 = str.replace("P","t");<br>
语法如下:<br><br>str.replace(oldstr,newstr);//该方法的使用方式<br>解释说明:<br><br>str:任意字符串。<br><br>oldstr:要被替换的字符序列。<br><br>newstr:替换后的字符序列。<br><br>replcace()方法返回的是一个新的字符串,如果字符串str中没有找到需要被替换的子字符序列oldstr,则将原字符串返回。<br>
2.replaceAll(String regex,String replacement)<br>该方法可以实现将指定的字符串替换成新的字符串,支持正则表达式。
例如,“ild”示数字0-9中的任何一个,“\ld”就是元字符<br>例:分别使用replace0方法和replaceA110方法,利用正则表达式将字符串中所有的数字的<br>换成“?”。<br><br>package javaProject001;//包名<br> <br>public class StringReplaceAll {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "0123456789abc\\d";//创建字符串对象<br> String restr = str.replace("\\d", "?");//使用replace()将符合"\\d"的表达式字符串替换“?”<br> String restrAll = str.replaceAll("\\d","?");//使用replace()将符合"\\d"的表达式字符串替换“?”<br> //输出结果<br> System.out.println("字符串str:"+str);//输出结果<br> System.out.println("使用replace()替换的结果:"+restr);//输出结果<br> System.out.println("使用replaceAll()替换的结果:"+restrAll);//输出结果<br> }<br> }<br>运行结果如下:<br>
<font color="#f44336">代码注解:</font><br>从这个运行结果可以直观地看出,replace()方法不知道"lld"表达式代表的含义,只是将"lld"当成一个子字符串在str中替换成了"?";而replaceA110知道正则表达式的含义,将所有的数字替换成了"?",但对于字符串中出现的子字符串"lld"没有做任何操作。<br><br>
语法如下:<br> <br><br>str.replaceAll(regex,replacement);//该方法的使用方式<br>解释说明:<br><br>str:任意字符串。<br>regex:被替换的字符串或正则表达式。<br><br>replacement:替换后的字符串<br>则表达式是含有一些具有特殊意义字符的字符串,这些特殊字符称为正则表达式的元字符。<br>
3. replaceFirst(String regex,String replacement)<br>该方法可以实现将第一个指定的字符串替换成新的字符串,支持正则表达式。
例5.18 现有字符串"8I want to marry you,so I need you!",去掉第一个数字,再把第一次出现的"you"替换成"her"。<br><br>package javaProject001;//包名<br> <br>public class StringReplaceFirst {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "8I want to marry you, so I need you!";//创建字符串对象<br> String noNumber = str.replaceFirst("\\d", "");//将开头的数字替换成两个双引号“”<br> String youToHer = noNumber.replaceFirst("you", "her");//将第一次出现的“you”替换成“her”<br> System.out.println("替换之后的结果是:" +youToHer);//输出结果<br> <br> }<br> <br>}<br>运行结果如下:<br><br>
str.replaceFirst(regex,replacement);//该方法的使用方式<br> 解释说明:<br><br> str:任意字符串。<br> regex:第一个被替换的字符串或正则表达式。<br><br> replacement:替换后的字符串。
5.4.3 字符串分割
1. split (String regex)<br><br>该方法可根据给定的分隔符对字符串进行拆分,支持正则表达式,最后返回一个字符串数组。
例:创建一个字符串,用“,”分割<br><br>package javaProject001;//包名<br> <br>public class StringSplit {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "从前有座山,山里有个庙,庙里有个小松鼠。";//创建字符串对象<br> String[] strArray = str.split(",");//让字符串按照“,”进行分割<br> for (int i = 0; i<strArray.length;i++)//使用for循环,循环输出数字所有元素<br> {<br> System.out.println("数组第" + i + "索引的元素是:" +strArray[i]);//输出内容<br> }<br> }<br> <br>}<br>运行结果如下:<br>
语法如下:<br><br>str.split(regex);//该方法的使用方式<br>解释说明:<br><br>str:任意字符串。<br><br>regex:分隔符表达式。
<font color="#f44336">如果想定义多个分隔符,可以使用符号“|”。如果用“|”分割字符串,需要用到转义字符“\\|”。</font>
例:同时使用不同的分隔符分割同一个字符串。<br><br>package javaProject001;//包名<br> <br>public class StringSplit2 {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "a1b2,c,d e f|gh";//创建字符串对象<br> String[] a1 = str.split(",");//使用“,”分隔<br> String[] a2 = str.split(" ");//使用“ ”分隔<br> String[] a3 = str.split("\\|");//使用“|”分隔<br> String[] a4 = str.split("\\d");//使用正则表达式分割,本行用数字分割<br> String[] a5 = str.split(",| |\\||\\d");//同时使用“,”、“空格”、“|”、数字分割,用“|”连接所有分隔符<br> System.out.println("str的原值:"+str);//显示str原值<br> System.out.println("使用\",\"分割:");//输出内容<br> for(String b:a1) {//使用for-each循环展示结果<br> System.out.print("["+b+"]");//输出,分割后的结果<br> }<br> System.out.println();//换行<br> System.out.println("使用空格分割:");//输出内容<br> for(String b:a2) {//使用for-each循环展示结果<br> System.out.print("["+b+"]");//输出,分割后的结果<br> }<br> System.out.println();//换行<br> System.out.println("使用\"|\"分割:");<br> for(String b:a3) {//使用for-each循环展示结果<br> System.out.print("["+b+"]");//输出,分割后的结果<br> }<br> System.out.println();//换行<br> System.out.println("使用数字分割:");<br> for(String b:a4) {//使用for-each循环展示结果<br> System.out.print("["+b+"]");//输出,分割后的结果<br> }<br> System.out.println();//换行<br> System.out.println("同时使用所有分隔符:");//使用for-each循环展示数字分割结果<br> for(String b:a5) {//使用for-each循环展示结果<br> System.out.print("["+b+"]");//输出,分割后的结果<br> }<br> System.out.println();//换行<br> <br> }<br> <br>}<br> 运行结果如下:<br><br>
5.4.4 大小写转换
1. toLowerCase()<br><br>该方法将String转换为小写,如果字符串中没有应被转换的字符,则将原字符串返回;否则将返回一个新的字符串,将原字符串中每个可进行小写转换的字符都转换成等价的小写字符,字符串长度与原字符串长度相同。
例:将字符串“abc DEF”分别用大写、小写两种格式输出。<br><br>package javaProject001;//包名<br> <br>public class StringTransform {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = "abc DEF";//创建字符串对象<br> System.out.println(str.toLowerCase());//按照小写格式输出<br> System.out.println(str.toUpperCase());//按照大写格式输出<br> }<br> }<br>运行结果如下:
语法如下:<br><br>str.toLowerCase();//该方法的使用方式<br>其中 str代表任意字符串。
2. toUpperCase()<br><br>该方法将String转换为大写,如果字符串中没有应被转换的字符,则将原字符串返回;否则将返回一个新的字符串,将原字符串中每个可进行大写转换的字符都转换成等价的大写字符,字符串长度与原字符串长度相同。
语法如下:<br><br>str.toUpperCase();//该方法的使用方式<br>其中 str代表任意字符串。
5.4.5 去除空白内容
trim()方法可以返回字符串的副本,忽略首尾处空白。语法如下:<br><br>str.trim();//该方法的使用方式<br>其中str代表任意字符串。
例:使用trim()方法去掉字符串两边的空白内容。<br><br>package javaProject001;//包名<br> <br>public class StringTrim {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String str = " abc ";//创建字符串对象<br> String shortStr = str.trim();//使用trim()方法 处<br> System.out.println("str的原值是:["+str+"]");//输出str的原值<br> System.out.println("去掉首尾空白的值:["+ shortStr +"]");//输出去除空白后的值<br> <br> }<br> <br>}<br>运行结果如下:<br><br>
5.4.6 比较字符串是否相等
对字符串对象进行比较不能简单的使用比较运算符“==”,因为比较运算符比较的是两个字符串的内存地址是否相同,因为即使两个字符串的文本值相同,两个对象的内存地址也可能不同,所以使用比较运算符会返回false.
例:使用比较运算符计较两个字符串。<br><br>package javaProject001;//包名<br> <br>public class StringCompare {//创建类<br> <br> public static void main(String[] args) {//主方法<br> String a,b;//引入字符串常量<br> a = "I am a student";//给a赋值<br> b = "I am a student";//给b赋值<br> System.out.println("直接引入字符串常量的比较结果:"+ (a==b));//直接引入字符串常量的比较<br> a = new String("I am a student");//使用new创建对象<br> b = new String("I am a student");//使用new创建对象<br> System.out.println("使用new创建对象的比较结果:"+ (a==b));//使用new创建对象的比较<br> }<br> }<br>运行结果如下:<br><br>
5.4.7 格式化字符串
(1) format(String format,Object...args)<br>
该方法使用指定的格式字符串和参数返回一个格式化字符串,格式化后的新字符串使用本地默认的语言环境。
<br>语法如下:<br><br>str.format(String format,Object ...args)//该方法的使用方式<br><br>解释说明:<br><br>format:格式化字符串。<br><br>args :格式字符串中由格式说明符引用的参数。如果还有格式说明符以外的参数,则忽略这些额外的参数。此参数的数目是可变的,可为0。<br><br>
(2)format(Local 1,String format,Object...args)
1:格式化过程中要应用的语言环境。如果1为null,则不进行本地化。<br><br>format:格式化字符串。。<br><br>args:格式化字符串中有格式说明符引用的参数。如果还有格式说明符以外的参数,则忽略这些额外的参数。此参数的数目是可变的,可为0。
常规类型格式化<br><br>常规类型格式化可应用于他人和类型参数,可以通过下表的转换符来实现。
5.5 可变字符串
5.5.1 StringBuffer类的常用方法
<br>StringBuffer sbf=new StringBuffer();//创建StringBuffer对象<br>StringBuffer sbf=new StringBuffer("abc");//创建对象并传入值<br>StringBuffer sbf=new StringBuffer(32);//创建对象并传入值<br><br>
2.append()方法
<br>将参数转换成字符串,将所有字符串中的字符追加到此序列中。<br><br>str.append(obj);//该方法的使用方法<br><br>解释说明:<br>sbf:任意StringBuffer对象<br><br>obj:任意数据类型的对象,使append()方法都转变成字符串的表示形式。<br><br>public static void main(String[] args) {<br> StringBuffer sbf=new StringBuffer("门前大桥下,");//创建StringBuffer对象<br> sbf.append("游过一群鸭,");//追加字符串常量<br> StringBuffer tmp=new StringBuffer("快来快来数一数,");//追加StringBuffer对象<br> sbf.append(tmp);//追加字符串常量<br> int x=24678;//定义一个整型常量<br> sbf.append(x);//追加字符串常量<br> System.out.println(sbf.toString());//输出<br> }<br><br><br>
3.setCharAt(int index,char ch)方法
<br>将给定索引处的字符修改成ch.<br><br>sbf.setCharAt(index,ch);//该方法的使用方法<br><br>解释说明:<br>sbf:任意StringBuffer对象<br><br>index:被替换字符的索引<br><br>替换后的字符<br><br>public static void main(String[] args) {<br> StringBuffer sbf=new StringBuffer("0123456");//创建StringBuffer对象<br> System.out.println("sbf的原值是:"+sbf);//输出信息<br> sbf.setCharAt(3, 'A');//将索引为3的字符改成‘A’<br> System.out.println("修改后的值是:"+sbf);//输出信息<br> <br> }<br><br><br>
4.insert(int offset,String str)方法
<br>将字符串插入此字符序列中<br><br>sbf.insert(offset,str);//该方法的使用方法<br><br>解释说明:<br>sbf:任意StringBuffer对象<br><br>offset:插入的索引<br><br>str:插入的字符串<br><br>public class test35 {<br> <br> public static void main(String[] args) {<br> StringBuffer sbf=new StringBuffer("0123456");//创建StringBuffer对象<br> System.out.println("sbf的原值为:"+sbf);//输出信息<br> sbf=sbf.insert(5, "F");//在索引为5的位置插入“F”,将返回值赋给sbf自己<br> System.out.println("修改之后的值为:"+sbf);//输出信息<br> <br> }<br> <br>}<br><br> <br><br>
5.reverse()方法
<br><br>sbf.reverse();//该方法的使用方法<br><br>例:<br><br>public static void main(String[] args) {<br> StringBuffer sbf=new StringBuffer("同一个世界,同一个梦想");//创建一个StringBuffer对象<br> System.out.println("sbf的原值为:"+sbf);//输出信息<br> sbf=sbf.reverse();//将字符序列sbf反转<br> System.out.println("修改之后的值为:"+sbf);//输出信息<br> <br> }<br><br><br>
6.delete(int start,int end)方法
<br>sbf.delete(start,end);<br>sbf:任意StringBuffer对象<br><br>start:起始索引<br><br>end:结束索引<br><br>例:<br><br>public static void main(String[] args) {<br> StringBuffer sbf=new StringBuffer("天行健,君子以自强不息");//创建StringBuffer对象<br> System.out.println("sbf的原值为:"+sbf);//输出信息<br> sbf=sbf.delete(4, 7);//删除从索引4开始至索引7之前的内容<br> System.out.println("删除之后的值为:"+sbf);//输出信息<br> <br> }<br><br><br>
5.5.2 StringBuilder类的使用方法
public static void main(String[] args) {<br> StringBuffer sbd=new StringBuffer();//创建一个StringBuffer对象<br> System.out.println("sbd的原值为空");//输出信息<br> sbd.append("我是StringBuffer类");//追加字符串<br> System.out.println("sbd追加字符串:"+sbd);//输出信息<br> int length=sbd.length();//获取sbd字符串的长度<br> System.out.println("sbd的长度为:"+length);//输出信息<br> sbd=sbd.insert(length-1, "123456");//插入字符串<br> System.out.println("插入字符串:"+sbd);//输出<br> sbd=sbd.delete(sbd.length()-1,sbd.length());//删除字符串<br> System.out.println("删除最后一个字:"+sbd);//输出<br> sbd=sbd.reverse();//反序输出<br> System.out.println("反序输出:"+sbd);//输出<br> <br> }
5.5.3 StringBuffer、StringBuilder、String 之间的关系
<br>类名 对象类型 执行效率 线程安全性<br><br>String 指向另外的空间 常量 慢 不安全<br><br>StringBuffer 指向在原来的基础上添加 变量 中 有锁 安全<br><br>Stringbuilder 在原来的基础上添加 变量 快 无 锁 不安全
第六章 面向对象编程基础
面向对象概述
对象
在面向对象中,类和对象是最基本、最重要的组成单元。类实际上是表示一个客观世界某类群体的一些基本特征抽象。对象就是表示一个个具体的东西。所以说类是对象的抽象,对象是类的具体。
类
类是实体对象的概念模型,因此通常是笼统的、不具体的。关于类和对象,初学者在理解上是存在一定难度的。<br>类是 Java 中的一种重要的引用数据类型,也是组成 Java 程序的基本要素,因为所有的 Java 程序都是基于类的
面向对象程序设计的特点
类是实体对象的概念模型,因此通常是笼统的、不具体的。关于类和对象,初学者在理解上是存在一定难度的。<br>类是 Java 中的一种重要的引用数据类型,也是组成 Java 程序的基本要素,因为所有的 Java 程序都是基于类的
类与对象
成员变量
在java中对象的属性称为成员变量<br><br>数据类型 变量名称 [=值];
成员方法
在java语言中,成员方法对于类对象的行为,它主要用来定义类可执行的操作,它是包含一系列语句的代码块。<br><br>成员方法的定义<br><br>[权限修饰符] [返回值类型] 方法名 ([参数类型 参数名]) [throws 异常类型]{<br>...//方法体<br>return 返回值;<br>}<br>
构造方法
在类中除了成员方法之外,还存在一种特殊类型的方法,那就是构造方法。构造方法是一个与类同名的方法,对象的创建就是通过构造方法完成的。 <br><br>构造方法的特点如下:<br><br>(1)构造方法没有返回类型,也不能定义为void。<br><br>(2)构造方法的名称要与本类的名称相同。<br><br>(3)构造方法的主要作用是完成对象的初始化工作,它能把定义对象的参数传给对象成员。<br>
局部变量
局部变量<br>如果在成员方法内定义一个变量,那么这个变量被称为局部变量。<br><br>局部变量在方法被执行时创建,在方法执行结束时销毁。局部变量在使用时必须进行赋值操作或则被初始化,否则会出现编译错误。<br><br>public String getName(){//定义一个getName()方法<br>int id=0;//局部变量<br>setName("java");//调用类中其他方法<br>return id+this.name;//设置方法返回值<br>
<font color="#f44336"><b>说明</b></font>:类成员变量和成员方法可以统称为类成员。如果一个方法中含有与成员变量同名的局部变量,则方法中对这个变量的访问以局部变量进行。<br><br>局部变量的有效范围<br>局部变量的有效范围从该变量的声明开始到该变量的结束为止。<br><br>在相互不嵌套的作用域中可以同时声明两个名称和类型相同的局部变量。但是相互嵌套不能。<br>
局部变量的有效范围
局部变量的有效范围从该变量的声明开始到该变量的结束为止。<br><br>在相互不嵌套的作用域中可以同时声明两个名称和类型相同的局部变量。但是相互嵌套不能。<br>
对象的创建
在java语言中通过new操作符来创建对象。前文在讲解构造方法时介绍过。<br><br>语法如下:<br><br>Test test=new Test();<br>Test test=new Test("a");<br>Test:类名。<br>解释说明: <br><br>test:创建Test类对象<br><br>new:创建对象操作符。<br><br>a:构造方法的参数。<br><br>test对象被创建出来时,就是一个对象的引用,这个引用在内存中为对象分配了存储空间,<br>
访问对象的属性和行为
用户在使用new操作符创建一个对象后,可以使用“对象.类成员”来获取对象的属性和行为。前面提到,对象的属性和行为在类中通过类成员变量和成员方法的形式来表示,所以当对象获取类成员时,也相应地获取对象的属性和行为。
对象的销毁
每个对象都有生命的周期,当对象的生命周期结束时,分配给该对象的内存地址会被回收。在其它语言中需要手动回收废弃的对象,但在Java拥有一套完整的垃圾回收机制,用户不必担心废弃的对象占用内存,垃圾回收站将回收无用的但占用内存的资源。<br><br>何种对象会被Java虚拟机视为垃圾。<br><br>(1)对象引用超出其作用范围,这个对象将被视为垃圾<br><br>(2)将对象赋值为null。<br><br>finalize()方法可进行垃圾回收但不一定会发生<br><br>System.gc()方法强制启动垃圾回收器。 <br>
this 的关键字
static 关键字
static关键字<br>由static修饰的变量、常量和方法被称作静态变量、静态常量 、静态方法,也被称为类的静态成员。静态成员是属于类所有的。区别于个别对象。
静态变量:把共享的变量用static 修饰,该变量就是静态变量。<br>类名.静态类成员
说明:当类首次被加载时,静态变量就被分配到内存中,直到程序结束才会释放。
静态常量<br>final static 数据类型 变量名=值;
注意:给静态常量赋值时所有的字母都应该大写。
静态方法<br>类名.静态方法();
静态代码块<br>在类中除成员方法之外,用static修饰代码块可以称之为静态代码块。定义一块静态代码块,可以完成类的初始化操作,在类声明时就会运行.
<font color="#f44336">说明:<br></font><br>(1)静态代码块由始至终只运行一次<br><br>(2)非静态代码块,每创建对象时候,会在构造方法之前运行。所以读取成员变量时,只能获取到默认值null。
类的主方法
<br>public static void main(String[]args){<br>//方法体<br>}<br>说明:<br>(1)主方法是静态的,所以如要直接在主方法中调用其他方法,则该方法必须是静态的。<br><br>(2)主方法没有返回值。<br><br>(3)主方法的形参为数组。其中args[0]~args[n]分别代表程序的第一个参数到第n+1个参数,可以使用args.length获取参数的个数。<br>
第七章 面向对象核心技术
类的封装
<br>封装将类的某些信息隐藏在类内部,不允许外部程序直接访问,只能通过该类提供的方法来实现对隐藏信息的操作和访问。例如:一台计算机内部极其复杂,有主板、CPU、硬盘和内存, 而一般用户不需要了解它的内部细节,不需要知道主板的型号、CPU 主频、硬盘和内存的大小,于是计算机制造商将用机箱把计算机封装起来,对外提供了一些接口,如鼠标、键盘和显示器等,这样当用户使用计算机就非常方便。<br><br>封装的特点:<br> <br>只能通过规定的方法访问数据。<br>隐藏类的实例细节,方便修改和实现。<br>实现封装的具体步骤如下:<br> <br>修改属性的可见性来限制对属性的访问,一般设为 private。<br>为每个属性创建一对赋值(setter)方法和取值(getter)方法,一般设为 public,用于属性的读写。<br>在赋值和取值方法中,加入属性控制语句(对属性值的合法性进行判断)。<br><br>
类的继承
继承在面向对象开发思想中是一个非常重要的概念,它使整个程序具有一定的弹性,在程序中复用已经定义完善的类不仅可以减少软件开发周期,还可以提高软件的可维护性和可扩展性。<br><br>继承其基本思想是基于某父类的扩展,制定出一个新的子类,子类可以继承父类原有的属性和方法,也可以增加原来父类所不具备的属性和方法,或者直接重写父类中的某些方法。<br>
<font color="#d32f2f">1.extends关键字<br></font>在java中,让一个类继承另一个类,用extends关键字<br><br>child extends parents//子类继承父类<br>注意:java中的类只支持单继承,即一个子类只能继承一个父类,类似下面的代码是错误的:<br><br>child extends parents1,parent2{<br>//错误的继承语法<br>}<br>注意:java中的类只支持单继承,即一个子类只能继承一个父类,类似下面的代码是错误的:<br>
<br>
方法的重写<br>继承并不只是扩展父类的功能,还可以重写父类的成员方法。重写(还可以称为覆盖)就是在子类中将父类的成员方法的名称保留。重新编写成员方法的实现内容,更改成员方法的存储权限,或是修改成员方法的返回值类型 (重写父类成员方法的返回值是基于J2SE 5.0版本以上的编译器提供的新功能)。<br><br>在继承中还有一种特殊的重写方式,子类与父类的成员方法返回值、方法名称、参数类型及个数完全相同,唯一不同的是方法实现内容,这种特殊重写方式被称为重构。<br><br>注意:当重写父类的方法时,修改方法的修饰权限只能从小的范围到大的范围改变,例如,父类中的doSomething()方法的修饰权限为protected,继承后子类中的方法doSomething()的修饰权限只能修改为public,不能修改为private。<br>
super关键字<br>super关键字可以调用父类的方法和属性,它的使用方法和this关键字相似。但this关键字代表本类的对象,super关键字带调用的是父类的方法<br><br>super.property;//调用父类的属性<br>super.method();//调用父类的方法<br>
Object类——所有类的父类<br>在java中,所有的类都直接或间接继承了java.lang.Object类。Object类是所有类的父类,是java类层中的最高层类。<br><br>注意:Object类中的getClass()、notify()、notifyAll()、wait()等方法不能被重写,因为这些方法被定义为final类型。<br><br>1.getClass()方法<br>getClass()方法是Object类定义的方法,它会返回对象执行时的Class实例,然后使用此实例调用getName ()方法可以取得类的名称。<br><br>getClass().getName();//调用getClass()里的getName()方法<br>可以将getClass()方法与toString()方法联合使用。<br><br>2.toString()方法<br>toString()方法的功能是将一个对象返回为字符串形式,它会返回一个String实例。在实际的应用中通常重写toString()方法。<br> <br><br>public class ObjectInstance {创建类<br>public String toString(){//重写toString()方法<br> return "在"+getClass().getName()+"类中重写toString()方法";//返回值<br>}<br> public static void main(String[] args) {//主方法<br> System.out.println(new ObjectInstance());//调用方法并输出,打印本类对象<br> }<br> <br>}<br>运行结果如下:<br><br><br><br> 3.equals()方法<br>比较两个对象的实际内容。 <br><br>class V{//自定义类V<br> <br>}<br>public class OverWriteEquals {//创建一个方法<br> <br> public static void main(String[] args) {//主方法<br> String s1="123";//实例化两个对象,内容相同<br> String s2="123";//实例化对象<br> System.out.println(s1.equals(s2));//使用equals()方法<br> V v1=new V();//实例化两个V类对象<br> V v2=new V();//实例化对象<br> System.out.println(v1.equals(v2));//使用equals()方法<br> }<br> <br>}<br>运行结果如下:<br><br><br>
类的多态
类的多态性指“一种定义,多种实现”,类的多态性可以从两方面 体现:方法的重载,类的上下转型。<br><br> 方法的重载:重载(不需要继承):返回参数不同、传入参数不同、 方法名相同
<font color="#d32f2f"><b>注意:虽然在方法的重载中可以使两个方法的返回类型不同,但只有返回类型不同不足以区分两个方法的重载,还需要通过参数的个数以及参数的类型来设置。</b></font>
抽象类与接口
抽象类与抽象方法
使用抽象类和抽象方法时,需要遵守以下原则:<br><br>1、在抽象类中,可以包含抽象方法,也可以不包含抽方法,但是包含了抽象方法的类必须被定义为抽象类。<br><br>2、抽象类不能直接实例化,即使抽象类中没声明抽象方法,也不能实例化。<br><br>3、抽象类被继承后,子类需要实现其中所有的抽象方法。<br><br>4、如果继承抽象类的子类也被声明为抽象类,则可以不用实现父类中所有的抽象方法。<br>
接口的声明及实现
接口是抽象类的延申,可以将它看作是纯粹的抽象类,接口中的所有方法都没有方法体。即全部都是抽象方法。抽象类是从多个类中抽象出来的模板,如果将这种抽象进行的更彻底,则可以提炼出一种更加特殊的“抽象类”——接口(Interface)。接口是 Java 中最重要的概念之一,它可以被理解为一种特殊的类,不同的是接口的成员没有执行体,是由全局常量和公共的抽象方法所组成。<br><br>定义接口:<br><br>public 表示接口的修饰符,当没有修饰符时,则使用默认的修饰符,此时该接口的访问权限仅局限于所属的包;<br>interface_name 表示接口的名称。接口名应与类名采用相同的命名规则,即如果仅从语法角度来看,接口名只要是合法的标识符即可。如果要遵守 Java 可读性规范,则接口名应由多个有意义的单词连缀而成,每个单词首字母大写,单词与单词之间无需任何分隔符。<br>extends 表示接口的继承关系;<br>interface1_name 表示要继承的接口名称;<br>constant_name 表示变量名称,一般是 static 和 final 型的;<br>returnType 表示方法的返回值类型;<br>parameter_list 表示参数列表,在接口中的方法是没有方法体的。<br><br>[修饰符]interface 接口名[extends 父接口名列表]{<br>[public] [static] [final]常量;<br>[public] [abstract] 方法;<br>}<br>一个类实现一个接口可以使用implements关键字 <br><br>public class Parallelogram extends Quadrangle implements drawTest{<br>....//<br>}<br><font color="#f44336"><b>说明:在接口中定义的任何变量都自动是static和final的,因此,在接口中定义变量时,必须进行初始化,而且,实现接口的子类不能对接口的变量重新赋值。<br></b></font><br>接口对于其声明、变量和方法都做了许多限制,这些限制作为接口的特征归纳如下:<br><br>具有 public 访问控制符的接口,允许任何类使用;没有指定 public 的接口,其访问将局限于所属的包。<br>方法的声明不需要其他修饰符,在接口中声明的方法,将隐式地声明为公有的(public)和抽象的(abstract)。<br>在 Java 接口中声明的变量其实都是常量,接口中的变量声明,将隐式地声明为 public、static 和 final,即常量,所以接口中定义的变量必须初始化。<br>接口没有构造方法,不能被实例化。<br>
多重继承
多重继承指的是一个类可以同时从多于一个的父类那里继承行为和特征,然而我们知道Java为了保证数据安全,它只允许单继承。有些时候我们会认为如果系统中需要使用多重继承往往都是糟糕的设计,这个时候我们往往需要思考的不是怎么使用多重继承,而是您的设计是否存在问题.但有时候我们确实是需要实现多重继承,而且现实生活中也真正地存在这样的情况,比如遗传:我们即继承了父亲的行为和特征也继承了母亲的行为和特征。可幸的是Java是非常和善和理解我们的,它提供了两种方式让我们曲折来实现多重继承:接口和内部类。<br>
区分抽象类与接口
抽象类与接口是java语言中对抽象概念进行定义的两种机制,正是由于他们的存在才赋予java强大的面向对象的能力。他们两者之间对抽象概念的支持有很大的相似,甚至可以互换,但是也有区别。 尽管抽象类和接口之间存在较大的相同点,甚至有时候还可以互换,但这样并不能弥补他们之间的差异之处。下面将从语法层次和设计层次两个方面对抽象类和接口进行阐述。<br><br>
控制访问
访问控制符<br> <br>在 Java 语言中提供了多个作用域修饰符,其中常用的有 public、private、protected、final、abstract、static、transient 和 volatile,这些修饰符有类修饰符、变量修饰符和方法修饰符。<br><br>通过使用访问控制修饰符来限制对对象私有属性的访问,可以获得 3 个重要的好处。<br><br>防止对封装数据的未授权访问。<br>有助于保证数据完整性。<br>当类的私有实现细节必须改变时,可以限制发生在整个应用程序中的“连锁反应”。<br><br><br> 访问控制符是一组限定类、属性或方法是否可以被程序里的其他部分访问和调用的修饰符。类的访问控制符只能是空或者 public,方法和属性的访问控制符有 4 个,分别是 public、 private、protected 和 friendly,其中 friendly 是一种没有定义专门的访问控制符的默认情况。<br><br>1. private<br><br>用 private 修饰的类成员,只能被该类自身的方法访问和修改,而不能被任何其他类(包括该类的子类)访问和引用。因此,private 修饰符具有最高的保护级别。例如,设 PhoneCard 是电话卡类,电话卡都有密码,因此该类有一个密码域,可以把该类的密码域声明为私有成员。<br><br>2. friendly(默认)<br><br>如果一个类没有访问控制符,说明它具有默认的访问控制特性。这种默认的访问控制权规定,该类只能被同一个包中的类访问和引用,而不能被其他包中的类使用,即使其他包中有该类的子类。这种访问特性又称为包访问性(package private)。<br><br>同样,类内的成员如果没有访问控制符,也说明它们具有包访问性,或称为友元(friend)。定义在同一个文件夹中的所有类属于一个包,所以前面的程序要把用户自定义的类放在同一个文件夹中(Java 项目默认的包),以便不加修饰符也能运行。<br><br>3. protected<br><br>用保护访问控制符 protected 修饰的类成员可以被三种类所访问:该类自身、与它在同一个包中的其他类以及在其他包中的该类的子类。使用 protected 修饰符的主要作用,是允许其他包中它的子类来访问父类的特定属性和方法,否则可以使用默认访问控制符。<br><br>4. public<br><br>当一个类被声明为 public 时,它就具有了被其他包中的类访问的可能性,只要包中的其他类在程序中使用 import 语句引入 public 类,就可以访问和引用这个类。<br><br>说明:<br>类中被设定为 public 的方法是这个类对外的接口部,避免了程序的其他部分直接去操作类内的数据,实际就是数据封装思想的体现。每个 Java 程序的主类都必须是 public 类,也是基于相同的原因<br>
内部类
final关键字<br>final 在 Java 中的意思是最终,也可以称为完结器,表示对象是最终形态的,不可改变的意思。final 应用于类、方法和变量时意义是不同的,但本质是一样的,都表示不可改变,类似 C# 里的 sealed 关键字。<br><br>使用 final 关键字声明类、变量和方法需要注意以下几点:<br><br>final 用在变量的前面表示变量的值不可以改变,此时该变量可以被称为常量。<br>final 用在方法的前面表示方法不可以被重写(子类中如果创建了一个与父类中相同名称、相同返回值类型、相同参数列表的方法,只是方法体中的实现不同,以实现不同于父类的功能,这种方式被称为方法重写,又称为方法覆盖。这里了解即可,教程后面我们会详细讲解)。<br>final 用在类的前面表示该类不能有子类,即该类不可以被继承。<br>final 修饰变量<br>final 修饰的变量即成为常量,只能赋值一次,但是 final 所修饰局部变量和成员变量有所不同。<br>final 修饰的局部变量必须使用之前被赋值一次才能使用。<br>final 修饰的成员变量在声明时没有赋值的叫“空白 final 变量”。空白 final 变量必须在构造方法或静态代码块中初始化。<br><b><font color="#f44336">注意:final 修饰的变量不能被赋值这种说法是错误的,严格的说法是,final 修饰的变量不可被改变,一旦获得了初始值,该 final 变量的值就不能被重新赋值。</font></b><br>
第八章 异常处理
异常概述
异常分类
系统错误
Error类及其子类通常用来描述Java运行系统中的内部错误,该类定义了常规环境下不希望由程序捕获的异常,比如:OutOfMemoryError、TreadDeath等,这些错误发生时,Java虚拟机(JVM)一般选择线程终止。
异常
子主题
捕捉处理异常
try...catch 代码块
finally 代码块
在方法中抛出异常
throws 关键字抛出异常
throw 关键字抛出异常
自定义异常
异常的使用原则
Java异常强制用户去考虑程序的强健性和安全性。异常处理不应该用来控制程序的正常其主要作用是捕获程序在运行时发生的异常并进行相应的处理。编写代码处理某个方法可能异常时,可遵循以下原则。<br>(1)不要过度使用异常。虽然通过异常可以增强程序的健壮性,但如果使用过多不必要的异常处理,可能会影响程序的执行效率。<br><br>(2)不要使用过于庞大的try... catch块。在一个try块中放置大量的代码,这种写法看上去“很”,但是由于try块中的代码过于庞大,业务过于复杂,会造成try块中出现异常的可能性大大W,从而导致分析异常原因的难度也大大增加。<br><br>(3)避免使用catch(Exception e)。因为如果所有异常都采用相同的处理方式,将导致无法对不异常分情况处理;另外,这种捕获方式可能将程序中的全部错误、异常捕获到,这时如果出现一让“关键”异常,可能会被“悄悄地”忽略掉。<br><br>(4)不要忽略捕捉到的异常,遇到异常一定要及时处理。<br><br>(5)如果父类抛出多个异常,则覆盖方法必须抛出相同的异常或其异常的子类,不能抛出异常。<br>
第九章 Java常用类
包装类
Integer 类
<br>java.lang包中的Integer类、Byte类、Short类和Long类,分别将基本数据类型int、byte、short和long封装成一个类,由于这些类都是Number的子类,区别就是封装不同的数据类型,其包含的方法基本相同,所以本节以Integer类为例介绍整数包装类。<br><br>Integer类在对象中包装了一个基本数据类型int的值,该类的对象包含一个int类型的字段,此外,该类提供了许多方法,能在int类型和String类型之间互相转换,同时还提供了其他一些处理的方法和常量。<br><br>1.构造方法<br><br>该方法以一个int型变量作为参数来获取Integer对象。<br><br>Integer number=new Integer(7);//创建一个对象<br>2.Integer(String str)<br><br>该方法以一个String型变量作为参数来获取Integer对象<br><br>注意:如果要使用字符串变量创建Integer对象,字符串变量的值一定要是数值型,如"123",否则将会抛出NumberFormatException异常<br>
Double 类
Double类和Float类是对double、float基本类型的封装,它们都是Number类的子类,都是对小数进行操作,所以常用方法基本相同,<br><br>Double类在对象中包装一个基本类型为double的值,每个Double类的对象都包含一个double类型的字段。此外,该类还提供多个方法,可以将double转换为String,将String转换为double,也提供了其他一些处理double时有用的常量和方法。<br>1.构造方法<br>Double类提供了以下两种构造方法来获得Double类对象。<br>(1) Double(double value)<br>基于double参数创建Double类对象。<br>例如,以double型变量作为参数创建Double对象,代码如下:<br>Double number=new Double(3.14);<br>(2) Double(String str)<br>该方法以一个String型变量作为参数来获取Double对象。<br>例如,以String型变量作为参数创建Double对象,代码如下:<br>Double number=new Double("3.14");<br>
BOOlean类
Boolean类将基本类型为boolean的值包装在一个对象中。一个Boolean类型的对象只包含一个典型为boolan的字段。此外,此类还为boolean和String的相互转换提供了许多方法,并提供了处the boolean时非常有用的其他一些常量和方法。<br><br>1.构造方法<br>Boolean类提供了以下两种构造方法来获得Boolean类对象。<br>(1) Boolean(boolean value)<br>该方法创建一个表示value参数的Boolean对象。<br>例如,创建一个表示value参数的Boolean对象,代码如下:<br>Eoolean b=new Boolean(true);<br>(2) Boolean(String str)<br>该方法以String变量作为参数创建Boolean对象。如果String参数不为null且在忽略大小写时等于true,则分配一个表示true值的Boolean对象,否则获得一个false值的Boolean对象。<br>例如,以String变量作为参数,创建Boolean对象。代码如下:<br>Boolean bool=new Boolean("ok");<br>
Character 类
3.常量<br>Character类提供了大量表示特定字符的常量,例如:(1)CONNECTOR_ PUNCTUATION :返回byte型值,表示Unicode规范中的常规类别“Pc”。<br>(2) UNASSIGNED :返回byte型值,表示Unicode规范中的常规别“Cn”。<br>(3)TITLECASE_LETTER:返回byte型值,表示Unicode规范中常规类别“Lt”。<br>说明:<br>Character类提供的常量有很多,详细列表可查看Java API文档。<br>
Number 类
Math类
Math 类概述
Math类表示数学类,它位于java. lang包中,由系统默认调用,该类中提供了众多数学函数方法,主要包括三角函数方法,指数函数方法,取整函数方法,取最大值、最小值以及绝对值函数方法,这些方法都被定义为static形式,因此在程序中可以直接通过类名进行调用。使用形式如下:Math.数学方法<br>在Math类中除了函数方法之外还存在一些常用的数学常量,如PI、E等,这些数学常量作为Math类的成员变量出现,调用起来也很简单。可以使用如下形式调用:<br>Math.PI//表示圆周率PI的值<br>Math.E//表示自然对数底数e的值<br>例如,下面代码用来分别输出PI和E的值。代码如下:<br>System. out. println("圆周率π的值为:"+Math.PI);<br>System. out.printIn("自然对数底数e的值为:"+Math.E);<br>上面代码的输出结果为:<br>圆周率π的值为:3. 141592653589793<br>自然对数底数e的值为:2. 718281828459045<br>
运用数学运算方法
<br>Math类中的常用数学运算方法较多,大致可以将其分为4大类别,分别为三角函数方法,指数函数方法,取整函数方法以及取最大值、最小值和绝对值函数方法
随机数
Math.random() 方法
<br>在Math类中存在一个random(方法,用于生成随机数字,该方法默认生成大于等于0.0小于10的double型随机数,即0<=Math.random0<1.0,虽然Math. random(方法只可以生成0~1之间的double型数字,但只要在Math. random(i语句上稍加处理,就可以使用这个方法生成任意范围的随机数,如图9.11所示。<br>(int)(Math. Random()*n)返回大于等于0小于n的随机数<br>m+(int)(Math. Random()*n)<br>返回大于等于m小于m+n(不包括m+n)的随机数<br>
<font color="#e57373"><b>注意:<br>Math. random向方法返回的值实际上是伪随机数,它通过复杂的运算而得到一系列的数,该方法是通过当事判断作为随机数生成器的参数,所以每次执行程序都会产生不同的随机数。</b></font>
Random 类
<br>除了Math类中的random(方法可以获取随机数之外,Java中还提供了一种可以获取随机数的方式,那就是java. util. Random类,该类表示一个随机数生成器,可以通过实例化一个Random对象创建一个随机数生成器。语法如下:<br>Random r=new Random();<br>其中,r是指Random对象。<br>以这种方式实例化对象时,Java编译器以系统当前时间作为随机数生成器的种子,因为每时每刻的时间不可能相同,所以生成的随机数将不同,但是如果运行速度太快,也会生成两次运行结果相同的随机数。<br>同时也可以在实例化Random类对象时,设置随机数生成器的种子。语法如下:<br>Random r=new Random(seedValue);<br>r:Random类对象。<br>seedValue:随机数生成器的种子。在Random类中提供了获取各种数据类型随机数的方法,其常用方法及说明如表9.11所示。<br>
日期时间类
Date类
Calender 类
<br>Calendar提供了一个类方法getInstance,以获得此类型的一个通用的对象。Calender的getInstance方法返回一个Calendar对象,其日历字段已由当前日期和时间初始化。<br><br>Calendar rightNow=Calendar.getInstance();<br>
第十章 集合类
集合类概述
Collection 接口
<font color="#f44336"><b>注意:以上方法完全来自于 Java API 文档,读者可自行参考 API 文档来查阅这些方法的详细信息。读者无需硬性记忆这些方法,可以和实际生活结合记忆。集合类就像容器,现实生活中容器的功能,就是添加对象、删除对象、清空容器和判断容器是否为空等,集合类为这些功能都提供了对应的方法。</b></font><br>
list 集合
list 接口
list 接口的实现类
Iterator 迭代器
Set集合
Set接口
HashSet 具有以下特点:<br><br>不能保证元素的排列顺序,顺序可能与添加顺序不同,顺序也有可能发生变化。<br>HashSet 不是同步的,如果多个线程同时访问或修改一个 HashSet,则必须通过代码来保证其同步。<br>集合元素值可以是 null。<br><br>当向 HashSet 集合中存入一个元素时,HashSet 会调用该对象的 hashCode() 方法来得到该对象的 hashCode 值,然后根据该 hashCode 值决定该对象在 HashSet 中的存储位置。如果有两个元素通过 equals() 方法比较返回的结果为 true,但它们的 hashCode 不相等,HashSet 将会把它们存储在不同的位置,依然可以添加成功。<br><br>也就是说,两个对象的 hashCode 值相等且通过 equals() 方法比较返回结果为 true,则 HashSet 集合认为两个元素相等。<br><br>在 HashSet 类中实现了 Collection 接口中的所有方法。HashSet 类的常用构造方法重载形式如下。<br><br>HashSet():构造一个新的空的 Set 集合。<br>HashSet(Collection<? extends E>c):构造一个包含指定 Collection 集合元素的新 Set 集合。其中,“< >”中的 extends 表示 HashSet 的父类,即指明该 Set 集合中存放的集合元素类型。c 表示其中的元素将被存放在此 Set 集合中。<br><br>
Set 接口的实现类
<font color="#ff00ff"><b>注意:在使用自然排序时只能向 TreeSet 集合中添加相同数据类型的对象,否则会抛出 ClassCastException 异常。如果向 TreeSet 集合中添加了一个 Double 类型的对象,则后面只能添加 Double 对象,不能再添加其他类型的对象,例如 String 对象等。</b></font><br>
Map集合
Map 接口
Map 接口的实现类
集合的使用场合
Map 集合的遍历与 List 和 Set 集合不同。Map 有两组值,因此遍历时可以只遍历值的集合,也可以只遍历键的集合,也可以同时遍历。Map 以及实现 Map 的接口类(如 HashMap、TreeMap、LinkedHashMap、Hashtable 等)都可以用以下几种方式遍历。<br>
第十一章 枚举与泛型
枚举
使用枚举类型设置常量
以往设置常量,通常将常量放置在接口中,这样在程序中就可以直接使用,并且该常量不能被修改,因为在接口中定义常量时,该常量的修饰符为final与static.<br> <br><br>public interface Constants{<br>public static final int Constants_A=1;//定义一个泛型变量并赋初值<br> public static final int Conostants_B=12;<br>}<br>在JDK1.5版本中新增枚举类型后就逐渐取代了这种常量定义方式,因为通过使用枚举类型,可以赋予程序在编译时进行检查的功能。语法如下:<br><br>public enum Constants{<br>Constants_A,//泛型常量<br>Constants_B,<br>Constants_c<br>}<br>其中,enum是定义枚举类型的关键字。当需要在程序中使用该常量时,可以使用Constants.Constant_A来表示。<br>
深入了解枚举类型
使用枚举类型的优势
枚举类型声明提供了一种用户友好的变量定义方法,枚举了某种数据类型所有可能出现的值。总结枚举类型,它具有以下特点:<br>(1)类型安全。<br>(2)紧凑有效的数据定义。<br>(3)可以和程序其他部分完美交互。<br><br>(4)运行效率高。
泛型
回顾向上向下转型
泛型的常规用法<br>
泛型的高级用法
<br>1.通过类型参数T的继承限制泛型类型<br><br>默认可以使用任何类型来实例化一个泛型类对象,但Java中也对泛型类实例的类型作了限制,这主要通过对类型参数T实现继承来体现。<br><br>class 类名称 <T extends anyClass><br>anyClass:接口或者类<br> <br><br>import java.util.ArrayList;<br>import java.util.LinkedList;<br>import java.util.List;<br>public class Limitclass<T extends List> {//限制泛型的类型<br>public static void main (string[] args) {//可以实例化已经实现List接口的类<br>Limitclass<ArrayList> 11 = new LimitClass<ArrayList>();<br>Limitclass<LinkedList>12 = new Limitclass<LinkedList>();<br>//这句是错误的,因为HashMap没有实List()接口<br>//LimitClass<HashMap> 13=new Limitclass<HashMap>();<br>上面代码中,将泛型作了限制,设置泛型类型必须实现List接口。例如,ArrayList和 LinkedList 都实现了List接口,而HashMap没有实现List接口,所以在这里不能实例化 HashMap类型的泛型对象。<br>当没有使用extends关键字限制泛型类型时,默认 Object类下的所有子类都可以实例化泛型类对象。如图11.11所示的两个语句是等价的<br>
2.通过类型通配符的继承限制泛型类型<br><br>在泛型机制中,提供了类型通配符,其主要作用是在创建一个泛型类对象时,限制这个泛型类的类型,或者限制这个泛型类型必须继承某个接口或某个类(或其子类)。要声明这样一个对象可以使用“?”通配符,同时使用extends 关键字来对泛型加以限制。<br>说明:<br>通过对类型参数T实现继承限制泛型类型时,在声明时就进行了限制,而通过对类型通配符实现继承限制泛型类型时,则在实例化时才进行限制。<br>使用泛型类型通配符的语法如下:<br><br>泛型类名称<?extends List> a=null;<br>其中,<? extends List>表示类型未知,当需要使用该泛型对象时,可以单独实例化。例如,在项目中创建一个类文件,在该类中限制泛型类型。<br>A<?extends List> a=null;<br>a=new A<ArrayList> ();<br>a=new A<LinkedList>();<br><br>如果实例化没有实现List 接口的泛型对象,编译器将会报错。例如,实例化HashMap对象时,编译器将会报错,因为 HashMap类没有实现List 接口。<br>除了可以实例化一个限制泛型类型的实例之外,还可以将该实例放置在方法的参数中。例如,在项目中创建一个类文件,在该类的方法参数中使用匹配字符串。<br>public void doSomething(A<? extends List> a){<br>}<br>在上述代码中,定义方式有效地限制了传入doSomething()方法的参数类型。<br>如果使用A<?>这种形式实例化泛型类对象,则默认表示可以将A指定为实例化Object 及以下的子类类型。读者可能对这种编码类型有些疑惑,下面的代码将直观地介绍A<?>泛型机制。<br>
泛型总结
<br>使用泛型需遵循以下原则。<br>(1 )泛型的类型参数只能是类类型,不可以是简单类型,如A<int>这种泛型定义就是错误的,<br><br>(2)泛型的类型个数可以是多个.<br>(3 )可以使用extends关键字限制泛型的类型。<br><br>( 4)可以使用通配符限制泛型的类型。
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