C#中String转int问题

String转int主要有四种方法

1. int.Parse()是一种类容转换；表示将数字内容的字符串转为int类型。

　　如果字符串为空，则抛出ArgumentNullException异常；

　　如果字符串内容不是数字，则抛出FormatException异常；

　　如果字符串内容所表示数字超出int类型可表示的范围，则抛出OverflowException异常；

2. Convert.ToInt32()是一种类容转换；但它不限于将字符串转为int类型，还可以是其它类型的参数；Convert.ToInt32 与 int.Parse 较为类似，实际上 Convert.ToInt32 内部调用了 int.Parse。

3. int.TryParse (String s,out int num.)与 int.Parse(string s)又较为类似，但它不会产生异常，最后一个参数为输出值,如果转换失败，输出值为 0，如果转换成功，输出值为转换后的int值。

4. (int) 属 cast 转换，当我们把int类型扩展到long,float,double,decimal类型，可以使用隐式转换，但是当我们从long类型到int类型就需 要使用显式转换，否则会产生编译错误。但我们只能将其它数字类型转换成 int 类型，它不能转换字符串，比如下例就会失败：
　　string v = "1";
　　int n = (int)v;

 using System;
 using System.Collections.Generic;
 using System.Linq;
 using System.Text;
 using System.Threading.Tasks;

 namespace ConsoleApplication7
 {
     class Program
     {
         static void Main(string[] args)
         {
             //String转int

             //如果确定字符串中是可以转成数字的字符，可以用int.Parse(string s)，
             //该语句返回的是转换得到的int值;
             string str1= "";
             int num1 = ;
             num1 = int.Parse(str1);
             Console.WriteLine(num1);

             //如果不能确定字符串是否可以转成数字，可以用int.TryParse(string
             // s, out int result),该语句返回的是bool值，指示转换操作是否成功，
             //参数result是存放转换结果的变量。
             string str2 = "";
             int num2 = ;
             Console.WriteLine(int.TryParse(str2, out num2));
             Console.WriteLine(num2);

             //使用Convert.ToInt32(string s)进行转换
             string str3 = "";
             int num3 = Convert.ToInt32(str3);
             Console.WriteLine(num3);
         }
     }
 }
                    

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当int.Parse()输入值为abc：

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" 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当int.TryParse()和Convert.ToInt32()输入值为abc：

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" 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