JavaScript学习总结(三)——逻辑And运算符详解
在JavaScript中,逻辑 AND 运算符用双和号(&&)表示
1 var bTrue = true;
2 var bFalse = false;
3 var bResult = bTrue && bFalse;
下面的真值表描述了逻辑AND运算符的行为:
运算数 1 | 运算数 2 | 结果 |
true | true | true |
true | false | false |
false | true | false |
false | false | false |
需要说明的是:逻辑AND运算的运算数可以是任何类型的,不止是Boolean值,如果某个运算数不是原始的Boolean型值,逻辑AND运算并不一定返回Boolean值
逻辑AND运算符的运算行为如下:
- 如果一个运算数是对象,另一个是 Boolean 值,返回该对象。
- 如果两个运算数都是对象,返回第二个对象。
- 如果某个运算数是 null,返回 null。
- 如果某个运算数是 NaN,返回 NaN。
- 如果某个运算数是 undefined,发生错误。
- 如果两个运算数都是boolean类型,则返回boolean值
与Java中的逻辑AND运算相似,JavaScript 中的逻辑AND运算也是简便运算,即如果第一个运算数决定了结果,就不再计算第二个运算数。对于逻辑AND运算来说,如果第一个运算数是false,那么无论第二个运算数的值是什么,结果都不可能等于true。
考虑下面的例子:
1 var bTrue = true;
2 var bResult = (bTrue && bUnknown); //发生错误
3 alert(bResult); //这一行不会执行
代码运行结果:
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" alt="" />
这段代码在进行逻辑 AND 运算时将引发错误,因为变量 bUnknown 是未定义的。变量 bTrue 的值为 true,因为逻辑 AND 运算将继续计算变量 bUnknown。这样做就会引发错误,因为 bUnknown 的值是 undefined,不能用于逻辑 AND 运算。
如果修改这个例子,把第一个数设为 false,那么就不会发生错误:
1 var bTrue = false;
2 var bResult = (bTrue && bUnknown); //不会发生错误
3 alert("bTrue && bUnknown的结果是:"+(bResult));//输出 "false"
在这段代码中,脚本将输出逻辑AND运算返回的值,即字符串"false"。即使变量 bUnknown 的值为 undefined,它也不会被计算,因为第一个运算数的值是 false。
运行结果:
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" alt="" />
验证JavaScript逻辑And运算符的运算行为
测试代码:
1 <script type="text/javascript">
2 document.write("验证JavaScript逻辑And运算符的运算行为:");
3 document.write("<br/>");
4 document.write("-----------------------------------------------------------------------------");
5 document.write("<br/>");
6
7 var bTrue = true;
8 var bFalse = false;
9 var bResult = bTrue && bFalse;
10 /*1.如果两个运算数都是boolean类型,则返回boolean值*/
11 document.write("1.如果两个运算数都是boolean类型,则返回boolean值");
12 document.write("<br/>");
13 document.write("-----------------------------------------------------------------------------");
14 document.write("<br/>");
15 document.write("bTrue = true,bFalse = false,bTrue && bFalse的结果是:"+(bResult));//结果为false
16 document.write("<br/>");
17
18 document.write("-----------------------------------------------------------------------------");
19 document.write("<br/>");
20
21 var obj = new Object();
22 /*2.如果一个运算数是对象,另一个是 Boolean 值,返回该对象*/
23 document.write("2.如果一个运算数是对象,另一个是 Boolean 值,返回该对象");
24 document.write("<br/>");
25 document.write("-----------------------------------------------------------------------------");
26 document.write("<br/>");
27 document.write("obj是一个对象,true&&obj的结果是:"+(true&&obj));
28 document.write("<br/>");
29 document.write("obj==true&&obj的结果是:"+(obj==(true&&obj)));
30 document.write("<br/>");
31 document.write("false&&obj的结果是:"+(false&&obj));
32 document.write("<br/>");
33
34 document.write("-----------------------------------------------------------------------------");
35 document.write("<br/>");
36 /*3.如果两个运算数都是对象,返回第二个对象。*/
37 var obj1 = new Object();
38 var obj2 = new Object();
39 document.write("3.如果两个运算数都是对象,返回第二个对象。");
40 document.write("<br/>");
41 document.write("-----------------------------------------------------------------------------");
42 document.write("<br/>");
43 document.write("obj1是一个对象,obj2是一个对象,obj1==(obj1&&obj2)的结果是:"+(obj1==(obj1&&obj2)));//结果为false
44 document.write("<br/>");
45 document.write("obj1是一个对象,obj2是一个对象,obj2==(obj1&&obj2)的结果是:"+(obj2==(obj1&&obj2)));//结果为true
46 document.write("<br/>");
47
48 document.write("-----------------------------------------------------------------------------");
49 document.write("<br/>");
50 /*4.如果某个运算数是 null,返回null。*/
51 var a=null;
52 var b=true;
53 document.write("4.如果某个运算数是 null,返回null。");
54 document.write("<br/>");
55 document.write("a=null,b=true,a&&b的结果是:"+(a&&b));
56 document.write("<br/>");
57 document.write("-----------------------------------------------------------------------------");
58 document.write("<br/>");
59 /*5.如果某个运算数是NaN,返回NaN*/
60 var c = NaN;
61 var d = "str";
62 document.write("5.如果某个运算数是NaN,返回NaN");
63 document.write("<br/>");
64 document.write("c=NaN,d=str,c&&d的结果是:"+(c&&d));
65 document.write("<br/>");
66 document.write("-----------------------------------------------------------------------------");
67 document.write("<br/>");
68 /*
69 6.JavaScript中的逻辑 AND 运算是简便运算,即如果第一个运算数决定了结果,就不再计算第二个运算数。
70 对于逻辑 AND 运算来说,如果第一个运算数是 false,那么无论第二个运算数的值是什么,结果都不可能等于 true。
71 */
72 var bFalse = false;
73 var bResult = (bFalse && bUnknown);
74 document.write("6.JavaScript中的逻辑 AND 运算是简便运算,即如果第一个运算数决定了结果,就不再计算第二个运算数");
75 document.write("<br/>");
76 document.write("对于逻辑 AND 运算来说,如果第一个运算数是 false,那么无论第二个运算数的值是什么,结果都不可能等于 true。");
77 document.write("<br/>");
78 document.write("bFalse=false,bUnknown是一个未定义的变量,bFalse && bUnknown的结果是:"+(bResult)); //输出 "false"
79
80 var bTrue = true;
81 var bResult = (bTrue && bUnknown); //发生错误
82 alert(bResult); //这一行不会执行
83 </script>
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" alt="" />
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