一、JavaScript"=="的作用
- 当==两边的内容是字符串时,则比较字符串的内容是否相等。
- 当==两边的内容是数字时,则比较数字的大小是否相等。
- 当==两边的内容是对象或者是对象的函数属性时,则比较内存地址是否相等。
二、==和===的区别
==用于一般比较,===用于严格比较,==在比较的时候可以转换数据类型,===严格比较,只要类型不匹配就返回flase。
举例说明:
<script type="text/javascript">
alert("\"1\"==true的结果是:"+("1"==true));
alert("\"1\"===true的结果是:"+("1"===true));
alert("\"1\"==1的结果是:"+("1"==1));
alert("\"1\"===1的结果是:"+("1"===1));
</script>
"1" == true类型不同,"=="将先做类型转换,把true转换为1,即为 "1" == 1;此时,类型仍不同,继续进行类型转换,把"1"转换为1,即为 1 == 1;此时,"==" 左右两边的类型都为数值型,比较成功!
"1" === true 左侧为字符型,右侧为bool布尔型,左右两侧类型不同,结果为false;
"1" === 1 左侧为字符型,右侧为int数值型,左右两侧类型不同,结果为false;
运行结果:
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" 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" 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" 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" alt="" />
总结:
==和===的区别:"==" 只要求值相等; "===" 要求值和类型都相等
文中如果有写得不对的地方,希望朋友们指正,感激不尽!