JavaScript判断数据类型总结

最近做项目中遇到了一些关于javascript数据类型的判断处理,上网找了一下资料,并且亲自验证了各种数据类型的判断网页特效,在此做一个总结吧!

一、JS中的数据类型

   1.数值型(Number):包括整数、浮点数。

   2.布尔型(Boolean)

   3.字符串型(String)

   4.对象(Object)

   5.数组(Array)

   6.空值(Null)

   7.未定义(Undefined)

二、判断一个变量的数据类型

1.数值型(number)

  比较常用的判断方法是:

1 function isNumber(val){
2 return typeof val === 'number';
3 }

  但有些情况就不行,比如:

1 var a;
2 alert(isNumber(parseInt(a)));

  这里弹出来的是true,如下图所示:

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" alt="JavaScript判断数据类型总结" />

  但实际上变量a是NaN,它是不能用于数值运算的。

  所以上面的函数可以修改为:

1 function isNumber(val){
2 return typeof val === 'number' && isFinite(val);
3 }

修改了之后,弹出来的就是false,如下图所示:

aaarticlea/png;base64,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" alt="JavaScript判断数据类型总结" />

  顺便介绍一下JavaScript isFinite() 函数,isFinite() 函数用于检查其参数是否是无穷大,如果 number 是有限数字(或可转换为有限数字),那么返回 true。否则,如果 number 是 NaN(非数字),或者是正、负无穷大的数,则返回 false

2.布尔型(boolean)

  布尔类型的判断比较简单,可以用如下的方法进行判断:

1 /*
2 判断变量val是不是布尔类型
3 */
4 function isBooleanType(val) {
5 return typeof val ==="boolean";
6 }

测试代码:

JavaScript判断数据类型总结
 1 <script type="text/javascript">
2 /*
3 判断变量val是不是布尔类型
4 */
5 function isBooleanType(val) {
6 return typeof val ==="boolean";
7 }
8 var a;
9 var b = false;
10 alert("变量a是布尔类型的判断结果是:"+isBooleanType(a));
11 alert("变量b是布尔类型的判断结果是:"+isBooleanType(b));
12 </script>
JavaScript判断数据类型总结

运行结果:

  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" alt="JavaScript判断数据类型总结" 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" alt="JavaScript判断数据类型总结" />

3. 字符串(String)

  字符串类型的判断比较简单,可以用如下的方法进行判断:

1 /*
2 判断变量是不是字符串类型
3 */
4 function isStringType(val) {
5 return typeof val === "string";
6 }

测试代码:

JavaScript判断数据类型总结
 1 <script type="text/javascript">
2 /*
3 判断变量是不是字符串类型
4 */
5 function isStringType(val) {
6 return typeof val === "string";
7 }
8
9 var a;
10 var s = "strType";
11 alert("变量a是字符串类型的判断结果是:"+isStringType(a));
12 alert("变量s是字符串类型的判断结果是:"+isStringType(s));
13 </script>
JavaScript判断数据类型总结

运行结果:

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" alt="JavaScript判断数据类型总结" 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" alt="JavaScript判断数据类型总结" />

4.未定义(Undefined)

  未定义的判断比较简单,可以用如下的方法进行判断:

1 /*
2 判断变量是不是Undefined
3 */
4 function isUndefined(val) {
5 return typeof val === "undefined";
6 }

测试代码:

JavaScript判断数据类型总结
 1 <script type="text/javascript">
2 var a;//a是undefined
3 var s = "strType";
4 /*
5 判断变量是不是Undefined
6 */
7 function isUndefined(val) {
8 return typeof val === "undefined";
9 }
10 alert("变量a是Undefined的判断结果是:"+isUndefined(a));
11 alert("变量s是Undefined的判断结果是:"+isUndefined(s));
12 </script>
JavaScript判断数据类型总结

运行结果:

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" alt="JavaScript判断数据类型总结" 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" alt="JavaScript判断数据类型总结" />

5.对象(Object)

  由于当变量是空值Null时,typeof也会返回object,所以Object不能直接用 typeof 判断。

应该这样:

1 function isObj(str){
2 if(str === null || typeof str === 'undefined'){
3 return false;
4 }
5 return typeof str === 'object';
6 }

测试代码:

JavaScript判断数据类型总结
 1 <script type="text/javascript">
2 /*
3 判断变量是不是Object类型
4 */
5 function isObj(str){
6 if(str === null || typeof str === 'undefined'){
7 return false;
8 }
9 return typeof str === 'object';
10 }
11
12 var a;
13 var b = null;
14 var c = "str";
15 var d = {};
16 var e = new Object();
17
18 alert("b的值是null,typeof b ==='object'的判断结果是:"+(typeof b ==='object'));
19 alert("变量a是Object类型的判断结果是:"+isObj(a));//false
20 alert("变量b是Object类型的判断结果是:"+isObj(b));//false
21 alert("变量c是Object类型的判断结果是:"+isObj(c));//false
22 alert("变量d是Object类型的判断结果是:"+isObj(d));//true
23 alert("变量e是Object类型的判断结果是:"+isObj(e));//true
24 </script>
JavaScript判断数据类型总结

运行结果:

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" alt="JavaScript判断数据类型总结" 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O9Kwt96H72xn3gzP1c+p87ox/PLPH6qJ/zprd0jWu9uuv7tNzN+Wu2tb/q5tBbuDi3cHl+wOLnsvuOr931W9/ztZaJAsNKg+NKjBStRbvCQ/Qn687L3gkt3BxbuDC3YH5+/alrtrm5i/7fq727Le3Za1O6Qm/uuXf/6QY8Lr6E47o/A5Ah5Cx8WSKJ5AmivgIbIl72xJL4jioeO5pL2k9iVRvIDM3GQu4UuieMhC+EEsFvCoGt7YLKeK8+Ni0ztUqje+zzopIDb225t3/ndRbfhOPZYP4A6d8fJeWnjL03LVKlylJCqVxtxexlnGz2ENP6eqM8OF2X5GFT6n82XWztVbT/WW5+q5L8ubuwvydGP4zeWPVyVfyf9oX+6e/8nd8z8Fe3cX7N1dvHd3yV92VezfVbV/V83+XbKwnbKwnQ0HdjZ8tLPxo523rUSjxcuGj3Y2HNhJfrxm/66q/bsq9u8q+cuu4r27yS8ivzT/o31VyVfeXP74wBiu09gUntlR30WeykbmnXaMprhzvfR+5snZ2Mdu0VEnC+chv+RMspXOPJ/HLTy7Z05Jn4Sz3oanTtRJw3nHswdVFwMQQujjYiwfwPKiKB4KOnfbdB7+DvM8PGm7GteoiGoVUakkKpREhT3VbZxyu7uq3yPa2+7Dt3tlnv3y3p72c1Xe68Zw5I7t5w59Vv+NsPSLyOLIvxWH7ysL31f56b6qyH2yz/bJPttb/9neBsHeRsGepsN7mg5/2OpMNB3+sOnwnkbBngbB3vrP9so+2yv7bF9V5L7KT/eVhe8rDt9XHPm30i8i678Rnjv0WeSO7aTwtPMW5+HZZ+ZEh3hoc2Y1XdVLoniH6NyuEgYY2/CO9NIbz8Obd79j5RCWXjH10tMn3oyHAKorDiHj6TT2BTzsE/XUuXfTiXp2Pzx5JV+2gOeXpCL/dg/KDvKOZzPSe9W3QWhzZvntTF8UFNvI6LHrw7d6jZfTy9RYqiJqVASZ3pmNdtv3tNo/u+5AJ7yjqrc6obpV7Vtnqr0D/XncZ+ydudPWRgf+TJyfi1Tf2o/vdPb6r155+qO/VWWky3Oz5aJ0uSi9W5SuEKUrctLV4jRNbpomN603N60vN03rfPTlpvXmGieiFqcpctIVovRuUTr5RfLc7KqM9NMf/c1/9crmrt62fqPwpPOsS2ubtaar6FlVPd2St3HhzeZMKcdFNaaTYTkCnsUVeKZT6AclxnMBVPq1uNimOdMfoYMS+kIaxpU5zDR+SKoYxNkCHjokNb+0hnFd3SfF9HW4qgvs0/gIoY+KcDvz0lotdWmtqbuOqFERVSqiktEnP3vVOZvrrsvq2a1EtquzvTMN+9lpz32u/q6U97c1k119o39/Z/tOj5X+y37pv+yXm5Y/unnFYwErH9/y5BOBTz7x21VLg1Yv2/rU8t89vTz46RXBT694i4xnVrz1DPXP0yveenrFtqdZL8mRf/f08q1PLQ9avey3q5YGPvnEliefCFj5+OYVj21a/ij5dTs9Vv79ne3d2tHbmknadjLGvmNfS9+iNU/y5s7Pz7Xx7MvjHQ/Hr5+3vPeGvpeGvOSmhXHJDeNsHCFTEzVqqphn9MmbdcU70jNXOOeqO5bVsy1iPrM9rT3nbfa2GvZzlert9uTNurxv7ce6sdnGwOyiTYfNbDcXnrw31uh8P26n8vyMtb87d8LYdVuP5cxg3DNHX11nyu2Mc+91GkKqJmrUBN1RV6EgyhSU7TNI7E6db2vjtn2Wqs+V9nls7R0/e3dvpvp74WlZtRa6zj5Ywt9m3A/Pas/T2X6AQ5578C5XJ262p26GJz1vtXIzPJnbpWpCqiKqlEQVdR6ujOqZt3/ri/M9c3OY1W177qD5s8z2DvbnmaV67kdo2bky7x4q7+815xnCf2do7DU+8eZOn/EJU0btKfOZj8FwyRMsZvH4Cstw6hk4psfdWNwAX6chZGRup3rpTLYriDK7id2RGt5mJ7wjqs8kpbcQ2S2zTvg2tHesG9+RCt/BVF8+g1Q/j2fs7gXnWcKTz668zdD+jpZlfivt/z3yXKp+45P2zMPu4/EsHnd3m/nsXerZtXUaLKMSe42SYJ1yJyt5i7NuTtXwdpvrrlWdGfOvvb2GvbUK3/Z5u3IXpPqFVN6bhB/7ztDQg2/1mJ5LzXxeLSn/nXvsmZPcD6Ls5QjOB9TeYj+skizd6WdUy9TGFnu1kpXYSdtLu0y2203sljW8LdVdV8Bbeu6w+XNV5NvX3m6F7+ATNdip3v71OYujvGcJX894TjvTfDrtmz+y+i49T5pTWjIzO/LMeebys1aoGsuMG5KQqohqFaU64zp5soanbbfWOWdZwzveXJ9xVncupc9Ie4fMdybb22jY27lKx96VeeXmN97MRXnPpb17Oc8WXoPrqStyGszk73HBr0Q480MRVgW2YjKHzxrztW/abCrG42tURBXZM8e4W6OM7p+zUN3pxG6zE37uC3jrVotaCNHcZXtHtHe8G38GnXkOturtpPp5vvZ+Rs7PRnuW8PS7pPmaYdw3Ygyt9eib3+jljGGO6HEwhrDGFAQZ6iFCPUSomDFIKK2EwiK6ydCbostGDBBdA0SnvZA7Gzqr0WERNkZ29nvtLgi5vDZWCHO9kWvScg1b2xaqQfZWGyJU1NZUDxH07V6aIawZdii495kRjuDeM10WjsiiGXZM+DoN1gzjc5fTQkLDICAg3DTOXU4zc96q8H0jOCQ0zAAAgNsSEhrWNwLCA8DiAIQHgEUECA8AiwgQHgAWESA8ACwiQHgAWESA8ACwiLAjfD11jV09CA8A7g8pPNNrEB4AFiw2hZ8y0Dei1PXgvlEQHgDcm5DQsL5RXMf5QxRjUwbmjWggPAC4O6TwtNQNZsLXg/AAsIAwE94iwzPuVAfhAcDdIYVnes36IQrmMy20IDwAuDkhoWHaUdazasaZwjdSD3Js7APhAcDtIYVnes0SnvmouX4QHgDcnJDQsP5R1iMkWcI3aTEd/WMgPAC4NyGhYf1jmOm1SfiJKQP9nOlmLdaB8ADg5oSEhunGMNNrlvDMH3gA4QHA3SGFZ3o9YRJ+2tCqw3QMjIPwAODehISGDYxjptcT0wzhmb/WpgfhAcDNCQkN04+zfoXRJPzktIH5a5AgPAC4O6TwTK8nmcIzf7Z5EIQHADcnJDRscJz1c+ws4bsHsTH0eGgChAcA9yYkNGxoAnfrMa22Sfjvpg3KIawcNMYwCA8Abk5IaNjwhElq5RD+ziQ8YVAPYzpGJkF4AHBvQkLDRiYx0+vvCIbwzN/QA+EBwN0hhWd6bRJ+ijAwf5tyFIQHADcnJDRsdJL1m7NTTOG1o5iOse9AeABwb0JCw8a+w0yvTcJPEwbdGKZjHIQHADcnJDRs/DvM9HqaKfzAGKYDhAcAd4cUnuk1S/jBcUzHxBQIDwDuTUho2MQUZnrNEB4bhiYwHXdLeIIgGm/fbrrdpNVq5//bAWAhQQrP9HoaU8IT2DA8gemYvEvCq1TKzMxscU5RWVk5xnj+ZwAAFgwhoWGTU5jpNYHvpbvlhoeHU1LT8/OvFxYmX7smam5unucZAICFhK275ca+M9SqsTE0uPdu/NRUeXnZlav5omt/LBX9UiwWpWeIx8cn5nkeAGDBEBIa1juCmV6zfltOpsZ0zL/wPT2aq1czr15Nbix5UNGyJDfZP1NUWVlZOZ/zAAALCVJ4ptdWhe+ZX+EJgigoKMjIKMz6NtBgQAYDqi34P3mi8+kZN/r6+uZtNgBgIRESGtZjV3ipGkvnXfiWlpZr1/Kysi61Vf2AFN5AIPGll4qKGwsKCuew9y6Lj7yiWzhnIdoLccHPYoxAv7CYqu3P2sbKlFuivazNrCNk8RH18Sw+PR3GCrCca6/oliw+4mcZDC3RXswFZ86G2UvWF1osBTUyPQccI2XxTavKfDBzPuh3uFc2Yq6sWW4R82+zvt2dneC8QgpPGs0tvPRuCD8xMX7tWmZRUUNusq/BgAzjyDCODASqy/3XiqJYUXapolsx44nb2D/Y+4DlrmWw2O+d2vAWE2TNiplCLhCeMQFKN/IYkNVimiY15/QSWApvthyci8WcBmtpGMLz+V7UAaUl2ssrOprP3gAGrmMJp/D0ONb+d3SL2MPGJrf+LfcQTOGllsJL75LwUqk0O7v0Zv7plvIfnInx2Pvhun17//vgx6+11jxQnPybkrL6GzduTk9Pz/p76O3NSHisobZzwuwyPCPf0t/GUGpOdhyr0+FcYGq2bArPWjKv6Baz1WScLClbFh/xoyntTNMxHXKy+MjLywt5eXnxs7hmip4JK9vCK7plfjO89XrQbIbvUcyElzKFH71Lwut0uqwscXVNTUnWi9+NoD/+cefOnZ+8u3P/22/vLb7+iKLiAUnW3yRltxoabs3iS8jdly28/eLR7M3ZZPgsvuW+Znpv7oW3tr8z3MjiFIfPNxee2uMpqVlWsXRgrQUu4Y3vW7YzWOuLlarvboZfeMKP3l3hMcYlJSW3GrtKi4/J65dMDn//L/u279r14c6d74W8/fuS648adD8siH9SrdKIcwuHh0dm9CW0BhYZntqedvWgcxs/yzSuWfq2lU+4dxz6XStTZh0HTEM58xijQmaOYawrjONxKsBKyBwZnik8n88yxjjQcun5WRzC8/lerFHYH/PyooZa1hGs1eKKDM91PGZOgtp9zKdiEp5jIPcmm1fuOeEVCkXejdKycsntwv80ELzpkfv2fhjw1nb+1t9t99/0Zvn1/zT0/lRVcn9h0rua3tHy8vIZfIX1atZsMKtji53WDNT/7G3t+NGdW3jmkYhryqyEzZoNutq2yJFm+ya7f4JpATUJK31ptkp6xh5tvTOPO8MzWzKmtxhFVLSzbew5ccnaxmSs95ZoPqPfk3105CrRODfZfOOM8MMuF356evr69WxNz1DRdf6wYolh9McT2vs/+NNrvhu3vvb6xlde8SnP+Lmh+z8mb/+w6OLDzXU3JGU1M7vA3trRnr2v2B3LbLMZXzrUKWhVeGaGN58yW22LeeKYppNteKbkpv+pL6Myv+Wxj1ENGGeEY5k5hM+K9qISOaMNz6jkGR/nWK3UKrG3th3uprWP2Tq2SOPMugjZrjDuSpIPCQ3rGXZEeNV8CH/r1q3Copry8rS2kp8Z9P9u0P9iou/+0F3Pr/Vct9bzhZdefL4y46eGtgfG6/9Vkf39fOGGft1YUZGEIIgZfRs7GXAekh3I8BxamsHdrHOqDc8lvOX+Ykt4+/u85fS4G7hWV4Vltxt7ApwlPVXqM5sH3N9r/i53W57P9/Li8/m2XZpFQ9u0jluivZhdlObC07NErVp7rf/5wSi8yrbwqvkQfnh4OOu6WNMzkJ/ypkH/gKH3/xq0D09oHtj59uqVv/Z8bo3366+9WHf9QcOdJaNV941Xopr4JWVZxyqrmzo6Omb6nYyczNE/bNcOi451yy4qyykxdLHdS8/xgt0Hx0jGlm9mRVMFM/fRxsvL2hA7C80tvIHjHW6vuDrt2F1zLJWpIxU/2obwJq/IibBbRBazY2WLmK8H2yU9q7j3sizpoxlbj67KLDbZfGMSXsUpvMo4rMb1whcUFDbcUpQWxXUU/8TQ93NC8bBB8fPR2w8G+v70hz966JeP/OpF799Ir9w3VYn0RUh/E+mzUdbJJzS9urwbNycnJ2fylawNb3MDcFfALdFeiM/n6LMz7qVmvV+WsPKuxXl4yykz/eXqFGK8ye46Yl5lY3pJvrC64NYyvHVXGIvKdRClBnB07HlFRzNzp6ndYtZhwoLuhWD14ZstK6vCsbtFmEtptw1Pdyry+ZYZnqMvl3OTzS+k8DWU11KVhfA1VLhUeK1Wm3U9r6npdtGVVw3KJRPN94/Uf2+8Hg2Uo9e8EEJoyQ/+/XnPldWXeKP5qF+E+jOQPgPVnF5SmPTXSlnb7cbbjn8XZ686uws22m4BbKM8M3Wdzc2pXwYz7+uh9jXuUwOm3db+Uo+60rkAAAyESURBVHNkePPea+4ZpXd3K8dO8+aB5Rh2Snrz6bCW0EVbxN2ghSfDXPiaeRF+enpaJMppuqPMSdqpLf/eSDXSVyBdCRouQ0MlyP9FhBD62S8eD3zzxfpE3kgO6r+G+tOQNhX1X0Wiow9VSsQ5uQXDw8OumLd7CqtZEwAcw0z4mrsifHt7e0ZmvkiUXHv1gbFqNFCOBkqQrhgNSdBYOQrxRQj9y6O/WvNW0LqGy7wREepPRdoU1JeMtMnozpffz/znppLK5tLSUlfM272C1fPmAOAETgivcY3wExMT19IziyW12Qmbe29+b6AM6SRIV4x0hUh3E+kLUO0FlH4YiU+iirNImYT601DfVdSbjHoTkeYb1H8ZFR5dkp10/Lq4qKenZ85nDwAWEiGhYRq7wlercLXLhC8tLcvOrcxMPXHr6hJ9GdIVGVXvz0P9YjQkRtXn0IkPUPjOJVlfoJEM1JeEehNR72WkvoTUQqSOR61nvp927L8KJfX5+QVzPnsAsJAghSeN5ha+2pXCDw4OpqRmXb8uEie82pf/PV0x0t1Eunyky0P9OWggB43kob+8hRC676GHPd59y7PlItIlo97LSPMNUguN0XcJSY4uSTu3L0ssaW9vn9s5BICFBFP4akvhq10sfG5uXsb14vSkvzalLhkuu08vWaIvuk9/83sDBTx9LhrJQ6MFKOi/EUL3P+e17v+F/K42dslwOuq7+i99yff1Ji3pTVrSl3SfNnlJ58Xvpx9+Ilecn3ldPDEBz8ACAG7MhK+eT+E1GvXVq+lpKeeLkl7Dd56YqF85IVsxUbN8onrZeNWvJiqfmKh43FDzaPnFX/q9+qug3/rGHXpJK3psvHDFcN7KobxfD+f/ejh/5XD+ypH8lZOFy2u//kXql+9ey8ivra2bw5kEgIWEw8Ir5174nBzxdVFB1rd7qoSPVsYvq7ywrPLrZZXnfkXFExXnHq8493jNuceLzzwujn5EcubR8rNPlJ1dVvbVsrKvlpWdXVZORcXZZVXnHs/959qcjNS09OsDA/o5nE8AWDAYhVfaEF6Jq5W4ygXCX0vPKK+oqpOW10sr6qWVDdLqW7U1jXXStubG7o62XrVK19c70N870N+n7+/T6/oG+vsG+vv6e9VqZbda0d3R3NTUUNtYJ71VW9Mgra6vqWyQVstqpHl5BTO7iw4AFjyk8FVKo9cWwlO2u0J4sVj89dfnT5/+8vTps6dPnz195uyZL2O/PBt7NvZcbOyF2LgLcRcuXrgQf+FC/IWLwosXhRcuCsmX5y5cjDt3IS7ufGzcua/Oxn35VdyZL2NPnzl75szZM2e+/Oabb+Ry+RzOJwAsGGjhaefNha9ymfAGg6HWNcztTALAgoEpfJWl8FUuFh4AgPnETPgqEB4AFjCOCl8JwgOA+0MKX2lb+EoQHgAWBLTwldaEr6SFHwLhAcC9CQkN0wyZpDYXnh5QqcBqEB4A3JyQ0DD1EK5UmJznEl6BK0B4AHB/SOErFCbnOYSvMApPgPAA4NaEhIaphwjSaC7hFUbbKxQECA8A7g4lPOW8gi08bXs5CA8A7g8pfLnC5LxJ+BGj8EQ5CA8ACwJaeNr5EbbwxmHlCkIFwgOAmxMSGqYaMkldoSC4hS/rBuEBwO0hhS/rtiI8bTsIDwALAFp42nlz4clhIDwALACYwpPOs4SnB5SC8ADg/pDCl3abnGcIP2mgbS/tJlSDIDwAuDchoWGqQaPRRuEn2cKTw0q7CCUIDwBuTkhomHKQKO0yOc8SvpQSvgSEBwD3hxS+hBK+lFP4ki4QHgAWArTwtPPmwpPDQHgAWAAwhSedZwlPD5CA8ADg/pDCS7pMzpsLLyGjE4QHALfHKHyn0WsrwncSxSA8ALg/pPDFnUbnzYUnbSeFV4DwAODmhISGKWjhOwkJU/hhSvjiTqIIhAcA94cUvqjTlOSHWcJTtoPwALAAoIWnnWcJT9sOwgPAAoApPOk8l/ByolAOwgOA20MKXygniuRcwtO2F8qJbhAeANyckNCw7kGj0aTz5sIXgvAAsFBgCl9oKTw94Kac6NYTIaFhegAA3JaQ0LBuPXFTbnKeQ/ibcuJmBwgPAG6PUfgOk/PmwpO2F4DwAOD+kMIXdJicZwlP217QQXSB8ADg5oSEhnXpjUaTzrOFp2wH4QFgAcAUnnSeW/h8EB4A3B9S+HxrwtO257eD8ADg9hiFbzc5bxJ+aNJA234DhAcA94cU/ka7yfkhpvCk7SA8ACwMWMK3E/mcwt8A4QFgQUALf4NbeMr2PBAeANwfUvi8dpPzDOEnDLTtee1E1wAIDwDuTUhoWNeA0WjS7qEJtvDksLw2ohOEBwA3JyQ0rHOAyGszOc8lfBsID7gT5280bI3OeeFg2qKKrdE552802F4zJuHbuISn03suCA+4Cedy6585WbSidOSZW3hRxYrSkWdOFp3Lrbexckjhc9tMSd5C+DYiF4QH3IfAqOwVZSPvy4kvNdOLKt6XEyvKRgKjsm2sHFp42nm28JTtIDzgLrxwMO2ZBnxGPd03urjijHr6mQb8wsE0GyuHKTzpPEt4eoAYhAfcBFr43tGpRRWOCy9mJHIO4cUgPOA+gPA2Vg4tvNiO8K0gPOAeGIVXLT7hVQ4L32pdeNJ2EB5wF0jhT6ume0anFlWcdkp4ynmW8GKG8HIQHnAH5ln4b36PQlJsjNAU6Wl7hPkWXs4QXswhfCshbiVyQHjATXjhYNrTDfifymn1yNScR8kRT0Sx4+qU+uq7iMGOq1PqkSl1bdRzyAaen9bO/YypR6b+qZx+2jHhc1pNzpuEH5wwiFtBeMDNoIVXjUy5JpoiPN8VjkypaqM83kk3vnn1XUT/Xxvl4RlVYuXjwnc8I2pdMmMzEb6VGLQUPgeEB9wHlwtfG7XjSJNqJH2H57s7PM3Tt8eRJpcdaOZS+BxrwueA8IBbQQofo5xWDk+5IoTvGN3efqUp4r88I2qnlLVRHu+kK4enJIc9PQ43SQ5bHAbMDgqHm1wxYzFOCp9jKXwOCA+4Gy8cTPt1HfF5+2SVZmLu49IfEEJbLk38PQRtuXRrj0Vj/alPb5l/pOzYUyGpLpkZdnzePvnrOsIp4XOsCZ8NwgNugiuFv7XnuT9sCWEK77mnzKR0yqeetPApn3puuXSPCp9tW/hsEB5wH144mLaylvisbbJCNe6KOLEDBSSQf+s/tMzwEfUVqvEKVf2Hz3l+WDJeoRqvKDn6FHOM544mu2bGPmubXFnrqPDZIDywMCCF/7R1olQ57oqI2o7eFI5HbUdvhh9d/dzRb5XjpZKjq7enlirHvw33XB1eX6ocLxX+HiH0pnC8lDHU1fFp68QcCJ8NwgNuxTwIT7L6OUpvc+FT30SeH0hS30RodXj9PSt8tqXw2UzhdSA84Aa8cDBtRS1xsGW8qHvMFXF0O/K/OFbUXfcnj98fJd8sOrpq+9E/eSCEkP9FegTjyBxsT3HFjB1sGV/hiPA6gum1FeFbQHjAPSCF/+TOWEHXyKKKT+6MOSp8CwgPLBRAeBsrxzHhW0B4wG144WDactn0R01jefLhRRUfNY0tl007KnyLNeFbQHjAnSCFD2say+kYXlQR5qzwLZbCt5iGdYDwgDsAwttYOSGhYR1M4VusCC8C4QE34YWDactkU/sbR0VtQ4sq9jeOLpNNOSK8CIQHFgyBUdmPFQ9vqZ/8a+PIooot9ZOPFQ/bfUy1feFFIDzgPpA/RPGYZHipdGpRxWOSYUd+iIIUXmRNeBEID7gbZ8V1AcdEd/23n+Y5Ao6JzorrbK8ZpvAiS+FFIDwALCDMhBeB8ACwgAHhAWARAcIDwCIChAeARQQIDwCLCBAeABYRIDwALCJAeABYRIDwALCIAOEBYBEBwgPAIgKEB4BFBAgPAIsIJ4Rv1uJTF1NDQsMgICDcNE5dTG3WYoeEr1DgZi3u0BEQEBBuGs1aXKHgEt7Dw+Or8wmSTlb2h4CAWEgh6SS+Op/g4eGB/vCHP6xc/WznwN2fJwgICBdF5wCxcvWzvr6+aM+ePUtXecSeT6jvwa7+VggIiPmP+h4cez5h6SqP4OBgdPz48ffee+9nDz8Sez6hc4Ao6br78wcBATEnIekiOgeI2PMJP3v4kYCAgD179qCzZ88KBIL33ntv6SqPlauf/errhMEJAwQExAKIr75OWLn62aWrPAICAj744INPPvkEXb58+fTp0wKBYPfu3du2bVu6ygMCAmLBxPr167du3frnP//5k08++eKLL/4/eTpP2q1sbuoAAAAASUVORK5CYII=" alt="JavaScript判断数据类型总结" />

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" alt="JavaScript判断数据类型总结" 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" alt="JavaScript判断数据类型总结" />

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*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" alt="JavaScript判断数据类型总结" 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" alt="JavaScript判断数据类型总结" />

6.空值(Null)

  判断空值用 val === null 即可

1 function isNull(val){
2 return val === null;
3 }

测试代码:

JavaScript判断数据类型总结
 1 /*
2 判断变量是不是null
3 */
4 function isNull(val){
5 return val === null;
6 }
7 /*测试变量*/
8 var a;
9 var b = null;
10 var c = "str";
11 //弹出运行结果
12 alert("变量a是null的判断结果是:"+isNull(a));//false
13 alert("变量b是null类型的判断结果是:"+isNull(b));//true
14 alert("变量c是null类型的判断结果是:"+isNull(c));//false
JavaScript判断数据类型总结

运行结果:

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" alt="JavaScript判断数据类型总结" 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" alt="JavaScript判断数据类型总结" 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" alt="JavaScript判断数据类型总结" />

7.数组(Array)

  数组类型不可用typeof来判断。因为当变量是数组类型是,typeof会返回object。

  这里有两种方法判断数组类型:

JavaScript判断数据类型总结
 1 /*判断变量arr是不是数组
2 方法一
3 */
4 function isArray1(arr) {
5 return Object.prototype.toString.apply(arr) === '[object Array]';
6 }
7
8 /*判断变量arr是不是数组
9 方法二
10 */
11 function isArray2(arr) {
12 if(arr === null || typeof arr === 'undefined'){
13 return false;
14 }
15 return arr.constructor === Array;
16 }
JavaScript判断数据类型总结

测试代码:

JavaScript判断数据类型总结
 1 <script type="text/javascript">
2 /*判断变量arr是不是数组
3 方法一
4 */
5 function isArray1(arr) {
6 return Object.prototype.toString.apply(arr) === '[object Array]';
7 }
8 /*判断变量arr是不是数组
9 方法二
10 */
11 function isArray2(arr) {
12 if(arr === null || typeof arr === 'undefined'){
13 return false;
14 }
15 return arr.constructor === Array;
16 }
17 //测试变量
18 var a = null;
19 var b = "";
20 var c ;
21 var arr1 = [1,2,3];
22 var arr2 = new Array();
23 //打印测试结果
24 document.write("arr1变量是数组类型,typeof arr1 === 'object'的结果是:"+(typeof arr1 === 'object'));
25 document.write("<br/>");
26 document.write("------------------------------------------------------------------------------------------------");
27 document.write("<br/>");
28 document.write("使用isArray1方法判断结果如下:");
29 document.write("<br/>");
30 document.write("------------------------------------------------------------------------------------------------");
31 document.write("<br/>");
32 document.write("变量a是数组类型的判断结果是:"+isArray1(a));
33 document.write("<br/>");
34 document.write("变量b是数组类型的判断结果是:"+isArray1(b));
35 document.write("<br/>");
36 document.write("变量c是数组类型的判断结果是:"+isArray1(c));
37 document.write("<br/>");
38 document.write("变量arr1是数组类型的判断结果是:"+isArray1(arr1));
39 document.write("<br/>");
40 document.write("变量arr2是数组类型的判断结果是:"+isArray1(arr2));
41 document.write("<br/>");
42 document.write("------------------------------------------------------------------------------------------------");
43 document.write("<br/>");
44 document.write("使用isArray2方法判断结果如下:");
45 document.write("<br/>");
46 document.write("------------------------------------------------------------------------------------------------");
47 document.write("<br/>");
48 document.write("变量a是数组类型的判断结果是:"+isArray2(a));
49 document.write("<br/>");
50 document.write("变量b是数组类型的判断结果是:"+isArray2(b));
51 document.write("<br/>");
52 document.write("变量c是数组类型的判断结果是:"+isArray2(c));
53 document.write("<br/>");
54 document.write("变量arr1是数组类型的判断结果是:"+isArray2(arr1));
55 document.write("<br/>");
56 document.write("变量arr2是数组类型的判断结果是:"+isArray2(arr2));
57 document.write("<br/>");
58 </script>
JavaScript判断数据类型总结

运行结果:

  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" alt="JavaScript判断数据类型总结" />

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