CSS实现表格细边框的三种方式

说到表格，虽说随着前端技术的发展div已经遍地开花彻底推翻了table布局的时代。可是当遇到报表之类的操作是table还是非常值得使用的。

由于操作表格的时候不可避免使用到细边框效果，所以我就整理了一下常用的三种实现细边框表格的方式，分享给大家，代码如下：

<!DOCTYPE html>
<html xmlns="http://www.w3.org/1999/xhtml">
<head><title>细边框表格的实现方式</title><style><span style="color:#009900;"> /*可以应用于所有浏览器,但是需要设置table的标签属性:border="0" cellpadding="0" cellspacing=1*/</span>.demo1 {background-color: #ccc;}.demo1 th,.demo1 td {background-color: #fff;}<span style="color:#009900;"> /* 利用表格样式:{border-spacing:0px;}和表格与单元格背景色的不同来实现细边框。[注:IE7及以前的浏览器不支持border-spacing]*/
</span>        .demo2 {background-color: #ccc;border-spacing: 1px;}.demo2 th, .demo2 td {background-color: #fff;                }<span style="color:#009900;"> /* 为表格设置合并边框模型:{border-collapse: collapse;} 实现细边框。[注:如果没有规定 !DOCTYPE,则 border-collapse 可能产生意想不到的结果。] */
</span>        .demo3 {border: 1px solid #ccc;border-collapse: collapse;}.demo3 th, .demo3 td{border: 1px solid #ccc;}</style>
</head>
<body><p>Demo1</p><table class="demo1" border="0" cellpadding="0" cellspacing="1"><thead><tr><th>Title1</th><th>Title2</th><th>Title3</th></tr></thead><tbody><tr><td>Row1-01</td><td>Row1-02</td><td>Row1-03</td></tr><tr><td>Row2-01</td><td>Row2-02</td><td>Row2-03</td></tr></tbody></table><p>Demo2</p><table class="demo2"><thead><tr><th>Title1</th><th>Title2</th><th>Title3</th></tr></thead><tbody><tr><td>Row1-01</td><td>Row1-02</td><td>Row1-03</td></tr><tr><td>Row2-01</td><td>Row2-02</td><td>Row2-03</td></tr></tbody></table><p>Demo3</p><table class="demo3"><thead><tr><th>Title1</th><th>Title2</th><th>Title3</th></tr></thead><tbody><tr><td>Row1-01</td><td>Row1-02</td><td>Row1-03</td></tr><tr><td>Row2-01</td><td>Row2-02</td><td>Row2-03</td></tr></tbody></table>
</body>
</html>

<strong>效果图：</strong>

<img 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" alt="" />

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