CSS函数（一）

大家都知道js函数，你们清楚css的函数么？

rgb()

对，没错，这就是一个典型的css函数。

那大家知道css有多少函数么，鄙人从w3cplus摘录了一些常用的css函数,w3cplus将其分为9大类，如下:

属性函数：attr()

颜色函数：rgb()、rgba()、hsl()、hsla()、hwb()、color-mod()

背景图片函数：linear-gradient()、radial-gradient()、conic-gradient()、repeating-linear-gradient()、repeating-radial-gradient()、repeating-conic-gradient()、image-set()、image()、url()、element()

数学函数：calc()、min()、max()、mixmax()、repeat()

转换函数：matrix()、matrix3d()、perspective()、rotate()、rotate3d()、rotateX()、rotateY()、rotateZ()、scale()、scale3d()、scaleX()、scaleY()、scaleZ()、skew()、skewX()、skewY()、translate()、translateX()、translateY()、translateZ()、translate3d()

图形函数：circle()、ellipse()、inset()、polygon()、path()

滤镜函数：blur()、brightness()、contrast()、drop-shadow()、grayscale()、hue-rotate()、invert()、opacity()、saturate()、sepia()

缓动函数：cubic-bezier()、steps()

其他函数：counter()、counters()、toggle()、var()、 symbols()

那我们就详细的介绍一下这9大类css函数吧，由于函数太多，将分为三部分并对其中常用及常见的函数进行讲述，并不会全部讲述。

一、属性函数

1.attr()

相信大家对attr()这个函数并不陌生，在jQuery中是不是使用过。

<!DOCTYPE html><html lang="en"><head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title></head><body>    <input class="test-ipt" value="12" type="text"></body><script src="https://cdn.bootcdn.net/ajax/libs/jquery/1.10.0/jquery.min.js"></script><script>    $('.test-ipt').attr('value')   //拿到类名为test-ipt的input的值会为12</script></html>

在jQuery中attr()函数是用来返回被选元素的属性值的，在css中也是用来返回被选元素的属性值的，用法肯定是完全不一样。

1.1用法

<!DOCTYPE html><html lang="en"><head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-a::after {
  
              content: "-----使用attr()函数拿到a标签的href属性值为:"attr(href);            color: red;            text-decoration: inherit;        }</style></head><body>    <a class="test-a" href="www.baidu.com">百度</a></body></html>

效果图

1.2浏览器支持

函数
attr()	2.0	3.0	1.0	3.0	9.0

二、颜色函数

1.rgb()

rgb()想必大家都不陌生吧，经常用吧，用来生成颜色的

R：红色，值为0 到 255 间的整数，也可以使用0%到100%

G：绿色，值为0 到 255 间的整数，也可以使用0%到100%

B：蓝色，值为0 到 255 间的整数，也可以使用0%到100%

1.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              width: 100px;            height: 100px;            background-color: rgb(68, 111, 222);        }</style></head>
<body>    <div class="test-div"></div></body>
</html>

效果图

1.2浏览器支持

函数
rgb()	1.0	4.0	1.0	1.0	3.5

2.rgba()

rgba()与rgb()一样都是用来用来生成颜色的，但是rgba()可以修改颜色透明度

R：红色，值为0 到 255 间的整数，也可以使用0%到100%

G：绿色，值为0 到 255 间的整数，也可以使用0%到100%

B：蓝色，值为0 到 255 间的整数，也可以使用0%到100%

A：透明度，值为0到1之间的数值（0完全透明，1不透明）

1.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              width: 100px;            height: 100px;            background-color: rgba(68, 111, 222, 0.5); /* 透明度的0.5的0可以省略直接写成.5 */        }</style></head>
<body>    <div class="test-div"></div></body>
</html>

效果图

1.2浏览器支持

函数
rgba()	1.0	4.0	1.0	1.0	3.5

3.hsl()

hsl()使用色相、饱和度、亮度来定义颜色，对于做设计的人来说这三个词并不陌生吧

H：色相，色彩的基本属性，如蓝色、黑色，取值范围0到360（0或360为红色，120为绿色，240为蓝色）

S：饱和度，色彩的纯度，值越高越纯，值越低越灰，取值范围0%到100%（0%为灰色，100%为全色）

L：亮度，值越高颜色向白色变化，值越低颜色向黑色变化，取值范围0%到100%（0%为黑色，50%为正常，100%为白色）

3.1使用

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              padding-left: 10px;            width: 400px;            height: 40px;            line-height: 40px;            color: red;        }
        .div1 {
  
              background-color: hsl(240, 0%, 50%);        }
        .div2 {
  
              background-color: hsl(240, 100%, 50%);        }
        .div3 {
  
              background-color: hsl(240, 100%, 0%);        }
        .div4 {
  
              background-color: hsl(240, 100%, 100%);        }
        .div5 {
  
              background-color: hsl(120, 100%, 50%);        }</style></head>
<body>    <div class="test-div div1">background-color: hsl(240, 0%, 50%);</div>    <div class="test-div div2">background-color: hsl(240, 100%, 50%);</div>    <div class="test-div div3">background-color: hsl(240, 100%, 0%);</div>    <div class="test-div div4">background-color: hsl(240, 100%, 100%);</div>    <div class="test-div div5">background-color: hsl(120, 100%, 50%);</div></body>
</html>

效果图

3.2浏览器支持

函数
hsl()	1.0	9.0	1.0	3.1	9.5

4.hsla()

hsla()与hsl()一样都是使用色相、饱和度、亮度来定义颜色，但是hsla()多了一个透明度

H：色相，色彩的基本属性，如蓝色、黑色，取值范围0到360（0或360为红色，120为绿色，240为蓝色）

S：饱和度，色彩的纯度，值越高越纯，值越低越灰，取值范围0%到100%（0%为灰色，100%为全色）

L：亮度，值越高颜色向白色变化，值越低颜色向黑色变化，取值范围0%到100%（0%为黑色，50%为正常，100%为白色）

A：透明度，值为0到1之间的数值（0完全透明，1不透明）

4.1使用

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              padding-left: 10px;            width: 400px;            height: 40px;            line-height: 40px;            color: red;        }
        .div1 {
  
              background-color: hsla(240, 100%, 50%, 0);        }
        .div2 {
  
              background-color: hsla(240, 100%, 50%, .5);        }
        .div3 {
  
              background-color: hsla(240, 100%, 50%, 1);        }</style></head>
<body>    <div class="test-div div1">background-color: hsla(240, 100%, 50%, 0);</div>    <div class="test-div div2">background-color: hsla(240, 100%, 50%, .5);</div>    <div class="test-div div3">background-color: hsla(240, 100%, 50%, 1);</div></body>
</html>

效果图

4.2浏览器支持

函数
hsla()	1.0	9.0	1.0	3.1	9.5

三、背景图片函数

1.url()

url()想必大家都不陌生，用于背景图资源，可以写入绝对url，相对url或数据格式的url，url()中的引号可加可不加

1.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              width: 360px;            height: 200px;            background-size: 100%;        }
        .div1 {
  
              /* 带引号的url地址 */            background-image: url('https://mmbiz.qpic.cn/mmbiz_jpg/D1DIysCG0CEUDia6vu4eA5R9p6lyhltxktAFo0dUichuNjpNsnnlibiadZ33TJGibLUxmicsesnYVjy7WKOOycDsLQ6Q/0?wx_fmt=jpeg')        }
        .div2 {
  
              /* 不带引号的url地址 */            background-image: url(https://mmbiz.qpic.cn/mmbiz_jpg/D1DIysCG0CEUDia6vu4eA5R9p6lyhltxktAFo0dUichuNjpNsnnlibiadZ33TJGibLUxmicsesnYVjy7WKOOycDsLQ6Q/0?wx_fmt=jpeg)        }
        .div3 {
  
              /* base64的图片地址 */            background-image: 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HsbOv8A3eqzrfTVitFH3v8AYZaAQB737w8E7kjjjGTyCDdbbHaup7FTVujtRWqwR0znvrqm4hu4WYG6BvRv45zyA9a40sFNd9V1d9tjtV2Kho6qp79q57hVtpYaqbedhwBaHHiXHG6AO0A4XUPdNbP4dRabrNQ1F2r4Y7RQyytoWPzFJIOLXkE4b2g4GSO3gqGr7Hdm7Horg/ZvaoKE0kbvfAKpnTFuQBIWb2cnly7UE2sUV7s23HS4uU1Hd7rT6ce6J1uDeimaGzGNseGtGMboHAetWB3Jr6aq0tfq+aUvv9Xc5JLkx4IdG77VpB9frz4lCrXWxW7bromtqA8w0+kopX9G3edhsMhOBzJx4ltO59vFNqHbfr28aeimisVZEyQB7Nwb5c3iRyBJ3z6Cgyu6Q22U9loqrS+lalst3maY6qqidltK082gjm88QfufTyqzZpBdrFp6KWwbVNLWJtcG1E1LPI3pmuxjD95hOQOzPjV5d0Bo6w27Z/rTUVJbYI7zXQRtmqd3wiA9gOPFntxzwqg0Tbq2XSVpfFsRpb1G6naW3F1Rg1I+7Ix2oPq+671xYq6ziPalar8yqq2QyQ23o3uY3IyXeAOB4hdkA5APjXDe0WkqKav00ajZrBo4OuDMTxy75n4jweXDHNdwySCGndI4EhjN448wQeqKpNjm2WDaTertbo7LLbjRMEjHuqOk6Ru9jiN1u6eXDj+hfGtdtdPpfalbtHPsktT306Bj6wVG5uGU4GGbp3gM/dBBbyKEbXteM2daSde3299wPTNhbA2XowS7PEuwccj2LP2b6rZrfRluv8dI6jFW0kwOfv7hDiD4WBnlzwEEoREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQF8yND2lrgC0jBB4gr6RB/O3bnol2hNolxtsTC23THvqiPZ0LycNH4JDm/i+dWf3HOuPc7UNZpGulxTXLNRSbx4NnaPCb+MwfKweNWp3Vuh/fNs/N4o4t65WTeqBgZL4D/pG+rAf+KfGuKLPcam0XSkuNBKYqullbNE8fauacg/KEH9RkUd2faoptY6Otd+o8BlZCHvYDno5Bwez1OBHqUiQEREBERAREQEREBERAREQEREBEVV90frb3l7Na11LLuXS5ZoqXdPhN3h4bx+C3PHsJag5N7oXW3v22k11RTyb9soc0VHg8CxhOXj8JxJ9GPEpx3H2ivdfV1Tqesi3qO0N3IMjg6oeP07rcnzFzSufqeGSonjhgY6SWRwYxjRkuJ4AAL+jmyLR8ehtAWuyNa3vljOlqnj7ed3F5z24PgjzNCCZoiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIggO1nZzFtCisrJrk+hFsqu+huwiTpDgcOYxyWVrLQNBf9HXKw217bIa2QTOqKKMNIkyCXFrS3ezjB48VNEQQLZDs2t+zWwVNut9XPWSVMvTTTzNDS44wAAOQAHLjzKl9PaqGltz6ClpIYKJzXNMMTdxuDz4Dx5PFZyIK9q9kumHaAuekLfTPoLZXSmdxjcXvZJvBwcC7OcboGDngFXkXc7XCGjFJFtJv8dK1nRiFjXBgb9zuiTGMdmF0KmEFc6Z2R6ctOz5mka6J10t/TiqldUeCZJA4HPDkOAGPFwW315pGa/6NNisF2qNOvaYxBUUO8zomt+0DWublpGRjIUvRBQdu7mixy1DKnVWob3fagcXb8gja7zHO87HocpRddgmzq42yOjbYW0ZjbusnppnslHnJJO8fwsq1EwgrTZPsuGzqsuPe2oLncbdO1raejqXeBT4JycA7pceHENC99qmyexbS5rdLfaq507qBr2x95ysbvB5aTvbzHZ+CFYmEwgprRnc86T0lqe33223C+y1dFJ0kbKiaFzCcEcQIge3xhbDa/satu0u622urbjUUElJE6J3QRhxlaTkAk8scfHzVq4TCCN6A0hbtD6VpbDaTM+lg3iXzEOfI5xy4nAxzPYtJZtkejbUy+sZaIaiK8ymSoZUAPDQeO4zta0HJHb+hT/CYQUNcu5c0PVVEktLWXuia74MUU7HMZ6N9hd8pWA3uU9KB43r3fC3tAdCD8u4uiEQQt2zu0nZkNDNnq2WnvcU3Stc3piM5znd3ck/1VWPVU0X/AL31F/bQ+yXQSIOfeqpoz/e+ov7aH2S2One5r0lYr7QXWlud8knop2zxtllhLS5pBAOIxw4K8UQanVNiptTacuNlr5Jo6WuhdBI+FwDw088EgjPqKpbqq6I/3pqT84g9ir/RBWlNsppKbaDZdTRXKZzLZbW2xlJLCHdJG1rmgudw44dy3exT+12ugtNMKe1UNLRU44iKmhbG35GgBZiIIztJ0r79dFXPT/fneXfrGt6fouk3MOB+DkZ5eMLK0NYPetpC0WLvnvrvCnbB0/R7nSYHPdycejJW8RBSWoNhEeoNoZ1FdtUXGegbVNqYbaWEiLBBLWvLzhpIzwaOHDzq7MDHHiF+og1Fl03Y7HUVE1ms9ut81Qfs0lLTMidJxz4RaBniUrNN2Otu0N1q7Nbqi5w46OrlpmPmZjluvIyMelbfCYQYF4tFuvdC6jvFDS19I4hxhqYmysJHI7rgRkL1t1BSWyiio7dTQUlJEN2OGCMMYweINHALKwmEBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQecsTJonxSta+N4LXNcMgg9hHiX869tGin6D2g3K0Na4ULj3xROP20D87vpwctJ8bSv6MKiO610P74dCtv1FFvXGyZkdgZL6d3wx+LgO8wDvGgrruN9cd53at0dXS4hrc1VFvHgJWjw2+toB/EPjXXi/l3YLrV2O9UV0t0nR1lHM2eJ/ic05GfN5l/SfQ+o6TVuk7ZfLefsFbCJN3OSx3JzD52uBB9CDeoiICIiAiIgIiICIiAiIgIiIC4H7pnWU+qtp1fTCQm3Wd7qKnjB4bzTiR3pLgR6APEu+FxhtT7nzWcutLrXaaoobpba2pkqYy2pjifHvuLixwe5vLOMgnI48OIQVDs61DSaT1lbr7W2oXVlE/pWUpn6IGQDwXb2674Jw7l2BdB9bn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9SnW5+JP0t9Sqr6vu07yZ+f0vtU6vu07yZ+f0vtUFqdbn4k/S31Kdbn4k/S31Kqvq+7TvJn5/S+1Tq+7TvJn5/S+1QWp1ufiT9LfUp1ufiT9LfUqq+r7tO8mfn9L7VOr7tO8mfn9L7VBanW5+JP0t9Svio7rCKpgkgqNDNkhkaWPY665DmkYIP2FVd1fdp3kz8/pfap1fdp3kz8/pfaoKyrnwS1s8lHC6npnSOdFE5++Y2k8Gl2BnAwM4GV0h3GutZqe9V2j6yVzqSpjdV0gcfgStxvtHmc3j+J5yq86vu07yZ+f0vtVa/c67EtU6Z11T6j1VBFb46KOQQwCdkskj3sLOO4SA0BxPPOccEHU6IiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIi+C4b2BxKD7RAvkndGXcvGg+kREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBERAREQEREBYz4zPTTROkcDJvN34yWubngCD2EePxhZK1sUjqOuFM+IiCd7nQyNBI3jlzmu8X2xB5dnMDIZdJA2mi6JjpHMBJG+9zyM8cZdk/p83LAWogn3K2r9zIaqse8kPkkmcIGPDid0OcT90R4DSBu4OMYGwuxPeZY17ozK9kRe0kOAc4NOCOIOCcHsX7NRud3sKeeSmZARiOMDdcMjwSPFgEebOeYBQetCZxTt77jjjm45bE8va3icAEgZ4Y7AvcHK8ZKcvnik6aVoZnwAfBdnx+NfTCRK9uBugA57cknP/AJ86D1RajUrS2lpqtgJfSVMc3oaTuPP5D3rTNuMlVeZq3h3tQ3UUDXN5uY+JjXD+2c3P4CCYIodY3uqKjVl5jJaXzOpYHNZvkMp2bvAZGfshlOOC1dBPJQ2CfvCj1LWXOanLm1dQC4SS7uWv3TIWtGccBjhwQTCqrpYtS26haG9BPTVEz8jjvMdCG4832R36FtVFL7C+6X+x0M89XTU0lNUVE8dNMYnPcwwgNL24dujpDkAjJAzyWdNN7n6hs9BC+RzKiCcOa95eSGbhDi5xJON7Gf6yDGFffayvuEdvgtrKemn6GM1Dn70mGsJdw7MuI9SxnXe9ttbbi+WxtonNa4SnphkOIDTjGeOR8q8GyxQxal6SpbTTTXI0tPI4E7sskMLGcOfNw/X2ZXzWQ282Kz2yGoYwRNp5ZIsZLoKWRm+Mg4Aa4jPm3sZ7A3lJeSKm9Nr+jjhoJ44g9jSch0Ub+OM58J5HowsSh1PRvrZw+rbJTzzxxUpZHI47zg1u6RuADwuPM4ySSAF7af43/VI/+si//rRLS2Komqq7SNK6Z7zS0E8tQ4uPhvZuQje8eS6Q+pBubtd6a1aggfdLvQUNE+meGx1NQyMvk328QHEZGM/KtnQXCmutEKq1VUdTTuLmtlicHNcWkg4PLmPQo/ZbnJebpQXmGyXaGmqaPcjmmdTdGI37rw4hspf2Dhg8+xbOjnF4tVDd4ZKmna6B0ohD8NdvN4b+BxI7MdqDFvN8rKTS/frabvW4SzMp4IKlgcS98oY3wWu45zvYznCyKeouUF6t9DWywTtfSVEsskEBiaXtkiDMAudjwXu+2OTxWipqaaosGmryYBcq+Gkp3MFbWPjjY50eHSnDH+Hx+EQeBPEcV+3t8tdc7VbrvR7tfVyOHQ0F2qAxtM1uZJJN0R5wcNAIOS4cexBLLpNUU1HLUUsD6l8THP6CPAfIQODQScceX/pgrjLLHaamZodFK2BzwCRlpDc9nDK02rI5qK21lZBXVgfJJTtEYkw2P7Kxp3ccRkc+J5rKrbdNRiur2XS4PPRyPbC97TGw4OMDdzw7MnsQZun5pJ7Fbppnl8slNG97jzJLQSVsFF9OWqaSjtVwqLxdZ5DEyd0b5W7jnOZ9sA0ZHhE45cApQgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgLFuFK6ra1gqZ4Y+IeITul4PZvc2+kYPnCykQak2SkZHu0okpyMlgZI7ca7mHdHndJzx4jmvSK6wCdlLXObS1jjutilcB0h4/6Mng8cM8OIHMA8Fsl8SxRysLJWNew82uGQg8Ki4UdPUQ089VTxVE2RFFJIGukP8AVB4n1LytvSzB1ZUQ9BLMABETlzGDJaHccb3Ek44DOOOMn7bbKEU8tOKKmEEo3XxiJoa8eIjtWTGwRsDW8hw4nJ/Sg8quOWWllZTPiZM5pDHSxmRgPnaC3I82QtTa7NVWvT5o6arp317pXzvqZqYuY6V8hkc4xh4PNxx4XDgt8Ewg1OnLQLPYKS29MZnQsw+bd3TI8kuc/GTjLiTzPNYk9rvUj2RRXyKmomOHCGiaJi0H4O+XFo8WQwKQog09woblLcmVNJcYIIo4CxkL6QSeGSCXOdvAkYAG6N3jxJPADGslgkpLpPdbpXOuFzljEIk6MRRwx5zuMYCcAnickk4HHgpCiCH2yzy3HUU9yuIljp6KskNHTOiDGvcWNb057XH4bWk8gvWqsFJRm8V9fFPcBWxCkEFPEfsVNy6JjQc4ySSRjJOeGApWiCJ2KO5zx36tpqb3NmrKpjqUV0e8QxsUTC57GuHMtdgbwPLPiXpbbFU2zcqaq7VlTHSscWUVLBHBBjB8ERsG8efAFx44UoTCCJaZqbjQWS2Ug0/WRUdNSxxMMlRE6YNawABzRjwsDivWyRXC36Coo4KDpblFSNaKWV4YC/GMOJ4DzqUYRBBqSDUNpY6kp6Y3K41DWPdUyvbDQUoHgtZGwHf3Wgcg3J5lwzw2DKeez1NTcpLTJcLlURRxyzUTh4QaMBrWSP8AAbk5w0nxlSlEGl1T7pSUEdPZ6WlmqJpWtMlUcx04HhdIW83EEDAHaQcgBeXeM9s0rVwSVFXdKoxSOdI8AySvdkkBowAMngOQHBb9EGvsET4LFboZmFksdNGx7TzBDQCFsAiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIgIiICIiAiIg//9k=')        }</style></head>
<body>    <div class="test-div div1"></div>    <div class="test-div div2"></div>    <div class="test-div div3"></div></body>
</html>

效果图

1.2浏览器支持

函数
url()	4.0	6.0	4.0	4.0	15.0

2.linear-gradient()

linear-gradient()创建一个表示两种或多种颜色线性渐变的图片

linear-gradient(direction,color1,color2,…)

参数1：渐变方向，也可以为角度值

后续参数：渐变的起止颜色

2.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              margin-bottom: 10px;            width: 500px;            height: 60px;            line-height: 60px;            color: #fff;        }        .div1 {
  
              background-image: linear-gradient(to right, blue, red); /*参数1：渐变的方向，也可以为角度 后续参数：渐变的起止颜色*/        }        .div2 {
  
              background-image: linear-gradient(to right, blue, red, yellow);        }        .div3 {
  
              background-image: linear-gradient(to bottom, blue, red, yellow);        }        .div4 {
  
              background-image: linear-gradient(45deg, blue, red, yellow);        }</style></head>
<body>    <div class="test-div div1">background-image: linear-gradient(to right, blue, red);</div>    <div class="test-div div2">background-image: linear-gradient(to right, blue, red, yellow);</div>    <div class="test-div div3">background-image: linear-gradient(to bottom, blue, red, yellow);</div>    <div class="test-div div4">background-image: linear-gradient(45deg, blue, red, yellow);</div></body>
</html>

效果图

2.2浏览器支持

函数
liner-gradient()	26.0	10.0	16.0	6.1	12.1

3.radial-gradient()

radial-gradient()创建一个表示两种或多种颜色径向渐变的图片

radial-gradient(shape size position,color1,color2,…)

参数1：

圆的类型

ellipse：椭圆形的径向渐变（默认值）

circle：圆形的径向渐变

渐变的大小

farthest-corner：径向渐变的半径长度为从圆心到离圆心最远的角（默认值）

closest-side：径向渐变的半径长度为从圆心到离圆心最近的边

closest-corner：径向渐变的半径长度为从圆心到离圆心最近的角

farthest-side：径向渐变的半径长度为从圆心到离圆心最远的边

渐变的位置（值前需要添加 at）

center：设置中间为径向渐变圆心的纵坐标值（默认值）

top：设置顶部为径向渐变圆心的纵坐标值

bottom：设置底部为径向渐变圆心的纵坐标值

后续参数：渐变的起止颜色

3.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              margin-bottom: 10px;            width: 500px;            height: 60px;            line-height: 60px;            color: #fff;        }        .div1 {
  
              background-image: radial-gradient(blue, red);        }        .div2 {
  
              background-image: radial-gradient(circle, blue, red);        }        .div3 {
  
              background-image: radial-gradient(circle closest-side, blue, red);        }        .div4 {
  
              background-image: radial-gradient(ellipse closest-corner at center, blue, red);        }</style></head>
<body>    <div class="test-div div1">background: linear-gradient(to right, blue, red);</div>    <div class="test-div div2">background: linear-gradient(to right, blue, red, yellow);</div>    <div class="test-div div3">background: linear-gradient(to bottom, blue, red, yellow);</div>    <div class="test-div div4">background: linear-gradient(45deg, blue, red, yellow);</div></body>
</html>

效果图

3.2浏览器支持

函数
radial-gradient()	26.0	10.0	16.0	6.1	12.1

4.conic-gradient()

conic-gradient()创建一个表示两种或多种颜色锥形渐变的图片

conic-gradient(angle position,color1,color2,…)

参数1：

渐变起始角度（值前需要添加 from）

中心位置（值前需要添加 at）

center：设置中间为径向渐变圆心的纵坐标值（默认值）

top：设置顶部为径向渐变圆心的纵坐标值

bottom：设置底部为径向渐变圆心的纵坐标值

后续参数：渐变的起止颜色

4.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              margin-bottom: 10px;            width: 180px;            height: 180px;            line-height: 40px;            color: #fff;        }        .div1 {
  
              background-image: conic-gradient(blue, red);         }        .div2 {
  
              background-image: conic-gradient(from 45deg, blue, red);        }        .div3 {
  
              background-image: conic-gradient(from 45deg at top, blue, red);        }        .div4 {
  
              background-image: conic-gradient(red, magenta, blue, aqua, lime, yellow, red);        }</style></head>
<body>    <div class="test-div div1">background-image: conic-gradient(blue, red); </div>    <div class="test-div div2">background-image: conic-gradient(from 45deg, blue, red);</div>    <div class="test-div div3">background-image: conic-gradient(from 45deg at top, blue, red);</div>    <div class="test-div div4">background-image: conic-gradient(red, magenta, blue, aqua, lime, yellow, red);</div></body>
</html>

效果图

4.2浏览器支持

函数
conic-gradient()	81.0	–	–	13.0	67.0

四、数学函数

1.calc()

calc()用于动态计算长度值

需要注意的是，运算符前后都需要保留一个空格，例如：width: calc(100% – 10px)；

任何长度值都可以使用calc()函数进行计算；

calc()函数支持 “+”, “-“, “*”, “/” 运算；

calc()函数使用标准的数学运算优先级规则；

1.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              margin-bottom: 10px;            width: 200px;            height: 200px;            line-height: 40px;            color: #fff;        }        .div1 {
  
              width: calc(200px + 100px);            height: calc(200px - 110px);            line-height: calc(200px - 170px);            background-color: red;        }</style></head>
<body>    <div class="test-div div1">经计算样式值为：width:300px;height:90px;line-height:30px;</div></body>
</html>

效果图

1.2浏览器支持

函数
calc()	26.0	9.0	16.0	7.0	15.0

2.min()

min()比较数值的大小并取出最小的值来使用

2.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              margin-bottom: 10px;            width: 200px;            height: 200px;            line-height: 40px;            color: #fff;        }        .div1 {
  
              width: min(200px, 100px);            background-color: red;        }</style></head>
<body>    <div class="test-div div1">在200px和100px中选出最小的100px</div></body>
</html>

效果图

2.2浏览器支持

函数
min()	17.0	10.0	10.0	6.0	12.0

3.max()

min()比较数值的大小并取出最大的值来使用

3.1用法

<!DOCTYPE html><html lang="en">
<head>    <meta charset="UTF-8">    <meta name="viewport" content="width=device-width, initial-scale=1.0">    <title>Document</title>    <style>        .test-div {
  
              margin-bottom: 10px;            width: 200px;            height: 200px;            line-height: 40px;            color: #fff;        }        .div1 {
  
              width: max(200px, 100px);            background-color: red;        }</style></head>
<body>    <div class="test-div div1">在200px和100px中选出最大的100px</div></body>
</html>