npm

npm install swiper

vue组件引入swipe

需要在swipe.vue组件中的script里引入swiper和swiper的css文件

<script>
import { mapGetters } from "vuex";
import Swiper from 'swiper'
import 'swiper/css/swiper.css'
export default {
  mounted: function() {
    new Swiper(".swiper-container", {
      loop: true,
      pagination: {
        el: ".swiper-pagination"
      }
    });
  }
};
</script>

路径修改

注意引入格式：swiper/css/swiper.css。因为之前很多项目的引入格式都是swiper/dist/css/swiper.css，大家一不小心就会忽略这个细节问题。

json文件的img路径写法

本组件的数据来源是我自己写的json文件。如果在json文件写img的路径，不可以用相对路径。因此在这里我用的路径是在大众点评本网获取的数据。

{
  "name": {
    "type": ["美食", "酒店", "休闲娱乐", "外卖", "火锅", "丽人", "周边游", "KTV"],
    "url": [
      "data:image/png;base64,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",
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",
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      "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJYAAACWCAMAAAAL34HQAAAC91BMVEUAAACPU8p9Tcd+TcehWc2fWM2TVMuIU8qnWs1/TsekWc1/TsiBT8h8TMamWs18TMeJU8qlWs1+Tcd/TsegWM1/TsiJU8p/TsicWMx+TceJU8qPU8qgWM2kWc19TceHUsqCUMmYV8x+Tsd+Tcd/Tsh9TceiWc2nWs2hWc2EUMmVVct+TcemWs2dWMylWc2OVMucV8ySVcuDUcmnWs2JU8p8TMagWM1+TceJU8p+TseXVsyJU8qnWs2SVcuXVsyJU8p+TseXVsx+Tcd+TceFUcl+Tsd7S8GXV8yXV8ynWs2FUMmaV8yVVsuiWc2lWc18TMamWs2NVMukWc18TMZ8TMZ8TManWs2LVMqGUsqdWMyQVcuiWc2fWMynWs2nWs2AT8h+Tcf///9/TseHU8p9TMaEUcmDUcmeWMyFUsmdWMyjWc2ZV8yGUsqXV8yMVMuTVsuQVcumWs2CUMmLVMqkWc2JU8qKVMqOVMv/9PyCUMebV8ygWMyhWcyVVsuUVsuWVsyRVct/T8inWs2NVMn87fqKU8j+8fv97/v/8/yRVcn55/iFUciJU8j24vWPVMn66fmHUsX76vmFUcSDUMOGUsn45Pf03vR+TsB9TcPy3PPnzuj7+P2OVMqSVcmHUsd+TsV7TL/9+/7w2fHkyuaRVsqTVcmJVMmDUMaAT8SBT8H07vnw1/Hu2e7r1uvo0uqJUsfp1OnhxeWMU8h8TLr14PTw2+/r0u3w5/jm2PLZxe3z3vLk0/Hpz+vs4/bt1O/fze/pyebFqOPAmN+yi9qidtSYW8x/T8J+Tb3y0e/vz+3s1+zRt+jKq+S/oOC5lN21kdmpgdaLVsn06Pb15fXw4fTcyu7szOrnyurKr+Tmx+PFouG6mduvhtmme9Wha9GZaM+ifc6XY82QW8v59fz28fv58fnx3fDXwOvewOGwgtWti9OjctGdXs6JWcqRaMWIW8CCVcB4Srrq3vTUverYteXOteXUvOSQYc2absn00/GSXs2bdcyMYMVTW0qkAAAAX3RSTlMAC/dgHiMZ8u3phiT47cXFspiXhHtvYiopIB4DOPbx6sXDm46LgG9hXEAHOfnz8u7n3t7a2trLy8e/l5aNjYOCeGBdUzcc/fn3sgn36+nm4uDDvrOxoJ+fn5xtU05As8kFA3gAAAldSURBVHjazNW/qoJgGAbwN9D4cBAEh0AdXFQiJRCcXBojimgIojrQJCpnEJw6Td5Gd+ANnKBNOFN30NB+oIs4w1kOh8w/n99nvyt4eN8HHsDEbHVuOeZthKwksRCy+bclp28ZaE1PF3iU5EC8oPeANlYbo6QQGmssUCO7dlKa7cpAQc+dRxXNXcLv7Oh8VAuvd4CULoei2hDXBRIYYRBhGQhM85f6DfVawTqcEjVC4RrsmDGLGzMzoBnsIm7UggV8kqjEDVNECftUfEwAz2K2ygqIsHAa1hcCYoQ+1MQ4AUEOA7XI04CoqQw1rJWAMGUNlWkHCjSoSDxQIUIl3Acl3EumqpRL9CgSS7fdo6pk7zceZRsoQTY9ykwZCjFDj7ohU7jOjt8Cp2i3V34rVvCU4bfEeFos02+JyUIuSd23RpUgj7hvkQg52EmI65ZdTulxd0xPl+wWVjLJe6Ma4rln591f5+weVqDCQ6MQy/2a7v5Lr1/vYWkjeKAzDHF8f/6QVvcgbYRhAMcfoR+rk0gplI6dbKFDsWgpFOzg4iS4PXQUvcChTrGF44aDIxzWycRA8BJohoZkMAajojGLH9FIRfGTREXFTtovnPqemldNcufje7/14OHPew88WE3yuIsc9rIGKjV3udC5gDZCC/QpzVDh0UcXVdlVtHfYSR3z8RGUa+wSlx1HJ1NZr5c2qBHKPGjpEpdCZ2deYlfLg/LH+izMu4F32WBdpFmN5ZslXvXTj3cJnRC7Wm5vV7NXWH/4ZBzvMhYO93spmuGGmlavIFbFLEXxDjliV2sNXHvfL0qSwsNMdiGEjpLhsCRRBr6Ha8/Fs6wqy84UOsoMh0lZz4Grl0SZ5rBWspVEBylt2DQlgnooaZJEmdmcxvVP+9GWP8u6JIImKHklCTLNDI7NatxuCm1taRrpuV7BlQ+SKFOzTvR8QeOWJ9DGuo91SQRPS//wiyiPbxWZ/RnNV2Iu7tlcRvbRQxnaVPqHLrKu1vx028cVzrCaCWrW1V986BEV8Cn7eOWwoHDbY1gpqiQUX8BD8BAsHR5RLCuEJXuLJu/y5faxnJ+c1QGWWo+ogKLc+k3LCnf+O1QlSyFl1YKlwSOKZd3e79VdhSs/4FFyVgMw9X3CAkoiWfYk00WFy9z6OKGoCSVAmlsPAHV9oliWWrHcyYzCFW8e8NUEOasOAN72CWNZf7DC1I7C3Tjg0yo56y0AtHULk9XYJlYKrRdljh/wrVhMTcikuW3WxncLk1XjXwiriC7JXODygPuL9KwGgCe0AtusFaxqfFblLg54SjViqsyyKJ7Ai25xsho8+Y7VhebPVY4d8EzsHlkvoE52QTWOj/xoY39T5fK5vMGyVJmmDt7JLujG5tEc2jqd1bmYlRWRad5BuyyOZf2KHx2gvbNCKcu4T1Y71Pa6oBfi8fgQOthbzOuW4MCAoesR4txaeNPrQnBpZCQe/4FOJpZ1hlUF9Qg16w287nVBP16zuqLoKPWXVdEfi3kNz3rERYIz6TQLGzlAJ1N54+vlY1EHP4PHPeIixbV0Oj3Eupze69CqusgiD37sKkvPjY6Osi4WtoJ2poPGN/Jj8axPLuTXJicnWdgQC5vzV1/42cEBVjUQHAzeZ/L/5uonpMk4DOD4s72gjDkmG3NswhybHsybJCYdEs0OXTpU0G3rtWSHTp16j0FYNKJ/q73WYa8GbeIURQ21Q1Yy0zJDrbSSvGQh+C/6Sx163unS5Tt739/72+bn/sCX5/m9m6qsx21IDOu4hSaat/5ljy36ryuuQpBbT+xuF1athXWIYR2Tt5Ojpq9cwyiCqlwVWYEXLevaotH29g5M6+id+HC7ufl4c/PtD31zw8PDwdbrmOX3BwKBevkwq6ieVOBjU0JLixjW2Ylp7aPRKJbeW+hG8aqwwipUBLvrCQWGbiaIYb290dFRLFvTtbTa3T3cKl5QcRXaDXvqCQWe3vxrYKCpaR7DoqPtcd+Wk6KwSpk9kH+KjO99z6VNenqwbR7TxLg7y93DwUgkHA77kc93Sql8OEaY5X8Wz0lO6xlA89NL4qPCJpEPqxQ7BvtOEfF977nxj0TaG7wfvnPiKLQPCsiy/GMXtxLjJu+tBFsTi8IoIgVQ6iPhX2y6mMJcMBbmErsiVAp2ojn/88spfA1GOOxRxw6QSzTYdlVa03IsrLoqFwCcBHP+d+dSeBG8jlUqOTFr70nluPspqr7hCRtOqrUXswqUjzXMnpc2+TsWxiq1CjDLqnyM60+RtYDLOqmeFVCR0qmG9+cbJfVTOCEqAlG+0jHuqXTVxd+xCFaplg8iS4My3PfzFySNi8uiwAIivcIp7qF01YNgjKOSpYe4ckVD3OLlM1LOLVFaVjmscSua4t6ekfQWq6hkuWHNfkVTvinJqvt0TojKYF35afm4x5JVjUvBEHeahnJIKFYwxfVJZo0JEY/nNA3FkGCVP+SZlazqi/EsVtFghb+cnGz9kif8ge+dDidsYDi5Iueksh4KPMvRwcCGgzqPTCGp7/DzCh/y0KHTwCZmmVMsP7616sIvIcR66DDDZjl5MsdCwsLEv1nTAk+rKi8HkphkzoV4YTl6IalqauVAyEOJCZLZZK6LDR0Yn7k1uTlrjt4J82wAROvCrq7BwZnOjQ/yq4wTEi4L1cl9XezIyKvBmZnexrWqSTwhtWXVwRZmucNfnjwRwwYvxb/COYrLMsNWGp3M4aGf8a7BT79eNk4tCDy1Zek0IIGROz77Kh42J6yurlKrQgxIqpI7v/jo9ciXIZ4XBIGnd8IqkKbP8yjAsiGex11Re+96SKHaowgr8tBSDakUOs9mjbMQUrI52Cxx2GAbNWyW1MC2XGxWuGB7uyrZLKjcBf9h17EZp7PDf+3Xshmm3Q8y1LIZVguyWLwZZQGZSrwZVAKyFXszphhgB3atV+2wO2664A569xZQrFbrTTNtLRAo03nTSlcGROyV3jSqtAOhgy5v2rgOArkahzctHDWgit7oTQOjHlQqrNaeoExbXQjq6avoVlXpgQ5GRy9KxwA1GrOW0v3MGqCpzqSlEGWqA9psLq3KKJcN0iHHbCCPMphzIF00jJEsyshoIK2s7kNKmw65rZABZe4K+U0V7jLIGL3liEHGezpi0UOmWRmT0ZGqyGE0MVbIGlspU3L0sLHCYNDiT4DBUGE8fLSEKbWBOn8AuR3ZO57saxYAAAAASUVORK5CYII="
    ]

  }
}

这是我最后的结果图