953 lines
38 KiB
Vue
953 lines
38 KiB
Vue
<template>
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<div style="margin: 200px">
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<Divider>TreeTable</Divider>
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<Table
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border
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highlight-row
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content-menu
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@on-current-change="occ"
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@on-row-click="orc"
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@on-row-dblclick="ordc"
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@on-select="os"
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@on-select-cancel="osc"
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@on-select-all="osa"
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@on-select-all-cancel="osac"
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@on-contextmenu="ocm"
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ref="selection"
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:columns="columns0"
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:data="data0"
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row-key="id"
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:load-data="loadData"
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>
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<template slot-scope="{ row }" slot="age">
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<strong>{{row.age}}</strong>
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</template>
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</Table>
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<br><br>
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<Button @click="addData">添加数据</Button>
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<Button @click="addData2">添加数据2</Button>
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<Button @click="handleSelectAll(true)">Set all selected</Button>
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<Button @click="handleSelectAll(false)">Cancel all selected</Button>
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<Divider>合计</Divider>
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<Table size="small" border :columns="columns4" :data="data11" show-summary :height="200"></Table>
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<br>
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<Table border :columns="columns4" :data="data11" show-summary :height="200"></Table>
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<br>
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<Table size="large" border :columns="columns4" :data="data11" show-summary :height="200"></Table>
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<br>
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<Table border :columns="columns4" :data="data11" show-summary></Table>
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<br>
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<Table border :columns="columns5" :data="data11" show-summary></Table>
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<br>
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<Table border :columns="columns8" :data="data11" show-summary></Table>
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<br>
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<Table border :columns="columns5" :data="data11" show-summary :height="200"></Table>
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<Divider>合并单元格</Divider>
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<Table border :columns="columns1" :data="data1" :span-method="handleSpan"></Table>
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<br>
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<Table border :columns="columns1" :data="data1" :span-method="handleSpan2"></Table>
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<Divider>拖拽调整列宽</Divider>
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<Table border :columns="columns1" :data="data1"></Table>
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<Divider>排序筛选</Divider>
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<div style="margin: 0 0px;">
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<Table @on-column-width-resize="handleResize" border :columns="columns6" :data="data5"></Table>
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</div>
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<Divider>普通表格</Divider>
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<Table size="small" :columns="columns1" :data="data1"></Table>
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<br>
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<Table :columns="columns1" :data="data1"></Table>
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<br>
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<Table size="large" :columns="columns1" :data="data1"></Table>
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<Divider>斑马纹</Divider>
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<Table stripe :columns="columns1" :data="data1"></Table>
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<Divider>带边框</Divider>
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<Table border :columns="columns1" :data="data1"></Table>
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<Divider>头固定（普通）</Divider>
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<Table height="200" :columns="columns1" :data="data2"></Table>
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<Divider>头固定（边框）</Divider>
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<Table height="200" border :columns="columns1" :data="data2"></Table>
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<Divider>列固定（普通）</Divider>
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<Table width="550" :columns="columns2" :data="data3"></Table>
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<Divider>列固定（边框）</Divider>
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<Table width="550" border :columns="columns2" :data="data3"></Table>
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<Divider>都固定（普通）</Divider>
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<Table width="550" height="200" :columns="columns2" :data="data4"></Table>
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<Divider>都固定（边框）</Divider>
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<Table width="550" height="200" border :columns="columns2" :data="data4"></Table>
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<Divider>表头分组（普通）</Divider>
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<Table :columns="columns11" :data="data10" height="500"></Table>
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<Divider>表头分组（边框）</Divider>
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<Table border :columns="columns11" :data="data10" height="500"></Table>
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<Divider>筛选</Divider>
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<Table border :columns="columns6" :data="data5"></Table>
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</div>
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</template>
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<script>
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export default {
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data () {
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return {
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columns4: [
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{
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title: 'ID',
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key: 'id'
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},
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{
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title: '姓名',
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key: 'name'
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},
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{
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title: '数值 1',
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key: 'amount1'
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},
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{
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title: '数值 2',
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key: 'amount2'
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},
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{
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title: '数值 3',
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key: 'amount3'
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}
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],
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columns5: [
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{
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title: 'ID',
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key: 'id',
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fixed: 'left',
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width: 180
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},
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{
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title: '姓名',
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key: 'name',
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width: 250
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},
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{
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title: '数值 1',
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key: 'amount1',
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width: 250,
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fixed: 'right'
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},
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{
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title: '数值 2',
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key: 'amount2',
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width: 250
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},
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{
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title: '数值 3',
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key: 'amount3',
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width: 180
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}
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],
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columns8: [
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{
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title: 'ID',
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key: 'id',
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fixed: 'left',
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width: 180
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},
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{
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title: '姓名',
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key: 'name',
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},
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{
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title: '数值 1',
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key: 'amount1',
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width: 250,
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fixed: 'right'
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},
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{
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title: '数值 2',
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key: 'amount2',
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},
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{
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title: '数值 3',
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key: 'amount3',
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}
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],
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data11: [
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{
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id: '12987122',
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name: '王小虎',
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amount1: '234',
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amount2: '3.2',
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amount3: 10
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}, {
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id: '12987123',
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name: '王小虎',
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amount1: '165',
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amount2: '4.43',
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amount3: 12
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}, {
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id: '12987124',
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name: '王小虎',
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amount1: '324',
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amount2: '1.9',
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amount3: 9
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}, {
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id: '12987125',
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name: '王小虎',
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amount1: '621',
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amount2: '2.2',
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amount3: 17
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}, {
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id: '12987126',
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name: '王小虎',
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amount1: '539',
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amount2: '4.1',
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amount3: 15
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}
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],
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columns6: [
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{
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title: 'Date',
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key: 'date',
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sortable: true,
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resizable: true,
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width: 180,
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},
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{
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title: 'Name',
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key: 'name',
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resizable: true,
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width: 180,
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},
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{
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title: 'Age',
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key: 'age',
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sortable: true,
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resizable: true,
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width: 180,
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filters: [
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{
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label: 'Greater than 25',
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value: 1
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},
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{
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label: 'Less than 25',
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value: 2
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}
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],
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filterMultiple: false,
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filterMethod (value, row) {
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if (value === 1) {
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return row.age > 25;
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} else if (value === 2) {
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return row.age < 25;
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}
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}
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},
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{
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title: 'Address',
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key: 'address',
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filters: [
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{
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label: 'New York',
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value: 'New York'
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},
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{
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label: 'London',
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value: 'London'
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},
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{
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label: 'Sydney',
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value: 'Sydney'
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}
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],
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filterMethod (value, row) {
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return row.address.indexOf(value) > -1;
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}
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}
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],
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data5: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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date: '2016-10-03'
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'London No. 1 Lake Park',
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date: '2016-10-01'
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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date: '2016-10-02'
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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}
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],
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columns1: [
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{
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title: 'Name',
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key: 'name'
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},
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{
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title: 'Age',
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key: 'age'
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},
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{
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title: 'Address',
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key: 'address'
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}
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],
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data1: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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date: '2016-10-03'
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'London No. 1 Lake Park',
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date: '2016-10-01'
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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date: '2016-10-02'
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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},
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{
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name: 'Jon Snow2',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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},
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{
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name: 'Jon Snow3',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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},
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{
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name: 'Jon Snow4',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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}
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],
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data2: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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date: '2016-10-03'
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'London No. 1 Lake Park',
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date: '2016-10-01'
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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date: '2016-10-02'
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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},
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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date: '2016-10-03'
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'London No. 1 Lake Park',
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date: '2016-10-01'
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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date: '2016-10-02'
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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date: '2016-10-04'
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}
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],
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columns2: [
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{
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title: 'Name',
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key: 'name',
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width: 100,
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fixed: 'left'
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},
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{
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title: 'Age',
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key: 'age',
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width: 100
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},
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{
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title: 'Province',
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key: 'province',
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width: 100
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},
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{
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title: 'City',
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key: 'city',
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width: 100
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},
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{
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title: 'Address',
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key: 'address',
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width: 200
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},
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{
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title: 'Postcode',
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key: 'zip',
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width: 100
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},
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{
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title: 'Action',
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key: 'action',
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fixed: 'right',
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width: 120,
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render: (h, params) => {
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return h('div', [
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h('Button', {
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props: {
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type: 'text',
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size: 'small'
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}
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}, 'View'),
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h('Button', {
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props: {
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type: 'text',
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size: 'small'
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}
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}, 'Edit')
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]);
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}
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}
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],
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data4: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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province: 'America',
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city: 'New York',
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zip: 100000
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'Washington, D.C. No. 1 Lake Park',
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province: 'America',
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city: 'Washington, D.C.',
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zip: 100000
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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province: 'Australian',
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city: 'Sydney',
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zip: 100000
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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province: 'Canada',
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city: 'Ottawa',
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zip: 100000
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},
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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province: 'America',
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city: 'New York',
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zip: 100000
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'Washington, D.C. No. 1 Lake Park',
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province: 'America',
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city: 'Washington, D.C.',
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zip: 100000
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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province: 'Australian',
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city: 'Sydney',
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zip: 100000
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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province: 'Canada',
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city: 'Ottawa',
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zip: 100000
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}
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],
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data3: [
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{
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name: 'John Brown',
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age: 18,
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address: 'New York No. 1 Lake Park',
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province: 'America',
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city: 'New York',
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zip: 100000
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},
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{
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name: 'Jim Green',
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age: 24,
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address: 'Washington, D.C. No. 1 Lake Park',
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province: 'America',
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city: 'Washington, D.C.',
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zip: 100000
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},
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{
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name: 'Joe Black',
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age: 30,
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address: 'Sydney No. 1 Lake Park',
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province: 'Australian',
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city: 'Sydney',
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zip: 100000
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},
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{
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name: 'Jon Snow',
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age: 26,
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address: 'Ottawa No. 2 Lake Park',
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province: 'Canada',
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city: 'Ottawa',
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zip: 100000
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}
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],
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columns11: [
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{
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title: 'Name',
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key: 'name',
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align: 'center',
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width: 200,
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fixed: 'left',
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filters: [
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{
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label: 'Joe',
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value: 1
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},
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{
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label: 'John',
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value: 2
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}
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],
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filterMultiple: false,
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filterMethod (value, row) {
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if (value === 1) {
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return row.name === 'Joe';
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} else if (value === 2) {
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return row.name === 'John Brown';
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}
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}
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},
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{
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title: 'Other',
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align: 'center',
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children: [
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{
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title: 'Age',
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key: 'age',
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align: 'center',
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width: 200,
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sortable: true
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},
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{
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title: 'Address',
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align: 'center',
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children: [
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{
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title: 'Street',
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key: 'street',
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align: 'center',
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width: 200
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},
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{
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title: 'Block',
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align: 'center',
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children: [
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{
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title: 'Building',
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key: 'building',
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align: 'center',
|
||
width: 200,
|
||
sortable: true
|
||
},
|
||
{
|
||
title: 'Door No.',
|
||
key: 'door',
|
||
align: 'center',
|
||
width: 200
|
||
}
|
||
]
|
||
}
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
title: 'Company',
|
||
align: 'center',
|
||
children: [
|
||
{
|
||
title: 'Company Address',
|
||
key: 'caddress',
|
||
align: 'center',
|
||
width: 200
|
||
},
|
||
{
|
||
title: 'Company Name',
|
||
key: 'cname',
|
||
align: 'center',
|
||
width: 200
|
||
}
|
||
]
|
||
},
|
||
{
|
||
title: 'Gender',
|
||
key: 'gender',
|
||
align: 'center',
|
||
width: 200,
|
||
fixed: 'right'
|
||
}
|
||
],
|
||
data10: [{"key":0,"name":"John Brown","age":1,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":1,"name":"John Brown","age":2,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":2,"name":"John Brown","age":3,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":3,"name":"John Brown","age":4,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":4,"name":"John Brown","age":5,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":5,"name":"John Brown","age":6,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":6,"name":"John Brown","age":7,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":7,"name":"John Brown","age":8,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":8,"name":"John Brown","age":9,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":9,"name":"John Brown","age":10,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":10,"name":"John Brown","age":11,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":11,"name":"John Brown","age":12,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":12,"name":"John Brown","age":13,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":13,"name":"John Brown","age":14,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":14,"name":"John Brown","age":15,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":15,"name":"John Brown","age":16,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":16,"name":"John Brown","age":17,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":17,"name":"John Brown","age":18,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":18,"name":"John Brown","age":19,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"},{"key":19,"name":"John Brown","age":20,"street":"Lake Park","building":"C","door":2035,"caddress":"Lake Street 42","cname":"SoftLake Co","gender":"M"}],
|
||
columns0: [
|
||
// {
|
||
// type: 'index',
|
||
// width: 60,
|
||
// align: 'center'
|
||
// },
|
||
{
|
||
type: 'selection',
|
||
width: 60,
|
||
align: 'center'
|
||
},
|
||
{
|
||
title: 'Name',
|
||
key: 'name',
|
||
tree: true
|
||
},
|
||
{
|
||
title: 'Age',
|
||
key: 'age',
|
||
sortable: true,
|
||
filters: [
|
||
{
|
||
label: 'Greater than 180',
|
||
value: 1
|
||
},
|
||
{
|
||
label: 'Less than 180',
|
||
value: 2
|
||
}
|
||
],
|
||
filterMultiple: false,
|
||
filterMethod (value, row) {
|
||
if (value === 1) {
|
||
return row.age > 180;
|
||
} else if (value === 2) {
|
||
return row.age < 180;
|
||
}
|
||
}
|
||
},
|
||
{
|
||
title: 'Date',
|
||
key: 'date'
|
||
},
|
||
{
|
||
title: 'Address',
|
||
key: 'address',
|
||
filters: [
|
||
{
|
||
label: 'New York',
|
||
value: 'New York'
|
||
},
|
||
{
|
||
label: 'London',
|
||
value: 'London'
|
||
},
|
||
{
|
||
label: 'Sydney',
|
||
value: 'Sydney'
|
||
}
|
||
],
|
||
filterMethod (value, row) {
|
||
return row.address.indexOf(value) > -1;
|
||
}
|
||
}
|
||
],
|
||
data0: [
|
||
{
|
||
id: '100',
|
||
name: 'John Brown',
|
||
age: 118,
|
||
address: 'New York No. 1 Lake Park',
|
||
date: '2016-10-03',
|
||
_disabled: true,
|
||
level: 0,
|
||
_loading: false,
|
||
children: []
|
||
},
|
||
{
|
||
id: '101',
|
||
name: 'Jim Green',
|
||
age: 224,
|
||
address: 'London No. 1 Lake Park',
|
||
date: '2016-10-01',
|
||
_showChildren: true,
|
||
_disabled: false,
|
||
level: 0,
|
||
children: [
|
||
{
|
||
id: '10100',
|
||
name: '张三',
|
||
age: 235,
|
||
address: '发动机莲富大厦放假了开始的',
|
||
date: '2016-10-01',
|
||
level: 1
|
||
},
|
||
{
|
||
id: '10101',
|
||
name: '李四',
|
||
age: 129,
|
||
address: '风刀霜剑分离的思路开发',
|
||
date: '2016-10-02',
|
||
level: 1
|
||
},
|
||
{
|
||
id: '10102',
|
||
name: '王五',
|
||
age: 290,
|
||
address: '分离的付款就说个就是范德萨发生',
|
||
date: '2016-10-03',
|
||
_showChildren: true,
|
||
level: 1,
|
||
children: [
|
||
{
|
||
id: '10102100',
|
||
name: '赵六',
|
||
age: 111,
|
||
address: '梵蒂冈人太热疼我',
|
||
date: '2016-10-05',
|
||
level: 2
|
||
},
|
||
{
|
||
id: '10102101',
|
||
name: '丁八',
|
||
age: 272,
|
||
address: '法第三方的范德萨范德萨发送到',
|
||
date: '2016-10-06',
|
||
_showChildren: true,
|
||
level: 2,
|
||
children: [
|
||
{
|
||
id: '10102101100',
|
||
name: '第九',
|
||
age: 123,
|
||
address: '9梵蒂冈人太热疼我',
|
||
date: '2016-10-07',
|
||
_disabled: true,
|
||
level: 3
|
||
},
|
||
{
|
||
id: '10102101101',
|
||
name: '第十',
|
||
age: 254,
|
||
address: '10法第三方的范德萨范德萨发送到',
|
||
date: '2016-10-08',
|
||
level: 3
|
||
},
|
||
]
|
||
},
|
||
]
|
||
}
|
||
]
|
||
},
|
||
{
|
||
id: '102',
|
||
name: 'Joe Black',
|
||
age: 130,
|
||
address: 'Sydney No. 1 Lake Park',
|
||
date: '2016-10-02',
|
||
_disabled: false,
|
||
level: 0,
|
||
_showChildren: false,
|
||
children: [
|
||
{
|
||
id: '10200',
|
||
name: '张三3',
|
||
age: 235,
|
||
address: '发动机莲富大厦放假了开始的',
|
||
date: '2016-10-01',
|
||
level: 1
|
||
},
|
||
{
|
||
id: '10201',
|
||
name: '张三4',
|
||
age: 235,
|
||
address: '发动机莲富大厦放假了开始的',
|
||
date: '2016-10-01',
|
||
level: 1
|
||
},
|
||
]
|
||
},
|
||
{
|
||
id: '103',
|
||
name: 'Jon Snow',
|
||
age: 126,
|
||
address: 'Ottawa No. 2 Lake Park',
|
||
date: '2016-10-04',
|
||
_disabled: true,
|
||
level: 0
|
||
}
|
||
]
|
||
}
|
||
},
|
||
methods: {
|
||
handleResize (width) {
|
||
console.log(width);
|
||
},
|
||
handleSpan ({ row, column, rowIndex, columnIndex }) {
|
||
if (rowIndex % 2 === 0) {
|
||
if (columnIndex === 0) {
|
||
return [1, 2];
|
||
} else if (columnIndex === 1) {
|
||
return [0, 0];
|
||
}
|
||
}
|
||
},
|
||
handleSpan2 ({ row, column, rowIndex, columnIndex }) {
|
||
if (columnIndex === 0) {
|
||
if (rowIndex % 2 === 0) {
|
||
return {
|
||
rowspan: 2,
|
||
colspan: 1
|
||
};
|
||
} else {
|
||
return {
|
||
rowspan: 0,
|
||
colspan: 0
|
||
};
|
||
}
|
||
}
|
||
},
|
||
handleSelectAll (status) {
|
||
this.$refs.selection.selectAll(status);
|
||
},
|
||
occ (n, o) {
|
||
// console.log(n);
|
||
// console.log(o);
|
||
},
|
||
orc (data, index) {
|
||
// console.log(data);
|
||
// console.log(index);
|
||
},
|
||
ordc (data, index) {
|
||
// console.log(data);
|
||
// console.log(index);
|
||
},
|
||
os (s, r) {
|
||
// console.log(s);
|
||
// console.log(r);
|
||
},
|
||
osc (s, r) {
|
||
console.log(s);
|
||
console.log(r);
|
||
},
|
||
osa (s) {
|
||
console.log(s);
|
||
},
|
||
osac (s) {
|
||
console.log(s);
|
||
},
|
||
ocm (s, e) {
|
||
console.log(s);
|
||
console.log(e);
|
||
},
|
||
loadData (item, callback) {
|
||
setTimeout(() => {
|
||
const data = [
|
||
{
|
||
id: '10000',
|
||
name: '张三1',
|
||
age: 123,
|
||
address: '1发动机莲富大厦放假了开始的',
|
||
date: '2016-10-01'
|
||
},
|
||
{
|
||
id: '10001',
|
||
name: '张三2',
|
||
age: 124,
|
||
address: '2发动机莲富大厦放假了开始的',
|
||
date: '2016-10-02'
|
||
},
|
||
];
|
||
callback(data);
|
||
}, 1000);
|
||
},
|
||
addData () {
|
||
const d = this.data0[3];
|
||
d.children = [
|
||
{
|
||
id: '10000',
|
||
name: '张三1',
|
||
age: 123,
|
||
address: '1发动机莲富大厦放假了开始的',
|
||
date: '2016-10-01'
|
||
},
|
||
{
|
||
id: '10001',
|
||
name: '张三2',
|
||
age: 124,
|
||
address: '2发动机莲富大厦放假了开始的',
|
||
date: '2016-10-02'
|
||
}
|
||
];
|
||
this.$set(this.data0, 3, d);
|
||
},
|
||
addData2 () {
|
||
this.data0.push({
|
||
id: '104',
|
||
name: 'Jon Snow4',
|
||
age: 124,
|
||
address: 'Ottawa No. 2 Lake Park',
|
||
date: '2016-10-04',
|
||
_disabled: true,
|
||
level: 0
|
||
})
|
||
}
|
||
}
|
||
}
|
||
</script>
|