通常我们使用一个table 来渲染服务的返回来的数据时，数据结构一般都是按row 来返回的，并且表头也是固定的

但是如果接口返回的数据结构不是我们想要的，表头也不确定时，我们该如何解析数据，将数据进行二次加工，转换成为我们想要的数据结构

下面是一个例子，其中tableData 就是返回的数据，是按列返回的，我们通过遍历数据把它转化为行数据结构：

<template>
<div id="app">
<el-table :data="data_" border style="width: 100%" align='center'>
<el-table-column label="项目/机构" prop="name" align='center'></el-table-column>
<el-table-column
align='center'
v-for="(item, index) in thead"
:key="index" :label="item"
:prop="item">
</el-table-column>
</el-table>
</div>
</template>
<script>
import { jsonData } from 'views/data/data.js'
function formatter(row, column, cellValue, index) {
if (cellValue === 'undefined') {
// return ''
}
}
export default {
name: 'App',
components: {
// ElementDatatable
},
data() {
return {
theadChdren: [],
filterObj: {
value_4: '收入',
value_4_1: '运费收入',
value_5: '成本',
value_6: '毛利'
},
thead: [],
tableDatas: [
{
org_name: 'BW河北区',
rpt_date: '2018071',
value_1: 2444.0,
value_10: -43361.0,
value_11: -2.0,
value_12: -42616.3,
value_13: 748.7,
value_14: -43365.0,
value_2: 5444.0,
value_3: 4444.0,
value_4: 3322.1,
value_5: 19537.8,
value_6: -16215.7,
value_7: -70.0,
value_8: 20517.0,
value_9: 6558.3
},
{
org_name: 'BW河北省保定市植物园营业部',
"rpt_date":"2018071",
value_1: 2323.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省保定市裕华路营业部',
rpt_date: '2018071',
value_1: 5454.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省保定市集散点',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省唐山市路北区营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省唐山市集散点',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省廊坊市盛德花园营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省廊坊市祥泰花园营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省廊坊市科技谷营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省廊坊市集散点',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省承德市双桥区营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省承德市双滦区营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省石家庄市友谊北街营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省石家庄市天山大街营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省石家庄市建华南街营业站',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省石家庄市月季公园营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省石家庄市红旗大街营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省邯郸市丛台区营业部',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW河北省邯郸市集散点',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: 'BW石家庄集散中心',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: '石家庄',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.533,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
}
],
tableData: [
{
org_name: 'BW河北区',
rpt_date: '2018071',
value_1: 2444.0,
value_10: -43361.0,
value_11: -2.0,
value_12: -42616.3,
value_13: 748.7,
value_14: -43365.0,
value_2: 5444.0,
value_3: 4444.0,
value_4: 3322.1,
value_5: 19537.8,
value_6: -16215.7,
value_7: -70.0,
value_8: 20517.0,
value_9: 6558.3
},
{
org_name: '石家庄',
rpt_date: '2018071',
value_1: 4343.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
},
{
org_name: '石家庄',
rpt_date: '2018071',
value_1: 1222.0,
value_10: -22560.5,
value_11: -1.0,
value_12: -22188.15,
value_13: 374.35,
value_14: -22562.5,
value_2: 2222.0,
value_3: 1222.0,
value_4: 781.05,
value_5: 9768.9,
value_6: -8987.85,
value_7: -35.0,
value_8: 10258.5,
value_9: 3279.15
}
],
data_: [],
lastFilterObj: {}
}
},
created() {
this.filterObj = jsonData['PROJECT']
let obj_ = this.tableData[0]
for (let item of this.tableDatas) {
if (item.org_name) {
// this.thead.push(item.rpt_date)
this.thead.push(item.org_name)
}
}
for (let item of this.tableDatas) {
if (item.rpt_date) {
// this.thead.push(item.rpt_date)
this.theadChdren.push(item.rpt_date)
}
}
var arrs = []
this.tableData.map((item, index) => {
if (item[index] !== 'org_name' && item[index] !== 'rpt_date') {
arrs = Object.keys(item)
}
})
// console.log('返回keys', arrs)
// console.log('过滤前', this.filterObj)
let object_ = Object.assign({}, this.filterObj)
for (let key in object_) {
if (arrs.indexOf(key) === -1) {
if (
object_[key] == '营业部指标' ||
object_[key] == '集散仓指标' ||
object_[key] == '省区人员数量指标' ||
object_[key] == '分析指标'
) {
} else {
delete object_[key]
}
}
}
this.lastFilterObj = Object.assign({}, object_)
Object.keys(this.lastFilterObj).forEach(key => {
var obj = {
name: this.filter(key),
}
this.tableDatas.map((item, index) => {
// obj[item.rpt_date] = item[key]
obj[item.org_name] = item[key]
})
debugger
this.data_.push(obj)
})
console.log(this.data_)
},
methods: {
filter(key) {
if (this.lastFilterObj[key]) {
return this.lastFilterObj[key]
}
},
formatter(row, column, cellValue, index) {
if (cellValue === 'undefined') {
return '123'
}
}
}
}
</script>
<style>
#app {
font-family: 'Avenir', Helvetica, Arial, sans-serif;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
text-align: center;
color: #2c3e50;
margin-top: 60px;
}
</style>

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