vue +element 导出多级表头（标题）
借鉴地址https://blog.csdn.net/xingchen678/article/details/102686621https://blog.csdn.net/beidaol/article/details/107004538安装依赖npm install --save xlsx file-saver按钮<el-button @click="handleExportMarketin
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借鉴地址
https://blog.csdn.net/xingchen678/article/details/102686621
https://blog.csdn.net/beidaol/article/details/107004538
安装依赖
npm install --save xlsx file-saver按钮
<el-button @click="handleExportMarketingList" type="success">导出</el-button>表格
<el-table :data="tableData" border>
<el-table-column prop="name" label="热源名称"> </el-table-column>
<el-table-column prop="date" label="起始日期"> </el-table-column>
<el-table-column prop="address" label="供热面积"> </el-table-column>
<el-table-column prop="IndoorTemp" label="室内计算温度">
</el-table-column>
<el-table-column prop="outdoorTemp" label="预测室外温度">
</el-table-column>
<el-table-column prop="actualTemp" label="实际室外温度">
</el-table-column>
<el-table-column header-align="center" label="调度情况">
<el-table-column prop="Calories" label="热量GJ/h"> </el-table-column>
<el-table-column prop="flow" label="流量T/h"> </el-table-column>
<el-table-column prop="Temperature" label="一次供温℃"></el-table-column>
<el-table-column prop="Warmup" label="一次回温℃"> </el-table-column>
</el-table-column>
<el-table-column header-align="center" label="负荷预测">
<el-table-column prop="Calories2" label="热量"> </el-table-column>
<el-table-column prop="actualTemp2" label="热负荷"> </el-table-column>
<el-table-column prop="actualTemp22" label="热指标"> </el-table-column>
<!-- <el-table-column prop="Heat_load" label="热负荷"> </el-table-column> -->
</el-table-column>
<el-table-column header-align="center" label="实际供热">
<el-table-column prop="Calories3" label="热量"> </el-table-column>
<el-table-column prop="actualTemp31" label="热负荷"> </el-table-column>
<el-table-column prop="actualTemp32" label="热指标"> </el-table-column>
<el-table-column prop="actualTemp33" label="流量"> </el-table-column>
<el-table-column prop="actualTemp34" label="一次供温">
</el-table-column>
<el-table-column prop="actualTemp35" label="一次回温">
</el-table-column>
</el-table-column>
</el-table>数据 export default { data（）{} return{ tableData：[ ] } }
tableData: [
{
date: '国投1#',
name: '王小虎',
address: '上海',
IndoorTemp: 15,
outdoorTemp: 3,
actualTemp: 12,
Calories: 1,
flow: 14,
Temperature: 23,
Warmup: 15,
Calories2: 1,
actualTemp2: 2,
actualTemp22: 22,
Calories3: 3,
actualTemp31: 31,
actualTemp32: 32,
actualTemp33: 33,
actualTemp34: 34,
actualTemp35: 35,
},
{
date: '国投2#',
name: '王小虎',
address: '上海市',
IndoorTemp: 15,
outdoorTemp: 13,
actualTemp: 22,
Calories: 12,
flow: 21,
Temperature: 11,
Warmup: 12,
Calories2: 1,
actualTemp2: 2,
actualTemp22: 22,
Calories3: 3,
actualTemp31: 31,
actualTemp32: 32,
actualTemp33: 33,
actualTemp34: 34,
actualTemp35: 35,
},
{
date: '城西预测',
name: '王虎',
address: '上海市普',
IndoorTemp: 5,
outdoorTemp: 3,
actualTemp: 43,
Calories: 16,
flow: 31,
Temperature: 22,
Warmup: 15,
Calories2: 1,
actualTemp2: 2,
actualTemp22: 22,
Calories3: 3,
actualTemp31: 31,
actualTemp32: 32,
actualTemp33: 33,
actualTemp34: 34,
actualTemp35: 35,
},
{
date: '城西预',
name: '王小',
address: '上海市普',
IndoorTemp: 15,
outdoorTemp: 23,
actualTemp: 16,
Calories: 15,
flow: 31,
Temperature: 22,
Warmup: 19,
Calories2: 1,
actualTemp2: 2,
actualTemp22: 22,
Calories3: 3,
actualTemp31: 31,
actualTemp32: 32,
actualTemp33: 33,
actualTemp34: 34,
actualTemp35: 35,
},
{
date: '城西预测',
name: '王虎',
address: '上海市',
IndoorTemp: 15,
outdoorTemp: 13,
actualTemp: 19,
Calories: 17,
flow: 16,
Temperature: 22,
Warmup: 21,
Calories2: 1,
actualTemp2: 2,
actualTemp22: 22,
Calories3: 3,
actualTemp31: 31,
actualTemp32: 32,
actualTemp33: 33,
actualTemp34: 34,
actualTemp35: 35,
},
{
date: '城西预测',
name: '小虎',
address: '上市普',
IndoorTemp: 15,
outdoorTemp: 13,
actualTemp: 13,
Calories: 16,
flow: 31,
Temperature: 22,
Warmup: 12,
Calories2: 1,
actualTemp2: 2,
actualTemp22: 22,
Calories3: 3,
actualTemp31: 31,
actualTemp32: 32,
actualTemp33: 33,
actualTemp34: 34,
actualTemp35: 35,
},
{
date: '城西预测',
name: '王虎',
address: '上海普',
IndoorTemp: 15,
outdoorTemp: 13,
actualTemp: 13,
Calories: 16,
flow: 31,
Temperature: 22,
Warmup: 12,
Calories2: 1,
actualTemp2: 2,
actualTemp22: 22,
Calories3: 3,
actualTemp31: 31,
actualTemp32: 32,
actualTemp33: 33,
actualTemp34: 34,
actualTemp35: 35,
},
],方法名 【@/api/Export2Excel 本地路径 自己个把Export2Excel.js 放到项目里面更改路径即可】
methods: {
handleExportMarketingList() {
// 懒加载 此路径为本地路径
import('@/api/Export2Excel').then((excel) => {
const multiHeader = [
[
'热源名称',
'起始日期',
'供热面积',
'室内计算温度',
'预测室外温度',
'实际室外温度',
'调度情况',
'',
'',
'',
'负荷预测',
'',
'',
'实际供热',
'',
'',
'',
'',
'',
],
]
const multiHeader2 = [
[
'',
'',
'',
'',
'',
'',
'热量GJ/h',
'流量T/h',
'一次供温℃',
'一次回温℃',
'热量',
'热负荷',
'热指标',
'热量',
'热负荷',
'热指标',
'流量',
'一次供温',
'一次回温',
],
]
// const tHeader = []
const filterVal = [
'date',
'name',
'address',
'IndoorTemp',
'outdoorTemp',
'actualTemp',
'Calories',
'flow',
'Temperature',
'Warmup',
'Calories2',
'actualTemp2',
'actualTemp22',
'Calories3',
'actualTemp31',
'actualTemp32',
'actualTemp33',
'actualTemp34',
'actualTemp35',
] // 表头所对应的字段，这里未填写
// console.log(this.tableData)
// console.log(filterVal)
const data = this.tableData.map((v) => filterVal.map((j) => v[j]))
// console.log(data)
// const data = this.tableData.map(v => filterVal.map(j => v[j]));
// 进行所有表头的单元格合并
const merges = [
'A1:A2',
'B1:B2',
'C1:C2',
'D1:D2',
'E1:E2',
'F1:F2',
'G1:J1',
'K1:M1',
'N1:S1',
]
excel.export_json_to_excel({
multiHeader, // 这里是第一行的表头
multiHeader2, // 这里是第二行的表头
// header: tHeader, // 这里是第三行的表头
data,
filename: '热源预测历史数据',
merges,
})
})
},
},Export2Excel.js
/* eslint-disable */
import { saveAs } from 'file-saver'
// import saveAs from 'vue-json-excel'
import XLSX from 'xlsx'
function generateArray(table) {
var out = [];
var rows = table.querySelectorAll('tr');
var ranges = [];
for (var R = 0; R < rows.length; ++R) {
var outRow = [];
var row = rows[R];
var columns = row.querySelectorAll('td');
for (var C = 0; C < columns.length; ++C) {
var cell = columns[C];
var colspan = cell.getAttribute('colspan');
var rowspan = cell.getAttribute('rowspan');
var cellValue = cell.innerText;
if (cellValue !== "" && cellValue == +cellValue) cellValue = +cellValue;
//Skip ranges
ranges.forEach(function (range) {
if (R >= range.s.r && R <= range.e.r && outRow.length >= range.s.c && outRow.length <= range.e.c) {
for (var i = 0; i <= range.e.c - range.s.c; ++i) outRow.push(null);
}
});
//Handle Row Span
if (rowspan || colspan) {
rowspan = rowspan || 1;
colspan = colspan || 1;
ranges.push({
s: {
r: R,
c: outRow.length
},
e: {
r: R + rowspan - 1,
c: outRow.length + colspan - 1
}
});
};
//Handle Value
outRow.push(cellValue !== "" ? cellValue : null);
//Handle Colspan
if (colspan)
for (var k = 0; k < colspan - 1; ++k) outRow.push(null);
}
out.push(outRow);
}
return [out, ranges];
};
function datenum(v, date1904) {
if (date1904) v += 1462;
var epoch = Date.parse(v);
return (epoch - new Date(Date.UTC(1899, 11, 30))) / (24 * 60 * 60 * 1000);
}
function sheet_from_array_of_arrays(data, opts) {
var ws = {};
var range = {
s: {
c: 10000000,
r: 10000000
},
e: {
c: 0,
r: 0
}
};
for (var R = 0; R != data.length; ++R) {
for (var C = 0; C != data[R].length; ++C) {
if (range.s.r > R) range.s.r = R;
if (range.s.c > C) range.s.c = C;
if (range.e.r < R) range.e.r = R;
if (range.e.c < C) range.e.c = C;
var cell = {
v: data[R][C]
};
if (cell.v == null) continue;
var cell_ref = XLSX.utils.encode_cell({
c: C,
r: R
});
if (typeof cell.v === 'number') cell.t = 'n';
else if (typeof cell.v === 'boolean') cell.t = 'b';
else if (cell.v instanceof Date) {
cell.t = 'n';
cell.z = XLSX.SSF._table[14];
cell.v = datenum(cell.v);
} else cell.t = 's';
ws[cell_ref] = cell;
}
}
if (range.s.c < 10000000) ws['!ref'] = XLSX.utils.encode_range(range);
return ws;
}
function Workbook() {
if (!(this instanceof Workbook)) return new Workbook();
this.SheetNames = [];
this.Sheets = {};
}
function s2ab(s) {
var buf = new ArrayBuffer(s.length);
var view = new Uint8Array(buf);
for (var i = 0; i != s.length; ++i) view[i] = s.charCodeAt(i) & 0xFF;
return buf;
}
export function export_table_to_excel(id) {
var theTable = document.getElementById(id);
var oo = generateArray(theTable);
var ranges = oo[1];
/* original data */
var data = oo[0];
var ws_name = "热源预测历史数据";
var wb = new Workbook(),
ws = sheet_from_array_of_arrays(data);
/* add ranges to worksheet */
// ws['!cols'] = ['apple', 'banan'];
ws['!merges'] = ranges;
/* add worksheet to workbook */
wb.SheetNames.push(ws_name);
wb.Sheets[ws_name] = ws;
var wbout = XLSX.write(wb, {
bookType: 'xlsx',
bookSST: false,
type: 'binary'
});
saveAs(new Blob([s2ab(wbout)], {
type: "application/octet-stream"
}), "test.xlsx")
}
export function export_json_to_excel({
multiHeader = [],
multiHeader2 = [],
// header,
data,
filename,
merges = [],
autoWidth = true,
bookType = 'xlsx'
} = {}) {
/* original data */
filename = filename || 'excel-list'
data = [...data]
// data.unshift(header);
for (let i = multiHeader2.length - 1; i > -1; i--) {
data.unshift(multiHeader2[i])
}
for (let i = multiHeader.length - 1; i > -1; i--) {
data.unshift(multiHeader[i])
}
var ws_name = "热源预测历史数据";
var wb = new Workbook(),
ws = sheet_from_array_of_arrays(data);
if (merges.length > 0) {
if (!ws['!merges']) ws['!merges'] = [];
merges.forEach(item => {
ws['!merges'].push(XLSX.utils.decode_range(item))
})
}
if (autoWidth) {
/*设置worksheet每列的最大宽度*/
const colWidth = data.map(row => row.map(val => {
/*先判断是否为null/undefined*/
if (val == null) {
return {
'wch': 10
};
}
/*再判断是否为中文*/
else if (val.toString().charCodeAt(0) > 255) {
return {
'wch': val.toString().length * 2
};
} else {
return {
'wch': val.toString().length
};
}
}))
/*以第一行为初始值*/
let result = colWidth[0];
for (let i = 1; i < colWidth.length; i++) {
for (let j = 0; j < colWidth[i].length; j++) {
if (result[j]['wch'] < colWidth[i][j]['wch']) {
result[j]['wch'] = colWidth[i][j]['wch'];
}
}
}
ws['!cols'] = result;
}
/* add worksheet to workbook */
wb.SheetNames.push(ws_name);
wb.Sheets[ws_name] = ws;
var wbout = XLSX.write(wb, {
bookType: bookType,
bookSST: false,
type: 'binary'
});
saveAs(new Blob([s2ab(wbout)], {
type: "application/octet-stream"
}), `${filename}.${bookType}`);
}
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