安装依赖:
"file-saver" 是一个 JavaScript 库,用于在浏览器中保存文件。它提供了一种简单的方式,允许你通过 JavaScript 在客户端创建和下载文件,而无需服务器的参与。使用 file-saver,你可以将生成的数据(例如从后端获取的数据或处理后的数据)保存为文件,让用户可以下载和保存到本地计算机。
cnpm install file-saver --save
"xlsx" 是用于 Microsoft Excel 文件的文件格式。它代表 "XML Spreadsheet",常用于存储和处理电子表格数据。在 Web 开发中,你可以使用各种 JavaScript 库来处理 xlsx 文件,提供读取、写入和操作 Excel 文件的功能。
cnpm install xlsx --save
"script-loader" 是一个用于动态加载 JavaScript 脚本的工具。它提供了一种在运行时加载外部 JavaScript 文件的方法,而无需在 HTML 中显式添加 <script> 标签。这对于按需加载特定的 JavaScript 文件或根据条件加载不同的脚本文件很有用。使用 script-loader,你可以在需要时异步加载和执行 JavaScript 代码,以优化页面加载性能和资源利用率。
cnpm install script-loader --save-dev
下载Export2Excel.js文件 在src下创建目录vassets/Export2Excel.js
以下是下载好的Export2Excel.js文件:
/* eslint-disable */
import { saveAs } from 'file-saver'
import * as 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 = "SheetJS";
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 = [],
header,
data,
filename,
merges = [],
autoWidth = true,
bookType = 'xlsx'
} = {}) {
/* original data */
filename = filename || 'excel-list'
data = [...data]
data.unshift(header);
for (let i = multiHeader.length - 1; i > -1; i--) {
data.unshift(multiHeader[i])
}
var ws_name = "SheetJS";
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))
})
}
/* 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}`);
}
在组件中使用
//导出方法
exportExcel () {
import('@/assets/Export2Excel').then(excel => {
const multiHeader = [['标题', '','']] // 标题
const header = ['姓名', '年龄','手机号'] // 表头
const filterVal = ['username', 'age','mobile'] // 数据属性
const list = this.tableData //请求来的数据
const merges = ['A1:B1'] //需要合并的单元格
const data = list.map(item => filterVal.map(j => item[j])) // 转换二维数组
const filename = '复杂员工列表'
excel.export_json_to_excel({
multiHeader, // 标题--非必要
header, // 表头
data, // 具体数据--二维数组
merges, // 合并--非必要
filename // 下载文件名
})
})
}
tableData数据结构:
tableData: [{
correctionTime: '2018-11-30',
mobile: '13800000001',
timeOfEntry: '2025-11-01',
username: '张三',
age: '21'
},
{
correctionTime: '2018-11-30',
mobile: '13800000002',
timeOfEntry: '2025-11-01',
username: '李四',
age: '23'
}]