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''
- }]