1、安装依赖:
npm install -S file-saver
npm install -S xlsx
npm install -D script-loader
2、static文件夹下新建excel/Export2Excel.js (放在下面了。static中存放别人的文件,assets中存放自己的文件)
3、
<div @click="outTab">导出</div>
outTab() { import('@static/excel/Export2Excel').then(excel => { const tHeader = ['序号', '项目名称', '方案编号', '项目类型', '任务类型', '任务发布时间', '待审查任务'] // 导出的excel表头名信息 const filterVal = ['id', 'projectName', 'schemeNo', 'projectType', 'taskStyle', 'startTime', 'taskStatus'] // 导出的excel表头字段名,需要导出表格字段名(table中的prop字段) const list = JSON.parse(JSON.stringify(this.tableData)) // 深拷贝,不影响原来的值
// 这里是做数据的遍历,导出状态码对应的文字描述 list.forEach(item => { this.projectTypeList.forEach(ele => { if (item.projectType == ele.code) { item.projectType = ele.value } }) }) const data = this.formatJson(filterVal, list) const autoWidth = true excel.export_json_to_excel({ header: tHeader, //表头 data, //数据 filename: '实时数据', //名称 autoWidth: true //宽度自适应 }) }) }, //格式转换,不需要改动 formatJson(filterVal, jsonData) { return jsonData.map(v => filterVal.map(j => v[j])) },
Export2Excel.js :
import { saveAs } from 'file-saver' 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 = '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)) }) } 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 } } else if (val.toString().charCodeAt(0) > 255) { /*再判断是否为中文*/ 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}` ) }