记录实现复杂表格导出功能:
原图:
在这里插入图片描述
导出效果:
在这里插入图片描述
实现过程:
第一步:安装

yarn add file-saver xlsx

第二步:引入Blob.js 和 Export2Exvel.js 两个js文件
这里放置目录 src/util/Blob.js src/util/Export2Excel.js
文件源码(网上copy来的):

//Blob.js
(function (view) {
    "use strict";

    view.URL = view.URL || view.webkitURL;

    if (view.Blob && view.URL) {
        try {
            new Blob;
            return;
        } catch (e) {}
    }

    // Internally we use a BlobBuilder implementation to base Blob off of
    // in order to support older browsers that only have BlobBuilder
    var BlobBuilder = view.BlobBuilder || view.WebKitBlobBuilder || view.MozBlobBuilder || (function(view) {
            var
                get_class = function(object) {
                    return Object.prototype.toString.call(object).match(/^\[object\s(.*)\]$/)[1];
                }
                , FakeBlobBuilder = function BlobBuilder() {
                    this.data = [];
                }
                , FakeBlob = function Blob(data, type, encoding) {
                    this.data = data;
                    this.size = data.length;
                    this.type = type;
                    this.encoding = encoding;
                }
                , FBB_proto = FakeBlobBuilder.prototype
                , FB_proto = FakeBlob.prototype
                , FileReaderSync = view.FileReaderSync
                , FileException = function(type) {
                    this.code = this[this.name = type];
                }
                , file_ex_codes = (
                    "NOT_FOUND_ERR SECURITY_ERR ABORT_ERR NOT_READABLE_ERR ENCODING_ERR "
                    + "NO_MODIFICATION_ALLOWED_ERR INVALID_STATE_ERR SYNTAX_ERR"
                ).split(" ")
                , file_ex_code = file_ex_codes.length
                , real_URL = view.URL || view.webkitURL || view
                , real_create_object_URL = real_URL.createObjectURL
                , real_revoke_object_URL = real_URL.revokeObjectURL
                , URL = real_URL
                , btoa = view.btoa
                , atob = view.atob

                , ArrayBuffer = view.ArrayBuffer
                , Uint8Array = view.Uint8Array
                ;
            FakeBlob.fake = FB_proto.fake = true;
            while (file_ex_code--) {
                FileException.prototype[file_ex_codes[file_ex_code]] = file_ex_code + 1;
            }
            if (!real_URL.createObjectURL) {
                URL = view.URL = {};
            }
            URL.createObjectURL = function(blob) {
                var
                    type = blob.type
                    , data_URI_header
                    ;
                if (type === null) {
                    type = "application/octet-stream";
                }
                if (blob instanceof FakeBlob) {
                    data_URI_header = "data:" + type;
                    if (blob.encoding === "base64") {
                        return data_URI_header + ";base64," + blob.data;
                    } else if (blob.encoding === "URI") {
                        return data_URI_header + "," + decodeURIComponent(blob.data);
                    } if (btoa) {
                        return data_URI_header + ";base64," + btoa(blob.data);
                    } else {
                        return data_URI_header + "," + encodeURIComponent(blob.data);
                    }
                } else if (real_create_object_URL) {
                    return real_create_object_URL.call(real_URL, blob);
                }
            };
            URL.revokeObjectURL = function(object_URL) {
                if (object_URL.substring(0, 5) !== "data:" && real_revoke_object_URL) {
                    real_revoke_object_URL.call(real_URL, object_URL);
                }
            };
            FBB_proto.append = function(data/*, endings*/) {
                var bb = this.data;
                // decode data to a binary string
                if (Uint8Array && (data instanceof ArrayBuffer || data instanceof Uint8Array)) {
                    var
                        str = ""
                        , buf = new Uint8Array(data)
                        , i = 0
                        , buf_len = buf.length
                        ;
                    for (; i < buf_len; i++) {
                        str += String.fromCharCode(buf[i]);
                    }
                    bb.push(str);
                } else if (get_class(data) === "Blob" || get_class(data) === "File") {
                    if (FileReaderSync) {
                        var fr = new FileReaderSync;
                        bb.push(fr.readAsBinaryString(data));
                    } else {
                        // async FileReader won't work as BlobBuilder is sync
                        throw new FileException("NOT_READABLE_ERR");
                    }
                } else if (data instanceof FakeBlob) {
                    if (data.encoding === "base64" && atob) {
                        bb.push(atob(data.data));
                    } else if (data.encoding === "URI") {
                        bb.push(decodeURIComponent(data.data));
                    } else if (data.encoding === "raw") {
                        bb.push(data.data);
                    }
                } else {
                    if (typeof data !== "string") {
                        data += ""; // convert unsupported types to strings
                    }
                    // decode UTF-16 to binary string
                    bb.push(unescape(encodeURIComponent(data)));
                }
            };
            FBB_proto.getBlob = function(type) {
                if (!arguments.length) {
                    type = null;
                }
                return new FakeBlob(this.data.join(""), type, "raw");
            };
            FBB_proto.toString = function() {
                return "[object BlobBuilder]";
            };
            FB_proto.slice = function(start, end, type) {
                var args = arguments.length;
                if (args < 3) {
                    type = null;
                }
                return new FakeBlob(
                    this.data.slice(start, args > 1 ? end : this.data.length)
                    , type
                    , this.encoding
                );
            };
            FB_proto.toString = function() {
                return "[object Blob]";
            };
            FB_proto.close = function() {
                this.size = this.data.length = 0;
            };
            return FakeBlobBuilder;
        }(view));

    view.Blob = function Blob(blobParts, options) {
        var type = options ? (options.type || "") : "";
        var builder = new BlobBuilder();
        if (blobParts) {
            for (var i = 0, len = blobParts.length; i < len; i++) {
                builder.append(blobParts[i]);
            }
        }
        return builder.getBlob(type);
    };
}(typeof self !== "undefined" && self || typeof window !== "undefined" && window || this.content || this));

Export2Excel.js
/* eslint-disable */
require('file-saver');
require('@/util/Blob');  // 需要引入blob.js
require('xlsx/dist/xlsx.core.min');
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);
    console.log('a')
    var oo = generateArray(theTable);
    var ranges = oo[1];

    /* original data */
    var data = oo[0];
    var ws_name = "SheetJS";
    console.log(data);

    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")
}

function formatJson(jsonData) {
    console.log(jsonData)
}
export function export_json_to_excel(th, jsonData, defaultTitle, merges = []) {

    /* original data */

    var data = jsonData;
    data.unshift(th);
    var ws_name = "SheetJS";

    var wb = new Workbook(), ws = sheet_from_array_of_arrays(data);

    // const merges = ['A1:B1','A2:A5','A6:A9']
    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: 'xlsx', bookSST: false, type: 'binary'});
    var title = defaultTitle || '列表'
    saveAs(new Blob([s2ab(wbout)], {type: "application/octet-stream"}), title + ".xlsx")
}

文件引入之后,打开Export2Excel.js
在开始的位置引入 Blob.js
在这里插入图片描述
这里我直接把 file-saver xlsx 全都引入进来了,因为不在这里require的话,在页面使用的时候还是要引入。

3、导出实现
到这一步,前提工作基本就做完了,这个时候回到需要导出的页面,在script中引入文件

import {export_json_to_excel} from '@/util/Export2Excel'

只需要引入这个方法就可以了,如果前面没有引入 file-saver xlsx的话,这个也要一并引入
实现代码:

exportExcel() {
		// 表头第二项空着,前两项需要合并单元格
        let tHdader = ['指标/期别', '', '2020年-1月', '2020年-2月', '2020年-3月', '2020年-4月', ...]
        let filterVal = ['name', 'subTitle', '2020年-1月', '2020年-2月', '2020年-3月', '2020年-4月', ...]
        let data = [
        	{name: '工业总产值',subTitle: '当月(千元)', '2020年-1月': 1121, '2020年-2月': 3212, ...},
        	{name: '工业总产值',subTitle: '当月同比增速(%)', '2020年-1月': 12.5, '2020年-2月': -3, ...},
        	{name: '工业总产值',subTitle: '1-当月累计(千元)', '2020年-1月': 1121, '2020年-2月': 3212, ...},
        	{name: '工业总产值',subTitle: '1-当月累计同比增速(%)', '2020年-1月': 12.5, '2020年-2月': 7.8, ...},
        	{name: '工业销售产值',subTitle: '当月(千元)', '2020年-1月': 1121, '2020年-2月': 3212, ...},
        	{name: '工业销售产值',subTitle: '当月同比增速(%)', '2020年-1月': 12.5, '2020年-2月': -3, ...},
        	{name: '工业销售产值',subTitle: '1-当月累计(千元)', '2020年-1月': 1121, '2020年-2月': 3212, ...},
        	{name: '工业销售产值',subTitle: '1-当月累计同比增速(%)', '2020年-1月': 12.5, '2020年-2月': 7.8, ...},
		]
        let merges = ['A1:B1'] // 表头合并
        // 列的合并是有规律的,每4项合并一次,只要获取到每次合并的行数和列数即可
        data.map((item, index) => {
            if ((index + 1) % 4 == 0) {
               // A2:A5  A6:A9  A10:A13
                merges.push(`A${index - 1}:A${index + 2}`)
             }
         })

         let fileName = 'xxx汇总表'
         require.ensure([], () => {
              const list = this.formatJson(filterVal, data)
              export_json_to_excel(tHdader, list, fileName, merges)
         })
},
formatJson(filterVal, jsonData) {
    return jsonData.map(v => filterVal.map(j => v[j]))
}

单元格合并一开始没看明白,然后打开一个空的excel就看明白了。
A1:B1 就是把第一行 A列和B列表单元格合并 AB表示列 1 2表是行 对应坐标位置
在这里插入图片描述

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