经过实验，新建一个excel表格，该表格拥有7个sheet，每个sheet有800条数据，其中最后一个sheet为空。

首先使用openpyxl进行写入操作，代码如下：

book = openpyxl.Workbook()auths = Auth.objects.filter(owner_id=1)filename = '导出数据'for auth in auths: sheet = book.create_sheet(auth.name, index = 0) sheet.append([ _("书名"), _("作者"), _("译者"), _("出版社"), _("序列号"), _("总页数"), ]) objs = None objs = Book.objects.filter(owner_id=auth.id) for u in objs: data = [] data.append(u.name) data.append(auth.name) data.append(u.translator) data.append(u.press) data.append(u.serializer) data.append(u.page) sheet.append(data)return ExcelBookResponse(book, filename)

使用xlwt写入数据：

book = xlwt.Workbook()auths = Auth.objects.filter(owner_id=1)filename = '导出数据'for auth in auths: sheet = book.add_sheet(sensor.name) sheet.write(0, 0, _("书名")) sheet.write(0, 1, _("作者")) sheet.write(0, 2, _("译者")) sheet.write(0, 3, _("出版社")) sheet.write(0, 4, _("序列号")) sheet.write(0, 5, _("总页数")) i = 1 objs = None objs = Book.objects.filter(owner_id=auth.id) for u in objs: sheet.write(i, 0, u.name) sheet.write(i, 1, auth.name) sheet.write(i ,2,u.translator) sheet.write(i ,3,u.press) sheet.write(i, 4, u.serializer) sheet.write(i, 5, u.page) i += 1return ExcelBookResponse(book, filename)

使用XlsxWriter写入数据：

book = xlsxwriter.Workbook(output)auths = Auth.objects.filter(owner_id=1)for auth in auths: sheet = book.add_worksheet(sensor.name) header = [ _("书名"), _("作者"), _("译者"), _("出版社"), _("序列号"), _("总页数"), ] sheet.write_row("A1", header) objs = Book.objects.filter(owner_id=auth.id) i = 1 for u in objs: sheet.write(i, 0, u.name) sheet.write(i, 1, auth.name) sheet.write(i ,2,u.translator) sheet.write(i ,3,u.press) sheet.write(i, 4, u.serializer) sheet.write(i, 5, u.page) i += 1book.close()file_ext = 'xlsx'mimetype = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'# self['Content-Disposition'] = 'attachment; filename*=UTF-8\'\'"{2}.{1}"; filename="{0}.{1}"'.format(filename.replace('"', '\"'), file_ext, urllib.parse.quote(filename.replace('"', '\"'))).encode('utf8')return HttpResponse(content=output.getvalue(), content_type=mimetype)

三者的时间比较（两种方式的文件内容是一样的）：

openpyxl: 文件大小为110.75kb, 平均时间大约为570ms

xlwt: 文件大小为505.91kb，平均时间大约为440ms

XlsxWrite: 文件大小为109.28kb，平均时间大约为500ms

xlwt写入的行数有限制，因此对于较大的文件来说，XlsxWrite的速度较快一点

补充知识：python写入excel文件太慢如何解决-python往excel写入大量数据

目前用的openpyxl，从数据库获取8W行的数据通过openpyxl写入excel，要花费接近8分钟，这也太慢了，用kettle的插件秒进，python有什么方法能提升速度么，或者openpyxl能批量插入么，按行效率太低了

#!/usr/bin/python# -*- coding: UTF-8 -*-from openpyxl import Workbook as wbookdef xlsx(filename, rows_info, sheet='Result'):if filename and sheet:wb = wbook()_sheet = wb.active_sheet.title = sheetrow = _sheet.max_rowfor line in rows_info:if isinstance(line, str):row_list = [line]elif isinstance(line, dict):row_list = list(line.values())else:try:row_list = list(line)except:row_list = []for col in range(0, len(row_list)):col_info = row_list[col]_sheet.cell(row, col + 1, col_info)row += 1wb.save(filename)else:return '文件和sheet不能为空'

以上这篇python各种excel写入方式的速度对比就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。