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 += 1

return 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 += 1

book.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 wbook

def xlsx(filename, rows_info, sheet='Result'):

if filename and sheet:

wb = wbook()

_sheet = wb.active

_sheet.title = sheet

row = _sheet.max_row

for 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 += 1

wb.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聚米学院。