快捷導(dǎo)航

python各種excel寫(xiě)入方式的速度對(duì)比

更新時(shí)間：2020年11月10日 09:29:09 作者：左手小兜

這篇文章主要介紹了python各種excel寫(xiě)入方式的速度對(duì)比，具有很好的參考價(jià)值，希望對(duì)大家有所幫助。一起跟隨小編過(guò)來(lái)看看吧

經(jīng)過(guò)實(shí)驗(yàn)，新建一個(gè)excel表格，該表格擁有7個(gè)sheet，每個(gè)sheet有800條數(shù)據(jù)，其中最后一個(gè)sheet為空。

首先使用openpyxl進(jìn)行寫(xiě)入操作，代碼如下：

book = openpyxl.Workbook()
auths = Auth.objects.filter(owner_id=1)
filename = '導(dǎo)出數(shù)據(jù)'
for auth in auths:
  sheet = book.create_sheet(auth.name, index = 0)
  sheet.append([
      _("書(shū)名"),
      _("作者"),
      _("譯者"),
      _("出版社"),
      _("序列號(hào)"),
      _("總頁(yè)數(shù)"),
    ])
  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寫(xiě)入數(shù)據(jù)：

book = xlwt.Workbook()
auths = Auth.objects.filter(owner_id=1)
filename = '導(dǎo)出數(shù)據(jù)'
for auth in auths:
  sheet = book.add_sheet(sensor.name)
  sheet.write(0, 0, _("書(shū)名"))
  sheet.write(0, 1, _("作者"))
  sheet.write(0, 2, _("譯者"))
  sheet.write(0, 3, _("出版社"))
  sheet.write(0, 4, _("序列號(hào)"))
  sheet.write(0, 5, _("總頁(yè)數(shù)"))
  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寫(xiě)入數(shù)據(jù)：

book = xlsxwriter.Workbook(output)
auths = Auth.objects.filter(owner_id=1)
for auth in auths:
  sheet = book.add_worksheet(sensor.name)
  header = [
      _("書(shū)名"),
      _("作者"),
      _("譯者"),
      _("出版社"),
      _("序列號(hào)"),
      _("總頁(yè)數(shù)"),
    ]
  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)

三者的時(shí)間比較（兩種方式的文件內(nèi)容是一樣的）：

openpyxl: 文件大小為110.75kb, 平均時(shí)間大約為570ms

xlwt: 文件大小為505.91kb，平均時(shí)間大約為440ms

XlsxWrite: 文件大小為109.28kb，平均時(shí)間大約為500ms

xlwt寫(xiě)入的行數(shù)有限制，因此對(duì)于較大的文件來(lái)說(shuō)，XlsxWrite的速度較快一點(diǎn)

補(bǔ)充知識(shí)：python寫(xiě)入excel文件太慢如何解決-python往excel寫(xiě)入大量數(shù)據(jù)

目前用的openpyxl，從數(shù)據(jù)庫(kù)獲取8W行的數(shù)據(jù)通過(guò)openpyxl寫(xiě)入excel，要花費(fèi)接近8分鐘，這也太慢了，用kettle的插件秒進(jìn)，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不能為空'

以上這篇python各種excel寫(xiě)入方式的速度對(duì)比就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持腳本之家。

您可能感興趣的文章: