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'

最后

以上就是飞快乌龟最近收集整理的关于python写入excel文件太慢如何解决-python往excel写入大量数据的全部内容，更多相关python写入excel文件太慢如何解决-python往excel写入大量数据内容请搜索靠谱客的其他文章。