你的表是117万条吧，如果还是需要excel，可以分两张表试试
【pandas】疑难杂症to_excel超出限制:This sheet is too large! 改为to_csv --- ***厚德达理,励志勤工*** --- 好文要顶 关注我 收藏该文 微信分享 HuaBro 粉丝- 7 关注- 9 +加关注 0 0 升级成为会员 « 上一篇: 【pandas】疑难杂症排除XLRDError:Unsupported format, or corrupt file »...
最近在用python的pandas库导Excel表,遇到数据量太大,导出时候直接抛出异常 ValueError: This sheet is too large! Your sheet size is: 1286685, 19 Max sheet size is: 1048576, 16384 原本的代码实现是: pd.to_excel("fileName.xlsx",sheet_name="sheet1") 1. 解决方法 尝试修改引擎为openpyxl...
ValueError: This sheet is too large! Your sheet size is: 1286685, 19 Max sheet size is: 1048576, 16384 原本的代码实现是: pd.to_excel("fileName.xlsx",sheet_name="sheet1" ) 解决方法 尝试修改引擎为openpyxl,也是会抛出异常 pd.to_excel("fileName.xlsx",sheet_name="sheet1" ...
sometimes even cause corruption in file cannot be opened, the following is my collection of the causes and treatment methods of file inflated, other cases not mentioned and solutions, welcome everybody to add: A work table has a large number of small picture object caused by file increases, ...
,thenthehiddenrowsorcolumns,orsettheroworcolumnwidthisverysmall,sothattheinsertedobjectcannotsee(5)iscompletelyinvisiablepropertysheet(Visible=false)oftheobjectorobjectlinesandfillcolorandcoloraresettothesame,soastonotseeMethodofjudgment:(1)CTRL-G,positioning,positioningconditionsintheelectionoftheobject,the...
开发环境 MySQL10.1.38-MariaDB-1~bionic Python3.7.8 开发工具 PyCharm2018.1 SmartGit18.1 Navicat15.0.28 问题描述 最近在用python的pandas库导Excel表,遇到数据量太大,导出时候直接抛出异常 ValueError: This sheet is too large! Your sheet size is: 1286685, 19 Max sheet size is: 1048576, 16384 ...
Is there any excess data (rows/columns) that can be deleted (ie. any data that formulas are not referencing?) You can Save As the file to a binary sheet (.xlsb) to reduce the file size if it has a lot of data. You can utilize Power Query to manage your data ETL (extraction, tr...
Is there any excess data (rows/columns) that can be deleted (ie. any data that formulas are not referencing?) You can Save As the file to a binary sheet (.xlsb) to reduce the file size if it has a lot of data. You can utilize Power Query to manage your data ETL (extraction, tr...
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