I have another script that opens a bunch of excel sheets and exports a bunch of data to them. However, it is incapable of saving those documents automagically. Is there a way in python to grab all the currently open excel sheets, save them, and then close them?
What libraries are you using?
you can use
for each wb in xl.workbooks:
wb.close(true)
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I am exporting data from python to excel using pandas in python. I am using a loop to iteratively create data frames and update the excel file.
I cannot use the writer.save() function in the middle of the loop because the next iteration has trouble opening the file to update it. The error is something about trying to open a closed file.
But if I use writer.save() at the end, and there is some error in the middle of the loop, then although an excel file is created (and updated until the error hits), I cannot open it because Windows cannot recognize the extension. This is preventing me from looking at the data that is being generated in the incomplete excel file.
Please help, thanks!
I have large excel files with format .xlsb and .xlsx. I need to read only one sheet from all these files in python. It takes forever to use read_excel on these files. I want to save off that sheet I need as a .csv file and then read it to make it quicker. The only problem is that I have 24 of these excel workbooks and I don't have the time to manually take that sheet for each workbook and save it as .csv. Any suggestions on how I can change the format of just that one sheet?
An .xlsx-file is technically a folder. It is possible to open it as a zip-file and extract the individual sheets. However, I have never attempted to do this using Python, so I do not know how easy it is to do.
HI I have a rather huge excel file (.xlsx) and has got multiple tab that I need to access for various purpose. Every time I have to read from excel it slows the process down. is that any way I can load selected tabs to cache the first time I read the excel book? thanks
I am currently trying to load a workbook an read its data with openpyxl on windows. The thing is that I would like to do it even if the workbook is already opened in Excel.
For now, I get a PermissionError even when I'm using load_workbook(filename=filename, read_only=True).
I read that it was impossible to write data on an opened file on windows, contrary to POSIX based OSs. Is it also true for reading data?
I am able to read excel workbooks into python when the workbooks are open in LibreOffice Calc. LibreOffice is an open source alternative to MS Office, with Calc being the spreadsheet tool in LibreOffice. Apparently, Calc doesn't lock the workbooks when they are open.
The question is pretty simple, actually.
I'm reading an Excel file using Pandas. When I open it using Office's Excel in my Desktop I'm prompted to Enable Content and then Update Links [that is, update values in those cells importing information from cells in other workbooks and xslx files], so it reads other files in some other folders.
While using pd.read_excel('filename') however that option is not available, and I'm afraid it's importing the data previously contained in the spreadsheet without updating it. Is there a workaround?