pyexcel VS XlsxWriter

You could try and write some simple python using the pyexcel and pandas libraries. I created a tool as a consultant with these packages that parsed spreadsheets with data from factories from all around the world. They did not lock down the Excel files used to submit data and it made it so much harder. If you go this route, I would recommend starting by putting your data into a SQLite database. Once you have your data in a database, you unlock the power of SQL for pulling reports. Also, you can port the data into a proper database if you ever need to. ChatGPT can probably get you a good chunk of the way there.

openpyxl

If you must, use xlsxwriter to write it directly into the Excel spreadsheet. This is kind of a pain. If you can get away with, say, writing the data to a CSV and then copy-pasting it into the Excel sheet, you should do that instead because it's so much more conceptually simple and works directly with the Python data structures that you parsed in Step 3. Automation doesn't have to be completely fire-and-forget to save you a ton of time!

https://xlsxwriter.readthedocs.io/ is what you are looking for most probably. Try using this library instead of pyplot for the above steps

xlsxwriter…

I've been in this situation a few times. I would just open the excel sheet in python using xlsxwriter: https://xlsxwriter.readthedocs.io/

Bam! https://xlsxwriter.readthedocs.io

For the opposite direction, I have had good luck with the XlsxWriter library

https://github.com/jmcnamara/XlsxWriter

I'm less familiar with the R ecosystem, but there are tools in the Python world to go that direction -- https://xlsxwriter.readthedocs.io/