XlsxWriter VS xlrd

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/

Extraction: https://www.python-excel.org/

xlwt ([OPTION] For export xls files)

Have a look at some of the projects linked on this page.

Yes you’ll be able to automate. Try this website that lists a few Python Excel libraries. https://www.python-excel.org/

As business requirements evolve, certain features are expected to evolve as well. That was the case for me few days ago when I had to implement a feature where Django model's data are converted to .xlsx excel format and sent, as attachment, to a provided email address literally. It was a big problem for me to figure out how to do this with that file extension as most available solutions were using the old .xls excel file extension and none really talked about sending excel file as attachments of an email sent via Django. To solve this problem, I looked at a similar solution by Vitor Freitas who used xlwt to export Django model's data to .xls excel file format and served it as response data to the user for download. Though a great companion, I needed a different file extension and was solving a slightly different problem. From further research, I came across Working with Excel Files in Python, from Working with Spreadsheets using Python, which recommended openpyxl for "reading and writing Excel 2010 files (ie: .xlsx)" so I decided to try the package out. This experience birthed this article where I utilized coingecko's api to periodically fetch cryptocurrency's coin's data, store the data in a database, and then display as well as allow users to extract the data to excel files sent to any email address provided. It's my deepest hope that you will find it helpful.

Great. What library are you using? (There's a half dozen of them.) Are you reading in an Excel file directly or exporting/importing through csv's? df2 and inplace sound like pandas dataframes -- are you using that?

Use http://www.python-excel.org/ and consider this process: