openpyxl - Load only a single sheet to prevent pivot tables from being involved

Question

I want to load an .xlsx file with openpyxl:

from openpyxl import Workbook, load_workbook
wb = load_workbook(filename = "my_excel_file.xlsx", data_only = True)

However, it takes a very long time to load the workbook (>90 seconds for a file of 4 MB). I suspect that this is due to a pivot table in Sheet2. There have been reported many cases where pivot tables have messed with previous versions of openpyxl. With my current version (3.0.9) the workbook can be loaded, but I assume that the pivot table is the reason why it is so slow.

Is there a way to load only a specific sheet, and not the entire .xlsx file, so that I could avoid having to deal with the pivot table? Something like this:

wb = load_workbook(filename = "my_excel_file.xlsx", data_only = True, sheet = "Sheet1")

Or any other idea to avoid having the pivot table slow down everything?

Unfortunately, I cannot share the .xlsx file due to confidentiality considerartions. Also, I cannot remove the pivot table from the file because my colleagues work with it.