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Opening an Excel File in Python Disables Dynamic Arrays

I have an excel workbook that uses functions like OFFSET, UNIQUE, and FILTER which spill into other cells. I'm using python to analyze and write some data to the workbook, but after doing so these formulas revert into normal arrays. This means they now take up a fixed number of cells (however many they took up before opening the file in python) instead of adjusting to fit all of the data. I can revert the change by selecting the formula and hitting enter, but there are many of these formulas it's more work to fix them than to just print the data to a text file and paste it into excel manually. Is there any way to prevent this behavior?
I've been using openpyxl to open and save the workbook, but after encountering this issue also tried xlsxwriter and the dataframe to excel function from pandas. Both of them had the same issue as openpyxl. For context I am on python 3.11 and using the most recent version of these modules. I believe this issue is on the Python side and not the Excel side, so I don't think changing Excel settings will help, but maybe there is something there I missed.
Example:
I've created an empty workbook with two sheets, one called 'main' and one called 'input'. The 'main' sheet will analyze data from the 'input' sheet which will be entered with openpyxl. The data will just be values in the first column.
In cell A1 of the 'main' sheet, enter =OFFSET(input!A1,0,0,COUNTA(input!A:A),1).
This formula will just show a copy of the data. Since there currently isn't any data it gives a #REF! error, so it only takes up one cell.
Now I'll run the following python code to add the numbers 0-9 into the first column of the input sheet:
from openpyxl import load_workbook
wb = load_workbook('workbook.xlsx')
ws = wb['input']
for i in range(10):
ws.append([i])
wb.save('workbook_2.xlsx')
When opening the new file, cell A1 on the 'main' sheet only has the first value, 0, instead of the range 0--9. When selecting the cell, you can see the formula is now {=OFFSET(input!A1,0,0,COUNTA(input!A:A),1)}. The curly brackets make it an array, so it wont spill. By hitting enter in the formula the array is removed and the sheet properly becomes the full range.
If I can get this simple example to work, then expanding it to the data I'm using shouldn't be a problem.

Python: adding a column to one sheet from an excel file

I'm trying to add just one empty column into one sheet of an excel file. The excel file that I'm using has a specific structure that I can't change. That being said the column right after where I am trying to insert has a very small width. The code I have below will not insert the column before that small column and after a standard size column. But when I adjust the index to be in between 2 standard size columns there's no issue.
How can I fix my code to not have this issue inserting a column or are there better methods?
from openpyxl import load_workbook
workbook = load_workbook('file.xlsx')
sheet= workbook.worksheets[8]
sheet.inset_cols(185)
workbook.save(filename= 'file.xlsx')

Pandas truncates a column width when using read_csv

I'm trying to open a excel .csv file using pandas, and storing it in a variable. However, it truncates one of the strings.
Excel .csv file
That's the file information, but when I check this is what i get.
Case Owner; Resolved Date/Time;Case Origin;Case Number;Status;Subject
Reinaldo Franco;10/16/2021 3:54 PM;Chat;20546561;Resolved;General Support
Catalina Sanchez;10/16/2021 5:38 AM;Chat;5625033;Resolved;Support for pay...
As you can see, it truncates where it says Support for pay..., and when I try to use to_csv() it doesn't save the entire column. So I think is a problem when reading the file, but not sure.

Since I needed to keep all the information in one cell and not separating it by columns, I was able to display all the information by maximizing the cell width by using: pd.options.display.max_colwidth = 1000 (it is 50 by def)

make custom spreadsheets with python

I have a pandas data frame with two columns:
year experience and salary
I want to save a csv file with these two columns and also have some stats at the head of the file as in the image:
Is there any option to handle these with pandas or any other library of do I have to make a script to write it line adding the commas between fields?

Pandas does not support what you want to do here. The problem is that your format is no valid csv. The RFC for CSV states that Each record is located on a separate line, implying that a line corresponds to a record, with an optional header line. Your format adds the average and max values, which do not correspond to records.
As I see it, you have three paths to go from here: i. You create two separate data frames and map them to csv files (super precise would be 3), one with your records, one with the additional values. ii. Write your data frame to csv first, then open that file and insert the your additional values at the top. iii. If your goal is an import into excel, however, #gefero 's suggestion is the right hint: try using the xslxwriter package do directly write to cells in a spreadsheet.

You can read the file as two separate parts (stats and csv)
Reading stats:
number_of_stats_rows = 3
stats = pandas.read_csv(file_path, nrows=number_of_stats_rows, header=None).fillna('')
Reading remaining file:
other_data = pandas.read_csv(file_path, skiprows=number_of_stats_rows).fillna('')

Take a look to xslxwriter. Perhaps it´s what you are looking for.

Use a value from a cell which is written with formulas

I have two columns in Excel. The first(column C) has cells with values, the second one(column B), I had used a script to extract some values from the first one with Excel formulas.
Now I want to use the values from the second column in another column and the script doesn't have any errors but gives me empty cells because the second column contains formulas.
Is it possible to paste values or to extract only the values from the second column?
Here is my code:
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=3).value=listaunica[i]
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=2).value='=iferror(find(".",C{0}),C{0})'.format(i+1)
Can someone help me with this?

I do not fully understand your situation, so I will explain some possibilities:
(1) You have an Excel workbook that was saved using Excel itself. In this case, column B should have both formulas and the results of those formulas, because Excel would have calculated them.
(2) You have an Excel workbook that was saved using some other method, such as being written by OpenPyXL, and has not (yet) been opened and saved by Excel. In this case, you most likely have either formulas or results stored in column B.
When you are reading using OpenPyXL, you have to choose whether you want formulas or results. This is controlled by the data_only parameter. Set this to True if you want just the results. If your workbook was saved in Excel, and thus has both formulas and results, then the way to read them both in OpenPyXL is to open the workbook twice, once with data_only=False and once with data_only=True. Cumbersome, but that is how OpenPyXL is designed.
If you have a workbook from scenario (2), and column B still looks like it has formulas, then most likely trying to open the workbook using data_only=True will just return zeros for column B. You won't be able to get the results from this workbook until you open it in Excel and then save it.

Try this
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=3).value=listaunica[i]
for i in range(0,len(listaunica)):
ws4.cell(row=i+1,column=2).value='=iferror(find(".",C{0}),C{0})'.format(i+1)
ws4.cell(row=i+1,column=2).value = ws4.cell(row=i+1,column=2).value
For reference Does .Value = .Value act similar to Evaluate() function in VBA??