I have a matrix (17,11).

I have a dataframe with one column. I would like to run some computations based on the values of these columns and add new columns with column names as a string+value of column1 in a loop.
my_list = [123, 456, 789]
my_df = pd.DataFrame(my_list, columns=[‘Numbers’])

I am new to Pandas and wanted to see if someone could help with providing a loop in Python to copy a cell value in a row to the cell underneath it in the same column?

Here is my dataframe.
There is a date index and there are 4 symbols for each date.
I want to loop over each date for each symbol.
The ‘quantity’ column is calculated based on the ‘tot_value’ of the previous date. The ‘tot_value’ is computed for a specific date and is common for all symbols. The ‘value’ column varies for each symbol for each date.

Here is my dataframe.
There is a date index and there are 4 symbols for each date.
I want to loop over each date for each symbol.
The ‘quantity’ column is calculated based on the ‘tot_value’ of the previous date. The ‘tot_value’ is computed for a specific date and is common for all symbols. The ‘value’ column varies for each symbol for each date.