Multiple nested if conditions

I have a dataframe (DF) with size (2000 rows x 10 columns).

The structure of the code is multiple nested if conditions:

DF['NewColumn']=''

for i in range (0, len(DF))
  if condition
    define variable etc
    if condition
      DF['NewColumn'].values[i]= some value
    else:
      DF['NewColumn'].values[i]= some value  

etc

Basically, I loop over each row of the dataframe, check the conditions and populate each row of a new column according to the set of if conditions.

Apologies if my question is not specific enough but I am looking for way to code this problem more efficiently. I am keen to hear your thoughts.

Can i use a class or vectorise? I am not sure how to restructure my problem

Many Thanks