Simple decision rules in python

I have the following pandas data frame and I need to write a python function using if else statements to predict cheat if yes (1) or no (0). The decisions rules need to follow the tree in the figure below. The code I have written so far is below as well but it does not populate the output list with the no (0) values. Can you please help me get this corrected?

1 1 # Function for tree prediction 2. 3 def predict(df, vari, var2, var3): 4. targ = [] 5 for row in df: 6 if varl == 'yes': 7 targ.append(1) 8. else: 9 if var3 == 'no': 10 targ.append() 11 else: 12 if var2 'married': 13 targ.append(0) 14 else: 15 targ.append(1) 16 return targ HN LOON 000 1 1 1 1 1 1 my_targ = predict(data, 'refund', 'marital_status', 'income_above_80k') ' 2 my_targ = [1, 1, 1, 1] refund marital_status income_above_80k cheat 0 yes single yes no 1 no married yes no 2 no single no no 3 yes married yes no 4 no divorced yes yes 5 no married no no 6 6 yes divorced yes no 7 no single yes yes 8 no married no no 9 no single yes yes Refund No Yes Predict No Income above 80k No Yes Predict No Marital Status Married Single or divorced Predict No Predict Yes