Prompts to Power BI using Python scripts

import pandas as pd
import numpy as np

dataset= pd.read_csv("abhicomp.csv")

v1 = dataset['Latest Packaged Version'].fillna('').tolist()
v2 = dataset['Version'].fillna('').tolist()

def change_string_to_ascii(v12):
    
    fin_list = []
    for i in v12:
        if(i.isdigit()):
            fin_list.append(i)
        else:
            #print(i)
            fin_list.append(ord(i))
        
    #fin_str = "".join(fin_list)
    return fin_list


def compare_list(list1, list2):
    result_list = []
    for i,j in zip(list1, list2):
        if (i == "" or j == ""):
            if(i == ""):
                result_list.append("Upgraded")
            else:
                result_list.append("Not Upgraded")
            continue 
        
        if(len(i) > len(j)):
            result_list.append("Not Upgraded")
            continue
        elif(len(i)< len(j)):
            result_list.append("Upgraded")
            continue
            
        else:
            
            i_arr = i.split(".")
            j_arr = j.split(".")
        
            i_arr_dl = change_string_to_ascii(i_arr)
            j_arr_dl = change_string_to_ascii(j_arr)
        
            count = 0
            for i_val, j_val in zip(i_arr_dl, j_arr_dl):
                count+=1
                if(i_val > j_val):
                    result_list.append("Not Upgraded")
                    break
                elif(i_val == j_val):
                    #print(count, len(i_arr))
                    if(count == len(i_arr)):
                        #print("added")
                        result_list.append("Upgraded")
                    else:
                        continue
                elif(i_val < j_val):
                    result_list.append("Upgraded")
                    break
    return result_list



version_check_list = compare_list(v1, v2)
dataset['res'] = version_check_list

Here you go with the formatted code. It is pretty similar to what I posted on earlier just with few more added corner cases. Thank you again for the help.