CSV match

import pandas as pd
from fuzzywuzzy import fuzz

df1 = pd.read_csv("JonnyTheBoy10.csv", usecols=['ART_TIPO', 'ART_DESIG', 'PORTA', 'CP4', 'CP3', 'LOCALIDADE'], low_memory=False)
df2 = pd.read_csv("JonnyTheBoyFull.csv", usecols=['ART_TIPO', 'ART_DESIG', 'PORTA', 'CP4', 'CP3', 'LOCALIDADE'], low_memory=False)

print("Total rows: {0}".format(len(df2)))
print("Total rows: {0}".format(len(df1)))

for line in df1.iterrows():
    for row in df2.iterrows():
        if df1['CP4'] == df2['CP4'] and df1["CP3"] == df2["CP3"]:

            # Write all the match in file

            if row == 1:
                df2.to_csv('Norm.csv')
                print("ok")

                # csv csv
                f = open("clean_csv.csv", "w")
                f.truncate()
                f.close()
            else:
                c = fuzz.token_sort_ratio(line, row)
                print("teste 1:", c)
                if c >= 93:
                    df2.to_csv('Norm.csv')
                    print("2 ok")

                    # csv csv
                    f = open("clean_csv.csv", "w")
                    f.truncate()
                    f.close()
                else:
                    c = fuzz.token_sort_ratio(line, row)
                    print("Down of 93%\n\n")
                    if c >= 87:  # Done
                        df2.to_csv('Norm.csv')

                        # csv csv
                        f = open("clean_csv.csv", "w")
                        f.truncate()
                        f.close()
                    else:  # Done
                        print("Down of 85%\n\n")
                        df1.to_csv('AI.csv')

                        # csv csv
                        f = open("clean_csv.csv", "w")
                        f.truncate()
                        f.close()

        elif df1['CP4'] == df2['CP4']:  # Done

            # Write all the match in csv

            c = fuzz.token_sort_ratio(line, row)

            if c >= 87:  # Done
                df2.to_csv('Norm.csv')

                # clean csv
                f = open("clean_csv.csv", "w")
                f.truncate()
                f.close()
            else:  # Done
                print("Down of 85%\n\n")
                df1.to_csv('AI.csv')

                # clean csv
                f = open("clean_csv.csv", "w")
                f.truncate()
                f.close()

        elif df1['LOCALIDADE'] == df2['LOCALIDADE']:

            # Write all the match in csv

            c = fuzz.token_sort_ratio(line, row)

            if c >= 85:  # Done
                df2.to_csv('Norm.csv')

                # clean csv
                f = open("clean_csv.csv", "w")
                f.truncate()
                f.close()
            else:  # Done
                print("Down of 85%\n\n")
                df1.to_csv('AI.csv')

                # clean csv
                f = open("clean_csv.csv", "w")
                f.truncate()
                f.close()

        else:  # Done
            pass

print("Done")