# -*- coding: utf-8 -*-
"""
@author: Maxime Boucher
"""
pip install fuzzywuzzy[speedup]
import pandas as pd
from fuzzywuzzy import fuzz
from fuzzywuzzy import process

df = pd.read_excel(r'Enter input directory.xlsx')
df.head(25)

#Set column
choices = df['supplier-standardized-name'].unique()
choices[:15]

#Build dataframes with the ouput of process.extract 
a1=process.extract("Accenture", choices, limit=30, scorer=fuzz.token_set_ratio)
a2=process.extract("Airbus Group", choices, limit=30, scorer=fuzz.token_set_ratio)
a3=process.extract("Lockheed Martin", choices, limit=30, scorer=fuzz.token_set_ratio)

#Build zipped list with generated dataframes
zippedList = list(zip(a1,	a2,	a3))

#Build dataframe with zipped list
dfObj = pd.DataFrame(zippedList, columns = ["a1",	"a2",	"a3"])

#Save dataframe as excel file
dfObj.to_excel('Enter output directory.xlsx')