import pandas as pd
df1 = pd.read_csv('sales.csv',sep=',')
df1['R_Quartile'] = pd.qcut(df1['recency'],[0,0.25,0.5,0.75,1],[4,3,2,1]).astype('str')
df1["F_Quartile"] = pd.qcut(df1['frequency'],[0,0.25,0.5,0.75,1],[1,2,3,4]).astype('str')
df1['M_Quartile'] = pd.qcut(df1['monetary'],[0,0.25,0.5,0.75,1],[1,2,3,4]).astype('str')
df1['RFMClass'] = df1['R_Quartile'] + df1['F_Quartile'] + df1['M_Quartile']
print(df1.loc[:,['user_id','recency','frequency','monetary','RFMClass',]].head())
print(df1.loc[df1['RFMClass']=='444',['user_id','recency','frequency','monetary','RFMClass',]].sort_values(by="monetary",ascending=False).reset_index(drop=True).head())