def process_df(self, df, conditions):
         resultant_df = self.data_frame
         if conditions[2]=='trail':
               new_df={0:{'filter'{'filter1':resultant_df.loc[resultant_df[conditions[0]] == conditions[8]]},'filteer':{'filter1':resultant_df.loc[resultant_df[conditions[0]] == conditions[8]]}},
                       1:{'group':{resultant_df.groupby(new_df[0][filter])}}}
                                print (new_df[1][group])



        if __name__ == '__main__':
                sample = sample()
                sample.create_df("/home/purpletalk/GrammarandProductReviews.csv")
                df = sample.get_resultant_df(['brand', 'reviews.id','manufacturer','reviews.title','reviews.username','id','dateAdded','reviews.rating'])
                new_df = sample.process_df(df, ['brand','manufacturer','trail','Windex', 'size', 'equal',8,700,'AMBI'])
                A=new_df
                print A