import pandas as pd
hair_dryer = pd.read_csv('C:\\Users\\gys20\\Desktop\\hair_dryer.csv')
microwave=pd.read_csv('C:\\Users\\gys20\\Desktop\\microwave.csv')
pacifier=pd.read_csv('C:\\Users\\gys20\\Desktop\\pacifier.csv')
def washer(dataset):
new_dataset = dataset.drop (['marketplace ', 'product_category'], axis =1)
new_dataset .loc[ new_dataset ['vine '] == 'n', 'vine '] = 'N'
new_dataset .loc[ new_dataset ['vine '] == 'y', 'vine '] = 'Y'
new_dataset .loc[ new_dataset ['verified_purchase '] == 'n', 'verified_purchase '] = 'N'
new_dataset .loc[ new_dataset ['verified_purchase '] == 'y', 'verified_purchase '] = 'Y'
transfer = [('', '\'''), ('', '\''), ('', '"'), ('', '"'), ('', ','), ('', '.'), ('', '!'), ('', '...'), ('', '-'), ('', '-')]
accept = '[^a-zA -Z0 -9_ !? ,.\ '" '+ -=;() \[\] < >*#~&$^@%/|\\\\]'