if 14<=int(str(datetime.datetime.now().hour))<=18:try:warnings.simplefilter(action=’ignore’, category=DeprecationWarning)warnings.simplefilter(action=’ignore’, category=FutureWarning)df_new=pd.read_csv(‘AllCarsSorted.csv’,low_memory=False)df=df_newdf = df[df[‘Link’].notna()]m = df[‘Link’].str.contains(‘https’)df = df[m]df[‘Price’] = df[‘Price’].astype(str)df[‘KMs’] = df[‘KMs’].astype(str)df[‘Year’] = df[‘Year’].astype(str)df[‘Price’] = df[‘Price’].str.replace(‘.0’,”)df[‘KMs’] = df[‘KMs’].str.replace(‘.0’,”)df[‘Year’] = df[‘Year’].str.replace(‘.0’,”)df[‘Price’] = df[‘Price’].str.replace(‘,’,”)df[‘KMs’] = df[‘KMs’].str.replace(‘,’,”)df[‘Year’] = df[‘Year’].str.replace(‘,’,”)df=df[df[‘KMs’].map(lambda x: x.isdigit())]df=df[df[‘Year’].map(lambda x: x.isdigit())]df=df[df[‘Price’].map(lambda x: x.isdigit())]df[‘Price’]=df[‘Price’].astype(int)df[‘KMs’]=df[‘KMs’].astype(int)df[‘Year’]=df[‘Year’].astype(int)df[‘Make’] = df[‘Make’].str.strip()df[‘Model’]...
