Access multiple items with not equal to, !=

I like using the query method as it's a bit more clear

df = df.query("Train not in ['DeutscheBahn', 'British Rails', 'SNCF']")

df[~df['Train'].isin(['DeutscheBahn', 'SNCF'])]

isin returns the values in df['Train'] that are in the given list, and the ~ at the beginning is essentially a not operator.

Another working but longer syntax would be:

df[(df['Train'] != 'DeutscheBahn') & (df['Train'] != 'SNCF')]