excluding rows from a pandas dataframe based on column value and not index value

Question

I looked at the unique values in a column of a dataframe - pandas that I have. And there are some names in one of the columns that I do not want to include, how do I remove those rows from the dataframe, without using index value notation, but by saying if row value = "this" then remove

like...

new = df.copy

df['some column'].drop_values('this','that','other')

Answer 1

See indexing with isin (also, boolean indexing):

mask = df['some column'].isin(['this', 'that', 'other'])
df[~mask]