Pandas compare two dataframes and remove what matches in one column

Question

I have two separate pandas dataframes (df1 and df2) which have multiple columns, but only one in common (\'text\').

I would like to do fin

Answer 1

You can merge them and keep only the lines that have a NaN.

df2[pd.merge(df1, df2, how='outer').isnull().any(axis=1)]

or you can use isin:

df2[~df2.text.isin(df1.text)]