The operation that I want to do is similar to merger. For example, with the inner merger we get a data frame that contains rows that are present in the first AN
Consider Following:
Present in First DataFrame and Not in Second DataFrame
Solution: by Index
df = df_one[~df_one.index.isin(df_two.index)]
index can be replaced by required column upon which you wish to do exclusion. In above example, I've used index as a reference between both Data Frames
Additionally, you can also use a more complex query using boolean pandas.Series to solve for above.