Merge two data frames based on common column values in Pandas

Question

How to get merged data frame from two data frames having common column value such that only those rows make merged data frame having common value in a particular column.

Answer 1

We can merge two Data frames in several ways. Most common way in python is using merge operation in Pandas.

import pandas
dfinal = df1.merge(df2, on="movie_title", how = 'inner')

For merging based on columns of different dataframe, you may specify left and right common column names specially in case of ambiguity of two different names of same column, lets say - 'movie_title' as 'movie_name'.

dfinal = df1.merge(df2, how='inner', left_on='movie_title', right_on='movie_name')

If you want to be even more specific, you may read the documentation of pandas merge operation.