PYTHON

merge two dataframes with common columns

import pandas as pd
pd.merge(df1, df2, on="movie_title")

How to join two dataframes by 2 columns so they have only the common rows?

import pandas as pd 
import numpy as np

df1 = pd.DataFrame({'fruit': ['apple', 'banana', 'orange'] * 3,
                    'weight': ['high', 'medium', 'low'] * 3,
                    'price': np.random.randint(0, 15, 9)})

df2 = pd.DataFrame({'pazham': ['apple', 'orange', 'pine'] * 2,
                    'kilo': ['high', 'low'] * 3,
                    'price': np.random.randint(0, 15, 6)})
out = df1.merge(df2,left_on=('fruit','weight'),right_on=('pazham','kilo'),how='inner',suffixes=('_left','_right')).head(10)

pandas merge two columns from different dataframes

#suppose you have two dataframes df1 and df2, and 
#you need to merge them along the column id
df_merge_col = pd.merge(df1, df2, on='id')

merge two dataframes with common columns

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

Merge two data frames based on common column values in Pandas

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