PYTHON

merge two dataframes based on column

df_outer = pd.merge(df1, df2, on='id', how='outer') #here id is common column

df_outer

pandas combine two data frames with same index and same columns

pd.merge(df1, df2, left_index=True, right_index=True, how='outer')

merge two dataframes with common columns

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

merge three dataframes pandas based on column

# Merging 3 or more dataframes base on a common column
import pandas as pd
from functools import reduce

#Create a list of df to combine
list_of_df = [df_1,df_2,df_3]

#merge them together
df_combined = reduce(lambda left,right: pd.merge(left,right,on='common column'), list_of_df)

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)

merge two dataframes based on column

df_merge_col = pd.merge(df_row, df3, on='id')

df_merge_col

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')