Articles → Pandas → Merge Function In Dataframe In Pandas

Merge Function In Dataframe In Pandas






Purpose





Example


import numpy as np
import pandas as pd


# Create a dictionary
dict1 = {
        'company':['Google', 'Microsoft', 'Apple', 'Google', 'Microsoft', 'Apple'],
        'year': [2017, 2017, 2017, 2018, 2018, 2018],
        'Profit':[20000,40000,60000,80000,70000,50000]
       }

dict2 = {
        'company':['Disney', 'Walmart', 'AT&T', 'Disney', 'Walmart', 'AT&T'],
        'year': [2017, 2017, 2017, 2018, 2018, 2018],
        'Profit':[10000,20000,30000,40000,50000,60000]
       }



# Create a dataframe
df1 = pd.DataFrame(dict1, index=[0,1,2,3,4,5])
df2 = pd.DataFrame(dict2, index=[6,7,8,9,10,11])

# Concat
pd.merge(df1, df2, how="inner", on = "year")



Output


Picture showing the output of the Merge function in dataframe in pandas
Click to Enlarge


Posted By  -  Karan Gupta
 
Posted On  -  Tuesday, April 30, 2019

Query/Feedback


Your Email Id  
 
Subject 
 
Query/FeedbackCharacters remaining 250