Performing a Right Join Between Two DataFrames in Pandas

Pandas: Custom Function Exercise-4 with Solution

Write a Pandas program that performs a right join of two DataFrames.

This exercise shows how to perform a right join to include all rows from the right DataFrame and matching rows from the left.

Sample Solution :

Code :

import pandas as pd

# Create two sample DataFrames
df1 = pd.DataFrame({
    'ID': [1, 2, 3],
    'Name': ['Selena', 'Annabel', 'Caeso']
    })

df2 = pd.DataFrame({
    'ID': [2, 3, 4],
    'Age': [25, 30, 22]
})

# Perform a right join on the 'ID' column
right_joined_df = pd.merge(df1, df2, on='ID', how='right')

# Output the result
print(right_joined_df)

Output:

   ID     Name  Age
0   2  Annabel   25
1   3    Caeso   30
2   4      NaN   22               

Explanation:

• Created two DataFrames df1 and df2.
• Used pd.merge() with how='right' to perform a right join.
• The result includes all rows from the right DataFrame and only the matching rows from the left DataFrame.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.