Merging DataFrames and Renaming Columns in Pandas
Pandas: Custom Function Exercise-18 with Solution
Write a Pandas program to merge DataFrames and rename columns after merge.
This exercise shows how to merge DataFrames and rename specific columns in the resulting DataFrame.
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': [1, 2, 3],
'Salary': [50000, 60000, 70000]
})
# Merge the DataFrames on the 'ID' column
merged_df = pd.merge(df1, df2, on='ID')
# Rename the 'Salary' column to 'Annual_Income'
merged_df.rename(columns={'Salary': 'Annual_Income'}, inplace=True)
# Output the result
print(merged_df)
Output:
ID Name Annual_Income 0 1 Selena 50000 1 2 Annabel 60000 2 3 Caeso 70000
Explanation:
- Created two DataFrames df1 and df2.
- Merged them on the 'ID' column using pd.merge().
- Renamed the 'Salary' column to 'Annual_Income' using rename().
Python-Pandas Code Editor:
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