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Renaming column names – Python Pandas
We can use the rename() method to rename column names. Let’s say the following is our Pandas DataFrame with 3 columns −
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units": [90, 120, 100, 150, 200, 130]
}
)We will rename two columns i.e. “Car” to “Car Names” and “Reg_Price” to “Registration Cost”:
dataFrame.rename(columns={dataFrame.columns[0]: 'Car Names', dataFrame.columns[1]: 'Registration Cost'})
Example
Following is the code −
import pandas as pd
# Create DataFrame
dataFrame = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units": [90, 120, 100, 150, 200, 130]
}
)
print"DataFrame ...\n",dataFrame
# Renaming columns
res = dataFrame.rename(columns={dataFrame.columns[0]: 'Car Names', dataFrame.columns[1]: 'Registration Cost'})
print"\nUpdated DataFrame with renamed column names...\n",res
Output
This will produce the following output −
DataFrame ... Car Reg_Price Units 0 BMW 7000 90 1 Lexus 1500 120 2 Tesla 5000 100 3 Mustang 8000 150 4 Mercedes 9000 200 5 Jaguar 6000 130 Updated DataFrame with renamed column names... Car Names Registration Cost Units 0 BMW 7000 90 1 Lexus 1500 120 2 Tesla 5000 100 3 Mustang 8000 150 4 Mercedes 9000 200 5 Jaguar 6000 130
Updated on: 20-Sep-2021
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