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Python - Rename column names by index in a Pandas DataFrame without using rename()
We can easily rename a column by index i.e. without using rename(). Import the required library −
import pandas as pd
Create a 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]
}
)Let us now rename all the columns using columns.values[0[ by setting the index of the column to be changed in the square brackets −
dataFrame.columns.values[0] = "Car Names" dataFrame.columns.values[1] = "Registration Cost" dataFrame.columns.values[2] = "Units_Sold"
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 name
dataFrame.columns.values[0] = "Car Names"
dataFrame.columns.values[1] = "Registration Cost"
dataFrame.columns.values[2] = "Units_Sold"
print"\nUpdated DataFrame with new column names...\n",dataFrameOutput
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 new column names... Car Names Registration Cost Units_Sold 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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