To add anew column with constant value, use the square bracket i.e. the index operator and set that value.
At first, import the required library −
import pandas as pd
Creating a DataFrame with 4 columns −
dataFrame = pd.DataFrame({"Car": ['Bentley', 'Lexus', 'BBMW', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 110, 150, 80, 200, 90] })
Adding a new column with a constant value. The new column names is set in the square bracket −
dataFrame['Mileage'] = 15
Example
Following is the complete code −
import pandas as pd # creating dataframe dataFrame = pd.DataFrame({"Car": ['Bentley', 'Lexus', 'BBMW', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 110, 150, 80, 200, 90] }) print"Dataframe...\n",dataFrame # adding new column with a constant value dataFrame['Mileage'] = 15 print"\nUpdated Dataframe with a new column...\n",dataFrame
Output
This will produce the following output −
Dataframe... Car Cubic_Capacity Reg_Price Units_Sold 0 Bentley 2000 7000 100 1 Lexus 1800 1500 110 2 BBMW 1500 5000 150 3 Mustang 2500 8000 80 4 Mercedes 2200 9000 200 5 Jaguar 3000 6000 90 Updated Dataframe with a new column... Car Cubic_Capacity Reg_Price Units_Sold Mileage 0 Bentley 2000 7000 100 15 1 Lexus 1800 1500 110 15 2 BBMW 1500 5000 150 15 3 Mustang 2500 8000 80 15 4 Mercedes 2200 9000 200 15 5 Jaguar 3000 6000 90 15