Python - Reverse the column order of the Pandas DataFrame

To reverse the column order, use the dataframe.columns and set as -1 −

dataFrame[dataFrame.columns[::-1]

At first, import the required library −

import pandas as pd

Create a DataFrame with 4 columns −

dataFrame = pd.DataFrame({"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 120, 150, 110, 200, 250]
})

Reverse the column order −

df = dataFrame[dataFrame.columns[::-1]]

Example

Following is the code −

import pandas as pd

# creating dataframe
dataFrame = pd.DataFrame({"Car": ['BMW', 'Lexus', 'Tesla', 'Mustang', 'Mercedes', 'Jaguar'],"Cubic_Capacity": [2000, 1800, 1500, 2500, 2200, 3000],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000],"Units_Sold": [ 100, 120, 150, 110, 200, 250]
})

print"DataFrame ...\n",dataFrame

# reversing the dataframe columns
df = dataFrame[dataFrame.columns[::-1]]
print"\nReversed DataFrame....\n", df

Output

This will produce the following output −

DataFrame ...
        Car   Cubic_Capacity   Reg_Price   Units_Sold
0       BMW             2000        7000          100
1     Lexus             1800        1500          120
2     Tesla             1500        5000          150
3   Mustang             2500        8000          110
4  Mercedes             2200        9000          200
5    Jaguar             3000        6000          250

Reversed DataFrame....
   Units_Sold   Reg_Price   Cubic_Capacity       Car
0         100        7000             2000       BMW
1         120        1500             1800     Lexus
2         150        5000             1500     Tesla
3         110        8000             2500   Mustang
4         200        9000             2200  Mercedes
5         250        6000             3000    Jaguar

AmitDiwan

e

Updated on: 20-Sep-2021

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