Change the order of a Pandas DataFrame columns in Python
Let us see how to change the order of a DatFrame’s columns.
Algorithm :
- Create a DatFrame.
- Reassign the same DataFrame with the order of the columns changed.
- Print the DataFame.
Example 1 :
# importing the modules import pandas as pd import numpy as np # creating the DataFrame my_data = {'Sr.no': [1, 2, 3, 4, 5], 'Name': ['Ram', 'Sham', 'Sonu', 'Tinu', 'Monu'], 'Maths Score': [45, 67, 89, 74, 56]} df = pd.DataFrame(data = my_data) # printing the original DataFrame print("My Original DataFrame") print(df) # altering the DataFrame df = df[['Sr.no', 'Maths Score', 'Name']] # printing the altered DataFrame print('After altering Name and Maths Score') print(df) |
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Output:
Example 2 :
# importing the modules import pandas as pd # creating the DataFrame l1 =["Amar", "Barsha", "Carlos", "Tanmay", "Misbah"] l2 =["Alpha", "Bravo", "Charlie", "Tango", "Mike"] l3 =[23, 25, 22, 27, 29] l4 =[69, 54, 73, 70, 74] df = pd.DataFrame(list(zip(l1, l2, l3, l4))) df.columns =['Name', 'Code', 'Age', 'Weight'] # printing the original DataFrame print("My Original DataFrame") print(df) # altering the DataFrame df = df[['Name', 'Code', 'Weight', 'Age']] # printing the altered DataFrame print('After altering Weight and Age') print(df) |
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Output :
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