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Pandas Example – Write a Pandas program to rename all columns with the same pattern of a given DataFrame

By on Thursday, April 8, 2021

(Python Example for Beginners)

 

Write a Pandas program to rename all columns with the same pattern of a given DataFrame.

 

Sample Solution :

Python Code :


import pandas as pd

df = pd.DataFrame({
    'Name': ['Alberto Franco','Gino Mcneill','Ryan Parkes', 'Eesha Hinton', 'Syed Wharton'],
    'Date_Of_Birth ': ['17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],
    'Age': [18.5, 21.2, 22.5, 22, 23]
})

print("Original DataFrame")
print(df)

df.columns = df.columns.str.lower().str.rstrip()

print("nRemove trailing (at the end) whitesapce and convert to lowercase of the columns name")
print(df.head())

Sample Output:

Original DataFrame
             Name Date_Of_Birth    Age
0  Alberto Franco     17/05/2002  18.5
1    Gino Mcneill     16/02/1999  21.2
2     Ryan Parkes     25/09/1998  22.5
3    Eesha Hinton     11/05/2002  22.0
4    Syed Wharton     15/09/1997  23.0

Remove trailing (at the end) whitesapce and convert to lowercase of the columns name
             name date_of_birth   age
0  Alberto Franco    17/05/2002  18.5
1    Gino Mcneill    16/02/1999  21.2
2     Ryan Parkes    25/09/1998  22.5
3    Eesha Hinton    11/05/2002  22.0
4    Syed Wharton    15/09/1997  23.0

 

Pandas Example – Write a Pandas program to rename all columns with the same pattern of a given DataFrame

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Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.
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