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Pandas Example – Write a Pandas program to select columns by data type of a given DataFrame

By on Thursday, April 8, 2021

(Python Example for Beginners)

 

Write a Pandas program to select columns by data type 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)

print("nSelect numerical columns")
print(df.select_dtypes(include = "number"))

print("nSelect string columns")
print(df.select_dtypes(include = "object"))

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

Select numerical columns
    age
0  18.5
1  21.2
2  22.5
3  22.0
4  23.0

Select string columns
             name date_of_birth
0  Alberto Franco    17/05/2002
1    Gino Mcneill    16/02/1999
2     Ryan Parkes    25/09/1998
3    Eesha Hinton    11/05/2002
4    Syed Wharton    15/09/1997

 

Pandas Example – Write a Pandas program to select columns by data type of a given DataFrame

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Two Machine Learning Fields

There are two sides to machine learning:

  • Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
  • Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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