w3resource

Pandas: Select columns by data type of a given DataFrame


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

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to reverse order (rows, columns) of a given DataFrame.
Next: Write a Pandas program to split a given DataFrame into two random subsets.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Follow us on Facebook and Twitter for latest update.