Python Pandas program to select columns by the object datatype from the DataFrame

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In this python pandas program, we will select columns by the object datatype from the  DataFrame using the pandas library.

Steps to solve the program
  1. Import pandas library as pd.
  2. Create a dataframe using pd.DataFrame().
  3. Select columns by the object datatype from the DataFrame using.select_dtypes(include = “object”).
  4. Print the output.
				
					import pandas as pd
import numpy as np
d = {'Sr.no.':[1,2,3,4],'Name':['Alex','John','Peter','Klaus'],'Age':[30,27,29,33],'Salary':[50000,65000,58000,66000]}
df = pd.DataFrame(d)
print(df)
print("Select string columns")
print(df.select_dtypes(include = "object"))

Output :

				
					0   Sr.no.   Name  Age  Salary
0       1   Alex   30   50000
1       2   John   27   65000
2       3  Peter   29   58000
3       4  Klaus   33   66000
Select string columns
    Name
0   Alex
1   John
2  Peter
3  Klaus
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reverse the order of columns in a DataFrame

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