Loop or Iterate over all or certain columns of a dataframe in Python-pandas 遍历pandas dataframe的所有列

In this article, we will discuss how to loop or Iterate overall or certain columns of a DataFrame? There are various methods to achieve this task.
Let’s first create a Dataframe and see that : 
Code : 
 

• Python3

 

 

# import pandas package

import pandas as pd

 

# List of Tuples

students = [('Ankit', 22, 'A'),

           ('Swapnil', 22, 'B'),

           ('Priya', 22, 'B'),

           ('Shivangi', 22, 'B'),

            ]

# Create a DataFrame object

stu_df = pd.DataFrame(students, columns =['Name', 'Age', 'Section'],

                      index =['1', '2', '3', '4'])

 

stu_df

 

Output :
 

 

Method #2: Using [ ] operator : 
We can iterate over column names and select our desired column. 
Code : 
 

• Python3

 

import pandas as pd

 

 

# List of Tuples

students = [('Ankit', 22, 'A'),

           ('Swapnil', 22, 'B'),

           ('Priya', 22, 'B'),

           ('Shivangi', 22, 'B'),

            ]

 

# Create a DataFrame object

stu_df = pd.DataFrame(students, columns =['Name', 'Age', 'Section'],

                      index =['1', '2', '3', '4'])

 

# Iterate over column names

for column in stu_df:

     

    # Select column contents by column

    # name using [] operator

    columnSeriesObj = stu_df[column]

    print('Column Name : ', column)

    print('Column Contents : ', columnSeriesObj.values)

Output: