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Select any row from a Dataframe in Pandas | Python

  • Last Updated : 24 Oct, 2019

In this article, we will learn how to get the rows from a dataframe as a list, without using the functions like ilic[]. There are multiple ways to do get the rows as a list from given dataframe. Let’s see them will the help of examples.




# importing pandas as pd 
import pandas as pd 
    
# Create the dataframe 
df = pd.DataFrame({'Date':['10/2/2011', '11/2/2011', '12/2/2011', '13/2/11'], 
                    'Event':['Music', 'Poetry', 'Theatre', 'Comedy'], 
                    'Cost':[10000, 5000, 15000, 2000]}) 
  
  
# using interrors() method
  
# Create an empty list 
Row_list =[] 
    
# Iterate over each row 
for index, rows in df.iterrows(): 
  
    # Create list for the current row 
    my_list =[rows.Date, rows.Event, rows.Cost] 
        
    # append the list to the final list 
    Row_list.append(my_list) 
    
# Print the list 
print(Row_list) 

Output:

[['10/2/2011', 'Music', 10000], ['11/2/2011', 'Poetry', 5000], 
      ['12/2/2011', 'Theatre', 15000], ['13/2/11', 'Comedy', 2000]]




    
# Print the first 2 elements 
print(Row_list[:2]) 

Output:

[['10/2/2011', 'Music', 10000], ['11/2/2011', 'Poetry', 5000]]

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