Select any row from a Dataframe using iloc[] and iat[] in Pandas

In this article, we will learn how to get the rows from a dataframe as a list, using the functions ilic[] and iat[]. There are multiple ways to do get the rows as a list from given dataframe. Let’s see them will the help of examples. 

Python

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]})

# Create an empty list
Row_list =[]

# Iterate over each row
for i in range((df.shape[0])):

    # Using iloc to access the values of
    # the current row denoted by "i"
    Row_list.append(list(df.iloc[i, :]))

# Print the first 3 elements
print(Row_list[:3])

Output: 

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

Using iat[] method – 

Python3

# 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]})

# Create an empty list
Row_list =[]

# Iterate over each row
for i in range((df.shape[0])):
    # Create a list to store the data
    # of the current row
    cur_row =[]

    # iterate over all the columns
    for j in range(df.shape[1]):

        # append the data of each
        # column to the list
        cur_row.append(df.iat[i, j])

    # append the current row to the list
    Row_list.append(cur_row)

# Print the first 3 elements
print(Row_list[:3])

Output: 

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