Select any row from a Dataframe in Pandas | Python

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]]