Note. To link to the CSV file used in the code, click here .
Solution # 1: To access the data of each row of DataFrame.iloc Pandas data, we can use the DataFrame attribute .iloc and then add the data of each row to the end of the list.
| # import pandas as pd import pandas as pd
# Create data frame df = pd.DataFrame ({ ’Date’ : [ ’10/2 / 2011’ , ’11/2 / 2011’ , ’ 12/2 / 2011’ , ’13/2 / 11’ ], ’Event’ : [ ’Music’ , ’ Poetry’ , ’Theater’ , ’ Comedy’ ], ’Cost’ : [ 10000 , 5000 , 15000 , 2000 ]})
# Raspe chat dataframe print (df) |
Output:
We will now use the DataFrame.iloc attribute to access the values of each row in the data frame, and then DataFrame.iloc a list from it.
| # Create empty list Row_list = []
# Iterate over each line for i in range ((df.shape [ 0 ])): # Using iloc to access values # current line denoted by & quot; i & quot; Row_list.append ( list (df.iloc [i,:]))
# Print list print (Row_list) |
Output:
As we can see in the output, we have successfully extracted each row of the given dataframe into a list. Like any other Python list, we can perform any operation on the list of the retrieved list.
| # Find the length again
# list created print ( len (Row_list))
# Print first 3 items print (Row_list [: 3 ]) |
Output:
Solution # 2. To access your data every DataFrame.iat row of Pandas data, we can use the DataFrame.iat attribute and then add each row’s data to the end of the list.
| # import pandas as pd import pandas as pd
# Create data frame df = pd.DataFrame ({ ’ Date’ : [ ’10/2 / 2011’ , ’11/2 / 2011’ , ’ 12/2 / 2011’ , ’13/2 / 11’ ], ’Event’ : [ ’ Music’ , ’ Poetry’ , ’Theater’ , ’Comedy’ ], ’Cost’ : [ 10000 , 5000 , 15000 , 2000 ]})
# Create empty list Row_list = []
# Iterate over each line for i in range ((df.shape [ 0 ])): # Create a list to store data Current line no. cur_row = [] # iterate over all columns for j in range (df.shape [ 1 ]): # add each data # column to list cur_row.append (df.iat [i, j]) # add current line to list Row_list.append (cur_row)
# Print list print (Row_list) |
Output:
| # Find the length again
# list created print ( len (Row_list))
# Print first 3 items print (Row_list [: 3 ]) |
Output:
Create a List of Strings in a Pandas DataFrame | Set 2 File handling: Questions
Create a List of Strings in a Pandas DataFrame | Set 2 Python functions: Questions
