Now days, data is something that is backbone of any Machine Learning technique. The data can come in any form and its sometimes required to be extracted out to be processed. This article deals with the issue of extracting information which is present in tuples in list. Let’s discuss certain ways in which this can be performed.

Method #1 : Using join() + list comprehension

The join function can be used to join each tuple elements with each other and list comprehension handles the task of iterating through the tuples.

# Python3 code to demonstrate
# joining tuple elements
# using join() + list comprehension

# initializing tuple list
test_list = [('geeks', 'for', 'geeks'),
			('computer', 'science', 'portal')]

# printing original list
print ("The original list is : " + str(test_list))

# using join() + list comprehension
# joining tuple elements
res = [' '.join(tups) for tups in test_list]

# printing result
print ("The joined data is : " + str(res))

Output:

The original list is : [(‘geeks’, ‘for’, ‘geeks’), (‘computer’, ‘science’, ‘portal’)]
The joined data is : [‘geeks for geeks’, ‘computer science portal’]

Method #2 : Using map() + join()

The functionality of list comprehension in the above method can also be done using the map function. This reduces the size of the code increasing its readability.

# Python3 code to demonstrate
# joining tuple elements
# using join() + map()

# initializing tuple list
test_list = [('geeks', 'for', 'geeks'),
			('computer', 'science', 'portal')]

# printing original list
print ("The original list is : " + str(test_list))

# using join() + map()
# joining tuple elements
res = list(map(" ".join, test_list))

# printing result
print ("The joined data is : " + str(res))

Output:

The original list is : [(‘geeks’, ‘for’, ‘geeks’), (‘computer’, ‘science’, ‘portal’)]
The joined data is : [‘geeks for geeks’, ‘computer science portal’]