Skip to content
Related Articles

Related Articles

Python – Filter Tuples with Integers
  • Last Updated : 02 Sep, 2020

Given Tuple list, filter tuples which are having just int data type.

Input : [(4, 5, “GFg”), (3, ), (“Gfg”, )]
Output : [(3, )]
Explanation : 1 tuple (3, ) with all integral values.

Input : [(4, 5, “GFg”), (3, “Best” ), (“Gfg”, )]
Output : []
Explanation : No tuple with all integers.

Method #1 : Using loop + isinstance()

In this, we iterate the each tuple and check for data type other than int, using isinstance(), if found tuple is flagged off and omitted.



Python3




# Python3 code to demonstrate working of 
# Filter Tuples with Integers
# Using loop + isinstance()
  
# initializing list
test_list = [(4, 5, "GFg"), (5, 6), (3, ), ("Gfg", )]
  
# printing original list
print("The original list is : " + str(test_list))
  
res_list = []
for sub in test_list:
    res = True 
    for ele in sub:
          
        # checking for non-int.
        if not isinstance(ele, int):
            res = False 
            break
    if res :
        res_list.append(sub)
          
# printing results
print("Filtered tuples : " + str(res_list))
Output
The original list is : [(4, 5, 'GFg'), (5, 6), (3, ), ('Gfg', )]
Filtered tuples : [(5, 6), (3, )]

Method #2 : Using all() + list comprehension + isinstance()

In this, all() is used to check if all elements are integers using isinstance(), if that checks, tuples are added to result.

Python3




# Python3 code to demonstrate working of 
# Filter Tuples with Integers
# Using all() + list comprehension + isinstance()
  
# initializing list
test_list = [(4, 5, "GFg"), (5, 6), (3, ), ("Gfg", )]
  
# printing original list
print("The original list is : " + str(test_list))
  
# list comprehension to encapsulate in 1 liner 
res = [sub for sub in test_list if all(isinstance(ele, int) for ele in sub)]
          
# printing results
print("Filtered tuples : " + str(res))
Output
The original list is : [(4, 5, 'GFg'), (5, 6), (3, ), ('Gfg', )]
Filtered tuples : [(5, 6), (3, )]

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :