Python – Filter Tuples with Integers

Last Updated : 08 May, 2023

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, )]

Time Complexity: O(n^2), where n is the number of tuples in the list.
Auxiliary Space: O(n), as the filtered list is stored in res_list and its size is proportional to the number of tuples in the list.

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, )]

Time Complexity: O(n*n), where n is the length of the input list.
Auxiliary Space: O(n) additional space of size n is created where n is the number of elements in the list “test_list”.

Method 3: Use the filter() function along with lambda function

Step-by-step approach:

Define a lambda function that takes a tuple as input and returns True if all elements of the tuple are integers, else False.
Use the filter() function to filter the tuples from the given list of tuples that satisfy the condition specified in the lambda function.
Convert the filtered result into a list and store it in a variable.
Print the filtered tuples.

Python3

   # Python3 code to demonstrate working of 
# Filter Tuples with Integers
# Using filter() and lambda function
 
# initializing list
test_list = [(4, 5, "GFg"), (5, 6), (3, ), ("Gfg", )]
 
# printing original list
print("The original list is : " + str(test_list))
 
# lambda function to check if all elements of tuple are integers
is_all_int = lambda tup: all(isinstance(ele, int) for ele in tup)
 
# using filter() to filter tuples with integers
res = list(filter(is_all_int, test_list))
 
# printing results
print("Filtered tuples : " + str(res))
 
  

Output

The original list is : [(4, 5, 'GFg'), (5, 6), (3,), ('Gfg',)] Filtered tuples : [(5, 6), (3,)]

Time complexity: O(n), where n is the number of tuples in the list.
Auxiliary space: O(k), where k is the number of tuples that satisfy the condition specified in the lambda function.

Method 4: Using reduce()

Step-by-step approach:

Import the reduce() function from the functools module.
Define a lambda function that takes two arguments, a tuple and a boolean value, and returns True if all elements of the tuple are integers and the boolean value is True, and False otherwise.
Use the reduce() function to apply the lambda function to each tuple in the test_list and accumulate the results.
Use the filter() function to filter out the tuples that have a True result from the reduce() function.
Return the filtered list.

Python3

   from functools import reduce
 
# initializing list
test_list = [(4, 5, "GFg"), (5, 6), (3, ), ("Gfg", )]
 
# printing original list
print("The original list is : " + str(test_list))
 
# lambda function to check if all elements of tuple are integers
is_all_int = lambda tup, bool_val: bool_val and all(isinstance(ele, int) for ele in tup)
 
# using reduce() and filter() to filter tuples with integers
res = list(filter(lambda x: reduce(is_all_int, (x, True)), test_list))
 
# printing results
print("Filtered tuples : " + str(res))
 
  

Output

The original list is : [(4, 5, 'GFg'), (5, 6), (3,), ('Gfg',)] Filtered tuples : [(5, 6), (3,)]

Time complexity: O(n^2), where n is the length of the input list.
Auxiliary space: O(n), where n is the length of the input list, for the filtered list.

Python | Convert Tuple to integer

manjeet_04

Improve

Article Tags :

Practice Tags :

python

Python – Filter Tuples with Integers

Python3

Python3

Python3

Python3

Similar Reads