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Python – Remove Elements in K distance with N

  • Last Updated : 11 Oct, 2020

Given a list, remove all elements which are within K distance with N.

Input : test_list = [4, 5, 9, 1, 10, 6, 13 ], K = 3, N = 5 
Output : [9, 1, 10, 13] 
Explanation : 4 is removed as 5 – 4 = 1 < 3, hence its within distance.

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Input : test_list = [1, 10, 6, 13 ], K = 3, N = 5 
Output : [1, 10, 13] 
Explanation : 4 is removed as 5 – 4 = 1 < 3, hence its within distance.



Method #1 : Using list comprehension

In this, we extract only those elements which are at safe distance by magnitude K to N using comparisons using list comprehension.

Python3




# Python3 code to demonstrate working of 
# Remove Elements in K distance with N
# Using list comprehension
  
# initializing list
test_list = [4, 5, 9, 1, 10, 6, 13 ]
  
# printing original list
print("The original list is : " + str(test_list))
  
# initializing K 
K = 3
  
# initializing N 
N = 5
  
# checking for elements in safe zone with respect to N
res = [ele for ele in test_list if ele < N - K or ele > N + K]
  
# printing result 
print("Filtered elements : " + str(res))
Output
The original list is : [4, 5, 9, 1, 10, 6, 13]
Filtered elements : [9, 1, 10, 13]

Method #2 : Using filter() + lambda

In this, task of filtering is done using filter() and lambda function.

Python3




# Python3 code to demonstrate working of 
# Remove Elements in K distance with N
# Using filter() + lambda
  
# initializing list
test_list = [4, 5, 9, 1, 10, 6, 13 ]
  
# printing original list
print("The original list is : " + str(test_list))
  
# initializing K 
K = 3
  
# initializing N 
N = 5
  
# checking for elements in safe zone with respect to N
res = list(filter(lambda ele : ele < N - K or ele > N + K, test_list))
  
# printing result 
print("Filtered elements : " + str(res))
Output
The original list is : [4, 5, 9, 1, 10, 6, 13]
Filtered elements : [9, 1, 10, 13]



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