Python: Symmetric difference between two lists, after applying the provided function to each list element of both
Python List: Exercise - 227 with Solution
Write a Python program to get the symmetric difference between two lists, after applying the provided function to each list element of both.
- Create a set by applying fn to each element in every list.
- Use a list comprehension in combination with fn on each of them to only keep values not contained in the previously created set of the other.
Sample Solution:
Python Code:
# Define a function 'symmetric_difference_by' that takes two lists 'a' and 'b' and a function 'fn' as input.
def symmetric_difference_by(a, b, fn):
# Create sets '_a' and '_b' containing the results of applying the 'fn' function to each element in 'a' and 'b'.
(_a, _b) = (set(map(fn, a)), set(map(fn, b)))
# Find the elements in 'a' that are not in '_b' and the elements in 'b' that are not in '_a'.
# Combine these two sets and return the result as a list.
return [item for item in a if fn(item) not in _b] + [item for item in b if fn(item) not in _a]
# Import the 'floor' function from the 'math' module.
from math import floor
# Display the result of applying 'symmetric_difference_by' to two example lists using the 'floor' function.
print(symmetric_difference_by([2.1, 1.2], [2.3, 3.4], floor))
Sample Output:
[1.2, 3.4]
Flowchart:
Python Code Editor:
Previous: Write a Python program to get a list of elements that exist in both lists, after applying the provided function to each list element of both.
Next: Write a Python program to get every element that exists in any of the two given lists once, after applying the provided function to each element of both.
What is the difficulty level of this exercise?
Test your Programming skills with w3resource's quiz.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://198.211.115.131/python-exercises/list/python-data-type-list-exercise-227.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics