Sometimes, while working with Python dictionaries, we can have a problem in which we need to remove all the duplicate values across all the dictionary value lists. This problem can have application in data domains and web development domains. Let’s discuss certain ways in which this task can be performed.
Input : test_dict = {‘Manjeet’: [1], ‘Akash’: [1, 8, 9]}
Output : {‘Manjeet’: [], ‘Akash’: [8, 9]}Input : test_dict = {‘Manjeet’: [1, 1, 1], ‘Akash’: [1, 1, 1]}
Output : {‘Manjeet’: [], ‘Akash’: []}
Method #1 : Using Counter() + list comprehension
The combination of above functions can be used to solve this problem. In this, we use Counter() to extract all frequencies and list comprehension to assign the value with single occurrence in value list.
# Python3 code to demonstrate working of # Remove duplicate values across Dictionary Values # Using Counter() + list comprehension from collections import Counter # initializing dictionary test_dict = {'Manjeet' : [1, 4, 5, 6], 'Akash' : [1, 8, 9], 'Nikhil': [10, 22, 4], 'Akshat': [5, 11, 22]} # printing original dictionary print("The original dictionary : " + str(test_dict)) # Remove duplicate values across Dictionary Values # Using Counter() + list comprehension cnt = Counter() for idx in test_dict.values(): cnt.update(idx) res = {idx: [key for key in j if cnt[key] == 1] for idx, j in test_dict.items()} # printing result print("Uncommon elements records : " + str(res)) |
The original dictionary : {‘Akshat’: [5, 11, 22], ‘Nikhil’: [10, 22, 4], ‘Manjeet’: [1, 4, 5, 6], ‘Akash’: [1, 8, 9]}
Uncommon elements records : {‘Akshat’: [11], ‘Nikhil’: [10], ‘Manjeet’: [6], ‘Akash’: [8, 9]}
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