Given a dictionary, the task is to write a python program to shuffle its values to different keys.
Examples:
Input: test_dict = {“gfg” : 1, “is” : 7, “best” : 8, “for” : 3, “Lazyroar” : 9}
Output : {“gfg” : 9, “is” : 8, “best” : 7, “for” : 3, “Lazyroar” : 1}
Explanation : Keys are at same position but values are shuffled.Input : test_dict = {“gfg” : 7, “is” : 1, “best” : 8, “for” : 3, “Lazyroar” : 9}
Output : {“gfg” : 9, “is” : 8, “best” : 7, “for” : 3, “Lazyroar” : 1}
Explanation : Keys are at same position but values are shuffled.
Method #1 : Using shuffle() + zip() + dict()
In this, we perform the task of shuffling elements using shuffle(), and zip() is used to map the shuffled values to keys. In the end, dict() is used to convert the result to a dictionary.
Python3
# Python3 code to demonstrate working of# Shuffle dictionary Values# Using shuffle() + zip() + dict()import random# initializing dictionarytest_dict = {"gfg": 1, "is": 7, "best": 8, "for": 3, "Lazyroar": 9}# printing original dictionaryprint("The original dictionary is : " + str(test_dict))# shuffling valuestemp = list(test_dict.values())random.shuffle(temp)# reassigning to keysres = dict(zip(test_dict, temp))# printing resultprint("The shuffled dictionary : " + str(res)) |
Output:
The original dictionary is : {‘gfg’: 1, ‘is’: 7, ‘best’: 8, ‘for’: 3, ‘Lazyroar’: 9}
The shuffled dictionary : {‘gfg’: 1, ‘is’: 7, ‘best’: 3, ‘for’: 9, ‘Lazyroar’: 8}
Time Complexity: O(n)
Auxiliary Space: O(n)
Method #2 : Using sample() + zip()
In this, the task of shuffling values is done using sample() of random library.
Python3
# Python3 code to demonstrate working of# Shuffle dictionary Values# Using sample() + zip()from random import sample# initializing dictionarytest_dict = {"gfg": 1, "is": 7, "best": 8, "for": 3, "Lazyroar": 9}# printing original dictionaryprint("The original dictionary is : " + str(test_dict))# reassigning to keysres = dict(zip(test_dict, sample(list(test_dict.values()), len(test_dict))))# printing resultprint("The shuffled dictionary : " + str(res)) |
Output:
The original dictionary is : {‘gfg’: 1, ‘is’: 7, ‘best’: 8, ‘for’: 3, ‘Lazyroar’: 9}
The shuffled dictionary : {‘gfg’: 8, ‘is’: 9, ‘best’: 1, ‘for’: 3, ‘Lazyroar’: 7}
Method 3: use a list comprehension and the random.sample() method.
Step-by-step approach
- Import the random module.
- Initialize the dictionary to be shuffled.
- Create a list of the values of the dictionary using the values() method.
- Use list comprehension to generate a new list of shuffled values using the random.sample() method and the length of the dictionary.
- Use the zip() method to pair the shuffled list with the keys of the dictionary.
- Create a new dictionary with the shuffled pairs using the dict() method.
- Print the original dictionary and the shuffled dictionary.
Python3
import random# initializing dictionarytest_dict = {"gfg": 1, "is": 7, "best": 8, "for": 3, "Lazyroar": 9}# printing original dictionaryprint("The original dictionary is : " + str(test_dict))# shuffling valuesvalues_list = list(test_dict.values())shuffled_values = random.sample(values_list, len(values_list))shuffled_dict = dict(zip(test_dict.keys(), shuffled_values))# printing shuffled dictionaryprint("The shuffled dictionary : " + str(shuffled_dict)) |
The original dictionary is : {'gfg': 1, 'is': 7, 'best': 8, 'for': 3, 'Lazyroar': 9}
The shuffled dictionary : {'gfg': 9, 'is': 3, 'best': 7, 'for': 8, 'Lazyroar': 1}
Time complexity: O(nlogn) for the random.sample() method which internally uses a Fisher-Yates shuffle algorithm.
Auxiliary space: O(n) for the list of values and the list of shuffled values
