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# Python program to group keys with similar values in a dictionary

• Last Updated : 20 Feb, 2023

Given a dictionary with values as a list. Group all the keys together with similar values.

Input : test_dict = {“Gfg”: [5, 6], “is”: [8, 6, 9], “best”: [10, 9], “for”: [5, 2], “geeks”: }
Output : [[‘Gfg’, ‘is’, ‘for’], [‘is’, ‘Gfg’, ‘best’], [‘best’, ‘is’], [‘for’, ‘Gfg’]]
Explanation : Gfg has 6, is has 6, and for has 5 which is also in Gfg hence, grouped.

Input : test_dict = {“Gfg”: , “is”: [8, 6, 9], “best”: [10, 9], “for”: [5, 2]}
Output : [[‘Gfg’, ‘is’], [‘is’, ‘Gfg’, ‘best’], [‘best’, ‘is’]]
Explanation : Gfg has 6, is has 6, hence grouped.

Method : Using loop + any() + len()

The combination of the above functions can be used to solve this problem. In this, we check for each key if it matches any value using any(), len() is used to check if the matching keys exceed 1. The iteration part is carried using a loop.

## Python3

 `# Python3 code to demonstrate working of``# Group keys with similar values in Dictionary``# Using loop + any() + len()` `# initializing dictionary``test_dict ``=` `{``"Gfg"``: [``5``, ``6``], ``"is"``: [``8``, ``6``, ``9``],``             ``"best"``: [``10``, ``9``], ``"for"``: [``5``, ``2``],``             ``"geeks"``: [``19``]}` `# printing original dictionary``print``(``"The original dictionary is : "` `+` `str``(test_dict))` `res ``=` `[]``for` `key ``in` `test_dict:``    ``chr` `=` `[key]``    ``for` `ele ``in` `test_dict:``        ` `        ``# check with other keys``        ``if` `key !``=` `ele:``            ` `            ``# checking for any match in values``            ``if` `any``(i ``=``=` `j ``for` `i ``in` `test_dict[key] ``for` `j ``in` `test_dict[ele]):``                ``chr``.append(ele)``    ``if` `len``(``chr``) > ``1``:``        ``res.append(``chr``)` `# printing result``print``(``"The dictionary after values replacement : "` `+` `str``(res))`

Output:

The original dictionary is : {‘Gfg’: [5, 6], ‘is’: [8, 6, 9], ‘best’: [10, 9], ‘for’: [5, 2], ‘geeks’: }

The dictionary after values replacement : [[‘Gfg’, ‘is’, ‘for’], [‘is’, ‘Gfg’, ‘best’], [‘best’, ‘is’], [‘for’, ‘Gfg’]]

Time Complexity: O(n*n)
Auxiliary Space: O(n)

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