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The task is to convert a list of tuples into a dictionary where the first element of each tuple serves as the key and the second element becomes the value. If a key appears multiple times in the list, its values should be grouped together in a list.
For example, given the list li = [(1, 'gfg'), (1, 'is'), (2, 'best'), (3, 'for'), (4, 'CS')], the goal is to convert it into a dictionary where each key maps to a list of its corresponding values. The resulting dictionary would look like {1: ['gfg', 'is'], 2: ['best'], 3: ['for'], 4: ['CS']} .
defaultdict from the collections module is a efficient way for converting a list of tuples into a dictionary of lists. It automatically initializes keys with a default value like an empty list when they are accessed for the first time, making it ideal for grouping values without additional key checks.
{1: ['gfg', 'is'], 2: ['best'], 3: ['for'], 4: ['CS']}
Explanation:
j to the list associated with key i in res.Table of Content
groupby() from the itertools module is a powerful function for grouping items in a list of tuples into a dictionary of lists. It requires the input list to be sorted by the key as it groups adjacent elements with the same key and making it effective for structured data processing.
{1: ['gfg', 'is'], 2: ['best'], 3: ['for'], 4: ['CS']}
Explanation:
Dictionary comprehension combined with the filter() function convert a list of tuples into a dictionary of lists. It evaluates each tuple for every unique key and providing a straightforward approach but with less efficiency for larger datasets.
{1: ['gfg', 'is'], 2: ['best'], 3: ['for'], 4: ['CS']}
Explanation:
This method involves manually initializing a dictionary and explicitly checking if a key exists before appending values. While straightforward and easy to understand, it is less efficient than built-in methods due to repeated key existence checks.
{1: ['gfg', 'is'], 2: ['best'], 3: ['for'], 4: ['CS']}
Explanation: