Lecture 84:-  Count Distinct Elements in A List In Python

To count the distinct elements in a list in Python, you can use the built-in set() function. The set() function creates a set, which is an unordered collection of unique elements. Since sets automatically remove duplicates, you can simply convert the list to a set, and then find the length of the set to get the count of distinct elements.

Here's how you can count the distinct elements in a list:

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numbers = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4] # Convert the list to a set to remove duplicates distinct_elements = set(numbers) # Count the distinct elements count = len(distinct_elements) print(count)  # Output: 4

In this example, the numbers list contains duplicate elements. By converting it to a set using set(numbers), we obtain a set with only the distinct elements. The len() function is then used to find the count of distinct elements in the set, which is 4 in this case.

Using sets is an efficient way to remove duplicates and count distinct elements from a list, especially when dealing with large datasets. Keep in mind that the order of elements in the set is not preserved, as sets are unordered collections. If you need to maintain the original order, you may want to use other techniques like list comprehensions or loops to count distinct elements.