![]() ![]() Some methods like using a set or dictionary may not maintain the order of elements, while others like using a loop or OrderedDict can preserve the order of elements in the input list. Each technique has its pros and cons, and you can choose the one that best suits your requirements. In this tutorial, we learned about different techniques to remove duplicates from a list in Python. Finally, we convert the keys of the OrderedDict to a list using the list() function. This removes duplicates while maintaining the order of elements. Then, we create an OrderedDict from the input list using the fromkeys() method. In this example, we import the OrderedDict class from the collections module. Here is an example: from collections import OrderedDict We can use an OrderedDict to remove duplicates from a list while preserving the order of elements. It is a part of the collections module in Python. Technique 5: Using a Collection's OrderedDictĪn OrderedDict is a dictionary that maintains the order of the keys. Then, we convert the keys of the dictionary to a list using the list() function and the keys() method. Since dictionaries do not allow duplicate keys, this removes duplicates from the input list. In this example, we use a dictionary comprehension to create a new dictionary called unique_dict with the items from the input list as keys and None as the value for each key. We can use the properties of a dictionary to remove duplicates from a list. Dictionaries are unordered, mutable, and do not allow duplicate keys. A dictionary is a built-in data structure in Python that can store a collection of key-value pairs. Technique 4: Using a DictionaryĪnother way to remove duplicates from a list is by using a dictionary. Keep in mind that this method does not maintain the order of elements in the input list. Then, we convert the set back to a list using the list() function. This removes duplicates since sets can only have unique elements. In this example, we convert the input list to a set using the set() function. We can utilize the properties of a set to remove duplicates from a list easily. Sets are unordered, mutable, and do not allow duplicate elements. Technique 3: Using a SetĪ set is another built-in data structure in Python that can hold a collection of unique items. If it is not present, we add the item to the unique_list. ![]() We then check if the item is not present in the slice of the input list before the current index. ![]() The enumerate function is used to get both the index i and the item from the input list. In this example, we use list comprehension to create a new list called unique_list that contains only unique items from the input list. In this technique, we will use list comprehension to remove duplicates from a list. It is an elegant and efficient way to write a single line of code that can perform a specific task. List comprehension is a concise way to create lists in Python. If it is not present, it adds the item to the unique_list. The function iterates through each item in the input list and checks if it is not present in the unique_list. In this example, we define a function called remove_duplicates that takes a list as input and returns a new list with duplicates removed. Here is an example: def remove_duplicates(input_list): ![]() If it is not present, then add it to the new list. The idea is to iterate through each element of the list and check if it is already present in the new list. One of the simplest ways to remove duplicates from a list is by using a loop and an empty list. Technique 1: Using a Loop and an Empty List Now that we know what a list is let's see how we can remove duplicate items from a list. Here is an example of a list containing different types of data: my_list = ] Lists are ordered, mutable, and can have duplicate elements. These items can be of different data types like integers, strings, or even other lists. In Python, a list is a built-in data structure that can hold a collection of items. Understanding Lists in Pythonīefore diving into the details of removing duplicates from a list, let's first understand what a list is. No worries if you are not familiar with some terms, we will explain them as we go along. In this tutorial, we will explore different techniques to remove duplicates from a list in Python. As a beginner programmer, you might come across situations where you have to deal with duplicate items in a list. ![]()
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