[Python] Using `sort` and `sorted`: Python List Sorting Techniques

In many applications, the need to sort lists is common and vital. In Python, this process is streamlined and efficient. This article delves into sorting lists in Python using different methods.

Sorting Lists Using the sort Method

Using the sort Method without Arguments

The sort method without arguments sorts the list in place in ascending order. This means the original list is changed and no new list is returned. It's a quick and efficient way to order a list of similar data types.

python
numbers = [4, 2, 9, 1, 5, 6]
numbers.sort()
print(numbers)
[1, 2, 4, 5, 6, 9]

Using the sort Method with the reverse Argument

By utilizing the reverse argument with the sort method, the list can be sorted in descending order. This gives you control over the sorting direction and is used directly on the list itself.

python
numbers = [4, 2, 9, 1, 5, 6]
numbers.sort(reverse=True)
print(numbers)
[9, 6, 5, 4, 2, 1]

Sorting Lists Using the sorted Function

The sorted function returns a new sorted list from the elements of any iterable.

Sorting a List of Strings

The sorted function allows for sorting iterables, such as a list of strings. Unlike the sort method, it returns a new sorted list, leaving the original list unchanged. This allows flexibility in maintaining the original order when needed.

python
words = ["apple", "banana", "cherry"]
sorted_words = sorted(words)
print(sorted_words)
['apple', 'banana', 'cherry']

Sorting a List of Tuples

Sorting a list of tuples might require special handling, particularly when you want to sort by a specific element within the tuples. The key argument combined with a lambda function lets you define the exact sorting behavior.

python
tuples = [(1, 2), (3, 1), (5, 0), (4, 4)]
sorted_tuples = sorted(tuples, key=lambda x: x[1])
print(sorted_tuples)
[(5, 0), (3, 1), (1, 2), (4, 4)]

Sorting a List of Dictionaries

Sorting a list of dictionaries requires specifying the key by which the dictionaries should be sorted. Here's an example of sorting a list of dictionaries by the value associated with the "age" key.

python
people = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}, {"name": "Charlie", "age": 35}]
sorted_people = sorted(people, key=lambda x: x["age"])
print(sorted_people)
[{'name': 'Bob', 'age': 25}, {'name': 'Alice', 'age': 30}, {'name': 'Charlie', 'age': 35}]

This code takes a list of dictionaries representing people and sorts them by age. By using the key argument with a lambda function, you can specify that the "age" value in each dictionary should be used as the sorting key.


Sorting lists in Python can be accomplished using the sort method and the sorted function. Whether you need to sort in ascending or descending order, these tools offer a simple and efficient way to achieve the desired results.


FAQs

  1. Which should I use, the sort method or the sorted function? The sort method alters the original list, while the sorted function returns a new sorted list. Use sorted if you want to leave the original list unchanged, and sort if you wish to modify the original list directly.
  2. How can I sort a list of tuples by a specific element within the tuples? You can combine the key argument with a lambda function to sort by a specific element within the tuples. For example, sorted(tuples, key=lambda x: x[1]) will sort the tuples by the second element.
  3. What can I do if the list contains mixed data types? The sort method and sorted function only work on lists with elements of the same data type. If you have mixed data types, you may need to sort by a specific type or write a custom sorting function.
  4. How can I sort a list in descending order? To sort in descending order, you can add the reverse=True argument when using the sort method or sorted function. For example, numbers.sort(reverse=True) will sort the numbers in descending order.
  5. How can I sort a list of dictionaries by a specific key? When sorting a list of dictionaries, you can use the key argument to specify the key by which to sort. For example, the code sorted(people, key=lambda x: x["age"]) will sort the dictionary list by the value associated with the "age" key.
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