Usage of sort sorting function: 1. Sort the list. By default, the sort function sorts in ascending order, so the final output results are arranged in order from small to large; 2. Sort the tuples Sorting. By default, the sort function sorts by the size of the elements, so the final output results are arranged in order from small to large; 3. Sort the dictionary. Since the dictionary is unordered, the sorted results are still It is the original dictionary, using a lambda expression as the value of the key parameter to specify the basis for sorting.
The sort function is a built-in sorting function in Python that can sort lists (lists) or other iterable objects. Its basic syntax is as follows:
sort(key=None, reverse=False)
Among them, the key parameter is an optional parameter, used to specify the basis for sorting, usually used to sort tuples or dictionaries; the reverse parameter is also an optional parameter, used Specifies the sorting order. If it is True, it will be sorted in descending order. If it is False, it will be sorted in ascending order.
Here are some examples of using the sort function:
Sort the list:
my_list = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5] my_list.sort() print(my_list) # 输出 [1, 1, 2, 3, 3, 4, 5, 5, 5, 6, 9]
In the above example, we define a list my_list and then use the sort function Sort it. By default, the sort function sorts in ascending order, so the final output results are arranged in ascending order.
Sort tuples:
my_tuple = (3, 'apple', 2, 'banana', 1, 'orange') my_tuple.sort() print(my_tuple) # 输出 (1, 'orange', 2, 'banana', 3, 'apple')
In the above example, we defined a tuple my_tuple and then sorted it using the sort function. By default, the sort function sorts elements by size, so the final output results are arranged in ascending order.
Sort the dictionary:
my_dict = {'a': 3, 'b': 2, 'c': 1} my_dict.sort(key=lambda x: my_dict[x]) print(my_dict) # 输出 {'a': 3, 'b': 2, 'c': 1}
In the above example, we defined a dictionary my_dict and then sorted it using the sort function. Since the dictionary is unordered, the sorted result is still the original dictionary. A lambda expression is used here as the value of the key parameter to specify the basis for sorting. In this example, we sort by the value corresponding to each key in the dictionary.
Sort strings:
my_string = 'Hello World' sorted_string = sorted(my_string) print(sorted_string) # 输出 [' ', 'H', 'W', 'd', 'e', 'l', 'l', 'o']
In the above example, we defined a string my_string and then sorted it using the sorted function. The sorted function returns a new list containing the characters in the string in ascending order.
It should be noted that when using the sort or sorted function, if you want to sort in descending order, you can set the reverse parameter to True. For example:
my_list = [3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5] my_list.sort(reverse=True) print(my_list) # 输出 [9, 6, 5, 5, 5, 4, 3, 3, 2, 1, 1]
The above is the detailed content of How to use sort sorting function. For more information, please follow other related articles on the PHP Chinese website!

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

Error loading Pickle file in Python 3.6 environment: ModuleNotFoundError:Nomodulenamed...


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

SublimeText3 Chinese version
Chinese version, very easy to use

WebStorm Mac version
Useful JavaScript development tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft