One of the commonly used methods in Python dictionary
Dictionary is a commonly used data structure provided by Python, which is used to store data with mapping relationships. It is a mutable container model and can store any type of object. A dictionary is an unordered, mutable, and indexed collection. In Python, a dictionary is written with curly braces {} and consists of key-value pairs, namely key and value. Each key-value pair in the dictionary is separated by colon : and each key-value pair is separated by comma , . The keys in the dictionary are unique. If the key is repeated, the value corresponding to the subsequent key will replace the value corresponding to the previous key. The value can be any data type, but the key must be immutable, such as string, number or Tuples can be used as dictionary keys, but lists cannot be used as key values. eg:
dict1 = {"name":"张三","age":18,"地址":"China"} dict2 = {"a":1,"b":2,"c":1,"d":3} dict3 = {1:"a",2:"b",3:"c"} dict4 = {}表示创建一个空的字典
1. Accessing values in the dictionary
Accessing the dictionary in python is to access the values in the dictionary through keys. If you access data with keys that are not in the dictionary, an error will be output.
eg:
dict1 = {"name":"张三","age":18,"地址":"China"} m = dict1["name"] print(m)
At this time, the printed result is "Zhang San", which means that the access dictionary key is the value corresponding to "name".
2. Access all keys in the dictionary Or all values
eg:
dict1 = {"name":"张三","age":18,"地址":"China"} m = dict1.keys() n = dict1.values() print(m) print(n)
At this time, the printed result is m for dict_keys(['name', 'age', 'address']), which obtains all the values in the dictionary dict1 The value of the key. n is dict_values(['Zhang San', 18, 'China']), which obtains all the value values in the dictionary dict1.
3. Modify the dictionary
Add a new key pair value in the dictionary, or modify the value corresponding to an existing key
Add a new key pair value:
dict1 = {"name":"张三","age":18,"地址":"China"} dict1["成绩"]="优秀" print(dict1)
The printed result at this time is {'name': 'Zhang San', 'age': 18, 'Address': 'China', 'Achievements': 'Excellent'}, and a key is added to dictionary dict1 as "Achievements" Key pair with value "excellent".
Modify the value corresponding to the existing key:
dict1={'name': '张三', 'age': 18, '地址': 'China', '成绩': '优秀'} dict1["name"]="李四" print(dict1)
The printed result is {'name': '李思', 'age': 18, 'Address': 'China', 'Achievements': 'Excellent'}, change the value corresponding to the key "name" in the dictionary dict1 from Zhang San to Li Si.
4. Delete dictionary elements The del() method can delete a single element or the dictionary. After deleting the dictionary, the dictionary will no longer exist
Delete a single element:
dict1={'name': '张三', 'age': 18, '地址': 'China', '成绩': '优秀'} del dict1['成绩'] print(dict1)
The printed result at this time is {'name': 'Zhang San', 'age': 18, 'Address': 'China'}, and the key "score" and the corresponding value in the dictionary dict1 are deleted.
Delete dictionary:
dict1={'name': '张三', 'age': 18, '地址': 'China', '成绩': '优秀'} del dict1 print(dict1)
At this time, the printed result is "NameError: name 'dict1' is not defined", which means that dictionary dict1 no longer exists because dictionary dict1 has been deleted.
5. Clear the dictionary. Because del is to delete the dictionary, if you want to clear the dictionary, you can use the dict.clear() method, which means to clear all key pairs in the dictionary.
eg:
dict1={'name': '张三', 'age': 18, '地址': 'China', '成绩': '优秀'} dict1.clear() print(dict1)
The printed result at this time is {}, which means that all values in the dictionary dict1 have been cleared, and the dictionary dict1 is an empty dictionary.
The above is the detailed content of One of the commonly used methods in Python dictionary. For more information, please follow other related articles on the PHP Chinese website!

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
