Home Backend Development Python Tutorial Detailed explanation of Python dictionary operations_python

Detailed explanation of Python dictionary operations_python

Apr 02, 2018 pm 04:56 PM
dictionary python Detailed explanation

This article mainly introduces the detailed operation method of Python dictionary (Dictionary). Friends who need it can refer to it

Python dictionary is another variable container model and can store any type of object, such as Other container models such as strings, numbers, tuples, etc.
1. Create a dictionary
The dictionary consists of pairs of keys and corresponding values. Dictionaries are also called associative arrays or hash tables. The basic syntax is as follows:

Copy code The code is as follows:

dict = {'Alice': '2341', 'Beth': '9102', ' Cecil': '3258'}


You can also create a dictionary like this:

Copy code The code is as follows:

dict1 = { 'abc': 456 };
dict2 = { 'abc': 123, 98.6: 37 };


Note:
Each key and value are separated by a colon (: ), use commas for each pair, separate each pair with commas, and place the whole pair in curly braces ({}).
Keys must be unique, but values ​​do not.
The value can be of any data type, but it must be immutable, such as string, number or tuple.
2. Access the values ​​in the dictionary
Put the corresponding keys into familiar square brackets, as shown in the following example:

Copy code The code is as follows:

#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'};

print "dict['Name']: ", dict['Name'];
print "dict['Age']: ", dict['Age'];
#Above examples Output result:

#dict['Name']: Zara
#dict['Age']: 7


If you access the data using keys that are not in the dictionary, it will The output error is as follows:

Copy code The code is as follows:

#!/usr/bin/python

dict = {'Name' : 'Zara', 'Age': 7, 'Class': 'First'};

print "dict['Alice']: ", dict['Alice'];


#Output result of the above example:

#dict['Zara']:
#Traceback (most recent call last):
# File "test.py", line 4, in
# print "dict['Alice']: ", dict['Alice'];
#KeyError: 'Alice'[/code]
3. Modify the dictionary
The way to add new content to the dictionary is to add new key/value pairs, modify or delete existing key/value pairs as follows:

Copy code The code is as follows:

#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'};

dict['Age'] = 8; # update existing entry
dict['School'] = "DPS School"; # Add new entry


print "dict[ 'Age']: ", dict['Age'];
print "dict['School']: ", dict['School'];
#Output result of the above example:
#dict[ 'Age']: 8
#dict['School']: DPS School


4. Delete dictionary elements
You can delete a single element or clear it Dictionary, clearing requires only one operation.
Use the del command to display a dictionary, as shown in the following example:

Copy code The code is as follows:

#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Class': 'First'};

del dict['Name']; # The delete key is 'Name ''s entries
dict.clear(); # Clear all entries in the dictionary
del dict ; # Delete the dictionary

print "dict['Age']: ", dict['Age'];
print "dict['School']: ", dict['School'];
#But this will throw an exception because the dictionary no longer exists after using del:

dict[' Age']:
#Traceback (most recent call last):
# File "test.py", line 8, in
# print "dict['Age']: ", dict['Age'];
#TypeError: 'type' object is unsubscriptable


##5. Characteristics of dictionary keysDictionary values ​​can be taken without restrictions Any Python object can be either a standard object or user-defined, but keys cannot.
Two important points to remember:
1) The same key is not allowed to appear twice. If the same key is assigned twice during creation, the latter value will be remembered, as shown in the following example:

Copy code The code is as follows:

#!/usr/bin/python

dict = {'Name': 'Zara', 'Age': 7, 'Name': 'Manni'};

print "dict['Name']: ", dict['Name'];
#The above example output result:
#dict['Name']: Manni


2) key It must be immutable, so it can be used as a number, string or tuple, so a list will not work. The following example:

Copy code The code is as follows:

#!/usr/bin/python

dict = {['Name']: 'Zara', 'Age': 7};

print "dict['Name']: ", dict['Name'];
#Output result of the above example:

#Traceback (most recent call last):
# File "test.py", line 3, in < module>
# dict = {['Name']: 'Zara', 'Age': 7};
#TypeError: list objects are unhashable


6. Dictionary built-in functions & methods
Python dictionary contains the following built-in functions:
1, cmp(dict1, dict2): Compare two dictionary elements.
2. len(dict): Calculate the number of dictionary elements, that is, the total number of keys.
3. str(dict): Output the printable string representation of the dictionary.
4. type(variable): Returns the input variable type. If the variable is a dictionary, return the dictionary type.

Python dictionary contains the following built-in methods:
1. radiansdict.clear(): Delete all elements in the dictionary
2. radiansdict.copy(): Return a shallow copy of the dictionary
3. radiansdict.fromkeys(): Create a new dictionary, using the elements in the sequence seq as the keys of the dictionary, and val is the initial value corresponding to all keys in the dictionary
4. radiansdict.get(key, default=None): Return the specified The value of the key. If the value is not in the dictionary, return the default value
5. radiansdict.has_key(key): Return true if the key is in the dictionary dict, otherwise return false
6. radiansdict.items(): Return as a list Traversable (key, value) tuple array
7, radiansdict.keys(): Returns all the keys of a dictionary as a list
8, radiansdict.setdefault(key, default=None): and get() Similar, but if the key does not already exist in the dictionary, the key will be added and the value will be set to default
9, radiansdict.update(dict2): Update the key/value pair of dictionary dict2 into dict
10 , radiansdict.values(): Returns all the values ​​in the dictionary as a list

Related recommendations:

[python tutorial] Python Dictionary (Dictionary )

The above is the detailed content of Detailed explanation of Python dictionary operations_python. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

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.

Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

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.

Can visual studio code be used in python Can visual studio code be used in python Apr 15, 2025 pm 08:18 PM

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.

Can vs code run in Windows 8 Can vs code run in Windows 8 Apr 15, 2025 pm 07:24 PM

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.

Is the vscode extension malicious? Is the vscode extension malicious? Apr 15, 2025 pm 07:57 PM

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.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

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 and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

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.

How to run programs in terminal vscode How to run programs in terminal vscode Apr 15, 2025 pm 06:42 PM

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.

See all articles