search
HomeBackend DevelopmentPython TutorialCan python dictionaries be sorted?

Can python dictionaries be sorted?

Jun 14, 2019 am 11:25 AM
python

In python, dictionary is a built-in data type, an unordered storage structure, and each element is a key-value pair.

Can python dictionaries be sorted?

For example: dict = {'username': 'xiaoming', 'password': '123456'}, where 'username' and 'password' are keys, and ' Xiaoming' and '123456' are values. You can get the reference to the corresponding value value through d[key], but you cannot get the key through value.

For dictionnary, you need to know the following points:

a. The key of dictionary is case-sensitive;

b. A dictionary There cannot be duplicate keys;

c. Dictionaries are unordered and have no concept of element order. They are just simple arrangements of order pairs.

Dictionary is sorted by key/value:

The dictionary itself has no concept of order, but it is always at some point, but we often need to Dictionary sorting

Method 1: Sort by key value.

def sortedDictValues1(adict):
    items = adict.items()
    print "items:",items 
    items.sort()
    return [value for key, value in items]
adict = {"a1":11,"b1":2,"c1":30,"e1":20,"d1":4}
print sortedDictValues1(adict)
items: [('a1', 11), ('c1', 30), ('e1', 20), ('b1', 2), ('d1', 4)]
[11, 2, 30, 4, 20]

The items method of the dictionary returns a list of tuples, each tuple containing a pair of items - a key and a corresponding value. A list of tuples can be sorted using the sort() method.

Method 2: Sort by key value

def sortedDictValues2(adict): 
    keys = adict.keys() 
    keys.sort() 
    return [dict[key] for key in keys]

The keys() method of the dictionary object returns a list of all key values ​​in the dictionary, and the order is random. When you need to sort, just use the sort() method on the returned key value list, which is faster than method 1.

Method 3: Sort by key value

def sortedDictValues3(adict): 
    keys = adict.keys() 
    keys.sort() 
    return map(adict.get, keys)

Use the mapping method to perform the last step more efficiently

Method 4: One line Statement

[(k,di[k]) for k in sorted(di.keys())]

Method 5: Sort by value

def sort_by_value(d): 
    items=d.items() 
    backitems=[[v[1],v[0]] for v in items] 
    backitems.sort() 
    return [ backitems[i][1] for i in range(0,len(backitems))]

First exchange the key and value positions of the item into a list, and then according to each list The first value of the element, that is, the original value, sorted:

Method 6: Sort by value

[ v for v in sorted(di.values())]

Method 7: Use the sorted function key= parameter sorting:

Sort by key

print sorted(dict1.items(), key=lambda d: d[0])

Sort by value

print sorted(dict1.items(), key=lambda d: d[1])
python内置sorted函数的帮助文档:
sorted(…)
sorted(iterable, cmp=None, key=None, reverse=False) –> new sorted list

The method of sorting dictionary, in fact, their core ideas are the same, that is, dictionary The elements in are separated into a list, and the list is sorted, thereby indirectly sorting the dictionary. This "element" can be key, value or item.

Method 8: PYTHON's COLLECTION series - ordered dictionary (ORDEREDDICT)

orderdDict is a supplement to the dictionary type, which retains the order in which dictionary elements are added

import collections
dic = collections.OrderedDict()
dic["featureName"] = "f1"
dic["uId"] = "12345"
dic["value"] = "7"
print dic
#结果
#OrderedDict([('featureName', 'f1'), ('uId', '12345'), ('value', '7')])

The above is the detailed content of Can python dictionaries be sorted?. For more information, please follow other related articles on the PHP Chinese website!

Statement
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
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

See all articles

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

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software