Table of Contents
Understanding Questions
Input and output scenarios
Using iteration and Max()
Example
Output
Using iteration with Sorted() Lambda
Use Sorted() Itemgetter()
Additional Solutions and Insights
in conclusion
Home Backend Development Python Tutorial Python program to extract N largest dictionary keys

Python program to extract N largest dictionary keys

Sep 08, 2023 pm 10:29 PM
python extract maximum

Python program to extract N largest dictionary keys

A Python dictionary is a data structure that can be used for a variety of operations, making it a prolific programming tool. It stores data in the form of key-value pairs, i.e. each data can be tagged with a unique key. Keys in a dictionary are identifiers associated with different values ​​that can be accessed, modified, and deleted.

Keys can be sorted and extracted in different orders depending on the task. In this article, we will discuss the similar concept of extracting N maximum dictionary keys. We will operate on these unique keys and extract the relevant data.

Understanding Questions

Consider a dictionary with random unique key values, our task is to separate the largest N keys from the dictionary. Let us understand this through an example -

Input and output scenarios

Let us consider a dictionary with the following values ​​-

Input:
dict1 = {12 : 10, 22 : 12, 18 : 4, 4 : 8, 20 : 14, 9 : 13}
Copy after login

If the value of N is 4, return the four largest key values ​​in the original dictionary.

Output: [22, 20, 18, 12]
Copy after login

Return at most N key values. Now that we understand the problem statement, let's discuss some solutions.

Using iteration and Max()

This is the basic way to extract the N largest keys from a dictionary. We will create a dictionary and two empty lists to store the maximum value and the reference value respectively. After that, we will pass the "N" value and extract the key value with the help of iteration and ".items()" method.

These extracted values ​​will be stored in a list (Maxlis). We will iterate over the appended dictionary keys "N" times again and extract all the maximum values. On each iteration, the largest key value is removed from the list and the list with the largest N keys (Nlargest) is printed.

Example

The following is an example of extracting the N largest dictionary keys using iteration and appending -

dict1 = {12 : 10, 22 : 12, 18 : 4, 4 : 8, 20 : 14, 9 : 13}
Maxlis = []
N = 4
Nlargest = []
print(f"The original dictionary is: {dict1}")

for keys, values in dict1.items():
   Maxlis.append(keys)

for x in range(N):
   maxval = max(Maxlis)
   Nlargest.append(maxval)
   Maxlis.remove(maxval)

print(f"The list of N largest dictionaries keys: {Nlargest}")
Copy after login

Output

The original dictionary is: {12: 10, 22: 12, 18: 4, 4: 8, 20: 14, 9: 13}
The list of N largest dictionaries keys: [22, 20, 18, 12]
Copy after login

Using iteration with Sorted() Lambda

This is an advanced method of extracting the N largest keys. In this method we will retrieve all dictionary keys using iteration and ".items()" method. We will use the "key" parameter in the "sorted()" function to specify another function (lambda) to handle the extraction logic. The lambda function extracts the keys and the sorted() function sorts them in order.

The "reverse = True" clause sorts the key values ​​in descending order. Finally, we use slicing technique to extract only the first N keys from the dictionary and store them in a list (Nlargest).

Example

The following is an example -

dict1 = {12 : 10, 22 : 12, 18 : 4, 4 : 8, 20 : 14, 9 : 13}
N = 4
Nlargest = []
print(f"The original dictionary is: {dict1}")

for keys, values in sorted(dict1.items(), key = lambda item : item[0],
   reverse = True) [:N]:
   Nlargest.append(keys)
print(f"The N largest keys are: {Nlargest}")
Copy after login

Output

The original dictionary is: {12: 10, 22: 12, 18: 4, 4: 8, 20: 14, 9: 13}
The N largest keys are: [22, 20, 18, 12]
Copy after login
Copy after login

Use Sorted() Itemgetter()

Instead of using the lambda function, we can use the "itemgetter()" function in the operator module to extract items. We will use the same concept of iteration and sorting keys, but the "key" parameter will be assigned the "itemgetter()" function to extract the key.

Example

The following is an example -

from operator import itemgetter
dict1 = {12 : 10, 22 : 12, 18 : 4, 4 : 8, 20 : 14, 9 : 13}
N = 4
Nlargest = []
print(f"The original dictionary is: {dict1}")

for keys, values in sorted(dict1.items(), key = itemgetter(0),
   reverse = True) [:N]:
   Nlargest.append(keys)
print(f"The N largest keys are: {Nlargest}")
Copy after login

Output

The original dictionary is: {12: 10, 22: 12, 18: 4, 4: 8, 20: 14, 9: 13}
The N largest keys are: [22, 20, 18, 12]
Copy after login
Copy after login

Additional Solutions and Insights

There are various techniques for extracting the largest N keys from a dictionary, including using the "nlargest()" function in the "heapq" module and function-based sorting . Setting the correct values ​​for the "lambda" and "itemgetter" functions is very important as it sets the stage for item sorting and extraction.

in conclusion

In this article, we discussed various solutions for extracting the N largest dictionary values. We start with a basic and crude approach of isolating and attaching the largest key. Afterwards, we discuss some advanced solutions to generate detailed and optimized programs. We learned about the applications of sorted(), lambda, itemgetter, and max() functions.

The above is the detailed content of Python program to extract N largest dictionary keys. 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.

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.

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.

How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

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.

Where to write code in vscode Where to write code in vscode Apr 15, 2025 pm 09:54 PM

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

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.

See all articles