


Introduction to Python functions: usage and examples of round function
Introduction to Python functions: Usage and examples of round function
Overview:
In Python, round() is a built-in function used to perform operations on numbers. rounding. It can round floating point or integer values to a specified number of decimal places. The round() function has the following syntax:
round(number, ndigits)
where number is the number to be rounded, and ndigits is the number of decimal places to be retained.
Usage examples:
- Rounding to integers
If the ndigits parameter is 0 or omitted, a floating point number or integer can be rounded to the nearest integer value.
num1 = 10.4 num2 = 10.6 print(round(num1)) # 输出:10 print(round(num2)) # 输出:11
- Round to the specified number of decimal places
If the ndigits parameter is a positive integer, a floating point number or integer can be rounded to the specified number of decimal places.
num = 3.1415926 print(round(num, 2)) # 输出:3.14 print(round(num, 4)) # 输出:3.1416
- Rounding to negative digits
If the ndigits parameter is a negative integer, a floating point number or integer can be rounded to the specified number of digits, that is, the number of digits to the left of the decimal point.
num = 9876 print(round(num, -1)) # 输出:9900 print(round(num, -2)) # 输出:9800
Some notes:
- The round() function returns a floating point number, even if the integer is passed in.
- When the number to be rounded is equidistant from two integers, the round() function returns the nearest even integer.
num1 = 2.5 num2 = 3.5 print(round(num1)) # 输出:2 print(round(num2)) # 输出:4
Conclusion: The
round() function is a very useful function that can be used to round numbers. It can be rounded to an integer or to a specified number of decimal places. In some cases, it can also be used to round a number to a specified number of negative digits. Whether you are dealing with financial data, scientific calculations, or other scenarios that require precise processing of numbers, the round() function can come in handy.
The above is the detailed content of Introduction to Python functions: usage and examples of round 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

SublimeText3 Chinese version
Chinese version, very easy to use

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

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

Dreamweaver Mac version
Visual web development tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.