


Python's Math library: usage and introduction to common functions
Math library overview
math The library is a built-in mathematical function library provided by Python, because complex numbers Types are often used in scientific calculations, but not in general calculations. Therefore, the math library does not support complex number types and only supports integer and floating point number operations.
math The library provides a total of 4 mathematical constants and 44 functions. 44 functions are divided into 4 categories, including 16 numerical representation functions, 8 power logarithmic functions, 16 trigonometric functions and 4 advanced special functions.
math There are a large number of functions in the library. During the learning process, we only need to understand the functions one by one and remember some commonly used functions. In actual programming, if you need to use the math library, you can check the math library quick reference at any time.
math The functions in the library cannot be used directly. You need to use the reserved words import to reference the library first. The reference method is as follows.
The first one: import math Use math.<b>() for the functions in the math library Use the form
for example:
import math a=math.ceil(10.2) #向上取整 print(a)
11
The second type: from math import Right math Functions in the library can be used directly in the form of ()
For example:
from math import floor a=floor(10.2) #向下取整 print(a)
10
Another form of the second is from math import *. If the math library is introduced in this way, all functions in the math library can be used directly in the form
math References to libraries and other function libraries can be freely selected from these two methods.
math library analysis
math Mathematical constants of the library (4 in total)
Constant | Description |
math.pi | Pi, the value is 3.141 592 653 589 793 |
math.e | Natural logarithm, the value is 2.718 281 828 459 045 |
Positive infinity , negative infinity is | - math.inf |
non-floating point number mark, | NaN (Not a Number) |
math Numeric representation functions of the library (16 in total)
Description | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Returns the absolute value of x | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Return the modulus of x and y | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Float Accurate sum of points | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Round up and return the smallest integer that is not less than x | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Round down and return the largest integer not greater than x | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Return Factorial of x, if x is a decimal or negative number, return ValueError | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Return the greatest common divisor of a and b | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
means x = m*2e, return (m,e), when x =0, return (0.0, 0) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Return x*2i operation value, the inverse operation of math.frexp(x) function | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Return the decimal and integer parts of x | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Return the integer part of x | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replace the sign of value x with the sign of value y | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Compare the similarity between a and b, return True or False | ##math.isfinite(x) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
math.isinf(x) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
math.isnan(x) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
函数 | 数学表示 | 描述 |
math.pow(x,y) | xy | 返回 x 的 y 次幂 |
math.exp(x) | ex | 返回 e 的 x 次幂,e 是自然对数 |
math.expml(x) | ex-1 | 返回 e 的 x 次幂减 1 |
math.sqrt(x) | √x | 返回 x 的平方根 |
math.log(x[,base]) | logbasex | 返回 x 的对数值,只输入 x 时,返回自然对数,即 ln x |
math.log1p(x) | ln(1+x) | 返回 1+x 的自然对数值 |
math.log2(x) | log2x | 返回 x 的 2 对数值 |
math.log10(x) | log10x | 返回 x 的 10 对数值 |
math 库的三角运算函数(共 16 个)
函数 | 数学表示 | 描述 |
math.degrees(x) | 无 | 角度 x 的弧度值转角度值 |
math.radians(x) | 无 | 角度 x 的角度值转弧度值 |
math.hypot(x,y) | √x2+y2 | 返回 (x,y) 坐标到原点的距离 |
math.sin(x) | sin x | 返回 x 的正弦函数值,x 是弧度值 |
math.cos(x) | cos x | 返回 x 的余弦函数值,x 是弧度值 |
math.tan(x) | tan x | 返回 x 的正切函数值,x 是弧度值 |
math.asin(x) | arcsin x | 返回 x 的反正弦函数值,x 是弧度值 |
math.acos(x) | arccos x | 返回 x 的反余弦函数值,x 是弧度值 |
math.atan(x) | arctan x | 返回 x 的反正切函数值,x 是弧度值 |
math.atan2(x,y) | arctan y/x | 返回 y/x 的反正切函数值,x 是弧度值 |
math.sinh(x) | sinh x | 返回 x 的双曲正弦函数值 |
math.cosh(x) | cosh x | 返回 x 的双曲余弦函数值 |
math.tanh(x) | tanh x | 返回 x 的双曲正切函数值 |
math.asinh(x) | atcsinh x | 返回 x 的反双曲正弦函数值 |
math.acosh(x) | arccosh x | 返回 x 的反双曲余弦函数值 |
math.atanh(x) | arctanh x | 返回 x 的反双曲正切函数值 |
math 库的高等特殊函数(共 4 个)
math.erf(x) | 高斯误差函数,应用于概率论、统计学等领域 |
math.erfc(x) | 余补高斯误差函数,math.erfc(x)= 1 - math.erf(x) |
math.gamma(x) | 伽玛(Gamma)函数,也叫欧拉第二积分函数 |
math.lgamma(x) | 伽玛函数的自然对数 |
The above is the detailed content of Python's Math library: usage and introduction to common functions. 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

AI Hentai Generator
Generate AI Hentai for free.

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 and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

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.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

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.
