search
HomeBackend DevelopmentPython TutorialWhat are the numpy functions?

What are the numpy functions?

Nov 21, 2023 pm 05:14 PM
numpy function

Numpy functions include np.sin(), np.cos(), np.tan(), np.exp(), np.log(), np.log10(), np.log2() , np.mean(), np.median(), np.var(), np.std(), np.max(), np.min(), np.percentile(), etc.

What are the numpy functions?

The operating system for this tutorial: Windows 10 system, Python version 3.11.4, DELL G3 computer.

NumPy is an important library for numerical calculations in Python. It provides a rich set of mathematical, logical, statistical and linear algebra functions. The following are some commonly used functions in NumPy and their application examples:

1. Mathematical functions:

np.sin(), np.cos(), np. tan(): Calculates the sine, cosine, and tangent values ​​of each element in the array.

np.exp(): Calculate the exponent value of each element in the array.

np.log(), np.log10(), np.log2(): Calculate the natural logarithm, the logarithm with base 10, and the logarithm with base 2 of each element in the array.

import numpy as np
arr = np.array([1, 2, 3])
print(np.sin(arr))
print(np.exp(arr))
print(np.log10(arr))

2. Statistical functions:

np.mean(), np.median(), np.var(), np.std(): calculated separately The mean, median, variance, and standard deviation of an array.

np.max(), np.min(): Calculate the maximum and minimum values ​​of the array.

np.percentile(): Calculate the percentile of an array.

import numpy as np
arr = np.array([1, 2, 3, 4, 5])
print(np.mean(arr))
print(np.max(arr))
print(np.percentile(arr, 50))

3. Logical functions:

np.logical_and(), np.logical_or(), np.logical_not(): perform logical AND, logical OR and respectively Logical NOT operation.

np.all(), np.any(): Determine whether all elements in the array are True, or whether any element is True.

import numpy as np
arr1 = np.array([True, True, False])
arr2 = np.array([False, True, False])
print(np.logical_and(arr1, arr2))
print(np.any(arr1))

4. Linear algebra function:

np.dot(): Calculate the dot product of two arrays.

np.linalg.inv(): Calculate the inverse matrix of a matrix.

np.linalg.det(): Calculate the determinant value of the matrix.

import numpy as np
arr1 = np.array([[1, 2], [3, 4]])
arr2 = np.array([[5, 6], [7, 8]])
print(np.dot(arr1, arr2))
print(np.linalg.inv(arr1))
print(np.linalg.det(arr1))

These are just one of the commonly used functions in NumPy. It also provides many other functions, such as image processing functions, numerical integration functions, discrete Fourier transform functions, etc. These functions provide very powerful tools for numerical calculations, making NumPy an indispensable part of the field of scientific computing. Hopefully these examples will help you better understand functions in NumPy.

The above is the detailed content of What are the numpy functions?. 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
Are Python lists dynamic arrays or linked lists under the hood?Are Python lists dynamic arrays or linked lists under the hood?May 07, 2025 am 12:16 AM

Pythonlistsareimplementedasdynamicarrays,notlinkedlists.1)Theyarestoredincontiguousmemoryblocks,whichmayrequirereallocationwhenappendingitems,impactingperformance.2)Linkedlistswouldofferefficientinsertions/deletionsbutslowerindexedaccess,leadingPytho

How do you remove elements from a Python list?How do you remove elements from a Python list?May 07, 2025 am 12:15 AM

Pythonoffersfourmainmethodstoremoveelementsfromalist:1)remove(value)removesthefirstoccurrenceofavalue,2)pop(index)removesandreturnsanelementataspecifiedindex,3)delstatementremoveselementsbyindexorslice,and4)clear()removesallitemsfromthelist.Eachmetho

What should you check if you get a 'Permission denied' error when trying to run a script?What should you check if you get a 'Permission denied' error when trying to run a script?May 07, 2025 am 12:12 AM

Toresolvea"Permissiondenied"errorwhenrunningascript,followthesesteps:1)Checkandadjustthescript'spermissionsusingchmod xmyscript.shtomakeitexecutable.2)Ensurethescriptislocatedinadirectorywhereyouhavewritepermissions,suchasyourhomedirectory.

How are arrays used in image processing with Python?How are arrays used in image processing with Python?May 07, 2025 am 12:04 AM

ArraysarecrucialinPythonimageprocessingastheyenableefficientmanipulationandanalysisofimagedata.1)ImagesareconvertedtoNumPyarrays,withgrayscaleimagesas2Darraysandcolorimagesas3Darrays.2)Arraysallowforvectorizedoperations,enablingfastadjustmentslikebri

For what types of operations are arrays significantly faster than lists?For what types of operations are arrays significantly faster than lists?May 07, 2025 am 12:01 AM

Arraysaresignificantlyfasterthanlistsforoperationsbenefitingfromdirectmemoryaccessandfixed-sizestructures.1)Accessingelements:Arraysprovideconstant-timeaccessduetocontiguousmemorystorage.2)Iteration:Arraysleveragecachelocalityforfasteriteration.3)Mem

Explain the performance differences in element-wise operations between lists and arrays.Explain the performance differences in element-wise operations between lists and arrays.May 06, 2025 am 12:15 AM

Arraysarebetterforelement-wiseoperationsduetofasteraccessandoptimizedimplementations.1)Arrayshavecontiguousmemoryfordirectaccess,enhancingperformance.2)Listsareflexiblebutslowerduetopotentialdynamicresizing.3)Forlargedatasets,arrays,especiallywithlib

How can you perform mathematical operations on entire NumPy arrays efficiently?How can you perform mathematical operations on entire NumPy arrays efficiently?May 06, 2025 am 12:15 AM

Mathematical operations of the entire array in NumPy can be efficiently implemented through vectorized operations. 1) Use simple operators such as addition (arr 2) to perform operations on arrays. 2) NumPy uses the underlying C language library, which improves the computing speed. 3) You can perform complex operations such as multiplication, division, and exponents. 4) Pay attention to broadcast operations to ensure that the array shape is compatible. 5) Using NumPy functions such as np.sum() can significantly improve performance.

How do you insert elements into a Python array?How do you insert elements into a Python array?May 06, 2025 am 12:14 AM

In Python, there are two main methods for inserting elements into a list: 1) Using the insert(index, value) method, you can insert elements at the specified index, but inserting at the beginning of a large list is inefficient; 2) Using the append(value) method, add elements at the end of the list, which is highly efficient. For large lists, it is recommended to use append() or consider using deque or NumPy arrays to optimize performance.

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

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

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SecLists

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.