How to remove duplicate data when merging multiple arrays
This time I will show you how to deduplicate data when merging multiple arrays. What are the precautions for deduplicating data when merging multiple arrays? The following is a practical case, let's take a look.
var arr1 = ['a','b']; var arr2 = ['a','c','d']; var arr3 = [1,'d',undefined,true,null]; //合并两个数组,去重 var concat_ = function(arr1,arr2){ //不要直接使用var arr = arr1,这样arr只是arr1的一个引用,两者的修改会互相影响 var arr = arr1.concat(); //或者使用slice()复制,var arr = arr1.slice(0) for(var i=0;i<arr2.length;i++){ arr.indexOf(arr2[i]) === -1 ? arr.push(arr2[i]) : 0; } return arr; } console.log(concat_(arr1,arr2));
##
var arr1 = ['a','b']; var arr2 = ['a','c','d']; var arr3 = [1,'d',undefined,true,null]; //合并多个数组,去重 var concat = function(arr1,arr2,arr3){ if(arguments.length <= 1){ return false; } var concat_ = function(arr1,arr2){ var arr = arr1.concat(); for(var i=0;i<arr2.length;i++){ arr.indexOf(arr2[i]) === -1 ? arr.push(arr2[i]) : 0; } return arr; } var result = concat_(arr1,arr2); for(var i=2;i<arguments.length;i++){ result = concat_(result,arguments[i]); } return result; } console.log(concat(arr1,arr2,arr3));

//合并多个数组,去重,排序 var arr1 = [1,6,4,0]; var arr2 = [8,20,7,4.5]; var arr3 = [6,0,7,90,2]; var concat = function(arr1,arr2,arr3){ if(arguments.length <= 1){ return false; } var concat_ = function(arr1,arr2){ var arr = arr1.concat(); for(var i=0;i<arr2.length;i++){ arr.indexOf(arr2[i]) === -1 ? arr.push(arr2[i]) : 0; } return arr; } var result = concat_(arr1,arr2); for(var i=2;i<arguments.length;i++){ result = concat_(result,arguments[i]); } //排序 function sortNumber(a,b){ return a - b; } return result.sort(sortNumber); } console.log(concat(arr1,arr2,arr3));
Run result:
I believe you have mastered the method after reading the case in this article. For more exciting information, please pay attention to other related articles on the php Chinese website!
Detailed explanation of the use of React props and state attributes
jQuery implements mouse click suspension effects
The above is the detailed content of How to remove duplicate data when merging multiple arrays. 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



Facing lag, slow mobile data connection on iPhone? Typically, the strength of cellular internet on your phone depends on several factors such as region, cellular network type, roaming type, etc. There are some things you can do to get a faster, more reliable cellular Internet connection. Fix 1 – Force Restart iPhone Sometimes, force restarting your device just resets a lot of things, including the cellular connection. Step 1 – Just press the volume up key once and release. Next, press the Volume Down key and release it again. Step 2 – The next part of the process is to hold the button on the right side. Let the iPhone finish restarting. Enable cellular data and check network speed. Check again Fix 2 – Change data mode While 5G offers better network speeds, it works better when the signal is weaker

I cry to death. The world is madly building big models. The data on the Internet is not enough. It is not enough at all. The training model looks like "The Hunger Games", and AI researchers around the world are worrying about how to feed these data voracious eaters. This problem is particularly prominent in multi-modal tasks. At a time when nothing could be done, a start-up team from the Department of Renmin University of China used its own new model to become the first in China to make "model-generated data feed itself" a reality. Moreover, it is a two-pronged approach on the understanding side and the generation side. Both sides can generate high-quality, multi-modal new data and provide data feedback to the model itself. What is a model? Awaker 1.0, a large multi-modal model that just appeared on the Zhongguancun Forum. Who is the team? Sophon engine. Founded by Gao Yizhao, a doctoral student at Renmin University’s Hillhouse School of Artificial Intelligence.

Recently, the military circle has been overwhelmed by the news: US military fighter jets can now complete fully automatic air combat using AI. Yes, just recently, the US military’s AI fighter jet was made public for the first time and the mystery was unveiled. The full name of this fighter is the Variable Stability Simulator Test Aircraft (VISTA). It was personally flown by the Secretary of the US Air Force to simulate a one-on-one air battle. On May 2, U.S. Air Force Secretary Frank Kendall took off in an X-62AVISTA at Edwards Air Force Base. Note that during the one-hour flight, all flight actions were completed autonomously by AI! Kendall said - "For the past few decades, we have been thinking about the unlimited potential of autonomous air-to-air combat, but it has always seemed out of reach." However now,

The latest video of Tesla's robot Optimus is released, and it can already work in the factory. At normal speed, it sorts batteries (Tesla's 4680 batteries) like this: The official also released what it looks like at 20x speed - on a small "workstation", picking and picking and picking: This time it is released One of the highlights of the video is that Optimus completes this work in the factory, completely autonomously, without human intervention throughout the process. And from the perspective of Optimus, it can also pick up and place the crooked battery, focusing on automatic error correction: Regarding Optimus's hand, NVIDIA scientist Jim Fan gave a high evaluation: Optimus's hand is the world's five-fingered robot. One of the most dexterous. Its hands are not only tactile

FP8 and lower floating point quantification precision are no longer the "patent" of H100! Lao Huang wanted everyone to use INT8/INT4, and the Microsoft DeepSpeed team started running FP6 on A100 without official support from NVIDIA. Test results show that the new method TC-FPx's FP6 quantization on A100 is close to or occasionally faster than INT4, and has higher accuracy than the latter. On top of this, there is also end-to-end large model support, which has been open sourced and integrated into deep learning inference frameworks such as DeepSpeed. This result also has an immediate effect on accelerating large models - under this framework, using a single card to run Llama, the throughput is 2.65 times higher than that of dual cards. one

Last week, amid the internal wave of resignations and external criticism, OpenAI was plagued by internal and external troubles: - The infringement of the widow sister sparked global heated discussions - Employees signing "overlord clauses" were exposed one after another - Netizens listed Ultraman's "seven deadly sins" Rumors refuting: According to leaked information and documents obtained by Vox, OpenAI’s senior leadership, including Altman, was well aware of these equity recovery provisions and signed off on them. In addition, there is a serious and urgent issue facing OpenAI - AI safety. The recent departures of five security-related employees, including two of its most prominent employees, and the dissolution of the "Super Alignment" team have once again put OpenAI's security issues in the spotlight. Fortune magazine reported that OpenA

Methods for deep copying arrays in PHP include: JSON encoding and decoding using json_decode and json_encode. Use array_map and clone to make deep copies of keys and values. Use serialize and unserialize for serialization and deserialization.

The performance comparison of PHP array key value flipping methods shows that the array_flip() function performs better than the for loop in large arrays (more than 1 million elements) and takes less time. The for loop method of manually flipping key values takes a relatively long time.
