Python program to add an element to an array
An array is a collection of elements of the same data type. Each element in the array is identified by an index value. It is the simplest data structure and we can easily add or remove elements.
Arrays in Python
Python has no specific data structure to represent arrays. Here we can list the array using .
[9, 3, 1, 6, 9]
We can process arrays in python using array or NumPy module.
array('i', [1, 2, 3, 4])
The above array is an integer array defined by the array module.
In the same way, we can also use the NumPy module to define Numpy arrays.
array([1, 2, 3, 4])
Indices in python start from 0. All array elements above are also indexed starting from 0, 1,.., (n-1).
Input and output scenarios
Suppose we have an input array containing integer values. The resulting array will have one element appended.
Input array: A = [1, 5, 3, 6] Output array: [1, 5, 3, 6, 2]
Integer element 2 is appended to the end of the given array.
In the following article, we have seen various ways to append elements to an array in Python.
Use list data structure
Since we are using List as an array, we can append elements to the array using the list.append() method.
grammar
list.append(element)
It adds an element to the end of the list. Equivalent to a[len(a):] = [x].
Example
lst = [1, 2, 3, 4, 5, 6] print ("The original array is: ",lst) print() # append an element lst.append(9) print ("The resultant array is: ",lst)
Output
The original array is: [1, 2, 3, 4, 5, 6] The resultant array is: [1, 2, 3, 4, 5, 6, 9]
Element 9 is appended to the array and added to the end of the array.
Using the array module
The array module in Python allows us to create an array and represent an array compactly. To initially use the array module, we need to import the array module.
grammar
array.append(x)
Append a new item with value x to the end of the array.
Example
import array # creating array int_array = array.array('i', [1, 2, 3, 4]) print ("The original array is: ",int_array) print() # append an element int_array.append(0) print ("The resultant array is: ",int_array)
Output
The original array is: array('i', [1, 2, 3, 4]) The resultant array is: array('i', [1, 2, 3, 4, 0])
int_array objects are created with an integer type specified. If we try to append any other type element to the array object then it will throw an error like below.
TypeError - An integer argument was expected, but a floating point number was obtained
Using the NumPy module
By using the numpy library, we can easily create arrays using the numpy.array() method. Similarly, we can also append an element to an array using the numpy.append() method.
grammar
numpy.append(array, element)
This method appends an element to the end of the array. It creates a new array, which can be a copy of the old array, and appends elements so that the original array remains unchanged.
Example
In this example, we will use a for loop to iterate over the string array elements.
import numpy # creating array array = numpy.array([1, 2, 3, 4]) print ("The original array is: ", array) print() # append an element result = numpy.append(array, 9) print ("The resultant array is: ", result)
Output
The original array is: [1 2 3 4] The resultant array is: [1 2 3 4 9]
Here the original array remains unchanged and the resulting array has been updated with new elements.
The above is the detailed content of Python program to add an element to an array. 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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

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 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.

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 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.

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.

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.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

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.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
