Python Array and Appending in Python
Python is a popular high-level programming language used extensively today in various applications. Data structures are one of the fundamental features of this language.
An array is one such data structure that stores a collection of elements of the same data type. In this article, we will discuss Python Array and how appending is done in Python.
Variants of Python Array
Python arrays can be classified into two types – lists and tuples. Lists are mutable, and items can be added, deleted, or modified at any time.
Tuples are immutable and are used to store constant values. You cannot change the values of a tuple once assigned.
Append an Array in Python Using the append() function
Python provides an in-built function called append() that can be used to add items to an existing array. This function adds a single element at the end of the array.
Here is the syntax for append() function,
array_name.append(item)Let’s see an example of how append() method works. Suppose you have an array named fruits that consist of, say, mango, apple, and banana.
fruits= ["mango", "apple", "banana"]The following code demonstrates how to add another item, i.e., cherry to the fruit array. fruits.append(“cherry”)
It would look like this:
fruits= ["mango", "apple", "banana", "cherry"]The append() method added a cherry to the end of the fruits list, creating a new list.
Python append() method with Lists
Python provides a powerful tool in the form of the append() method that helps manipulate lists in a variety of ways. The append() method can be used with lists to add elements at the end of the list.
Here is the syntax for the append() method with lists:
List.append(element)Here is an example of how to use the append() method with lists. Consider the following list:
list_example = [10, 20, 30]And let’s add another value to the list using the append() method.
list_example.append(40)This would give you a modified list as:
list_example = [10, 20, 30, 40]As you can see, the method append() added the value 40 at the end of our list.
Python append() method with the Array module
Python programming language provides an inbuilt array module that allows the user to store a collection of similar datatypes in a compact manner. Arrays can be created similarly to lists.
The only difference being that we need to import the array module before using it. In this article, we’ll explore creating arrays using the array module and the functioning of the append method with the array module.
Creating an array using the Array module
To use arrays, we have to import the array module. The array module provides us the array() method to create an array.
Here’s the syntax for the method:
array_name = array(typecode, [initializer])where typecode specifies the type of elements to be stored in the array, and the optional initializer specifies the initial value of the array. For example, this code creates an array of integer elements:
import array as arr
int_arr = arr.array('i', [1, 2, 3])The array ‘int_arr’ contains values [1,2,3], and the type of elements in the array is integer, represented by ‘i’. Functioning of
Python append() method with the Array module
The array module also provides an append() method, similar to the list data type provided in Python’s standard library.
The append() method is used to add elements to the array, one at a time. The syntax is as follows:
array_name.append(value)Here’s an example of how to use the append() method with the array module:
import array as arr
int_arr = arr.array('i', [1, 2, 3, 4])
int_arr.append(5)In this code snippet, we have added the value 5 to the int_arr array using the append() method. The resulting array would contain values [1,2,3,4,5].
Python append() method with NumPy array
The NumPy module in Python is used to work with arrays. NumPy is short for “Numerical Python,” and it helps to deal with scientific computing and data analysis tasks efficiently.
In this section, we will discuss how to create NumPy arrays and how the append() method works with NumPy arrays.
Creating an array using NumPy module
To create NumPy arrays, we have to import the NumPy library. NumPy provides us the array() method similar to the array module in Python.
Here’s the syntax to create NumPy arrays:
import numpy as np
numpy_arr = np.array([1, 2, 3])The array ‘numpy_arr’ contains values [1,2,3]. Functioning of
Python append() method with NumPy array
The append() method in NumPy is used to add elements to the end of an existing array.
The append() method requires two arguments, the array you want to append to, and the value you want to append. Here’s an example code snippet of how to use the append() method with NumPy:
import numpy as np
numpy_arr = np.array([1, 2, 3])
numpy_arr = np.append(numpy_arr, 4)In this code snippet, we have added the value 4 to the numpy_arr array using the append() method. The resulting array would contain values [1,2,3,4].
Conclusion
In conclusion, we explored creating arrays using the array module and NumPy module in Python. We learned about the syntax and the functioning of the append() method in the array and NumPy modules.
With the append() method, it can be straightforward and efficient to add elements to an array in Python, making it a powerful tool in coding applications. The array and NumPy modules in Python provide efficient ways to store and manipulate arrays, making them useful in scientific and data analysis tasks.
Conclusion
In this article, we explored how to append elements to arrays in Python. We discussed the different types of arrays in Python, including lists, tuples, arrays from the array module, and NumPy arrays.
We learned how to use the append() method with these arrays to add elements to arrays. Lists and tuples are mutable data structures in Python that store a collection of values of similar data types.
The append() method is used to add elements to an existing list. We can use the append() method to add elements such as ints, floats, or strings to a list.
The syntax for using the append() method is simple and can be executed in just one line. Arrays from the array module also provide a means of creating arrays.
The array() method creates an array using the type code that specifies the type of elements the array stores. The append() method is used to add elements to an array created using the array module.
The append() method adds elements to the end of the array, similar to lists. NumPy arrays are used to work with numerical data and provide efficient ways to store and manipulate arrays.
The append() method is used to add elements to an existing NumPy array. The resulting array is a new array that contains the original elements of the array and the new element added with the append() method.
In conclusion, the append() method is a powerful feature in Python that allows users to add elements to arrays, making it a fantastic tool in building applications. Python arrays are versatile and can be of different types, making them useful in various applications.
Arrays from the array module and NumPy arrays provide efficient ways to store and manipulate arrays that are useful in scientific and data analysis tasks. The knowledge about the types of arrays and how to use the append() method to add elements to them can make writing code more comfortable and efficient.
Conclusion
In conclusion, this article covered the append() method in Python and its use in adding elements to arrays. We discussed the different types of arrays in Python, including lists, tuples, and the array and NumPy modules.
We learned that the append() method is a powerful tool in adding elements to arrays that enables efficient and effective coding. One key takeaway is that understanding these different types of arrays and using append() method effectively can make coding in Python much easier.
With arrays being an essential tool in data analysis and scientific computing tasks, the knowledge gained here can be valuable in a variety of applications. It is important to remember that the append() method is a useful feature in Python that can help users improve their coding efficiency.