Python Arrays: Create, Reverse, Pop with Python Array Examples
What exactly is an Array in Python?
A collection of data structures that have a common type and all have elements of the same data type is known as a Python array. Data sets can be stored in collections with its help. The “array” module is what is responsible for handling arrays in Python programming. When using the array module to generate arrays, each element of the array must have the same numeric type in order for the array to be valid.
In this article on Python arrays, you will discover when it is appropriate to use arrays in Python.
When you need to work with a large number of variables that are all of the same type, you utilise arrays in Python. It also has the capability of storing a variety of different kinds of data. When you need to dynamically process the data, arrays are extremely helpful because of their flexibility. Arrays in Python are significantly faster than lists since they utilise significantly less memory.
When to use Array in Python?
Using the following syntax, you can declare an array in Python while also initialising it at the same time.
arrayName is equivalent to array.array (type code for data type, [array,items])
The syntax is broken down into the following image.
Syntax to Create an Array in Python
Array Syntax Identifier: Just like you would normally do for variables, give it a name.
You will need to import the “array” module before you can use it in your Python code because it is a specialised one for constructing arrays in Python.
Method: the array module is equipped with a method that can be used to initialise the array. It requires two arguments, a type code and elements, to function properly.
Code: Specify the data type by utilising the many type codes that are available (see list below)
Elements: You need to specify the array elements within the square brackets, for example [130,450,103].
How does one go about creating arrays using Python?
For the creation of arrays in Python, the following syntax is used:
How to create arrays in Python?
The array.array class (type code[,initializer])
Take, for instance:
import array as myarray and then define abc as myarray.array = myarray.array(‘d’, [2.5, 4.9, 6.7])
The array with the type integer is created by the code that was just shown. A type code is represented by the letter ‘d.’
The type codes are included in the following tables:
ow do you access the items in the array?
You can access any item in the array by using the index that corresponds to it.
This syntax is correct.
arrayName[indexNum]
Take, for instance:
| Type code | Python type | C Type | Min size(bytes) |
|---|---|---|---|
| ‘u’ | Unicode character | Py_UNICODE | 2 |
| ‘b’ | Int | Signed char | 1 |
| ‘B’ | Int | Unsigned char | 1 |
| ‘h’ | Int | Signed short | 2 |
| ‘l’ | Int | Signed long | 4 |
| ‘L’ | Int | Unsigned long | 4 |
| ‘q’ | Int | Signed long long | 8 |
| ‘Q’ | Int | Unsigned long long | 8 |
| ‘H’ | Int | Unsigned short | 2 |
| ‘f’ | Float | Float | 4 |
| ‘d’ | Float | Double | 8 |
| ‘i’ | Int | Signed int | 2 |
| ‘I’ | Int | Unsigned int | 2 |
import the array balance and then print the expression balance = array.array(‘i’, [300,200,100]). (balance[1])
Output:
200
The following illustration provides a visual representation of the fundamental principle of accessing items in arrays by using their index.
How to access array elements?
We have now accessed the second entry in the array by using its index, which is 1, as seen here. The value 200 will be produced as a result of this, which is essentially the same as the second value of the balanced array.
The array index begins at 0 in this case. Utilizing the -1 index is another option for getting to the last element of an array.
Example:
import the array under the name myarray.
the answer is in myarray.
array(‘d, [2.5, 4.9, 6.7]) means that the values are as follows:
print (“Array first element is:”,abc[0])
print (“Array last element is:”,abc[-1])
Output:
The first entry of the array is the value 2.5.
The final member of the array is: 6.7
In addition, you can access items by making use of the colon (:) operator, as seen in the examples of Python arrays that follow.
Example:
import the array under the name myarray.
abacus equals my array.
array(‘q’,[3,9,6,5,20,13,19,22,30,25])
print(abc[1:4]) \sprint(abc[7:10])
Output:
array(‘q’, [9, 6, 5]) is the expression.
array(‘q’, [22, 30, 25]) is the expression.
A slicing operation is what’s meant to be described here.
How to insert elements?
You are able to insert one or more items into an array using the Python array insert operation. The insertion can take place at the beginning, the end, or any given index in the array. This procedure anticipates receiving two inputs, namely index and value.
This syntax is correct.
arrayName.insert is the command to use if you want to insert something (index, value)
Example:
Let’s put a new value in the array just after the second item that it now has. The current contents of our balance array are the numbers 300, 200, and 100 respectively. Take into consideration the second item in the array, which has a value of 200 and an index of 1.
In order to insert the new value immediately “after” index 1, you need to make a reference to index 2 in your insert method, as seen in the following example of a Python array:
import the array balance using the formula: array.array(‘i, [300,200,100]) balance.
print after inserting (2, 150) (balance)
Output:
Example 2: array(‘i’, ‘300’, ‘200’, ‘150’, ‘100’)
import array as myarr and assign a value of myarr.array(‘b’,[2,4,6,8,10,12,14,16,18,20]) to the variable a.
Print the following: a.insert(2,56) (a)
Output:
array(‘b,’ [2, 4, 56, 6, 8-10-12-14-16-18-20])