Convert list to Python array - Python

We can use a number of approaches to convert a list into a Python array based on the requirements. One option is to use the array module, which allows us to create arrays with a specified data type. Another option is to use the numpy.array() method, which provides more features for working with arrays

Using array() with data type indicator

This task can be easily performed using the array() function. This is an inbuilt function in Python to convert to an array. The data type indicator "i" is used in the case of integers, which restricts data type. 

from array import array
a = [6, 4, 8, 9, 10]
print(str(a))
res = array("i", a)
print(str(res))

[6, 4, 8, 9, 10]
array('i', [6, 4, 8, 9, 10])

Explanation: In array("i", a) "i" indicates that the data type of the array elements will be integers (int). res is the array created from the list a.

Using numpy.array()

This method uses NumPy's array() function to convert a list into a NumPy array, offering more flexibility and additional functionality for numerical operations.

import numpy as np
a = [6, 4, 8, 9, 10]
print(str(a))
res = np.array(a)
print(str(res))

[6, 4, 8, 9, 10]
[ 6  4  8  9 10]

Explanation: The numpy.array() function converts the list a into a NumPy array. By default, NumPy will infer the data type (int in this case), but you can specify it explicitly using the dtype argument if needed.

Related Articles:

• Python Built in Functions
• Basics of NumPy Arrays
• Python NumPy
• Python Tutorial