w3resource

NumPy: Make an array immutable

NumPy: Array Object Exercise-67 with Solution

Write a NumPy program to make an array immutable (read-only).

Sample Solution:

Python Code:

# Importing the NumPy library and aliasing it as 'np'
import numpy as np

# Creating a NumPy array 'x' filled with zeros, containing 10 elements
x = np.zeros(10)

# Setting the 'writeable' flag of the array 'x' to False, making it read-only
x.flags.writeable = False

# Printing a message to test whether the array is read-only or not
print("Test the array is read-only or not:")

# Attempting to change the value of the first element in the array 'x'
print("Try to change the value of the first element:")
x[0] = 1  # This line will raise an error since the array is read-only 

Sample Output:

Test the array is read-only or not:                                    
Try to change the value of the first element:                          
Traceback (most recent call last):                                     
  File "24222080-0d5f-11e7-93ad-ebc5bbb63894.py", line 6, in   
    x[0] = 1                                                           
ValueError: assignment destination is read-only

Explanation:

In the above code –

‘x = np.zeros(10)’ creates a 1D NumPy array with 10 elements, all initialized to 0 and stores it in the variable ‘x’.

x.flags.writeable = False: This line sets the writeable flag of the x array to False, making the array read-only. This means that any attempt to modify the elements of the array will result in an error.

x[0] = 1: This line tries to set the first element of the array x to 1. However, since the array is read-only, this operation will raise a ValueError.

Python-Numpy Code Editor:

Previous: Write a NumPy program to create a vector of size 10 with values ranging from 0 to 1, both excluded.
Next: Write a NumPy program (using numpy) to sum of all the multiples of 3 or 5 below 100.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://w3resource.com/python-exercises/numpy/python-numpy-exercise-67.php