w3resource

NumPy: Create an empty and a full array

NumPy: Array Object Exercise-13 with Solution

Write a NumPy program to create an empty and full array.

Python NumPy: Create an empty and a full array

Sample Solution:-

Python Code:

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating an empty array of shape (3, 4) using np.empty()
x = np.empty((3, 4))

# Printing the empty array 'x'
print(x)

# Creating a filled array of shape (3, 3) with all elements as 6 using np.full()
y = np.full((3, 3), 6)

# Printing the filled array 'y'
print(y)

Sample Output:

[[  6.93643969e-310   8.76783124e-317   6.93643881e-310   6.79038654e-31
3]                                                                      
 [  2.22809558e-312   2.14321575e-312   2.35541533e-312   2.42092166e-32
2]                                                                      
 [  7.46824097e-317   9.08479214e-317   2.46151512e-312   2.41907520e-31
2]]                                                                     
[[6 6 6]                                                                
 [6 6 6]                                                                
 [6 6 6]]

Explanation:

In the above code –

x = [10, 20, 30]: Defines a list called ‘x’ with three integer elements.

x = np.append(x, [[40, 50, 60], [70, 80, 90]]): The np.append() function is used to append two lists of three elements each to the original list ‘x’. The resulting object is converted into a NumPy array and stored back into ‘x’.

Python-Numpy Code Editor:

Previous: Write a NumPy program to append values to the end of an array.
Next: Write a NumPy program to convert the values of Centigrade degrees into Fahrenheit degrees and vice versa. Values are stored into a NumPy array.

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://198.211.115.131/python-exercises/numpy/python-numpy-exercise-13.php