NumPy: Create an empty and a full array

Last update on August 29 2025 12:49:52 (UTC/GMT +8 hours)

Create Empty and Full Array

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’.

For more Practice: Solve these Related Problems:

Create an empty array and then fill it with a constant value using np.full for verification.
Contrast the behavior of np.empty and np.zeros by creating two arrays and comparing their initial values.
Generate an empty array using np.empty_like based on another array’s shape and then fill it with a designated number.
Write a function that outputs both an empty and a fully initialized array for a given shape and value.

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