NumPy: Create a 5x5 matrix with row values ranging from 0 to 4

NumPy: Array Object Exercise-64 with Solution

5x5 Matrix with Row Values 0–4

Write a NumPy program to create a 5x5 matrix with row values ranging from 0 to 4.

Pictorial Presentation:

Sample Solution:

Python Code:

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

# Creating a 5x5 NumPy array 'x' filled with zeros
x = np.zeros((5,5))

# Displaying the original 5x5 array 'x' filled with zeros
print("Original array:")
print(x)

# Adding row values ranging from 0 to 4 to each row of the array 'x'
# The values range from 0 to 4 due to np.arange(5)
x += np.arange(5)

# Displaying the array 'x' after adding row values
print("Row values ranging from 0 to 4.")
print(x)

Sample Output:

Original array:                                                        
[[ 0.  0.  0.  0.  0.]                                                 
 [ 0.  0.  0.  0.  0.]                                                 
 [ 0.  0.  0.  0.  0.]                                                 
 [ 0.  0.  0.  0.  0.]                                                 
 [ 0.  0.  0.  0.  0.]]                                                
Row values ranging from 0 to 4.                                        
[[ 0.  1.  2.  3.  4.]                                                 
 [ 0.  1.  2.  3.  4.]                                                 
 [ 0.  1.  2.  3.  4.]                                                 
 [ 0.  1.  2.  3.  4.]                                                 
 [ 0.  1.  2.  3.  4.]]

Explanation:

‘x = np.zeros((5,5))’ creates a 5x5 array filled with zeros and stores in the variable ‘x’.

x += np.arange(5): This line adds the elements of the 1D array np.arange(5) to each row of the 2D array ‘x’. The np.arange(5) function creates a 1D array of elements from 0 to 4. Due to broadcasting rules, the 1D array is automatically expanded to match the shape of the 2D array x, and the elements are added element-wise.

Python-Numpy Code Editor:

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