NumPy: Find the number of rows and columns of a given matrix

NumPy: Basic Exercise-26 with Solution

Write a NumPy program to find the number of rows and columns in a given matrix.

Sample Solution :

Python Code :

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

# Creating a NumPy array 'm' containing integers from 10 to 21 and reshaping it into a 3x4 matrix using np.arange() and .reshape()
m = np.arange(10, 22).reshape((3, 4))

# Printing a message indicating the original matrix 'm'
print("Original matrix:")
print(m)

# Printing a message indicating the number of rows and columns of the matrix 'm' using the .shape attribute
print("Number of rows and columns of the said matrix:")
print(m.shape) 

Sample Output:

Original matrix:
[[10 11 12 13]
 [14 15 16 17]
 [18 19 20 21]]
Number of rows and columns of the said matrix:
(3, 4)                         

Explanation:

In the above code the np.arange() function generates an array of evenly spaced values within a specified interval. In this case, it generates an array starting at 10 and ending before 22, with a default step size of 1, resulting in an array of integers from 10 to 21. Then, the reshape() method is used to change the shape of the generated array into a 3x4 matrix (3 rows and 4 columns).

Then print(m) prints the reshaped array 'm' to the console. The output will be a 3x4 matrix containing integers from 10 to 21.:

Finally print(m.shape) prints the shape of the array 'm' to the console.

Pictorial Presentation:

Python-Numpy Code Editor:

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