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Maximum value from a Matrix | Linear Algebra using Python

Linear Algebra using Python | Inverse of an Identity Matrix: Here, we are going to learn about the inverse of an identity matrix and its implementation in Python.
Submitted by Anuj Singh, on June 04, 2020

Prerequisites:

• Defining a Matrix

Here, we are implementing a Python program to find the maximum value from a matrix or vector using an inbuilt function in the numpy library.

Syntax:

    numpy.max(Matrix_M)

Return: The maximum value from the Matrix Matrix_M

Python code to find the maximum value from a Matrix

# Linear Algebra Learning Sequence
# Maximum of a Matrix or Vector

import numpy as np

M = np.array([[2,3,4], [4,4,8], [4,8455,7], [4,8,99] ])
print("---Matrix A---\n", M)

print('\n\nMaximum value in Matrix A \n\n', np.max(M))

M = np.array([[2,3,4], [4,44,8], [4,8,7], [4,8,9] ])
print("---Matrix B---\n", M)

print('\n\nMaximum value in Matrix B \n\n', np.max(M))


M = np.array([[2,3,4], [4,4,8], [4,8,7] ])
print("---Matrix C---\n", M)

print('\n\nMaximum value in Matrix C \n\n', np.max(M))

Output:

---Matrix A---
 [[   2    3    4]
 [   4    4    8]
 [   4 8455    7]
 [   4    8   99]]


Maximum value in Matrix A 

 8455
---Matrix B---
 [[ 2  3  4]
 [ 4 44  8]
 [ 4  8  7]
 [ 4  8  9]]


Maximum value in Matrix B 

 44
---Matrix C---
 [[2 3 4]
 [4 4 8]
 [4 8 7]]


Maximum value in Matrix C 

 8