Mean value from a Matrix | Linear Algebra using Python

Linear Algebra using Python | Mean value from a Matrix: Here, we are going to learn about the mean value from a matrix and its implementation in Python.
Submitted by Anuj Singh, on June 06, 2020

Prerequisites:

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

Mean = Sum of all Entries/Total number of Entries

Syntax:

    numpy.mean(Matrix_M)

Return: The mean value from the Matrix Matrix_M

Python code to find the mean value from a Matrix

# Linear Algebra Learning Sequence
# Mean 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("\n\n---Matrix A---\n", M)

print('Mean value in Matrix A : ', np.mean(M))

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

print('Mean value in Matrix B : ', np.mean(M))


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

print('Mean value in Matrix C : ', np.mean(M))

Output:

---Matrix A---
 [[   2    3    4]
 [   4    4    8]
 [   4 8455    7]
 [   4    8   99]]
Mean value in Matrix A :  716.8333333333334


---Matrix B---
 [[ 2  3  4]
 [ 4 44  8]
 [ 4  8  7]
 [ 4  8  9]]
Mean value in Matrix B :  8.75


---Matrix C---
 [[2 3 4]
 [4 4 8]
 [4 8 7]]
Mean value in Matrix C :  4.888888888888889





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