# 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:

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
```

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