Python Numpy matrix.max() Function

/ Python / By

NumPy Library 

NumPy is a library in python that is created to work efficiently with arrays in python. It is fast, easy to learn, and provides efficient storage. It also provides a better way of handling data for the process. We can create an n-dimensional array in NumPy. To use NumPy simply have to import it into our program and then we can easily use the functionality of NumPy in our program.

NumPy is a Python library that is frequently used for scientific and statistical analysis. NumPy arrays are grids of the same datatype’s values.

Numpy matrix.max() Function:

We can obtain the maximum value from a given matrix using the matrix.max() method of the Numpy module.

Syntax:

 matrix.max()

Return Value:

The maximum value from a given matrix is returned by the max() function.

Numpy matrix.max() Function in Python

For 2-Dimensional (2D) Matrix

Approach:

  • Import numpy module using the import keyword
  • Create a matrix(2-Dimensional) using the matrix() function of numpy module by passing some random 2D matrix as an argument to it and store it in a variable
  • Apply the max() function on the given matrix to get the maximum value from a given matrix.
  • Store it in another variable
  • Print the maximum value from a given matrix.
  • The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
            
# Create a matrix(2-Dimensional) using the matrix() function of numpy module by passing 
# some random 2D matrix as an argument to it and store it in a variable
gvn_matrx = np.matrix('[1, 15; 4, 5]')
            
# Apply the max() function on the given matrix to get the maximum value from a given matrix.
# Store it in another variable
rslt = gvn_matrx.max()
# Print the maximum value from a given matrix.
print("The maximum value from a given matrix is:")
print(rslt)

Output:

The maximum value from a given matrix is:
15

For 3-Dimensional (3D) Matrix

Approach:

  • Import numpy module using the import keyword
  • Create a matrix(3-Dimensional) using the matrix() function of numpy module by passing some random 3D matrix as an argument to it and store it in a variable
  • Apply the max() function on the given matrix to get the maximum value from a given matrix.
  • Store it in another variable
  • Print the maximum value from a given matrix.
  • The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
            
# Create a matrix(3-Dimensional) using the matrix() function of numpy module by passing 
# some random 3D matrix as an argument to it and store it in a variable
gvn_matrx = np.matrix('[10, 2, 5; 1, 30, 12; 50, 7, 9]')
            
# Apply the max() function on the given matrix to get the maximum value from a given matrix.
# Store it in another variable
rslt = gvn_matrx.max()
# Print the maximum value from a given matrix.
print("The maximum value from a given matrix is:")
print(rslt)

Output:

The maximum value from a given matrix is:
50