Python Numpy matrix.min() Function

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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.min() Function:

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

Syntax:

 matrix.min()

Return Value:

The minimum value from a given matrix is returned by the min() function.

Numpy matrix.min() 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 min() function on the given matrix to get the minimum value from a given matrix.
  • Store it in another variable
  • Print the minimum 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 min() function on the given matrix to get the minimum value from a given matrix.
# Store it in another variable
rslt = gvn_matrx.min()
# Print the minimum value from a given matrix.
print("The minimum value from a given matrix is:")
print(rslt)

Output:

The minimum value from a given matrix is:
1

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 min() function on the given matrix to get the minimum value from a given matrix.
  • Store it in another variable
  • Print the minimum 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, 3, 5; 4, 30, 12; 50, 7, 9]')
            
# Apply the min() function on the given matrix to get the minimum value from a given matrix.
# Store it in another variable
rslt = gvn_matrx.min()
# Print the minimum value from a given matrix.
print("The minimum value from a given matrix is:")
print(rslt)

Output:

The minimum value from a given matrix is:
3