Scipy - Square matrix - Determinant, Eigen values and Eigen vectors

 # Scipy - Determinant of a square array

# Scipy - Eigen values and Eigen vectors

#importing the scipy and numpy packages

from scipy import linalg

import numpy as np

import random

# Creating a random 2d array object of size 3 x 3

A = np.random.randint(10, size=(2,2))

# Calculating the determinant of a square matrix

DA = linalg.det(A)

#printing the result array

print("Given square array")

print(A)

print("Determinant of the square array")

print(int(DA))

# Calling the eigen function

eig_val, eig_vect = linalg.eig(A)

# Printing the eigen values

print("Eigen values : ")

print(eig_val)

# Printing the eigen vectors

print("Eigen vectors : ")

print(eig_vect)

"""

Sample output

>python 8_6_scipy2.py

Given square array

[[0 5]

 [2 5]]

 

Determinant of the square array

-10

Eigen values :

[-1.53112887+0.j  6.53112887+0.j]

Eigen vectors :

[[-0.9561723  -0.60788018]

 [ 0.2928046  -0.79402877]]

 

"""