How to Calculate the determinant of a matrix using NumPy?

Python | Numpy np.eigvals() method

Last Updated : 03 Nov, 2019

With the help of np.eigvals() method, we can get the eigen values of a matrix by using np.eigvals() method.

Syntax : np.eigvals(matrix) Return : Return the eigen values of a matrix.

Example #1 : In this example we can see that by using np.eigvals() method, we are able to get the eigen values of a matrix by using this method.

Python3 1=1

# import numpy
from numpy import linalg as LA

# using np.eigvals() method
gfg = LA.eigvals([[1, 2], [3, 4]])

print(gfg)

Output :

[-0.37228132 5.37228132]

Example #2 :

Python3 1=1

# import numpy
from numpy import linalg as LA

# using np.eigvals() method
gfg = LA.eigvals([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

print(gfg)

Output :

[ 1.61168440e+01 -1.11684397e+00 -1.30367773e-15]

How to Calculate the determinant of a matrix using NumPy?

Jitender_1998

Improve

Article Tags :

Practice Tags :

python

Python | Numpy np.eigvals() method

Similar Reads

Introduction

Creating NumPy Array

NumPy Array Manipulation

Matrix in NumPy

Operations on NumPy Array

Reshaping NumPy Array

Indexing NumPy Array

Arithmetic operations on NumPyArray

Linear Algebra in NumPy Array

Thank You!

What kind of Experience do you want to share?