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Python – scipy.linalg.det
The scipy.linalg package contains a set of different functionalities that are used for Linear Algebra. One of them is the det() function. This function is used to find the determinant of a two-dimensional matrix.
Syntax
scipy.linalg.det(x)
Where x is a square matrix.
Example 1
Let us consider the following example −
# Importing the required libraries from scipy import linalg import numpy as np # Initialize the matrix A A = np.array([[8, 5], [3, 4]]) print("Input Matrix :
", A) # Find the determinant of matrix X x = linalg.det(A) print("Determinant Value of A:", x)
Output
It will generate the following output −
Input Matrix : [[8 5] [3 4]] Determinant Value of A: 17.0
Example 2
Let us consider the following example −
# Importing the required libraries from scipy import linalg import numpy as np # Initializing the matrix M M = np.arange(6, 10).reshape(2, 2) print("Input Matrix :
", M) # Finding the determinant of matrix X x = linalg.det(M) print("Determinant Value of M:", x)
Output
The above program will generate the following output −
Input Matrix : [[6 7] [8 9]] Determinant Value of M: -2.0000000000000053
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