In NumPy, we can compute the determinant of the given square array with the help of numpy.linalg.det(). It will take the given square array as a parameter and return the determinant of that.
Syntax: numpy.linalg.det()
Parameter: An square array.
Return: The determinant of that square array.
Example 1:
Python
import numpy as np
from numpy import linalg as LA
array1 = np.array([[ 1 , 2 ], [ 3 , 4 ]])
# Original 2-d array print (array1)
# Determinant of the said 2-D array print (np.linalg.det(array1))
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Output:
[[1 2] [3 4]] -2.0000000000000004
Example 2:
Python
import numpy as np
from numpy import linalg as LA
array1 = np.array([[ 1 , 2 , 3 ], [ 3 , 4 , 1 ], [ 3 , 2 , 1 ]])
# Original 2-d array print (array1)
# Determinant of the said 2-D array print (np.linalg.det(array1))
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Output:
[[1 2 3] [3 4 1] [3 2 1]] -15.999999999999998