Python – scipy.linalg.det

scipy.linalg 包含一组用于线性代数的不同的功能。其中之一是 det() 函数。此函数用于求二阶矩阵的行列式。

语法

scipy.linalg.det(x)

其中 x 是一个方阵。

示例 1

让我们考虑以下示例 −

Open Compiler
# 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)

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输出

它将生成以下输出 −

Input Matrix :
[[8 5]
[3 4]]
Determinant Value of A: 17.0

示例 2

让我们考虑以下示例 −

Open Compiler
# 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)

输出

上述程序将生成以下输出 −

Input Matrix :
[[6 7]
[8 9]]
Determinant Value of M: -2.0000000000000053

更新于:2021-12-22

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