July 2019
Intermediate to advanced
365 pages
8h 13m
Chinese
Content preview from Python机器学习手册：从数据预处理到深度学习
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14
｜
第
1
章
向量、矩阵和数组
延伸阅读
y
《矩阵的秩》（
CliffsNotes
，
http://bit.ly/2HUzkMs
）
1.13
计算行列式
问题描述
计算一个矩阵的行列式。
解决方案
使用
NumPy
的线性代数方法
det
：
#
加载库
import numpy as np
#
创建一个矩阵
matrix = np.array([[1, 2, 3],
[2, 4, 6],
[3, 8, 9]])
#
返回矩阵的行列式
np.linalg.det(matrix)
0.0
讨论
有时候矩阵的行列式是很有用的，使用
NumPy
的
det
能很容易地计算出矩阵的行列式。
延伸阅读
y
《线性代数的本质》，第
5
章“行列式”（
3Blue1Brown
，
http:// bit.ly/2FA6ToM
）
y
行列式（
Wolfram MathWorld
，
http://bit.ly/2FxSUzC
）
1.14
获取矩阵的对角线元素
问题描述
获取矩阵的对角线元素。
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and much more.
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