numpy创建矩阵常用方法 arange+reshape in: n = np.arange(0, 30, 2)# start at 0 count up by 2, stop before 30 n = n.reshape(3, 5) # reshape array to be 3x5 1 2 out: linspace+resize in: o = np.linspace(0, 4, 9) o.resize(3, 3) 1 2 out: notice:reshape与resize区别 one…
import numpy as np #https://www.cnblogs.com/xzcfightingup/p/7598293.html a = np.zeros((2,3),dtype=int) a = np.ones((2,3),dtype=int) a = np.eye(3)#3维单位矩阵 a = np.empty([2,3],dtype=int) a = np.random.randint(0, 10, (4,3)) y = np.array([4, 5, 6]) np.diag…
矩阵(Matrix)和数组(Array)的区别主要有以下两点: 矩阵只能为2维的,而数组可以是任意维度的. 矩阵和数组在数学运算上会有不同的结构. 代码展示 1.矩阵的创建 采用mat函数创建矩阵 class numpy.mat(data, dtype=None) (注释:Unlike matrix, asmatrix does not make a copy if the input is already a matrix or an ndarray. Equivalent to matrix…