python numpy 二维数组

数组创建

https://www.runoob.com/numpy/numpy-array-creation.html

x=np.empty([3,2],dtype = int)

创建二维数组

nx=np.size(xMon,1)
ny=np.size(yMon,1)
corr=[[0 for j in range(nx)] for i in range(ny)]

相比 List，NumPy 数组的优势

https://zhuanlan.zhihu.com/p/88197389

Python数组操作将一维数组变成二维数组

https://www.cnblogs.com/future-dream/p/10890641.html

ECratio=np.hstack((ECMon,temps0.reshape(-1,1)))

ndarray object of numpy module转换为array格式

y = np.asarray(y,'int64')

https://blog.youkuaiyun.com/qq_34840129/article/details/91353596

删除指定行

indL0=[i*12+1 for i in temp0]
Lraw0=np.delete(Lraw,indL0,axis=0)

矩阵乘法

https://blog.youkuaiyun.com/cqk0100/article/details/76221749

np.dot

np.dot(EeigenVector[0,:],Enorm[0,:].T)

Python求二维数组中某列的最大值

https://www.cnblogs.com/ZhengPeng7/p/7425937.html 

 a=np.amax(data2002,axis=0)

amax 介绍

https://www.cjavapy.com/article/1083/

最大值所在的位置

https://blog.youkuaiyun.com/li1367356/article/details/76232411

Numpy判断数组是否相等

https://blog.youkuaiyun.com/qq_34159047/article/details/107128022

Python中numpy数组的拼接、合并 

https://blog.youkuaiyun.com/qq_39516859/article/details/80666070

np.hstack()

rank 1 变为数组

z=Enorm[:,0]

zz=z.reshape(-1,1)