[英]About concatenating two vectors in python
I have a vector y
of size 4 x 1
, and another vector y2
of size 1 x 4
, I need to concatenate the vectors y
and real and imaginary parts of y2
. 我有一个向量
y
,大小为4 x 1
,另一个向量y2
,大小为1 x 4
,我需要将向量y
以及y2
实部和虚部连接起来。
The problem is that when I reshape the vector y2
into vector 4 x 1
, and then concatenate it with vector y
, it gives me an error of 'all the input array dimensions except for the concatenation axis must match exactly'
. 问题是,当我将向量
y2
为向量4 x 1
,然后将其与向量y
串联时,这给我一个错误: 'all the input array dimensions except for the concatenation axis must match exactly'
。
Here is the code I made, So Y3
is expected to be a vector of size 12 x 1
, but the last command gives an error: 这是我编写的代码,因此
Y3
应该是大小为12 x 1
的向量,但是最后一条命令给出了错误:
import numpy as np
h = np.random.randn(4, 4) + 1j * np.random.randn(4, 4)
x = np.array([[1 + 1j], [0 + 0j], [0 + 0j], [0 + 0j]])
y = h.dot(x)
n = 3
y2 = np.zeros((1, 4), dtype=np.complex)
for ii in range(n):
y2[: , ii] = np.linalg.pinv(h[: , ii].reshape(-1,1)).dot(x)
y_con = np.concatenate((np.real(y2),np.imag(y2)))
y_m = np.absolute(y)
y_con2 = y_con.reshape(8,1)
Y3 = np.concatenate((y_con2, y_m))
Y3 = np.concatenate([y_con.reshape(-1,1), y_m])
y_m为4 X 1
因此将y_con重塑为n X 1
以便逐行连接
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