Python如何在numpy中组合两个矩阵 [英] Python how to combine two matrices in numpy

问题描述

Python 新手，在 numpy 中挣扎，希望有人能帮帮我，谢谢！

from numpy import *A = 矩阵('1.0 2.0; 3.0 4.0')B = 矩阵('5.0 6.0')C = 矩阵('1.0 2.0; 3.0 4.0; 5.0 6.0')打印 "A=",A打印 "B=",B打印 "C=",C

结果:

A= [[ 1. 2.][ 3. 4.]]B= [[ 5. 6.]]C= [[ 1. 2.][ 3. 4. ][ 5. 6.]]

问题:如何使用A和B生成C，就像在matlab中C=[A;B]?

解决方案

使用 numpy.concatenate:

<预><代码>>>>将 numpy 导入为 np>>>np.concatenate((A, B))矩阵([[ 1., 2.],[3., 4.],[5., 6.]])

new to Python, struggling in numpy, hope someone can help me, thank you!

from numpy  import *   
A = matrix('1.0 2.0; 3.0 4.0')    
B = matrix('5.0 6.0')
C = matrix('1.0 2.0; 3.0 4.0; 5.0 6.0')
print "A=",A
print "B=",B
print "C=",C

results:

A= [[ 1.  2.]
   [ 3.  4.]]
B= [[ 5.  6.]]
C= [[ 1.  2.]
   [ 3.  4.]
   [ 5.  6.]]

Question: how to use A and B to generate C, like in matlab C=[A;B]?

解决方案

Use numpy.concatenate:

>>> import numpy as np
>>> np.concatenate((A, B))
matrix([[ 1.,  2.],
        [ 3.,  4.],
        [ 5.,  6.]])

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