python - 加入两个 numpy 矩阵

Question

如果您有两个 numpy 矩阵，您如何将它们合并为一个？它们应该水平连接，这样

[[0]         [1]               [[0][1]
 [1]     +   [0]         =      [1][0]
 [4]         [1]                [4][1]
 [0]]        [1]]               [0][1]]

例如，使用这些矩阵：

>>type(X)
>>type(Y)
>>X.shape
>>Y.shape
<class 'numpy.matrixlib.defmatrix.matrix'>
<class 'numpy.matrixlib.defmatrix.matrix'>
(53, 1)
(53, 1)

我试过 hstack 但得到一个错误：

>>Z = hstack([X,Y])

Traceback (most recent call last):
  File "labels.py", line 85, in <module>
    Z = hstack([X, Y])
  File "C:\Python27\lib\site-packages\scipy\sparse\construct.py", line 263, in h
stack
    return bmat([blocks], format=format, dtype=dtype)
  File "C:\Python27\lib\site-packages\scipy\sparse\construct.py", line 329, in b
mat
    raise ValueError('blocks must have rank 2')
ValueError: blocks must have rank 2

Answer 1

从回溯来看，似乎您已经完成from scipy.sparse import *或类似的事情，因此numpy.hstack被scipy.sparse.hstack. numpy.hstack工作正常：

>>> X = np.matrix([[0, 1, 4, 0]]).T
>>> Y = np.matrix([[1, 0, 1, 1]]).T
>>> np.hstack([X, Y])
matrix([[0, 1],
        [1, 0],
        [4, 1],
        [0, 1]])