当我尝试使用hstack时，我想知道错误的原因是什么。我尝试了许多不同的更改，但找不到引发错误的问题的原因。
from scipy.sparse import hstack, vstack
aa = []
# the below is the output when I print my vectors from word2vec when I print it
a = [[-0.03014902 -0.01852346 0.06285909 0.02631802 0.09288044]
[-0.00310899 0.07737375 0.03548344 0.05210504 0.07760715]
[ 0.02859818 0.07507176 -0.05113295 0.09960072 -0.01029834]
[ 0.04288696 0.05407713 0.08542829 -0.07381271 0.05707014]
[ 0.08741225 -0.06715555 -0.01421211 0.08771785 -0.03598125]
[-0.06138502 0.01911862 -0.01389303 0.03253852 0.0871102 ]
[-0.09148102 0.07785938 -0.04683864 0.09430503 -0.04728664]
[-0.03338723 0.08450983 0.00142378 0.08840533 0.05170447]]
[[-0.03014902 -0.01852346 0.06285909 0.02631802 0.09288044]
[ 0.0199983 0.070786 -0.00083511 -0.07408031 0.01747499]
[ 0.04828767 0.08957508 0.0979019 0.04620161 -0.06655209]
[ 0.00585169 0.0062088 -0.05540216 -0.09653281 0.07003148]
[-0.00228108 -0.04216899 0.09433381 -0.05319278 -0.04772797]
[-0.04499546 0.09941941 -0.07890675 -0.06607837 0.07255891]
[-0.03338723 0.08450983 0.00142378 0.08840533 0.05170447]]
[[-0.03014902 -0.01852346 0.06285909 0.02631802 0.09288044]
[-0.00310899 0.07737375 0.03548344 0.05210504 0.07760715]
[ 0.02859818 0.07507176 -0.05113295 0.09960072 -0.01029834]
[ 0.04288696 0.05407713 0.08542829 -0.07381271 0.05707014]
[ 0.08741225 -0.06715555 -0.01421211 0.08771785 -0.03598125]
[-0.06138502 0.01911862 -0.01389303 0.03253852 0.0871102 ]
[-0.09148102 0.07785938 -0.04683864 0.09430503 -0.04728664]
[-0.03338723 0.08450983 0.00142378 0.08840533 0.05170447]]
[[-0.03014902 -0.01852346 0.06285909 0.02631802 0.09288044]
[ 0.0199983 0.070786 -0.00083511 -0.07408031 0.01747499]
[ 0.04828767 0.08957508 0.0979019 0.04620161 -0.06655209]
[ 0.00585169 0.0062088 -0.05540216 -0.09653281 0.07003148]
[-0.00228108 -0.04216899 0.09433381 -0.05319278 -0.04772797]
[-0.04499546 0.09941941 -0.07890675 -0.06607837 0.07255891]
[-0.03338723 0.08450983 0.00142378 0.08840533 0.05170447]]
aa.append(a)
#then it became this for aa:
b = [array([[-0.05161844, 0.09484554, -0.0807794 , 0.06945045, -0.00778284],
[-0.05966971, -0.08172162, 0.00020388, -0.02750283, 0.03688101],
[-0.08569796, -0.05902026, -0.03538166, 0.05673445, 0.06991038],
[ 0.02022025, 0.00774677, 0.06411666, 0.04324987, -0.0308816 ],
[-0.07537405, 0.05570554, 0.08752953, -0.06183487, 0.00737487],
[ 0.08216958, 0.02343195, 0.02489546, 0.09836511, -0.00924806],
[ 0.0355818 , -0.00691087, 0.04320084, -0.09490094, 0.05833766],
[-0.03666308, -0.02898009, 0.00580852, 0.09214396, 0.05430224]]), array([[-0.05161844, 0.09484554, -0.0807794 , 0.06945045, -0.00778284],
[ 0.05248339, 0.01649389, 0.0692149 , -0.07133561, -0.07755911],
[ 0.03068119, -0.09182968, -0.04452222, -0.00941208, -0.06595286],
[-0.01982791, 0.02771765, 0.01573973, -0.01602369, -0.08377324],
[ 0.0262042 , 0.08150768, -0.09958926, -0.00704867, -0.08940252],
[-0.05309275, -0.09251712, -0.04619201, 0.06917179, -0.03696068],
[-0.03666308, -0.02898009, 0.00580852, 0.09214396, 0.05430224]])]
[array([[-0.05161844, 0.09484554, -0.0807794 , 0.06945045, -0.00778284],
[-0.05966971, -0.08172162, 0.00020388, -0.02750283, 0.03688101],
[-0.08569796, -0.05902026, -0.03538166, 0.05673445, 0.06991038],
[ 0.02022025, 0.00774677, 0.06411666, 0.04324987, -0.0308816 ],
[-0.07537405, 0.05570554, 0.08752953, -0.06183487, 0.00737487],
[ 0.08216958, 0.02343195, 0.02489546, 0.09836511, -0.00924806],
[ 0.0355818 , -0.00691087, 0.04320084, -0.09490094, 0.05833766],
[-0.03666308, -0.02898009, 0.00580852, 0.09214396, 0.05430224]]), array([[-0.05161844, 0.09484554, -0.0807794 , 0.06945045, -0.00778284],
[ 0.05248339, 0.01649389, 0.0692149 , -0.07133561, -0.07755911],
[ 0.03068119, -0.09182968, -0.04452222, -0.00941208, -0.06595286],
[-0.01982791, 0.02771765, 0.01573973, -0.01602369, -0.08377324],
[ 0.0262042 , 0.08150768, -0.09958926, -0.00704867, -0.08940252],
[-0.05309275, -0.09251712, -0.04619201, 0.06917179, -0.03696068],
[-0.03666308, -0.02898009, 0.00580852, 0.09214396, 0.05430224]])]
#when I try to use hstack:
check = feature_vectors = [[] for i in range(2)]
for x, xx in enumerate(b):
check[i].append(xx)
#Here I try to use hstack but received errors
vectors = [hstack(v) for v in check]
错误：
raise ValueError('blocks must be 2-D')
ValueError：块必须为二维
有人说我可以在check [0] [0]中使用vectors = [hstack（v）表示v，但我不想更改这部分。是否有可能改变以前的零件？