Concat两个不同维度的数组numpy [英] Concat two arrays of different dimensions numpy
问题描述
我正在尝试连接两个numpy数组以添加额外的列:array_1
是(569, 30)
,而array_2
是(569, )
I am trying to concatenate two numpy arrays to add an extra column: array_1
is (569, 30)
and array_2
is is (569, )
combined = np.concatenate((array_1, array_2), axis=1)
我认为如果设置axis=2
可以正常工作,因此它将垂直连接.末尾应为569 x 31阵列.
I thought this would work if I set axis=2
so it will concatenate vertically. The end should should be a 569 x 31 array.
我得到的错误是ValueError: all the input arrays must have same number of dimensions
有人可以帮忙吗?
谢谢!
推荐答案
您可以使用numpy.column_stack
:
np.column_stack((array_1, array_2))
这会将1-d数组隐式转换为2-d,因此等同于@umutto注释的np.concatenate((array_1, array_2[:,None]), axis=1)
.
Which converts the 1-d array to 2-d implicitly, and thus equivalent to np.concatenate((array_1, array_2[:,None]), axis=1)
as commented by @umutto.
a = np.arange(6).reshape(2,3)
b = np.arange(2)
a
#array([[0, 1, 2],
# [3, 4, 5]])
b
#array([0, 1])
np.column_stack((a, b))
#array([[0, 1, 2, 0],
# [3, 4, 5, 1]])
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