Python 连接两个不同维度的数组numpy
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Concat two arrays of different dimensions numpy
提问by Trung Tran
I am trying to concatenate two numpy arrays to add an extra column: array_1is (569, 30)and array_2is is (569, )
我正在尝试连接两个 numpy 数组以添加一个额外的列：array_1is(569, 30)和array_2is(569, )
combined = np.concatenate((array_1, array_2), axis=1)
combined = np.concatenate((array_1, array_2), axis=1)
I thought this would work if I set axis=2so it will concatenate vertically. The end should should be a 569 x 31 array.
我认为如果我设置axis=2它会起作用，它会垂直连接。最后应该是一个 569 x 31 的数组。
The error I get is ValueError: all the input arrays must have same number of dimensions
我得到的错误是 ValueError: all the input arrays must have same number of dimensions
Can someone help?
有人可以帮忙吗？
Thx!
谢谢！
回答by Psidom
You can use numpy.column_stack:
您可以使用numpy.column_stack：
np.column_stack((array_1, array_2))
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.
np.concatenate((array_1, array_2[:,None]), axis=1)它将一维数组隐式转换为二维数组，因此等效于@umutto 的评论。
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]])
回答by Darshil Shah
You can simply use numpy's hstackfunction.
您可以简单地使用numpy的hstack功能。
e.g.
例如
import numpy as np
combined = np.hstack((array1,array2))
