如何合并两个行数相同但列数不同的 numpy 数组

Question

给定这两个 numpy 数组：

# Two 2-dim arrays with same row number but differnt column

a1 = np.array([[9,9,9,9], [9,9,9,9],[9,9,9,9]], dtype=np.int64)

a2 = np.array([[3],[3],[3]], dtype=np.int64)

如何将这些数组合并到数组 2 创建第三个数组，如下所示：

# Third array with same row numbers as above two arrays but its column number is the sum of column numbers of the above two arrays

[[9,9,9,9,3],

 [9,9,9,9,3],

 [9,9,9,9,3]]

简单来说，如何将列连接到二维数组？

Answer 1

import numpy as npa1 = np.array([[9,9,9,9], [9,9,9,9],[9,9,9,9]])a2 = np.array([[3],[3],[3]])print(np.concatenate((a1, a2), axis=1))https://docs.scipy.org/doc/numpy/reference/generated/numpy.concatenate.htmlJoin a sequence of arrays along an existing axis.