要按行连接3D的numpy数组,可以使用numpy的reshape和transpose函数来实现。下面是一个示例代码:
import numpy as np
# 创建两个3D的numpy数组
arr1 = np.array([
[[1, 2, 3],
[4, 5, 6]],
[[7, 8, 9],
[10, 11, 12]]
])
arr2 = np.array([
[[13, 14, 15],
[16, 17, 18]],
[[19, 20, 21],
[22, 23, 24]]
])
# 将数组reshape为2D,其中每行表示一个3D数组
reshaped_arr1 = arr1.reshape(arr1.shape[0], -1)
reshaped_arr2 = arr2.reshape(arr2.shape[0], -1)
# 按行连接两个2D数组
result = np.concatenate((reshaped_arr1, reshaped_arr2), axis=0)
# 将结果转换回3D数组
final_result = result.reshape(arr1.shape[0] + arr2.shape[0], arr1.shape[1], arr1.shape[2])
print(final_result)
运行以上代码,输出结果为:
[[[ 1 2 3]
[ 4 5 6]]
[[ 7 8 9]
[10 11 12]]
[[13 14 15]
[16 17 18]]
[[19 20 21]
[22 23 24]]]
这样就按行连接了两个3D的numpy数组。
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