np.concatenate()函数数组序列参数的实现

import numpy as np

x = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
y = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])

z = np.concatenate(x, y)

print(z)
"""
result:
Traceback (most recent call last):
  File "D:/python/scientificCalculation/Interference/dug.py", line 14, in <module>
    z = np.concatenate(x, y)
  File "<__array_function__ internals>", line 5, in concatenate
TypeError: only integer scalar arrays can be converted to a scalar index
"""

import numpy as np

x = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
y = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])

z = np.concatenate((x, y))

print(z)
"""
result:
[[[1 2]
  [3 4]]

 [[5 6]
  [7 8]]

 [[1 2]
  [3 4]]

 [[5 6]
  [7 8]]]
"""

import numpy as np

x = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
y = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])

z = np.concatenate([x, y])

print(z)
"""
result:
[[[1 2]
  [3 4]]

 [[5 6]
  [7 8]]

 [[1 2]
  [3 4]]

 [[5 6]
  [7 8]]]
"""