>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b')
array([[[0, 4],
        [2, 6]],
       [[1, 5],
        [3, 7]]], dtype=int8)
>>> ctypes.string_at(np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b').ctypes.data, 8)  # .data.tobytes() doesn't work properly
b'\x00\x04\x02\x06\x01\x05\x03\x07'
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b').__array_interface__
{'data': (23426096, False), 'strides': None, 'descr': [('', '|i1')], 'typestr': '|i1', 'shape': (2, 2, 2), 'version': 3}
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b').flags
  C_CONTIGUOUS : True
  F_CONTIGUOUS : False
  OWNDATA : True
  WRITEABLE : True
  ALIGNED : True
  WRITEBACKIFCOPY : False
  UPDATEIFCOPY : False

>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F')
array([[[0, 4],
        [2, 6]],
       [[1, 5],
        [3, 7]]], dtype=int8)
>>> ctypes.string_at(np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F').ctypes.data, 8)
b'\x00\x01\x02\x03\x04\x05\x06\x07'
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F').__array_interface__
{'data': (23304720, False), 'strides': (1, 2, 4), 'descr': [('', '|i1')], 'typestr': '|i1', 'shape': (2, 2, 2), 'version': 3}
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F').flags
  C_CONTIGUOUS : False
  F_CONTIGUOUS : True  # `order` does not configure it directly; it is just computed from the current shape and strides
  OWNDATA : True
  WRITEABLE : True
  ALIGNED : True
  WRITEBACKIFCOPY : False
  UPDATEIFCOPY : False

>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F').T
array([[[0, 1],
        [2, 3]],

       [[4, 5],
        [6, 7]]], dtype=int8)
>>> ctypes.string_at(np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F').T.ctypes.data, 8)
b'\x00\x01\x02\x03\x04\x05\x06\x07'
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F').T.__array_interface__
{'data': (23426096, False), 'strides': None, 'descr': [('', '|i1')], 'typestr': '|i1', 'shape': (2, 2, 2), 'version': 3}
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b', order='F').T.flags
  C_CONTIGUOUS : True
  F_CONTIGUOUS : False
  OWNDATA : False
  WRITEABLE : True
  ALIGNED : True
  WRITEBACKIFCOPY : False
  UPDATEIFCOPY : False