Comprensión de matrices tridimensionales

a = np.array([[[90.0, 98.0, 102.0]]])
a.shape
# (1,1,3)
a.size
# 3
b = np.ones((3,3,3))
print(b)
[[[1. 1. 1.]
  [1. 1. 1.]
  [1. 1. 1.]]

 [[1. 1. 1.]
  [1. 1. 1.]
  [1. 1. 1.]]

 [[1. 1. 1.]
  [1. 1. 1.]
  [1. 1. 1.]]]
c = np.ones((1,1,3))
print(c)
[[[1. 1. 1.]]]
d = np.ones((3,3,1))
print(d)
[[[1.]
  [1.]
  [1.]]

 [[1.]
  [1.]
  [1.]]

 [[1.]
  [1.]
  [1.]]]
e = np.ones((1,3,1))
print(e)
[[[1.]
  [1.]
  [1.]]]
f = np.ones((1,1,1))
print(f)
[[[1.]]]
g = np.ones((1,1,3))
print(g)
[[[1. 1. 1.]]]

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Origin blog.csdn.net/Yang_4881002/article/details/129922122
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