Explain in detail the symbol in python array... and the difference between: symbol

I don't know if you have ever seen the use of... symbol in python array, because I encountered this symbol when reading other people's code some time ago, so I hereby record 1. Let's look at one piece of code first:

import numpy as np

x = np.array([[1, 3],
       [5, 6],
       [8, 10]])

print(" Use '...' The result of the symbol is: ")
print(x[..., 0])
print(" Use ':' The result of the symbol is: ")
print(x[:, 0])
"""
 Use '...' The result of the symbol is: 
[1 5 8]
 Use ':' The result of the symbol is: 
[1 5 8]
"""

Comparing the results, it is not difficult to find that it can be concluded that in python array, the function of... symbol is equivalent to: symbol. But is this really the case? The answer is no. Let's look at the case of 3-dimensional arrays.

import numpy as np

x = np.array([[[0, 1],
        [2, 3]],
       [[4, 5],
        [5, 6]],
       [[7, 8],
        [9, 10]]])
      
print(" Use '...' The result of the symbol is: ")
print(x[..., 0])
print(" Use two ':' The result of the symbol is: ")
print(x[:, :, 1])
print(" Use 1 A ':' The result of the symbol is: ")
print(x[:, 1])
"""
 Use '...' The result of the symbol is: 
[[0 2]
 [4 5]
 [7 9]]
 Use two ':' The result of the symbol is: 
[[ 1 3]
 [ 5 6]
 [ 8 10]]
 Use 1 A ':' The result of the symbol is: 
[[ 2 3]
 [ 5 6]
 [ 9 10]]
 """

We can see that the result of using the symbol... is the same as the result of using two: symbols, but it is different from the result of using a single: symbol. So we can get that symbols... are not exactly equivalent to symbols:.

Conclusion: For 2-dimensional arrays, the symbol... is equivalent to the symbol:, but for 3-dimensional arrays, it is not equal, considering the specific situation.