python shallow copy and deep copy

1.a = b b of id is copied to b, and a and b are the same object

1 import numpy as np
2 
3 a = np.arange(5)
4 print(a)
5 b = a
6 print(id(a))
7 print(id(b))

The results can be seen by running the diagram, a is equal to b of id id, with a pointed object.

 

2. b = a.view () is a shallow copy, b and a are different objects, but they are shared elements

1 import numpy as np
2 
3 a = np.arange(5)
4 print(a)
5 b = a.view()
6 print(id(a))
7 print(id(b))
8 b[0] = -1
9 print(a)

The results can be seen by running the following figure, a and b are different objects, but when I change a time element, b element also changed. '

 

3.b = a.copy () is a deep copy, b of the element is a copy of the