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Shallow Copy VS. Deep Copy in Python
On a website this statement is mentioned: "In case of shallow copy, a reference of object is copied in other object. It means that any changes made to a copy of object do reflect in the original object." But with my example this doesn't work old_list = [1,3,5] new_list = old_list.copy() new_list.append(8) print(old_list) print(new_list) OUTPUT: [1, 3, 5] [1, 3, 5, 8]
5 Answers
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~ swim ~
That seems to work but if I change the whole inner list then this doesn't work.
old_list = [1,3,[5,6]]
new_list = old_list.copy()
new_list[2]= [2,0]
print(old_list)
print(new_list)
OUTPUT:
[1, 3, [5, 6]]
[1, 3, [2, 0]]
Why?
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I agree with what ~ swim ~ said. In your second example, the object at index 2 in new_list is being replaced. The object itself is not modified, only the reference is lost. So new_list[2] no longer points to the same object. The address also changes, as can be checked using id().
old_list = [1,3,[5,6]]
new_list = old_list.copy()
new_list[2].append(7)
print(id(old_list[2]), id(new_list[2]))
new_list[2]= [2,0]
print(id(old_list[2]), id(new_list[2]))
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Kishalaya Saha please see this.