Numpy Copy and View | View vs Copy in Numpy | Numpy Tutorial for Beginner
Numpy Copy is also known as Deep Copy. The copy is completely a new array and copy owns the data. When we make changes to the copy it does not affect the original array, and when changes are made to the original array it does not affect the copy.
Numpy View is also known as Shallow Copy. The view is just a view of the original array and view does not own the data. When we make changes to the view it affects the original array, and when changes are made to the original array it affects the view.
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