Numpy Array Copy Vs View - Numpy For Machine Learning 4

In this video we'll look at Copy vs. View for Numpy Arrays.

There are a couple of ways to make copies of your Numpy Arrays. You can make a Copy or a View.

A Copy is a totally separate copy, whereas a View is a copy that's still connected to the original.

If you make a change to the original, that change will reflect in the view and if you make a change to the view, that change will reflect in the original.

#numpy #codemy #JohnElder

Timecodes

0:00​​ - Introduction
1:00 - Create a Numpy Array
1:13 - Create a Numpy Array View
1:49 - Make a Change To The Original Numpy Array
3:22 - Create a Numpy Array Copy
3:33 - Make a Change To The Original Numpy Array
4:21 - Make a Change To The Numpy Array Copy
5:29 - Conclusion

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[ShukyPersky]

The view creates another reference to the array. same is achieved by the assignment array_a = array_b
then any change to either array will affect the one since both refer the same data in memory

[antareeproy]

So, the view( ) creates an array whose elements are always pointing at the elements of the original array??

[chandraprakash]

This is amazing ! Thank you very much :)

[emirbahrin]

how do you type in the italic f inside the print(f'Original NP1 {np1}' ?

[ErenMC_]

Simple,
Copy - Call by Value
View - Call by reference

[Birb_Is_The_Word]

What the difference between np2 = np1.view() and np2 = np1?😅

[AbdallahAnalyst]

sir is this playlist really enough for ML ?

[toufikazmou]

hi john, i want some help to build kivy app (i have the app ready)

[jash]

Sir, make a video to upload & retrieve images in database and display images on tkinter GUI window !!!!

[gedtoon]

I think it is very confusing to refer to a view as "a copy connected to the original array". It would be better to refer to it as an alias for the the original array.

[manas]

that means if np1 is view of np2 then np2 is also of np1