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Numpy Copy and View | View vs Copy in Numpy | Numpy Tutorial for Beginner

Numpy Copy and View | View vs Copy in Numpy | Numpy Tutorial for Beginner

welcome to raigurukul.com in this video well  show you how to use numpy array copy versus view so well discuss here what is numpy array copy  and view and how we can use it programmatically so if youre notification and looking forward to  see amazing video like this consider subscribing and pressing bell icon for further updates lets  begin with numpy and the differences between copy and view the main difference between a copy  and view is an array that the copy new array means it will create a new array after copying  from the privation or with the existing data and the view function is used for the showing  or presenting perspective the copy owns the data and any changes made to the copy will not affect  the originals so it means if we have a string of deeper and we want to cheat change the page string  or with the copied string so it will not going to affect or for the previous original string or p  string but when we want to a view it does not only tag and any changes made to the original piece is  going to be reflect here means the changes will be reflected in output so well see here how to show  it off here so for this we want to import num py as n key and here i am going to declare an  array so l equal to e equal to n key dot array and in this i am going to declare the array 2 3 5 7 and 9. now this is array if i want to copy  into some variable then y equal to a dot copy and then inside the array if i want to make the  changes e in this on first position then equal to 23 then if i want to print this array print and then a and finally if i want to print into y lets see whats the result will look like  this now you can see we have made changes in the uh after the copy then also the copy string is  printed with the exactly same array it means there is no changes has been done here and if we want  to print why is it available without any changes means copy will render the data or change the data  accordingly now if i want to view so make a view change the oil array and display both the arrays  so lets see if i want to change into view so view is running here now you can see its  reflected with both the array at the same syntax in the copy if you see in the difference theres a  copy method is just copied and the changes are not reflected to the copied content but in view the  changes are also reflected in the view section so this is the major difference here if  i want to make a changes in the view and the display both the errors if an error owns its  data array owns his data then printing the value of piece attribute to check if an array owns  his theta or not so here i am going to declare e equal to this is an array and i am not  changing any of the data here so j equal to e dot copy now i want to print both the array so y dot base and j dot base let me run this now you can  see for the copy it returns none and for the view it returns the exact value so this is how  we can specify that it the copy does not once delete up but view has owns the the original  returns original array this is how we can use copy and view in numpy hope you liked it  if you really enjoyed the session consider subscribing and pressing bell icon for  more updates thank you for watching

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