+ 3
why the second def dont work?
i tried this.. def f_a(my_list,i): my_list[i]=0 def f_b(my_list, i): my_list=[i] lst=[1,2,3,4] f_a(lst,1) f_b(lst,2) print ( lst ) ... i got [1,0,3,4] ; why i didn't got just [2]?
6 Réponses
+ 1
Exactly, that's why the output of Merts code is "false".
You can print the ids in different places of the code to gain more insight:
https://code.sololearn.com/co902AUy51P5/?ref=app
You see that the ids are always the same like in the main scope, but different if you set something new to the same variable name (i.e. another address is reserved for this and if you want to use it, you would return it from the function)
+ 7
Use "my_list[:] = [i]"
f_b doesn't work because it creates a list and overrides lst reference(?)
You will probably understand it if you run this code:
def f_b(my_list, i):
id1 = id(my_list)
my_list=[i]
print(id(my_list) == id1)
lst = [1, 2, 3, 4]
f_b(lst,2)
and I think your question is similar to this: https://stackoverflow.com/questions/850795/different-ways-of-clearing-lists
+ 2
It works, put a print(my_list) in your second def. I think part of the list is mutable, but not the whole list.
+ 2
sama baluom
As Mert Yazıcı already tried to show with his code: If you write my_list = something it has a different id, i.e. a new object is created.
It lives on another memory address.
While in-place operations like in f_a or if you write my_list[:] it will operate on the object of the original address.
0
thank you !, that worked, but..why? i thought it should print lst first that is [1,0,3,4] then print [2]..
0
got it 🙃 it don't has same id like the list in f_a right? and thank you