I'm working through Udacity and Dave Evans introduced an exercise about list properties
list1 = [1,2,3,4]
list2 = [1,2,3,4]
list1=list1+[6]
print(list1)
list2.append(6)
print(list2)
list1 = [1,2,3,4]
list2 = [1,2,3,4]
def proc(mylist):
mylist = mylist + [6]
def proc2(mylist):
mylist.append(6)
# Can you explain the results given by the four print statements below? Remove
# the hashes # and run the code to check.
print (list1)
proc(list1)
print (list1)
print (list2)
proc2(list2)
print (list2)
The output is
[1, 2, 3, 4, 6]
[1, 2, 3, 4, 6]
[1, 2, 3, 4]
[1, 2, 3, 4]
[1, 2, 3, 4]
[1, 2, 3, 4, 6]
So in a function the adding a 6 to the set doesn't show but it does when not in a function?
So in a function the adding a 6 to the set doesn't show but it does when not in a function?
No, that is not what happens.
What happens is that, when you execute mylist = mylist + [6]
, you are effectively creating an entirely new list and putting it in the local mylist
variable. This mylist
variable will vanish after the execution of the function and the newly created list will vanish as well.
OTOH when you execute mylist.append(6)
you do not create a new list. You get the list already in the mylist
variable and add a new element to this same list. The result is that the list (which is pointed by list2
too) will be altered itself. The mylist
variable will vanish again, but in tis case you altered the original list.
Let us see if a more visual explanation can help you :)
proc()
When you write list1 = [1, 2, 3, 4, 5]
you are creating a new list object (at the right side of the equals sign) and creating a new variable, list1
, which will point to this object.
Then, when you call proc()
, you create another new variable, mylist
, and since you pass list1
as parameter, mylist
will point to the same object:
However, the operation mylist + [6]
creates a whole new list object whose contents are the contents of the object pointed by mylist
plus the content of the following list object - that is, [6]
. Since you attribute this new object to mylist
, our scenario changes a bit and mylist
does not point to the same object pointed by list1
anymore:
What I have not said is that mylist
is a local variable: it will disappear after the end of the proc()
function. So, when the proc()
execution ended, the mylist
is gone:
Since no other variable points to the object generated by mylist + [6]
, it will disappear, too (since the garbage collector* will collect it):
Note that, in the end, the object pointed by list1
is not changed.
proc2()
Everything changes when you call proc2()
. At first, it is the same thing: you create a list...
...and pass it as a parameter to a function, which will generate a local variable:
However, instead of using the +
concatenation operator, which generates a new list, you apply the append()
method to the existing list. The append()
method does not create a new object; instead, it _changes the existing one:
After the end of the function, the local variable will disappear, but the original object pointed by it and by list1
will be already altered:
Since it is still pointed by list1
, the original list is not destroyed.
EDIT: if you want to take a look at all this stuff happening before your eyes just go to this radically amazing simulator:
* If you do not know what is garbage collector... well, you will discover soon after understanding your own question.
Variables in python can always be thought of as references. When you call a function with an argument, you are passing in a reference to the actual data.
When you use the assignment operator (=
), you're assigning that name to refer to an entirely new object. So, mylist = mylist + [6]
creates a new list containing the old contents of mylist, as well as 6, and assigns the variable mylist to refer to the new list. list1 is still pointing to the old list, so nothing changes.
On the other hand, when you use .append, that is actually appending an element to the list that the variable refers to - it is not assigning anything new to the variable. So your second function modifies the list that list2 refers to.
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