I recently came across this syntax, I am unaware of the difference.
I would appreciate it if someone could tell me the difference.
I recently came across this syntax, I am unaware of the difference.
I would appreciate it if someone could tell me the difference.
==
and is
in python?is
vs ==
, or about the nature of what exactly None
is and how the behaviour differs in either context (the latter is why I ended up here). Based on the vagueness and lack of OP responses… I’m surprised this has so many upvotes. I mean… cmon… the question is not even written in the actual question…The answer is explained here.
To quote:
A class is free to implement comparison any way it chooses, and it can choose to make comparison against None mean something (which actually makes sense; if someone told you to implement the None object from scratch, how else would you get it to compare True against itself?).
Practically-speaking, there is not much difference since custom comparison operators are rare. But you should use is None
as a general rule.
class Foo: def __eq__(self,other): return True foo=Foo() print(foo==None) # True print(foo is None) # False
In this case, they are the same. None
is a singleton object (there only ever exists one None
).
is
checks to see if the object is the same object, while == just checks if they are equivalent.
For example:
p = [1] q = [1] p is q # False because they are not the same actual object p == q # True because they are equivalent
But since there is only one None
, they will always be the same, and is
will return True.
p = None q = None p is q # True because they are both pointing to the same "None"
It depends on what you are comparing to None. Some classes have custom comparison methods that treat == None
differently from is None
.
In particular the output of a == None
does not even have to be boolean !! – a frequent cause of bugs.
For a specific example take a numpy array where the ==
comparison is implemented elementwise:
import numpy as np a = np.zeros(3) # now a is array([0., 0., 0.]) a == None #compares elementwise, outputs array([False, False, False]), i.e. not boolean!!! a is None #compares object to object, outputs False
If you use numpy,
if np.zeros(3)==None: pass
will give you error when numpy does elementwise comparison