Maybe a bit of example code will help: Notice the difference in the call signatures of foo
, class_foo
and static_foo
:
class A(object):
def foo(self, x):
print(f"executing foo({self}, {x})")
@classmethod
def class_foo(cls, x):
print(f"executing class_foo({cls}, {x})")
@staticmethod
def static_foo(x):
print(f"executing static_foo({x})")
a = A()
Below is the usual way an object instance calls a method. The object instance, a
, is implicitly passed as the first argument.
a.foo(1)
# executing foo(<__main__.A object at 0xb7dbef0c>, 1)
With classmethods, the class of the object instance is implicitly passed as the first argument instead of self
.
a.class_foo(1)
# executing class_foo(<class '__main__.A'>, 1)
You can also call class_foo
using the class. In fact, if you define something to be
a classmethod, it is probably because you intend to call it from the class rather than from a class instance. A.foo(1)
would have raised a TypeError, but A.class_foo(1)
works just fine:
A.class_foo(1)
# executing class_foo(<class '__main__.A'>, 1)
One use people have found for class methods is to create inheritable alternative constructors.
With staticmethods, neither self
(the object instance) nor cls
(the class) is implicitly passed as the first argument. They behave like plain functions except that you can call them from an instance or the class:
a.static_foo(1)
# executing static_foo(1)
A.static_foo('hi')
# executing static_foo(hi)
Staticmethods are used to group functions which have some logical connection with a class to the class.
foo
is just a function, but when you call a.foo
you don't just get the function,
you get a "partially applied" version of the function with the object instance a
bound as the first argument to the function. foo
expects 2 arguments, while a.foo
only expects 1 argument.
a
is bound to foo
. That is what is meant by the term "bound" below:
print(a.foo)
# <bound method A.foo of <__main__.A object at 0xb7d52f0c>>
With a.class_foo
, a
is not bound to class_foo
, rather the class A
is bound to class_foo
.
print(a.class_foo)
# <bound method type.class_foo of <class '__main__.A'>>
Here, with a staticmethod, even though it is a method, a.static_foo
just returns
a good 'ole function with no arguments bound. static_foo
expects 1 argument, and
a.static_foo
expects 1 argument too.
print(a.static_foo)
# <function static_foo at 0xb7d479cc>
And of course the same thing happens when you call static_foo
with the class A
instead.
print(A.static_foo)
# <function static_foo at 0xb7d479cc>
Best Solution
Abstraction
Imagine a fraction class:
Now two objects of that:
Both objects have the value 1:
(1/1) == (-1)/(-1)
. You wouldn't expect they behave any different to the outside. That's abstraction. You abstract the data your object holds into a logical view, even tho behind the scenes, there are other things. Theoretically, you have got a equivalence relation, with different equivalence groups:And there is a abstraction function that abstracts the internal details to the outside:
It maps from concrete values to the abstract values of an object. You do that by writing for example a constructor mapping (-1, -1) to (1, 1) and by writing a equals function for your class.
Polymorphism
Imagine a pen and two derived classes:
Both pens can draw. your general "pen" cannot draw itself. It's just an interface to pen_thin, pen_thick and lots of other pens. You say: obj1.draw(1, 0); and whether obj1 is a thick or a thin pen doesn't matter to you as a user, neither to the compiler at compile time. The call behaves polymorphic. It's dynamic polymorphism (happens at runtime) and that's what people usually mean. Static Polymorphism happens at compile time:
That's called overloading. You call
obj.colorize(something)
. If you call it with a shirt reference, it will call the version taking a shirt. And if you call it with a pant reference, it will call the pants version. The choice done here is at compile-time.