I would like to understand how the built-in function property
works. What confuses me is that property
can also be used as a decorator, but it only takes arguments when used as a built-in function and not when used as a decorator.
This example is from the documentation:
class C: def __init__(self): self._x = None def getx(self): return self._x def setx(self, value): self._x = value def delx(self): del self._x x = property(getx, setx, delx, "I'm the 'x' property.")
property
's arguments are getx
, setx
, delx
and a doc string.
In the code below property
is used as a decorator. The object of it is the x
function, but in the code above there is no place for an object function in the arguments.
class C: def __init__(self): self._x = None @property def x(self): """I'm the 'x' property.""" return self._x @x.setter def x(self, value): self._x = value @x.deleter def x(self): del self._x
How are the x.setter
and x.deleter
decorators created in this case?
The @property is a built-in decorator for the property() function in Python. It is used to give "special" functionality to certain methods to make them act as getters, setters, or deleters when we define properties in a class.
The @property Decorator In Python, property() is a built-in function that creates and returns a property object. The syntax of this function is: property(fget=None, fset=None, fdel=None, doc=None) where, fget is function to get value of the attribute. fset is function to set value of the attribute.
A decorator in Python is a function that takes another function as its argument, and returns yet another function . Decorators can be extremely useful as they allow the extension of an existing function, without any modification to the original function source code.
The property decorator is implemented with a pattern similar to the my_decorator function. Using the Python @decorator syntax, it receives the decorated function as an argument, just like in my example: some_func_decorated = my_decorator(some_func) . Note that I changed some function names for clarity.
The property()
function returns a special descriptor object:
>>> property() <property object at 0x10ff07940>
It is this object that has extra methods:
>>> property().getter <built-in method getter of property object at 0x10ff07998> >>> property().setter <built-in method setter of property object at 0x10ff07940> >>> property().deleter <built-in method deleter of property object at 0x10ff07998>
These act as decorators too. They return a new property object:
>>> property().getter(None) <property object at 0x10ff079f0>
that is a copy of the old object, but with one of the functions replaced.
Remember, that the @decorator
syntax is just syntactic sugar; the syntax:
@property def foo(self): return self._foo
really means the same thing as
def foo(self): return self._foo foo = property(foo)
so foo
the function is replaced by property(foo)
, which we saw above is a special object. Then when you use @foo.setter()
, what you are doing is call that property().setter
method I showed you above, which returns a new copy of the property, but this time with the setter function replaced with the decorated method.
The following sequence also creates a full-on property, by using those decorator methods.
First we create some functions and a property
object with just a getter:
>>> def getter(self): print('Get!') ... >>> def setter(self, value): print('Set to {!r}!'.format(value)) ... >>> def deleter(self): print('Delete!') ... >>> prop = property(getter) >>> prop.fget is getter True >>> prop.fset is None True >>> prop.fdel is None True
Next we use the .setter()
method to add a setter:
>>> prop = prop.setter(setter) >>> prop.fget is getter True >>> prop.fset is setter True >>> prop.fdel is None True
Last we add a deleter with the .deleter()
method:
>>> prop = prop.deleter(deleter) >>> prop.fget is getter True >>> prop.fset is setter True >>> prop.fdel is deleter True
Last but not least, the property
object acts as a descriptor object, so it has .__get__()
, .__set__()
and .__delete__()
methods to hook into instance attribute getting, setting and deleting:
>>> class Foo: pass ... >>> prop.__get__(Foo(), Foo) Get! >>> prop.__set__(Foo(), 'bar') Set to 'bar'! >>> prop.__delete__(Foo()) Delete!
The Descriptor Howto includes a pure Python sample implementation of the property()
type:
class Property: "Emulate PyProperty_Type() in Objects/descrobject.c" def __init__(self, fget=None, fset=None, fdel=None, doc=None): self.fget = fget self.fset = fset self.fdel = fdel if doc is None and fget is not None: doc = fget.__doc__ self.__doc__ = doc def __get__(self, obj, objtype=None): if obj is None: return self if self.fget is None: raise AttributeError("unreadable attribute") return self.fget(obj) def __set__(self, obj, value): if self.fset is None: raise AttributeError("can't set attribute") self.fset(obj, value) def __delete__(self, obj): if self.fdel is None: raise AttributeError("can't delete attribute") self.fdel(obj) def getter(self, fget): return type(self)(fget, self.fset, self.fdel, self.__doc__) def setter(self, fset): return type(self)(self.fget, fset, self.fdel, self.__doc__) def deleter(self, fdel): return type(self)(self.fget, self.fset, fdel, self.__doc__)
Documentation says it's just a shortcut for creating readonly properties. So
@property def x(self): return self._x
is equivalent to
def getx(self): return self._x x = property(getx)
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