Property Objects


Note: In Python 2, make sure that your class inherits from object (making it a new-style class) in order for all features of properties to be available.

Overriding just a getter, setter or a deleter of a property object

When you inherit from a class with a property, you can provide a new implementation for one or more of the property getter, setter or deleter functions, by referencing the property object on the parent class:

class BaseClass(object):
    def foo(self):
        return some_calculated_value()

    def foo(self, value):

class DerivedClass(BaseClass):
    def foo(self, value):

You can also add a setter or deleter where there was not one on the base class before.

Using properties without decorators

While using decorator syntax (with the @) is convenient, it also a bit concealing. You can use properties directly, without decorators. The following Python 3.x example shows this:

class A:
    p = 1234
    def getX (self):
        return self._x

    def setX (self, value):
        self._x = value
    def getY (self):
        return self._y

    def setY (self, value):
        self._y = 1000 + value    # Weird but possible
    def getY2 (self):
        return self._y

    def setY2 (self, value):
        self._y = value
    def getT    (self):
        return self._t

    def setT (self, value):
        self._t = value
    def getU (self):
        return self._u + 10000

    def setU (self, value):
        self._u = value - 5000
    x, y, y2 = property (getX, setX), property (getY, setY), property (getY2, setY2)
    t = property (getT, setT)
    u = property (getU, setU)
A.q = 5678

class B:
    def getZ (self):
        return self.z_
    def setZ (self, value):
        self.z_ = value
    z = property (getZ, setZ)
class C:
    def __init__ (self):
        self.offset = 1234

    def getW (self):
        return self.w_ + self.offset
    def setW (self, value):
        self.w_ = value - self.offset
    w = property (getW, setW)
a1 = A ()
a2 = A ()

a1.y2 = 1000
a2.y2 = 2000

a1.x = 5
a1.y = 6

a2.x = 7
a2.y = 8

a1.t = 77
a1.u = 88
print (a1.x, a1.y, a1.y2)
print (a2.x, a2.y, a2.y2)
print (a1.p, a2.p, a1.q, a2.q)

print (a1.t, a1.u)

b = B ()
c = C ()

b.z = 100100
c.z = 200200
c.w = 300300

print (a1.x, b.z, c.z, c.w)

c.w = 400400
c.z = 500500
b.z = 600600

print (a1.x, b.z, c.z, c.w)

Using the @property decorator

The @property decorator can be used to define methods in a class which act like attributes. One example where this can be useful is when exposing information which may require an initial (expensive) lookup and simple retrieval thereafter.

Given some module

class Foo(object):
    def __init__(self):
        self.__bar = None

    def bar(self):
        if self.__bar is None:
            self.__bar = some_expensive_lookup_operation()
        return self.__bar


>>> from foobar import Foo
>>> foo = Foo()
>>> print(  # This will take some time since bar is None after initialization
>>> print(  # This is much faster since bar has a value now

Using the @property decorator for read-write properties

If you want to use @property to implement custom behavior for setting and getting, use this pattern:

class Cash(object):
    def __init__(self, value):
        self.value = value
    def formatted(self):
        return '${:.2f}'.format(self.value)
    def formatted(self, new):
        self.value = float(new[1:])

To use this:

>>> wallet = Cash(2.50)
>>> print(wallet.formatted)
>>> print(wallet.value)
>>> wallet.formatted = '$123.45'
>>> print(wallet.formatted)
>>> print(wallet.value)