I need to extend the Networkx python package and add a few methods to the Graph
class for my particular need
The way I thought about doing this is simplying deriving a new class say NewGraph
, and adding the required methods.
However there are several other functions in networkx which create and return Graph
objects (e.g. generate a random graph). I now need to turn these Graph
objects into NewGraph
objects so that I can use my new methods.
What is the best way of doing this? Or should I be tackling the problem in a completely different manner?
If you are just adding behavior, and not depending on additional instance values, you can assign to the object's __class__
:
from math import pi
class Circle(object):
def __init__(self, radius):
self.radius = radius
def area(self):
return pi * self.radius**2
class CirclePlus(Circle):
def diameter(self):
return self.radius*2
def circumference(self):
return self.radius*2*pi
c = Circle(10)
print c.radius
print c.area()
print repr(c)
c.__class__ = CirclePlus
print c.diameter()
print c.circumference()
print repr(c)
Prints:
10
314.159265359
<__main__.Circle object at 0x00A0E270>
20
62.8318530718
<__main__.CirclePlus object at 0x00A0E270>
This is as close to a "cast" as you can get in Python, and like casting in C, it is not to be done without giving the matter some thought. I've posted a fairly limited example, but if you can stay within the constraints (just add behavior, no new instance vars), then this might help address your problem.