Reputation: 359
I made this class that computes some operations for 3d vectors, is there anyway I can change the code so that it computes the same operations but for vectors of any dimension n?
import sys
class Vector:
def __init__(self,x,y,z):
self.x= x
self.y= y
self.z= z
def __repr__(self):
return "(%f,%f,%f)"%(self.x,self.y,self.z)
def __add__(self,other):
return (self.x+other.x,self.y+other.y,self.z+other.z)
def __sub__(self,other):
return (self.x-other.x,self.y-other.y,self.z-other.z)
def __norm__(self):
return (self.x**2+self.y**2+self.z**2)**0.5
def escalar(self,other):
return (self.x*other.x+self.y*other.y+self.z*other.z)
def __mod__(self,other):
return (self.x%other.x,self.y%other.y,self.z%other.z)
def __neg__(self):
return (-self.x,-self.y,-self.z)
Upvotes: 0
Views: 237
Reputation: 16827
As an example, for a n dimensional vector, something like
class Vector:
def __init__(self, components):
self.components = components # components should be a list
def __add__(self, other):
assert len(other.components) == len(self.components)
added_components = []
for i in range(len(self.components)):
added_components.append(self.components[i] + other.components[i])
return Vector(added_components)
def dimensions(self):
return len(self.components)
would be possible. Note that the __add__
override returns a new Vector
instance, not a tuple
as in your case. Then adapt your other methods likewise.
There are more 'clever' ways of adding elements from two lists, into a third. You should really not do it this way if performance is an issue though (or in any other case but an exercise, IMO). Look into numpy.
Upvotes: 2
Reputation: 2821
Use a list to store the coefficients rather than explicit variables. For negating, adding, subtracting etc. you just iterate over the lists.
In terms of initialisation, you need to use *args
for the input. Have a look at this post for an explanation of how it works: https://stackoverflow.com/a/3394898/1178052
Upvotes: 0