I'm trying to implement a simulation for a lattice model (lattice boltzmann) in Python. Each site of the lattice has a number of properties, and interact with neighboring sites according to certain rules. I figured that it might be clever to make a class with all the properties and make a grid of instances of that class. (As I'm inexperienced with Python, this might not be a good idea at all, so feel free to comment on my approach.) Here is a toy example of what I'm doing class site: def __init__(self,a,...): self.a = a .... other properties ... def set_a(self, new_a): self.a = new_a Now I want to deal with a 2D/3D lattice (grid) of such sites so I tried to do the following (here is a 2D 3x3 grid as an example, but in simulation I would need the order of >1000x1000X1000) lattice = np.empty( (3,3), dtype=object) lattice[:,:] = site(3) Now, the problem is that each lattice point refer to the same instance, for example lattice[0,0].set_a(5) will also set the value of lattice[0,2].a to 5. This behavior is unwanted. To avoid the problem i can loop over each grid point and assign the objects element by element, like for i in range(3): for j in range(3): lattice[i,j] = site(a) But is there a better way (not involving the loops) to assign objects to a multidimensional array? Thanks Continue reading...
