Possible Fix to deal with Python Memory usage

Question

I have the following class:

 class C1:
    STORE = []
    TYPE = []
    ITEMS = []
    PRICE = []


    def __init__(self,STORE,TYPE,ITEMS,PRICE):
        se         


        

Answer 1

You have a 800 x 30,000 matrix. That's 24 000 000 elements per array. That's already at about 100 MB of space if they're floats, but more because of object overhead. And you have six of these beasts?

If 1.8 GB is too much then you'll have to store less. Sorry, but this is why real number crunching can be hard. Make sure you only have the data you need, and that's it.

If most of that matrix is empty then I'd suggest looking at some sparse matrix libraries. SciPy/NumPy have the most common ones, but I'm sure someone else provides something workable with Python 2.3. Maybe an old NumPy?