I am working with very large numpy/scipy arrays that take up a huge junk of memory. Suppose my code looks something like the following:
def do_something(a):
a = a / a.sum() #new memory is allocated
#I don't need the original a now anylonger, how to delete it?
#do a lot more stuff
#a = super large numpy array
do_something(a)
print a #still the same as originally (as passed by value)
So I am calling a function with a huge numpy array. The function then processes the array in some way or the other, but the original object is still kept in memory. Is there any way to free the memory inside the function; deleting the reference does not work.