I create a 6x5 2d array, initially with just None in each cell. I then read a file and replace the Nones with data as I read them. I create the empty array first because the
What's going on here is that the line
x = [[None]*5]*6
expands out to
x = [[None, None, None, None, None, None]]*6
At this point you have a list with 6 different references to the singleton None
. You also have a list with a reference to the inner list as it's first and only entry. When you multiply it by 6, you are getting 5 more references to the inner list as you understand. But the point is that theres no problem with the inner list, just the outer one so there's no need to expand the construction of the inner lists out into a comprehension.
x = [[None]*5 for _ in range(6)]
This avoids duplicating references to any lists and is about as concise as it can readably get I believe.
If you aren't going the numpy route, you can fake 2D arrays with dictionaries:
>>> x = dict( ((i,j),None) for i in range(5) for j in range(6) )
>>> print x[3,4]
None
Using nested comprehension lists :
x = [[None for _ in range(5)] for _ in range(6)]