I am currently working with hundreds of files, all of which I want to read in and view as a numpy array. Right now I am using os.walk to pull all the files from a directory. I have a for loop that goes through the directory and will then create the array, but it is not stored anywhere. Is there a way to create arrays "on the go" or to somehow allocate a certain amount of memory for empty arrays?
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Just append them to a list as you go:
lists = []
for dirpath, dirnames, filenames in os.walk(...):
lists.append(...)
nneonneo
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Each file is unique, however; and I don't want to put them all in a single array. – Apr 10 '13 at 01:29
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You can put lists inside of lists. So you will end up with a list that contains lists of filenames. – nneonneo Apr 10 '13 at 01:43
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Python's lists are dynamic, you can change their length on-the-fly, so just store them in a list. Or if you wanted to reference them by name instead of number, use a dictionary, whose size can also change on the fly.
James
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