This solution does not work for me since I have an offset before the data that is not a multiple of the datatype (it's a header containing various stuff). I'll at pytables.
# Exploit the operating system's virtual memory manager to get a "virtual copy" of the entire file in memory # (This does not actually use any memory until accessed): virtual_arr = np.memmap(path, np.uint32, "r") # Get a numpy view onto every 20th entry: virtual_arr_subsampled = virtual_arr[::20] # Copy those bits into regular malloc'ed memory: arr_subsampled = virtual_arr_subsampled.copy() _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
