No thoughts on optimizing memory, but that indexing error probably comes from np.mean producing float results. An astype call shoulder that work.
-CHB Sent from my iPhone On Sep 15, 2017, at 5:51 PM, Robert McLeod <[email protected]> wrote: On Fri, Sep 15, 2017 at 2:37 PM, Elliot Hallmark <[email protected]> wrote: > Nope. Numpy only works on in memory arrays. You can determine your own > chunking strategy using hdf5, or something like dask can figure that > strategy out for you. With numpy you might worry about not accidentally > making duplicates or intermediate arrays, but that's the extent of memory > optimization you can do in numpy itself. > NumPy does have it's own memory map variant on ndarray: https://docs.scipy.org/doc/numpy/reference/generated/numpy.memmap.html -- Robert McLeod, Ph.D. [email protected] [email protected] _______________________________________________ NumPy-Discussion mailing list [email protected] https://mail.python.org/mailman/listinfo/numpy-discussion
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