En/na Mathew Yeates ha escrit:: > I typically deal with very large arrays that don't fit in memory. How > does Numpy handle this? In Matlab I can use memory mapping but I would > prefer caching as is done in The Gimp.
Hi Mathew. If you are in the need of storing large arrays on disk, you may have a look at Pytables_. It will save you some headaches with the on-disk representation of your arrays (it uses the self-describing HDF5 format), it allows you to load specific slices of arrays, and it provides caching of data. The latest versions also support numpy. Hope that helps, .. _PyTables: http://www.pytables.org/ :: Ivan Vilata i Balaguer >qo< http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data ""
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