> > Well, one thing you could do is dump your data into a PyTables_ > ``CArray`` dataset, which you may afterwards access as if its was a > NumPy array to get slices which are actually NumPy arrays. PyTables > datasets have no problem in working with datasets exceeding memory size. > For instance::
I've recently started using PyTables for storing large datasets and I'd give it 10/10! Access is fast enough you can just access the data you need and leave the full array on disk. BC _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
