On Sat, May 23, 2009 at 15:41, David Warde-Farley <d...@cs.toronto.edu> wrote: > On 23-May-09, at 4:25 PM, Albert Thuswaldner wrote: > >> Actually my vision with pyhdf5io is to have hdf5 to replace numpy's >> own binary file format (.npy, npz). Pyhdf5io (or an incarnation of it) >> should be the standard (binary) way to store data in scipy/numpy. A >> bold statement, I know, but I think that it would be an improvement, >> especially for those users how are replacing Matlab with sicpy/numpy. > > In that it introduces a dependency on pytables (and the hdf5 C > library) I doubt it would be something the numpy core developers would > be eager to adopt. > > The npy and npz formats (as best I can gather) exist so that there is > _some_ way of persisting data to disk that ships with numpy. It's not > meant necessarily as the best way, or as an interchange format, just > as something that works "out of the box", the code for which is > completely contained within numpy.
Yes. The full set of use cases and design constraints are considered here: http://svn.scipy.org/svn/numpy/trunk/doc/neps/npy-format.txt -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
