From what I understand, netCFD is based on on HDF5, at least as of the version 4 release.
On Mon, May 25, 2009 at 19:19, Eric Firing <efiring@hawaii.edu> wrote:
Francesc Alted wrote:
A Monday 25 May 2009 00:31:43 David Warde-Farley escrigué:
As Robert's design document for the NPY format says, one option would be to implement a minimal subset of the HDF5 protocol *from scratch* (that would be required for saving NumPy arrays as top-level leaf nodes, for example). This would also sidestep any tricky licensing issues (I don't know what the HDF5 license is in particular, I know it's fairly permissive but still might not be suitable for including any of it in NumPy).
The license for HDF5 is BSD-based and apparently permissive enough, as can be seen in:
http://www.hdfgroup.org/HDF5/doc/Copyright.html
The problem is to select such a desired minimal protocol subset. In addition, this implementation may require quite a bit of work (but I've never had an in- deep look at the guts of the HDF5 library, so I may be wrong).
Cheers,
If the aim is to come up with a method of saving numpy arrays that uses a standard protocol and does not introduce large dependencies, then could this be accomplished using netcdf instead of hdf5, specifically Roberto De Almeida's pupynere, which is already in scipy.io as netcdf.py? Or does hdf5 have essential characteristics for this purpose that netcdf lacks?
Eric _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion