On Thu, May 21, 2009 at 22:38, David Warde-Farley <d...@cs.toronto.edu> wrote: > Hi Albert, > > So this is a wrapper on top of PyTables to implement load() and > save()? Neat.
Yes, you got the idea. in its most simplest form you can type: hdf5save() And all your local variables are saved to a file with the default file name "hdf5io.h5". Of course it also allows you to specify a file name and what variables you would like to save. As it is based on hdf5 you can also store the variables to a certain group within the file (If you know how hdf5 works, you probably know what I'm talking about). Appending data to existing hdf5-files is also possible. > Obviously if you're installing PyTables, you can do a lot better and > organize your data hierarchically without the messiness of Matlab > structures, walk the node tree, all kinds of fun stuff, but if you're > an expatriate matlab user and just want to save some matrices... this > is great. Notably, that was one of my gripes about ipython+numpy+scipy > +matplotlib when I first came from Matlab. Exactly! > I think you should send a message to the PyTables list, ask Francesc > if he thinks it has a place in PyTables for it as a 'lite' wrapper or > something, for people who need to save data but don't need/are > intimidated by all the features that PyTables provides. Actually, I just e-mail Francesc, see what he thinks. Thanks for your reply. Also thanks to the others who also have replied /Albert > David > > On 21-May-09, at 4:04 PM, albert.thuswald...@gmail.com wrote: > >> Dear list, >> I'm writing this because i have developed a small python module that >> might be of interest to you the readers of this list: >> >> http://code.google.com/p/pyhdf5io/ >> >> It basically implements load/save functions that mimic the behaviour >> of those found in Matlab, ie with them you can store your variables >> from within the interactive shell (IPython, python) or from within a >> function, and then load them back in again. One important difference >> is that the hdf5 format is used to store the variables, which comes >> with aa number of benefits: >> - a open standard file format which is supported by many applications. >> - completely portable file format across different platforms. >> >> Read more here: http://www.hdfgroup.org/HDF5/whatishdf5.html >> >> And now to the question: >> >> I think that this module is to small to be developed and maintained >> on its on, I think It would be better if it could be part of some >> larger project. So where would pyhdf5io fit in? >> Any tips and ideas are highly appreciated. >> >> Thanks. >> >> /Albert >> _______________________________________________ >> Numpy-discussion mailing list >> Numpy-discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
