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
On Thu, May 21, 2009 at 15:04, <albert.thuswaldner@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, i.e. 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 a a 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?
PyTables, probably. -- 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
albert.thuswaldner@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, i.e. 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 a a 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 appreciate
I'd expect to find it in http://h5py.alfven.org/ I think... -- Dag Sverre
Dag Sverre Seljebotn wrote:
albert.thuswaldner@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, i.e. 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 a a 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 appreciate
I'd expect to find it in
I think...
Please disregard this, I didn't notice you had a PyTable dependency. -- Dag Sverre
Hi Albert, So this is a wrapper on top of PyTables to implement load() and save()? Neat. 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. 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. David On 21-May-09, at 4:04 PM, albert.thuswaldner@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
On Thu, May 21, 2009 at 22:38, David Warde-Farley <dwf@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.thuswaldner@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
participants (5)
-
Albert Thuswaldner -
albert.thuswaldner＠gmail.com
-
Dag Sverre Seljebotn -
David Warde-Farley -
Robert Kern