2010/6/8 Hans Meine me...@informatik.uni-hamburg.de:
I just wondered why numpy.load(foo.npz) was so much faster than loading
(gzip-compressed) hdf5 file contents, and found that numpy.savez did not
compress my files at all.
But is that intended? The numpy.savez docstring says Save several
On Tuesday 08 June 2010 11:40:59 Scott Sinclair wrote:
The savez docstring should probably be clarified to provide this
information.
I would prefer to actually offer compression to the user. Unfortunately,
adding another argument to this function will never be 100% secure, since
currently,
ti, 2010-06-08 kello 12:03 +0200, Hans Meine kirjoitti:
On Tuesday 08 June 2010 11:40:59 Scott Sinclair wrote:
The savez docstring should probably be clarified to provide this
information.
I would prefer to actually offer compression to the user. Unfortunately,
adding another argument to
On Tuesday 08 June 2010 12:11:28 Pauli Virtanen wrote:
ti, 2010-06-08 kello 12:03 +0200, Hans Meine kirjoitti:
I would prefer to actually offer compression to the user. Unfortunately,
adding another argument to this function will never be 100% secure, since
currently, all kwargs will be
On 8 June 2010 06:11, Pauli Virtanen p...@iki.fi wrote:
ti, 2010-06-08 kello 12:03 +0200, Hans Meine kirjoitti:
On Tuesday 08 June 2010 11:40:59 Scott Sinclair wrote:
The savez docstring should probably be clarified to provide this
information.
I would prefer to actually offer compression
Hi Anne,
thanks for your input, too.
On Tuesday 08 June 2010 12:53:51 Anne Archibald wrote:
I'm also a little dubious about making compression the default.
np.savez provides a feature - storing multiple arrays - that is not
otherwise available. I suspect many users care more about speed than
2010/6/8 Hans Meine me...@informatik.uni-hamburg.de:
On Tuesday 08 June 2010 11:40:59 Scott Sinclair wrote:
The savez docstring should probably be clarified to provide this
information.
I would prefer to actually offer compression to the user.
In the meantime, I've edited the docstring to
