On May 20, 2008, at 6:11 PM, Gary Pajer wrote:
> I thought about that. It seems to have much more than I need, so I
> wonder if it's got more overhead / less speed / more complex API than
> I need. But big isn't necessarily bad, but it might be. Is pytables
> overkill?
I use netCDF (which u
I am not exactly an expert on data storage, but I use PyTables a lot for
all kinds of scientific data sets and am very happy with it. Indeed it
has many advanced capabilities; so it may seem overkill at first glance.
But for simple tasks such as the one you describe the api is simple;
indeed I als
On Tue, May 20, 2008 at 10:11 AM, Gary Pajer <[EMAIL PROTECTED]> wrote:
> On Tue, May 20, 2008 at 10:26 AM, Gabriel J.L. Beckers
> <[EMAIL PROTECTED]> wrote:
> > PyTables is an efficient way of doing it (http://www.pytables.org). You
> > essentially write data to a HDF5 file, which is portable and
On Tue, May 20, 2008 at 10:26 AM, Gabriel J.L. Beckers
<[EMAIL PROTECTED]> wrote:
> PyTables is an efficient way of doing it (http://www.pytables.org). You
> essentially write data to a HDF5 file, which is portable and can be read
> in Matlab or in a C program (using the HDF5 library).
>
> Gabriel
PyTables is an efficient way of doing it (http://www.pytables.org). You
essentially write data to a HDF5 file, which is portable and can be read
in Matlab or in a C program (using the HDF5 library).
Gabriel
On Tue, 2008-05-20 at 09:32 -0400, Gary Pajer wrote:
> I want to store data in a way that
I want to store data in a way that can be read by a C or Matlab program.
Not too much data, not too complicated: a dozen or so floats, a few
integers, a few strings, and a (3, x) numpy array where typically 500
< x < 3.
I was about to create my own format for storage when it occurred to me
t
