[Numpy-discussion] Writing/reading a numeric array to a file
Niklas Volbers
Mithrandir42 at web.de
Thu Nov 10 04:35:10 EST 2005
First of all, thanks for your answers.
Travis Oliphant <oliphant at ee.byu.edu> schrieb am 09.11.05 20:23:16:
> What unneeded functionality is there. SciPy Core is just a Numeric
> replacement. It does not NEED Atlas, it just uses it if you have it ---
> exactly the same as Numeric and numarray.
> It is a misconception to say scipy core needs any thing else but Python
> installed. So, let's not let that rumor kill convergence to a single
> package.
I am sorry for this faulty assumption of mine which you have now clarified.
I had assumed that ATLAS was needed, just because scipy_core would
not build on my system w/o a prior install of these libraries.
With the knowledge, that it _should_ work, I have just retried to build
scipy_core 0.4.2 on my rather fresh installation of Slackware Linux
10.2 (python 2.4.1) and still couldn't get it to build. I have
attached the log files out.txt and err.txt to this e-mail, which I got
by typing
$ python setup.py build 1>out.txt 2>err.txt
in the scipy_core main directory. The two files are compressed into a
single tar.gz archive (5k), because I do not know if 60k attachments are
o.k. on this list.
Maybe you can help me solve my problem?
> > (4) What solutions do you use to save/load data to files?
>
> SciPy core arrays have tofile methods and a fromfile function. They are
> raw reading and writing --- nothing fancy. You need to use Pickling if
> you want to recognize endian-ness among platforms. What is your
> opposition to Pickling?
>From how I understood pickling, it converts the python objects to a binary
representation. What I want is a data representation that is independent
of python. Anyway, I now have a few possibilities to explore besides
netcdf (with the alternative file formats FITS and with pytables, i.e. HDF5,
proposed here).
> I think you should take a look at PyTables for more elegant solutions.
I wasn't sure if it will stay compatible to scipy_core, because right now it
uses numarray. But from what you said I am sure that eventually pytables
might also switch to scipy_core.
Best regards, and thanks for your efforts,
Niklas.
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