maurizio wrote:
thank you for your answer
actually i've to do some statistics (maximum,minimum,mean,standard
deviation,....) of a file of data in which each column is a particular
type of data. (the file is a tab separated value).
I was trying to do this by using python (usually i work with fortran or
bash, but i'm learning python), that the reason why i tried to use numpy.
As I implied, you can do all this in standard Python "by hand", but
numpy/scipy can definitely make things easier. There's a dependency
cost here (your program needs one or more extra libraries to work), but
if that's no problem in your environment, I'd recommend that approach.
The scipy add-on contains a bunch of things for file i/o; see
http://www.scipy.org/doc/api_docs/SciPy.io.html
for an overview. Since you're reading text files, the "array_import"
module seems to be what you need:
http://www.scipy.org/doc/api_docs/SciPy.io.array_import.html
There are active user communities for both numpy and scipy that can help
you sort out any remaining issues; for details, see:
http://www.scipy.org/Mailing_Lists
Hope this helps!
</F>
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