If you have a lot of data pytables may be an option (see link below).
It can store data as numpy arrays directly rather than having to
convert to such an array after reading from an sql database.

http://www.pytables.org

Vincent



On Jun 18, 1:15 pm, Blaine Booher <frik...@gmail.com> wrote:
> Thank you Rajesh, Vincent, Nick, and Hernan for the helpful suggestions.
> This is definitely a route I am going to explore.  I'll post some updates to
> the list if anything comes out of it.
>
> Would you recommend importing the data into django models and tables, or
> keeping the db separate and independent?
>
> Blaine
>
> On Thu, Jun 18, 2009 at 3:01 AM, Hernan Olivera <lholiv...@gmail.com> wrote:
> > I think it would be really great if you can interface with R too. There`s a
> > library to acces to R power from Python, and then from Django.
>
> > 2009/6/18 Nick Fishman <bsdlogi...@bsdlogical.com>
>
> > A friend of mine is using Django with matplotlib to create graphs from CSV
> >> files, and it's turning out pretty well. I haven't yet tried googlecharts,
> >> but it looks promising.
>
> >> The main difficulty he had with Matplotlib was transitioning to
> >> Apache/mod_python after working with the Django development server. The
> >> Matplotlib commands he was calling worked fine on his desktop, but then
> >> complained of a non-existent X11 connection once he tried the code on
> >> Apache. The solution is one additional line of code, and is detailed at
> >>http://matplotlib.sourceforge.net/faq/howto_faq.html#matplotlib-in-a-...anyone
> >> who might have similar problems.
>
> >> Nick
>
> >> On Wed, Jun 17, 2009 at 11:08 PM, Vincent <vincent.n...@gmail.com> wrote:
>
> >>> That sounds like a great idea. Something i have been meaning to try
> >>> for a while but haven't gotten around to.
>
> >>> For a class website i did try to use matplotlib to create graphs from
> >>> user provided data within django but couldn't figure out how to get it
> >>> to work smoothly. Ended up using Jacobs googlecharts templates instead
> >>> (see link below).
>
> >>>http://github.com/jacobian/django-googlecharts/tree/master
>
> >>> The following also looks nice.
>
> >>>http://code.google.com/p/google-chartwrapper/
>
> >>> Hope you share code examples.
>
> >>> Vincent
>
> >>> On Jun 17, 4:21 pm, Rajesh D <rajesh.dha...@gmail.com> wrote:
> >>> > On Jun 17, 2:06 pm, blaine <frik...@gmail.com> wrote:
>
> >>> > > Hey guys,
> >>> > >   I have a lot of data from various testing samples (simple 2D
> >>> > > plotting points) in .csv format.  I am looking to design a system to
> >>> > > manage things like plotting, calculations, selecting individual
> >>> > > samples and tests, etc. by creating a data manager with an intuitive
> >>> > > interface.
>
> >>> > > My question: Has anyone used (or heard of using) a Django-powered
> >>> > > application as a quick and powerful frontend to a scientific
> >>> database?
>
> >>> > > It seems to me that the tools built into Django (administration site,
> >>> > > generic views & templates) would lend themselves quite easily for
> >>> this
> >>> > > purpose... not to mention that I am already using NumPy and
> >>> MatPlotLib
> >>> > > to plot my data sets so the integration with these tools would be
> >>> > > easy.
>
> >>> > Yes, it should be.
>
> >>> > You might even consider taking a representative subset of your
> >>> > datamodel and defining it in a sample Django project to see how that
> >>> > goes.
>
> >>> > -RD
>
> > --
> > Hernan Olivera
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