[sugar] Matplotlib vs PyCha

Rafael Enrique Ortiz Guerrero dirakx at gmail.com
Thu Feb 7 10:54:23 EST 2008


Hi Arjun,

I think Matplotlib  would be the best choice  taking in count  that we
probably want to work analysing bio-signals, i see that Matplotlib has
splendid  examples  like

mri_with_eeg.py<http://matplotlib.sourceforge.net/screenshots/mri_with_eeg.py>and
eeg.py <http://matplotlib.sourceforge.net/screenshots/eeg.py>

So we have a nice framework to begin with.

 Also without knowing too much about it, the problem  about the large
size could be worked out as you suggested.


cheers!

On Feb 7, 2008 2:20 AM, Arjun Sarwal <arjun at laptop.org> wrote:

> Hi,
>
> In continuation with my previous email[1] in which I had mentioned
> that I was looking for python packages that would enable me to do
> graphing/plotting of data in various formats. I searched through a
> series of packages. One that I really liked was gtksheet (or
> gtkextra?)[2]  which had various plotting functions (and also a
> spreadsheet like interface, which I would eventually need) but there
> hasn't been any development on that since a long time and that package
> depends pygtk1 and python <<2.4 so it seems I can't use it.
>
>
> After searching through more packages it seems to me that I have two
> options --
>
> (A) PyCha [3]
> Pros
> * Very small package - 30KB. Just need to include these few python files
> [4]
>
> Cons
> * Very limited types of representations - just line, bar and pie chart
> * For displaying it within a gtk window one needs to do some hackish
> stuff. like making a cairo surface and cairo context and copying the
> surface from within the python modules to the main program etc.
>
>
> (B) Matplotlib [5]
> Pros
> * A __huge__ variety of display methods a large number of graphs, and
> a large number of built in mathematical functions
> * A large community develops on and/or around it. Quite well known.
> * There is a well defined and supported method for embedding it in gtk
>
> Cons
> * Large size. Just the rpm is about 5MB. It requires python-dateutils
> and pytz. The pytz rpm is another about 6MB
>
>
>
> I am veering towards Matplotlib because it has some really amazing
> functionality (see the screenshots page[4])
>
> The solution to the large size could be that we fork the upstream
> package by removing certain parts that we don't require. There are
> things that we don't need. For example in the rpm that I downloaded I
> noticed that we could remove the examples and also remove support for
> other backends (just keep the gtk backend support)
>
>
>
> Please give comments/feedback/suggestions that would help set a
> direction for development.
>
>
> thanks
> Arjun
>
> [1] http://lists.laptop.org/pipermail/sugar/2008-January/004211.html
> [2] http://gtkextra.sourceforge.net/
> [3] http://www.lorenzogil.com/projects/pycha/#Documentation
> [4] http://www.lorenzogil.com/projects/pycha/browser/trunk/src
> [5] http://matplotlib.sourceforge.net/screenshots.html
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>



-- 
Rafael Enrique Ortiz Guerrero
One Laptop Per Child
rafael at laptop.org
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