[AstroPy] A simple python module, wrapping pytfits+matplotlib: fits I/O + graphic/display environment

Jaime Perea jaime at iaa.es
Thu May 4 08:02:11 CDT 2006


I would love such an idea but is there any work already done
by pymidas or pyiraf? 

From the point of view of python perhaps the idea will be 
something as defining a 'fits' class using pyfits and include there 
all the __add__  __div__ __sub__  and whatever needed methods, 
really here the language can help a lot.

It really does not seem to be so crazy :-)

The problem I think is mainly all the conventions 
that are needed to handle the headers. 

Regards
 
-- 

           Jaime D. Perea Duarte. <jaime at iaa dot es>
             Linux registered user #10472

           Dep. Astrofisica Extragalactica.
           Instituto de Astrofisica de Andalucia (CSIC)
           Apdo. 3004, 18080 Granada, Spain. 


El Jueves, 4 de Mayo de 2006 14:33, Eric Emsellem escribió:
> Hi,
>
> I am trying since some time to develop a simple module to wrap up some
> functionalities of pyfits and matplotlib.
> The goal is to be able to manipulate FITS files (spectra, images, 3D
> cubes, including maybe Euro3D format for those who know what it is) and
> display them (plot slices, display images, etc) in a very simple way. It
> could be inspired from (although not a cloning of) simple
> functionalities found in Midas. So you can do things like
>
> Image1.fits = Image2.fits / (Image3.fits + 3.4)
>
> Table.fits.col1 = Table.fits.col2 * Table.fits.col4 / 2.
>
> , or easily create a new Fits image, or table, display them by doing
> something like:
>
> load("Image1.fits", scale=3, cuts=(0.,100.), center=(-1.,6.))
>
> or alternatively:
>
> ima = fitstab("Image1.fits")
> load(ima, scale=3, cuts=(0.,100.), center=-1.,6.)
>
> (where Image1.fits is displayed with a scaling factor of 3, with cuts as
> indicated, and the center of the figure corresponding to coordinates
> -1,6)
>
> or
>
> plot("Image1.fits", 0)
>
> (plot a cut at vertical coordinate 0)
>
> You could say then: use Midas. But Midas is clearly very limited (does
> not have the python built-in potential of course) and its
> display/plotting functions are really scarce. The fact that there is now
> a pyMidas available does not fill the gap since I would like to be able
> to run my favourite ide (ipython for the moment), and really profit from
> all python modularity/functions.
>
> So the choice for an I/O with fits seems easy: "pyfits" which is a
> really fantastic module for dealing with FITS files.
> And the choice for displaying is also not so difficult: "matplotlib"
> which is also an amazing module and provides paper quality figures.
>
> My questions are then:
>
> 0/ is this a dum idea? Maybe I am missing something here, so just let me
> know...
>
> 1/ is there already something existing which does what I mention above?
> (so a wrapper around pyfits+matplotlib). Maybe at StSci...?
>
> 2/ If I were to try to develop such a tool, it will result in a rather
> badly coded module: I will try my best but frankly I should be
> considered as a newby in python and I can sincerely say that I don't
> fully understand all the forum matplotlib/numpy/scipy discussions, by
> far... So the question is: would anybody be interested/willing to, once
> in a while, help me with this development?
>
> Some could answer that using directly pyfits+matplotlib does the job.
> True. But if you wish to directly deal with fits and display them with
> some option (zooming, cuts, centering, etc) you still need to go through
> a number of steps which are not necessarily easy to remember (syntax,
> etc). Some wrapping could help quite a lot here.
>
> Thanks for any input here.
>
> cheers
>
> Eric
> P.S.: for the sake of completeness I could send anybody on request the
> very ugly looking - and unfinished modules I wrote last year in this
> context, when I seriously engaged in python in replacement of
> Midas/Iraf/Idl...
> P.P.S.: this is a duplicate of a post sent to matplotlib, but as
> suggested by P. Barrett, this post is much more relevant to astropy...
> Sorry for the duplicate.
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