matplotlib-users Mailing List for matplotlib

VJ,

Have you tried

ax.set_axisbelow(True)

where ax is your axes instance?

Eric

Vineet Jain wrote:
> I have charts which are using the add_collection function to draw 
> financial bar charts. I also have the grid line enabled. When the chart 
> is drawn (example can be seen at):
> 
> http://s3.amazonaws.com/oysb/wmt_n.png
> 
> any line drawn through add_collection which overlaps with the grid line 
> does not get displayed. Is there a way to send the grid line to the 
> background?
> 
> VJ  

I have charts which are using the add_collection function to draw 
financial bar charts. I also have the grid line enabled. When the chart 
is drawn (example can be seen at):

http://s3.amazonaws.com/oysb/wmt_n.png

any line drawn through add_collection which overlaps with the grid line 
does not get displayed. Is there a way to send the grid line to the 
background?

VJ   

Hi,

I would like something like this too. I tried to play a little bit to 
implement it but unfortunatly I find an intrinsic limitation in 
matplotlib. It's using agg and agg can't have image bigger than 3kx3k 
pixels or something like this and even before this limit matplotlib take 
age to plot an image on screen.

Regars,

N.



Eric Emsellem wrote:
> Hi,
> (pls let me know if this post should be better redirected to scipy or 
> numpy. It does relate to astropy of course...)
>
> 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...
>
>
>
>
>
> -------------------------------------------------------
> Using Tomcat but need to do more? Need to support web services, security?
> Get stuff done quickly with pre-integrated technology to make your job 
> easier
> Download IBM WebSphere Application Server v.1.0.1 based on Apache 
> Geronimo
> http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

>>>>> "Eric" == Eric Firing <ef...@ha...> writes:

    Eric> Bob, Try doing

    Eric> b = axis() ax1.plot([0.0],[0.0],'wo') axis(b)

    Eric> That saves the axis range set by imshow and restores it
    Eric> after the call to plot.

You can also turn on an off autoscaling

  ax.set_autoscale_on(False)

JDH

Hi,
(pls let me know if this post should be better redirected to scipy or 
numpy. It does relate to astropy of course...)

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...

     I posted a universal build of matplotlib 0.87.2 on sourceforge in
egg and mpkg format.  It is compiled against the latest numarray,
numpy, and Numeric as well as Tk and the new wxPython-rc2 universal.=20
Libpng and freetype2 are statically linked in.  Please post or link to
either/both at "http://pythonmac.org/packages/py24-fat/".

http://sourceforge.net/project/showfiles.php?group_id=3D80706&package_id=3D=
82474

Thanks,
     Charlie