Hmm. I just saw that you suggest fig.draw(). Is there a difference with
plt.draw()?
Jon
On Tue, Oct 14, 2014 at 11:20 AM, Slavin, Jonathan <jsla...@cfa.harvard.edu>
wrote:
> Hi Ben,
>
> Sorry, in my little example, I left out a few things. I do update first
> after the first call. And I do call draw() after other calls. So here is
> a more accurate representation of what I do:
>
> first = True
> fig = plt.figure()
> for file in files:
> hdu = fits.open(file)
> image = hdu[0].data
> hdu.close()
> if first:
> ax = fig,add_subplot(1,1,1)
> im = ax.imshow(image)
> plt.show()
> first = False
> else:
> im.set_data(image)
> plt.draw()
> ans = raw_input('continue?')
> if ans == 'n':
> break
>
> Jon
>
>
> On Tue, Oct 14, 2014 at 10:42 AM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>> Also, you aren't updating "first" after the first call, so it is
>> constantly making new axes and recalling imshow().
>>
>> Ben Root
>>
>> On Tue, Oct 14, 2014 at 10:41 AM, Benjamin Root <ben.r...@ou.edu> wrote:
>>
>>> What is happening is that you are not telling the image to redraw, so
>>> you are only seeing it refresh for other reasons. Try adding a fig.draw()
>>> call prior to the raw_input() call.
>>>
>>> Cheers!
>>> Ben Root
>>>
>>> On Tue, Oct 14, 2014 at 10:03 AM, Slavin, Jonathan <
>>> jsla...@cfa.harvard.edu> wrote:
>>>
>>>> Hi all,
>>>>
>>>> In my work lately I have often wanted to browse through a series of
>>>> images. This means displaying the image(s), looking at it/them and then
>>>> continuing. I have coded this in a few different ways, but it is generally
>>>> pretty slow -- which is to say that the image display takes more than a
>>>> couple seconds (~4) after I tell it to continue to the next image. I
>>>> tested the loop without image display and it was a factor of ~80 times
>>>> faster than it was with image display, so it's doesn't have anything to do
>>>> with reading the images from disk. My latest approach is basically:
>>>> first = True
>>>> fig = plt.figure()
>>>> for file in imagefiles:
>>>> # read in image data (fits files)
>>>> if first:
>>>> ax = fig.add_suplot(1,1,1)
>>>> im = ax.imshow(image)
>>>> else:
>>>> im.set_data(image)
>>>> ans = raw_input('continue?')
>>>> if ans == 'n':
>>>> break
>>>>
>>>> Is there a more efficient way to do this?
>>>>
>>>> Regards,
>>>> Jon
>>>>
>>>> --
>>>> ________________________________________________________
>>>> Jonathan D. Slavin Harvard-Smithsonian CfA
>>>> jsla...@cfa.harvard.edu 60 Garden Street, MS 83
>>>> phone: (617) 496-7981 Cambridge, MA 02138-1516
>>>> fax: (617) 496-7577 USA
>>>> ________________________________________________________
>>>>
>>>>
>>>>
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>>>
>>
>
>
> --
> ________________________________________________________
> Jonathan D. Slavin Harvard-Smithsonian CfA
> jsla...@cfa.harvard.edu 60 Garden Street, MS 83
> phone: (617) 496-7981 Cambridge, MA 02138-1516
> fax: (617) 496-7577 USA
> ________________________________________________________
>
>
--
________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
jsla...@cfa.harvard.edu 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
fax: (617) 496-7577 USA
________________________________________________________
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