[yt-users] colorbar rasterization

[Nathan Goldbaum]

From the matplotlib faq:

>>> import matplotlib
>>> matplotlib.__version__
'0.98.0'

Cheers,
Nathan Goldbaum
Graduate Student
Astronomy & Astrophysics, UCSC
goldbaum at ucolick.org
http://www.ucolick.org/~goldbaum

On Jun 27, 2012, at 2:38 PM, Christine Simpson wrote:

> In the beginning I did just what Sam suggested and it didn't look that
> great, but maybe I need to up the dpi more.  The one tricky thing I
> found in converting the png's to pdf's by hand was getting the colors to
> come out right.  I used ImageMagick and had to specify the -type flag to
> get it to come out right.
> 
> I will try emailing the matplotlib users list.  Silly question: how do I
> determine the version number of matplotlib in my yt installation?
> 
> Christine
> 
> On Wed, 2012-06-27 at 14:28 -0700, Nathan Goldbaum wrote:
>> This is a long-standing bug in matplotlib (discussed
>> here: http://sourceforge.net/mailarchive/forum.php?thread_name=4D2DF596.3060503%40hawaii.edu&forum_name=matplotlib-users)
>> 
>> 
>> It may be a bit of work on your part to make a simple script that
>> reproduces the bug, but I think it would be worthwhile to report this
>> on matplotlib-users and so that we can get an official response from
>> the matplotlib developers.
>> 
>> 
>> I did and bit of googling but unfortunately I can't find a simple fix
>> for this beyond Sam's suggestion to do the conversion to vector
>> graphics by hand.
>> 
>> 
>> Cheers,
>> 
>> Nathan Goldbaum
>> Graduate Student
>> Astronomy & Astrophysics, UCSC
>> goldbaum at ucolick.org
>> http://www.ucolick.org/~goldbaum
>> 
>> On Jun 27, 2012, at 2:17 PM, Sam Skillman wrote:
>> 
>>> Hi Christine,
>>> 
>>> 
>>> This doesn't fix the underlying issue, but I usually just dump the
>>> pngs out with a high dpi and use a conversion from png to eps.  If
>>> you have Gimp, you may want to give this a shot:
>>> http://code.google.com/p/agpy/source/browse/trunk/contributed/pngtoeps?r=247
>>> 
>>> Others might have better ideas, but my guess is a lot of them will
>>> deal with modifying your matplotlib backend, which I've never had
>>> great luck with for vector formats.
>>> 
>>> 
>>> Best,
>>> Sam
>>> 
>>> On Wed, Jun 27, 2012 at 3:10 PM, Christine Simpson
>>> <csimpson at astro.columbia.edu> wrote:
>>>        Hi everyone,
>>> 
>>>        I have a question that may be more of a matplotlib question
>>>        than a yt
>>>        question, but it's an issue with some yt generated figures I
>>>        have, so I
>>>        thought I'd ask it here.  I think there was some discussion
>>>        of this on
>>>        the list a while ago but I can't find the thread.
>>> 
>>>        When I output images that include colorbars in vector
>>>        formats (like pdf
>>>        and eps), I get these little lines running across the color
>>>        bar.  It
>>>        goes away if I output the image in a rasterized format (like
>>>        png).  I
>>>        wanted to output my images in vector format (as pdfs) so
>>>        everything
>>>        looks nice and sharp.  I've figured out how to just
>>>        rasterize the color
>>>        bar.  However, I don't want to rasterize the color bar
>>>        labels, and the
>>>        way I've implemented it, the labels get rasterized too.  It
>>>        seems in
>>>        figure objects (and maybe axes objects?) there is a way to
>>>        specify the
>>>        order that items get drawn and/or rasterized (through the
>>>        zorder and
>>>        rasterized_zorder keywords); I've played around with this
>>>        but haven't
>>>        been able to get it to work.  The color bar is a Colorbar
>>>        object and it
>>>        doesn't seem like this class allows for adjusting the
>>>        rasterization
>>>        order of things.
>>> 
>>>        I've pasted an example script here:
>>>        http://paste.yt-project.org/show/2504/
>>>        I'm probably going to give up on this soon, but any advice
>>>        people have
>>>        would be greatly appreciated.
>>> 
>>>        Christine
>>> 
>>> 
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>>> 
>>> 
>>> 
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