matplotlib-users Mailing List for matplotlib (Page 2)

  On 10/4/10 3:36 AM, nickj wrote:
> Hello all,
>
> I'm playing with Matplotlib & Basemap for the first time, and 
> attempting to render data from the NOAA GFS models. With joy I finally 
> got something on screen, however I was wondering what I might be able 
> to do, to better improve the contour rendering of the final map. To 
> better illustrate my problem, here is a screenshot with added red 
> lines pointing to the odd slicing I get around the contours: 
> http://www.bigoceans.com/slices.png
>
> Is there any way to rectify that?
>

Nick:  Are you using matplotlib 1.0.0?  I'm not sure, but I think there 
were some improvements to contour in that release which fixed this 
problem.  If you are using 1.0.0, could you post the script so I can try it?
> Also, part of my project is to output massively high resolution images 
> of this work, which I'll be using to display in a number of mediums 
> which are of particular aesthetic importance (I'm not a scientist, I'm 
> producing something more in the realm of infographics). I decided 
> perhaps the best method to achieve this is as a PDF/Vector output, 
> which I could generate bitmaps at a later date at any resolution I 
> choose to render the PDF as (upwards of 8000pixels). Would anyone be 
> able to best recommend how I can achieve the highest possible 
> contouring, country borders and other things related to detail? I have 
> attempted to use the resolution=full keyword, however my computer 
> balked and failed to respond after five minutes. What is this keyword 
> actually doing? What can I do to get the greatest resolution of 
> coastline & map representation?


The default is ='c' (or 'crude' which gives very low resolution 
coastlines).  Moving upward in resolution, there is 'l','i','h' and 
finally 'f', which is probably overkill for a domain of this size (it 
will be very slow and use a lot of memory).

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/PSD  R/PSD1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

There is a fix for this in SVN in r8712 that will make it into the next 
release.

In the meantime, as a workaround, you can safely delete the font cache 
file in

~/.matplotlib/fontList.cache

Mike

On 10/04/2010 08:44 AM, Matthieu Brucher wrote:
> Hello,
>
> I ahve several installation of matplotlib on several computers with
> different OS but the same HOME directory.
> Matplotlib caches a lot of stuff in ~/.matplotlib, like fonts, but
> they are not located in the same folder in different computers I use.
> The issue is that the cache makes matplotlib raise an exception at
> import time. Would it be possible not to use the cache if the fonts
> mentioned int he cache are not available?
>
> Matthieu
>    


-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA

On 09/17/2010 08:57 PM, Joey Richards wrote:
> Hello.  First, let me apologize if this has been covered---I tried to search the mailing list archives but was unable to get that to work (even queries that should have returned many hits were returning nothing).
>
> When I plot with the MacOSX backend using a serif font, the negative signs on the axis labels show up as the "missing glyph" open squares rather than minus signs.
>
> Things that work around the problem:
> - disabling the unicode minus sign via axes.unicode_minus: False in the matplotlibrc file (though this obviously gives a hyphen instead of a true minus sign)
> - switching to a sans-serif font
> - switching to TkAgg or wxAgg backends
> - using the text.usetex option
>
> Things that don't work:
> - switching to a different serif font (at least among Times, Times New Roman, and Bitstream Vera Serif)
>    
FWIW, Bitstream Vera Serif (at least the one distributed with 
matplotlib) does have the minus sign (at codepoint U2212), so I don't 
think it's the fault of the font.  I'm on Linux and don't have Apple's 
Times or Times New Roman, so I can't verify those.

This sounds like a bug in the Mac OS-X backend in how it's handling 
Unicode characters -- though that doesn't explain why the sans-serif 
font is working.

Do you have any customizations related to fonts in your matplotlibrc file?

Mike

-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA

You can set the rcParam "ps.useafm" to True, which will use the built-in 
Postscript fonts (and not embed any in the file), or set "ps.fonttype" 
to "42" which will embed the complete Truetype font in the file.

Mike

On 10/02/2010 01:55 PM, Ed Lazarus wrote:
> All,
>
> I am wondering if anyone knows of a working example that yields
> a postscript figure editable in Adobe Illustrator; that is, the 
> characters are editable as characters.
> I have only been able to get drawn fonts and would love to have a test 
> case that is known  to work.
>
> My environment is:
>> python
> Python 2.6.6 (r266:84292, Sep 11 2010, 15:25:14)
> [GCC 4.2.1 (Apple Inc. build 5659)] on darwin
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import matplotlib
>>>> matplotlib.__version__
> '1.0.0'
>>>> matplotlib.__file__
> '/opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/__init__.pyc'
>>>>
> my rc file is:
> backend : TkAgg # the default backend
> interactive : True
> ps.usedistiller : xpdf
>
> I can produce postscript fonts outside python, say in IDL.
> I can produce postscript fonts in python using the psg package, but 
> not matplotlib.
> In all the examples at http://matplotlib.sourceforge.net/ I did not 
> find anything that
> explicitly addresses this issue.
>
> Thanks to anyone who answers with a test case.
>
>
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>    


-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA

On 10/02/2010 01:39 PM, Jouni K. Seppänen wrote:
> Benjamin Root<ben...@ou...>  writes:
>
>    
>> And yet, we still allow for saving to jpegs.
>>      
> Wow, I didn't know. Last time I tried that I got a traceback, and
> assumed that it was not supported exactly because jpeg is a nonsensical
> format for most graphs.
>
> I just tried again, and got "TypeError: 'int' object is unsubscriptable"
> from PIL/JpegImagePlugin.pyc in _save(im, fp, filename). I suppose this
> doesn't get much testing.
>    
Aside from the question of whether we "should" support JPEGs, etc., that 
code path should work (and in fact it does on my machine).  What version 
of PIL do you have installed, and can you provide the full traceback 
here?  I'd like to get to the bottom of this bug, even if it's an 
infrequently used feature.

Mike

-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA

Hello,

I ahve several installation of matplotlib on several computers with
different OS but the same HOME directory.
Matplotlib caches a lot of stuff in ~/.matplotlib, like fonts, but
they are not located in the same folder in different computers I use.
The issue is that the cache makes matplotlib raise an exception at
import time. Would it be possible not to use the cache if the fonts
mentioned int he cache are not available?

Matthieu
-- 
Information System Engineer, Ph.D.
Blog: http://matt.eifelle.com
LinkedIn: http://www.linkedin.com/in/matthieubrucher

On Mon, Oct 4, 2010 at 11:36 AM, nickj <nic...@gm...> wrote:
> To better illustrate my problem, here is a screenshot with added red lines
> pointing to the odd slicing I get around the
> contours: http://www.bigoceans.com/slices.png

A low-tech option is to plot first all the oceans in light color, then
overplot the next color for all values (corresponding to that one an
higher) and so on.


For your performance issues, make sure you are not displaying the
image, but saving it directly to disk.

Hello all,

I'm playing with Matplotlib & Basemap for the first time, and attempting to
render data from the NOAA GFS models. With joy I finally got something on
screen, however I was wondering what I might be able to do, to better
improve the contour rendering of the final map. To better illustrate my
problem, here is a screenshot with added red lines pointing to the odd
slicing I get around the contours: http://www.bigoceans.com/slices.png

Is there any way to rectify that?

Also, part of my project is to output massively high resolution images of
this work, which I'll be using to display in a number of mediums which are
of particular aesthetic importance (I'm not a scientist, I'm producing
something more in the realm of infographics). I decided perhaps the best
method to achieve this is as a PDF/Vector output, which I could generate
bitmaps at a later date at any resolution I choose to render the PDF as
(upwards of 8000pixels). Would anyone be able to best recommend how I can
achieve the highest possible contouring, country borders and other things
related to detail? I have attempted to use the resolution=full keyword,
however my computer balked and failed to respond after five minutes. What is
this keyword actually doing? What can I do to get the greatest resolution of
coastline & map representation?

Thanks so much, Nick

Hi,

I'm quite new to python and matplotlib so please forgive me if this quite
basic.

I need to annotate a distance on a image by a two arrowed bar. I tried using
arrowprops with arrowstyle = '<->' and connectionstyle='bar' but I could
find how to have the text above the bar and not at the edge of the bar.

Could someone drop clue?

Thanks,

OrenG