matplotlib-users Mailing List for matplotlib

After upgrading to matplotlib 1.3.1-1 importing matplotlib.pyplot fails
with the error:
Python 2.7.5+ (default, Sep 17 2013, 15:31:50)
[GCC 4.8.1] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import matplotlib.pyplot
Found an unknown keyword in AFM header (was Each)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was Each)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was Each)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was Each)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
 File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 24, in
<module>
 import matplotlib.colorbar
 File "/usr/lib/pymodules/python2.7/matplotlib/colorbar.py", line 29, in
<module>
 import matplotlib.collections as collections
 File "/usr/lib/pymodules/python2.7/matplotlib/collections.py", line 23,
in <module>
 import matplotlib.backend_bases as backend_bases
 File "/usr/lib/pymodules/python2.7/matplotlib/backend_bases.py", line 50,
in <module>
 import matplotlib.textpath as textpath
 File "/usr/lib/pymodules/python2.7/matplotlib/textpath.py", line 11, in
<module>
 import matplotlib.font_manager as font_manager
 File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
1356, in <module>
 _rebuild()
 File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
1341, in _rebuild
 fontManager = FontManager()
 File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
1008, in __init__
 self.afmlist = createFontList(self.afmfiles, fontext='afm')
 File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line 563,
in createFontList
 font = afm.AFM(fh)
 File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 342, in
__init__
 parse_afm(fh)
 File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 331, in
parse_afm
 doptional = _parse_optional(fh)
 File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 313, in
_parse_optional
 d[key] = optional[key](fh)
 File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 246, in
_parse_kern_pairs
 c1, c2, val = _to_str(vals[1]), _to_str(vals[2]), _to_float(vals[3])
ValueError: could not convert string to float: -'0
The problem is with the Adobe Font Metric. Has anyone run into this problem
and found a solution or workaround? Any help is greatly appreciated.
My system is Debian testing with Python 2.7.5 and NumPy 1.7.1-3.
Thanks,
--
Ivan Lima
Woods Hole Oceanographic Institution, MC&G MS #25
360 Woods Hole Road, Woods Hole, MA 02543-1543 USA

On 1 November 2013 13:55, Jule <Ri...@gm...> wrote:
> Hey guys,
>
> I have a question regarding my plot.
> <http://matplotlib.1069221.n5.nabble.com/file/n42446/seaice.png>
> I want to plot seaice thickness distribution. The data is derived from a
> model run using an unstructured grid. To plot data on a map I use
> Triangulation and tricontourf. The problem I ́m facing now is, that due to
> the triangulation my data is interpolated, resulting in an ocean covered by
> a thin layer of sea ice everywehere, which is unrealistic! So my question
> is, is there a way to limit the interpolation to the maximum extend of my
> data? I did a plot with MATLAB just to let you know how it should look
> like.
> <http://matplotlib.1069221.n5.nabble.com/file/n42446/ice_thick_N.jpg>
>
> My code looks like this so far:
>
> triang = tri.Triangulation(x,y)
> fig = plt.figure()
> plt.tricontourf(triang, ee, levels = levs, extend = 'both')
> cbar=plt.colorbar(orientation = 'horizontal', ticks=[0, 1, 2, 3, 4])
> cbar.set_label('Seaice thickness [m]', size=20,fontname='Arial')
> fc=map.fillcontinents(color = 'grey')
>
> Since I ́m a beginner I would really appreciate any thoughts and
> suggestions!
> Thanks!
>
Try the following two changes, they should give you what you want.
1) Don't use extend='both' in your tricontourf call. This is explicitly
asking for all areas below 0 (your lowest level) to be coloured dark blue.
Use extend='max' instead to ignore areas that are below your lowest level.
2) Change your lowest level. It looks like you are using levs=[0.0, 0.5,
1.0, etc. The lowest levels that are contoured are therefore where z >=
0.0 and z < 0.5. This obviously includes all your non-sea ice areas as
they have z = 0.0. Change your first value in levs to be something
slightly greater than zero, e.g. 1e-10.
By the way, your question is slightly confusing as you talk about
interpolation, which has nothing to do with what you are seeing!
Ian

Hey guys,
I have a question regarding my plot. 
<http://matplotlib.1069221.n5.nabble.com/file/n42446/seaice.png> 
I want to plot seaice thickness distribution. The data is derived from a
model run using an unstructured grid. To plot data on a map I use
Triangulation and tricontourf. The problem I ́m facing now is, that due to
the triangulation my data is interpolated, resulting in an ocean covered by
a thin layer of sea ice everywehere, which is unrealistic! So my question
is, is there a way to limit the interpolation to the maximum extend of my
data? I did a plot with MATLAB just to let you know how it should look like. 
<http://matplotlib.1069221.n5.nabble.com/file/n42446/ice_thick_N.jpg> 
My code looks like this so far:
triang = tri.Triangulation(x,y)
fig = plt.figure()
plt.tricontourf(triang, ee, levels = levs, extend = 'both')
cbar=plt.colorbar(orientation = 'horizontal', ticks=[0, 1, 2, 3, 4])
cbar.set_label('Seaice thickness [m]', size=20,fontname='Arial')
fc=map.fillcontinents(color = 'grey')
Since I ́m a beginner I would really appreciate any thoughts and suggestions!
Thanks!
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Limiting-interpolation-of-map-plot-with-tricontourf-tp42446.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi
I have trying to follow the instruction to build Basemap (as per
http://matplotlib.org/basemap/users/installing.html). I am running Ubuntu
13.04, with Python 2.7.4.
I work through the guide, but when I try and execute the:
python setup.py install
inside the basemap directory, I get a very very long set of
messages/warnings, ending with:
collect2: error: ld returned 1 exit status
error: Command "x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1
-Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro
-fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes
-D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat
-Werror=format-security build/temp.linux-x86_64-2.7/src/_geoslib.o -lgeos_c
-lgeos -o build/lib.linux-x86_64-2.7/_geoslib.so" failed with exit status 1
And the test of:
from mpl_toolkits.basemap import Basemap
fails.
How do I proceed from here?
Thanks
Derek