matplotlib-users Mailing List for matplotlib (Page 2)

2006/10/27, Robert Elsner <ml...@re...>:
> Hello Everybody,
>
> I use the usual scipy + numpy + matplotlib combination for my daily
> work. Unfortunately after switching to Fedora Core 6 (from FC5) I am
> unable to compile matplotlib 0.87.6 on my system.
>

I am sure you allready know this, but matplotlib 0.87.6 is available
from fedora extra.

Best regards,
Trond

2006/10/26, Trond Danielsen <tro...@gm...>:
>
> I will have to check this, but I do not think that is the problem. The
> data is used in another algorithm which locates the correlation
> maximum between two sliding windows (to detect the start of a data
> msg), and the algorithm returns the correct result, only the plot is
> wrong.

I tried this again on Fedora Core 6, and the problem seems to be solved.

-- 
Trond Danielsen

Suresh,

This is baffling, and particularly annoying for someone just starting 
out with mpl.  I don't think there is any problem with the barchart 
code--the demo works for me with numarray--and I don't see anything 
obvious in the traceback. Are your matplotlib and numarray both from 
Mandriva packages?

I would be inclined to download numpy and matplotlib as nice, fresh 
tarballs, uninstall any previous versions (including numarray), build 
and install numpy, and then do the same for matplotlib.  If you have not 
done this before you will probably trip over some missing -devel 
packages (furnishing header files for python, gtk, etc), but once all 
that is straightened out it should go smoothly.

Eric

sto...@ya... wrote:
> I receive an error when trying to plot barcharts.  To confirm it was 
> nothing to do with my code, I tried running one of the demos provided and 
> received the same error:
> 
> $ python barchart_demo.py
> Traceback (most recent call last):
>    File "barchart_demo.py", line 11, in ?
>      p1 = bar(ind, menMeans, width, color='r', yerr=menStd)
>    File "/usr/lib64/python2.4/site-packages/matplotlib/pylab.py", line 
> 1641, in bar
>      ret =  gca().bar(*args, **kwargs)
>    File "/usr/lib64/python2.4/site-packages/matplotlib/axes.py", line 2485, 
> in bar
>      xerr = asarray([xerr]*nbars, Float)
>    File "/usr/lib64/python2.4/site-packages/numarray/numarraycore.py", line 
> 434, in asarray
>      return array(seq, type=type, typecode=typecode, copy=0, dtype=dtype)
>    File "/usr/lib64/python2.4/site-packages/numarray/numarraycore.py", line 
> 417, in array
>      return fromlist(sequence,type,shape)
>    File "/usr/lib64/python2.4/site-packages/numarray/numarraycore.py", line 
> 267, in fromlist
>      arr.fromlist(seq)
> ValueError: Invalid sequence.
> 
> Can't figure out the issue in numarray it is encountering.
> 
> I am brand spanking new to matplotlib and using python for scientific 
> computing (amazing product; can't believe I didn't know about it before.) 
> and would appreciate some help in getting started.  I apologise if it's 
> something basic (couldn't find anything on google).
> 
> python 2.4.3
> matplotlib 0.87.4
> numarray-1.5.2
> (Mandriva 2007 x64-64)
> 
> Thanks,
> Suresh
> 
> -------------------------------------------------------------------------
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> _______________________________________________
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This release is compiled against numpy-1.0 final.  The binaries are
fresh on sourceforge, so they may take some time to propagate to the
mirrors.

http://cheeseshop.python.org/pypi/matplotlib/
http://sourceforge.net/project/showfiles.php?group_id=80706&package_id=82474

Note: There is a compile error on python2.3 that will probably require
a slight modification to the released source.  Please allow some time
for us to fix this and post the binaries.

===============================================================
2006-10-26 Released 0.87.7 at revision 2835

2006-10-25 Made "tiny" kwarg in Locator.nonsingular much smaller - EF

2006-10-17 Closed sf bug 1562496 update line props dash/solid/cap/join
           styles - JDH

2006-10-17 Complete overhaul of the annotations API and example code -
           See matplotlib.text.Annotation and
           examples/annotation_demo.py JDH

2006-10-12 Committed Manuel Metz's StarPolygon code and
           examples/scatter_star_poly.py - JDH


2006-10-11 commented out all default values in matplotlibrc.template
           Default values should generally be taken from defaultParam in
           __init__.py - the file matplotlib should only contain those values
           that the user wants to explicitly change from the default.
           (see thread "marker color handling" on matplotlib-devel)

2006-10-10 Changed default comment character for load to '#' - JDH

2006-10-10 deactivated rcfile-configurability of markerfacecolor
           and markeredgecolor. Both are now hardcoded to the special value
	   'auto' to follow the line color. Configurability at run-time
	   (using function arguments) remains functional. - NN

2006-10-07 introduced dummy argument magnification=1.0 to
           FigImage.make_image to satisfy unit test figimage_demo.py
           The argument is not yet handled correctly, which should only
	   show up when using non-standard DPI settings in PS backend,
	   introduced by patch #1562394. - NN

2006-10-06 add backend-agnostic example: simple3d.py - NN

2006-09-29 fix line-breaking for SVG-inline images (purely cosmetic) - NN

2006-09-29 reworked set_linestyle and set_marker
	   markeredgecolor and markerfacecolor now default to
	   a special value "auto" that keeps the color in sync with
	   the line color
	   further, the intelligence of axes.plot is cleaned up,
	   improved and simplified. Complete compatibility cannot be
	   guaranteed, but the new behavior should be much more predictable
	   (see patch #1104615 for details) - NN

2006-09-29 changed implementation of clip-path in SVG to work around a
           limitation in inkscape - NN

2006-09-29 added two options to matplotlibrc:
	   svg.image_inline
	   svg.image_noscale
	   see patch #1533010 for details - NN

2006-09-29 axes.py: cleaned up kwargs checking - NN

2006-09-29 setup.py: cleaned up setup logic - NN

2006-09-29 setup.py: check for required pygtk versions, fixes bug #1460783 - SC

Suresh,

That example works fine for me, using python 2.4.3, mpl 0.87.5 under 
windows, and wxPython 2.6.3.3, with backend: WxAgg, numerix: numarray 
(1.5.1), interactive: False, and axes.hold: True in the RC file.

I'd recommend going with numpy instead of numarray, if you can. See 
http://numeric.numpy.org/ and http://scipy.org.

Martin

Suresh Pillai wrote:
> The exception I posted is being thrown by numarray, so it is definitely 
> being used.
> 
> As I stated, it was thrown while executing one of the examples provided 
> with the matplotlib package:
> 
> #!/usr/bin/env python
> # barchart_demo.py
> # a bar plot with errorbars
> from pylab import *
> 
> N = 5
> menMeans = (20, 35, 30, 35, 27)
> menStd =   (2, 3, 4, 1, 2)
> 
> ind = arange(N)  # the x locations for the groups
> width = 0.35       # the width of the bars
> p1 = bar(ind, menMeans, width, color='r', yerr=menStd)
> 
> womenMeans = (25, 32, 34, 20, 25)
> womenStd =   (3, 5, 2, 3, 3)
> p2 = bar(ind+width, womenMeans, width, color='y', yerr=womenStd)
> 
> ylabel('Scores')
> title('Scores by group and gender')
> xticks(ind+width, ('G1', 'G2', 'G3', 'G4', 'G5') )
> 
> legend( (p1[0], p2[0]), ('Men', 'Women') )
> 
> #savefig('barchart_demo')
> show()
> 
> Thanks,
> Suresh
> 
> On Thu, 26 Oct 2006, JDH wrote:
> 
>>>>>>> "stochashtic" == stochashtic  <sto...@ya...> writes:
>>    stochashtic> I am brand spanking new to matplotlib and using
>>    stochashtic> python for scientific computing (amazing product;
>>    stochashtic> can't believe I didn't know about it before.)  and
>>    stochashtic> would appreciate some help in getting started.  I
>>    stochashtic> apologise if it's something basic (couldn't find
>>    stochashtic> anything on google).
>>
>>    stochashtic> python 2.4.3 matplotlib 0.87.4 numarray-1.5.2
>>    stochashtic> (Mandriva 2007 x64-64)
>>
>> If you are using numarray, make sure your numerix setting in
>> matplotlibrc is
>>
>> numerix : numarray
>>
>> See http://matplotlib.sf.net/matplotlibrc
>>
>> You can check your numerix setting by passing the --verbose-helpful
>> flag at the command line.  You can also force numarray by passing
>> --numarray.
>>
>> Eg
>>
>>> python myscript.py --verbose-helpful --numarray
>> if this doesn't work, please post a complete example
>>
>> JDH
>>
> 
> -------------------------------------------------------------------------
> 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

And yes my numerix is set to numarray as default:

$ python barchart_demo.py --verbose-helpful
...
numerix numarray 1.5.2
...

Thanks,
Suresh



On Thu, 26 Oct 2006, Suresh Pillai wrote:

> The exception I posted is being thrown by numarray, so it is definitely
> being used.
>
> As I stated, it was thrown while executing one of the examples provided
> with the matplotlib package:
>
> #!/usr/bin/env python
> # barchart_demo.py
> # a bar plot with errorbars
> from pylab import *
>
> N = 5
> menMeans = (20, 35, 30, 35, 27)
> menStd =   (2, 3, 4, 1, 2)
>
> ind = arange(N)  # the x locations for the groups
> width = 0.35       # the width of the bars
> p1 = bar(ind, menMeans, width, color='r', yerr=menStd)
>
> womenMeans = (25, 32, 34, 20, 25)
> womenStd =   (3, 5, 2, 3, 3)
> p2 = bar(ind+width, womenMeans, width, color='y', yerr=womenStd)
>
> ylabel('Scores')
> title('Scores by group and gender')
> xticks(ind+width, ('G1', 'G2', 'G3', 'G4', 'G5') )
>
> legend( (p1[0], p2[0]), ('Men', 'Women') )
>
> #savefig('barchart_demo')
> show()
>
> Thanks,
> Suresh
>

Hello Everybody,

I use the usual scipy + numpy + matplotlib combination for my daily
work. Unfortunately after switching to Fedora Core 6 (from FC5) I am
unable to compile matplotlib 0.87.6 on my system.

The steps involved so far where:

* First building numpy 1.0 final (installing  blas,lapack,atlas 				and
corresponding -devel packages for dependencies)
Numpy tests run ok.

* then building scipy 0.5.1. No additional deps. Tests show a couple of
errors. I think they are unrelated and are already reported on the scipy
list.

* Installing the deps mentioned in the INSTALL file _except_
freetype-utils which is not in the FC6 repositories. It has been around
in FC5 so I assumed (still assume) it is merged into freetype.

(zlib, zlib-devel, libpng, libpng-devel, freetype, freetype-devel,
gtk2-devel, gtk+-devel, pygtk2, glib-devel, pygtk2-devel,
gnome-libs-devel, pygtk2-libglade tcl, tk, tkinter)

* Then I unpack the matplotlib-0.87.6.tar.gz and cd into the new dir.
Running python setup.py build doesn't work (details below). Then I
deleted the whole directory and unpacked again, this time changing the
numerix setting in setup.py to "numpy" (which is the array package I
would like to use). Again python setup.py build fails. The output is
located at the end of this mail.

Unfortunately the error message is not too descriptive so I have no clue
what to look for. Any help would be greatly appreciated.

Robert


OUTPUT

[robert@localhost matplotlib-0.87.6]$ python setup.py build
running build
running build_py
creating build
creating build/lib.linux-i686-2.4
copying lib/pylab.py -> build/lib.linux-i686-2.4
creating build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/texmanager.py -> build/lib.linux-i686-2.4/matplotl=
ib
copying lib/matplotlib/patches.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/_image.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/colors.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/transforms.py -> build/lib.linux-i686-2.4/matplotl=
ib
copying lib/matplotlib/finance.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/dates.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/colorbar.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/cm.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/widgets.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/windowing.py -> build/lib.linux-i686-2.4/matplotli=
b
copying lib/matplotlib/mathtext2.py -> build/lib.linux-i686-2.4/matplotli=
b
copying lib/matplotlib/pyparsing.py -> build/lib.linux-i686-2.4/matplotli=
b
copying lib/matplotlib/collections.py -> build/lib.linux-i686-2.4/matplot=
lib
copying lib/matplotlib/legend.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/axes3d.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/_cm.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/text.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/afm.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/agg.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/quiver.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/mlab.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/figure.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/table.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/_transforms.py -> build/lib.linux-i686-2.4/matplot=
lib
copying lib/matplotlib/contour.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/font_manager.py -> build/lib.linux-i686-2.4/matplo=
tlib
copying lib/matplotlib/image.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/backend_bases.py -> build/lib.linux-i686-2.4/matpl=
otlib
copying lib/matplotlib/cbook.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/nxutils.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/proj3d.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/art3d.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/_pylab_helpers.py -> build/lib.linux-i686-2.4/matp=
lotlib
copying lib/matplotlib/pylab.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/_mathtext_data.py -> build/lib.linux-i686-2.4/matp=
lotlib
copying lib/matplotlib/mathtext.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/ticker.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/axes.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/axis.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/__init__.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/artist.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/_contour.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/axis3d.py -> build/lib.linux-i686-2.4/matplotlib
copying lib/matplotlib/lines.py -> build/lib.linux-i686-2.4/matplotlib
creating build/lib.linux-i686-2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_cairo.py -> build/lib.linux-i686-=
2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_template.py -> build/lib.linux-i6=
86-2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_qtagg.py -> build/lib.linux-i686-=
2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_cocoaagg.py -> build/lib.linux-i6=
86-2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_agg.py -> build/lib.linux-i686-2.=
4/matplotlib/backends
copying lib/matplotlib/backends/backend_emf.py -> build/lib.linux-i686-2.=
4/matplotlib/backends
copying lib/matplotlib/backends/backend_gdk.py -> build/lib.linux-i686-2.=
4/matplotlib/backends
copying lib/matplotlib/backends/backend_gtk.py -> build/lib.linux-i686-2.=
4/matplotlib/backends
copying lib/matplotlib/backends/backend_wxagg.py -> build/lib.linux-i686-=
2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_pdf.py -> build/lib.linux-i686-2.=
4/matplotlib/backends
copying lib/matplotlib/backends/backend_qt4.py -> build/lib.linux-i686-2.=
4/matplotlib/backends
copying lib/matplotlib/backends/backend_svg.py -> build/lib.linux-i686-2.=
4/matplotlib/backends
copying lib/matplotlib/backends/backend_qt4agg.py -> build/lib.linux-i686=
-2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_agg2.py -> build/lib.linux-i686-2=
.4/matplotlib/backends
copying lib/matplotlib/backends/backend_tkagg.py -> build/lib.linux-i686-=
2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_gtkagg.py -> build/lib.linux-i686=
-2.4/matplotlib/backends
copying lib/matplotlib/backends/__init__.py -> build/lib.linux-i686-2.4/m=
atplotlib/backends
copying lib/matplotlib/backends/backend_fltkagg.py -> build/lib.linux-i68=
6-2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_gd.py -> build/lib.linux-i686-2.4=
/matplotlib/backends
copying lib/matplotlib/backends/backend_paint.py -> build/lib.linux-i686-=
2.4/matplotlib/backends
copying lib/matplotlib/backends/backend_ps.py -> build/lib.linux-i686-2.4=
/matplotlib/backends
copying lib/matplotlib/backends/backend_qt.py -> build/lib.linux-i686-2.4=
/matplotlib/backends
copying lib/matplotlib/backends/backend_wx.py -> build/lib.linux-i686-2.4=
/matplotlib/backends
copying lib/matplotlib/backends/tkagg.py -> build/lib.linux-i686-2.4/matp=
lotlib/backends
copying lib/matplotlib/backends/backend_gtkcairo.py -> build/lib.linux-i6=
86-2.4/matplotlib/backends
creating build/lib.linux-i686-2.4/matplotlib/toolkits
copying lib/matplotlib/toolkits/__init__.py -> build/lib.linux-i686-2.4/m=
atplotlib/toolkits
creating build/lib.linux-i686-2.4/matplotlib/numerix
copying lib/matplotlib/numerix/_nc_imports.py -> build/lib.linux-i686-2.4=
/matplotlib/numerix
copying lib/matplotlib/numerix/_sp_imports.py -> build/lib.linux-i686-2.4=
/matplotlib/numerix
copying lib/matplotlib/numerix/_na_imports.py -> build/lib.linux-i686-2.4=
/matplotlib/numerix
copying lib/matplotlib/numerix/__init__.py -> build/lib.linux-i686-2.4/ma=
tplotlib/numerix
creating build/lib.linux-i686-2.4/matplotlib/numerix/mlab
copying lib/matplotlib/numerix/mlab/__init__.py -> build/lib.linux-i686-2=
.4/matplotlib/numerix/mlab
creating build/lib.linux-i686-2.4/matplotlib/numerix/ma
copying lib/matplotlib/numerix/ma/__init__.py -> build/lib.linux-i686-2.4=
/matplotlib/numerix/ma
creating build/lib.linux-i686-2.4/matplotlib/numerix/linear_algebra
copying lib/matplotlib/numerix/linear_algebra/__init__.py -> build/lib.li=
nux-i686-2.4/matplotlib/numerix/linear_algebra
creating build/lib.linux-i686-2.4/matplotlib/numerix/random_array
copying lib/matplotlib/numerix/random_array/__init__.py -> build/lib.linu=
x-i686-2.4/matplotlib/numerix/random_array
creating build/lib.linux-i686-2.4/matplotlib/numerix/fft
copying lib/matplotlib/numerix/fft/__init__.py -> build/lib.linux-i686-2.=
4/matplotlib/numerix/fft
creating build/lib.linux-i686-2.4/matplotlib/enthought
copying lib/matplotlib/enthought/__init__.py -> build/lib.linux-i686-2.4/=
matplotlib/enthought
creating build/lib.linux-i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/trait_base.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/traits.py -> build/lib.linux-i686=
-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/trait_handlers.py -> build/lib.li=
nux-i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/standard.py -> build/lib.linux-i6=
86-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/trait_notifiers.py -> build/lib.l=
inux-i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/trait_numeric.py -> build/lib.lin=
ux-i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/trait_errors.py -> build/lib.linu=
x-i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/info_traits.py -> build/lib.linux=
-i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/trait_db.py -> build/lib.linux-i6=
86-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/has_traits.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/__init__.py -> build/lib.linux-i6=
86-2.4/matplotlib/enthought/traits
copying lib/matplotlib/enthought/traits/category.py -> build/lib.linux-i6=
86-2.4/matplotlib/enthought/traits
creating build/lib.linux-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/ui_info.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/ui_traits.py -> build/lib.linu=
x-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/view_element.py -> build/lib.l=
inux-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/ui.py -> build/lib.linux-i686-=
2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/toolkit.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/editor.py -> build/lib.linux-i=
686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/group.py -> build/lib.linux-i6=
86-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/menu.py -> build/lib.linux-i68=
6-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/handler.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/view_elements.py -> build/lib.=
linux-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/help.py -> build/lib.linux-i68=
6-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/undo.py -> build/lib.linux-i68=
6-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/view.py -> build/lib.linux-i68=
6-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/tree_node.py -> build/lib.linu=
x-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/include.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/editors.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/editor_factory.py -> build/lib=
.linux-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/__init__.py -> build/lib.linux=
-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/help_template.py -> build/lib.=
linux-i686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/helper.py -> build/lib.linux-i=
686-2.4/matplotlib/enthought/traits/ui
copying lib/matplotlib/enthought/traits/ui/item.py -> build/lib.linux-i68=
6-2.4/matplotlib/enthought/traits/ui
creating build/lib.linux-i686-2.4/matplotlib/enthought/traits/ui/null
copying lib/matplotlib/enthought/traits/ui/null/font_trait.py -> build/li=
b.linux-i686-2.4/matplotlib/enthought/traits/ui/null
copying lib/matplotlib/enthought/traits/ui/null/toolkit.py -> build/lib.l=
inux-i686-2.4/matplotlib/enthought/traits/ui/null
copying lib/matplotlib/enthought/traits/ui/null/rgb_color_trait.py -> bui=
ld/lib.linux-i686-2.4/matplotlib/enthought/traits/ui/null
copying lib/matplotlib/enthought/traits/ui/null/color_trait.py -> build/l=
ib.linux-i686-2.4/matplotlib/enthought/traits/ui/null
copying lib/matplotlib/enthought/traits/ui/null/rgba_color_trait.py -> bu=
ild/lib.linux-i686-2.4/matplotlib/enthought/traits/ui/null
copying lib/matplotlib/enthought/traits/ui/null/__init__.py -> build/lib.=
linux-i686-2.4/matplotlib/enthought/traits/ui/null
creating build/lib.linux-i686-2.4/matplotlib/enthought/resource
copying lib/matplotlib/enthought/resource/resource_manager.py -> build/li=
b.linux-i686-2.4/matplotlib/enthought/resource
copying lib/matplotlib/enthought/resource/resource_reference.py -> build/=
lib.linux-i686-2.4/matplotlib/enthought/resource
copying lib/matplotlib/enthought/resource/resource_factory.py -> build/li=
b.linux-i686-2.4/matplotlib/enthought/resource
copying lib/matplotlib/enthought/resource/resource_path.py -> build/lib.l=
inux-i686-2.4/matplotlib/enthought/resource
copying lib/matplotlib/enthought/resource/__init__.py -> build/lib.linux-=
i686-2.4/matplotlib/enthought/resource
creating build/lib.linux-i686-2.4/matplotlib/enthought/util
copying lib/matplotlib/enthought/util/resource.py -> build/lib.linux-i686=
-2.4/matplotlib/enthought/util
copying lib/matplotlib/enthought/util/__init__.py -> build/lib.linux-i686=
-2.4/matplotlib/enthought/util
running build_ext
building 'matplotlib._isnan' extension
C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -g -pipe -Wall=
 -Wp,-D_FORTIFY_SOURCE=3D2 -fexceptions -fstack-protector --param=3Dssp-b=
uffer-size=3D4 -m32 -march=3Di386 -mtune=3Dgeneric -fasynchronous-unwind-=
tables -D_GNU_SOURCE -fPIC -fPIC

creating build/temp.linux-i686-2.4
creating build/temp.linux-i686-2.4/src
compile options: '-I/usr/local/include -I/usr/include -I. -I/usr/include/=
python2.4 -c'
gcc: src/_isnan.c
gcc -pthread -shared build/temp.linux-i686-2.4/src/_isnan.o -L/usr/local/=
lib -L/usr/lib -o build/lib.linux-i686-2.4/matplotlib/_isnan.so
building 'matplotlib._agg' extension
C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -g -pipe -Wall=
 -Wp,-D_FORTIFY_SOURCE=3D2 -fexceptions -fstack-protector --param=3Dssp-b=
uffer-size=3D4 -m32 -march=3Di386 -mtune=3Dgeneric -fasynchronous-unwind-=
tables -D_GNU_SOURCE -fPIC -fPIC

creating build/temp.linux-i686-2.4/agg23
creating build/temp.linux-i686-2.4/agg23/src
compile options: '-Iagg23/include -Isrc -Iswig -I/usr/include/python2.4 -=
c'
gcc: agg23/src/agg_trans_affine.cpp
gcc: src/agg.cxx
agg23/include/agg_conv_curve.h: In member function =E2=80=98unsigned int =
agg::conv_curve<VertexSource>::vertex(double*, double*) [with VertexSourc=
e =3D agg::path_storage]=E2=80=99:
agg23/include/agg_conv_curve.h:123: warning: =E2=80=98end_y=E2=80=99 may =
be used uninitialized in this function
agg23/include/agg_conv_curve.h:122: warning: =E2=80=98end_x=E2=80=99 may =
be used uninitialized in this function
agg23/include/agg_conv_curve.h:121: warning: =E2=80=98ct2_y=E2=80=99 may =
be used uninitialized in this function
agg23/include/agg_conv_curve.h:120: warning: =E2=80=98ct2_x=E2=80=99 may =
be used uninitialized in this function
agg23/include/agg_conv_curve.h: In member function =E2=80=98unsigned int =
agg::conv_curve<VertexSource>::vertex(double*, double*) [with VertexSourc=
e =3D agg::conv_transform<agg::path_storage, agg::trans_affine>]=E2=80=99=
:
agg23/include/agg_conv_curve.h:123: warning: =E2=80=98end_y=E2=80=99 may =
be used uninitialized in this function
agg23/include/agg_conv_curve.h:122: warning: =E2=80=98end_x=E2=80=99 may =
be used uninitialized in this function
agg23/include/agg_conv_curve.h:121: warning: =E2=80=98ct2_y=E2=80=99 may =
be used uninitialized in this function
agg23/include/agg_conv_curve.h:120: warning: =E2=80=98ct2_x=E2=80=99 may =
be used uninitialized in this function
gcc: agg23/src/agg_rasterizer_scanline_aa.cpp
gcc: agg23/src/agg_path_storage.cpp
gcc: agg23/src/agg_bezier_arc.cpp
gcc: agg23/src/agg_vcgen_stroke.cpp
gcc: agg23/src/agg_vcgen_dash.cpp
gcc: agg23/src/agg_curves.cpp
c++ -pthread -shared build/temp.linux-i686-2.4/src/agg.o build/temp.linux=
-i686-2.4/agg23/src/agg_trans_affine.o build/temp.linux-i686-2.4/agg23/sr=
c/agg_path_storage.o build/temp.linux-i686-2.4/agg23/src/agg_bezier_arc.o=
 build/temp.linux-i686-2.4/agg23/src/agg_vcgen_dash.o build/temp.linux-i6=
86-2.4/agg23/src/agg_vcgen_stroke.o build/temp.linux-i686-2.4/agg23/src/a=
gg_rasterizer_scanline_aa.o build/temp.linux-i686-2.4/agg23/src/agg_curve=
s.o -lstdc++ -lm -o build/lib.linux-i686-2.4/matplotlib/_agg.so
building 'matplotlib._nc_transforms' extension
C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -g -pipe -Wall=
 -Wp,-D_FORTIFY_SOURCE=3D2 -fexceptions -fstack-protector --param=3Dssp-b=
uffer-size=3D4 -m32 -march=3Di386 -mtune=3Dgeneric -fasynchronous-unwind-=
tables -D_GNU_SOURCE -fPIC -fPIC

creating build/temp.linux-i686-2.4/CXX
compile options: '-Isrc -I. -I/usr/local/include -I/usr/include -I. -I/us=
r/include/python2.4 -c'
extra options: '-DNUMERIC=3D1'
gcc: CXX/IndirectPythonInterface.cxx
gcc: CXX/cxx_extensions.cxx
./CXX/Objects.hxx:1938: error: parse error in template argument list
./CXX/Extensions.hxx: In constructor =E2=80=98Py::PythonExtension<T>::Pyt=
honExtension() [with T =3D Py::ExtensionModuleBasePtr]=E2=80=99:
CXX/cxx_extensions.cxx:90:   instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no eff=
ect
./CXX/Objects.hxx:1938: error: parse error in template argument list
./CXX/Extensions.hxx: In constructor =E2=80=98Py::PythonExtension<T>::Pyt=
honExtension() [with T =3D Py::ExtensionModuleBasePtr]=E2=80=99:
CXX/cxx_extensions.cxx:90:   instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no eff=
ect
error: Command "gcc -pthread -fno-strict-aliasing -DNDEBUG -O2 -g -pipe -=
Wall -Wp,-D_FORTIFY_SOURCE=3D2 -fexceptions -fstack-protector --param=3Ds=
sp-buffer-size=3D4 -m32 -march=3Di386 -mtune=3Dgeneric -fasynchronous-unw=
ind-tables -D_GNU_SOURCE -fPIC -fPIC -Isrc -I. -I/usr/local/include -I/us=
r/include -I. -I/usr/include/python2.4 -c CXX/cxx_extensions.cxx -o build=
/temp.linux-i686-2.4/CXX/cxx_extensions.o -DNUMERIC=3D1" failed with exit=
 status 1
[robert@localhost matplotlib-0.87.6]$=20

The exception I posted is being thrown by numarray, so it is definitely 
being used.

As I stated, it was thrown while executing one of the examples provided 
with the matplotlib package:

#!/usr/bin/env python
# barchart_demo.py
# a bar plot with errorbars
from pylab import *

N = 5
menMeans = (20, 35, 30, 35, 27)
menStd =   (2, 3, 4, 1, 2)

ind = arange(N)  # the x locations for the groups
width = 0.35       # the width of the bars
p1 = bar(ind, menMeans, width, color='r', yerr=menStd)

womenMeans = (25, 32, 34, 20, 25)
womenStd =   (3, 5, 2, 3, 3)
p2 = bar(ind+width, womenMeans, width, color='y', yerr=womenStd)

ylabel('Scores')
title('Scores by group and gender')
xticks(ind+width, ('G1', 'G2', 'G3', 'G4', 'G5') )

legend( (p1[0], p2[0]), ('Men', 'Women') )

#savefig('barchart_demo')
show()

Thanks,
Suresh

On Thu, 26 Oct 2006, JDH wrote:

>>>>>> "stochashtic" == stochashtic  <sto...@ya...> writes:
>
>    stochashtic> I am brand spanking new to matplotlib and using
>    stochashtic> python for scientific computing (amazing product;
>    stochashtic> can't believe I didn't know about it before.)  and
>    stochashtic> would appreciate some help in getting started.  I
>    stochashtic> apologise if it's something basic (couldn't find
>    stochashtic> anything on google).
>
>    stochashtic> python 2.4.3 matplotlib 0.87.4 numarray-1.5.2
>    stochashtic> (Mandriva 2007 x64-64)
>
> If you are using numarray, make sure your numerix setting in
> matplotlibrc is
>
> numerix : numarray
>
> See http://matplotlib.sf.net/matplotlibrc
>
> You can check your numerix setting by passing the --verbose-helpful
> flag at the command line.  You can also force numarray by passing
> --numarray.
>
> Eg
>
>> python myscript.py --verbose-helpful --numarray
>
> if this doesn't work, please post a complete example
>
> JDH
>

Hi,

I've been building matplotlib 0.87.7 on a 10.4.7 OS X system, with   
Universal Python 2.4.3 from pythonmac.org. I've been following  
instructions at

http://sourceforge.net/mailarchive/message.php?msg_id=36901627

to create a universal library, downloading and compiling my own  
libpng and libfreetype. I don't have GTK or wxPython, so the backend  
is Tk by default.

Matplotlib will crash on show() [a white window will briefly show,  
and then disappear] as in

import pylab
pylab.plot([1,2,3])
pylab.show()

with

alloc: invalid block: 0xabc3fc9c: 9b 8 0
Abort trap

I think I'm using the "system" Tk (but how to check?)

Any input welcome... I suppose I could get other backends, but I  
would be interested in figuring this out with Tk.

Michele

>>>>> "stochashtic" == stochashtic  <sto...@ya...> writes:

    stochashtic> I am brand spanking new to matplotlib and using
    stochashtic> python for scientific computing (amazing product;
    stochashtic> can't believe I didn't know about it before.)  and
    stochashtic> would appreciate some help in getting started.  I
    stochashtic> apologise if it's something basic (couldn't find
    stochashtic> anything on google).

    stochashtic> python 2.4.3 matplotlib 0.87.4 numarray-1.5.2
    stochashtic> (Mandriva 2007 x64-64)

If you are using numarray, make sure your numerix setting in
matplotlibrc is 

numerix : numarray

See http://matplotlib.sf.net/matplotlibrc

You can check your numerix setting by passing the --verbose-helpful
flag at the command line.  You can also force numarray by passing
--numarray.

Eg

> python myscript.py --verbose-helpful --numarray

if this doesn't work, please post a complete example

JDH

I receive an error when trying to plot barcharts.  To confirm it was 
nothing to do with my code, I tried running one of the demos provided and 
received the same error:

$ python barchart_demo.py
Traceback (most recent call last):
   File "barchart_demo.py", line 11, in ?
     p1 = bar(ind, menMeans, width, color='r', yerr=menStd)
   File "/usr/lib64/python2.4/site-packages/matplotlib/pylab.py", line 
1641, in bar
     ret =  gca().bar(*args, **kwargs)
   File "/usr/lib64/python2.4/site-packages/matplotlib/axes.py", line 2485, 
in bar
     xerr = asarray([xerr]*nbars, Float)
   File "/usr/lib64/python2.4/site-packages/numarray/numarraycore.py", line 
434, in asarray
     return array(seq, type=type, typecode=typecode, copy=0, dtype=dtype)
   File "/usr/lib64/python2.4/site-packages/numarray/numarraycore.py", line 
417, in array
     return fromlist(sequence,type,shape)
   File "/usr/lib64/python2.4/site-packages/numarray/numarraycore.py", line 
267, in fromlist
     arr.fromlist(seq)
ValueError: Invalid sequence.

Can't figure out the issue in numarray it is encountering.

I am brand spanking new to matplotlib and using python for scientific 
computing (amazing product; can't believe I didn't know about it before.) 
and would appreciate some help in getting started.  I apologise if it's 
something basic (couldn't find anything on google).

python 2.4.3
matplotlib 0.87.4
numarray-1.5.2
(Mandriva 2007 x64-64)

Thanks,
Suresh

>>>>> "Karl" == Karl Guertin <gra...@gm...> writes:

    Karl> I have a very customized matplotlibrc for rendering charts
    Karl> for web pages. The biggest change is that I render
    Karl> everything white on black by default. This has worked fine
    Karl> up through 0.87.5 (the last release I grabbed) but in
    Karl> 0.87.7, the ticks on the axes are black (the axes color is
    Karl> white). Am I missing a setting somewhere or is this a bug?


This looks like it may be a bug introduced by some recent changes
Norbert made to the rc handling, but hard to say.

Make sure matplotlib is picking up the rc file you think it is by
running with --verbose-helpful and if so, send that file along and
we'll take a look.

JDH

I have a very customized matplotlibrc for rendering charts for web
pages. The biggest change is that I render everything white on black
by default. This has worked fine up through 0.87.5 (the last release I
grabbed) but in 0.87.7, the ticks on the axes are black (the axes
color is white). Am I missing a setting somewhere or is this a bug?

>>>>> "David" == David Huard <dav...@gm...> writes:

    David> Hi, is there a limit to the number of times one can call
    David> ax.plot(x,y) ?

No, but if you are making a lot of them, say over 100, then
performance will start to suffer, and you may be better off with a
LineCollection.  plot (which creates a Line2D) is good for making a
few lines with possibly very many points each, and LineCollection is
good for generating lots of line (or segments) with not too many
points each.

JDH

On 26/10/06, Christian Meesters <mee...@un...> wrote:
> Hi,
>
> I'm producing eps files using matplotlib (current version) on a linux box with
> SuSE 10.0. Whenever I view those files with a standard viewer on that machine
> or try to embed it in a latex document there is no problem.
>
> Now I've copied these files on a Windows machine and I opened them in Adobe
> Photoshop (9.0 CS2) and no numbers and no text is visible - not in the
> legends, the labels, title, etc and regardless of whether I'm producing these
> digits / letters with or without TeX.
>
> Is this a known problem? Any workaround known?

I've never tried importing eps files into Photoshop, so I couldn't
comment on that (I would imagine Adobe would be quite good at it!).
However, one possible workaround since you're importing into an image
editor would be to use ghostscript or eps2png to convert the eps to a
PNG or whatever before importing.

Hope that helps,

Al

Hi,

I'm producing eps files using matplotlib (current version) on a linux box with 
SuSE 10.0. Whenever I view those files with a standard viewer on that machine 
or try to embed it in a latex document there is no problem.

Now I've copied these files on a Windows machine and I opened them in Adobe 
Photoshop (9.0 CS2) and no numbers and no text is visible - not in the 
legends, the labels, title, etc and regardless of whether I'm producing these 
digits / letters with or without TeX.

Is this a known problem? Any workaround known?

TIA
Regards,
Christian

Hi Derek,
yes you can, because you've got an axes instance:

freq, axe=3D windrose.windplot( ...
setp(axe.thetagridlabels,fontsize=3D16) #for directions
setp(axe.rgridlabels,fontsize=3D10) #for values

I want to change how windrose is called and controled, like all others=20
matplotlib graphs. Maybe in 0.6.


Le jeudi 26 octobre 2006 08:34, Derek Hohls a =E9crit=A0:
> Lionel
>
> Is it possible to change the font sizes on the
> (a) direction labels (N, S, E, W)
> (b)  % values labelling the rings?
>
> Thanks
> Derek

=2D-=20
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr

2006/10/25, Darren Dale <dd...@co...>:
> Could this be a data type issue?
>
> from numpy import arange
> arange(120, 130, dtype=Int8)
>
> Out: array([ 120,  121,  122,  123,  124,  125,  126,  127, -128, -127],
> dtype=int8)
>

I will have to check this, but I do not think that is the problem. The
data is used in another algorithm which locates the correlation
maximum between two sliding windows (to detect the start of a data
msg), and the algorithm returns the correct result, only the plot is
wrong.


-- 
Trond Danielsen

Lionel
 
Is it possible to change the font sizes on the 
(a) direction labels (N, S, E, W)
(b)  % values labelling the rings?
 
Thanks
Derek


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and is believed to be clean.

Could this be a data type issue?

from numpy import arange
arange(120, 130, dtype=Int8)

Out: array([ 120,  121,  122,  123,  124,  125,  126,  127, -128, -127], 
dtype=int8)


On Wednesday 25 October 2006 09:51, John Hunter wrote:
> >>>>> "Trond" == Trond Danielsen <tro...@gm...> writes:
>
>     Trond> Hello everyone!  I have a problem with matplotlib: If the
>     Trond> input data has values larger than 130, the graph wraps
>     Trond> around. Is this a known problem?
>
>     Trond> I am using matplotlib 0.87.3 on fedora core 5.  -- Trond
>     Trond> Danielsen
>
> I've never seen this before.  Can you provide a free-standing,
> complete example?
>
> JDH
>
> -------------------------------------------------------------------------
> Using Tomcat but need to do more? Need to support web services, security?
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> _______________________________________________
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-- 
Darren S. Dale, Ph.D.
Staff Scientist
Cornell High Energy Synchrotron Source
Cornell University
275 Wilson Lab
Rt. 366 & Pine Tree Road
Ithaca, NY 14853

dd...@co...
office: (607) 255-3819
fax: (607) 255-9001
http://www.chess.cornell.edu

David Huard wrote:
> Hi,
> is there a limit to the number of times one can call ax.plot(x,y) ?

None that I can see; if you seem to be running into such a limit, then 
it sounds like a bug.

Eric

I'm trying to run a program that plot experimental datas during measurement
(to check if experiment is okay). I started doing directly measuring one
point and plotting it

import matplotlib
matplotlib.use('TkAgg')
...
from pylab import *
...
ion()
while cond:
    measure()
    plot(X[-1:],Y[-1:],"o") #plot data point

1) with ipython, the graph stays hidden by the ipython window
lauching by direct double click, it is okay plot is not hidden but after 2
click on the plotting window, it freezes or if I try to move the window, it
does not move then the plot window is "not responding" anymore.

I thought I would solve this using a seperate thread for the plot. I tried
but no chance

class update_plot(threading.Thread):
    def run(self):
        global X,Y,end
        xlabel('X')
        ylabel('Y')
        title('Y(X)')
        grid(True)
        ion()
        while end!=1:
            plot(X[-1:],Y[-1:],"o")
            #show()
            time.sleep(0.2)



I've seen the FAQ and some few mails in the list, I didn't really get the
way to solve this problem ?

If not possible, maybe I could look for other options for plotting but I
wouldn't like. I'm pretty much accostumed to matplotlib (usually working on
linux were there is not that problem or limitation).


At first glance the only matplotlib example that works OK is
dynamic_demo_wx.py

I think I shall learn a bit of wxpython and adapt dynamic_demo_wx.py for my
case?

Hi,
is there a limit to the number of times one can call ax.plot(x,y) ?

Thanks,

David

Hello all.  I'm a long time MATLAB user and relatively new Python user who
has decided to take the plunge and try MPL.  My workstation is an Ultra 60
running Solaris 10 (6/06) with Sun Studio 11.  I have compiled and installed
Python 2.5, numpy1.0rc3 and scipy 0.5.1 all with the Sun compilers.  I would
like to install MPL with the TkAgg frontend, and compile it with the Sun
compiler.

So far, it doesn't work.  I have the following environment variables in my
.profile pointing to the Sun compilers:
export CC=/opt/SUNWspro/bin/cc
export CXX=/opt/SUNWspro/bin/CC
but MPL tries to always compile with the C compiler!  I try tricking it by
pointing the CC variable to the CXX path.  This works, at first.  The output
follows.  I read this as meaning that there are two problems: one is that
MPL doesn't have an understanding of separate executibles for C and C++, and
the other is that there is some sort of incompatibility between Sun's C++
compiler and SWIG.  Are there any Sun people out there that have some
thoughts (or success stories they can share?)

Thanks in advance,
Mike M.

bash-3.00$ python setup.py build
GTK requires pygtk
GTKAgg requires pygtk
running build
running build_py
running build_ext
building 'matplotlib._agg' extension
C compiler: /opt/SUNWspro/bin/CC -DNDEBUG -O -xcode=pic32

compile options: '-Iagg23/include -Isrc -Iswig
-I/usr/local/include/python2.5 -c'
CC: agg23/src/agg_trans_affine.cpp
CC: agg23/src/agg_vcgen_stroke.cpp
CC: agg23/src/agg_vcgen_dash.cpp
CC: agg23/src/agg_rasterizer_scanline_aa.cpp
CC: agg23/src/agg_path_storage.cpp
CC: agg23/src/agg_curves.cpp
CC: src/agg.cxx
"swig/agg_buffer.h", line 26: Warning: height hides agg::buffer::height.
"swig/agg_buffer.h", line 26: Warning: stride hides agg::buffer::stride.
 >> Signal 11:
    while processing src/agg.cxx at line 24137.
"swig/agg_buffer.h", line 26: Warning: height hides agg::buffer::height.
"swig/agg_buffer.h", line 26: Warning: stride hides agg::buffer::stride.
 >> Signal 11:
    while processing src/agg.cxx at line 24137.
error: Command "/opt/SUNWspro/bin/CC -DNDEBUG -O -xcode=pic32
-Iagg23/include -Isrc -Iswig -I/usr/local/include/python2.5 -c src/agg.cxx
-o build/temp.solaris-2.10-sun4u-2.5/src/agg.o" failed with exit status 1

>>>>> "Trond" == Trond Danielsen <tro...@gm...> writes:

    Trond> Hello everyone!  I have a problem with matplotlib: If the
    Trond> input data has values larger than 130, the graph wraps
    Trond> around. Is this a known problem?

    Trond> I am using matplotlib 0.87.3 on fedora core 5.  -- Trond
    Trond> Danielsen

I've never seen this before.  Can you provide a free-standing,
complete example?

JDH