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      From: Charlie M. <cw...@gm...> - 2006-10-26 23:44:19
      
     
   | 
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  | 
| 
     
      
      
      From: Martin S. <sc...@ms...> - 2006-10-26 23:10:20
      
     
   | 
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  | 
| 
     
      
      
      From: Suresh P. <sto...@ya...> - 2006-10-26 22:53:35
      
     
   | 
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
>
 | 
| 
     
      
      
      From: Robert E. <ml...@re...> - 2006-10-26 22:19:41
      
     
   | 
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  | 
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      From: Suresh P. <sto...@ya...> - 2006-10-26 22:16:12
      
     
   | 
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
>
 | 
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      From: Michele V. <Mic...@jp...> - 2006-10-26 22:05:38
      
     
   | 
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  | 
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      From: John H. <jdh...@ac...> - 2006-10-26 21:47:27
      
     
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>>>>> "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
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      From: <sto...@ya...> - 2006-10-26 21:11:21
      
     
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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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      From: John H. <jdh...@ac...> - 2006-10-26 19:44:44
      
     
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>>>>> "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
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      From: Karl G. <gra...@gm...> - 2006-10-26 19:32:34
      
     
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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?  | 
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      From: John H. <jdh...@ac...> - 2006-10-26 16:01:22
      
     
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>>>>> "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
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      From: A. S. B. <ab...@gm...> - 2006-10-26 15:43:46
      
     
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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  | 
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      From: Christian M. <mee...@un...> - 2006-10-26 12:03:42
      
     
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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  | 
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      From: Lionel R. <lro...@li...> - 2006-10-26 10:17:05
      
     
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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  | 
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      From: Trond D. <tro...@gm...> - 2006-10-26 08:34:19
      
     
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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  | 
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      From: Derek H. <DH...@cs...> - 2006-10-26 06:35:37
      
     
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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 -- This message is subject to the CSIR's copyright, terms and conditions and e-mail legal notice. Views expressed herein do not necessarily represent the views of the CSIR. CSIR E-mail Legal Notice http://mail.csir.co.za/CSIR_eMail_Legal_Notice.html CSIR Copyright, Terms and Conditions http://mail.csir.co.za/CSIR_Copyright.html For electronic copies of the CSIR Copyright, Terms and Conditions and the CSIR Legal Notice send a blank message with REQUEST LEGAL in the subject line to Cal...@cs.... This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.  |