matplotlib-users Mailing List for matplotlib (Page 2)

>>>>> "Tony" == Tony Mannucci <Ton...@jp...> writes:
 Tony> John, Thanks for the answer.
 Tony> My prime mistake was to assume that matlab behavior is
 Tony> mimicked in matplotlib. (I am not saying it should
 Tony> be!). matlab has a Line object and this includes the
 Tony> markers. So, what I called "bugs" was based on a false
 Tony> expectation. The matlab version of the code will produce
 Tony> lines and symbols of the same color.
 Tony> I will spend more time with the matplotlib manual and learn
 Tony> the differences with matlab, and make progress that way.
Hmm, I didn't know matlab behaved this way. I know matlab does have
color, markerfacecolor and margeredgecolor, so I assumed that they
would be controlled independently. So the behavior is
 set(l, 'color', 'red')
and both the linestyle and markercolor are changed?
JDH

> Now on to the bug. There seems to be a problem in the new colorbar
> with the extend keyword in matplotlib version 0.87.3.
>
> The colors/labels on the colorbar are screwed up if I do contourf
> plots of arrays in which all of the values are below the minimum
> contour or above the maximum contour.
As someone pointed out to me, this bug is squashed in the subversion. 
Sorry for clogging up your inboxes.

John,
Thanks for the answer.
My prime mistake was to assume that matlab behavior is mimicked in 
matplotlib. (I am not saying it should be!). matlab has a Line object 
and this includes the markers. So, what I called "bugs" was based on 
a false expectation. The matlab version of the code will produce 
lines and symbols of the same color.
I will spend more time with the matplotlib manual and learn the 
differences with matlab, and make progress that way.
Thanks again,
-Tony
>PLT.hold(False)
>PLT.plot(x,y,'+',color='k',linestyle='--')
>
> Tony> ***Symbol is blue (wrong), line is dashed and black (right)
>
>A single line object can have a linestyle and a marker and their
>colors are independent. The "color" kwarg applies to the linestyle.
>The markerfacecolor and markeredgecolor kwargs control the marker
>color.
>
-- 
Tony Mannucci
Supervisor, Ionospheric and Atmospheric Remote Sensing Group
 Mail-Stop 138-308, Tel > (818) 354-1699
 Jet Propulsion Laboratory, Fax > (818) 393-5115
 California Institute of Technology, Email > Ton...@jp...
 4800 Oak Grove Drive, http://genesis.jpl.nasa.gov
 Pasadena, CA 91109

<insert praise>I first want to thank you for the awesome plotting 
package. I used it to generate some figures for a recent publication 
in Geophysical Research Letters.</insert praise>
Now on to the bug. There seems to be a problem in the new colorbar 
with the extend keyword in matplotlib version 0.87.3. 
The colors/labels on the colorbar are screwed up if I do contourf 
plots of arrays in which all of the values are below the minimum 
contour or above the maximum contour.
I've illustrated the problem using the simple script below. (scroll 
farther down to see the png attachment)
* Left plot has array values within the minimum and maximum contours 
and the colorbar is okay.
* Middle plot has array values lower than the smallest contour. The 
uppermost color in the colorbar is incorrect (it should be black, not 
green).
* Right plot has array values higher than the largest contour. The 
lower color in the colorbar is incorrect and the labels are in the 
wrong positions.
#--------begin script--------#
from pylab import *
palette = cm.jet
palette.set_over('black', 1.0)
palette.set_under('white', 1.0)
x = y = arange(-3.0, 3.0, 0.5)
X, Y = meshgrid(x, y)
Z = X + Y
conts = [-4,-3,-2,-1,0,1,2,3]
fig = figure(figsize=(12,4))
subplot(131)
plt = contourf(X, Y, Z, conts, cmap=palette, extend='both')
colorbar(plt, extend='both', shrink=0.8)
subplot(132)
plt = contourf(X, Y, Z-10, conts, cmap=palette, extend='both')
colorbar(plt, extend='both', shrink=0.8)
subplot(133)
plt = contourf(X, Y, Z+10, conts, cmap=palette, extend='both')
colorbar(plt, extend='both', shrink=0.8)
show()
#---------end script---------#

On 2006年6月28日, James Carroll apparently wrote:=20
> My final distribution is 47MB in 840 files. Does anyone=20
> have an example that does even better?=20
I think PyInstaller is supposed to help with this problem:
http://pyinstaller.hpcf.upr.edu/
But I have not used it.
Cheers,
Alan Isaac

On 6/28/06, G=E9za Groma <gr...@nu...> wrote:
> Using Matplotlib 0.87.3 (wxAgg backend), NumPy 0.9.8, SciPy 0.4.9,
> wxPython unicode.2.6.3.2, python 2.4.3 the following setup.py worked
> well with py2exe 0.6.5 on Widows XP:
>
I followed your example, and had some luck. Thanks.
My final distribution is 47MB in 840 files. Does anyone have an example th=
at
does even better?
Last October, I used numarray + matplotlib in an almost identical
project, and managed to bundle it into 11MB and four files. But I
can't remember exactly the combination that I used.
If I try to use a zip file (comment out the skip_archive) to reduce
size and filecount, I get the error:
 File "matplotlib\backends\backend_wxagg.pyc", line 21, in ?
 File "matplotlib\figure.pyc", line 5, in ?
 File "matplotlib\artist.pyc", line 4, in ?
 File "matplotlib\transforms.pyc", line 215, in ?
 File "matplotlib\_transforms.pyc", line 1, in ?
 File "matplotlib\numerix\__init__.pyc", line 52, in ?
 File "numarray\__init__.pyc", line 42, in ?
 File "numarray\numarrayall.pyc", line 2, in ?
 File "numarray\generic.pyc", line 1120, in ?
 File "numarray\numarraycore.pyc", line 16, in ?
 File "numarray\_sort.pyc", line 12, in ?
 File "numarray\_sort.pyc", line 10, in __load
 File "numpy\__init__.pyc", line 35, in ?
 File "numpy\_import_tools.pyc", line 173, in __call__
 File "numpy\_import_tools.pyc", line 68, in _init_info_modules
 File "<string>", line 1, in ?
 File "numpy\random\__init__.pyc", line 3, in ?
 File "numpy\random\mtrand.pyc", line 12, in ?
 File "numpy\random\mtrand.pyc", line 10, in __load
 File "numpy.pxi", line 32, in mtrand
AttributeError: 'module' object has no attribute 'dtype'
and even in the working example where I do skip_archive, I get the warnings=
:
The following modules appear to be missing
['FFT', 'LinearAlgebra', 'MA', 'MLab', 'Matrix', 'Numeric', 'Pyrex', 'Pyrex=
.Comp
iler', 'RandomArray', 'backends.draw_if_interactive', 'backends.new_figure_=
manag
er', 'backends.pylab_setup', 'backends.show', 'cephes', 'fcompiler.FCompile=
r', '
fcompiler.show_fcompilers', 'genapi', 'lib.add_newdoc', 'numerix.ArrayType'=
, 'nu
merix.Complex', 'numerix.Complex32', 'numerix.Complex64', 'numerix.Float', =
'nume
rix.Float32', 'numerix.Float64', 'numerix.Int', 'numerix.Int16', 'numerix.I=
nt32'
, 'numerix.Int8', 'numerix.NewAxis', 'numerix.UInt16', 'numerix.UInt32', 'n=
umeri
x.UInt8', 'numerix.absolute', 'numerix.add', 'numerix.allclose', 'numerix.a=
lltru
e', 'numerix.arange', 'numerix.arccos', 'numerix.arccosh', 'numerix.arcsin'=
, 'nu
merix.arcsinh', 'numerix.arctan', 'numerix.arctan2', 'numerix.arctanh', 'nu=
merix
.argmax', 'numerix.argmin', 'numerix.argsort', 'numerix.around', 'numerix.a=
rray'
, 'numerix.arrayrange', 'numerix.asarray', 'numerix.asum', 'numerix.bitwise=
_and'
, 'numerix.bitwise_or', 'numerix.bitwise_xor', 'numerix.ceil', 'numerix.cho=
ose',
 'numerix.clip', 'numerix.compress', 'numerix.concatenate', 'numerix.conjug=
ate',
 'numerix.convolve', 'numerix.cos', 'numerix.cosh', 'numerix.cross_correlat=
e', '
numerix.cumproduct', 'numerix.cumsum', 'numerix.diagonal', 'numerix.divide'=
, 'nu
merix.dot', 'numerix.equal', 'numerix.exp', 'numerix.fabs', 'numerix.fft.ff=
t', '
numerix.fft.inverse_fft', 'numerix.floor', 'numerix.fmod', 'numerix.fromfun=
ction
', 'numerix.fromstring', 'numerix.greater', 'numerix.greater_equal', 'numer=
ix.hy
pot', 'numerix.identity', 'numerix.indices', 'numerix.innerproduct', 'numer=
ix.is
contiguous', 'numerix.less', 'numerix.less_equal', 'numerix.log', 'numerix.=
log10
', 'numerix.logical_and', 'numerix.logical_not', 'numerix.logical_or', 'num=
erix.
logical_xor', 'numerix.matrixmultiply', 'numerix.maximum', 'numerix.minimum=
', 'n
umerix.mlab.amax', 'numerix.mlab.amin', 'numerix.mlab.cov', 'numerix.mlab.d=
iff',
 'numerix.mlab.hanning', 'numerix.mlab.rand', 'numerix.mlab.std', 'numerix.=
mlab.
svd', 'numerix.multiply', 'numerix.negative', 'numerix.nonzero', 'numerix.n=
ot_eq
ual', 'numerix.nx', 'numerix.ones', 'numerix.outerproduct', 'numerix.pi', '=
numer
ix.power', 'numerix.product', 'numerix.put', 'numerix.putmask', 'numerix.ra=
nk',
'numerix.ravel', 'numerix.repeat', 'numerix.reshape', 'numerix.resize', 'nu=
merix
.searchsorted', 'numerix.shape', 'numerix.sin', 'numerix.sinh', 'numerix.si=
ze',
'numerix.sometrue', 'numerix.sort', 'numerix.sqrt', 'numerix.subtract', 'nu=
merix
.swapaxes', 'numerix.take', 'numerix.tan', 'numerix.tanh', 'numerix.trace',=
 'num
erix.transpose', 'numerix.typecode', 'numerix.typecodes', 'numerix.where', =
'nume
rix.which', 'numerix.zeros', 'numpy.Complex', 'numpy.Complex32', 'numpy.Com=
plex6
4', 'numpy.Float', 'numpy.Float32', 'numpy.Float64', 'numpy.Inf', 'numpy.In=
finit
y', 'numpy.Int', 'numpy.Int16', 'numpy.Int32', 'numpy.Int8', 'numpy.UInt16'=
, 'nu
mpy.UInt32', 'numpy.UInt8', 'numpy.absolute', 'numpy.add', 'numpy.amax', 'n=
umpy.
amin', 'numpy.arange', 'numpy.array', 'numpy.asarray', 'numpy.asarray_chkfi=
nite'
, 'numpy.cast', 'numpy.concatenate', 'numpy.conjugate', 'numpy.diag', 'nump=
y.dot
', 'numpy.exp', 'numpy.extract', 'numpy.eye', 'numpy.finfo', 'numpy.float_'=
, 'nu
mpy.floor', 'numpy.greater_equal', 'numpy.hstack', 'numpy.identity', 'numpy=
.imag
', 'numpy.inf', 'numpy.infty', 'numpy.insert', 'numpy.iscomplexobj', 'numpy=
.isfi
nite', 'numpy.log', 'numpy.log2', 'numpy.logical_not', 'numpy.matrix', 'num=
py.mg
rid', 'numpy.newaxis', 'numpy.ogrid', 'numpy.ones', 'numpy.outerproduct', '=
numpy
.pi', 'numpy.poly1d', 'numpy.product', 'numpy.r_', 'numpy.ravel', 'numpy.re=
al',
'numpy.reshape', 'numpy.sign', 'numpy.single', 'numpy.sqrt', 'numpy.subtrac=
t', '
numpy.sum', 'numpy.take', 'numpy.transpose', 'numpy.typecodes', 'numpy.type=
name'
, 'numpy.where', 'numpy.zeros', 'numpy_distutils', 'numpy_distutils.command=
.buil
d_flib', 'numpy_distutils.command.cpuinfo', 'numpy_distutils.cpuinfo', 'num=
py_di
stutils.fcompiler', 'pkg_resources', 'pre', 'setuptools', 'setuptools.comma=
nd',
'setuptools.command.egg_info', 'matplotlib.numerix.Float', 'matplotlib.nume=
rix.F
loat32', 'matplotlib.numerix.absolute', 'matplotlib.numerix.alltrue', 'matp=
lotli
b.numerix.asarray', 'matplotlib.numerix.ceil', 'matplotlib.numerix.equal', =
'matp
lotlib.numerix.fromstring', 'matplotlib.numerix.put', 'matplotlib.numerix.r=
avel'
, 'matplotlib.numerix.sqrt', 'matplotlib.numerix.take', 'matplotlib.numerix=
.tran
spose', 'matplotlib.numerix.where', 'numarray.Complex', 'numarray.Complex32=
', 'n
etc...
Help me please!
Thanks,
-Jim

Using Matplotlib 0.87.3 (wxAgg backend), NumPy 0.9.8, SciPy 0.4.9,
wxPython unicode.2.6.3.2, python 2.4.3 the following setup.py worked
well with py2exe 0.6.5 on Widows XP:
#--------------------------------------------------------------
from distutils.core import setup
import py2exe
import glob
data =3D glob.glob(r'C:Documents and Settings\Apa\.matplotlib\*')
data.append(r'C:\Documents and Settings\Apa\.matplotlib\matplotlibrc')
includes =3D ['matplotlib.numerix.random_array',
 'pytz.zoneinfo.UTC',
 'scipy.misc.info']
excludes =3D ['Tkinter']
opts =3D {
 "py2exe": {
 'skip_archive': 1,
 'includes': includes,
 'excludes': excludes,
 'packages': ['numpy'],
 }
}
setup(
 windows =3D [
 {
 "script": 'Wynne.py',
 "icon_resources": [(1, 'THz.ico')]
 }
 ],
 data_files =3D [('matplotlibdata', data)],
 options =3D opts
 )
#--------------------------------------------------------------
Regards,
G=E9za
--=20
G=E9za Groma
Institute of Biophysics
Biological Research Center of the Hungarian Academy of Sciences
Temesv=E1ri krt. 62.
6701 Szeged, Hungary
phone: +36 62 599 620 fax: +36 62 433 133 cellular: +36 20 5648 303
On 6/28/06, James Carroll <mr...@gm...> wrote:
> Hi I read on the py2exe wiki that the 0.83 line creates huge
> distributions because of trouble excluding backends that are not
> wanted.
> ( http://starship.python.net/crew/theller/moin.cgi/MatPlotLib )
>
> I do need to have a small distribution on windows. Which version of
> matplotlib was the last to play nicely with py2exe?
>
> Has anyone had any luck with 0.83.3 and excluding tk and gtk backends?
> (I'm using wx)
>
> I'm also getting a strange dependancy on the unicode version of
> wxPython, when I'm using the non-unicode version, and that's adding
> another 5MB onto my distro.
>
> Thanks,
> -Jim
>
> 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 ea=
sier
> Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronim=
o
> http://sel.as-us.falkag.net/sel?cmd=3Dlnk&kid=3D120709&bid=3D263057&dat=
=3D121642
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

http://matplotlib.sourceforge.net/installing.html
 "matplotlib requires at a minimum python 2.2+, 
 Numeric or numarray and freetype."
Should mention numpy...
fwiw,
Alan Isaac

Hi I read on the py2exe wiki that the 0.83 line creates huge
distributions because of trouble excluding backends that are not
wanted.
 ( http://starship.python.net/crew/theller/moin.cgi/MatPlotLib )
I do need to have a small distribution on windows. Which version of
matplotlib was the last to play nicely with py2exe?
Has anyone had any luck with 0.83.3 and excluding tk and gtk backends?
(I'm using wx)
I'm also getting a strange dependancy on the unicode version of
wxPython, when I'm using the non-unicode version, and that's adding
another 5MB onto my distro.
Thanks,
-Jim

Hi,
I'm trying to compile 0.87.3 on a RedHat Enterprise Server 4,
but I'm running into C++ compilation errors with one of
the numpy headers.
Here are versions of various requirements:
gcc 3.4.3
python 2.4.2
numpy 0.9.8
pygtk 2.8.6
The errors I'm getting are something like:
running build_ext
building 'matplotlib._ns_transforms' extension
gcc options: '-fno-strict-aliasing -DNDEBUG -g -O3 -Wall
-Wstrict-prototypes -O3 -mtune=i686 -mcpu=i686 -march=i686 -O3
-mtune=i686 -m
u=i686 -march=i686 -fPIC'
compile options: '-Isrc -I.
-I/opt/lib/python2.4/site-packages/numpy/core/include
-I/usr/local/include -I/usr/include -I. -I/opt/inclu
/python2.4 -c'
extra options: '-DSCIPY=1'
gcc: src/_ns_transforms.cpp
cc1plus: warning: command line option "-Wstrict-prototypes" is valid
for Ada/C/ObjC but not for C++
In file included from /opt/include/python2.4/Python.h:8,
 from ./CXX/Objects.hxx:9,
 from ./CXX/Extensions.hxx:19,
 from src/_transforms.h:12,
 from src/_ns_transforms.cpp:4:
/opt/include/python2.4/pyconfig.h:835:1: warning: "_POSIX_C_SOURCE" redefined
In file included from
/usr/lib/gcc/i386-redhat-linux/3.4.3/../../../../include/c++/3.4.3/i386-redhat-linux/bits/os_defines.h:39,
 from
/usr/lib/gcc/i386-redhat-linux/3.4.3/../../../../include/c++/3.4.3/i386-redhat-linux/bits/c++config.h:35,
 from
/usr/lib/gcc/i386-redhat-linux/3.4.3/../../../../include/c++/3.4.3/functional:54,
 from src/_ns_transforms.cpp:1:
/usr/include/features.h:150:1: warning: this is the location of the
previous definition
In file included from
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/arrayobject.h:1346,
 from src/_ns_transforms.cpp:15:
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:
In function `int import_array()':
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:765:
error: expected primary-expression before ')' token
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:765:
error: `NumPyuint' undeclared (first use this functi
)
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:765:
error: (Each undeclared identifier is reported only
ce for each function it appears in.)
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:765:
error: expected primary-expression before "void"
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:765:
error: expected `)' before "PyArray_API"
/opt/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:771:
error: expected `)' before "return"
./CXX/Extensions.hxx: In constructor
`Py::PythonExtension<T>::PythonExtension() [with T = LazyValue]':
src/_transforms.h:57: instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no effect
./CXX/Extensions.hxx: In constructor
`Py::PythonExtension<T>::PythonExtension() [with T = Func]':
src/_transforms.h:378: instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no effect
./CXX/Extensions.hxx: In constructor
`Py::PythonExtension<T>::PythonExtension() [with T = FuncXY]':
src/_transforms.h:465: instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no effect
./CXX/Extensions.hxx: In constructor
`Py::PythonExtension<T>::PythonExtension() [with T = Transformation]':
src/_transforms.h:537: instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no effect
./CXX/Extensions.hxx: In constructor
`Py::PythonExtension<T>::PythonExtension() [with T = Point]':
src/_ns_transforms.cpp:128: instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no effect
./CXX/Extensions.hxx: In constructor
`Py::PythonExtension<T>::PythonExtension() [with T = Interval]':
src/_ns_transforms.cpp:143: instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no effect
./CXX/Extensions.hxx: In constructor
`Py::PythonExtension<T>::PythonExtension() [with T = Bbox]':
src/_ns_transforms.cpp:192: instantiated from here
./CXX/Extensions.hxx:477: warning: right-hand operand of comma has no effect
I'm stumped as to what to try next. Any advice?
Thanks,
--Dave

 Hi list,
 Platform: Windows XP
 upgrading from matplotlib 0.83.1 to 0.87.3
 On my PC the vline_demo.py from the examples doesn't work anymore after
 upgrading from 0.83.1 to 0.87.3. I use vlines in my application where I get
 the same type of error. It worked just fine with 0.83.1.
 Traceback (most recent call last):
 File "C:\Python24\Lib\site-packages\matplotlib\examples\vline_demo.py",
 line 17, in ?
 vlines(t, [0], s, color='k')
 File "C:\Python24\Lib\site-packages\matplotlib\pylab.py", line 2242, in
 vlines
 ret = gca().vlines(*args, **kwargs)
 File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 1987, in
 vlines
 color=color, linestyle=linestyle, marker=marker,
 TypeError: Line2D constructor got multiple values for keyword argument
 'color'
 
 Any ideas?
 Thanks for your help in advance!
 
 cheers
 Oliver
 		
---------------------------------
Yahoo! Music Unlimited - Access over 1 million songs.Try it free. 

 Hi list,
 Platform: Windows XP
 upgrading from matplotlib 0.83.1 to 0.87.3
 On my PC the vline_demo.py from the examples doesn't work anymore after
 upgrading from 0.83.1 to 0.87.3. I use vlines in my application where I get
 the same type of error. It worked just fine with 0.83.1.
 Traceback (most recent call last):
 File "C:\Python24\Lib\site-packages\matplotlib\examples\vline_demo.py",
 line 17, in ?
 vlines(t, [0], s, color='k')
 File "C:\Python24\Lib\site-packages\matplotlib\pylab.py", line 2242, in
 vlines
 ret = gca().vlines(*args, **kwargs)
 File "C:\Python24\Lib\site-packages\matplotlib\axes.py", line 1987, in
 vlines
 color=color, linestyle=linestyle, marker=marker,
 TypeError: Line2D constructor got multiple values for keyword argument
 'color'
 
 Any ideas?
 Thanks for your help in advance!
 
 cheers
 Oliver
 		
---------------------------------
Talk is cheap. Use Yahoo! Messenger to make PC-to-Phone calls. Great rates starting at 1¢/min.

John Hunter <jdh...@ni...> writes:
> What appears to be happening is that mpl is finding and using a
> native os x font rather than the Vera fonts that mpl ships with.
Maybe it would be worth shipping the DejaVu fonts for its more
characters rather than Bitstream Vera: "The DejaVu fonts are a
font family based on the Bitstream Vera Fonts release 1.10. Its
purpose is to provide a wider range of characters (see Current
status page for more information) while maintaining the original
look and feel [...]"
http://dejavu.sourceforge.net/wiki/index.php/Main_Page
There are also experimental condensed versions. I'd guess however that
files will become even bigger unless font subsetting is available.
Cheers,
 Colin

BTW, I have to use TeX with mpl otherwise it does not work.
rc('text', usetex=3DTrue)
Benoit
Benoit Donnet a =E9crit :
> Hello John
>=20
>> I am 99% sure this is a font problem. matplotlib embeds the truetype
>=20
> Nice intuition. I didn't think about any font problem. I was=20
> expecting some configuration problem
>=20
>> font.serif : New Century Schoolbook, Century Schoolbook L, =
Utopia, ITC Bookman, Bookman, Bitstream Vera Serif, Nimbus Roman No9 L, T=
imes New Roman, Times, Palatino, Charter, serif
>> font.sans-serif : Lucida Grande, Verdana, Geneva, Lucida, Bitstr=
eam Vera Sans, Arial, Helvetica, Avant Garde, sans-serif
>> font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, =
cursive
>> font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, West=
ern, fantasy
>> font.monospace : Andale Mono, Bitstream Vera Sans Mono, Nimbus =
Mono L, Courier New, Courier, Fixed, Terminal, monospace
>>
>> by moving the bitstream fonts to the front.
>=20
> I moved the bitstream fonts to the front.
>=20
>> I'm inclined to make the bitstream fonts the default (the first item
>> in the default rc list) so that others won't be bitten by this until
>> we solve the "dump the entire font" problem. Any objections?
>>
>> Benoit, please let us know if this fixes your problem. =20
>=20
> It is working now.
>=20
> Eps files are correctly generated and the resulting files have 'normal'=
=20
> sizes (below 100K).
>=20
> Thank you very much for the help! I really appreciate.
>=20
> Benoit
>=20
> After changing
>> the rc file, please recursively remove ~/.matplotlib/ttffont.cache
>> before rerunning. Also, if you run your script with --verbose-debug
>> you will get information about which fonts are loaded.
>>
>> JDH=20
>>
>>
>=20
--=20
Benoit Donnet
Universit=E9 Pierre & Marie Curie (Paris VI)
Laboratoire LIP6 - R=E9seaux & Performances
8, rue du Capitaine Scott
75015 Paris
France
Phone: 00 33 (0)1 44 27 88 83
traceroute@home Project: http://trhome.sourceforge.net
Home Page: http://rp.lip6.fr/~donnet

Hello John
> I am 99% sure this is a font problem. matplotlib embeds the truetype
Nice intuition. I didn't think about any font problem. I was=20
expecting some configuration problem
> font.serif : New Century Schoolbook, Century Schoolbook L, U=
topia, ITC Bookman, Bookman, Bitstream Vera Serif, Nimbus Roman No9 L, Ti=
mes New Roman, Times, Palatino, Charter, serif
> font.sans-serif : Lucida Grande, Verdana, Geneva, Lucida, Bitstre=
am Vera Sans, Arial, Helvetica, Avant Garde, sans-serif
> font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, c=
ursive
> font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Weste=
rn, fantasy
> font.monospace : Andale Mono, Bitstream Vera Sans Mono, Nimbus M=
ono L, Courier New, Courier, Fixed, Terminal, monospace
>=20
> by moving the bitstream fonts to the front.
I moved the bitstream fonts to the front.
> I'm inclined to make the bitstream fonts the default (the first item
> in the default rc list) so that others won't be bitten by this until
> we solve the "dump the entire font" problem. Any objections?
>=20
> Benoit, please let us know if this fixes your problem. =20
It is working now.
Eps files are correctly generated and the resulting files have 'normal'=20
sizes (below 100K).
Thank you very much for the help! I really appreciate.
Benoit
After changing
> the rc file, please recursively remove ~/.matplotlib/ttffont.cache
> before rerunning. Also, if you run your script with --verbose-debug
> you will get information about which fonts are loaded.
>=20
> JDH=20
>=20
>=20
--=20
Benoit Donnet
Universit=E9 Pierre & Marie Curie (Paris VI)
Laboratoire LIP6 - R=E9seaux & Performances
8, rue du Capitaine Scott
75015 Paris
France
Phone: 00 33 (0)1 44 27 88 83
traceroute@home Project: http://trhome.sourceforge.net
Home Page: http://rp.lip6.fr/~donnet

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IGp1c3QgYSB1c2VyIHRyeWluZyB0byBtYWtlIHNvbWUgcHJldHR5IHBpY3R1cmVzCmZvciBhIHN0
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Cg==

Hi Danny,
On Tuesday 27 June 2006 13:38, danny shevitz wrote:
> TkAgg... GTKAgg. What difference does a letter make.
> That helped. I couldn't remember the windows backend.
>
> I still have a problem, but now it's the same if I import either
> matplotlib or pylab:
>
> ------------------------------------------------------------------------
> Python 2.4.3 (#69, Mar 29 2006, 17:35:34) [MSC v.1310 32 bit (Intel)]
> on win32
> Type "help", "copyright", "credits" or "license" for more information.
>
> >>> import pylab
>
> D:\ENTHOU~1\lib\site-packages\matplotlib\__init__.py:947: UserWarning:
> Bad val "
> free" on line #200
> "image.aspect : free # free | preserve"
> in file "e:\home\.matplotlib\matplotlibrc"
> not a valid aspect specification
> warnings.warn('Bad val "%s" on line #%d\n\t"%s"\n\tin file
> "%s"\n\t%s' % (
>
> ------------------------------------------------------------------------
There have been some changes to the matplotlibrc file, just 
remove "image.aspect : free # free | preserve" from your file to 
prevent the message.

Thanks John and Darren. I think i'll use the nan trick for now but
the masked array looks incredibly powerful. I'll take a look at the
masked array demo. Thanks once again for your help and some really
awesome plotting software!
--Tom
On 6/27/06, Darren Dale <dd...@co...> wrote:
> On Tuesday 27 June 2006 14:16, Tom Denniston wrote:
> > When you do a line scatter plot in excel and data is missing between
> > two observations excel doesn't connect those two observations with a
> > line. So what you see is a line with gaps where the data is missing.
> > Missing data is
> > defined as having x values but no y value or vice versa. Is there a
> > good way to get similar behavior in matplotlib?
>
> If you are using 0.87.3, you can do this:
>
> plot([1.1, 2, nan, 3, 5])
>
>
> 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
>

>>>>> "danny" == danny shevitz <dan...@ya...> writes:
 danny> TkAgg... GTKAgg. What difference does a letter make. That
 danny> helped. I couldn't remember the windows backend.
 danny> I still have a problem, but now it's the same if I import
 danny> either matplotlib or pylab:
Your rc file is out of date, in this case the parameters for handling
image aspect ratio are different. Try updating your rc file from the
recent defaults
### MATPLOTLIBRC FORMAT
# This is a sample matplotlib configuration file. It should be placed
# in HOME/.matplotlib/matplotlibrc (unix/linux like systems) and
# C:\Documents and Settings\yourname\.matplotlib (win32 systems)
#
# By default, the installer will overwrite the existing file in the
# install path, so if you want to preserve your's, please move it to
# your HOME dir and set the environment variable if necessary.
#
# This file is best viewed in a editor which supports python mode
# syntax highlighting
#
# Blank lines, or lines starting with a comment symbol, are ignored,
# as are trailing comments. Other lines must have the format
#
# key : val # optional comment
#
# Colors: for the color values below, you can either use
# - a matplotlib color string, such as r, k, or b
# - an rgb tuple, such as (1.0, 0.5, 0.0)
# - a hex string, such as ff00ff (no '#' symbol)
# - a scalar grayscale intensity such as 0.75
# - a legal html color name, eg red, blue, darkslategray
#### CONFIGURATION BEGINS HERE
# the default backend; one of GTK GTKAgg GTKCairo FltkAgg QtAgg TkAgg
# Agg Cairo GD GDK Paint PS PDF SVG Template
backend : GTKAgg
numerix : numpy # numpy, Numeric or numarray
interactive : False # see http://matplotlib.sourceforge.net/interactive.html
toolbar : toolbar2 # None | classic | toolbar2
timezone : UTC # a pytz timezone string, eg US/Central or Europe/Paris
# Where your matplotlib data lives if you installed to a non-default
# location. This is where the matplotlib fonts, bitmaps, etc reside
#datapath : /home/jdhunter/mpldata
### LINES
# See http://matplotlib.sourceforge.net/matplotlib.lines.html for more
# information on line properties.
lines.linewidth : 1.0 # line width in points
lines.linestyle : - # solid line
lines.color : blue
lines.marker : None # the default marker
lines.markerfacecolor : blue
lines.markeredgecolor : black
lines.markeredgewidth : 0.5 # the line width around the marker symbol
lines.markersize : 6 # markersize, in points
lines.dash_joinstyle : miter # miter|round|bevel
lines.dash_capstyle : butt # butt|round|projecting
lines.solid_joinstyle : miter # miter|round|bevel
lines.solid_capstyle : projecting # butt|round|projecting
lines.antialiased : True # render lines in antialised (no jaggies)
### PATCHES
# Patches are graphical objects that fill 2D space, like polygons or
# circles. See
# http://matplotlib.sourceforge.net/matplotlib.patches.html for more
# information on patch properties
patch.linewidth 	: 1.0 # edge width in points
patch.facecolor 	: blue
patch.edgecolor 	: black
patch.antialiased 	: True # render patches in antialised (no jaggies)
### FONT
#
# font properties used by text.Text. See
# http://matplotlib.sourceforge.net/matplotlib.font_manager.html for more
# information on font properties. The 6 font properties used for font
# matching are given below with their default values.
#
# The font.family property has five values: 'serif' (e.g. Times),
# 'sans-serif' (e.g. Helvetica), 'cursive' (e.g. Zapf-Chancery),
# 'fantasy' (e.g. Western), and 'monospace' (e.g. Courier). Each of
# these font families has a default list of font names in decreasing
# order of priority associated with them.
#
# The font.style property has three values: normal (or roman), italic
# or oblique. The oblique style will be used for italic, if it is not
# present.
#
# The font.variant property has two values: normal or small-caps. For
# TrueType fonts, which are scalable fonts, small-caps is equivalent
# to using a font size of 'smaller', or about 83% of the current font
# size.
#
# The font.weight property has effectively 13 values: normal, bold,
# bolder, lighter, 100, 200, 300, ..., 900. Normal is the same as
# 400, and bold is 700. bolder and lighter are relative values with
# respect to the current weight.
#
# The font.stretch property has 11 values: ultra-condensed,
# extra-condensed, condensed, semi-condensed, normal, semi-expanded,
# expanded, extra-expanded, ultra-expanded, wider, and narrower. This
# property is not currently implemented.
#
# The font.size property is the default font size for text, given in pts.
# 12pt is the standard value.
#
font.family : sans-serif
font.style : normal
font.variant : normal
font.weight : medium
font.stretch : normal
# note that font.size controls default text sizes. To configure
# special text sizes tick labels, axes, labels, title, etc, see the rc
# settings for axes and ticks. Special text sizes can be defined
# relative to font.size, using the following values: xx-small, x-small,
# small, medium, large, x-large, xx-large, larger, or smaller
font.size : 12.0
font.serif : New Century Schoolbook, Century Schoolbook L, Utopia, ITC Bookman, Bookman, Bitstream Vera Serif, Nimbus Roman No9 L, Times New Roman, Times, Palatino, Charter, serif
font.sans-serif : Lucida Grande, Verdana, Geneva, Lucida, Bitstream Vera Sans, Arial, Helvetica, Avant Garde, sans-serif
font.cursive : Apple Chancery, Textile, Zapf Chancery, Sand, cursive
font.fantasy : Comic Sans MS, Chicago, Charcoal, Impact, Western, fantasy
font.monospace : Andale Mono, Bitstream Vera Sans Mono, Nimbus Mono L, Courier New, Courier, Fixed, Terminal, monospace
### TEXT
# text properties used by text.Text. See
# http://matplotlib.sourceforge.net/matplotlib.text.html for more
# information on text properties
text.color : black
text.usetex : False # use latex for all text handling. For more information, see
 # http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
text.dvipnghack : False # some versions of dvipng don't handle
 # alpha channel properly. Use True to correct and flush
 # ~/.matplotlib/tex.cache before testing
### AXES
# default face and edge color, default tick sizes,
# default fontsizes for ticklabels, and so on. See
# http://matplotlib.sourceforge.net/matplotlib.axes.html#Axes
axes.hold : True # whether to clear the axes by default on
axes.facecolor : white # axes background color
axes.edgecolor : black # axes edge color
axes.linewidth : 1.0 # edge linewidth
axes.grid : False # display grid or not
axes.titlesize : 14 # fontsize of the axes title
axes.labelsize : 12 # fontsize of the x any y labels
axes.labelcolor : black
axes.axisbelow : False # whether axis gridlines and ticks are below
 # the axes elements (lines, text, etc) 
 
polaraxes.grid : True # display grid on polar axes
### TICKS
# see http://matplotlib.sourceforge.net/matplotlib.axis.html#Ticks
xtick.major.size : 4 # major tick size in points
xtick.minor.size : 2 # minor tick size in points
xtick.major.pad : 4 # distance to major tick label in points
xtick.minor.pad : 4 # distance to the minor tick label in points
xtick.color : k # color of the tick labels
xtick.labelsize : 12 # fontsize of the tick labels
xtick.direction : in # direction: in or out
ytick.major.size : 4 # major tick size in points
ytick.minor.size : 2 # minor tick size in points
ytick.major.pad : 4 # distance to major tick label in points
ytick.minor.pad : 4 # distance to the minor tick label in points
ytick.color : k # color of the tick labels
ytick.labelsize : 12 # fontsize of the tick labels
ytick.direction : in # direction: in or out
### GRIDS
grid.color : black # grid color
grid.linestyle : : # dotted
grid.linewidth : 0.5 # in points
### Legend
legend.isaxes : True
legend.numpoints : 4 # the number of points in the legend line
legend.fontsize : 14
legend.pad : 0.2 # the fractional whitespace inside the legend border
legend.markerscale : 1.0 # the relative size of legend markers vs. original
# the following dimensions are in axes coords
legend.labelsep : 0.010 # the vertical space between the legend entries
legend.handlelen : 0.05 # the length of the legend lines
legend.handletextsep : 0.02 # the space between the legend line and legend text
legend.axespad : 0.02 # the border between the axes and legend edge
legend.shadow : False
### FIGURE
# See http://matplotlib.sourceforge.net/matplotlib.figure.html#Figure
figure.figsize : 8, 6 # figure size in inches
figure.dpi : 80 # figure dots per inch
figure.facecolor : 0.75 # figure facecolor; 0.75 is scalar gray
figure.edgecolor : white # figure edgecolor
# The figure subplot parameters. All dimensions are fraction of the
# figure width or height
figure.subplot.left : 0.125 # the left side of the subplots of the figure
figure.subplot.right : 0.9 # the right side of the subplots of the figure
figure.subplot.bottom : 0.1 # the bottom of the subplots of the figure
figure.subplot.top : 0.9 # the top of the subplots of the figure
figure.subplot.wspace : 0.2 # the amount of width reserved for blank space between subplots
figure.subplot.hspace : 0.2 # the amount of height reserved for white space between subplots
### IMAGES
image.aspect : equal # equal | auto | a number
image.interpolation : bilinear # see help(imshow) for options
image.cmap : jet # gray | jet etc...
image.lut : 256 # the size of the colormap lookup table
image.origin : upper # lower | upper
### CONTOUR PLOTS
contour.negative_linestyle : 6.0, 6.0 # negative contour dashstyle (size in points)
### SAVING FIGURES
# the default savefig params can be different for the GUI backends.
# Eg, you may want a higher resolution, or to make the figure
# background white
savefig.dpi : 100 # figure dots per inch
savefig.facecolor : white # figure facecolor when saving
savefig.edgecolor : white # figure edgecolor when saving
# tk backend params
tk.window_focus : False # Maintain shell focus for TkAgg
tk.pythoninspect : False # tk sets PYTHONINSEPCT
# ps backend params
ps.papersize : letter # auto, letter, legal, ledger, A0-A10, B0-B10
ps.useafm : False # use of afm fonts, results in small files
ps.usedistiller : False # can be: None, ghostscript or xpdf
 # Experimental: may produce smaller files.
 # xpdf intended for production of publication quality files,
 # but requires ghostscript, xpdf and ps2eps
ps.distiller.res : 6000 # dpi
# pdf backend params
pdf.compression : 6 # integer from 0 to 9
		 # 0 disables compression (good for debugging)
# Set the verbose flags. This controls how much information
# matplotlib gives you at runtime and where it goes. Ther verbosity
# levels are: silent, helpful, debug, debug-annoying. Any level is
# inclusive of all the levels below it. If you setting is debug,
# you'll get all the debug and helpful messages. When submitting
# problems to the mailing-list, please set verbose to helpful or debug
# and paste the output into your report.
#
# The fileo gives the destination for any calls to verbose.report.
# These objects can a filename, or a filehandle like sys.stdout.
#
# You can override the rc default verbosity from the command line by
# giving the flags --verbose-LEVEL where LEVEL is one of the legal
# levels, eg --verbose-helpful.
#
# You can access the verbose instance in your code
# from matplotlib import verbose.
verbose.level : silent # one of silent, helpful, debug, debug-annoying
verbose.fileo : sys.stdout # a log filename, sys.stdout or sys.stderr

On Tuesday 27 June 2006 14:16, Tom Denniston wrote:
> When you do a line scatter plot in excel and data is missing between
> two observations excel doesn't connect those two observations with a
> line. So what you see is a line with gaps where the data is missing.
> Missing data is
> defined as having x values but no y value or vice versa. Is there a
> good way to get similar behavior in matplotlib?
If you are using 0.87.3, you can do this:
plot([1.1, 2, nan, 3, 5])

>>>>> "danny" == danny shevitz <dan...@ya...> writes:
 danny> thanks for all the help, it's working now. That wasn't even
 danny> too bad. FWIW, I did download the latest .matplotlibrc
 danny> file off the web at :
 danny> http://matplotlib.sourceforge.net/matplotlibrc
 danny> It is currently out of date as it contains: ### IMAGES
 danny> image.aspect : free # free | preserve
Hey Danny,
Thanks for the tip -- I updated the web page
JDH

> Charlie -- I thought we were setting the default backend to TkAgg for
> win32 installs.
and I thought that was settled by being hard coded into setup.py
# line 287
if sys.platform=='win32':
 rc = dict(backend='TkAgg', numerix='Numeric')
Danny, can you try deleting your .matplotlib folder and trying again?
- Charlie

>>>>> "Tom" == Tom Denniston <tom...@al...> writes:
 Tom> When you do a line scatter plot in excel and data is missing
 Tom> between two observations excel doesn't connect those two
 Tom> observations with a line. So what you see is a line with
 Tom> gaps where the data is missing. Missing data is defined as
 Tom> having x values but no y value or vice versa. Is there a
 Tom> good way to get similar behavior in matplotlib?
This from examples/masked_demo.py
#!/bin/env python
'''
Plot lines with points masked out.
This would typically be used with gappy data, to
break the line at the data gaps.
'''
import matplotlib.numerix.ma as M
from pylab import *
x = M.arange(0, 2*pi, 0.02)
y = M.sin(x)
y1 = sin(2*x)
y2 = sin(3*x)
ym1 = M.masked_where(y1 > 0.5, y1)
ym2 = M.masked_where(y2 < -0.5, y2)
lines = plot(x, y, 'r', x, ym1, 'g', x, ym2, 'bo')
setp(lines[0], linewidth = 4)
setp(lines[1], linewidth = 2)
setp(lines[2], markersize = 10)
legend( ('No mask', 'Masked if > 0.5', 'Masked if < -0.5') ,
 loc = 'upper right')
title('Masked line demo')
savefig('test.svg')
#savefig('test.ps')
show()

thanks for all the help, it's working now. That wasn't even too bad.
FWIW, I did download the latest .matplotlibrc file off the web at :
http://matplotlib.sourceforge.net/matplotlibrc
It is currently out of date as it contains:
### IMAGES
image.aspect : free # free | preserve
thanks,
Danny
__________________________________________________
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When you do a line scatter plot in excel and data is missing between
two observations excel doesn't connect those two observations with a
line. So what you see is a line with gaps where the data is missing.
Missing data is
defined as having x values but no y value or vice versa. Is there a
good way to get similar behavior in matplotlib?
I tried to attach a bmp that had an example but the mail server
rejected it on the grounds it was too large.
--Tom