matplotlib-users Mailing List for matplotlib (Page 7)

Hello,

I'm trying to teach myself to create custom colormaps to highlight
certain aspects of a dataset I am working with.  The script below
produces two plots -- the first shows a 4x4 array foo of random floats
between 0.0 and 1.0, and the second shows the same array, but normalized
such that [foo.min(), foo.max()] is mapped to [0.0, 1.0].

As I understand it, I am plotting two slightly different datasets using
the same colormap, yet the two colorbars are different -- note the
value at the transition from grayscale to red.

I am not sure whether the colors are being assigned to slightly
different data values in the two plots, or if the problem is in plotting
the colorbar.  I'd appreciate any help!

Thanks,
Tim

--

Timothy W. Hilton
PhD Candidate, Department of Meteorology
The Pennsylvania State University
503 Walker Building, University Park, PA   16802
hi...@me...

=========

import numpy as np
import numpy.ma as ma
import matplotlib.pyplot as plt
import matplotlib as mpl

mycmdata1 = {'red': ((0.0, 0.0, 0.0),
                     (0.5, 1.0, 0.7),
                     (1.0, 1.0, 1.0)),
             'green': ((0.0, 0.0, 0.0),
                       (0.5, 1.0, 0.0),
                       (1.0, 1.0, 1.0)),
             'blue': ((0.0, 0.0, 0.0),
                      (0.5, 1.0, 0.0),
                      (1.0, 0.5, 1.0))}
mycm1 = mpl.colors.LinearSegmentedColormap('mycm1', mycmdata1)

N = 4
np.random.seed(0)
foo = np.random.rand(N, N)

plt.figure()
plt.pcolor(foo, cmap=mycm1)
plt.colorbar()

plt.figure()
norm = mpl.colors.Normalize()
plt.pcolor(norm(foo), cmap=mycm1)
plt.colorbar()

Hi Friedrich,

Many thanks for your detailed response.  I've had to turn my attention
to other things in the past few weeks, but I am back to this task now.

I've implemented the Norm that you suggested by subclassing Normalize;
that was a great suggestion.  Now I have a two dimensional array where
water has value -1.5, missing data have -0.5, and valid data over land
have values in [0, 1].

After poking around in cm.py, _cm.py, and colors.py, I understand better
how to define a colormap, but I am not sure how to map negative values
like -0.5 or -1.5 to a color -- I believe the x values in the color
dictionary must be positive?

I can imagine various schemes to sidestep this by assigning water and
missing values positive discrete values (say, 0.1 and 0.2 or something)
and then putting valid data in the remaining portion of [0,1] -- maybe
[0.3, 1] or something.  But there's an elegance to valid data going into
[0, 1] and other invalid data getting values outside of that range...  I
think I'd lose a little readability in giving that up.

Anyway, thanks a whole lot for your helpful suggestions.

Best,
Tim

On Sat, Nov 2010, 06 at 10:52:48PM +0100, Friedrich Romstedt wrote:
> 2010/11/1 Timothy W. Hilton <hi...@me...>:
> > [...]
> >
> > I want to have blue water, some other (bright) color for missing data,
> > and a nice-looking color transition (matplotlib.cm.Blues or something
> > similar) for the valid data over land (values from 0 to 50).  The
> > Cookbook example at
> > <http://www.scipy.org/Cookbook/Matplotlib/Plotting_Images_with_Special_Values>
> > addresses my problem, but I cannot get it to work.  After changing
> > instances of matplotlib.numerix to numpy, I get a long list of
> > exceptions, the last of which is
> > TypeError: __call__() got an unexpected keyword argument 'bytes'.
> > This has to do with sentinelNorm, I think, but I'm not sure how to fix it.
> 
> I think I would tackle this by writing a Norm that doesn't change
> negative values, and you might mask then the oceans by -0.5, and the
> nans by -1.5.  Then, you might create a colormap comprised of the
> ocean color for [-1, 0] and the nan color for [-2, -1], and for the
> normal normed range [0, 1] the normal Blues cm.  Have a look at cm.py
> and _cm.py how it works.  Basically, you can specify for all sections
> of the colormap the left and right color.  So you can mix discrete
> maps with continuous ones, because the continuous ones are just
> linearly interpolated with matching colors for left/right at each
> boundary position.  Looking at the code will clarify things a lot I
> believe.
> 
> I don't know what went wrong with the cb example you said.  From a
> quick look, it seems to have "sentinel rgb values", but this is not
> what we want, right?
> 
> > Eventually I would like to sub-classify missing data by the type of
> > missing input that caused a missing value, but for now a single
> > missing data color is enough.
> 
> That would be possible with the approach above, by just adding
> sections below zero.
> 
> _cm.py: Definitions of colormaps, like Blues.
> cm.py: among other things, how to load such specifications.
> colors.py: Defines Colormaps, and Norms.  Have a look at both of them,
> esp. at :class:`Normalize`.  I would subclass the Norm mentioned above
> from Normalize.
> 
> I hope this helps you,
> Friedrich
> 

Using mpl 0.99.1 and sometimes get the following exception.

Traceback (most recent call last):
   File "C:\Python26\lib\site-packages\wx-2.8-msw-unicode\wx\_core.py", 
line 14640, in <lambda>
     lambda event: event.callable(*event.args, **event.kw) )
   File "C:\dev\TwcbBranchesV32\Program\panelstats.py", line 385, in 
RefreshAllGraphs
     self.RefreshCountryValue(self.countryValueP, self.countryValue)
   File "C:\dev\TwcbBranchesV32\Program\panelstats.py", line 417, in 
RefreshCountryValue
     self.DoStatsParetoAlt(sql, panel, axes, _('Value - in home 
currency'), _('Purchase value in % of cumulated purchase value'), avg=True)
   File "C:\dev\TwcbBranchesV32\Program\panelstats.py", line 992, in 
DoStatsParetoAlt
     panel.canvas.draw()
   File 
"C:\Python26\lib\site-packages\matplotlib\backends\backend_wxagg.py", 
line 61, in draw
     self.bitmap = _convert_agg_to_wx_bitmap(self.get_renderer(), None)
   File 
"C:\Python26\lib\site-packages\matplotlib\backends\backend_wxagg.py", 
line 229, in _py_WX28_convert_agg_to_wx_bitmap
     agg.buffer_rgba(0, 0))
   File "C:\Python26\lib\site-packages\wx-2.8-msw-unicode\wx\_gdi.py", 
line 908, in BitmapFromBufferRGBA
     return _gdi_._BitmapFromBufferRGBA(width, height, dataBuffer)
RuntimeError: Failed to gain raw access to bitmap data.

I thought/guessed it had to do with not having resized the canvas 
correctly, but I am not sure and the following code is run whenever I 
resize the parent of the canvas.

     def _SetSize( self ):
         pixels = tuple( self.parent.GetClientSize() )
         self.SetSize( pixels )
         self.canvas.SetSize( pixels )
         self.figure.set_size_inches( float( pixels[0] 
)/self.figure.get_dpi(),
                                      float( pixels[1] 
)/self.figure.get_dpi() )


What could the cause of this error be?

Werner

Note: try not to reply to the digest -- it makes it harder to follow the 
thread.

On 12/6/10 4:55 PM, Kaushik Ghose wrote:
> Yep, sorry for bothering you guys. I installed NumPy 1.5.1 and everything is
> fine. I'm looking forward to using the 3D plotting capabilities. Once again,
> thanks to the whole team for moving forward on this. (perhaps, inorder to make
> it proof against fools like me, perhaps a dependency check during the import,
> requiring a minimum version of numpy would be possible ... ?)

Yes, that would be a good idea. The trick is that MPL is probably 
compatible with older versions of numpy at the source level, but this 
binary was built against a particular version of numpy. So the binary 
builder would need to specify the required numpy version somehow.

Also, numpy tries to be binary compatible across some versions, to there 
would be more than one that a given MPL build could work with.

It would be nice if the numpy version required could be made clear in 
the download -- but that's a long file name already!

-Chris



-- 
Christopher Barker, Ph.D.
Oceanographer

Emergency Response Division
NOAA/NOS/OR&R            (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

2010/12/7 Kaushik Ghose <Kau...@hm...>:
> I did a search on the mailing list but could not come up with a solution, so I
> am crying "Uncle" and writing.

:-)

> I installed matplotlib 1.0.0 from the package on SF
> (http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0/matplotlib-1.0.0-python.org-py2.6-macosx10.4.dmg/download)
>
> I assumed that 10.4 would work on my 10.5 - perhaps that is where I went wrong?

Normally it should work, the 10.4 is the least recent version where it
is supposed to work.

> I installed it and got, satisfactorily:
>
> import matplotlib
> matplotlib.__version__
> ---> '1.0.0'
>
> But when I do
>
> import pylab
>
> I get a bus error that throws me out of ipython.

Two suggestions (just covering incompletely that I have no real idea atm):

1)  Try to import it from CPython (meaning $python -c "import pylab"
or $python CR >>> import pylab).  Might be that ipython is the
culprit.

2)  Try >>> import matplotlib.pylab instead.  When your pylab module
may come from somewhere else than the mpl module you're importing.

You didn't have matplotlib installed before, or have made some other
notable changes to your system?

What Python distro do you use?

Friedrich

Yep, sorry for bothering you guys. I installed NumPy 1.5.1 and everything is 
fine. I'm looking forward to using the 3D plotting capabilities. Once again, 
thanks to the whole team for moving forward on this. (perhaps, inorder to make 
it proof against fools like me, perhaps a dependency check during the import, 
requiring a minimum version of numpy would be possible ... ?)

Best
-Kaushik




On 12/6/10 7:45 PM, Kaushik Ghose wrote:
> Wait, wait I see a related topic from a guy running windows. I haven't upgraded
> my Numpy (which is at 1.3.0) Let me see if that changes anything....
>
> On 12/6/10 7:39 PM, mat...@li... wrote:
>
>>
>> Message: 1
>> Date: Mon, 6 Dec 2010 19:39:47 -0500
>> From: Kaushik Ghose<Kau...@hm...>
>> Subject: [Matplotlib-users] Bus error on import - Mac OS X (10.5.8)
>>           Matplotlib 1.0.0
>> To: "mat...@li..."
>>           <mat...@li...>
>> Message-ID:<4CF...@hm...>
>> Content-Type: text/plain; charset="UTF-8"; format=flowed
>>
>> Hi Guys,
>>
>> I did a search on the mailing list but could not come up with a solution, so I
>> am crying "Uncle" and writing.
>>
>> I installed matplotlib 1.0.0 from the package on SF
>> (http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0/matplotlib-1.0.0-python.org-py2.6-macosx10.4.dmg/download)
>>
>> I assumed that 10.4 would work on my 10.5 - perhaps that is where I went wrong?
>>
>> I installed it and got, satisfactorily:
>>
>> import matplotlib
>> matplotlib.__version__
>> --->   '1.0.0'
>>
>> But when I do
>>
>> import pylab
>>
>> I get a bus error that throws me out of ipython.
>>
>> The trace is given below
>>
>> If anyone can direct me towards the right direction, I would be vary happy!
>>
>> Thanks
>> -Kaushik
>>

Wait, wait I see a related topic from a guy running windows. I haven't upgraded 
my Numpy (which is at 1.3.0) Let me see if that changes anything....

On 12/6/10 7:39 PM, mat...@li... wrote:

>
> Message: 1
> Date: Mon, 6 Dec 2010 19:39:47 -0500
> From: Kaushik Ghose<Kau...@hm...>
> Subject: [Matplotlib-users] Bus error on import - Mac OS X (10.5.8)
>          Matplotlib 1.0.0
> To: "mat...@li..."
>          <mat...@li...>
> Message-ID:<4CF...@hm...>
> Content-Type: text/plain; charset="UTF-8"; format=flowed
>
> Hi Guys,
>
> I did a search on the mailing list but could not come up with a solution, so I
> am crying "Uncle" and writing.
>
> I installed matplotlib 1.0.0 from the package on SF
> (http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0/matplotlib-1.0.0-python.org-py2.6-macosx10.4.dmg/download)
>
> I assumed that 10.4 would work on my 10.5 - perhaps that is where I went wrong?
>
> I installed it and got, satisfactorily:
>
> import matplotlib
> matplotlib.__version__
> --->  '1.0.0'
>
> But when I do
>
> import pylab
>
> I get a bus error that throws me out of ipython.
>
> The trace is given below
>
> If anyone can direct me towards the right direction, I would be vary happy!
>
> Thanks
> -Kaushik
>

Hi Guys,

I did a search on the mailing list but could not come up with a solution, so I 
am crying "Uncle" and writing.

I installed matplotlib 1.0.0 from the package on SF 
(http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0/matplotlib-1.0.0-python.org-py2.6-macosx10.4.dmg/download)

I assumed that 10.4 would work on my 10.5 - perhaps that is where I went wrong?

I installed it and got, satisfactorily:

import matplotlib
matplotlib.__version__
---> '1.0.0'

But when I do

import pylab

I get a bus error that throws me out of ipython.

The trace is given below

If anyone can direct me towards the right direction, I would be vary happy!

Thanks
-Kaushik

Exception Type:  EXC_BAD_ACCESS (SIGBUS)
Exception Codes: KERN_PROTECTION_FAILURE at 0x0000000000000000
Crashed Thread:  0

Thread 0 Crashed:
0   ???                           	0000000000 0 + 0
1   org.python.python             	0x002b32f7 _PyImport_LoadDynamicModule + 167
2   org.python.python             	0x002b0c83 load_module + 227
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5   org.python.python             	0x002b1e03 PyImport_ImportModuleLevel + 419
6   org.python.python             	0x0028ab5f builtin___import__ + 159
7   org.python.python             	0x001e4d35 PyObject_Call + 85
8   org.python.python             	0x002905be PyEval_CallObjectWithKeywords + 78
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27  org.python.python             	0x002b21ed PyImport_ImportModuleLevel + 1421
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35  org.python.python             	0x002b058c load_source_module + 540
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43  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
44  org.python.python             	0x002983f7 PyEval_EvalCode + 87
45  org.python.python             	0x002af8ec PyImport_ExecCodeModuleEx + 188
46  org.python.python             	0x002b058c load_source_module + 540
47  org.python.python             	0x002b11ad import_submodule + 301
48  org.python.python             	0x002b1409 load_next + 201
49  org.python.python             	0x002b1e03 PyImport_ImportModuleLevel + 419
50  org.python.python             	0x0028ab5f builtin___import__ + 159
51  org.python.python             	0x001e4d35 PyObject_Call + 85
52  org.python.python             	0x002905be PyEval_CallObjectWithKeywords + 78
53  org.python.python             	0x00293b50 PyEval_EvalFrameEx + 9680
54  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
55  org.python.python             	0x002983f7 PyEval_EvalCode + 87
56  org.python.python             	0x002af8ec PyImport_ExecCodeModuleEx + 188
57  org.python.python             	0x002b058c load_source_module + 540
58  org.python.python             	0x002b11ad import_submodule + 301
59  org.python.python             	0x002b1409 load_next + 201
60  org.python.python             	0x002b1db1 PyImport_ImportModuleLevel + 337
61  org.python.python             	0x0028ab5f builtin___import__ + 159
62  org.python.python             	0x001e4d35 PyObject_Call + 85
63  org.python.python             	0x002905be PyEval_CallObjectWithKeywords + 78
64  org.python.python             	0x00293b50 PyEval_EvalFrameEx + 9680
65  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
66  org.python.python             	0x00296a25 PyEval_EvalFrameEx + 21669
67  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
68  org.python.python             	0x0029634c PyEval_EvalFrameEx + 19916
69  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
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73  org.python.python             	0x0029634c PyEval_EvalFrameEx + 19916
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75  org.python.python             	0x0029634c PyEval_EvalFrameEx + 19916
76  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
77  org.python.python             	0x0029634c PyEval_EvalFrameEx + 19916
78  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
79  org.python.python             	0x0029634c PyEval_EvalFrameEx + 19916
80  org.python.python             	0x002982dd PyEval_EvalCodeEx + 2109
81  org.python.python             	0x002983f7 PyEval_EvalCode + 87
82  org.python.python             	0x002bcf08 PyRun_FileExFlags + 168
83  org.python.python             	0x002bddf3 PyRun_SimpleFileExFlags + 867
84  org.python.python             	0x002cf902 Py_Main + 3122
85  org.python.python             	0x00001f82 0x1000 + 3970
86  org.python.python             	0x00001ea9 0x1000 + 3753

Thread 0 crashed with X86 Thread State (32-bit):
   eax: 0x01570020  ebx: 0x0185798b  ecx: 0x009fde00  edx: 0x01570020
   edi: 0x013e7930  esi: 0x013ce368  ebp: 0xbfff76a8  esp: 0xbfff766c
    ss: 0x0000001f  efl: 0x00010246  eip: 0x00000000   cs: 0x00000017
    ds: 0x0000001f   es: 0x0000001f   fs: 0x00000000   gs: 0x00000037
   cr2: 0x00000000

Binary Images:
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0x95e49000 - 0x95e56fe7  com.apple.opengl 1.5.10 (1.5.10) 
<5a2813f80c9441170cc1ab8a3dac5038> 
/System/Library/Frameworks/OpenGL.framework/Versions/A/OpenGL
0x960f9000 - 0x96124fe7  libauto.dylib ??? (???) 
<2072d673706bbe463ed2426af57a28d7> /usr/lib/libauto.dylib
0x96125000 - 0x96135fff  com.apple.speech.synthesis.framework 3.7.1 (3.7.1) 
<06d8fc0307314f8ffc16f206ad3dbf44> 
/System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/SpeechSynthesis.framework/Versions/A/SpeechSynthesis
0x96136000 - 0x96139fff  com.apple.help 1.1 (36) 
<175489f8adf287b3ebd259362b0292c0> 
/System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/Help.framework/Versions/A/Help
0x96163000 - 0x9643dff3  com.apple.CoreServices.CarbonCore 786.16 (786.16) 
<60b518e4ad02b91826240199a6311286> 
/System/Library/Frameworks/CoreServices.framework/Versions/A/Frameworks/CarbonCore.framework/Versions/A/CarbonCore
0x9643e000 - 0x96480fef  com.apple.NavigationServices 3.5.2 (163) 
<91844980804067b07a0b6124310d3f31> 
/System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/NavigationServices.framework/Versions/A/NavigationServices
0x96481000 - 0x96508ff7  libsqlite3.0.dylib ??? (???) 
<3334ea5af7a911637413334154bb4100> /usr/lib/libsqlite3.0.dylib
0x96509000 - 0x969dafbe  libGLProgrammability.dylib ??? (???) 
<7f18294a7bd0b6afe4319f29187fc70d> 
/System/Library/Frameworks/OpenGL.framework/Versions/A/Libraries/libGLProgrammability.dylib
0x969db000 - 0x96a68ff7  com.apple.LaunchServices 292 (292) 
<a41286c7c1eb20ffd5cc796f791070f0> 
/System/Library/Frameworks/CoreServices.framework/Versions/A/Frameworks/LaunchServices.framework/Versions/A/LaunchServices
0x96bee000 - 0x96bf2fff  libGIF.dylib ??? (???) 
<36f7b0255a81d97c7b360c3b11b4e462> 
/System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/ImageIO.framework/Versions/A/Resources/libGIF.dylib
0x96bf3000 - 0x97293fef  com.apple.CoreGraphics 1.409.7 (???) 
<7b65edcce394f39b6a1954d5e30bc34c> 
/System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/CoreGraphics.framework/Versions/A/CoreGraphics
0x97294000 - 0x97631fef  com.apple.QuartzCore 1.5.8 (1.5.8) 
<a28fa54346a9f9d5b3bef076a1ee0fcf> 
/System/Library/Frameworks/QuartzCore.framework/Versions/A/QuartzCore
0x97632000 - 0x976edfe3  com.apple.CoreServices.OSServices 228.1 (228.1) 
<76fdc146b4d9937f9c5cbaa1512e0023> 
/System/Library/Frameworks/CoreServices.framework/Versions/A/Frameworks/OSServices.framework/Versions/A/OSServices
0x9787e000 - 0x978bcfff  libGLImage.dylib ??? (???) 
<a6425aeb77f4da13212ac75df57b056d> 
/System/Library/Frameworks/OpenGL.framework/Versions/A/Libraries/libGLImage.dylib
0x97dcd000 - 0x97ddbffd  libz.1.dylib ??? (???) 
<545ca09467025f77131cfac09d8b9375> /usr/lib/libz.1.dylib
0x97ddc000 - 0x97e6fff3  com.apple.ApplicationServices.ATS 3.8 (???) 
<e61b0945da6ab368348a927f7428ad67> 
/System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/ATS.framework/Versions/A/ATS
0xfffe8000 - 0xfffebfff  libobjc.A.dylib ??? (???) /usr/lib/libobjc.A.dylib
0xffff0000 - 0xffff1780  libSystem.B.dylib ??? (???) /usr/lib/libSystem.B.dylib

This is the font file that matplotlib is having trouble with:

/home/michael/.fonts/kai26.afm

Google doesn't answer my question about what that font is (in fact, the 
first result is this e-mail thread!!!)  Can you send it to me off-list 
so I can investigate further?

Mike

On 12/04/2010 02:06 AM, Daoliang Tan wrote:
> Right now, I am not sure whether I am a member of the matplotlib-user 
> maillist. Since I don't receive any indication about the successful 
> application as other maillists did. But after googling, I find the 
> reply from Michael Droettboom. I really appreciate your kind help. 
> Based on your hints and suggestions, the command "ipython -pylab 
> --verbose-debug" produces the following outputs (sorry for this large 
> bunch block and I will explicitly give you the requried value of 
> "fpath" on line 578 of font_manager.py ) :
> ===============================================================================================================================================
> $HOME=/home/michael
> CONFIGDIR=/home/michael/.matplotlib
> matplotlib data path /usr/share/matplotlib/mpl-data
> loaded rc file /etc/matplotlibrc
> matplotlib version 0.99.3
> verbose.level debug
> interactive is False
> units is False
> platform is linux2
> loaded modules: ['numpy.core.info <http://numpy.core.info>', 
> 'IPython.iplib', 'ctypes.os', 'gc', 'matplotlib.tempfile', 
> 'distutils.sysconfig', 'types', 'IPython.ConfigLoader', 
> 'numpy.polynomial.exceptions', 'numpy.fft.types', 'numpy.ma.operator', 
> 'pprint', 'numpy.core.umath', 'matplotlib.matplotlib', 'string', 
> 'matplotlib.locale', 'numpy.lib.arraysetops', 'encodings.utf_8', 
> 'IPython.Debugger', 'datetime', 'numpy.core.machar', 'cmd', 
> 'numpy.ma.extras', 'numpy.fft.fftpack_lite', 'shlex', 
> 'IPython.testing.decorator_msim', 'IPython.excolors', 'dis', 
> 'numpy.numpy', 'IPython.external.simplegeneric', 'IPython.types', 
> 'numpy.lib.sys', 'numpy.ma.itertools', 'abc', 'bdb', 
> 'numpy.matrixlib.sys', 'matplotlib.sys', 'numpy.lib._compiled_base', 
> 'new', 'numpy.random.mtrand', 'IPython.external.fnmatch', 'xml', 
> 'optparse', '_ctypes', 'numpy.fft.numpy', 'exceptions', 'codecs', 
> 'numpy.os', 'matplotlib.sre_constants', 'matplotlib.os', 'StringIO', 
> 'IPython.platform', 'IPython.external.pwd', 'weakref', 
> 'numpy.core._internal', 'doctest', 'IPython.tokenize', 
> 'distutils.sys', 'numpy.matrixlib.numpy', 'base64', 'IPython.Release', 
> '_sre', 'matplotlib.re <http://matplotlib.re>', 'IPython', 'select', 
> 'ctypes._ctypes', '_heapq', 'numpy.lib.financial', 'binascii', 
> 'IPython.sys', 'IPython.genutils', 'tokenize', 'numpy.core.numpy', 
> 'numpy.polynomial.chebyshev', 'cPickle', 'IPython.macro', 
> 'IPython.string', 'matplotlib.pyparsing', 'numpy.core.fromnumeric', 
> 'numpy.ctypeslib', 'encodings.aliases', 'fnmatch', 'sre_parse', 
> 'pickle', 'IPython.prefilter', 'xml.sax.types', 
> 'numpy.lib.polynomial', 'numpy.compat', 'IPython.ipstruct', 
> 'IPython.inspect', 'numpy.core.records', 
> 'IPython.testing.decorators_numpy', 'strop', 'numpy.core.numeric', 
> 'IPython.shutil', 'IPython.Extensions.pickleshare', 'IPython.Logger', 
> 'IPython.subprocess', 'numpy.lib.utils', 'numpy.core.__builtin__', 
> 'codeop', 'numpy.lib.arrayterator', 'os.path', 'IPython.DPyGetOpt', 
> 'functools', 'numpy.core.numerictypes', 'numpy.ma.cPickle', 
> 'matplotlib.copy', 'numpy.matrixlib.defmatrix', 'tempfile', 
> 'IPython.doctest', 'IPython.external.md5', 'imp', 'IPython.pdb', 
> 'IPython.rlineimpl', 'numpy.core.scalarmath', 'numpy.linalg.info 
> <http://numpy.linalg.info>', 'matplotlib.__future__', 
> 'IPython.thread', 'IPython.Itpl', 'numpy.core.os', 
> 'IPython.Extensions.time', 'numpy.lib._datasource', 'token', 
> 'IPython.testing.sys', 'IPython.new', 'cStringIO', 'numpy.polynomial', 
> 'matplotlib.StringIO', 'IPython.platutils_posix', 'numpy.add_newdocs', 
> 'IPython.commands', 'encodings', 'IPython.threading', 
> 'numpy.lib.numpy', 're', 'IPython.external.string', 
> 'numpy.polynomial.polyutils', 'math', 'numpy.ma.warnings', 
> 'IPython.Queue', 'numpy.lib.warnings', 'ctypes.struct', 
> 'numpy.core.sys', 'md5', '_locale', 'thread', 'IPython.StringIO', 
> 'traceback', 'errno', 'IPython.traceback', '_collections', 
> 'matplotlib.traceback', 'IPython.Shell', 'xml.sax.sys', 
> 'numpy.random', 'numpy.linalg.numpy', 'IPython.external.tokenize', 
> 'numpy.lib.twodim_base', 'ctypes.sys', 'matplotlib.datetime', 
> 'posixpath', 'numpy.lib.re <http://numpy.lib.re>', 'IPython.re', 
> 'numpy.core.arrayprint', 'IPython.getopt', 'IPython.token', 
> 'numpy.lib.stride_tricks', 'numpy.lib.scimath', 'xml.sax.os', 
> '_codecs', 'numpy.lib.operator', 'numpy.__config__', 
> 'numpy.lib.ufunclike', 'copy', 'hashlib', 'keyword', 
> 'IPython.linecache', 'xml.sax.saxutils', 'posix', '_curses', 
> 'numpy.core.ctypes', 'IPython.OutputTrap', 'sre_compile', '_hashlib', 
> 'IPython.PyColorize', 'IPython.Extensions.warnings', 
> 'numpy._import_tools', 'IPython.history', '__main__', 'numpy.fft.info 
> <http://numpy.fft.info>', 'numpy.sys', 'IPython.bisect', 
> 'encodings.codecs', 'curses.curses', 'IPython.external.codecs', 
> 'IPython.readline', '_ssl', 'numpy.lib.index_tricks', 'warnings', 
> 'glob', 'IPython.ColorANSI', 'numpy.lib.os', 'matplotlib.cbook', 
> 'IPython.Extensions.os', 'linecache', 'xml.sax.codecs', 
> 'numpy.lib.cStringIO', 'numpy.linalg.linalg', 'matplotlib.warnings', 
> 'numpy.lib._iotools', 'random', '_bisect', 'subprocess', 
> 'IPython.bdb', 'ctypes._endian', 'encodings.encodings', 
> 'IPython.time', 'numpy.ma.numpy', 'numpy.lib.__future__', 
> 'IPython.Extensions.cPickle', 'numpy.compat.types', 'numpy.linalg', 
> 'IPython.OInspect', 'cProfile', 'IPython.cStringIO', 
> 'matplotlib.subprocess', 'numpy.lib.math', 'repr', 'ssl', 
> 'numpy.testing.re <http://numpy.testing.re>', 'numpy.version', 
> 'distutils.re <http://distutils.re>', '_lsprof', 'IPython.os', 
> 'numpy.lib.type_check', 'resource', 'IPython.external.os', 'bisect', 
> 'IPython.glob', 'numpy.lib.types', 'pydoc', 'threading', 
> 'IPython.ctypes', 'IPython.Extensions.glob', 'numpy.fft.helper', 
> 'IPython.external.warnings', 'numpy.lib.itertools', 
> 'IPython.external.shutil', 'IPython.external.glob', 'locale', 
> 'IPython.external', 'numpy.testing.types', 'IPython.testing.inspect', 
> 'numpy.testing.decorators', 'IPython.external.__future__', 
> 'matplotlib.string', 'urllib', 'IPython.__main__', 'fcntl', 
> 'IPython.Extensions.stat', 'distutils.os', 'IPython.hooks', 
> 'numpy.lib.info <http://numpy.lib.info>', 'ctypes', 
> 'IPython.generics', 'numpy.testing.sys', 'numpy.core._sort', 'Queue', 
> 'commands', 'numpy.lib.shutil', 'IPython.socket', 'itertools', 
> 'numpy.fft.fftpack', 'opcode', 'pdb', 'numpy.polynomial.numpy', 
> 'IPython.testing', 'curses._curses', 'IPython.external.path', 
> 'IPython.codeop', 'pkgutil', 'platform', 'sre_constants', 
> 'matplotlib.types', 'numpy.core.function_base', 'numpy', 
> 'IPython.strdispatch', 'numpy.polynomial.warnings', 'matplotlib.xml', 
> 'termios', 'numpy.lib.shape_base', 'IPython.IPython', 'curses.sys', 
> 'numpy.testing.os', 'IPython.resource', 'numpy.lib', 
> 'distutils.types', 'IPython.Extensions.IPython', 'IPython.optparse', 
> 'IPython.curses', 'distutils.distutils', 'copy_reg', 'site', 
> 'IPython.cProfile', 'shutil', 'numpy.lib.cPickle', 
> 'numpy.core._dotblas', 'numpy.testing.traceback', 'numpy.ctypes', 
> 'numpy.core', 'matplotlib.rcsetup', 'IPython.wildcard', 'curses.os', 
> 'IPython.shadowns', 'numpy.core.types', 'sys', 
> 'numpy.compat._inspect', 'IPython.ipmaker', 'IPython.background_jobs', 
> 'matplotlib.fontconfig_pattern', '_weakref', 'difflib', 
> 'distutils.errors', 'urlparse', 'IPython.ipapi', 
> 'numpy.testing.numpy', 'heapq', 'xml.sax.urlparse', 'distutils', 
> 'IPython.signal', 'matplotlib.errno', 'IPython.Prompts', 
> 'matplotlib.colors', 'struct', 'numpy.random.info 
> <http://numpy.random.info>', 'xml.sax.urllib', 'matplotlib.threading', 
> 'numpy.testing.operator', 'numpy.testing', 'collections', 
> 'IPython.pydoc', 'unittest', 'zipimport', 'IPython.Magic', 
> 'numpy.testing.unittest', 'textwrap', 'getopt', 
> 'numpy.lib.__builtin__', 'signal', 'numpy.lib.io 
> <http://numpy.lib.io>', 'IPython.shlex', 'numpy.core.multiarray', 
> 'IPython.exceptions', 'distutils.version', 'numpy.ma.core', 
> 'numpy.core.getlimits', 'IPython.termios', 'numpy.matrixlib', 
> 'IPython.testing.decorators', 'numpy.polynomial.string', 
> 'matplotlib.numpy', 'UserDict', 'inspect', '_functools', 
> 'numpy.__builtin__', 'socket', 'IPython.cmd', 'numpy.core.memmap', 
> 'numpy.testing.warnings', 'IPython.external.Itpl', 
> 'numpy.linalg.lapack_lite', 'os', 'marshal', 'IPython.FakeModule', 
> '__future__', 'numpy.core.shape_base', 'curses', '__builtin__', 
> 'xml.sax.xmlreader', 'numpy.core.cPickle', 'operator', 
> 'numpy.polynomial.polytemplate', 'distutils.string', 'IPython.usage', 
> '_socket', 'numpy.ma <http://numpy.ma>', 'xml.sax.handler', 
> '_warnings', 'encodings.__builtin__', 'IPython.platutils', 
> 'IPython.keyword', 'pwd', 'sitecustomize', 'curses.wrapper', 
> 'IPython.__builtin__', 'numpy.core.re <http://numpy.core.re>', 
> '_struct', 'numpy.fft', 'numpy.random.numpy', 
> 'numpy.lib.function_base', 'IPython.ultraTB', 'IPython.tempfile', 
> 'xml.sax', '_random', 'IPython.external.types', 
> 'numpy.polynomial.polynomial', 'IPython.Extensions.UserDict', 
> 'matplotlib.weakref', 'IPython.pprint', 'numpy.testing.numpytest', 
> 'IPython.textwrap', 'numpy.core.defchararray', 'gettext', 
> 'IPython.external.sys', '_abcoll', 'IPython.Extensions', 
> 'IPython.fnmatch', 'matplotlib.time', 'xml.sax._exceptions', 
> 'genericpath', 'stat', 'IPython.warnings', 'numpy.core.warnings', 
> 'ctypes.ctypes', 'numpy.lib.format', 'readline', 
> 'numpy.testing.nosetester', 'matplotlib', 'IPython.cPickle', 
> 'numpy.polynomial.__future__', 'matplotlib.distutils', 
> 'matplotlib.shutil', 'time', 'numpy.testing.utils']
> font search path ['/usr/share/matplotlib/mpl-data/fonts/ttf', 
> '/usr/share/matplotlib/mpl-data/fonts/afm']
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmb10.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmex10.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz5Sym.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3SymBol.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3Sym.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2Sym.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmr10.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2SymBol.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmss10.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1SymBol.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4SymBol.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4Sym.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1Sym.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf
> trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf
> trying fontname 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSans-Bold.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasI.ttf
> trying fontname 
> /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasR.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/verdanai.ttf
> trying fontname /usr/share/fonts/truetype/freefont/FreeSerif.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationMono-Bold.ttf
> trying fontname /usr/share/fonts/truetype/arphic/gbsn00lp.ttf
> trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono.ttf
> trying fontname /usr/share/fonts/truetype/ttf-lyx/cmmi10.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasB.ttf
> trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBd.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Regular.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Georgia_Bold.ttf
> trying fontname /usr/share/fonts/truetype/freefont/FreeSerifBold.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationMono-Italic.ttf
> trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-Bold.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/georgiab.ttf
> trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasI.ttf
> trying fontname /usr/share/fonts/truetype/freefont/FreeSansOblique.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Andale_Mono.ttf
> trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoBd.ttf
> trying fontname 
> /usr/share/fonts/truetype/msttcorefonts/Courier_New_Bold.ttf
> trying fontname 
> /usr/share/fonts/truetype/msttcorefonts/Georgia_Bold_Italic.ttf
> trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraSeBd.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Oblique.ttf
> trying fontname /home/michael/.fonts/gbsn00lp.ttf
> trying fontname 
> /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold_Italic.ttf
> trying fontname /usr/share/fonts/truetype/ttf-lyx/eufm10.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-BoldOblique.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSans-Italic.ttf
> trying fontname /usr/share/fonts/truetype/ttf-lyx/wasy10.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Impact.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-BoldOblique.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Georgia.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Bold.ttf
> trying fontname /usr/share/fonts/truetype/ttf-lyx/msbm10.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/andalemo.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/arialbi.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Verdana.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-Bold.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-BoldItalic.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Oblique.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/cour.ttf
> trying fontname /usr/share/fonts/truetype/ttf-sil-gentium/GenR102.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Italic.ttf
> trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBI.ttf
> trying fontname /home/michael/.fonts/Ubuntu-R.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-BoldItalic.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/courbd.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-Bold.ttf
> trying fontname 
> /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Italic.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Bold.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Courier_New.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/comicbd.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Arial.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/courbi.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/times.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/Verdana_Italic.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSans-BoldItalic.ttf
> trying fontname /usr/share/fonts/truetype/ttf-sil-gentium/GenAR102.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/couri.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/georgia.ttf
> trying fontname /usr/share/fonts/truetype/msttcorefonts/trebuc.ttf
> trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans.ttf
> trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraIt.ttf
> trying fontname /usr/share/fonts/truetype/arphic/bsmi00lp.ttf
> trying fontname /usr/share/fonts/truetype/freefont/FreeSansBold.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-BoldOblique.ttf
> trying fontname /usr/share/fonts/truetype/freefont/FreeMonoBold.ttf
> trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Bold.ttf
> trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMono.ttf
> trying fontname 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-ExtraLight.ttf
> trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/Vera.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmb10.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmex10.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz5Sym.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3SymBol.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3Sym.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2Sym.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmr10.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2SymBol.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmss10.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1SymBol.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4SymBol.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4Sym.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1Sym.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf
> createFontDict: 
> /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSans-Bold.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasI.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasR.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdanai.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSerif.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationMono-Bold.ttf
> createFontDict: /usr/share/fonts/truetype/arphic/gbsn00lp.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmmi10.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasB.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBd.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Regular.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Georgia_Bold.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSerifBold.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationMono-Italic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-Bold.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgiab.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasI.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSansOblique.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Andale_Mono.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoBd.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Courier_New_Bold.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Georgia_Bold_Italic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraSeBd.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Oblique.ttf
> createFontDict: /home/michael/.fonts/gbsn00lp.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold_Italic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/eufm10.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-BoldOblique.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSans-Italic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/wasy10.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Impact.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-BoldOblique.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Georgia.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Bold.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/msbm10.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/andalemo.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/arialbi.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Verdana.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-Bold.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-BoldItalic.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Oblique.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/cour.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenR102.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Italic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBI.ttf
> createFontDict: /home/michael/.fonts/Ubuntu-R.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-BoldItalic.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/courbd.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-Bold.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Italic.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Bold.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Courier_New.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/comicbd.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/courbi.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/times.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Verdana_Italic.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSans-BoldItalic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenAR102.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/couri.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgia.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebuc.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraIt.ttf
> createFontDict: /usr/share/fonts/truetype/arphic/bsmi00lp.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSansBold.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-BoldOblique.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeMonoBold.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Bold.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMono.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-ExtraLight.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/Vera.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdanaz.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgiai.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Comic_Sans_MS_Bold.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Georgia_Italic.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Courier_New_Italic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenI102.ttf
> createFontDict: /home/michael/.fonts/gkai00mp.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-BoldItalic.ttf
> createFontDict: /home/michael/.fonts/Ubuntu-B.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/esint10.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmsy10.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/ariblk.ttf
> createFontDict: /usr/share/fonts/truetype/openoffice/opens___.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Verdana_Bold_Italic.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasR.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-Italic.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial_Black.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Webdings.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Verdana_Bold.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSansBoldOblique.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial_Italic.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeMonoBoldOblique.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSans.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasB.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmr10.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/ariali.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSerifBoldItalic.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebucbi.ttf
> createFontDict: /home/michael/.fonts/Ubuntu-BI.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeMono.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/timesi.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Italic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoBI.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgiaz.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Courier_New_Bold_Italic.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/arialbd.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/timesbd.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Bold.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-Italic.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdana.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/arial.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeMonoOblique.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/comic.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraSe.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/webdings.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenAI102.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-Oblique.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial_Bold.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebucit.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationMono-Regular.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasBI.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/timesbi.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/Comic_Sans_MS.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoIt.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Arial_Bold_Italic.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasBI.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationMono-BoldItalic.ttf
> createFontDict: /home/michael/.fonts/wqy-zenhei.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/impact.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdanab.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Bold_Italic.ttf
> createFontDict: /usr/share/fonts/truetype/arphic/gkai00mp.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/msam10.ttf
> createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebucbd.ttf
> createFontDict: /usr/share/fonts/truetype/freefont/FreeSerifItalic.ttf
> createFontDict: 
> /usr/share/fonts/truetype/ttf-liberation/LiberationSans-Regular.ttf
> createFontDict: /home/michael/.fonts/Ubuntu-I.ttf
> createFontDict: 
> /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold.ttf
> createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmex10.ttf
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvl8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pzcmi8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplb8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putbi8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvro8an.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkd8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncri8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrb8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvr8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putb8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncb8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrro8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmex10.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmtt10.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvr8an.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvro8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmr8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplbi8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmsy10.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagk8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrr8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmmi10.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagko8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkdi8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvbo8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmr10.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagdo8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmb8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvlo8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvb8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pzdr.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmri8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplr8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkl8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncbi8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/psyr.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putri8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplri8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmbi8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkli8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putr8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagd8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncr8a.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvbo8an.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvb8an.afm
> createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrbo8a.afm
> createFontDict: /home/michael/.fonts/kai26.afm
> Traceback (most recent call last):
>  File "/usr/bin/ipython", line 28, in <module>
>    IPython.Shell.start().mainloop()
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1241, in start
>    return shell(user_ns = user_ns)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1106, in 
> __init__
>    shell_class=MatplotlibShell)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 73, in 
> __init__
>    debug=debug,shell_class=shell_class)
>  File "/usr/lib/pymodules/python2.6/IPython/ipmaker.py", line 100, in 
> make_IPython
>    embedded=embedded,**kw)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 627, in 
> __init__
>    user_ns,user_global_ns,b2 = 
> self._matplotlib_config(name,user_ns,user_global_ns)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 556, in 
> _matplotlib_config
>    import matplotlib.pylab as pylab
>  File "/usr/lib/pymodules/python2.6/matplotlib/pylab.py", line 206, in 
> <module>
>    from matplotlib import mpl  # pulls in most modules
>  File "/usr/lib/pymodules/python2.6/matplotlib/mpl.py", line 2, in 
> <module>
>    from matplotlib import axis
>  File "/usr/lib/pymodules/python2.6/matplotlib/axis.py", line 10, in 
> <module>
>    import matplotlib.font_manager as font_manager
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 
> 1301, in <module>
>    _rebuild()
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 
> 1292, in _rebuild
>    fontManager = FontManager()
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 
> 1010, in __init__
>    self.afmlist = createFontList(self.afmfiles, fontext='afm')
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 
> 578, in createFontList
>    font = afm.AFM(fh)
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 303, in 
> __init__
>    parse_afm(fh)
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 291, in 
> parse_afm
>    dcmetrics_ascii, dcmetrics_name = _parse_char_metrics(fh)
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 176, in 
> _parse_char_metrics
>    bbox = _to_list_of_floats(vals[3][2:])
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 58, in 
> _to_list_of_floats
>    return [_to_float(val) for val in s.split()]
> ValueError: invalid literal for float(): uni2605
> =================================================================================================================================================
> *The fpath value is *
> /usr/share/matplotlib/mpl-data/fonts/afm/phvl8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pzcmi8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pplb8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/putbi8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvro8an.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pbkd8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pncri8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pcrb8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvr8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/putb8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pncb8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pcrro8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/cmex10.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/cmtt10.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvr8an.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvro8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/ptmr8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pplbi8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/cmsy10.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pagk8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pcrr8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/cmmi10.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pagko8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pbkdi8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvbo8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/cmr10.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pagdo8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/ptmb8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvlo8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvb8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pzdr.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/ptmri8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pplr8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pbkl8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pncbi8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/psyr.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/putri8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pplri8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/ptmbi8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pbkli8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/putr8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pagd8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pncr8a.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvbo8an.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/phvb8an.afm
> /usr/share/matplotlib/mpl-data/fonts/afm/pcrbo8a.afm
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
> Hopefully, this info can help to pinpoint the difficult font file.
>
> Thanks for your help!
>
> Daoliang
>
>
>
>
>
> On Fri, Nov 26, 2010 at 9:54 AM, Daoliang Tan 
> <dao...@gm... <mailto:dao...@gm...>> wrote:
> > Dear all,
> >
> > I am facing a weird problem when I import pylab or pyplot modules.
> > Right now, I can successfully import matplotlib. But  after I issue
> > the command "ipython -pylab --verbose-helpful", I get the following
> > error:
> > 
> =================================================================================================================================================
> > $HOME=/home/michael
> > CONFIGDIR=/home/michael/.matplotlib
> > matplotlib data path /usr/share/matplotlib/mpl-data
> > loaded rc file /etc/matplotlibrc
> > matplotlib version 0.99.3
> > verbose.level helpful
> > interactive is False
> > units is False
> > platform is linux2
> > font search path ['/usr/share/matplotlib/mpl-data/fonts/ttf',
> > '/usr/share/matplotlib/mpl-data/fonts/afm']
> > Traceback (most recent call last):
> >  File "/usr/bin/ipython", line 28, in <module>
> >    IPython.Shell.start().mainloop()
> >  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1241, in 
> start
> >    return shell(user_ns = user_ns)
> >  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1106, in 
> __init__
> >    shell_class=MatplotlibShell)
> >  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 73, in 
> __init__
> >    debug=debug,shell_class=shell_class)
> >  File "/usr/lib/pymodules/python2.6/IPython/ipmaker.py", line 100, in
> > make_IPython
> >    embedded=embedded,**kw)
> >  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 627, in 
> __init__
> >    user_ns,user_global_ns,b2 =
> > self._matplotlib_config(name,user_ns,user_global_ns)
> >  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 556, in
> > _matplotlib_config
> >    import matplotlib.pylab as pylab
> >  File "/usr/lib/pymodules/python2.6/matplotlib/pylab.py", line 206, 
> in <module>
> >    from matplotlib import mpl  # pulls in most modules
> >  File "/usr/lib/pymodules/python2.6/matplotlib/mpl.py", line 2, in 
> <module>
> >    from matplotlib import axis
> >  File "/usr/lib/pymodules/python2.6/matplotlib/axis.py", line 10, in 
> <module>
> >    import matplotlib.font_manager as font_manager
> >  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> > 1301, in <module>
> >    _rebuild()
> >  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> > 1292, in _rebuild
> >    fontManager = FontManager()
> >  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> > 1010, in __init__
> >    self.afmlist = createFontList(self.afmfiles, fontext='afm')
> >  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> > 578, in createFontList
> >    font = afm.AFM(fh)
> >  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 303, in 
> __init__
> >    parse_afm(fh)
> >  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 291, in 
> parse_afm
> >    dcmetrics_ascii, dcmetrics_name = _parse_char_metrics(fh)
> >  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 176, in
> > _parse_char_metrics
> >    bbox = _to_list_of_floats(vals[3][2:])
> >  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 58, in
> > _to_list_of_floats
> >    return [_to_float(val) for val in s.split()]
> > ValueError: invalid literal for float(): uni2605
> > 
> ===========================================================================================================================================
> >
> > Each time, as long as I import pylab OR pyplot, I will obtain
> > "ValueError: invalid literal for float(): uni2605". After googling a
> > long time, I can not get an idea to address this issue. Can anyone
> > give me some hints?
> >
> > My computer configuration is the following:
> >
> > 1. OS: debian squeeze Linux  2.6.32-5-amd64 #1 SMP Sat Oct 30 14:18:21
> > UTC 2010 x86_64 GNU/Linux
> > 2. matplotlib version:  0.99.3
> > 3. The matplotlib is installed from the debian repository.
> > 4. no any special customization of "matplotlibrc"
> > 5. import pylab will produce this error.
> > 6. python version: 2.6.6-3
> >
> >
> > I have reinstalled these packages many times and this does not solve
> > this issue.
> >
> > Thanks for your help!
> >
> > Daoliang
> >
>
>
> ------------------------------------------------------------------------------
> What happens now with your Lotus Notes apps - do you make another costly
> upgrade, or settle for being marooned without product support? Time to move
> off Lotus Notes and onto the cloud with Force.com, apps are easier to build,
> use, and manage than apps on traditional platforms. Sign up for the Lotus
> Notes Migration Kit to learn more. http://p.sf.net/sfu/salesforce-d2d
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>    


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

On Sun, Dec 5, 2010 at 9:33 PM, Jae-Joon Lee <lee...@gm...> wrote:

> Here is a modified version of the code. Note that since it uses
> non-public APIs, it may stop to work again in the future. According to
> your original post, you seem to want to pick up points only. I guess
> the better way is to have a separate artists. One for points and the
> other for line segments.
>
>
JJ, Thank you very much.  This is good to know.  However, I had hoped that
getting this check of the line's validity would clear up the main problem
I've had since going to 1.0--but it did not, The problem is:

Prior to upgrade, I could get picking on a) the legend, and b) all points on
the graph, whether the graph had one y axis or two (using twinx).

Now, after upgrade, if I only have one y axis, I can get fine point picking
and legend picking, but if I have two y axes, I can't get legend picking and
can only get point picking on the points that belong to the left y axis, not
the right y axis.

I get no errors, but no (full) point picking, either.  I need to get this
cleared up and I'd love to stay with 1.0, but I don't know what the issue
might be.

Che

Here is a modified version of the code. Note that since it uses
non-public APIs, it may stop to work again in the future. According to
your original post, you seem to want to pick up points only. I guess
the better way is to have a separate artists. One for points and the
other for line segments.

Regards,

-JJ


def contains_points(self, mouseevent):

    pickradius = self.pickradius

    # Make sure we have data to plot
    #if self._invalid:
    if self._invalidy or self._invalidx:
        self.recache()
    if len(self._xy)==0: return False,{}

    # Convert points to pixels
    if self._transformed_path is None:
        self._transform_path()
    path, affine = self._transformed_path.get_transformed_points_and_affine()
    path = affine.transform_path(path)
    xy = path.vertices
    xt = xy[:, 0]
    yt = xy[:, 1]

    pixels = self.figure.dpi/72. * self.pickradius

    d = (xt-mouseevent.x)**2 + (yt-mouseevent.y)**2
    ind, = np.nonzero(np.less_equal(d, pixels**2))

    # Return the point(s) within radius
    return len(ind)>0,dict(ind=ind)

On Mon, Dec 6, 2010 at 8:19 AM, C M <cmp...@gm...> wrote:
> Hello.  I upgraded from about mpl 0.98.5 to 1.0, and this code, which worked
> in 0.98.5:
>
>     if line._invalid:
>         line.recache()
>
> now gives this error:
>
>   AttributeError: 'Line2D' object has no attribute '_invalid'
>
> What is now (1.0) the right way to test whether a Line2D object is invalid?
>
> Thanks very much,
> Che
>
> (This question is in another recent post of mine, but this is much more to
> the point)
>
> ------------------------------------------------------------------------------
> What happens now with your Lotus Notes apps - do you make another costly
> upgrade, or settle for being marooned without product support? Time to move
> off Lotus Notes and onto the cloud with Force.com, apps are easier to build,
> use, and manage than apps on traditional platforms. Sign up for the Lotus
> Notes Migration Kit to learn more. http://p.sf.net/sfu/salesforce-d2d
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hello.  I upgraded from about mpl 0.98.5 to 1.0, and this code, which worked
in 0.98.5:

    if line._invalid:
        line.recache()

now gives this error:

  AttributeError: 'Line2D' object has no attribute '_invalid'

What is now (1.0) the right way to test whether a Line2D object is invalid?

Thanks very much,
Che

(This question is in another recent post of mine, but this is much more to
the point)

On Sun, Dec 5, 2010 at 5:29 AM, prem kiran <pre...@gm...> wrote:

> THANK YOU
>                   thank you for the response .I have problem using sympy
> libraray in python.I am unable to use plot module .I am unable to import it
> .what i require is given a function ,i should be able to plot it with all
> the axes with and origin marked.also i should be able to zoom out the graph
> and zoom in.Is there any such module?.This sympy is coming clsoe to my
> requirements an dihave started using it but ended up here.kindly reply if
> you know the solution.
> THANKS ONCE AGAIN
>
>
Prem,

I am getting a little bit confused.  Have you been using SymPy and you are
having difficulty getting the results to plot?  If so, is that the reason
why you are looking for another way to get your expressions plotted?  If
this is the case, then you need to take a completely different approach.

Obviously, if the Plot module in SymPy is not working, then your
installation is somehow messed up and needs to be fixed.  SymPy will do
everything you need it to do.  I suggest contacting the people on the SymPy
mailing list:

http://groups.google.com/group/sympy?pli=1

and see if they can help you with the plotting issue.  Be sure to tell them
that you are having difficulty with importing the Plot module.  Copy and
paste the error message that you get so that they can help you resolve that
issue.

Ben Root

Solved my own bone-headded problem.  I should have been using "p1.xaxis"
instead of "p1.yaxis".  Sorry for the pointless post.

Adrian

2010/12/4 Adrian <adr...@du...>

> Hello,
>
> I am having trouble setting the formatting for date objects that are
> displayed on the tick marks of one graph that I am making.  The following
> example code reproduces the problem for me:
>
> from datetime import date
>
> import matplotlib.dates as mdate
>
> import matplotlib.pyplot as plt
>
> p1 = plt.subplot(211)
>
> p1.yaxis.set_major_formatter(mdate.DateFormatter('%b %d', None))
>
> plt.plot([date(2002, 3, 10)], [1])
>
> The traceback that I am getting is as follows:
> Traceback (most recent call last):
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/artist.py",
> line 55, in draw_wrapper
>     draw(artist, renderer, *args, **kwargs)
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/figure.py",
> line 798, in draw
>     func(*args)
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/artist.py",
> line 55, in draw_wrapper
>     draw(artist, renderer, *args, **kwargs)
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/axes.py",
> line 1934, in draw
>     a.draw(renderer)
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/artist.py",
> line 55, in draw_wrapper
>     draw(artist, renderer, *args, **kwargs)
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/axis.py",
> line 971, in draw
>     tick_tups = [ t for t in self.iter_ticks()]
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/axis.py",
> line 907, in iter_ticks
>     majorLabels = [self.major.formatter(val, i) for i, val in
> enumerate(majorLocs)]
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/dates.py",
> line 335, in __call__
>     dt = num2date(x, self.tz)
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/dates.py",
> line 289, in num2date
>     if not cbook.iterable(x): return _from_ordinalf(x, tz)
>   File
> "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/dates.py",
> line 203, in _from_ordinalf
>     dt = datetime.datetime.fromordinal(ix)
> ValueError: ordinal must be >= 1
>
> Any idea what I could be doing wrong with my formatting here?  I am using
> Matplotlib version 1.0.0.  Thanks very much,
>
> Adrian
>

On 04/12/2010 02:34, K. Larsen wrote:
> The LTSpice circuit simulation program outputs a file that looks like this:
>
> Freq.   V(n003) V(n005) V(n007)
> 1.00000e+000    (-1.68072e+002dB,1.79085e+002°)
> (-1.71453e-006dB,-3.60000e-002°)    (-8.40364e+001dB,8.99964e+001°)
> 1.07177e+000    (-1.66868e+002dB,1.79145e+002°)
> (-1.96947e-006dB,-3.85838e-002°)    (-8.34343e+001dB,8.99961e+001°)
> 1.14870e+000    (-1.65664e+002dB,1.79202e+002°)
> (-2.26233e-006dB,-4.13531e-002°)    (-8.28323e+001dB,8.99959e+001°)
> ...
>
> As can be seen there are 4 tab-delimited columns. The first column is
> the dependent (horizontal) axis and represents Frequency.  The
> following 3 columns each contain 2 comma-delimited data points
> including their units. These are the magnitude expressed in decibels
> and the phase expressed in degrees.
>
> I'd like to be able to plot this file.  6 separate plots should
> result, or 3 pairs of 2 waveforms that share the same plot yet have 2
> different axes.  What is the best method to accomplish this?
The matplotlib examples api/two_scales.py & 
pylab_examples/shared_axis_demo.py may be what you require to display 
your data. Though I must admit to not having tried both at the same time :)

For extracting data my personal preference is to use the csv module with 
generators and regular expressions - keeping results in namedtuples. 
Quickly written example for your data:

# -*- mode: python tab-width: 4 coding: utf-8 -*-
# tested with Python 2.6
from future_builtins import map

import csv
import re
from collections import deque, namedtuple
import numpy as np

RowTuple = namedtuple('RowTuple', 'freq col1 col2 col3')
ColumnTuple = namedtuple('ColumnTuple', 'magnitude phase')
DequeTuple = namedtuple('DequeTuple', 'freq magnitude1 phase1 magnitude2 
phase2 magnitude3 phase3')

def readLTSpice(filename):
     # try codec.open() if not ascii
     with open(filename, 'rb') as fp:
         fp.next() # discard the first row
         for row in csv.reader(fp, delimiter='\t'):
             yield RowTuple(*row)

def splitColumn(col):
     # use a regular expression to extract floating point number
     # n.b. regular expressions are cached by the re module
     exp = re.compile(r"[+-]? *(?:\d+(?:\.\d*)?|\.\d+)(?:[eE][+-]?\d+)?")
     return ColumnTuple(*map(float, exp.findall(col)))

def processFile(filename):
     rows = readLTSpice(filename)
     rows = (RowTuple(row.freq, splitColumn(row.col1), 
splitColumn(row.col2), splitColumn(row.col3)) for row in rows)

     # if there is a large number of points then deque() is more efficient
     # than lists as there is no copying when more memory is required
     result = DequeTuple(deque(), deque(), deque(), deque(), deque(), 
deque(), deque())

     for row in rows:
         result.freq.append(row.freq)
         result.magnitude1.append(row.col1.magnitude)
         result.magnitude2.append(row.col2.magnitude)
         result.magnitude3.append(row.col3.magnitude)
         result.phase1.append(row.col1.phase)
         result.phase2.append(row.col2.phase)
         result.phase3.append(row.col3.phase)

     return result

processed = processFile('ltspice.data')

# convert to numpy arrays for use with matplotlib
freq = np.asarray(processed.freq)
magnitude1 = np.asarray(processed.magnitude1)
magnitude2 = np.asarray(processed.magnitude2)
magnitude3 = np.asarray(processed.magnitude3)
phase1 = np.asarray(processed.phase1)
phase2 = np.asarray(processed.phase2)
phase3 = np.asarray(processed.phase3)

# ready for plotting...



Stephen Evans

Hello,

I am having trouble setting the formatting for date objects that are
displayed on the tick marks of one graph that I am making.  The following
example code reproduces the problem for me:

from datetime import date

import matplotlib.dates as mdate

import matplotlib.pyplot as plt

p1 = plt.subplot(211)

p1.yaxis.set_major_formatter(mdate.DateFormatter('%b %d', None))

plt.plot([date(2002, 3, 10)], [1])

The traceback that I am getting is as follows:
Traceback (most recent call last):
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/figure.py",
line 798, in draw
    func(*args)
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/axes.py",
line 1934, in draw
    a.draw(renderer)
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/artist.py",
line 55, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/axis.py",
line 971, in draw
    tick_tups = [ t for t in self.iter_ticks()]
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/axis.py",
line 907, in iter_ticks
    majorLabels = [self.major.formatter(val, i) for i, val in
enumerate(majorLocs)]
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/dates.py",
line 335, in __call__
    dt = num2date(x, self.tz)
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/dates.py",
line 289, in num2date
    if not cbook.iterable(x): return _from_ordinalf(x, tz)
  File
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/dates.py",
line 203, in _from_ordinalf
    dt = datetime.datetime.fromordinal(ix)
ValueError: ordinal must be >= 1

Any idea what I could be doing wrong with my formatting here?  I am using
Matplotlib version 1.0.0.  Thanks very much,

Adrian

On Sat, Dec 4, 2010 at 7:41 AM, prem kiran <pre...@gm...> wrote:

> hi
>
>        I have got a parametric equation in string form .Now , i want to
> plot the function for the above equation and find slope for some points on
> the function.Is there a way to find it using the matplotlib library ?.if
> there isn't, is there another library which i could use for the above said
> task.
> THANK YOU
>
>
>
Prem,

Matplotlib is used for plotting given data.  NumPy is used to perform
calculations to produce the data (which, in turn, matplotlib can plot it).
However, you said that you have the equation in a string form.  Are you
looking to be able to evaluate any arbitrary parametric equation (given
possibly by user input, perhaps?).  If so, then maybe you need to look at
Numexpr which can evaluate a string expression for you and return numpy
arrays of the result.

http://www.scipy.org/SciPyPackages/NumExpr

Let us know if you have any questions.

Ben Root

 hi

       I have got a parametric equation in string form .Now , i want to plot
the function for the above equation and find slope for some points on the
function.Is there a way to find it using the matplotlib library ?.if there
isn't, is there another library which i could use for the above said task.
THANK YOU



-- 
PREM KIRAN
2nd YEAR
DEPARTMENT OF MECHANICAL ENGINEERING
IIT MADRAS
CHENNAI

Right now, I am not sure whether I am a member of the matplotlib-user
maillist. Since I don't receive any indication about the successful
application as other maillists did. But after googling, I find the reply
from Michael Droettboom. I really appreciate your kind help. Based on your
hints and suggestions, the command "ipython -pylab --verbose-debug" produces
the following outputs (sorry for this large bunch block and I will
explicitly give you the requried value of "fpath" on line 578 of
font_manager.py ) :
===============================================================================================================================================
$HOME=/home/michael
CONFIGDIR=/home/michael/.matplotlib
matplotlib data path /usr/share/matplotlib/mpl-data
loaded rc file /etc/matplotlibrc
matplotlib version 0.99.3
verbose.level debug
interactive is False
units is False
platform is linux2
loaded modules: ['numpy.core.info', 'IPython.iplib', 'ctypes.os', 'gc',
'matplotlib.tempfile', 'distutils.sysconfig', 'types',
'IPython.ConfigLoader', 'numpy.polynomial.exceptions', 'numpy.fft.types',
'numpy.ma.operator', 'pprint', 'numpy.core.umath', 'matplotlib.matplotlib',
'string', 'matplotlib.locale', 'numpy.lib.arraysetops', 'encodings.utf_8',
'IPython.Debugger', 'datetime', 'numpy.core.machar', 'cmd',
'numpy.ma.extras', 'numpy.fft.fftpack_lite', 'shlex',
'IPython.testing.decorator_msim', 'IPython.excolors', 'dis', 'numpy.numpy',
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'numpy.ma.itertools', 'abc', 'bdb', 'numpy.matrixlib.sys', 'matplotlib.sys',
'numpy.lib._compiled_base', 'new', 'numpy.random.mtrand',
'IPython.external.fnmatch', 'xml', 'optparse', '_ctypes', 'numpy.fft.numpy',
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'difflib', 'distutils.errors', 'urlparse', 'IPython.ipapi',
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'matplotlib.colors', 'struct', 'numpy.random.info', 'xml.sax.urllib',
'matplotlib.threading', 'numpy.testing.operator', 'numpy.testing',
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'numpy.testing.unittest', 'textwrap', 'getopt', 'numpy.lib.__builtin__',
'signal', 'numpy.lib.io', 'IPython.shlex', 'numpy.core.multiarray',
'IPython.exceptions', 'distutils.version', 'numpy.ma.core',
'numpy.core.getlimits', 'IPython.termios', 'numpy.matrixlib',
'IPython.testing.decorators', 'numpy.polynomial.string', 'matplotlib.numpy',
'UserDict', 'inspect', '_functools', 'numpy.__builtin__', 'socket',
'IPython.cmd', 'numpy.core.memmap', 'numpy.testing.warnings',
'IPython.external.Itpl', 'numpy.linalg.lapack_lite', 'os', 'marshal',
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'__builtin__', 'xml.sax.xmlreader', 'numpy.core.cPickle', 'operator',
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'_socket', 'numpy.ma', 'xml.sax.handler', '_warnings',
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font search path ['/usr/share/matplotlib/mpl-data/fonts/ttf',
'/usr/share/matplotlib/mpl-data/fonts/afm']
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmb10.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmex10.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz5Sym.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf
trying fontname
/usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3SymBol.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3Sym.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2Sym.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmr10.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2SymBol.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmss10.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1SymBol.ttf
trying fontname
/usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4SymBol.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4Sym.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1Sym.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf
trying fontname /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf
trying fontname
/usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationSans-Bold.ttf
trying fontname
/usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasI.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf
trying fontname
/usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasR.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/verdanai.ttf
trying fontname /usr/share/fonts/truetype/freefont/FreeSerif.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationMono-Bold.ttf
trying fontname /usr/share/fonts/truetype/arphic/gbsn00lp.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono.ttf
trying fontname /usr/share/fonts/truetype/ttf-lyx/cmmi10.ttf
trying fontname /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasB.ttf
trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBd.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Regular.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Georgia_Bold.ttf
trying fontname /usr/share/fonts/truetype/freefont/FreeSerifBold.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationMono-Italic.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-Bold.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/georgiab.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif.ttf
trying fontname /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasI.ttf
trying fontname /usr/share/fonts/truetype/freefont/FreeSansOblique.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Andale_Mono.ttf
trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoBd.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Courier_New_Bold.ttf
trying fontname
/usr/share/fonts/truetype/msttcorefonts/Georgia_Bold_Italic.ttf
trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraSeBd.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Oblique.ttf
trying fontname /home/michael/.fonts/gbsn00lp.ttf
trying fontname
/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold_Italic.ttf
trying fontname /usr/share/fonts/truetype/ttf-lyx/eufm10.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-BoldOblique.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationSans-Italic.ttf
trying fontname /usr/share/fonts/truetype/ttf-lyx/wasy10.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Impact.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-BoldOblique.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Georgia.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Bold.ttf
trying fontname /usr/share/fonts/truetype/ttf-lyx/msbm10.ttf
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trying fontname /usr/share/fonts/truetype/msttcorefonts/arialbi.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Verdana.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-Bold.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-BoldItalic.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Oblique.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/cour.ttf
trying fontname /usr/share/fonts/truetype/ttf-sil-gentium/GenR102.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Italic.ttf
trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBI.ttf
trying fontname /home/michael/.fonts/Ubuntu-R.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-BoldItalic.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/courbd.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-Bold.ttf
trying fontname
/usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Italic.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Bold.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Courier_New.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/comicbd.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Arial.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/courbi.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/times.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/Verdana_Italic.ttf
trying fontname
/usr/share/fonts/truetype/ttf-liberation/LiberationSans-BoldItalic.ttf
trying fontname /usr/share/fonts/truetype/ttf-sil-gentium/GenAR102.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/couri.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/georgia.ttf
trying fontname /usr/share/fonts/truetype/msttcorefonts/trebuc.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans.ttf
trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraIt.ttf
trying fontname /usr/share/fonts/truetype/arphic/bsmi00lp.ttf
trying fontname /usr/share/fonts/truetype/freefont/FreeSansBold.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-BoldOblique.ttf
trying fontname /usr/share/fonts/truetype/freefont/FreeMonoBold.ttf
trying fontname /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Bold.ttf
trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMono.ttf
trying fontname
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-ExtraLight.ttf
trying fontname /usr/share/fonts/truetype/ttf-bitstream-vera/Vera.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmb10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmex10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniIta.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUni.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz5Sym.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmtt10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf
createFontDict:
/usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBolIta.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3SymBol.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz3Sym.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2Sym.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBol.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmr10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz2SymBol.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmsy10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmss10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1SymBol.ttf
createFontDict:
/usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralItalic.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4SymBol.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz4Sym.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXSiz1Sym.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/cmmi10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf
createFontDict:
/usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneralBolIta.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSans-Bold.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasI.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Times_New_Roman.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasR.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdanai.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSerif.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationMono-Bold.ttf
createFontDict: /usr/share/fonts/truetype/arphic/gbsn00lp.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmmi10.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasB.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBd.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Regular.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Georgia_Bold.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSerifBold.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationMono-Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-Bold.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgiab.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasI.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSansOblique.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Andale_Mono.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoBd.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Courier_New_Bold.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Georgia_Bold_Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraSeBd.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Oblique.ttf
createFontDict: /home/michael/.fonts/gbsn00lp.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold_Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/eufm10.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-BoldOblique.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSans-Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/wasy10.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Impact.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-BoldOblique.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Georgia.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Bold.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/msbm10.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/andalemo.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/arialbi.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Verdana.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-Bold.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-BoldItalic.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansCondensed-Oblique.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/cour.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenR102.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraBI.ttf
createFontDict: /home/michael/.fonts/Ubuntu-R.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-BoldItalic.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/courbd.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-Bold.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Italic.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSerif-Bold.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Courier_New.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/comicbd.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/courbi.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/times.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Verdana_Italic.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSans-BoldItalic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenAR102.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/couri.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgia.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebuc.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraIt.ttf
createFontDict: /usr/share/fonts/truetype/arphic/bsmi00lp.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSansBold.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-BoldOblique.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeMonoBold.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-Bold.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMono.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSans-ExtraLight.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/Vera.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdanaz.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgiai.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Comic_Sans_MS_Bold.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Georgia_Italic.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Courier_New_Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenI102.ttf
createFontDict: /home/michael/.fonts/gkai00mp.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-BoldItalic.ttf
createFontDict: /home/michael/.fonts/Ubuntu-B.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/esint10.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmsy10.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/ariblk.ttf
createFontDict: /usr/share/fonts/truetype/openoffice/opens___.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Verdana_Bold_Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasR.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed-Italic.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial_Black.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Webdings.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Verdana_Bold.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSansBoldOblique.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial_Italic.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeMonoBoldOblique.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSans.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasB.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmr10.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/ariali.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSerifBoldItalic.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebucbi.ttf
createFontDict: /home/michael/.fonts/Ubuntu-BI.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeMono.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/timesi.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoBI.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/georgiaz.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Courier_New_Bold_Italic.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/arialbd.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/timesbd.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Bold.ttf
createFontDict: /usr/share/fonts/truetype/ttf-dejavu/DejaVuSerif-Italic.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdana.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/arial.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeMonoOblique.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/comic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraSe.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/webdings.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium/GenAI102.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSansMono-Oblique.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Arial_Bold.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebucit.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationMono-Regular.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBkBasBI.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/timesbi.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/Comic_Sans_MS.ttf
createFontDict: /usr/share/fonts/truetype/ttf-bitstream-vera/VeraMoIt.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Arial_Bold_Italic.ttf
createFontDict: /usr/share/fonts/truetype/ttf-sil-gentium-basic/GenBasBI.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-dejavu/DejaVuSerifCondensed.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationMono-BoldItalic.ttf
createFontDict: /home/michael/.fonts/wqy-zenhei.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/impact.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/verdanab.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Trebuchet_MS_Bold_Italic.ttf
createFontDict: /usr/share/fonts/truetype/arphic/gkai00mp.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/msam10.ttf
createFontDict: /usr/share/fonts/truetype/msttcorefonts/trebucbd.ttf
createFontDict: /usr/share/fonts/truetype/freefont/FreeSerifItalic.ttf
createFontDict:
/usr/share/fonts/truetype/ttf-liberation/LiberationSans-Regular.ttf
createFontDict: /home/michael/.fonts/Ubuntu-I.ttf
createFontDict:
/usr/share/fonts/truetype/msttcorefonts/Times_New_Roman_Bold.ttf
createFontDict: /usr/share/fonts/truetype/ttf-lyx/cmex10.ttf
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvl8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pzcmi8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplb8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putbi8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvro8an.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkd8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncri8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrb8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvr8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putb8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncb8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrro8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmex10.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmtt10.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvr8an.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvro8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmr8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplbi8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmsy10.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagk8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrr8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmmi10.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagko8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkdi8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvbo8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/cmr10.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagdo8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmb8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvlo8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvb8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pzdr.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmri8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplr8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkl8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncbi8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/psyr.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putri8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pplri8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/ptmbi8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pbkli8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/putr8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pagd8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pncr8a.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvbo8an.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/phvb8an.afm
createFontDict: /usr/share/matplotlib/mpl-data/fonts/afm/pcrbo8a.afm
createFontDict: /home/michael/.fonts/kai26.afm
Traceback (most recent call last):
 File "/usr/bin/ipython", line 28, in <module>
   IPython.Shell.start().mainloop()
 File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1241, in start
   return shell(user_ns = user_ns)
 File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1106, in
__init__
   shell_class=MatplotlibShell)
 File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 73, in __init__
   debug=debug,shell_class=shell_class)
 File "/usr/lib/pymodules/python2.6/IPython/ipmaker.py", line 100, in
make_IPython
   embedded=embedded,**kw)
 File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 627, in __init__
   user_ns,user_global_ns,b2 =
self._matplotlib_config(name,user_ns,user_global_ns)
 File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 556, in
_matplotlib_config
   import matplotlib.pylab as pylab
 File "/usr/lib/pymodules/python2.6/matplotlib/pylab.py", line 206, in
<module>
   from matplotlib import mpl  # pulls in most modules
 File "/usr/lib/pymodules/python2.6/matplotlib/mpl.py", line 2, in <module>
   from matplotlib import axis
 File "/usr/lib/pymodules/python2.6/matplotlib/axis.py", line 10, in
<module>
   import matplotlib.font_manager as font_manager
 File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 1301,
in <module>
   _rebuild()
 File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 1292,
in _rebuild
   fontManager = FontManager()
 File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 1010,
in __init__
   self.afmlist = createFontList(self.afmfiles, fontext='afm')
 File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line 578,
in createFontList
   font = afm.AFM(fh)
 File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 303, in
__init__
   parse_afm(fh)
 File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 291, in
parse_afm
   dcmetrics_ascii, dcmetrics_name = _parse_char_metrics(fh)
 File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 176, in
_parse_char_metrics
   bbox = _to_list_of_floats(vals[3][2:])
 File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 58, in
_to_list_of_floats
   return [_to_float(val) for val in s.split()]
ValueError: invalid literal for float(): uni2605
=================================================================================================================================================
*The fpath value is *
/usr/share/matplotlib/mpl-data/fonts/afm/phvl8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pzcmi8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pplb8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/putbi8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvro8an.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pbkd8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pncri8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pcrb8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvr8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/putb8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pncb8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pcrro8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/cmex10.afm
/usr/share/matplotlib/mpl-data/fonts/afm/cmtt10.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvr8an.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvro8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/ptmr8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pplbi8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/cmsy10.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pagk8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pcrr8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/cmmi10.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pagko8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pbkdi8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvbo8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/cmr10.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pagdo8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/ptmb8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvlo8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvb8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pzdr.afm
/usr/share/matplotlib/mpl-data/fonts/afm/ptmri8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pplr8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pbkl8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pncbi8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/psyr.afm
/usr/share/matplotlib/mpl-data/fonts/afm/putri8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pplri8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/ptmbi8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pbkli8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/putr8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pagd8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pncr8a.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvbo8an.afm
/usr/share/matplotlib/mpl-data/fonts/afm/phvb8an.afm
/usr/share/matplotlib/mpl-data/fonts/afm/pcrbo8a.afm
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Hopefully, this info can help to pinpoint the difficult font file.

Thanks for your help!

Daoliang





On Fri, Nov 26, 2010 at 9:54 AM, Daoliang Tan <dao...@gm...>
wrote:
> Dear all,
>
> I am facing a weird problem when I import pylab or pyplot modules.
> Right now, I can successfully import matplotlib. But  after I issue
> the command "ipython -pylab --verbose-helpful", I get the following
> error:
>
=================================================================================================================================================
> $HOME=/home/michael
> CONFIGDIR=/home/michael/.matplotlib
> matplotlib data path /usr/share/matplotlib/mpl-data
> loaded rc file /etc/matplotlibrc
> matplotlib version 0.99.3
> verbose.level helpful
> interactive is False
> units is False
> platform is linux2
> font search path ['/usr/share/matplotlib/mpl-data/fonts/ttf',
> '/usr/share/matplotlib/mpl-data/fonts/afm']
> Traceback (most recent call last):
>  File "/usr/bin/ipython", line 28, in <module>
>    IPython.Shell.start().mainloop()
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1241, in start
>    return shell(user_ns = user_ns)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 1106, in
__init__
>    shell_class=MatplotlibShell)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 73, in
__init__
>    debug=debug,shell_class=shell_class)
>  File "/usr/lib/pymodules/python2.6/IPython/ipmaker.py", line 100, in
> make_IPython
>    embedded=embedded,**kw)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 627, in
__init__
>    user_ns,user_global_ns,b2 =
> self._matplotlib_config(name,user_ns,user_global_ns)
>  File "/usr/lib/pymodules/python2.6/IPython/Shell.py", line 556, in
> _matplotlib_config
>    import matplotlib.pylab as pylab
>  File "/usr/lib/pymodules/python2.6/matplotlib/pylab.py", line 206, in
<module>
>    from matplotlib import mpl  # pulls in most modules
>  File "/usr/lib/pymodules/python2.6/matplotlib/mpl.py", line 2, in
<module>
>    from matplotlib import axis
>  File "/usr/lib/pymodules/python2.6/matplotlib/axis.py", line 10, in
<module>
>    import matplotlib.font_manager as font_manager
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> 1301, in <module>
>    _rebuild()
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> 1292, in _rebuild
>    fontManager = FontManager()
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> 1010, in __init__
>    self.afmlist = createFontList(self.afmfiles, fontext='afm')
>  File "/usr/lib/pymodules/python2.6/matplotlib/font_manager.py", line
> 578, in createFontList
>    font = afm.AFM(fh)
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 303, in
__init__
>    parse_afm(fh)
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 291, in
parse_afm
>    dcmetrics_ascii, dcmetrics_name = _parse_char_metrics(fh)
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 176, in
> _parse_char_metrics
>    bbox = _to_list_of_floats(vals[3][2:])
>  File "/usr/lib/pymodules/python2.6/matplotlib/afm.py", line 58, in
> _to_list_of_floats
>    return [_to_float(val) for val in s.split()]
> ValueError: invalid literal for float(): uni2605
>
===========================================================================================================================================
>
> Each time, as long as I import pylab OR pyplot, I will obtain
> "ValueError: invalid literal for float(): uni2605". After googling a
> long time, I can not get an idea to address this issue. Can anyone
> give me some hints?
>
> My computer configuration is the following:
>
> 1. OS: debian squeeze Linux  2.6.32-5-amd64 #1 SMP Sat Oct 30 14:18:21
> UTC 2010 x86_64 GNU/Linux
> 2. matplotlib version:  0.99.3
> 3. The matplotlib is installed from the debian repository.
> 4. no any special customization of "matplotlibrc"
> 5. import pylab will produce this error.
> 6. python version: 2.6.6-3
>
>
> I have reinstalled these packages many times and this does not solve
> this issue.
>
> Thanks for your help!
>
> Daoliang
>

On Fri, Dec 3, 2010 at 8:34 PM, K. Larsen <kr...@gm...> wrote:

> The LTSpice circuit simulation program outputs a file that looks like this:
>
> Freq.   V(n003) V(n005) V(n007)
> 1.00000e+000    (-1.68072e+002dB,1.79085e+002°)
> (-1.71453e-006dB,-3.60000e-002°)    (-8.40364e+001dB,8.99964e+001°)
> 1.07177e+000    (-1.66868e+002dB,1.79145e+002°)
> (-1.96947e-006dB,-3.85838e-002°)    (-8.34343e+001dB,8.99961e+001°)
> 1.14870e+000    (-1.65664e+002dB,1.79202e+002°)
> (-2.26233e-006dB,-4.13531e-002°)    (-8.28323e+001dB,8.99959e+001°)
> ...
>
>

Complicated text file formats like this can be a mess to deal with.  One
trick I do to simplify the problem is to (if the files are not large) load
an entire file into a string and replace any un-needed characters with
whitespace.  So, replacing the '"', 'dB', '(', ')', and ',' with a space
would yield:

1.00000e+000    -1.68072e+002  1.79085e+002 -1.71453e-006  -3.60000e-002
-8.40364e+001  8.99964e+001
1.07177e+000    -1.66868e+002  1.79145e+002 -1.96947e-006 -3.85838e-002
-8.34343e+001  8.99961e+001
1.14870e+000    -1.65664e+002  1.79202e+002 -2.26233e-006 -4.13531e-002
-8.28323e+001  8.99959e+001

Which could be put into a StringIO object, and then fed into numpy.loadtxt()
function to get your numpy arrays.  Does that help?

Ben Root

The LTSpice circuit simulation program outputs a file that looks like this:

Freq.   V(n003) V(n005) V(n007)
1.00000e+000    (-1.68072e+002dB,1.79085e+002°)
(-1.71453e-006dB,-3.60000e-002°)    (-8.40364e+001dB,8.99964e+001°)
1.07177e+000    (-1.66868e+002dB,1.79145e+002°)
(-1.96947e-006dB,-3.85838e-002°)    (-8.34343e+001dB,8.99961e+001°)
1.14870e+000    (-1.65664e+002dB,1.79202e+002°)
(-2.26233e-006dB,-4.13531e-002°)    (-8.28323e+001dB,8.99959e+001°)
...

As can be seen there are 4 tab-delimited columns. The first column is
the dependent (horizontal) axis and represents Frequency.  The
following 3 columns each contain 2 comma-delimited data points
including their units. These are the magnitude expressed in decibels
and the phase expressed in degrees.

I'd like to be able to plot this file.  6 separate plots should
result, or 3 pairs of 2 waveforms that share the same plot yet have 2
different axes.  What is the best method to accomplish this?

-Kameron

On Fri, Dec 3, 2010 at 8:10 PM, C M <cmp...@gm...> wrote:

>
>
> Hello.  I've decided to upgrade to matplotlib 1.0, but I'll need to fix a
>> few problems that have come up.  I was hoping I could get some help on this
>> here.
>>
>
> Second problem:  the grid background is gone despite these lines are not
> throwing any errors (here, self.subplot is an axis):
>
>     self.subplot.grid(True)
>     self.subplot.grid(color='0.75', linestyle='dotted', linewidth=0.1)
>
> I searched the docs for grid and so far haven't found the change.  What is
> the right method now?
>

Ack, sorry for the noise.  That does work (and I don't need the first
line).  It is just that the lines are so fine/faint now that I couldn't see
them lines until I tilted the monitor and looked carefully.

I'm guessing the change was because previous to mpl 1.0 a linewidth of 0.1
was below some minimal value and was treated as though it were 1?  In any
case, using linewidth=1 looks reasonable for me now.

-cm

Hello.  I've decided to upgrade to matplotlib 1.0, but I'll need to fix a
> few problems that have come up.  I was hoping I could get some help on this
> here.
>

Second problem:  the grid background is gone despite these lines are not
throwing any errors (here, self.subplot is an axis):

    self.subplot.grid(True)
    self.subplot.grid(color='0.75', linestyle='dotted', linewidth=0.1)

I searched the docs for grid and so far haven't found the change.  What is
the right method now?

Thanks,
Che

2010/12/3 Justin McCann <jn...@gm...>:
> On Wed, Dec 1, 2010 at 11:58 AM, Justin McCann <jn...@gm...> wrote:
> This seems to do the trick, but might be a bit too clever. I'm not
> sure if get_children() (or findobjs) is the right call to retrieve all
> the plot elements.

If you are just looking for line2D instances then use ax.get_lines().

Goyo

On Thu, Dec 2, 2010 at 11:22 AM, Burak TUYSUZ <bur...@gm...> wrote:

> Hi all,
> I am plotting a 3d surface but at the axis scientific notation works
> but I can not see the exponential part at the end of the axis.
> I mean it does simplifies
>       9.9*e^5 15*e^5 ...
> to
>       9.9   15
> but there is no e^5 at the end of the axis that you need to multiply each
> value
> I am tired of manually adding that to the plots. How can I automatically
> add the divider to the top of each axis.
> Thank you in advance
> -Burak
>
> Here is the code
>
>
>       formatter = ScalarFormatter(useMathText=True, useOffset=True)
>       formatter.set_scientific(True)
>
>       fig = plt.figure(figsize=(21,9.5))
>       ax = fig.add_subplot(1,2,1, projection='3d', azim=180)
>       ax.set_xlabel('Doppler')
>       ax.set_ylabel('Delay')
>       ax.set_zlabel('')
>
>       ax.w_xaxis.set_major_formatter(formatter)
>       ax.w_yaxis.set_major_formatter(formatter)
>
>
Burak,

I can confirm your bug.  I have traced it down and it appears that printing
the offset text (the 'e^5') is not even implemented.  I will look into
seeing how to implement this in mplot3d.

Ben Root