matplotlib-users Mailing List for matplotlib

On 05/17/2011 01:53 AM, Joachim Saul wrote:
> All,
>
> I have stumbled upon a (for me) unexpected behaviour of axvspan().
>
>
> import matplotlib.pylab as plt
> from numpy import *
>
> x = arange(1000)
> y = 0.2*sin(0.02*x)
>
> ax = plt.axes()
> plt.axvspan(250, 400, facecolor='g', alpha=0.2)
> plt.plot(x,y)
> plt.show()
>
>
> The displayed y range is -0.2 to 1, while from the sine amplitude I
> would have expected -0.2 to 0.2. The expected y range can be obtained by
> omitting the axvspan() call and also if it is called *after* plot().
>
> Is this the desired behaviour, especially in view of the dependence on
> the call order?

No, it is a bug.

Eric

>
> __version__ is 1.1.0
>
> Cheers,
> Joachim
>
> ------------------------------------------------------------------------------
> Achieve unprecedented app performance and reliability
> What every C/C++ and Fortran developer should know.
> Learn how Intel has extended the reach of its next-generation tools
> to help boost performance applications - inlcuding clusters.
> http://p.sf.net/sfu/intel-dev2devmay
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On Tue, May 17, 2011 at 2:05 PM, Neal Becker <ndb...@gm...> wrote:
> I have an old fedora 11 system.  When I try to use latex math (e.g., $\mu=2$),
> it gives no error, but seems to produce gibberish (just ordinary ascii chars) in
> my pdf output.
>
> Any ideas how to debug?

Try using raw strings. If that doesn't work, try submitting a short example.

I have an old fedora 11 system.  When I try to use latex math (e.g., $\mu=2$), 
it gives no error, but seems to produce gibberish (just ordinary ascii chars) in 
my pdf output.

Any ideas how to debug?

I found that a trivial 'hello_world.tex' could run through pdflatex OK.

On Tue, May 17, 2011 at 7:08 AM, Neal Becker <ndb...@gm...> wrote:

> I have several line graphs on a single plot.  I'd like to indicate what is
> the
> mean of each of them (they are showing cumulative distributions).
>
> Each is a different color.
>
> I tried putting 'mean=xxx' into the legend.  That works, but I think it's
> confusing.  The legend normally displays independent variables, not
> results.
>
> I put vertical lines and then text, vertically, just below the x-axis
> giving the
> mean values.  Not very clear.
>
> This is not really a technical question, but one of presentation style.
>  How to
> convey this information?
>
>
>
While I realize that you are not asking for the technical question of "how
to do this", but rather "how to do this so that it looks right", I want to
add some links to some examples on how to technically do annotations in case
anyone stumbles across this question while searching.

http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo.html
http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo2.html
http://matplotlib.sourceforge.net/examples/pylab_examples/annotation_demo3.html

Ben Root

On Tue, May 17, 2011 at 2:58 AM, Johannes Radinger <JRa...@gm...> wrote:

>
> -------- Original-Nachricht --------
> > Datum: Mon, 16 May 2011 11:36:18 -0500
> > Von: Benjamin Root <ben...@ou...>
> > An: Johannes Radinger <JRa...@gm...>
> > CC: mat...@li...
> > Betreff: Re: [Matplotlib-users] use matplotlib to produce mathathematical
> expression only
>
> > On Mon, May 16, 2011 at 11:22 AM, Johannes Radinger
> > <JRa...@gm...>wrote:
> >
> > >
> > > -------- Original-Nachricht --------
> > > > Datum: Mon, 16 May 2011 10:59:34 -0500
> > > > Von: Benjamin Root <ben...@ou...>
> > > > An: Johannes Radinger <JRa...@gm...>
> > > > CC: mat...@li...
> > > > Betreff: Re: [Matplotlib-users] use matplotlib to produce
> > mathathematical
> > > expression only
> > >
> > > > On Mon, May 16, 2011 at 10:21 AM, Johannes Radinger
> > > > <JRa...@gm...>wrote:
> > > >
> > > > >
> > > > > -------- Original-Nachricht --------
> > > > > > Datum: Mon, 16 May 2011 09:49:24 -0500
> > > > > > Von: Benjamin Root <ben...@ou...>
> > > > > > An: "mat...@li..." <
> > > > > mat...@li...>
> > > > > > Betreff: Re: [Matplotlib-users] [SciPy-User] use matplotlib to
> > > produce
> > > > >      mathathematical expression only
> > > > >
> > > > > > On Monday, May 16, 2011, Johannes Radinger <JRa...@gm...>
> > wrote:
> > > > > > >
> > > > > > > -------- Original-Nachricht --------
> > > > > > >> Datum: Mon, 16 May 2011 08:28:49 -0500
> > > > > > >> Von: Robert Kern <rob...@gm...>
> > > > > > >> An: SciPy Users List <sci...@sc...>
> > > > > > >> CC: mat...@li...
> > > > > > >> Betreff: Re: [Matplotlib-users] [SciPy-User] use matplotlib to
> > > > produce
> > > > > >        mathathematical expression only
> > > > > > >
> > > > > > >> On Mon, May 16, 2011 at 08:21, Johannes Radinger <
> > > JRa...@gm...>
> > > > > > wrote:
> > > > > > >> > Hello,
> > > > > > >> >
> > > > > > >> > I want to produce a eps file of following mathematical
> > > > expression:
> > > > > > >> >
> > > > > > >>
> > > > > >
> > > > >
> > > >
> > >
> >
> r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$'
> > > > > > >> >
> > > > > > >> > is it possible to somehow missuse matplotlib for that to
> > produce
> > > > > only
> > > > > > >> the function without any other plot things? Or is there a
> > better
> > > > > python
> > > > > > >> library within scipy? I don't want to install the complete
> > latex
> > > > > > libraries just
> > > > > > >> for producing this single eps file.
> > > > > > >>
> > > > > > >> Check out mathtex. It is matplotlib's TeX parsing engine and
> > > > renderer
> > > > > > >> broken out into a separate library:
> > > > > > >>
> > > > > > >> http://code.google.com/p/mathtex/
> > > > > > >
> > > > > > > I also thought about mathtex but don't know how to use my
> > > > mathematical
> > > > > > expression without a plot of axis etc. any suggestions? I just
> > want
> > > to
> > > > > have
> > > > > > the formated math expression as eps and I don't know how to do
> it,
> > > > still
> > > > > > after reading in the matplotlib-manual.
> > > > > > >
> > > > > > > /johannes
> > > > > > >
> > > > > > >
> > > > > > >>
> > > > > > >> Also, please send matplotlib questions just to the matplotlib
> > > list.
> > > > > > >> Thanks.
> > > > > > >>
> > > > > > >> --
> > > > > > >> Robert Kern
> > > > > > >>
> > > > > > >> "I have come to believe that the whole world is an enigma, a
> > > > harmless
> > > > > > >> enigma that is made terrible by our own mad attempt to
> > interpret
> > > it
> > > > as
> > > > > > >> though it had an underlying truth."
> > > > > > >>   -- Umberto Eco
> > > > > > >>
> > > > > > >>
> > > > > >
> > > > >
> > > >
> > >
> >
> ------------------------------------------------------------------------------
> > > > > > >> Achieve unprecedented app performance and reliability
> > > > > > >> What every C/C++ and Fortran developer should know.
> > > > > > >> Learn how Intel has extended the reach of its next-generation
> > > tools
> > > > > > >> to help boost performance applications - inlcuding clusters.
> > > > > > >> http://p.sf.net/sfu/intel-dev2devmay
> > > > > > >> _______________________________________________
> > > > > > >> Matplotlib-users mailing list
> > > > > > >> Mat...@li...
> > > > > > >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> > > > > > >
> > > > > > > --
> > > > > > > NEU: FreePhone - kostenlos mobil telefonieren und surfen!
> > > > > > > Jetzt informieren: http://www.gmx.net/de/go/freephone
> > > > > > > _______________________________________________
> > > > > > > SciPy-User mailing list
> > > > > > > Sci...@sc...
> > > > > > > http://mail.scipy.org/mailman/listinfo/scipy-user
> > > > > > >
> > > > > >
> > > > > > We have added a new feature to do just that in the development
> > > branch,
> > > > > > but it should be fairly trivial to do with existing releases of
> > > > > > matplotlib.  Just create a figure object and use its figtitle to
> > hold
> > > > > > the expression and then save the figure.
> > > > >
> > > > > It might be trivial but how to remove the axis/plot then and crop
> > the
> > > > > extend of the eps?
> > > > >
> > > > > I tried:
> > > > >
> > > > > plt.figure()
> > > > >
> > > >
> > >
> >
> plt.title(r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$',
> > > > > fontsize=20)
> > > > > plt.show()
> > > > >
> > > > > /j
> > > > >
> > > > >
> > > > Use figtext instead.  I did the following and it looked fine to me:
> > > >
> > > > plt.figure()
> > > > plt.figtext(0.1, 0.5,
> > > >
> > >
> >
> r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$',
> > > > fontsize=20)
> > > > plt.show()
> > > >
> > >
> > >
> > > thats working nearly perfect, I would just need to crop the display
> > extend
> > > resp. the white space from the eps around...any option/idea?
> > >
> > >
> > > /j
> > >
> > >
> > Try setting bbox_inches='tight' in the call to savefig.  With
> > bbox_inches='tight', you can then specify the 'pad_inches' kwarg to
> > indicate
> > how much padding to put around the tight bounding box.  This should work,
> > however some older version of matplotlib might not check the figure text
> > objects for calculating the tightest bounding box.
>
> Hej,
>
> I tried your suggestion like:
> plt.figure()
> plt.figtext(0.01,
> 0.5,r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$',
> fontsize=26)
> #plt.show()
> plt.savefig("testplot.eps", bbox_inches='tight')
>
> but get following error:
>  plt.savefig("testplot.eps", bbox_inches='tight')
>  File
> "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/pyplot.py",
> line 363, in savefig
>    return fig.savefig(*args, **kwargs)
>  File
> "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/figure.py",
> line 1084, in savefig
>    self.canvas.print_figure(*args, **kwargs)
>  File
> "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/backend_bases.py",
> line 1891, in print_figure
>    bbox_inches = self.figure.get_tightbbox(renderer)
>  File
> "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/figure.py",
> line 1212, in get_tightbbox
>    _bbox = Bbox.union([b for b in bb if b.width!=0 or b.height!=0])
>  File
> "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/transforms.py",
> line 675, in union
>    assert(len(bboxes))
> AssertionError
>
>
> For your information:
> I work with python 2.6.6 and matplotlib 1.0.1 on Mac OS X 10.6.6
>
> /j
>
>
>
There have been some bugs fixed with bbox_inches='tight', but I couldn't
remember if they happened after or before the v1.0.1 release.  My guess is
that it happened after.

I am glad the other function worked for you.

Ben Root

---------- Forwarded message ----------
From: Scott Sinclair <sco...@gm...>
Date: 17 May 2011 14:52
Subject: Re: [Matplotlib-users] result in the graph
To: Waleria <wal...@gm...>


On 17 May 2011 14:35, Waleria <wal...@gm...> wrote:
> Hello all,
>
> I have this code: http://dpaste.com/543369/ (part that generates the chart)
> . So i need to show a result in the graph, i have the line 69 (variable
> x_sqr) in code, i need to show tthe result of variable in the graph. How can
> i do this?

How about:

import matplotlib.pyplot as plt

x_sqr = 42.42

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(range(5))
ax.text(3, 2, r'x$^2$ = %.2f' % x_sqr)
plt.show()

Cheers,
Scott

Where did you change in the code?

Waléria

On Tue, May 17, 2011 at 9:46 AM, Sathishkumar Duraisamy <
flo...@gm...> wrote:

> On Tue, May 17, 2011 at 6:05 PM, Waleria <wal...@gm...> wrote:
> > Hello all,
> >
> > I have this code: http://dpaste.com/543369/ (part that generates the
> chart)
> > . So i need to show a result in the graph, i have the line 69 (variable
> > x_sqr) in code, i need to show tthe result of variable in the graph. How
> can
> > i do this?
> may be useful http://dpaste.com/543378/
>
> >
> ------------------------------------------------------------------------------
> > Achieve unprecedented app performance and reliability
> > What every C/C++ and Fortran developer should know.
> > Learn how Intel has extended the reach of its next-generation tools
> > to help boost performance applications - inlcuding clusters.
> > http://p.sf.net/sfu/intel-dev2devmay
> > _______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
> >
>
>
>
> --
> Regards,
> Sathishkumar D
>

Hello all,

I have this code: http://dpaste.com/543369/ (part that generates the chart)
. So i need to show a result in the graph, i have the line 69 (variable
x_sqr) in code, i need to show tthe result of variable in the graph. How can
i do this?

Thank you
Waléria

I have several line graphs on a single plot.  I'd like to indicate what is the 
mean of each of them (they are showing cumulative distributions).

Each is a different color.

I tried putting 'mean=xxx' into the legend.  That works, but I think it's 
confusing.  The legend normally displays independent variables, not results.

I put vertical lines and then text, vertically, just below the x-axis giving the 
mean values.  Not very clear.

This is not really a technical question, but one of presentation style.  How to 
convey this information?

All,

I have stumbled upon a (for me) unexpected behaviour of axvspan().


import matplotlib.pylab as plt
from numpy import *

x = arange(1000)
y = 0.2*sin(0.02*x)

ax = plt.axes()
plt.axvspan(250, 400, facecolor='g', alpha=0.2)
plt.plot(x,y)
plt.show()


The displayed y range is -0.2 to 1, while from the sine amplitude I 
would have expected -0.2 to 0.2. The expected y range can be obtained by 
omitting the axvspan() call and also if it is called *after* plot().

Is this the desired behaviour, especially in view of the dependence on 
the call order?

__version__ is 1.1.0

Cheers,
Joachim

Attached is a modified version of Tony's script.

 * no drawing is necessary
 * support subplots that span multiple rows/columns

Please test it and let me know of any problem.

I'm planning to push these functionality into matplolib after some
refactoring (e.g., it would be good to have pyplot.tight_layout).

Regards,

-JJ

On Wed, May 11, 2011 at 8:50 PM, Daniel Mader
<dan...@go...> wrote:
> Hi again,
>
>>> Hi Jae-Loon,
>>>
>>> thanks for your comments! Of course I do agree that a figure layout
>>> should not change in interactive mode. However, I don't see why this
>>> should happen upon a panning action. A different case is when the
>>> label or title font sizes are changed, but I was assuming this is
>>> adjusted prior to the creation of the figure.
>>>
>>
>> Since you said the current design is broken, I thought you want things
>> adjusted *whenever* a figure is updated.
>>
>> So, I guess what you want is some functionality like what Tony's script does?
>> One of the reason that I was not very inclined to Tony's approach is
>> that it only works for subplots (and I guess it only works with
>> subplots with pure n x m grid. Correct me if I'm wrong). But maybe it
>> is better than nothing. I'll consider how things can be improved.
>
> I do sense a match of ideas here :) This is exactly what I am missing!
> It is very good to hear that you are so open to suggestions and
> possible improvements!
>
> It is a great pleasure to work with Scipy/Matplotlib and interact with
> the community!
>
> Best regards,
> Daniel
>

-------- Original-Nachricht --------
> Datum: Mon, 16 May 2011 11:36:18 -0500
> Von: Benjamin Root <ben...@ou...>
> An: Johannes Radinger <JRa...@gm...>
> CC: mat...@li...
> Betreff: Re: [Matplotlib-users] use matplotlib to produce mathathematical expression only

> On Mon, May 16, 2011 at 11:22 AM, Johannes Radinger
> <JRa...@gm...>wrote:
> 
> >
> > -------- Original-Nachricht --------
> > > Datum: Mon, 16 May 2011 10:59:34 -0500
> > > Von: Benjamin Root <ben...@ou...>
> > > An: Johannes Radinger <JRa...@gm...>
> > > CC: mat...@li...
> > > Betreff: Re: [Matplotlib-users] use matplotlib to produce
> mathathematical
> > expression only
> >
> > > On Mon, May 16, 2011 at 10:21 AM, Johannes Radinger
> > > <JRa...@gm...>wrote:
> > >
> > > >
> > > > -------- Original-Nachricht --------
> > > > > Datum: Mon, 16 May 2011 09:49:24 -0500
> > > > > Von: Benjamin Root <ben...@ou...>
> > > > > An: "mat...@li..." <
> > > > mat...@li...>
> > > > > Betreff: Re: [Matplotlib-users] [SciPy-User] use matplotlib to
> > produce
> > > >      mathathematical expression only
> > > >
> > > > > On Monday, May 16, 2011, Johannes Radinger <JRa...@gm...>
> wrote:
> > > > > >
> > > > > > -------- Original-Nachricht --------
> > > > > >> Datum: Mon, 16 May 2011 08:28:49 -0500
> > > > > >> Von: Robert Kern <rob...@gm...>
> > > > > >> An: SciPy Users List <sci...@sc...>
> > > > > >> CC: mat...@li...
> > > > > >> Betreff: Re: [Matplotlib-users] [SciPy-User] use matplotlib to
> > > produce
> > > > >        mathathematical expression only
> > > > > >
> > > > > >> On Mon, May 16, 2011 at 08:21, Johannes Radinger <
> > JRa...@gm...>
> > > > > wrote:
> > > > > >> > Hello,
> > > > > >> >
> > > > > >> > I want to produce a eps file of following mathematical
> > > expression:
> > > > > >> >
> > > > > >>
> > > > >
> > > >
> > >
> >
> r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$'
> > > > > >> >
> > > > > >> > is it possible to somehow missuse matplotlib for that to
> produce
> > > > only
> > > > > >> the function without any other plot things? Or is there a
> better
> > > > python
> > > > > >> library within scipy? I don't want to install the complete
> latex
> > > > > libraries just
> > > > > >> for producing this single eps file.
> > > > > >>
> > > > > >> Check out mathtex. It is matplotlib's TeX parsing engine and
> > > renderer
> > > > > >> broken out into a separate library:
> > > > > >>
> > > > > >> http://code.google.com/p/mathtex/
> > > > > >
> > > > > > I also thought about mathtex but don't know how to use my
> > > mathematical
> > > > > expression without a plot of axis etc. any suggestions? I just
> want
> > to
> > > > have
> > > > > the formated math expression as eps and I don't know how to do it,
> > > still
> > > > > after reading in the matplotlib-manual.
> > > > > >
> > > > > > /johannes
> > > > > >
> > > > > >
> > > > > >>
> > > > > >> Also, please send matplotlib questions just to the matplotlib
> > list.
> > > > > >> Thanks.
> > > > > >>
> > > > > >> --
> > > > > >> Robert Kern
> > > > > >>
> > > > > >> "I have come to believe that the whole world is an enigma, a
> > > harmless
> > > > > >> enigma that is made terrible by our own mad attempt to
> interpret
> > it
> > > as
> > > > > >> though it had an underlying truth."
> > > > > >>   -- Umberto Eco
> > > > > >>
> > > > > >>
> > > > >
> > > >
> > >
> >
> ------------------------------------------------------------------------------
> > > > > >> Achieve unprecedented app performance and reliability
> > > > > >> What every C/C++ and Fortran developer should know.
> > > > > >> Learn how Intel has extended the reach of its next-generation
> > tools
> > > > > >> to help boost performance applications - inlcuding clusters.
> > > > > >> http://p.sf.net/sfu/intel-dev2devmay
> > > > > >> _______________________________________________
> > > > > >> Matplotlib-users mailing list
> > > > > >> Mat...@li...
> > > > > >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> > > > > >
> > > > > > --
> > > > > > NEU: FreePhone - kostenlos mobil telefonieren und surfen!
> > > > > > Jetzt informieren: http://www.gmx.net/de/go/freephone
> > > > > > _______________________________________________
> > > > > > SciPy-User mailing list
> > > > > > Sci...@sc...
> > > > > > http://mail.scipy.org/mailman/listinfo/scipy-user
> > > > > >
> > > > >
> > > > > We have added a new feature to do just that in the development
> > branch,
> > > > > but it should be fairly trivial to do with existing releases of
> > > > > matplotlib.  Just create a figure object and use its figtitle to
> hold
> > > > > the expression and then save the figure.
> > > >
> > > > It might be trivial but how to remove the axis/plot then and crop
> the
> > > > extend of the eps?
> > > >
> > > > I tried:
> > > >
> > > > plt.figure()
> > > >
> > >
> >
> plt.title(r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$',
> > > > fontsize=20)
> > > > plt.show()
> > > >
> > > > /j
> > > >
> > > >
> > > Use figtext instead.  I did the following and it looked fine to me:
> > >
> > > plt.figure()
> > > plt.figtext(0.1, 0.5,
> > >
> >
> r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$',
> > > fontsize=20)
> > > plt.show()
> > >
> >
> >
> > thats working nearly perfect, I would just need to crop the display
> extend
> > resp. the white space from the eps around...any option/idea?
> >
> >
> > /j
> >
> >
> Try setting bbox_inches='tight' in the call to savefig.  With
> bbox_inches='tight', you can then specify the 'pad_inches' kwarg to
> indicate
> how much padding to put around the tight bounding box.  This should work,
> however some older version of matplotlib might not check the figure text
> objects for calculating the tightest bounding box.  

Hej,

I tried your suggestion like:
plt.figure()
plt.figtext(0.01, 0.5,r'$F(x)=p*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}+(1-p)*\frac{1}{s1\sqrt{2\pi}}*e^{-\frac{1}{2}*(\frac{x-m}{s1})}$', fontsize=26)
#plt.show()
plt.savefig("testplot.eps", bbox_inches='tight')

but get following error:
  plt.savefig("testplot.eps", bbox_inches='tight')
  File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/pyplot.py", line 363, in savefig
    return fig.savefig(*args, **kwargs)
  File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/figure.py", line 1084, in savefig
    self.canvas.print_figure(*args, **kwargs)
  File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/backend_bases.py", line 1891, in print_figure
    bbox_inches = self.figure.get_tightbbox(renderer)
  File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/figure.py", line 1212, in get_tightbbox
    _bbox = Bbox.union([b for b in bb if b.width!=0 or b.height!=0])
  File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/transforms.py", line 675, in union
    assert(len(bboxes))
AssertionError


For your information:
I work with python 2.6.6 and matplotlib 1.0.1 on Mac OS X 10.6.6

/j




In that case, the way
> that I typically autocrop my eps files is to convert it into a pdf file
> and
> use pdfcrop and then convert it back to eps (assuming you have a standard
> linux install).  Here is the chain of commands I typically use on my
> Fedora
> machine:
> 
> epstopdf mathtext.eps --outfile=mathtext.temp.pdf
> pdfcrop --margins '15 2 15 2' --clip mathtext.temp.pdf
> mathtext.cropped.pdf
> pdftops mathtext.cropped.pdf mathtext.cropped.eps
> 
> You can adjust margins to your tastes, and the names of the files are
> fairly
> arbitrary.
> 
> I hope that helps!
> Ben Root

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