matplotlib-users Mailing List for matplotlib (Page 7)

On 11/13/11 12:40 PM, Gökhan Sever wrote:
> Hello groups,
>
> I have two questions about working with MODIS data.
>
> 1-) Is there any light Pythonic HDF-EOS wrapper to handle HDF-EOS data 
> other than PyNIO [http://www.pyngl.ucar.edu/Nio.shtml] Although, I 
> have managed to install that package from its source, it took me many 
> hours to figure out all the installation quirks. Something simpler to 
> build and mainly for HDFEOS data??
Gökhan: netcdf4-python can read hdf5-eos files, and even hdf4-eos files 
if the netcdf C lib is built with hdf4 support.
-Jeff
>
> 2-) Another similar question: Has anybody attempted to create 
> true-color MODIS images (like the ones shown at 
> [http://rapidfire.sci.gsfc.nasa.gov/realtime/]) in Python? So far, I 
> have seen one clear tutorial 
> [ftp://ftp.ssec.wisc.edu/pub/IMAPP/MODIS/TrueColor/] to create natural 
> color images, but uses ms2gt [http://nsidc.org/data/modis/ms2gt/], 
> NDVI and IDL. Except the reflectance correction via NDVI, ms2gt and 
> IDL parts seem to be implemented in Python.
>
> Till now, I have some progress combining GOES imagery with aircraft 
> data. My next task is to combine MODIS data with aircraft and radar 
> data. I would be happy to get some guidance and code support if there 
> is any previous work been done using Python.
>
> Thanks.
>
>
> ------------------------------------------------------------------------------
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Hello groups,
I have two questions about working with MODIS data.
1-) Is there any light Pythonic HDF-EOS wrapper to handle HDF-EOS data
other than PyNIO [http://www.pyngl.ucar.edu/Nio.shtml] Although, I have
managed to install that package from its source, it took me many hours to
figure out all the installation quirks. Something simpler to build and
mainly for HDFEOS data??
2-) Another similar question: Has anybody attempted to create true-color
MODIS images (like the ones shown at [
http://rapidfire.sci.gsfc.nasa.gov/realtime/]) in Python? So far, I have
seen one clear tutorial [ftp://ftp.ssec.wisc.edu/pub/IMAPP/MODIS/TrueColor/]
to create natural color images, but uses ms2gt [
http://nsidc.org/data/modis/ms2gt/], NDVI and IDL. Except the reflectance
correction via NDVI, ms2gt and IDL parts seem to be implemented in Python.
Till now, I have some progress combining GOES imagery with aircraft data.
My next task is to combine MODIS data with aircraft and radar data. I would
be happy to get some guidance and code support if there is any previous
work been done using Python.
Thanks.

Greetings.
I am interested in accessing Triangulation objections that are created by
MPL for tricontour-type plots. The docs for MPL routines that use
triangulation objects refer to documentation, but none exists in the MPL
online docs. Does anyone have docs/info on using these objects? Having
access to them would be great.
-dw

Sorry for the very slow reponse time; it's a busy time of the year.
 Anyway, I've narrowed the problem quite a bit.
Here is the kind of situation that causes the issue:
import matplotlib.pyplot as plt
plt.ion()
f1=plt.figure()
a1=f1.add_subplot(111)
f2=plt.figure()
a2=f2.add_subplot(111)
a1.plot([0,1])
a2.plot([0,1])
plt.draw()
Here, f2 is drawn but f1 only draws the axis object without the line; you
must do something else to trigger f1 to draw (e.g. use one of the gui
features or make it the current axis, then draw.) The key to recreating
this issue is to make the plots in "parallel", that is, make one fig, make
another, make one ax, make the other, plot one line, plot the other, etc.
This will narrow it down further: I can only recreate this issue on my OS X
system; my Ubuntu box does not have this issue. Here's as much info as I
can drum up now; let me know what else would be helpful.
OS X 10.6.8, Python 2.6.7 (r267:88850, Oct 17 2011, 15:53:34); IPython
0.10.1 (all installed through MacPorts.) MPL 1.1.0 obtained from the MPL
website and installed manually (e.g. not through macports); TkAgg backend.
 Because it's a macports install, it should be a mac Framework install of
python.
Again, this problem did not manifest until MPL 1.1.0.
Thanks for your help.
-dw
On Sun, Oct 30, 2011 at 10:06 AM, John Hunter <jd...@gm...> wrote:
> .draw()
>
> On Sun, Oct 30, 2011 at 10:51 AM, Daniel Welling <dan...@gm...>
> wrote:
> > Greetings, MatPlotLibbers.
> >
> > Since 1.1, pyplot.draw() in interactive mode only updates the current
> axis.
> > If I want to update many axes, I need to use sca() and draw() for each
> one.
> > Is there a way to update all axes?
>
> I'm not seeing this, and I'm not sure *why* it would be occurring for
> you. plt.draw triggers a call to fig.canvas.draw which calls draw on
> all axes. Here is some example code in ipython, which has 'ion".
>
> In [2]: fig, axes = plt.subplots(2)
>
> In [3]: axes[0].plot([1,2,3])
> Out[3]: [<matplotlib.lines.Line2D at 0x4b90550>]
>
> In [4]: axes[1].plot([1,2,3])
> Out[4]: [<matplotlib.lines.Line2D at 0x4b90610>]
>
> In [5]: plt.draw()
>
>
> The call to 'plt.draw' on line 5 triggers a draw to both axes. Can
> you provide an example which exposes your problem? Please also
> provide backend and OS information
>
> In [6]: !uname -a
> Linux pinchiepie 3.0.0-12-generic #20-Ubuntu SMP Fri Oct 7 14:56:25
> UTC 2011 x86_64 x86_64 x86_64 GNU/Linux
>
> In [7]: import matplotlib; print matplotlib.__version__
> 1.2.x
>
> In [8]: matplotlib.rcParams['backend']
> Out[8]: 'WXAgg'
>
>
> JDH
>

Oops; my sentence should have read "is *not* derived from an artist".
On Sun, Nov 13, 2011 at 1:24 PM, Benjamin Root <ben...@ou...> wrote:
>
>
> On Sunday, November 13, 2011, Daniel Hyams <dh...@gm...> wrote:
>> This looks like a bug in matplotlib to me; I get the same thing.
>>
>> The basic issue is that QuadContourSet is derived from an artist, and
>> so does not have all of the artist methods; the animation framework
>> depends on the things that it is animating being artists.
>>
>> The following monkey patch fixes it in the example script (obviously,
>> it does not fix the underlying problem; for QuadContourSet to be
>> usable in this context, it needs to obey the artist interface).
>> Hopefully, it will be enough to get you up and running. Just add the
>> four lines between contour call and the appending of the output of
>> contour() into the list "ims", and also put an "import types" at the
>> top.
>>
>>
>> #!/usr/bin/env python
>> """
>> An animated image
>> """
>> import numpy as np
>> import matplotlib.pyplot as plt
>> import matplotlib.animation as animation
>> import types
>> fig = plt.figure()
>> def f(x, y):
>>   return np.sin(x) + np.cos(y)
>> x = np.linspace(0, 2 * np.pi, 120)
>> y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)
>> # ims is a list of lists, each row is a list of artists to draw in the
>> # current frame; here we are just animating one artist, the image, in
>> # each frame
>> ims = []
>> for i in range(60):
>>   x += np.pi / 15.
>>   y += np.pi / 20.
>>   im = plt.contour(f(x, y))
>>   def setvisible(self,vis):
>>    for c in self.collections: c.set_visible(vis)
>>   im.set_visible = types.MethodType(setvisible,im,None)
>>   im.axes = plt.gca()
>>   ims.append([im])
>> ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,
>>   repeat_delay=1000)
>> ani.save('dynamic_images.mp4')
>>
>> plt.show()
>>
>
> Technically speaking, it is derived from ScalarMappable, not Artist. It is
> counter-intuitive, though.
>
> Ben Root
-- 
Daniel Hyams
dh...@gm...

On Sunday, November 13, 2011, Daniel Hyams <dh...@gm...> wrote:
> This looks like a bug in matplotlib to me; I get the same thing.
>
> The basic issue is that QuadContourSet is derived from an artist, and
> so does not have all of the artist methods; the animation framework
> depends on the things that it is animating being artists.
>
> The following monkey patch fixes it in the example script (obviously,
> it does not fix the underlying problem; for QuadContourSet to be
> usable in this context, it needs to obey the artist interface).
> Hopefully, it will be enough to get you up and running. Just add the
> four lines between contour call and the appending of the output of
> contour() into the list "ims", and also put an "import types" at the
> top.
>
>
> #!/usr/bin/env python
> """
> An animated image
> """
> import numpy as np
> import matplotlib.pyplot as plt
> import matplotlib.animation as animation
> import types
> fig = plt.figure()
> def f(x, y):
> return np.sin(x) + np.cos(y)
> x = np.linspace(0, 2 * np.pi, 120)
> y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)
> # ims is a list of lists, each row is a list of artists to draw in the
> # current frame; here we are just animating one artist, the image, in
> # each frame
> ims = []
> for i in range(60):
> x += np.pi / 15.
> y += np.pi / 20.
> im = plt.contour(f(x, y))
> def setvisible(self,vis):
> for c in self.collections: c.set_visible(vis)
> im.set_visible = types.MethodType(setvisible,im,None)
> im.axes = plt.gca()
> ims.append([im])
> ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,
> repeat_delay=1000)
> ani.save('dynamic_images.mp4')
>
> plt.show()
>
Technically speaking, it is derived from ScalarMappable, not Artist. It is
counter-intuitive, though.
Ben Root

This looks like a bug in matplotlib to me; I get the same thing.
The basic issue is that QuadContourSet is derived from an artist, and
so does not have all of the artist methods; the animation framework
depends on the things that it is animating being artists.
The following monkey patch fixes it in the example script (obviously,
it does not fix the underlying problem; for QuadContourSet to be
usable in this context, it needs to obey the artist interface).
Hopefully, it will be enough to get you up and running. Just add the
four lines between contour call and the appending of the output of
contour() into the list "ims", and also put an "import types" at the
top.
#!/usr/bin/env python
"""
An animated image
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import types
fig = plt.figure()
def f(x, y):
  return np.sin(x) + np.cos(y)
x = np.linspace(0, 2 * np.pi, 120)
y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)
# ims is a list of lists, each row is a list of artists to draw in the
# current frame; here we are just animating one artist, the image, in
# each frame
ims = []
for i in range(60):
  x += np.pi / 15.
  y += np.pi / 20.
  im = plt.contour(f(x, y))
  def setvisible(self,vis):
    for c in self.collections: c.set_visible(vis)
  im.set_visible = types.MethodType(setvisible,im,None)
  im.axes = plt.gca()
  ims.append([im])
ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,
  repeat_delay=1000)
ani.save('dynamic_images.mp4')
plt.show()

On 11/13/2011 8:38 AM, Rahul Mahajan wrote:
> Hi,
>
> Is there such a thing "Python / Matplotlib Central Exchange" similar to
> the "File Exchange on Matlab Central" (
> http://www.mathworks.com/matlabcentral/fileexchange/ ) that anyone is
> aware of which allows one to search for user-contributed functions /
> packages.
>
> Many Thanks!
>
>
http://scipy-central.org/
"A collection of code snippets, modules and links for solving scientific 
problems with SciPy and related Python tools."
Christoph

In my last post I said that upgrading Numpy to 1.6.1 restored function
to Matplotlib 1.1.0. Well, I spoke a bit too soon. Static contour
plots appear to work fine, but they don't play nicely with the new
animation methods.
This animation example runs without errors.
http://matplotlib.sourceforge.net/examples/animation/dynamic_image2.html
But change line 23 from this:
 im = plt.imshow(f(x, y))
to this:
 im = plt.contour(f(x, y))
and you get this:
Traceback (most recent call last):
 File "dynamic_image2.py", line 27, in <module>
 repeat_delay=1000)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/animation.py",
line 358, in __init__
 TimedAnimation.__init__(self, fig, *args, **kwargs)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/animation.py",
line 306, in __init__
 Animation.__init__(self, fig, event_source=event_source, *args,
**kwargs)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/animation.py",
line 55, in __init__
 self._init_draw()
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/animation.py",
line 365, in _init_draw
 artist.set_visible(False)
AttributeError: QuadContourSet instance has no attribute 'set_visible'
Is this a Matplotlib bug, or am I still tracking down some package
dependency issue?

Hi,
Is there such a thing "Python / Matplotlib Central Exchange" similar to the
"File Exchange on Matlab Central" (
http://www.mathworks.com/matlabcentral/fileexchange/ ) that anyone is
aware of which allows one to search for user-contributed functions /
packages.
Many Thanks!

Just to follow up:
I can now report that removing numpy 1.3.0 and installing 1.6.1
corrected the problems with image and contour plots in my configuration.
Thanks to everyone for their input. 

Hi Ben and John,
> The doc page is wrong. There was suspicions of this recently with
> nextafter(), but no one knew when it was introduced in numpy. Now we know
> and I will update the page accordingly.
I ran into the same problem recently and discovered that nextafter() was introduced in numpy 1.4.0.
L.

I meant to send this to the list yesterday, but I just noticed I sent it
only to Ben. For completeness, here it is...
---------- Forwarded message ----------
From: Warren Weckesser <war...@en...>
Date: Sat, Nov 12, 2011 at 8:45 PM
Subject: Re: [Matplotlib-users] Upgraded to 1.1.0, now only line graphs
work!
To: Benjamin Root <ben...@ou...>
On Sat, Nov 12, 2011 at 8:03 PM, Benjamin Root <ben...@ou...> wrote:
>
>
> On Saturday, November 12, 2011, John Ladasky <joh...@sb...>
> wrote:
> > Two days ago I posted some questions about upgrading, and was pointed to
> > the right resources by some readers who replied to me privately
> > (thanks!). I am running Python 2.6 on an Ubuntu Linux 10.10 platform.
> > The upgrade appeared to build successfully, but I still have problems.
> >
> > Line graphs appear to be working all right, but images and contour
> > graphs generate errors, and fail to draw.
> >
> >
> > My procedure:
> >
> > I deleted every last old matplotlib-related file from my hard disk,from
> > both my Python dist-packages directory and from my home directory. I
> > got my build dependencies up to date, and installed using git as
> > described here:
> >
> >
> http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-git
> >
> >
> > The three-line simple_plot.py script suggested here...
> >
> > http://matplotlib.sourceforge.net/faq/installing_faq.html
> >
> > ...runs, displays a line graph, and outputs the following when run with
> > the flag --verbose-helpful:
> >
> > 17:26:42 -> python simple_plot.py --verbose-helpful
> > $HOME=/home/john
> > CONFIGDIR=/home/john/.matplotlib
> > matplotlib data
> > path /usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data
> > loaded rc
> > file
> /usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data/matplotlibrc
> > matplotlib version 1.2.x
> > verbose.level helpful
> > interactive is False
> > platform is linux2
> > Using fontManager instance from /home/john/.matplotlib/fontList.cache
> > backend GTKAgg version 2.21.0
> > findfont:
> > Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
> to Bitstream Vera Sans
> (/usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.000000
> >
> >
> > Now, here's a very simple script of mine, which should draw a figure
> > with a colored bulls-eye:
> >
> > from numpy import exp, fromfunction, hypot
> > import matplotlib.pyplot as plt
> >
> > def func(x, y):
> > return exp(-hypot(x-50,y-50) / 20)
> >
> > fig = plt.figure()
> > ax = plt.subplot(111)
> > arr = fromfunction(func, (101,101))
> > img = plt.imshow(arr)
> > plt.show()
> >
> >
> > Instead, it draws an empty figure, and returns a long and
> > apparently-repeated traceback, which I hesitate to post in its entirety.
> > Here's the last repeat. I believe that I got this eight times in a row:
> >
> > Traceback (most recent call last):
> > File
> >
> "/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_gtk.py",
> line 418, in expose_event
> > self._render_figure(self._pixmap, w, h)
> > File
> >
> "/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_gtkagg.py",
> line 75, in _render_figure
> > FigureCanvasAgg.draw(self)
> > File
> >
> "/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_agg.py",
> line 400, in draw
> > self.figure.draw(self.renderer)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
> > line 55, in draw_wrapper
> > draw(artist, renderer, *args, **kwargs)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/figure.py",
> > line 886, in draw
> > func(*args)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
> > line 55, in draw_wrapper
> > draw(artist, renderer, *args, **kwargs)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/axes.py", line
> > 1983, in draw
> > a.draw(renderer)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
> > line 55, in draw_wrapper
> > draw(artist, renderer, *args, **kwargs)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
> > line 356, in draw
> > im = self.make_image(renderer.get_image_magnification())
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
> > line 576, in make_image
> > transformed_viewLim)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
> > line 202, in _get_unsampled_image
> > x = self.to_rgba(self._A, bytes=True)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/cm.py", line
> > 215, in to_rgba
> > x = self.cmap(x, alpha=alpha, bytes=bytes)
> > File "/usr/local/lib/python2.6/dist-packages/matplotlib/colors.py",
> > line 521, in __call__
> > cbook._putmask(xa, xa==1.0, np.nextafter(xa.dtype.type(1),
> > AttributeError: 'module' object has no attribute 'nextafter'
> >
> >
> > Programs which invoke contour() instead of imshow() fail similarly. I
> > downloaded the 1.1.0 animation examples (my whole reason for upgrading
> > was to use the new animation methods), and only the line-graph examples
> > work.
> >
> >
> > As suggested (on a page I can't quite track down now), I captured a log
> > of the build and install commands. The words "error" or "warning" do
> > not show up in either of those logs -- and I did get several warnings
> > when building 0.99 and 1.0.1, so I feel like things ought to be working
> > better this time, not worse...
> >
> > Thanks for any hints!
> >
> >
>
> Looks like mpl truly can't be used with older version of numpy. Which
> version are you using?
>
>
The version of numpy in Ubuntu 10.10 is 1.3, but the 'nextafter' function
was added to numpy in version 1.4.
This page:
 http://matplotlib.sourceforge.net/users/installing.html
says "matplotlib requires numpy version 1.1 or later", so either that page
is incorrect, or a newer feature of numpy has been used in the matplotlib
code unintentionally.
Warren
 Ben Root
>
>
>
> ------------------------------------------------------------------------------
> RSA(R) Conference 2012
> Save 700ドル by Nov 18
> Register now
> http://p.sf.net/sfu/rsa-sfdev2dev1
> _______________________________________________
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>
>

2011年11月7日 Anton Daitche <a.d...@go...>:
> Do you remember the name of the thread? I would like to understand the
> details on this.
I can't find it right now but I guess Michael's answer helps you.
> I also would like to find out if i can force the renderer to do exact
> drawing (at some computational cost).
Do you mean using an interactive backend? You can try gtkcairo and wx.
I think they have their own issues though.
Goyo

Hi everyone,
can someone please help me how to make a plot like this:
http://tutorial.math.lamar.edu/Classes/DE/PhasePlane_files/image002.gif
The main issue with it is in the (black) trajectories. As far as i know
there is no function in matplotlib to plot trajectories with arrows
pointing in a direction.
But I think a good workaround is: plotting the trajectories with plot(..)
and use quiver(..) at certain points to get an arrows.
A minimal example would be:
import matplotlib.pyplot as plt
import numpy as np
import scipy.integrate as integrate
if __name__=="__main__":
 t = np.linspace(0, 20, 1000)
 l = 3
 # some starting points
 X0s = [[-3.0, 0],
 [-3.0, -1],
 [-3.0, -2],
 [-2, -3.0],
 [-1, -3.0],
 [0, -3.0],
 [1, -3.0],
 [2, -3.0],
 [3.0, -2],
 [3.0, -1],
 [3.0, 0.0],
 [3.0, 1],
 [3.0, 2],
 [2, 3.0],
 [1, 3.0],
 [0, 3.0],
 [-1, 3.0],
 [-2, 3.0],
 [-3.0, 2],
 [-3.0, 1],
 [0, 0.01],
 [0, -0.01],
 [0.01, 0],
 [-0.01, 0]]
 sattel = lambda x,t=0: [-x[0], x[1]]
 plt.axis([-l,l,-l,l])
 for X0 in X0s:
 state = integrate.odeint(sattel, X0, t).T
 plt.plot(*state, color="k", linewidth=1)
 xs = state[:,::10]
 x_ds = np.asarray(sattel(xs))
 M = np.hypot(x_ds[0],x_ds[1])
 plt.quiver(xs[0],xs[1],x_ds[0]/M,x_ds[1]/M,
pivot="mid")#,scale=100, scale_units="width",linewidth=5)
 plt.axis([-l,l,-l,l])
 plt.show()
That is pretty much what I was looking for except the shafts of the arrows
that I can't get rid off.
You can see what I tried to get this done by uncomment the quiver parameter.
Doing this, you can see, the shafts are (nearly) gone, but the arrows look
horrible. I wonder if there is anyway to tell quiver(..) to only plot the
heads of the arrow, without the shaft.
Can you please give me a hint how to do this?
Thank you,
 Andy
Matplotlib version: 1.0.1
Installed as: Ubuntu package
OS: Ubuntu 11.10

2011年11月12日 Friedrich Romstedt <fri...@gm...>:
> This is my summary of what I found out.
Some small follow-up regarding what might trigger the bug:
http://comments.gmane.org/gmane.comp.python.matplotlib.general/1115 is
a report by Chris Barker indicating as a side-effect that
NISC18030.ttf was present even in 2005. It "could not be loaded" that
time. I.e. it didn't cause a Bus error. That it was attempted to be
loaded indicates that the fontcache was to be rebuilt that time, so
the file must be present.
http://code.google.com/p/anki/issues/detail?id=560 indicates that, in
2008, on a 10.5 OS X the file could "not be loaded" too. Again, just
the attempt implies that the fontcache was rebuilt. So the file must
be present, except if the font_manager.py logic of early 2009 is the
result of a dramatic change since then.
It appears very probable that the Bus error is not triggered on 10.5,
but only on 10.6, when building with MACOSX_DEPLOYMENT_TARGET=10.5.
It remains unclear starting from which patch version of 10.6 it
appears, and also if it is a gcc-4.2 only issue. In the case it is
gcc-4.2 related, it would explain the rarity, because gcc-4.2 was
introduced in 10.6, so who would build with 10.5 deployment target?
If 10.5 is targeted, you mostly need to use gcc-4.0 anyway. (This is
something I overlooked myself for my own decision until now.)
Friedrich

On Saturday, November 12, 2011, John Ladasky <joh...@sb...>
wrote:
> On Sat, 2011年11月12日 at 20:08 -0600, Warren Weckesser wrote:
>
>> By any chance do you have a file called 'numpy.py' in the directory
>> where you ran this? If so, rename that file and try again.
>
> Hi, Warren,
>
> No, there is no file named "numpy.py" in the directory with my test
> programs, or anywhere on my file system, for that matter.
>
>
>
> And here's a question that I've received off the list-serv, which the
> author CC'ed to the list and thus should appear here soon:
>
> On Sat, 2011年11月12日 at 20:03 -0600, Benjamin Root wrote:
>
>> Looks like mpl truly can't be used with older version of numpy. Which
> version are you using?
>>
>> Ben Root
>
> Hi Ben,
>
> Well, you made me look. My numpy version is a few revisions behind. I
> have 1.3.0, and they're up to 1.6.1, which I just downloaded. Still,
> this page...
>
> http://matplotlib.sourceforge.net/users/installing.html#build-requirements
>
> ...says that numpy 1.1 or later should work.
>
>
>
> Thanks to you both for your suggestions, I hope to figure this out.
>
>
The doc page is wrong. There was suspicions of this recently with
nextafter(), but no one knew when it was introduced in numpy. Now we know
and I will update the page accordingly.
Ben Root

On Sat, 2011年11月12日 at 20:08 -0600, Warren Weckesser wrote:
> By any chance do you have a file called 'numpy.py' in the directory
> where you ran this? If so, rename that file and try again.
 
Hi, Warren, 
No, there is no file named "numpy.py" in the directory with my test
programs, or anywhere on my file system, for that matter.
And here's a question that I've received off the list-serv, which the
author CC'ed to the list and thus should appear here soon:
On Sat, 2011年11月12日 at 20:03 -0600, Benjamin Root wrote:
> Looks like mpl truly can't be used with older version of numpy. Which
version are you using?
> 
> Ben Root
Hi Ben,
Well, you made me look. My numpy version is a few revisions behind. I
have 1.3.0, and they're up to 1.6.1, which I just downloaded. Still,
this page...
http://matplotlib.sourceforge.net/users/installing.html#build-requirements
...says that numpy 1.1 or later should work.
Thanks to you both for your suggestions, I hope to figure this out.

On Saturday, November 12, 2011, John Ladasky <joh...@sb...>
wrote:
> Two days ago I posted some questions about upgrading, and was pointed to
> the right resources by some readers who replied to me privately
> (thanks!). I am running Python 2.6 on an Ubuntu Linux 10.10 platform.
> The upgrade appeared to build successfully, but I still have problems.
>
> Line graphs appear to be working all right, but images and contour
> graphs generate errors, and fail to draw.
>
>
> My procedure:
>
> I deleted every last old matplotlib-related file from my hard disk,from
> both my Python dist-packages directory and from my home directory. I
> got my build dependencies up to date, and installed using git as
> described here:
>
> http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-git
>
>
> The three-line simple_plot.py script suggested here...
>
> http://matplotlib.sourceforge.net/faq/installing_faq.html
>
> ...runs, displays a line graph, and outputs the following when run with
> the flag --verbose-helpful:
>
> 17:26:42 -> python simple_plot.py --verbose-helpful
> $HOME=/home/john
> CONFIGDIR=/home/john/.matplotlib
> matplotlib data
> path /usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data
> loaded rc
> file
/usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data/matplotlibrc
> matplotlib version 1.2.x
> verbose.level helpful
> interactive is False
> platform is linux2
> Using fontManager instance from /home/john/.matplotlib/fontList.cache
> backend GTKAgg version 2.21.0
> findfont:
> Matching
:family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
to Bitstream Vera Sans
(/usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
with score of 0.000000
>
>
> Now, here's a very simple script of mine, which should draw a figure
> with a colored bulls-eye:
>
> from numpy import exp, fromfunction, hypot
> import matplotlib.pyplot as plt
>
> def func(x, y):
> return exp(-hypot(x-50,y-50) / 20)
>
> fig = plt.figure()
> ax = plt.subplot(111)
> arr = fromfunction(func, (101,101))
> img = plt.imshow(arr)
> plt.show()
>
>
> Instead, it draws an empty figure, and returns a long and
> apparently-repeated traceback, which I hesitate to post in its entirety.
> Here's the last repeat. I believe that I got this eight times in a row:
>
> Traceback (most recent call last):
> File
>
"/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_gtk.py",
line 418, in expose_event
> self._render_figure(self._pixmap, w, h)
> File
>
"/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_gtkagg.py",
line 75, in _render_figure
> FigureCanvasAgg.draw(self)
> File
>
"/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_agg.py",
line 400, in draw
> self.figure.draw(self.renderer)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
> line 55, in draw_wrapper
> draw(artist, renderer, *args, **kwargs)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/figure.py",
> line 886, in draw
> func(*args)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
> line 55, in draw_wrapper
> draw(artist, renderer, *args, **kwargs)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/axes.py", line
> 1983, in draw
> a.draw(renderer)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
> line 55, in draw_wrapper
> draw(artist, renderer, *args, **kwargs)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
> line 356, in draw
> im = self.make_image(renderer.get_image_magnification())
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
> line 576, in make_image
> transformed_viewLim)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
> line 202, in _get_unsampled_image
> x = self.to_rgba(self._A, bytes=True)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/cm.py", line
> 215, in to_rgba
> x = self.cmap(x, alpha=alpha, bytes=bytes)
> File "/usr/local/lib/python2.6/dist-packages/matplotlib/colors.py",
> line 521, in __call__
> cbook._putmask(xa, xa==1.0, np.nextafter(xa.dtype.type(1),
> AttributeError: 'module' object has no attribute 'nextafter'
>
>
> Programs which invoke contour() instead of imshow() fail similarly. I
> downloaded the 1.1.0 animation examples (my whole reason for upgrading
> was to use the new animation methods), and only the line-graph examples
> work.
>
>
> As suggested (on a page I can't quite track down now), I captured a log
> of the build and install commands. The words "error" or "warning" do
> not show up in either of those logs -- and I did get several warnings
> when building 0.99 and 1.0.1, so I feel like things ought to be working
> better this time, not worse...
>
> Thanks for any hints!
>
>
Looks like mpl truly can't be used with older version of numpy. Which
version are you using?
Ben Root

Two days ago I posted some questions about upgrading, and was pointed to
the right resources by some readers who replied to me privately
(thanks!). I am running Python 2.6 on an Ubuntu Linux 10.10 platform.
The upgrade appeared to build successfully, but I still have problems.
Line graphs appear to be working all right, but images and contour
graphs generate errors, and fail to draw.
My procedure:
I deleted every last old matplotlib-related file from my hard disk,from
both my Python dist-packages directory and from my home directory. I
got my build dependencies up to date, and installed using git as
described here:
http://matplotlib.sourceforge.net/faq/installing_faq.html#install-from-git
The three-line simple_plot.py script suggested here...
http://matplotlib.sourceforge.net/faq/installing_faq.html
...runs, displays a line graph, and outputs the following when run with
the flag --verbose-helpful:
17:26:42 -> python simple_plot.py --verbose-helpful
$HOME=/home/john
CONFIGDIR=/home/john/.matplotlib
matplotlib data
path /usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data
loaded rc
file /usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data/matplotlibrc
matplotlib version 1.2.x
verbose.level helpful
interactive is False
platform is linux2
Using fontManager instance from /home/john/.matplotlib/fontList.cache
backend GTKAgg version 2.21.0
findfont:
Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium to Bitstream Vera Sans (/usr/local/lib/python2.6/dist-packages/matplotlib/mpl-data/fonts/ttf/Vera.ttf) with score of 0.000000
Now, here's a very simple script of mine, which should draw a figure
with a colored bulls-eye:
from numpy import exp, fromfunction, hypot
import matplotlib.pyplot as plt
 
def func(x, y):
 return exp(-hypot(x-50,y-50) / 20)
fig = plt.figure()
ax = plt.subplot(111)
arr = fromfunction(func, (101,101))
img = plt.imshow(arr)
plt.show()
Instead, it draws an empty figure, and returns a long and
apparently-repeated traceback, which I hesitate to post in its entirety.
Here's the last repeat. I believe that I got this eight times in a row:
Traceback (most recent call last):
 File
"/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_gtk.py", line 418, in expose_event
 self._render_figure(self._pixmap, w, h)
 File
"/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_gtkagg.py", line 75, in _render_figure
 FigureCanvasAgg.draw(self)
 File
"/usr/local/lib/python2.6/dist-packages/matplotlib/backends/backend_agg.py", line 400, in draw
 self.figure.draw(self.renderer)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
line 55, in draw_wrapper
 draw(artist, renderer, *args, **kwargs)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/figure.py",
line 886, in draw
 func(*args)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
line 55, in draw_wrapper
 draw(artist, renderer, *args, **kwargs)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/axes.py", line
1983, in draw
 a.draw(renderer)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/artist.py",
line 55, in draw_wrapper
 draw(artist, renderer, *args, **kwargs)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
line 356, in draw
 im = self.make_image(renderer.get_image_magnification())
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
line 576, in make_image
 transformed_viewLim)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/image.py",
line 202, in _get_unsampled_image
 x = self.to_rgba(self._A, bytes=True)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/cm.py", line
215, in to_rgba
 x = self.cmap(x, alpha=alpha, bytes=bytes)
 File "/usr/local/lib/python2.6/dist-packages/matplotlib/colors.py",
line 521, in __call__
 cbook._putmask(xa, xa==1.0, np.nextafter(xa.dtype.type(1),
AttributeError: 'module' object has no attribute 'nextafter'
Programs which invoke contour() instead of imshow() fail similarly. I
downloaded the 1.1.0 animation examples (my whole reason for upgrading
was to use the new animation methods), and only the line-graph examples
work.
As suggested (on a page I can't quite track down now), I captured a log
of the build and install commands. The words "error" or "warning" do
not show up in either of those logs -- and I did get several warnings
when building 0.99 and 1.0.1, so I feel like things ought to be working
better this time, not worse...
Thanks for any hints!

This is my summary of what I found out.
2011年11月12日 Friedrich Romstedt <fri...@gm...>:
> So to me this looks pretty much like a gcc-4.2 bug.
>
> MACOSX_DEPLOYMENT_TARGET has nothing todo with the source code. It
> *should* just add a legacy layer. What it apparently does is to
> compile for 10.5 instead, and maybe add a legacy layer for 10.6? Just
> speculating.
>
> So I think we found it, but we cannot solve it apparently.
>
> Only thing is to build libraries for 10.6 with the python.org OS X
> 10.6-only version, so that we can set the deployment target to 10.6
> when building the library (matplotlib).
Hi Mike,
I think it might be that there now, in 2011, with OS X 10.6, there is
no "good" commit anymore. The mechanism was as follows, for those
commits which were apparently "good": The fontcache was loaded without
any change. For the "bad" commits, it was attempted to be recreated,
but this lead to Bus error, and hence it was not written. When the
fontcache is missing, all commits that incorporate the source code
leading to reading that ttf file fail. They didn't fail until the
deployment target bug was introduced into gcc-4.2. They also didn't
fail until there was a ttf file present that triggers probably a
special code route.
It probably might even work with gcc-4.0? I consider that the source
code offending to the bug is in matplotlib from the beginning, as it
isn't apparently a programming mistake. But still it might be that
you find something that triggers it and that can be solved.
If it would not appear with gcc-4.0 that would explain why we have so
little amount of reports on that issue. It seems when using the
python.org Python, which is, probably with the exception of 10.6-only
Python, compiled with gcc-4.0, suffices to circumvent the bug. I'm
not interested in using gcc-4.0, since I compiled libpng, libjpg,
libtiff, libfreetype etc.pp. using gcc-4.2. I, for my own purpose,
will probably recompile only Python without the 10.5 target. This
will sort it out. But I don't know if that is a solution for
packagers always.
I think the offending binary instruction is either in ft2font.so or in
libfreetype.dylib. In the former case, it might result from
ft2font.cpp or from the CXX stuff I didn't understand. In the latter
case, upgrading libfreetype might help, but not likely, since to let
the error propagate to there it must depend on the deployment target
variable used to compile ft2font.so (since the whole Bus error depends
on that). So it is not proabable that the offending instruction is in
libfreetype.dylib.
Friedrich

2011年11月12日 Friedrich Romstedt <fri...@gm...>:
> 2011年11月12日 Friedrich Romstedt <fri...@gm...>:
>> A quick googling of "NISC18030.ttf matplotlib" yields this interesting
>> result: http://groups.google.com/group/sage-devel/browse_thread/thread/2c538915abc99946
>
> And this: http://trac.sagemath.org/sage_trac/ticket/7022. Actually I
> got the above from that.
>
> From there (username is "was", probably William Stein): "All it does
> is take the plane vanilla matplotlib-0.99.1.spkg spkg and add a little
> script that simply rebuilds f2font.so again using *exactly* the same
> command lines used by distutils to build that extension. That's it.
> For some reason -- probably involving environment variables (?) --
> this fixes the problem. I consider this a temporary 1-sage release
> solution until the matplotlib developers (or me) come up with a real
> fix."
>
> I downloaded that script, and reproduced the functionality with my
> framework Python 2.6. The resulting ft2font.so differs binarily from
> the original ft2font, and ... indeed it runs smoothly with that
> ft2font.so.
>
> What the hell is happening here? Is it really CXX related? What
> environmental variables are set by the mighty distutils?
I made up a patched gcc-4.2 bash script that puts the ``env`` output
together with the command to run in logfiles based on timecode.
The result is that the only differences in environmental variables are:
1) PLAT=macosx-10.5-intel
2) MACOSX_DEPLOYMENT_TARGET=10.5
I don't know anything about (1). (2) was set at compile time and is
correct, but I will check if it affects the thing.
I will try to reproduce the original ft2font.so generated by distutils
by manual commands, to see what ingredience makes it fail in the end.
PLAT has apparently no effect on the byte file size at least.
MACOSX_DEPLOYMENT_TARGET makes the file size increase to about the
size of the original file.
The files do not match binary, I guess there's a time stamp somewhere
and a compression involved. Even when the file sizes matched by byte,
the contents still differ binary. I will focus on whether
MACOSX_DEPLOYMENT_TARGET breaks it or not.
Unsetting MACOSX_DEPLOYMENT_TARGET and using hence the default
``10.6`` makes it work.
Recompiling manually with MACOSX_DEPLOYMENT_TARGET=10.5 and removing
the fontcache generated by the last run makes it fail.
So to me this looks pretty much like a gcc-4.2 bug.
MACOSX_DEPLOYMENT_TARGET has nothing todo with the source code. It
*should* just add a legacy layer. What it apparently does is to
compile for 10.5 instead, and maybe add a legacy layer for 10.6? Just
speculating.
So I think we found it, but we cannot solve it apparently.
Only thing is to build libraries for 10.6 with the python.org OS X
10.6-only version, so that we can set the deployment target to 10.6
when building the library (matplotlib).
I'm cc'ing the sage people manually since I'm not on sage-devel and
don't need it at all. William, Ondrej, FYI.
So far,
Friedrich

2011年11月12日 Friedrich Romstedt <fri...@gm...>:
> 2011年11月12日 Friedrich Romstedt <fri...@gm...>:
>> To give the valuable information in the beginning: It appears it
>> cannot handle /Library/Fonts/NISC18030.ttf. It tries to load it via
>> ft2font.FT2Font() but that gives the Bus error. The ttf file dates to
>> 28 Jan 2010. It is 7108232 bytes large. I don't know why it cannot
>> be loaded.
>
> A quick googling of "NISC18030.ttf matplotlib" yields this interesting
> result: http://groups.google.com/group/sage-devel/browse_thread/thread/2c538915abc99946
And this: http://trac.sagemath.org/sage_trac/ticket/7022. Actually I
got the above from that.
>From there (username is "was", probably William Stein): "All it does
is take the plane vanilla matplotlib-0.99.1.spkg spkg and add a little
script that simply rebuilds f2font.so again using *exactly* the same
command lines used by distutils to build that extension. That's it.
For some reason -- probably involving environment variables (?) --
this fixes the problem. I consider this a temporary 1-sage release
solution until the matplotlib developers (or me) come up with a real
fix."
I downloaded that script, and reproduced the functionality with my
framework Python 2.6. The resulting ft2font.so differs binarily from
the original ft2font, and ... indeed it runs smoothly with that
ft2font.so.
What the hell is happening here? Is it really CXX related? What
environmental variables are set by the mighty distutils?
Feel free to start a new thread on -devel as soon as you have some
solution or idea :-)
Friedrich

Hi Michael,
Hi Ranjit,
2010年6月29日 Ranjit Chacko <rjc...@gm...>:
> I've been having some trouble with compiling matplotlib on Snow Leopard. I
> managed to get rid of all my old problems by recompiling everything with
> gcc-4.2.
>
> But now when I import matplotlib.pyplot I get an Abort trap message and
> python quits. Here is part of the error message I get:
>
> Thread 0 Crashed: Dispatch queue: com.apple.main-thread
> 0  libSystem.B.dylib         0x00007fff84a893d6 __kill + 10
> 1  libSystem.B.dylib         0x00007fff84b29972 abort + 83
> 2  libgcc_s.1.dylib         0x0000000100487d51 uw_init_context_1 +
> 385
> 3  libgcc_s.1.dylib         0x00000001004884cc _Unwind_Resume + 76
> 4  ft2font.so            0x00000001017b046d
> FT2Font::FT2Font(std::string) + 4269 (Extensions.hxx:629)
> 5  ft2font.so            0x00000001017b0af8
> ft2font_module::new_ft2font(Py::Tuple const&) + 408 (ft2font.cpp:1728)
> 6  ft2font.so            0x00000001017b3d52
> Py::ExtensionModule<ft2font_module>::invoke_method_varargs(std::string
> const&, Py::Tuple const&) + 162 (Extensions.hxx:422)
> 7  ft2font.so            0x00000001017c25a0
> method_varargs_call_handler + 512
>
> It seems like freetype is the problem and from a little googling I see that
> the sage developers also had a problem with this. Does anyone know how to
> fix this?
Looks familiar, Michael? :-)
It seems there are some matplotlib users we might have scared away
without noticing by this ugly bug we're hopefully tracking down now
:-)
Although this email dates back to June. I updated my OS X roughly
every two weeks that time (from the Install logs of System
Preferences). Notably the google link I sent before
(http://groups.google.com/group/sage-devel/browse_thread/thread/2c538915abc99946)
dates back to Sep 2009, so the problem seems to be around since then.
FYI again, to save you searching on your own.
Friedrich

2010年12月7日 Kaushik Ghose <Kau...@hm...>:
> 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
Any progress since then? Did the installer by Russell work? I'm
writing to you because the date is approx. Dec 2010, and I just ran
into an issue which is related to this date and a font file installed
that time. Does your matplotlib work now?
Friedrich
> 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
> 3  org.python.python          0x002b11ad import_submodule + 301
> 4  org.python.python          0x002b1409 load_next + 201
> 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
> 9  org.python.python          0x00293b50 PyEval_EvalFrameEx + 9680
> 10 org.python.python          0x002982dd PyEval_EvalCodeEx + 2109
> 11 org.python.python          0x002983f7 PyEval_EvalCode + 87
> 12 org.python.python          0x002af8ec PyImport_ExecCodeModuleEx + 188
> 13 org.python.python          0x002b058c load_source_module + 540
> 14 org.python.python          0x002b11ad import_submodule + 301
> 15 org.python.python          0x002b1409 load_next + 201
> 16 org.python.python          0x002b1db1 PyImport_ImportModuleLevel + 337
> 17 org.python.python          0x0028ab5f builtin___import__ + 159
> 18 org.python.python          0x001e4d35 PyObject_Call + 85
> 19 org.python.python          0x002905be PyEval_CallObjectWithKeywords + 78
> 20 org.python.python          0x00293b50 PyEval_EvalFrameEx + 9680
> 21 org.python.python          0x002982dd PyEval_EvalCodeEx + 2109
> 22 org.python.python          0x002983f7 PyEval_EvalCode + 87
> 23 org.python.python          0x002af8ec PyImport_ExecCodeModuleEx + 188
> 24 org.python.python          0x002b058c load_source_module + 540
> 25 org.python.python          0x002b11ad import_submodule + 301
> 26 org.python.python          0x002b1757 ensure_fromlist + 439
> 27 org.python.python          0x002b21ed PyImport_ImportModuleLevel + 1421
> 28 org.python.python          0x0028ab5f builtin___import__ + 159
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> 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
>
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> 0x92cde000 - 0x92d07fff libcups.2.dylib ??? (???)
> <2b0ab6b9fa1957ee940835d0cfd42894> /usr/lib/libcups.2.dylib
> 0x92d08000 - 0x92d47fef libTIFF.dylib ??? (???)
> <a5991d757f0c17a9bb8b1bcb14ab9ec0>
> /System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/ImageIO.framework/Versions/A/Resources/libTIFF.dylib
> 0x92d48000 - 0x92d4efff com.apple.print.framework.Print 218.0.3 (220.2)
> <5b7f4ef7c2df36aff9605377775781e4>
> /System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/Print.framework/Versions/A/Print
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> <3b5f3ab6a363a4d8a2bbbf74213ab0e5>
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> <caa41909dcb5a18a94bc68cd13999bd5>
> /System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/CarbonSound.framework/Versions/A/CarbonSound
> 0x92e51000 - 0x92e51ffb com.apple.installserver.framework 1.0 (8)
> /System/Library/PrivateFrameworks/InstallServer.framework/Versions/A/InstallServer
> 0x92e52000 - 0x92f19ff2 com.apple.vImage 3.0 (3.0)
> /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vImage.framework/Versions/A/vImage
> 0x92f1a000 - 0x92f1affd com.apple.Accelerate 1.4.2 (Accelerate 1.4.2)
> /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate
> 0x9309c000 - 0x9309dffc libffi.dylib ??? (???)
> <596e0dbf626b211741cecaa9698f271b> /usr/lib/libffi.dylib
> 0x93137000 - 0x93166fe3 com.apple.AE 402.3 (402.3)
> <b13bfda0ad9314922ee37c0d018d7de9>
> /System/Library/Frameworks/CoreServices.framework/Versions/A/Frameworks/AE.framework/Versions/A/AE
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> /System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/ColorSync.framework/Versions/A/ColorSync
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> <7a3cc24f78f93931731203854ae0d891>
> /System/Library/Frameworks/IOKit.framework/Versions/A/IOKit
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> <d057feb38163121ffd871c564c692804>
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> <eece3cb8aa0a4e6843fcc1500aca61c5>
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> 0x94755000 - 0x94773fff libresolv.9.dylib ??? (???)
> <a8018c42930596593ddf27f7c20fe7af> /usr/lib/libresolv.9.dylib
> 0x94a83000 - 0x94a8fffe libGL.dylib ??? (???)
> /System/Library/Frameworks/OpenGL.framework/Versions/A/Libraries/libGL.dylib
> 0x94cf9000 - 0x94da0fec com.apple.CFNetwork 438.16 (438.16)
> <dbf00ca36a09edfae60ec44f9d7a9ef9>
> /System/Library/Frameworks/CoreServices.framework/Versions/A/Frameworks/CFNetwork.framework/Versions/A/CFNetwork
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> /System/Library/Frameworks/CoreFoundation.framework/Versions/A/CoreFoundation
> 0x94f25000 - 0x95005fff libobjc.A.dylib ??? (???)
> <7b92613fdf804fd9a0a3733a0674c30b> /usr/lib/libobjc.A.dylib
> 0x95006000 - 0x9503dfff com.apple.SystemConfiguration 1.9.2 (1.9.2)
> <8b26ebf26a009a098484f1ed01ec499c>
> /System/Library/Frameworks/SystemConfiguration.framework/Versions/A/SystemConfiguration
> 0x95133000 - 0x95135ff5 libRadiance.dylib ??? (???)
> <276f13ab6429e05b093a8dda251e3b53>
> /System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/ImageIO.framework/Versions/A/Resources/libRadiance.dylib
> 0x9521f000 - 0x9523effa libJPEG.dylib ??? (???)
> <d23f3f3b9d168bf32f89449f83fa07f7>
> /System/Library/Frameworks/ApplicationServices.framework/Versions/A/Frameworks/ImageIO.framework/Versions/A/Resources/libJPEG.dylib
> 0x952af000 - 0x9532cfef libvMisc.dylib ??? (???)
> /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libvMisc.dylib
> 0x9532d000 - 0x95334ffe libbsm.dylib ??? (???)
> <5582985a86ea36504cca31788bccf963> /usr/lib/libbsm.dylib
> 0x95335000 - 0x953c8fff com.apple.ink.framework 101.3 (86)
> <dfa9debcd7537849d228021d1d9c0f63>
> /System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/Ink.framework/Versions/A/Ink
> 0x953c9000 - 0x953f6feb libvDSP.dylib ??? (???)
> <2ee4eb005babc90eaa352b33eb09226e>
> /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libvDSP.dylib
> 0x95411000 - 0x95429fff com.apple.openscripting 1.2.8 (???)
> <572c7452d7e740e8948a5ad07a99602b>
> /System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/OpenScripting.framework/Versions/A/OpenScripting
> 0x9547a000 - 0x9588afef libBLAS.dylib ??? (???)
> /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
> 0x9588b000 - 0x959f2ff3 libSystem.B.dylib ??? (???)
> <c8f52e158bf540cc000146ca8a705958> /usr/lib/libSystem.B.dylib
> 0x95ba2000 - 0x95ba2ff8 com.apple.ApplicationServices 34 (34)
> <e9cd7c823062c4382d89e3c9997f4739>
> /System/Library/Frameworks/ApplicationServices.framework/Versions/A/ApplicationServices
> 0x95ba3000 - 0x95baafe9 libgcc_s.1.dylib ??? (???)
> <28a7cbc3a5ca2982d124668306f422d9> /usr/lib/libgcc_s.1.dylib
> 0x95bab000 - 0x95bc0ffb com.apple.ImageCapture 5.0.2 (5.0.2)
> /System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/ImageCapture.framework/Versions/A/ImageCapture
> 0x95bc1000 - 0x95c73ffb libcrypto.0.9.7.dylib ??? (???)
> <d02f7e5b8a68813bb7a77f5edb34ff9d> /usr/lib/libcrypto.0.9.7.dylib
> 0x95c74000 - 0x95c76fff com.apple.securityhi 3.0 (30817)
> <020419ad33b8638b174e1a472728a894>
> /System/Library/Frameworks/Carbon.framework/Versions/A/Frameworks/SecurityHI.framework/Versions/A/SecurityHI
> 0x95c77000 - 0x95e48ff3 com.apple.security 5.0.6 (37592)
> <0b25e1e4cc34431630f01edb3fdf54d1>
> /System/Library/Frameworks/Security.framework/Versions/A/Security
> 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)
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> 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
Michael,
at the risk of spamming you, I'm putting you in. I think better one
traceback too much than one too less.
FYI. You're getting the email anyway. The bt looks different than
the one I sent before. Seems the debug symbols from libfreetype are
either missing or it is some in general different problem?
Friedrich