Re: [Matplotlib-users] missing module docs

[Andrew Straw]

John Hunter wrote:
>
>
> On Mon, Feb 22, 2010 at 1:44 PM, Ben Axelrod  > wrote:
>
> I noticed that there are many modules in the current code base
> that are not listed at:
> http://matplotlib.sourceforge.net/modindex.html.  I understand
> that a few are new files and that the documentation for these will
> be generated during the next release.  But I know that most of
> these were in the last release so should have had their
> documentation generated.  Am I missing something?  Can the
> documentation for these modules be found somewhere else?
>
>
> You're not missing anything in terms of the html/pdf docs.  When we
> converted our documentation build system to sphinx/rest, we had to
> convert our docstrings to rest as well.  We made good headway for a
> while but the progress has stalled.  To add a module to the
> documentation system, you need to

Also, it's worth nothing that the docs from svn head are automatically
compiled and uploaded from svn on each commit:

HTML: http://matplotlib.sourceforge.net/trunk-docs/index.html
PDF: http://matplotlib.sourceforge.net/trunk-docs/Matplotlib.pdf

-Andrew

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Re: [Matplotlib-users] How to control display precision and style (e.g., %f or %e) of axis tick labels?

[Philipp Bender]

Hi David,

I found this one::

xticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )

On the page

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.xticks

If I had that problem I would try to do something like that:

xvalues = linspace(0,100,1000)

xticks(xvalues, ["%.2f" % val for val in xvalues])

# or, with a lambda expression, but in #python they say 
# a list comprehension is better (faster)

xticks(xvalues, map(lambda i : "%.2f" % i, xvalues))

The side effect is, of course, that the tick is not exactly at the position he 
indicates. Maybe you better use "arange()" to get the right values for your 
ticks, just make sure that they cover the interval your xvalues are in.

If you find a better solution, please let me know.

Best regards,
Philipp

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[Matplotlib-users] How to control display precision and style (e.g., %f or %e) of axis tick labels?

[David Goldsmith]

I've searched and searched the online docs...please help.

DG


  

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Re: [Matplotlib-users] hexbin log bins and colorbar

[Eric Firing]

John Hunter wrote:
> On Mon, Feb 22, 2010 at 4:33 PM, John Hunter  wrote:
>>  polycol = plt.hexbin(data['jetMomentum'][cut] / 1000,
>> data['deltaR'][cut],gridsize=50, norm=colors.LogNorm())
>>  cb = plt.colorbar(norm=colors.LogNorm())
>>
>> but this appears to be broken:
> 
> I committed some changes to support this -- the following now works:
> 
>   polycol = plt.hexbin(data['jetMomentum'][cut] / 1000,
> data['deltaR'][cut],gridsize=50, norm=colors.LogNorm())
> 
>   cb = plt.colorbar(norm=polycol.norm)
> 
> Eric - I was surprised the colorbar does not use the mappable norm by
> default (if passed norm=None).  Instead it uses ::
> 
>   norm = colors.Normalize()
> 
> is this a feature?

Yes.  You are looking at ColorbarBase, which does not have an associated 
mappable.  The derived Colorbar class does grab the cmap and norm from 
the mappable used in the initialization.  Is this somehow not working? 
Did you really need to specify the norm explicitly?

Eric
> 
> JDH


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Re: [Matplotlib-users] hexbin log bins and colorbar

[John Hunter]

On Mon, Feb 22, 2010 at 4:33 PM, John Hunter  wrote:
>  polycol = plt.hexbin(data['jetMomentum'][cut] / 1000,
> data['deltaR'][cut],gridsize=50, norm=colors.LogNorm())
>  cb = plt.colorbar(norm=colors.LogNorm())
>
> but this appears to be broken:

I committed some changes to support this -- the following now works:

  polycol = plt.hexbin(data['jetMomentum'][cut] / 1000,
data['deltaR'][cut],gridsize=50, norm=colors.LogNorm())

  cb = plt.colorbar(norm=polycol.norm)

Eric - I was surprised the colorbar does not use the mappable norm by
default (if passed norm=None).  Instead it uses ::

  norm = colors.Normalize()

is this a feature?

JDH

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Re: [Matplotlib-users] hexbin log bins and colorbar

[John Hunter]

On Mon, Feb 22, 2010 at 3:42 PM, Jan Strube  wrote:
> Hi John,
> the attachment may not make it to the list. However, please run the modified
> test.py that I have attached.
> It requires the attached input file.
> Then change it to read the original input file.
> In my case:
> The broken case:

OK, at least now we are running the sample example :-)

The problem is that the LogFormatter has a default which is
"decadeOnly=True" and in the first case which "worked" three of the
tick locations coincidentally came down on decades (0, 1, 2 -> 1, 10,
100).  In the case you were working with, only one of the ticks mapped
to the decade.

So for this case we want a locator that returns integers 0,1,2... that
will then get mapped via Eric's custom formatter to the 10^i formats.
Unfortunately, there is no easy way to set the locator for the
colorbar.  An easy workaround *for this case* is to simply set the
tick locations

  cb = plt.colorbar(format=LogFormatterHB(), ticks=[0,1,2])

but in general you may not know the decade span that you need.  It
does all feel a bit kludgy.  The problem as you noted in one of your
earlier posts is that the data is log scaled before being passed into
the PolyCollection and the fact that it is log scaled is then lost to
the colorbar.  It seems everything would fit together more naturally
if we passed in raw scalar data to the PolyCollection and set the norm
to be colors.LogNorm, and then also set norm=colors.LogNorm on the
colorbar

I tried:

  polycol = plt.hexbin(data['jetMomentum'][cut] / 1000,
data['deltaR'][cut],gridsize=50, norm=colors.LogNorm())
  cb = plt.colorbar(norm=colors.LogNorm())

but this appears to be broken:

msie...@pinchiepie:Downloads> python test.py
Traceback (most recent call last):
  File "test.py", line 29, in 
cb = plt.colorbar()
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/pyplot.py",
line 1356, in colorbar
ret = gcf().colorbar(mappable, cax = cax, ax=ax, **kw)
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/figure.py",
line 1103, in colorbar
cb = cbar.Colorbar(cax, mappable, **kw)
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/colorbar.py",
line 690, in __init__
ColorbarBase.__init__(self, ax, **kw)
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/colorbar.py",
line 242, in __init__
self.draw_all()
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/colorbar.py",
line 260, in draw_all
self._config_axes(X, Y)
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/colorbar.py",
line 332, in _config_axes
self.update_ticks()
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/colorbar.py",
line 271, in update_ticks
ticks, ticklabels, offset_string = self._ticker()
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/colorbar.py",
line 458, in _ticker
b = np.array(locator())
  File "/home/msierig/dev/lib/python2.6/site-packages/matplotlib/ticker.py",
line 1173, in __call__
vmin = self.axis.get_minpos()

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Re: [Matplotlib-users] missing module docs

[John Hunter]

On Mon, Feb 22, 2010 at 1:44 PM, Ben Axelrod  wrote:

>  I noticed that there are many modules in the current code base that are
> not listed at: http://matplotlib.sourceforge.net/modindex.html.  I
> understand that a few are new files and that the documentation for these
> will be generated during the next release.  But I know that most of these
> were in the last release so should have had their documentation generated.
> Am I missing something?  Can the documentation for these modules be found
> somewhere else?
>

You're not missing anything in terms of the html/pdf docs.  When we
converted our documentation build system to sphinx/rest, we had to convert
our docstrings to rest as well.  We made good headway for a while but the
progress has stalled.  To add a module to the documentation system, you need
to

  * make sure the docstrings are ReST compliant

  * add a stub in doc/api (eg see figure_api.rst

  * add your new rst file to doc/api/index.rst

We'd like to see all of the user facing modules converted, so contributions
are welcome.  See also


http://matplotlib.sourceforge.net/faq/howto_faq.html?highlight=contributing#contribute-to-matplotlib-documentation
  http://matplotlib.sourceforge.net/devel/documenting_mpl.html
  http://matplotlib.sourceforge.net/sampledoc/

In the meantime, you can always use pydoc or help from the interactive
shell, eg::

  > pydoc matplotlib.patheffects

pydoc also has flags for generating html, etc.

or from the shell (ipython here)::


  In [3]: import matplotlib.patheffects

  In [4]: help matplotlib.patheffects
  --> help(matplotlib.patheffects)

JDH
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[Matplotlib-users] missing module docs

[Ben Axelrod]

I noticed that there are many modules in the current code base that are not 
listed at: http://matplotlib.sourceforge.net/modindex.html.  I understand that 
a few are new files and that the documentation for these will be generated 
during the next release.  But I know that most of these were in the last 
release so should have had their documentation generated.  Am I missing 
something?  Can the documentation for these modules be found somewhere else?

bezier
blocking_input
contour
docstring
finance
hatch
image
mlab
mpl
offsetbox
patheffects
pylab
pyparsing
quiver
rcsetup
table
texmanager
textpath
tight_bbox
units
widgets
windowing
Thanks,
-Ben


Ben Axelrod
Robotics Engineer
(800) 641-2676 x737
[cid:281553619@22022010-0FB8]
www.coroware.com
www.corobot.net

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Re: [Matplotlib-users] Clipping

[John Hunter]

On Mon, Feb 22, 2010 at 10:11 AM, Michael Droettboom  wrote:
> The coordinates for Circle (and all patches) are in data coordinates.
> So the (300, 300) is relative to the values in the data itself.  When
> adding a patch directly to a plot, however, the limits may not
> automatically update, so you may need to call axes.set_xlim or
> axes.set_ylim to adjust them to make the circle visible.

In this example, though, he is not adding the Circle to the Axes via
add_patch (so the transData transform is not set).

Rather, he is using it to set the clip path

  http://matplotlib.sourceforge.net/examples/api/clippath_demo.html

So I think Ryan's answer is correct.

But David, if you want the clippath to be in data coordinates, you can
set the transform yourself

  patch = patches.Circle((300,300), radius=100, transform=ax.transData)

See the transformations tutorial for more about the coordinate systems
and transformations

  http://matplotlib.sourceforge.net/users/transforms_tutorial.html

JDH

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Re: [Matplotlib-users] mplot3d stays?

[John Hunter]

On Mon, Feb 22, 2010 at 10:01 AM, Ben Axelrod  wrote:
> John, your assesment of the problem is correct.  And I believe your suggested 
> solution is also correct.  Currently, each call to a mplot3d plot method is 
> treated independantly.  They get converted into custom PolyCollections which 
> each do the Z-order sorting.

>
> There is still an issue here however.  Even if we implement the aformentioned 
> solution, we are still only approximating a 3d library.  And the result will 
> still not be as nice as matlab.  I believe that because we treat the surface 
> as a series of 2D polygons, the intersection between two surfaces will be at 
> the polygon edges.  See the attached image for an example of what the 
> intersection between a sphere and plane might look like.

True enough, but as your example shows it would still be a substantial
improvement over what we have now, and by getting all the faces in the
scene into a single data structure, we leave open the possibility of
doing something more sophisticated down the road (like chopping a
problematic face into multiple faces, some in front, some behind, an
intersecting object).

JDH

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Re: [Matplotlib-users] 101 Point Segmentation Fault

[Joseph D Cali]

I will be sure to use "gdb" and "bt" to get that information next time I
encounter the segmentation fault or any other error that I post to
list.  

I tried going back to the numpy.dev8106 version just now in an attempt
to recreate the conditions of the error, but I was unsuccessful in
generating any segmentation faults.  My guess is that I made some novice
mistake when upgrading the libraries from source.  

On Mon, 2010-02-22 at 10:16 -0500, Michael Droettboom wrote:
> Can you provide a gdb backtrace?
> 
> Run "gdb python", then at the gdb prompt type "run -c 'import pylab; 
> pylab.clf(); pylab.plot(pylab.sin(range(101))); pylab.xlabel("Test X"); 
> pylab.ylabel("Test Y"); pylab.show()'".  After it segfaults, type "bt" 
> to get a backtrace, and copy-and-paste it to this list.
> 
> Mike
> 
> Joseph D Cali wrote:
> > I am encountering the following error:
> >
> > python -c 'import pylab; pylab.clf(); pylab.plot(pylab.sin(range(101)));
> > pylab.xlabel("Test X"); pylab.ylabel("Test Y"); pylab.show()'
> >
> > /local_home/calijos/usr/lib/python2.6/site-packages/matplotlib/backends/backend_gtk.py:621:
> >  DeprecationWarning: Use the new widget gtk.Tooltip
> >   self.tooltips = gtk.Tooltips()
> > Segmentation fault
> >
> > -
> >
> > But when I run the following command, I encounter no errors and plot is
> > as expected:
> >
> > python -c 'import pylab; pylab.clf(); pylab.plot(pylab.sin(range(100)));
> > pylab.xlabel("Test X"); pylab.ylabel("Test Y"); pylab.show()'
> >
> > I tried several other plots, any plots with less than 100 points work
> > correctly, any plots with more than 100 points segfault.
> >
> > -
> >
> > My current system setup is:
> >
> > System: Ubuntu 9.04 x64
> > Python: Python 2.6.2
> > Matplotlib: >0.99.1 (tied 0.99.1.1, 0.99.1.2, and latest SVN version:
> > 8126)
> > Numpy Version: 1.5.0.dev8106
> >
> > I have been a long time Matplotlib user, and have never encountered this
> > issue.  It started whenever I updated numpy and scipy.  However,
> > reverting to the old version does not seem to fix the situation.  I also
> > cannot get numpy to crash on its own.  All my software works when
> > plotting is disabled.
> >
> > Has anyone else experienced this or similar problems during an upgrade?
> >
> > Joe
> >
> >
> >
> > --
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> > Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW
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> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >   
> 
-- 
Sincerely,
Joe


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Re: [Matplotlib-users] Clipping

[Michael Droettboom]

The coordinates for Circle (and all patches) are in data coordinates.  
So the (300, 300) is relative to the values in the data itself.  When 
adding a patch directly to a plot, however, the limits may not 
automatically update, so you may need to call axes.set_xlim or 
axes.set_ylim to adjust them to make the circle visible.

Mike

Ryan May wrote:
> On Wed, Feb 17, 2010 at 6:44 PM, David Arnold  
> wrote:
>   
>> All,
>>
>> I'm looking at:
>>
>> http://matplotlib.sourceforge.net/examples/api/clippath_demo.html
>>
>> But I cannot figure out:
>>
>> patch=patches.Circle((300, 300), radius=100)
>>
>> Where precisely is (300,300)?
>> 
>
> I believe it's in window coordinates (pixels), with 0,0 being the lower left.
>
> Ryan
>
>   

-- 
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Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA


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[Matplotlib-users] Graph gains a blank space at the right hand side

[Geoff Bache]

Hi all,

I'm having some trouble with graphs ending up wider than I'd like. I'm
using matplotlib 0.98.5.2. If I do as follows:

import pylab
pylab.clf()
figure2 = pylab.figure(1)
axessubplot2 = pylab.subplot(111)
axessubplot2.fill_between([0, 1, 2, 3, 4, 5, 6], [0, 0, 0, 0, 0, 0,
0], [1, 1, 1, 1, 1, 0, 1], color='green')
axessubplot2.fill_between([4, 5, 6], [1, 0, 1], [1, 1, 1], color='red')
figure2.savefig('graph.png', dpi=100)

then the X-axis of the graph goes up to 7 and I get a white region at
the right-hand side, even though none of my calls have provided any
values for x>6. If I for example eliminate the first point and instead
do

import pylab
pylab.clf()
figure2 = pylab.figure(1)
axessubplot2 = pylab.subplot(111)
axessubplot2.fill_between([0, 1, 2, 3, 4, 5], [0, 0, 0, 0, 0, 0], [1,
1, 1, 1, 0, 1], color='green')
axessubplot2.fill_between([3, 4, 5], [1, 0, 1], [1, 1, 1], color='red')
figure2.savefig('graph.png', dpi=100)

then all is well and I don't get such a region.

So I guess I have two questions.
1) Is this a bug? It certainly feels like one...
2) Is there a workaround / what should I do instead?

Regards,
Geoff Bache

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Re: [Matplotlib-users] Pydot graphs in matplotlib?

[Michael Droettboom]

Erik Tollerud wrote:
> I'm curious if anyone knows a good way to embed pydot
> (http://code.google.com/p/pydot/) graphs (or really, any
> graphviz-style graphs) inside matplotlib somehow.  I could easily
> write out a png or something from pydot and then imshow it, but that
> seems very kludgy.  Is there some way to load svg or other vector data
> into matplotlib to be shown inside a figure?
Unfortunately not.  It is possible to cut-and-paste graphviz SVG into a 
matplotlib SVG using Inkscape, but that's fairly kludgy also and can't 
be automated.

It would be nice to have a graphviz importer for matplotlib (something 
that would convert a dot stream to matplotlib artists), but that's a 
mid-sized development effort...  It wouldn't consider it extremely 
difficult, but it would need someone to step up to implement it.

Mike

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Re: [Matplotlib-users] Interpolation between points during plot()

[Michael Droettboom]

The drawing between the points is done using the regular "line drawing" 
commands of the backend.  So there isn't really any low-level control 
over how the line between points is drawn.

As a workaround, however, you can interpolate the data yourself and just 
pass more points to matplotlib.  You may also be interested in this 
document if you're implementing new geodesics (though it doesn't solve 
the interpolation problem you describe):

http://matplotlib.sourceforge.net/devel/add_new_projection.html

Mike

T J wrote:
> Hi,
>
> When plotting,
>
> plot(x, y, marker="-")
>
> and its similar markers, what functionality in MPL is responsible for
> interpolating between the points?  My naive guess is that
> interpolation is done in "display" coordinates since everything looks
> nice even when zooming in.I inquire because I'd like to make
> interpolation between two points follow some other path between the
> two points.  In other words, I'd like to make a plot structure which
> will follow a different type of geodesic.  Any tips or pointers in the
> right direction would be greatly appreciated.
>
> Thanks!
>
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Re: [Matplotlib-users] 101 Point Segmentation Fault

[Michael Droettboom]

Can you provide a gdb backtrace?

Run "gdb python", then at the gdb prompt type "run -c 'import pylab; 
pylab.clf(); pylab.plot(pylab.sin(range(101))); pylab.xlabel("Test X"); 
pylab.ylabel("Test Y"); pylab.show()'".  After it segfaults, type "bt" 
to get a backtrace, and copy-and-paste it to this list.

Mike

Joseph D Cali wrote:
> I am encountering the following error:
>
> python -c 'import pylab; pylab.clf(); pylab.plot(pylab.sin(range(101)));
> pylab.xlabel("Test X"); pylab.ylabel("Test Y"); pylab.show()'
>
> /local_home/calijos/usr/lib/python2.6/site-packages/matplotlib/backends/backend_gtk.py:621:
>  DeprecationWarning: Use the new widget gtk.Tooltip
>   self.tooltips = gtk.Tooltips()
> Segmentation fault
>
> -
>
> But when I run the following command, I encounter no errors and plot is
> as expected:
>
> python -c 'import pylab; pylab.clf(); pylab.plot(pylab.sin(range(100)));
> pylab.xlabel("Test X"); pylab.ylabel("Test Y"); pylab.show()'
>
> I tried several other plots, any plots with less than 100 points work
> correctly, any plots with more than 100 points segfault.
>
> -
>
> My current system setup is:
>
> System: Ubuntu 9.04 x64
> Python: Python 2.6.2
> Matplotlib: >0.99.1 (tied 0.99.1.1, 0.99.1.2, and latest SVN version:
> 8126)
> Numpy Version: 1.5.0.dev8106
>
> I have been a long time Matplotlib user, and have never encountered this
> issue.  It started whenever I updated numpy and scipy.  However,
> reverting to the old version does not seem to fix the situation.  I also
> cannot get numpy to crash on its own.  All my software works when
> plotting is disabled.
>
> Has anyone else experienced this or similar problems during an upgrade?
>
> Joe
>
>
>
> --
> SOLARIS 10 is the OS for Data Centers - provides features such as DTrace,
> Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW
> http://p.sf.net/sfu/solaris-dev2dev
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Science Software Branch
Operations and Engineering Division
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Operated by AURA for NASA


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Re: [Matplotlib-users] label not print theta symbol

[Samuel Teixeira Santos]

thanks both!
very nice LaTeX

2010/2/22 Darren Dale 

> On Mon, Feb 22, 2010 at 8:36 AM, Philipp Bender 
> wrote:
> > Hi,
> >
> >> How do I print as label of an axis the Theta symbol - θ?
> >
> > you can take a look in the docs, there are examples how to use LaTeX for
> the
> > labels. You get the letter in LaTeX with \theta or \Theta.
>
> But be sure to either use raw strings or escape properly: r"\theta" or
> "\\theta"
>
>
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Re: [Matplotlib-users] label not print theta symbol

[Darren Dale]

On Mon, Feb 22, 2010 at 8:36 AM, Philipp Bender  wrote:
> Hi,
>
>> How do I print as label of an axis the Theta symbol - θ?
>
> you can take a look in the docs, there are examples how to use LaTeX for the
> labels. You get the letter in LaTeX with \theta or \Theta.

But be sure to either use raw strings or escape properly: r"\theta" or "\\theta"

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Re: [Matplotlib-users] label not print theta symbol

[Philipp Bender]

Hi,

> How do I print as label of an axis the Theta symbol - θ?

you can take a look in the docs, there are examples how to use LaTeX for the 
labels. You get the letter in LaTeX with \theta or \Theta.

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Re: [Matplotlib-users] dropdown menu

[John Hunter]

On Mon, Feb 22, 2010 at 4:26 AM, Wolfgang Kerzendorf
 wrote:
> Hello,
>
> Now that I have found the awesome widgets in matplotlib I want more: dropdown 
> menus? will that come at some stage?

I have worked on it, but not finished it.  I put the code in svn under examples

  http://matplotlib.sourceforge.net/examples/widgets/menu.html

but it would be migrated to matplotlib.widgets once it is completed.
If you or someone else wants to run with it, that would be great.  It
would be handy to have this functionality.

I wrote this before JJ provided his nice containers in offsetbox, and
it should probably be reworked to use the OffsetbOX

JDH

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[Matplotlib-users] dropdown menu

[Wolfgang Kerzendorf]

Hello,

Now that I have found the awesome widgets in matplotlib I want more: dropdown 
menus? will that come at some stage?

Cheers
Wolfgang
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[Matplotlib-users] label not print theta symbol

[Samuel Teixeira Santos]

Hi all,

How do I print as label of an axis the Theta symbol - θ?


thanks in advanced
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Re: [Matplotlib-users] hexbin log bins and colorbar

[Jan Strube]

Hi John, Eric,

sorry to bug again, but was either of you able to reproduce my findings that
in svn head the tick labels don't get printed if the formatter changes them
to be outside the range of the axis?
Cheers,
Jan


On Fri, Feb 19, 2010 at 10:40 AM, Jan Strube  wrote:

> Hi John,
>
> I am now at r8141.
> I don't see a difference. There's a one at the bottom of the scale, that's
> all.
> I am copying and pasting the code in your other email into a python
> console.
>
> It's a bit strange, because when I put in a print statement, I see that the
> method gets called a number of times...
> [edit] I see what's going on. If I replace vv with a large constant (like
> 100), it never gets printed.
> If I replace vv with a small constant (like 1), that is below the range of
> the scale, it does get printed at each tick.[/edit]
>
> My setup is kubuntu karmic, dependencies listed below.
> I have removed my matplotlibrc, but the result is the same. I am attaching
> it nevertheless...
>
> Cheers,
> Jan
>
>
>
> 
>
> BUILDING
> MATPLOTLIB
>
> matplotlib:
> 1.0.svn
>
> python: 2.6.4 (r264:75706, Nov  2 2009, 14:44:17)
> [GCC
>
> 4.4.1]
>
>   platform:
> linux2
>
>
>
> REQUIRED
> DEPENDENCIES
>
>  numpy:
> 1.3.0
>
>  freetype2:
> 9.20.3
>
>
>
> OPTIONAL BACKEND
> DEPENDENCIES
>
> libpng:
> 1.2.37
>
>Tkinter:
> no
>
> * TKAgg requires
> Tkinter
>
>   wxPython:
> no
>
> * wxPython not
> found
>
> pkg-config: looking for pygtk-2.0
> gtk+-2.0
>
> * Package pygtk-2.0 was not found in the
> pkg-config
> * search path. Perhaps you should add the
> directory
> * containing `pygtk-2.0.pc' to the
> PKG_CONFIG_PATH
>
> * environment variable No package 'pygtk-2.0'
> found
> * Package gtk+-2.0 was not found in the
> pkg-config
> * search path. Perhaps you should add the
> directory
> * containing `gtk+-2.0.pc' to the
> PKG_CONFIG_PATH
>
> * environment variable No package 'gtk+-2.0'
> found
> * You may need to install 'dev' package(s)
> to
> * provide header
> files.
>
>   Gtk+:
> no
>
> * Could not find Gtk+ headers in any
> of
>
> * '/usr/local/include', '/usr/include',
> '.'
>Mac OS X native:
> no
>
> Qt:
> no
>
>Qt4: Qt: 4.5.2, PyQt4:
> 4.6
>
>  Cairo:
> 1.8.6
>
>
>
> OPTIONAL DATE/TIMEZONE
> DEPENDENCIES
>
>   datetime: present, version
> unknown
>
>   dateutil:
> 1.4.1
>
>   pytz:
> 2009l
>
>
>
> OPTIONAL USETEX
> DEPENDENCIES
>
> dvipng:
> 1.12
>
>ghostscript:
> 8.70
>
>  latex:
> 3.1415926
>
>pdftops:
> 0.12.0
>
>
>
> [Edit setup.cfg to suppress the above
> messages]
>
>
> 
>
>
> On Thu, Feb 18, 2010 at 10:29 PM, John Hunter  wrote:
>
>> On Thu, Feb 18, 2010 at 4:06 PM, Jan Strube  wrote:
>> > Hi John,
>> > thanks for trying this also. Yes, I think it's a bug that not the scale
>> is
>> > log, but the data is.
>> > Unfortunately, the solution really doesn't work for me.
>> > Please see the attached screenshot. (Yes, it still says log_10 entries,
>> but
>> > the code is otherwise the same)
>> > In [2]: matplotlib.__version__
>> > Out[2]: '1.0.svn'
>> > This is r8063, I think.
>> > Strange that I get different results. Could this be a backend problem? I
>> use
>> > PyQT4.
>> > I'd be happy to also update from svn if you think that helps.
>>
>> I'm running svn but not svn HEAD -- you should try updating to HEAD
>> and I will do the same later (unfortunately HEAD is broken on my work
>> machine (solaris, python2.4) because of the CXX upgrade I put in some
>> time ago.  I think I am on r8083.
>>
>> I do not think this difference could be caused by a backend or GUI
>> version difference as all of the formatting logic happens in the
>> frontend.  If we are on the same version of svn, we should be getting
>> the same tick labels.
>>
>> JDH
>>
>
>
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