matplotlib-users Mailing List for matplotlib (Page 13)

Well, it's related to the TikZ converter I'm writing. After having
created the plot, the script is of course totally oblivious to what
exact commands were used.
I was thinking that there is still some sort of bond between the color
bar and its parent plot after their creation, e.g., for when the color
map of the main plot is changed. -- Is that not the case?

 --Nico



On Mon, Feb 15, 2010 at 6:16 PM, Jae-Joon Lee <lee...@gm...> wrote:
> Is there any reason that you need to find out which axes is a color
> bar axes from the list of axes? Can you just keep references to
> colorbars you create?
>
> cbar = colorbar()
> cax = cbar.ax
>
> cax is the axes instance of the colobar you just created.
>
> Regards,
>
> -JJ
>
>
> On Mon, Feb 15, 2010 at 12:04 PM, Nico Schlömer
> <nic...@gm...> wrote:
>> Hi,
>>
>> when plotting a color bar with a plot in matplotlib, the color bar
>> gets treated internally as Axes.
>>
>> With two main plots, each of which comes with a color bar, one structurally gets
>>
>> <class 'matplotlib.figure.Figure'>
>>    <class 'matplotlib.axes.Axes'>
>>    <class 'matplotlib.axes.Axes'>
>>    <class 'matplotlib.axes.Axes'>
>>    <class 'matplotlib.axes.Axes'>
>>
>> (that is, a Figure has for childres Axes). To find out which one of
>> those is a color bar, I basically inspect their children an look for
>> Arrays with shape (256,), which is what color bars look like. That's
>> ugly of course, but it kind of works(tm). :)
>>
>> I'm having problems, though, with associating color bars with the
>> specific plot. Can I rely on the rule that an Axes -- if it has a
>> color bar --, is immediately followed by the corresponding (color bar)
>> Axes environment? Are there any other properties I could check to
>> identify color bars? (Tried get_label to no avail.)
>>
>> Cheers,
>> Nico
>>
>> ------------------------------------------------------------------------------
>> 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
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>

Is there any reason that you need to find out which axes is a color
bar axes from the list of axes? Can you just keep references to
colorbars you create?

cbar = colorbar()
cax = cbar.ax

cax is the axes instance of the colobar you just created.

Regards,

-JJ


On Mon, Feb 15, 2010 at 12:04 PM, Nico Schlömer
<nic...@gm...> wrote:
> Hi,
>
> when plotting a color bar with a plot in matplotlib, the color bar
> gets treated internally as Axes.
>
> With two main plots, each of which comes with a color bar, one structurally gets
>
> <class 'matplotlib.figure.Figure'>
>    <class 'matplotlib.axes.Axes'>
>    <class 'matplotlib.axes.Axes'>
>    <class 'matplotlib.axes.Axes'>
>    <class 'matplotlib.axes.Axes'>
>
> (that is, a Figure has for childres Axes). To find out which one of
> those is a color bar, I basically inspect their children an look for
> Arrays with shape (256,), which is what color bars look like. That's
> ugly of course, but it kind of works(tm). :)
>
> I'm having problems, though, with associating color bars with the
> specific plot. Can I rely on the rule that an Axes -- if it has a
> color bar --, is immediately followed by the corresponding (color bar)
> Axes environment? Are there any other properties I could check to
> identify color bars? (Tried get_label to no avail.)
>
> Cheers,
> Nico
>
> ------------------------------------------------------------------------------
> 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
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Thought I would post this as a simple GTKagg animation 
with patches (after John Hunter fixed it for me :-):





import pygtk, gobject
import matplotlib
matplotlib.use('GTKAgg')
import numpy as np
import matplotlib.pyplot as plt
import pylab 
from matplotlib.patches import CirclePolygon, Polygon

fig = plt.figure(figsize=(10,6))
ax = fig.add_subplot(111, autoscale_on=False )
canvas = fig.canvas

plt.axis([-1, 7, -0.5, 2.2])

def update_line():
   global x, y
   print update_line.cnt_tot
   if update_line.background is None:
       update_line.background = canvas.copy_from_bbox(ax.bbox)
   canvas.restore_region(update_line.background)

   x_cir = 1.0 + 0.003*update_line.cnt

   if update_line.cir is None:
       cir =  CirclePolygon((x_cir, 1), 0.3, animated=True, \
                   resolution=12, lw=2 )
       ax.add_patch(cir)
       update_line.cir = cir
   else:
       update_line.cir._xy = x_cir, 1
       update_line.cir._update_transform()
       ax.draw_artist(update_line.cir)

   canvas.blit(ax.bbox)

   if update_line.direction == 0:
       update_line.cnt += 1
       update_line.cnt_tot += 1 
       if update_line.cnt > 500:
           update_line.direction = 1
   else:
       update_line.cnt -= 1
       update_line.cnt_tot += 1 
       if update_line.cnt < 100:
           update_line.direction = 0

   return update_line.cnt<100000


update_line.cnt = 0
update_line.cnt_tot = 0
update_line.direction = 0
update_line.background = None
update_line.cir = None

def start_anim(event):
    gobject.idle_add(update_line)
    canvas.mpl_disconnect(start_anim.cid)

start_anim.cid = canvas.mpl_connect('draw_event', start_anim)

plt.show()

Hi John -
Yes thanks again!  This did it. Plus it is a valuable lesson
 - it never occurred to me to look at the base class to find 
more useful methods.  To make this cleaner I will post the
complete simple working example after this message.
best,
John  

-----Original Message-----
From: John Hunter [mailto:jd...@gm...] 
Sent: Sunday, February 14, 2010 7:39 PM
To: John Jameson
Cc: mat...@li...; Michael Droettboom
Subject: Re: [Matplotlib-users] memory leak for GTKAgg animation

On Sat, Feb 13, 2010 at 2:53 PM, John Jameson <jja...@al...>
wrote:
> HI,
> I find the very basic animation below has a memory leak (my pagefile usage
> number keeps growing in the Windows XP Windows Task Manager Performance
> graph).I don't see this with the "animation_blit_gtk.py" example on:
>
> http://matplotlib.sourceforge.net/examples/index.html
>
> (which I used as a starting point for this). In "animation_blit_gtk.py"
the
> set_ydata() routine is used to update the line for the animation and this
> does not leak. But if you call plot again with the new y_data (instead of
> using set_ydata), this leaks too. Anyone have an idea on how to stop the
> leak?

This isn't a memory leak.  The problem is that you keep adding new
patches to the axes when you want just one with different data.  Eg,
in your loop, run this code, and you will see that the number of
patches is growing:


   x_cir = 1.0 + 0.003*update_line.cnt
   cir =  CirclePolygon((x_cir, 1), 0.3, animated=True, \
                   resolution=12, lw=2 )
   ax.add_patch(cir)
   ax.draw_artist(cir)
   print 'num patches=%d, mem usage=%d'%(
       len(ax.patches), cbook.report_memory(update_line.cnt))
   canvas.blit(ax.bbox)

You should add just one patch and then manipulate the data.  In this
case, you are using a CirclePolygon which derives from RegularPolygon
and so you can update the "xy" property

 
http://matplotlib.sourceforge.net/api/artist_api.html#matplotlib.patches.Reg
ularPolygon

But on testing this it looks like there is a bug in that the set_xy
property setter is ignored.  I worked around this in the func below by
setting the private variable directly, but this looks like a bug we
need to fix (Michael, shouldn't we respect the xy passed in in
patches.RegularPolygon._set_xy ?).  In the meantime, the following
workaround should work for you w/o leaking....

def update_line():
   global x, y
   print update_line.cnt
   if update_line.background is None:
       update_line.background = canvas.copy_from_bbox(ax.bbox)
   canvas.restore_region(update_line.background)

   x_cir = 1.0 + 0.003*update_line.cnt

   if update_line.cir is None:
       cir =  CirclePolygon((x_cir, 1), 0.3, animated=True, \
                   resolution=12, lw=2 )
       ax.add_patch(cir)
       update_line.cir = cir
   else:
       update_line.cir._xy = x_cir, 1
       update_line.cir._update_transform()
   ax.draw_artist(update_line.cir)
   print 'num patches=%d, xy=%s, mem usage=%d'%(
       len(ax.patches), update_line.cir.xy,
cbook.report_memory(update_line.cnt))
   canvas.blit(ax.bbox)

   if update_line.direction == 0:
       update_line.cnt += 1
       if update_line.cnt > 500:
           update_line.direction = 1
   else:
       update_line.cnt -= 1
       if update_line.cnt < 100:
           update_line.direction = 0

   return update_line.cnt<100


update_line.cnt = 0
update_line.direction = 0
update_line.background = None
update_line.cir = None

Try

ax1.xaxis.offsetText.set_visible(False)

where ax1 is the upper axes.

Regards,

-JJ


On Mon, Feb 15, 2010 at 4:50 AM, Jan Strube <cur...@gm...> wrote:
> Hi Jeff,
> thanks for your quick reply.
> Unfortunately, the line you sent me doesn't have any effect on the plot,
> either before or after turning off the tick labels.
> Do you have another suggestion?
> Cheers,
>     Jan
> On Sun, Feb 14, 2010 at 11:28 PM, Jeffrey Blackburne <je...@mi...> wrote:
>>
>> On Feb 14, 2010, at 5:41 PM, Jan Strube wrote:
>>
>>> Dear matplotters,
>>>
>>> I'm trying to follow
>>>
>>> http://matplotlib.sourceforge.net/examples/pylab_examples/ganged_plots.html
>>> as an example how to turn of the ticks in the case of shared x axes.
>>> The tick labels are gone, but unfortunately, matplotlib still plots a
>>> '1e5' on the axis for which I have turned off the tick labels.
>>> Please see the attached file for the problem
>>>
>>> How can I also switch of the exponent?
>>>
>>> Thanks,
>>>    Jan
>>
>>
>> Try this:
>>
>> ax.xaxis.set_major_formatter(mpl.ticker.ScalarFormatter(useOffset=False))
>>
>> where 'ax' is the name of the top subplot.
>>
>> Good luck,
>> Jeff
>>
>
>
> ------------------------------------------------------------------------------
> 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
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi,

when plotting a color bar with a plot in matplotlib, the color bar
gets treated internally as Axes.

With two main plots, each of which comes with a color bar, one structurally gets

<class 'matplotlib.figure.Figure'>
    <class 'matplotlib.axes.Axes'>
    <class 'matplotlib.axes.Axes'>
    <class 'matplotlib.axes.Axes'>
    <class 'matplotlib.axes.Axes'>

(that is, a Figure has for childres Axes). To find out which one of
those is a color bar, I basically inspect their children an look for
Arrays with shape (256,), which is what color bars look like. That's
ugly of course, but it kind of works(tm). :)

I'm having problems, though, with associating color bars with the
specific plot. Can I rely on the rule that an Axes -- if it has a
color bar --, is immediately followed by the corresponding (color bar)
Axes environment? Are there any other properties I could check to
identify color bars? (Tried get_label to no avail.)

Cheers,
Nico

I have a script that calls several subroutines which each draw a
figure (TkAgg backend). When I call show() at the end of the script
all the figures pop up no problem, but when your producing 20+ figures
its a bit overwhelming! It'd be great if I could have just one plot
window with each figure as a tab in that window - is this possible
from matplotlib?

-- 
Cheers,

Nick Schurch

Data Analysis Group (The Barton Group),
School of Life Sciences,
University of Dundee,
Dow St,
Dundee,
DD1 5EH,
Scotland,
UK

Tel: +44 1382 388707
Fax: +44 1382 345 893

Can you send a minimal working example that shows the problem?

On Feb 15, 2010, at 4:50 AM, Jan Strube wrote:

> Hi Jeff,
>
> thanks for your quick reply.
> Unfortunately, the line you sent me doesn't have any effect on the  
> plot, either before or after turning off the tick labels.
>
> Do you have another suggestion?
>
> Cheers,
>     Jan
>
> On Sun, Feb 14, 2010 at 11:28 PM, Jeffrey Blackburne  
> <je...@mi...> wrote:
>
> On Feb 14, 2010, at 5:41 PM, Jan Strube wrote:
>
> Dear matplotters,
>
> I'm trying to follow
> http://matplotlib.sourceforge.net/examples/pylab_examples/ 
> ganged_plots.html
> as an example how to turn of the ticks in the case of shared x axes.
> The tick labels are gone, but unfortunately, matplotlib still plots  
> a '1e5' on the axis for which I have turned off the tick labels.
> Please see the attached file for the problem
>
> How can I also switch of the exponent?
>
> Thanks,
>    Jan
>
>
> Try this:
>
> ax.xaxis.set_major_formatter(mpl.ticker.ScalarFormatter 
> (useOffset=False))
>
> where 'ax' is the name of the top subplot.
>
> Good luck,
> Jeff
>
>
> ---------------------------------------------------------------------- 
> --------
> 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_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On 2010-02-14 11:23 AM, Charles R Harris wrote:
> Lines 147-151 of __init__ need to be changed to
>
> import numpy
> nn = numpy.__version__.split('.')
> if not (int(nn[0]) > 1 or int(nn[0]) == 1 and int(nn[1]) >= 1):
>      raise ImportError(
> 'numpy 1.1 or later is required; you have %s' % numpy.__version__)

It's been noted and fixed in SVN.

-- 
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

Hi, Phillip. don't know why the mail would be returned. The address I 
see above is correct. sie...@sb.... The only thing I can 
think of is that yahoo mail wanted you to allow you to ask for 
permission. Beats me.

Frankly, I've never really liked the reply format of mail lists. I use 
Thunderbird on Win. Sometimes I see messages in my inbox from someone 
and wonder are they trying for a private comm or just sending me a 
courtesy msg so that I should follow up on the list.  Then there's Reply 
vs Reply All, and some filter  problems. The latter can produce what I 
call the boomerang effect. Mail intended for me goes right into the list 
folder. There are goblins out there. :-)

To me all this can be solved by one word, Forum. Not a mail list. Aside 
from the possible cost (to the Python Org?), comm is much clearer on 
them.  Perhaps one disadvantage is that some people apparently have some 
bizarre form of e-mail that is not suitable for them.   Otherwise, I 
have no idea why they are not more often used.

html not allowed? The rules just vary too much to follow this. Same with 
bottom vs top posting in NGs. My view, and I'm not trying to be 
unfriendly here, is if one doesn't like what they see,  ignore it, and 
don't respond.

+NG. Expect the unexpected. The warriors and self appointed moderators 
hang out there. Some are just begging for a fight.
+e-mail. If you aren't communicating with your friends, misunderstanding 
often prevail.
+Forums: Almost bliss. I must belong to 30 of them.

I must say that I am really puzzled by your comments about a footnote. I 
really don't use them much. I've probably posted thousands of msgs to 
NGs, forums, mail lists and I've never heard word one about footnotes. I 
use them as I see fit, and that's not very often. In fact, I like your 
use of the footnote below.

I'm not even going to touch etiquette. I'd be really impressed if anyone 
follows them. I'll just say this. Internet communication by any of the 
methods above is sometimes just plain weird. It takes patience to use 
these methods. That includes personal e-mail. Someone should write a 
book about it. Preferably a shrink of psychologist. IMHO, the internet 
is generally meant for easy and informal communications, and not studied 
carefully written posts. That doesn't mean some care isn't needed. I see 
matters as a running dialogs. Both  parties need to ask questions about 
clarity. Too much is often assumed.Maybe I'll write about it. Let's not 
hold  our breaths.

Hey, no footnotes used above. VBG

Cheers.


On 2/14/2010 1:39 PM, Philipp Bender wrote:
> Hi Wayne,
>
> (I wanted to answer you directly but the mail came back, don't know why)
> I have several points that
> you really should work on if you expect anyone to answer to your mails in
> future. First, you should check the destination of your messages. I got at
> least three of your messages addressed only for me, you obviously wanted to
> send them to the list but they only reached me. So I didn't answer because the
> mailing list should be an open and searchable discussion platform and I didn't
> want to forward your message to the list or something like that. Please check
> that carefully in future.
>
> The next thing is that everyone must have the feeling that you completely
> ignore replies. This link here should have been an alert for you:
>
> http://www.freebsd.org/doc/en/articles/mailing-list-faq/etiquette.html
>
> This was posted as reply to one of your mails. One thing explained there is to
> not
> cite the original mail after the own reply, instead you should cite the
> original issue at the beginning or in parts directly before the parts of the
> answer. See below:
>
>    
>>> How to do foo bar?
>>>        
> Just like that.
>
> You see? The same thing about your footnotes*.
>
> Another thing is the HTML I received from your adress two times -- HTML has
> neither benefit nor a good reputation in mailing lists. I delete HTML mails
> without reading it in most cases.
>
> And, but that's maybe more a personal thing, I find it very unfriendly to ask
> in the subject and write in the body something like "(see subject)" -- we take
> the time to read your message, in respect to that you also should take the
> time to ask a complete question.
>
> Please don't misunderstand this message -- I don't want to blame you, I want
> to help you and make sure that you get answers to your questions in future.
>
> Regards,
> Philipp
>
> * like this one here. They don't help you, they don't explain anything, they
> don't help me reading the message, they have absolutely no benefit.
>
> ------------------------------------------------------------------------------
> 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
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>    

-- 
"Crime is way down. War is declining. And that's far from the good 
news." -- Steven Pinker (and other sources) Why is this true, but yet 
the media says otherwise? The media knows very well how to manipulate us 
(see limbic, emotion, $$). -- WTW

Jeff Whitaker wrote:
> Philipp Lies wrote:
>> On 02/12/2010 07:49 PM, Eric Firing wrote:
>>  
>>> Philipp Lies wrote:
>>>    
>>>> Hi,
>>>>
>>>> is there a backend that supports 16bit tiff images?
>>>>       
> 
> The macosx backend supports tiff.
Thanks, but I need a linux backend :-/


>>> Can you just use png, and use the netpbm utilities or ImageMagick
>>> convert program to go to and from tiff?
>>>     
>> Would be 'dirty' but acceptable if matplotlib would support saving
>> uncompressed grayscale uint16 png files. But saving  nxm uint16 arrays
>> leads to nxmx3 float arrays which do not even closely resemble my
>> original data.
>> Example:
>> A
>> array([[47705, 11865,   739, 16941, 37700],
>>         [64321, 26860, 49945, 63556, 13498],
>>         [ 2676,  7720,  5995, 22399, 32735],
>>         [56577, 34443,  6636, 23409, 61331],
>>         [ 1020, 26013, 34677, 37262, 36136]], dtype=uint16)
>> imsave('t.png',A)
>> B = imread('t.png')
>> B[:,:,0]
>>
>> array([[ 1.,  0.,  0.,  0.,  0.74117649],
>>         [ 0.49803922,  0.19607843,  1.,  0.5529412 ,  0. ],
>>         [ 0.,  0.,  0.,  0.,  0.48627451],
>>         [ 1.,  0.57647061,  0.,  0.01960784,  0.71372551],
>>         [ 0.,  0.14509805,  0.58823532,  0.72941178,  0.66666669]],
>> dtype=float32)
>>
>>
>>  
>>>> According to the website GDK supports tiff but that's wrong:
>>>>
>>>>      
>>>>>>> import matplotlib
>>>>>>> matplotlib.use('GDK')
>>>>>>> import matplotlib.pyplot as pyplot
>>>>>>> pyplot.imsave(arr=X, fname='test.tif')
>>>>>>>             
>>>> Traceback (most recent call last):
>>>> File "<stdin>", line 1, in <module>
>>>> File "/usr/lib/pymodules/python2.6/matplotlib/pyplot.py", line 1425,
>>>> in imsave
>>>> return _imsave(*args, **kwargs)
>>>> File "/usr/lib/pymodules/python2.6/matplotlib/image.py", line 813, in
>>>> imsave
>>>> fig.savefig(fname, dpi=1, format=format)
>>>> File "/usr/lib/pymodules/python2.6/matplotlib/figure.py", line 1033,
>>>> in savefig
>>>> self.canvas.print_figure(*args, **kwargs)
>>>> File "/usr/lib/pymodules/python2.6/matplotlib/backend_bases.py", line
>>>> 1420, in print_figure
>>>> '%s.' % (format, ', '.join(formats)))
>>>> ValueError: Format "tif" is not supported.
>>>> Supported formats: emf, eps, pdf, png, ps, raw, rgba, svg, svgz.
>>>>      
>>>>>>> matplotlib.backends.backend
>>>>>>>             
>>>> 'gdk'
>>>>
>>>> matplotlib 0.99.0 python 2.6.4 ubuntu karmic x64
>>>>
>>>> If matplotlib cannot provide tiff support, does someone know an
>>>> alternative? PIL doesn't work either, at least not intuitively.

Philipp Lies wrote:
> On 02/12/2010 07:49 PM, Eric Firing wrote:
>   
>> Philipp Lies wrote:
>>     
>>> Hi,
>>>
>>> is there a backend that supports 16bit tiff images?
>>>       

The macosx backend supports tiff.

-Jeff
>> Can you just use png, and use the netpbm utilities or ImageMagick
>> convert program to go to and from tiff?
>>     
> Would be 'dirty' but acceptable if matplotlib would support saving 
> uncompressed grayscale uint16 png files. But saving  nxm uint16 arrays 
> leads to nxmx3 float arrays which do not even closely resemble my 
> original data.
> Example:
> A
> array([[47705, 11865,   739, 16941, 37700],
>         [64321, 26860, 49945, 63556, 13498],
>         [ 2676,  7720,  5995, 22399, 32735],
>         [56577, 34443,  6636, 23409, 61331],
>         [ 1020, 26013, 34677, 37262, 36136]], dtype=uint16)
> imsave('t.png',A)
> B = imread('t.png')
> B[:,:,0]
>
> array([[ 1.,  0.,  0.,  0.,  0.74117649],
>         [ 0.49803922,  0.19607843,  1.,  0.5529412 ,  0. ],
>         [ 0.,  0.,  0.,  0.,  0.48627451],
>         [ 1.,  0.57647061,  0.,  0.01960784,  0.71372551],
>         [ 0.,  0.14509805,  0.58823532,  0.72941178,  0.66666669]], 
> dtype=float32)
>
>
>   
>>> According to the website GDK supports tiff but that's wrong:
>>>
>>>       
>>>>>> import matplotlib
>>>>>> matplotlib.use('GDK')
>>>>>> import matplotlib.pyplot as pyplot
>>>>>> pyplot.imsave(arr=X, fname='test.tif')
>>>>>>             
>>> Traceback (most recent call last):
>>> File "<stdin>", line 1, in <module>
>>> File "/usr/lib/pymodules/python2.6/matplotlib/pyplot.py", line 1425,
>>> in imsave
>>> return _imsave(*args, **kwargs)
>>> File "/usr/lib/pymodules/python2.6/matplotlib/image.py", line 813, in
>>> imsave
>>> fig.savefig(fname, dpi=1, format=format)
>>> File "/usr/lib/pymodules/python2.6/matplotlib/figure.py", line 1033,
>>> in savefig
>>> self.canvas.print_figure(*args, **kwargs)
>>> File "/usr/lib/pymodules/python2.6/matplotlib/backend_bases.py", line
>>> 1420, in print_figure
>>> '%s.' % (format, ', '.join(formats)))
>>> ValueError: Format "tif" is not supported.
>>> Supported formats: emf, eps, pdf, png, ps, raw, rgba, svg, svgz.
>>>       
>>>>>> matplotlib.backends.backend
>>>>>>             
>>> 'gdk'
>>>
>>> matplotlib 0.99.0 python 2.6.4 ubuntu karmic x64
>>>
>>> If matplotlib cannot provide tiff support, does someone know an
>>> alternative? PIL doesn't work either, at least not intuitively.
>>>
>>> Cheers
>>>
>>> Philipp
>>>
>>>       
>
>   

Does anyone know where I can find a compiled demo that uses MPL grphics? 
I'd like, if possible, a Win version whose size is less than 10M, so 
that I can send it via e-mail, if necessary. It should use plot, so that 
someone can manipulate the plot with the navigation controls. At this 
point, I have no idea if that method is the fundamental graph tool or 
not. I suspect it is.

If a mailable demo isn't available, maybe there's a web site that one 
can download such examples from?
-- 
"Crime is way down. War is declining. And that's far from the good 
news." -- Steven Pinker (and other sources) Why is this true, but yet 
the media says otherwise? The media knows very well how to manipulate us 
(see limbic, emotion, $$). -- WTW

Hello,
I have a similar problem to:
> Suppose I plot a line from (0,0) to (1,1.5) to (2,2). Now I want to mark 
> (1,1.5) with a green circle. How is that done?

I am performing a curve fit and also showing a distribution in my plot.
In order to help the reader to evaluate the result I would like to draw certain
boundaries (vertical and horizontal line).
While I am aware on how to draw such lines, I would like to know wheather there
are some functions in matplotlib which help me to retrieve the coordinates

a) at which two curves intersect
b) at which a distribution reaches a certain value?

Example:
How do I get the y-axis value which is reached by the green curve in 
http://matplotlib.sourceforge.net/_images/histogram_demo_extended_021.png
a x-axis value of in 175?

I could proably use a solver from numpy like
http://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.solve.html#numpy.linalg.solve
but if I plot a distribution, the equation of the envelove is unknown at the
first place.

I'd appreciate your help or pointers to examples.

Thanks a lot in advance,
Timmie

http://www.graphviz.org/ ?

On Sun, Feb 14, 2010 at 5:35 AM, Mag Gam <mag...@gm...> wrote:

> I manage 300 servers at my university lab. I would like to map out all
> the cron entries into a nice graph but I am not sure what would be
> appropriate. Can someone please suggest what would be ideal?
>
> TIA
>
>
> ------------------------------------------------------------------------------
> 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
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I almost have a solution for this for the Mac OS X backend. I am stuck though at what I should pass to enter_notify_event and leave_notify_event for the guiEvent:

    def leave_notify_event(self, guiEvent=None):
        """
        Backend derived classes should call this function when leaving
        canvas

        *guiEvent*
            the native UI event that generated the mpl event

        """

What are the requirements for guiEvent? If I call leave_notify_event without guiEvent, so guiEvent = None, then the example gives me the following error:

enter_figure Figure(640x480)
leave_figure
Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/backend_bases.py", line 1416, in leave_notify_event
    self.callbacks.process('figure_leave_event', LocationEvent.lastevent)
  File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/matplotlib/cbook.py", line 169, in process
    func(*args, **kwargs)
  File "test.py", line 23, in leave_figure
    print 'leave_figure', event.canvas.figure
AttributeError: 'NoneType' object has no attribute 'canvas'


So I guess I should pass some type of event object to enter|leave_notify_event.

--Michiel.

--- On Sun, 2/14/10, David Arnold <dwa...@su...> wrote:

> From: David Arnold <dwa...@su...>
> Subject: Re: [Matplotlib-users] Enter Figure on Macs
> To: "John Hunter" <jd...@gm...>
> Cc: "Michiel de Hoon" <mjl...@ya...>, mat...@li...
> Date: Sunday, February 14, 2010, 11:50 PM
> John,
> 
> Only the wxagg worked. Here is the output:
> 
> $HOME=/Users/darnold
> CONFIGDIR=/Users/darnold/.matplotlib
> matplotlib data path
> /Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/matplotlib/mpl-data
> loaded rc file /Users/darnold/.matplotlib/matplotlibrc
> matplotlib version 0.99.1.1
> verbose.level helpful
> interactive is False
> units is False
> platform is darwin
> Using fontManager instance from
> /Users/darnold/.matplotlib/fontList.cache
> backend WXAgg version 2.8.10.1
> findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
> to Bitstream Vera Sans
> (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.000000
> findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0
> to Bitstream Vera Sans
> (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.000000
> enter_figure Figure(640x480)
> leave_figure Figure(640x480)
> enter_figure Figure(640x480)
> leave_figure Figure(640x480)
> enter_figure Figure(640x480)
> leave_figure Figure(640x480)
> enter_figure Figure(640x480)
> enter_axes Axes(0.125,0.536364;0.775x0.363636)
> leave_axes Axes(0.125,0.536364;0.775x0.363636)
> enter_axes Axes(0.125,0.1;0.775x0.363636)
> leave_axes Axes(0.125,0.1;0.775x0.363636)
> leave_figure Figure(640x480)
> 
> 
> Did not work with macosx:
> 
> $HOME=/Users/darnold
> CONFIGDIR=/Users/darnold/.matplotlib
> matplotlib data path
> /Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/matplotlib/mpl-data
> loaded rc file /Users/darnold/.matplotlib/matplotlibrc
> matplotlib version 0.99.1.1
> verbose.level helpful
> interactive is False
> units is False
> platform is darwin
> Using fontManager instance from
> /Users/darnold/.matplotlib/fontList.cache
> backend MacOSX version unknown
> enter_axes Axes(0.125,0.536364;0.775x0.363636)
> leave_axes Axes(0.125,0.536364;0.775x0.363636)
> enter_axes Axes(0.125,0.1;0.775x0.363636)
> leave_axes Axes(0.125,0.1;0.775x0.363636)
> enter_axes Axes(0.125,0.1;0.775x0.363636)
> leave_axes Axes(0.125,0.1;0.775x0.363636)
> enter_axes Axes(0.125,0.536364;0.775x0.363636)
> leave_axes Axes(0.125,0.536364;0.775x0.363636)
> enter_axes Axes(0.125,0.1;0.775x0.363636)
> leave_axes Axes(0.125,0.1;0.775x0.363636)
> 
> 
> Did not work with tkagg:
> 
> $HOME=/Users/darnold
> CONFIGDIR=/Users/darnold/.matplotlib
> matplotlib data path
> /Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/matplotlib/mpl-data
> loaded rc file /Users/darnold/.matplotlib/matplotlibrc
> matplotlib version 0.99.1.1
> verbose.level helpful
> interactive is False
> units is False
> platform is darwin
> Using fontManager instance from
> /Users/darnold/.matplotlib/fontList.cache
> backend TkAgg version 8.4
> findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
> to Bitstream Vera Sans
> (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.000000
> findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0
> to Bitstream Vera Sans
> (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.000000
> enter_axes Axes(0.125,0.536364;0.775x0.363636)
> leave_axes Axes(0.125,0.536364;0.775x0.363636)
> enter_axes Axes(0.125,0.1;0.775x0.363636)
> leave_axes Axes(0.125,0.1;0.775x0.363636)
> enter_axes Axes(0.125,0.536364;0.775x0.363636)
> leave_axes Axes(0.125,0.536364;0.775x0.363636)
> enter_axes Axes(0.125,0.1;0.775x0.363636)
> leave_axes Axes(0.125,0.1;0.775x0.363636)
> 
> 
> 
> On Feb 14, 2010, at 7:50 PM, John Hunter wrote:
> 
> > On Sun, Feb 14, 2010 at 6:53 PM, David Arnold <dwa...@su...>
> wrote:
> >> All,
> >> 
> >> Any Mac users out there? This script from the User
> Guide does not seem to recognize entering or leaving a
> figure. Any thoughts?
> > 
> > My Mac is currently dead, but I developed these events
> while I was a
> > mac user and so am pretty sure they worked.  It
> is more likely a
> > specific backend problem than a Mac vs non-Mac problem
> (eg it may be
> > specific to the macosx backend but not a problem for
> macs in general)
> > 
> >  http://matplotlib.sourceforge.net/faq/installing_faq.html#what-is-a-backend
> > 
> > Could you try running the script with the "use"
> directive at the top
> > of your script (before any other mpl code) for
> different backends, eg
> > tkagg vs macosx vs wxagg
> > 
> >  import matplotlib
> >  matplotlib.use('tkagg')  # and also try
> macosx and wxagg
> > 
> > so we can see exactly where the problem is
> arising.  Also, run your
> > script with --verbose-helpful and report the debugging
> output.
> > Looking at the code, it appears the enter_notify_event
> and
> > leave_notify_event are only defined for wx, qt and gtk
> currently, and
> > so need to be implemented for tk and macosx.
> > 
> > JDH
> 
> 


      

On 02/12/2010 07:49 PM, Eric Firing wrote:
> Philipp Lies wrote:
>> Hi,
>>
>> is there a backend that supports 16bit tiff images?
>
> Can you just use png, and use the netpbm utilities or ImageMagick
> convert program to go to and from tiff?
Would be 'dirty' but acceptable if matplotlib would support saving 
uncompressed grayscale uint16 png files. But saving  nxm uint16 arrays 
leads to nxmx3 float arrays which do not even closely resemble my 
original data.
Example:
A
array([[47705, 11865,   739, 16941, 37700],
        [64321, 26860, 49945, 63556, 13498],
        [ 2676,  7720,  5995, 22399, 32735],
        [56577, 34443,  6636, 23409, 61331],
        [ 1020, 26013, 34677, 37262, 36136]], dtype=uint16)
imsave('t.png',A)
B = imread('t.png')
B[:,:,0]

array([[ 1.,  0.,  0.,  0.,  0.74117649],
        [ 0.49803922,  0.19607843,  1.,  0.5529412 ,  0. ],
        [ 0.,  0.,  0.,  0.,  0.48627451],
        [ 1.,  0.57647061,  0.,  0.01960784,  0.71372551],
        [ 0.,  0.14509805,  0.58823532,  0.72941178,  0.66666669]], 
dtype=float32)


>> According to the website GDK supports tiff but that's wrong:
>>
>> >>>import matplotlib
>> >>>matplotlib.use('GDK')
>> >>>import matplotlib.pyplot as pyplot
>> >>>pyplot.imsave(arr=X, fname='test.tif')
>> Traceback (most recent call last):
>> File "<stdin>", line 1, in <module>
>> File "/usr/lib/pymodules/python2.6/matplotlib/pyplot.py", line 1425,
>> in imsave
>> return _imsave(*args, **kwargs)
>> File "/usr/lib/pymodules/python2.6/matplotlib/image.py", line 813, in
>> imsave
>> fig.savefig(fname, dpi=1, format=format)
>> File "/usr/lib/pymodules/python2.6/matplotlib/figure.py", line 1033,
>> in savefig
>> self.canvas.print_figure(*args, **kwargs)
>> File "/usr/lib/pymodules/python2.6/matplotlib/backend_bases.py", line
>> 1420, in print_figure
>> '%s.' % (format, ', '.join(formats)))
>> ValueError: Format "tif" is not supported.
>> Supported formats: emf, eps, pdf, png, ps, raw, rgba, svg, svgz.
>> >>>matplotlib.backends.backend
>> 'gdk'
>>
>> matplotlib 0.99.0 python 2.6.4 ubuntu karmic x64
>>
>> If matplotlib cannot provide tiff support, does someone know an
>> alternative? PIL doesn't work either, at least not intuitively.
>>
>> Cheers
>>
>> Philipp
>>
>

-- 
Philipp Lies

Max Planck Institute for Biological Cybernetics
Computational Vision & Neuroscience Group
Spemannstr. 41
D-72076 Tuebingen
Germany

Phone:  +49-7071-601-1788
Fax:    +49-7071-601-552
E-Mail: phi...@tu...
http://www.kyb.mpg.de/bethgegroup

On Mon, Feb 15, 2010 at 6:50 AM, Michiel de Hoon <mjl...@ya...> wrote:
> I almost have a solution for this for the Mac OS X backend. I am stuck though at what I should pass to enter_notify_event and leave_notify_event for the guiEvent:
>
>    def leave_notify_event(self, guiEvent=None):
>        """
>        Backend derived classes should call this function when leaving
>        canvas
>
>        *guiEvent*
>            the native UI event that generated the mpl event
>
>        """
>
> What are the requirements for guiEvent? If I call leave_notify_event without guiEvent, so guiEvent = None, then the example gives me the following error:

we don't make any assumptions about what kind of object the gui event
is.  We provide the GUI event because sometimes when using a specific
backend, the user wants to drill into the GUI native event (eg a
button press event) but we don't use it anywhere in the mpl frontend
because this would break the abstraction.  So if you have some event
that is being fired at the UI level on figure enter, pass that in.

It looks like you may be having a problem because the
leave_notify_event is getting called more than once, or is called for
a figure that has not been entered.  Check the logic in
backend_bases.FigureCanvasBase.leave_notify_event


    def leave_notify_event(self, guiEvent=None):
        """
        Backend derived classes should call this function when leaving
        canvas

        *guiEvent*
            the native UI event that generated the mpl event

        """
        self.callbacks.process('figure_leave_event', LocationEvent.lastevent)
        LocationEvent.lastevent = None


It looks like your figure_leave_event is being triggered with
LocationEvent.lastevent = None (so it is not a problem with your
guiEvent).  This could happen if a leave event was processed *before*
and enter event (which sets the lastevent), or if a leave event was
processed twice.

Hopefully this will help you drill down into the source of the problem

JDH

> cb.ax.set_yticklabels((r'$-\pi$', '0', r'$\pi$'))

Works like a charm. Thanks!

--Nico

Hi,

I see that with imsave() it's possible to save an image based on its
cmap. Is there also functionality in matplotlib to to store a file
based on RGB(alpha) information?

Cheers,
Nico

Hi Jeff,

thanks for your quick reply.
Unfortunately, the line you sent me doesn't have any effect on the plot,
either before or after turning off the tick labels.

Do you have another suggestion?

Cheers,
    Jan

On Sun, Feb 14, 2010 at 11:28 PM, Jeffrey Blackburne <je...@mi...> wrote:

>
> On Feb 14, 2010, at 5:41 PM, Jan Strube wrote:
>
>  Dear matplotters,
>>
>> I'm trying to follow
>> http://matplotlib.sourceforge.net/examples/pylab_examples/
>> ganged_plots.html
>> as an example how to turn of the ticks in the case of shared x axes.
>> The tick labels are gone, but unfortunately, matplotlib still plots a
>> '1e5' on the axis for which I have turned off the tick labels.
>> Please see the attached file for the problem
>>
>> How can I also switch of the exponent?
>>
>> Thanks,
>>    Jan
>>
>
>
> Try this:
>
> ax.xaxis.set_major_formatter(mpl.ticker.ScalarFormatter(useOffset=False))
>
> where 'ax' is the name of the top subplot.
>
> Good luck,
> Jeff
>
>

Hi Jeff,

thanks for your quick reply.
Unfortunately, the line you sent me doesn't have any effect on the plot,
either before or after turning off the tick labels.

Do you have another suggestion?

Cheers,
    Jan

On Sun, Feb 14, 2010 at 11:28 PM, Jeffrey Blackburne <je...@mi...> wrote:

>
> On Feb 14, 2010, at 5:41 PM, Jan Strube wrote:
>
>  Dear matplotters,
>>
>> I'm trying to follow
>> http://matplotlib.sourceforge.net/examples/pylab_examples/
>> ganged_plots.html
>> as an example how to turn of the ticks in the case of shared x axes.
>> The tick labels are gone, but unfortunately, matplotlib still plots a
>> '1e5' on the axis for which I have turned off the tick labels.
>> Please see the attached file for the problem
>>
>> How can I also switch of the exponent?
>>
>> Thanks,
>>    Jan
>>
>
>
> Try this:
>
> ax.xaxis.set_major_formatter(mpl.ticker.ScalarFormatter(useOffset=False))
>
> where 'ax' is the name of the top subplot.
>
> Good luck,
> Jeff
>
>

Hi,
thanks for the suggestion.

> ax.set_xticks((-pi,pi))
> ax.set_xticklabels(('$-\pi$','$\pi$'))

I guess color bars are a little special in the sense that

   AttributeError: Colorbar instance has no attribute 'set_yticklabels'

The tick positions are given not by set_yticks either, but as an option

   pylab.colorbar(ticks=(-pi,0,pi))

at the instatiation of the bar. It would indeed be very handy if the
bars acted like axes.

Cheers,
Nico

Most of the plots I need to make for work have very different x and y axis
scales, and under these conditions, the pyplot.arrow function (which I think
is a FancyArrow) makes arrows where the heads are pretty distorted. (MPL
version 0.99.1 -- Windows; version 0.99.1.1-r1 -- Gentoo)

I've spent quite a bit of time learning about the different arrow classes --
FancyArrow, YAArrow, FancyArrowPatch -- and I've found that the
FancyArrowPatch gives arrows that do not look distorted under these
conditions. For examples:

import matplotlib.pyplot as plt
import matplotlib.patches as mpp
fig = plt.figure()
ax=fig.add_subplot(111)
ax.axis([520,580, 0,0.2])
a = plt.arrow(550,0.06,15,0.1, width=0.01, head_length=1.)
ax.add_patch(a)
b = mpp.YAArrow(fig, (555,0.16), (540,0.06), width=0.01, headwidth=0.03)
ax.add_patch(b)
c = mpp.FancyArrowPatch((530,0.06), (545,0.16), arrowstyle='-|>', lw=2,
mutation_scale=50)
ax.add_patch(c)
plt.show()

However, this leads to my questions:

1) Are there any plans or would it make sense to add another keyword to the
pyplot.arrow function that allows you to choose the arrow class you would
like to use? The default could be FancyArrow so that the original usage of
pyplot.arrow will not be affected. The axes.arrow function - which it looks
like it gets called by the pyplot.arrow function - could then convert the
input arguments into the form necessary for the class you choose.

2) Or... Is there a simple way that you can call the arrow function with
start and end points in data coordinates, but have the arrow parameters
calculated in normalized figure coordinates? I think FancyArrow calculates
the head and body points using a line perpendicular to the line of the arrow
in data coordinates, which I think is the source of my problem (? -- at
least that is what I found doing some test calculations on my own). However,
if I call the pyplot.arrow function with the following keywords,
'trasform=fig.transFigure, figure=fig' (as per the Artist tutorial, see
below), then the arrow looks okay, but it needs to be positioned in
normalized figure coordinates and it does not move when you zoom or
translate the plot.

d = plt.arrow(0.15, 0.3, 0.15, 0.4, head_width=0.05,
transform=fig.transFigure, figure=fig)
ax.add_patch(d)

For me, this is not a really big concern now that I figured it out, but I'm
trying to teach my coworkers how to use Python/Matplotlib, and although they
are interested in learning both, most of them are not and probably never
will be really strong Python programmers. As a consequence, I think that all
of the different arrow options and usages outside of pyplot.arrow will be a
bit confusing for them... (I know it was for me at first...)

Sorry for the long question message. I hope it was clear.

Ryan 

P.S. As this is my first message to the list, I wanted to thank everyone who
contributes to this great project. I'm a fairly new Python and Matplotlib
user (only about 7 or 8 months for Python, less for MPL), and the
combination of Python/Numpy/Scipy/Matplotlib is by far the most useful tool
that I've learned in quite a long time. Hopefully, someday I'll be skilled
enough to contribute something back.


-- 
View this message in context: http://old.nabble.com/Arrow-question-request-tp27590334p27590334.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

John,

Only the wxagg worked. Here is the output:

$HOME=/Users/darnold
CONFIGDIR=/Users/darnold/.matplotlib
matplotlib data path /Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/matplotlib/mpl-data
loaded rc file /Users/darnold/.matplotlib/matplotlibrc
matplotlib version 0.99.1.1
verbose.level helpful
interactive is False
units is False
platform is darwin
Using fontManager instance from /Users/darnold/.matplotlib/fontList.cache
backend WXAgg version 2.8.10.1
findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium to Bitstream Vera Sans (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf) with score of 0.000000
findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to Bitstream Vera Sans (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf) with score of 0.000000
enter_figure Figure(640x480)
leave_figure Figure(640x480)
enter_figure Figure(640x480)
leave_figure Figure(640x480)
enter_figure Figure(640x480)
leave_figure Figure(640x480)
enter_figure Figure(640x480)
enter_axes Axes(0.125,0.536364;0.775x0.363636)
leave_axes Axes(0.125,0.536364;0.775x0.363636)
enter_axes Axes(0.125,0.1;0.775x0.363636)
leave_axes Axes(0.125,0.1;0.775x0.363636)
leave_figure Figure(640x480)


Did not work with macosx:

$HOME=/Users/darnold
CONFIGDIR=/Users/darnold/.matplotlib
matplotlib data path /Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/matplotlib/mpl-data
loaded rc file /Users/darnold/.matplotlib/matplotlibrc
matplotlib version 0.99.1.1
verbose.level helpful
interactive is False
units is False
platform is darwin
Using fontManager instance from /Users/darnold/.matplotlib/fontList.cache
backend MacOSX version unknown
enter_axes Axes(0.125,0.536364;0.775x0.363636)
leave_axes Axes(0.125,0.536364;0.775x0.363636)
enter_axes Axes(0.125,0.1;0.775x0.363636)
leave_axes Axes(0.125,0.1;0.775x0.363636)
enter_axes Axes(0.125,0.1;0.775x0.363636)
leave_axes Axes(0.125,0.1;0.775x0.363636)
enter_axes Axes(0.125,0.536364;0.775x0.363636)
leave_axes Axes(0.125,0.536364;0.775x0.363636)
enter_axes Axes(0.125,0.1;0.775x0.363636)
leave_axes Axes(0.125,0.1;0.775x0.363636)


Did not work with tkagg:

$HOME=/Users/darnold
CONFIGDIR=/Users/darnold/.matplotlib
matplotlib data path /Library/Frameworks/Python.framework/Versions/6.0.0/lib/python2.6/site-packages/matplotlib/mpl-data
loaded rc file /Users/darnold/.matplotlib/matplotlibrc
matplotlib version 0.99.1.1
verbose.level helpful
interactive is False
units is False
platform is darwin
Using fontManager instance from /Users/darnold/.matplotlib/fontList.cache
backend TkAgg version 8.4
findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium to Bitstream Vera Sans (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf) with score of 0.000000
findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to Bitstream Vera Sans (/Library/Frameworks/Python.framework/Versions/4.3.0/lib/python2.5/site-packages/matplotlib-0.98.5.2n2-py2.5-macosx-10.3-fat.egg/matplotlib/mpl-data/fonts/ttf/Vera.ttf) with score of 0.000000
enter_axes Axes(0.125,0.536364;0.775x0.363636)
leave_axes Axes(0.125,0.536364;0.775x0.363636)
enter_axes Axes(0.125,0.1;0.775x0.363636)
leave_axes Axes(0.125,0.1;0.775x0.363636)
enter_axes Axes(0.125,0.536364;0.775x0.363636)
leave_axes Axes(0.125,0.536364;0.775x0.363636)
enter_axes Axes(0.125,0.1;0.775x0.363636)
leave_axes Axes(0.125,0.1;0.775x0.363636)



On Feb 14, 2010, at 7:50 PM, John Hunter wrote:

> On Sun, Feb 14, 2010 at 6:53 PM, David Arnold <dwa...@su...> wrote:
>> All,
>> 
>> Any Mac users out there? This script from the User Guide does not seem to recognize entering or leaving a figure. Any thoughts?
> 
> My Mac is currently dead, but I developed these events while I was a
> mac user and so am pretty sure they worked.  It is more likely a
> specific backend problem than a Mac vs non-Mac problem (eg it may be
> specific to the macosx backend but not a problem for macs in general)
> 
>  http://matplotlib.sourceforge.net/faq/installing_faq.html#what-is-a-backend
> 
> Could you try running the script with the "use" directive at the top
> of your script (before any other mpl code) for different backends, eg
> tkagg vs macosx vs wxagg
> 
>  import matplotlib
>  matplotlib.use('tkagg')  # and also try macosx and wxagg
> 
> so we can see exactly where the problem is arising.  Also, run your
> script with --verbose-helpful and report the debugging output.
> Looking at the code, it appears the enter_notify_event and
> leave_notify_event are only defined for wx, qt and gtk currently, and
> so need to be implemented for tk and macosx.
> 
> JDH