matplotlib-users Mailing List for matplotlib

I am able to import matplotlib.pyplt under python 3.3.2 from www.python.org in OS X 10.6.8.  matplotlib 1.2.1, libfreetype and libpng were built from source using gcc 4.2.1 from Xcode 3.2.6.
Are you using python from macports or from www.python.org?  You might try using python from the installer at www.python.org and building libfreetype and libpng from source.  I did a simple

./configure
make
sudo make install

in the libfreetype and libpng source directories.  You can download the latest source from

http://sourceforge.net/projects/libpng/files/libpng16/1.6.2/
http://sourceforge.net/projects/freetype/files/freetype2/2.5.0/

hth,
Scott

On Jul 8, 2013, at 12:17 PM, p.maxted <p.m...@ke...> wrote:

> Trying to install matplotlib-1.2.1 from source, i.e.,
> 
> [macpflm:~/matplotlib-1.2.1] pflm% python3 setup.py install
> 
> Everything seems to run ok, but I cannot import macplotlib:
> 
> [macpflm:~] pflm% python3
> Python 3.3.1 (v3.3.1:d9893d13c628, Apr  6 2013, 11:07:11) 
> [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import matplotlib.pyplot
> Python(16295) malloc: *** error for object 0x101c86820: pointer being freed
> was not allocated
> *** set a breakpoint in malloc_error_break to debug
> Abort
> 
> 
> I tried updating libpng and freetype using macports and re-building, it did
> not solve the problem.
> 
> There are some warnings printed during the build, e.g., 
> 
> ld: warning: in /opt/local/lib/libfreetype.dylib, file was built for
> unsupported file format which is not the architecture being linked (i386)
> ld: warning: in /opt/local/lib/libz.dylib, file was built for unsupported
> file format which is not the architecture being linked (i386)
> ld: warning: in
> /Developer/SDKs/MacOSX10.6.sdk/usr/local/lib/libstdc++.dylib, file was built
> for unsupported file format which is not the architecture being linked
> (i386)
> 
> ..and..
> 
> /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
> warning: #warning "Using deprecated NumPy API, disable it by #defining
> NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
> 
> (both warning several times).
> 
> Some details from the start of the screen output during the build.
> basedirlist is: ['/usr/local/', '/usr', '/usr/X11', '/opt/local']
> ============================================================================
> BUILDING MATPLOTLIB
>            matplotlib: 1.2.1
>                python: 3.3.1 (v3.3.1:d9893d13c628, Apr  6 2013, 11:07:11)
>                        [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]
>              platform: darwin
> 
> REQUIRED DEPENDENCIES
>                 numpy: 1.7.0
>             freetype2: 16.2.10
> 
> OPTIONAL BACKEND DEPENDENCIES
>                libpng: 1.5.16
>               Tkinter: Tkinter: version not identified, Tk: 8.5, Tcl: 8.5
>                  Gtk+: no
>                        * Building for Gtk+ requires pygtk; you must be able
>                        * to "import gtk" in your build/install environment
>       Mac OS X native: yes
>                    Qt: no
>                   Qt4: no
>                PySide: no
>                 Cairo: no
> 
> OPTIONAL DATE/TIMEZONE DEPENDENCIES
>              dateutil: matplotlib will provide
>                  pytz: matplotlib will provide
>                   six: matplotlib will provide
> 
> OPTIONAL USETEX DEPENDENCIES
>                dvipng: 1.5
>           ghostscript: 6.01
>                 latex: 3.141592
> 
> [Edit setup.cfg to suppress the above messages]
> ============================================================================
> 
> Help!
> 
> 
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Install-problems-OSX-10-6-8-Python-3-3-1-tp41430.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.

You could use a single pixel for a marker (','), I guess.  But as you 
say, you need at least two points for a line segment.

Mike

On 07/17/2013 10:45 AM, Gregorio Bastardo wrote:
> Hi,
>
> The following example demonstrates the problem, value 5 could not be
> seen w/o marker:
>
> data = np.arange(10)
> mask = [0,0,0,1,1,0,1,0,0,0]
> x = np.ma.masked_array(data, mask)
> plot(x)
> plot(x, '+')
>
> In my datasets, isolated unmasked values are rare, but placing a
> marker to spot them makes the whole graph cluttered. I do realize that
> at least 2 valid points are needed for a line segment, but still, is
> there any way to visualize these isolated unmasked values w/o a
> marker?
>
> Thanks,
> Gregorio
>
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Hi all,

I'm using a timer object to interact with the MPL event loop on my OS X 
laptop. However, it seems to be missing a few key methods that are 
making using it a little difficult. In particular, I can't find a way to 
stop the timer from sending events:

         $ ipython --pylab

    In [1]: def fun():
        ...:     for i in range(5):
        ...:         print "We're having fun!"; yield
        ...:     for i in range(5):
        ...:         print "Too much fun..."; yield
        ...:     while True:
        ...:         print "Stop the fun! No more!"; yield

    In [2]: f = fun().next

    In [3]: fig = plt.figure()

    In [4]: t = fig.canvas.new_timer()

    In [5]: t.add_callback(f)

    In [6]: t.start()

    In [7]: t.stop()

    In [8]: del t  # It's all over now...


It looks like the stop method may never have been implemented:

    In [3]: t.stop??
    Type:       instancemethod
    String Form:<bound method TimerMac.stop of Timer object 0x106ba33b0
    wrapping CFRunLoopTimerRef 0x0>
    File: /usr/local/lib/python2.7/site-packages/matplotlib/backend_bases.py
    Definition: t.stop(self)
    Source:
         def stop(self):
             '''
             Stop the timer.
             '''
             self._timer_stop()

    In [4]: t._timer_stop??
    Type:       instancemethod
    String Form:<bound method TimerMac._timer_stop of Timer object
    0x106ba33b0 wrapping CFRunLoopTimerRef 0x0>
    File: /usr/local/lib/python2.7/site-packages/matplotlib/backend_bases.py
    Definition: t._timer_stop(self)
    Source:
         def _timer_stop(self):
             pass


I'm able to remove the callback function from the timer's callback list, 
but I suspect that won't stop the events from being triggered. But I'd 
really prefer to completely stop the timer events, since in my 
application I may end up going through many timers.

Is this the expected behavior? Is there an easy fix I'm overlooking?

Version info:

    In [3]: sys.version
    Out[3]: '2.7.3 (default, Feb 19 2013, 18:00:31) \n[GCC 4.2.1
    Compatible Apple LLVM 4.2 (clang-425.0.24)]'

    In [4]: mpl.__version__
    Out[4]: '1.2.0'


Thanks,
Justin

Hi,

The following example demonstrates the problem, value 5 could not be
seen w/o marker:

data = np.arange(10)
mask = [0,0,0,1,1,0,1,0,0,0]
x = np.ma.masked_array(data, mask)
plot(x)
plot(x, '+')

In my datasets, isolated unmasked values are rare, but placing a
marker to spot them makes the whole graph cluttered. I do realize that
at least 2 valid points are needed for a line segment, but still, is
there any way to visualize these isolated unmasked values w/o a
marker?

Thanks,
Gregorio

I have a vague recollection of a similar problem faced by @dopplershift
when he was updating the animation module to pipe a stream to a
mencoder/ffmpeg process on certain Macs.  Maybe this is the same problem?


On Wed, Jul 17, 2013 at 9:18 AM, Michael Droettboom <md...@st...> wrote:

> To debug, it might be helpful to try
>
> ps -p PID -o rss,vsz
>
> (where PID is the process id of an interesting process)
>
> and see what happens.
>
> Mike
>
> On 07/17/2013 02:05 AM, Eric Firing wrote:
> > On 2013/07/16 5:50 PM, K.-Michael Aye wrote:
> >> Hi!
> >>
> >> I have just run an old code that I believe was working before on OSX.
> >> I am trying this with matplotlib 1.2.1 on an OSX EPD running Python
> 2.7.3
> > It works for me with OSX  Mountain Lion and mpl 1.2.1 compiled from
> > source.  I don't think this is fundamentally a problem with
> > cbook.report_memory.
> >
> > Eric
> >
> >>
> >> In [1]: from matplotlib.pylab import *
> >>
> >> In [2]: import matplotlib.cbook as cbook
> >>
> >> In [3]: data = ones((1500,1500,3))
> >>
> >> In [4]: imshow(data)
> >> Out[4]: <matplotlib.image.AxesImage at 0x109d343d0>
> >>
> >> In [5]: ax = gca()
> >>
> >> In [6]: print cbook.report_memory()
> >>
> ---------------------------------------------------------------------------
> >> IOError                                   Traceback (most recent call
> last)
> >> <ipython-input-6-88a73a5ab996> in <module>()
> >> ----> 1 print cbook.report_memory()
> >>
> >>
> /Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py
> >> in report_memory(i)
> >>      1210     elif sys.platform.startswith('darwin'):
> >>      1211         a2 = Popen('ps -p %d -o rss,vsz' % pid, shell=True,
> >> -> 1212                    stdout=PIPE).stdout.readlines()
> >>      1213         mem = int(a2[1].split()[0])
> >>      1214     elif sys.platform.startswith('win'):
> >>
> >> IOError: [Errno 4] Interrupted system call
> >>
> >> First I thought, maybe this doesn't run in IPython for a reason, but
> >> trying it as a script also fails:
> >>
> >> (general_dev+)[maye@lunatic ~/Dropbox/src/pymars]$ python
> imshow_test.py
> >> Traceback (most recent call last):
> >>     File "imshow_test.py", line 7, in <module>
> >>       print cbook.report_memory()
> >>     File
> >>
> "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py",
> >> line 1212, in report_memory
> >>       stdout=PIPE).stdout.readlines()
> >> IOError: [Errno 4] Interrupted system call
> >>
> >>
> >> Is this cbook recipe maybe broken?
> >>
> >> Best,
> >> Michael
> >>
> >>
> >>
> >>
> >>
> ------------------------------------------------------------------------------
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> >>
> >
> >
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>
>
>
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>

To debug, it might be helpful to try

ps -p PID -o rss,vsz

(where PID is the process id of an interesting process)

and see what happens.

Mike

On 07/17/2013 02:05 AM, Eric Firing wrote:
> On 2013/07/16 5:50 PM, K.-Michael Aye wrote:
>> Hi!
>>
>> I have just run an old code that I believe was working before on OSX.
>> I am trying this with matplotlib 1.2.1 on an OSX EPD running Python 2.7.3
> It works for me with OSX  Mountain Lion and mpl 1.2.1 compiled from
> source.  I don't think this is fundamentally a problem with
> cbook.report_memory.
>
> Eric
>
>>
>> In [1]: from matplotlib.pylab import *
>>
>> In [2]: import matplotlib.cbook as cbook
>>
>> In [3]: data = ones((1500,1500,3))
>>
>> In [4]: imshow(data)
>> Out[4]: <matplotlib.image.AxesImage at 0x109d343d0>
>>
>> In [5]: ax = gca()
>>
>> In [6]: print cbook.report_memory()
>> ---------------------------------------------------------------------------
>> IOError                                   Traceback (most recent call last)
>> <ipython-input-6-88a73a5ab996> in <module>()
>> ----> 1 print cbook.report_memory()
>>
>> /Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py
>> in report_memory(i)
>>      1210     elif sys.platform.startswith('darwin'):
>>      1211         a2 = Popen('ps -p %d -o rss,vsz' % pid, shell=True,
>> -> 1212                    stdout=PIPE).stdout.readlines()
>>      1213         mem = int(a2[1].split()[0])
>>      1214     elif sys.platform.startswith('win'):
>>
>> IOError: [Errno 4] Interrupted system call
>>
>> First I thought, maybe this doesn't run in IPython for a reason, but
>> trying it as a script also fails:
>>
>> (general_dev+)[maye@lunatic ~/Dropbox/src/pymars]$ python imshow_test.py
>> Traceback (most recent call last):
>>     File "imshow_test.py", line 7, in <module>
>>       print cbook.report_memory()
>>     File
>> "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py",
>> line 1212, in report_memory
>>       stdout=PIPE).stdout.readlines()
>> IOError: [Errno 4] Interrupted system call
>>
>>
>> Is this cbook recipe maybe broken?
>>
>> Best,
>> Michael
>>
>>
>>
>>
>> ------------------------------------------------------------------------------
>> See everything from the browser to the database with AppDynamics
>> Get end-to-end visibility with application monitoring from AppDynamics
>> Isolate bottlenecks and diagnose root cause in seconds.
>> Start your free trial of AppDynamics Pro today!
>> http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
> ------------------------------------------------------------------------------
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> Get end-to-end visibility with application monitoring from AppDynamics
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Do any Mac experts have any ideas?

One thing that may help us is to fire this up in gdb and get a traceback.

1) Run "gdb python" (or "gdb python3").
2) At the gdb prompt, type "run"
3) At the Python prompt, type "import matplotlib.pyplot"
4) Python should crash, then type "bt" to get a backtrace
5) Post the *complete* backtrace to this list and maybe it will make the 
problem more obvious to us

Mike

On 07/08/2013 12:17 PM, p.maxted wrote:
> Trying to install matplotlib-1.2.1 from source, i.e.,
>
> [macpflm:~/matplotlib-1.2.1] pflm% python3 setup.py install
>
> Everything seems to run ok, but I cannot import macplotlib:
>
> [macpflm:~] pflm% python3
> Python 3.3.1 (v3.3.1:d9893d13c628, Apr  6 2013, 11:07:11)
> [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin
> Type "help", "copyright", "credits" or "license" for more information.
>>>> import matplotlib.pyplot
> Python(16295) malloc: *** error for object 0x101c86820: pointer being freed
> was not allocated
> *** set a breakpoint in malloc_error_break to debug
> Abort
>
>
>   I tried updating libpng and freetype using macports and re-building, it did
> not solve the problem.
>
> There are some warnings printed during the build, e.g.,
>
> ld: warning: in /opt/local/lib/libfreetype.dylib, file was built for
> unsupported file format which is not the architecture being linked (i386)
> ld: warning: in /opt/local/lib/libz.dylib, file was built for unsupported
> file format which is not the architecture being linked (i386)
> ld: warning: in
> /Developer/SDKs/MacOSX10.6.sdk/usr/local/lib/libstdc++.dylib, file was built
> for unsupported file format which is not the architecture being linked
> (i386)
>
> ..and..
>
> /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
> warning: #warning "Using deprecated NumPy API, disable it by #defining
> NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
>
> (both warning several times).
>
> Some details from the start of the screen output during the build.
> basedirlist is: ['/usr/local/', '/usr', '/usr/X11', '/opt/local']
> ============================================================================
> BUILDING MATPLOTLIB
>              matplotlib: 1.2.1
>                  python: 3.3.1 (v3.3.1:d9893d13c628, Apr  6 2013, 11:07:11)
>                          [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)]
>                platform: darwin
>
> REQUIRED DEPENDENCIES
>                   numpy: 1.7.0
>               freetype2: 16.2.10
>
> OPTIONAL BACKEND DEPENDENCIES
>                  libpng: 1.5.16
>                 Tkinter: Tkinter: version not identified, Tk: 8.5, Tcl: 8.5
>                    Gtk+: no
>                          * Building for Gtk+ requires pygtk; you must be able
>                          * to "import gtk" in your build/install environment
>         Mac OS X native: yes
>                      Qt: no
>                     Qt4: no
>                  PySide: no
>                   Cairo: no
>
> OPTIONAL DATE/TIMEZONE DEPENDENCIES
>                dateutil: matplotlib will provide
>                    pytz: matplotlib will provide
>                     six: matplotlib will provide
>
> OPTIONAL USETEX DEPENDENCIES
>                  dvipng: 1.5
>             ghostscript: 6.01
>                   latex: 3.141592
>
> [Edit setup.cfg to suppress the above messages]
> ============================================================================
>
>   Help!
>
>
>
>
>
> --
> View this message in context: http://matplotlib.1069221.n5.nabble.com/Install-problems-OSX-10-6-8-Python-3-3-1-tp41430.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
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This patch doesn't make a whole lot of sense to me.  get_name should 
work just fine if self._family is None, and indeed it does in my own 
testing:

```
from matplotlib import font_manager

f = font_manager.FontProperties(None)
print f._family
print f.get_family()
print f.get_name()
```

So I'd much prefer to get to the bottom of the root cause of this 
problem than patch it unnecessarily in this way.  Any idea what that is?

Mike


On 07/08/2013 10:57 AM, Nicolas Mailhot wrote:
> Hi,
>
> In matplotlib 1.2.1, the  get_name function is not garding against none
> self (unlike other functions); Unfortunately it seems I have a workload
> that makes matplotlib call get_name with None (wasn't the case in 1.2.0).
> I couldn't isolate the exact trigger, when I reduce the volume of data
> processed the problem goes away so I have to simple shareable reproducer.
>
> Anyway, the following patch makes it all work for me, could it (or
> something similar) be merged?
>
> diff -uNr matplotlib-1.2.1.orig/lib/matplotlib/font_manager.py
> matplotlib-1.2.1/lib/matplotlib/font_manager.py
> --- matplotlib-1.2.1.orig/lib/matplotlib/font_manager.py        2013-03-26
> 14:04:37.000000000 +0100
> +++ matplotlib-1.2.1/lib/matplotlib/font_manager.py     2013-07-08
> 14:49:37.791845661 +0200
> @@ -721,6 +721,8 @@
>           Return the name of the font that best matches the font
>           properties.
>           """
> +        if self._family is None:
> +          return rcParams['font.family']
>           return ft2font.FT2Font(str(findfont(self))).family_name
>
>       def get_style(self):
>
> Regards,
>

Can you please provide a completely standalone example?  The following 
code has undefined variables etc.

Mike

On 07/08/2013 10:49 AM, Nicolas Mailhot wrote:
>    subplot.set_xticks([dd.monthstart(m) for m in months])
>    subplot.set_xticks([w.gmticks() for w in weeks], minor=True)
>    subplot.set_xticklabels([])
>    plt.xlim(dd.monthstart(min(months)),dd.monthend(max(months)))
>
>    subplot1 = subplot.twiny()
>    mmonths = [m for i,m in enumerate(months)
>                  if operator.mod(i,1+(len(months)-1)/12) == 0]
>    subplot1.set_xticks([dd.monthmiddle(m) for m in mmonths])
>    subplot1.set_xticklabels(mmonths)
>    subplot1.tick_params(labelsize='6.5',labelbottom=True, labeltop=False)
>    plt.xlim(dd.monthstart(min(months)),dd.monthend(max(months)))
>
>    subplot2 = subplot.twiny()
>    mweeks = [w for i,w in enumerate(weeks)
>                  if operator.mod(i,1+(len(weeks)-1)/53) == 0]
>    subplot2.set_xticks([dd.weekmiddle(w)   for w in mweeks])
>    subplot2.set_xticklabels([w.iso_week[1] for w in mweeks])
>    subplot2.tick_params(labelsize='5',labelbottom=False, labeltop=True,pad=3)
>    plt.xlim(dd.monthstart(min(months)),dd.monthend(max(months)))
>
>    subplot2.xaxis.set_ticks_position('none')
>    subplot1.xaxis.set_ticks_position('none')
>    subplot.xaxis.set_ticks_position('both')

There is nothing available to push points -- matplotlib uses Numpy 
arrays internally for the data, and they can not be (efficiently) 
resized.  I would try implementing this before assuming it's too slow.

Mike

On 07/05/2013 12:02 PM, v0idnull wrote:
> Yes, but this is where I am failing. I don't have the code with me 
> right now but I can explain it:
>
> I get a new number every 2000 milliseconds, and I want to update the 
> graph say, every 50 milliseconds, and keep a minute of history visible 
> in the graph.
>
> So that's 30 x-axis ticks.
>
> But if I want to draw this out smoothly, I need 40 more ticks per 
> update interval. I have five lines I want to show, so every 50ms, 600 
> points need to be plotted out.
>
> Now, my proof of concept code is just working with arrays in a sort of 
> FIFO queue, I haven't actually tried to plug those arrays into 
> matplotlib, but it seems like replotting 600 points is a lot of work.
>
> Maybe I am over reacting? Or is there some feature of matplotlib that 
> allows me to push data onto a plot instead of replotting all points?
>
> I dunno, I'm not confident in my approach. I seek inspiration.
>
> thanks,
> --alex
>
> This means that every 50ms, 600 points need to be updated.
>
> On 13-07-04 05:11 PM, Michael Droettboom wrote:
>> I see -- you want to basically interpolate between points?  I don't 
>> think there's anything built in to matplotlib to do that, but you 
>> could always do that interpolation outside and just update the graph 
>> more often.
>>
>> Mike
>>
>> On 07/04/2013 04:28 PM, v0idnull wrote:
>>> eh....
>>>
>>> Let me explain my problem in a different way:
>>>
>>> Every two seconds I get a value from a service. Let's say I over 8 
>>> seconds I get 1, 5, 10, 5 as values.
>>>
>>> So if my application updates the graph every two seconds, this will 
>>> look choppy and ugly. This is because every two seconds, an entire 
>>> line is added onto the graph between the two points.
>>>
>>> Imagine if I could control the drawing of said line though. If I 
>>> could draw the individual pixels of the line every couple of ticks 
>>> instead of just dumping a line in every two seconds, I will end up 
>>> with a nice smooth animation. It may not be 100% real time anymore, 
>>> but my focus on this personal project of mine is vanity, not 
>>> practicality ;)
>>>
>>> I hope this better explains what I am trying to accomplish...
>>>
>>> Thanks,
>>> --alex
>>>
>>> On 13-07-04 04:09 PM, Michael Droettboom wrote:
>>>> Have you looked at the simple_anim.py example -- other than the 
>>>> networking piece, it seems to do what you describe, and it's pretty 
>>>> fast. Maybe start from that and make changes until it gets slow in 
>>>> order to determine where the slowness comes from...?
>>>>
>>>> Mike
>>>>
>>>> On 07/03/2013 09:19 PM, v0idnull wrote:
>>>>> I am receiving a number from a server every two seconds. I would 
>>>>> like to plot this number.out over time for the past say... 30 polls.
>>>>>
>>>>> Would it be possible to use... Anything, to produce a smooth 
>>>>> animation of the plot line getting drawn? As it stands now the 
>>>>> animation is well... Quite choppy. ;)
>>>>>
>>>>> I'm using pygame currently to render my graphs on this full screen 
>>>>> application I'm making just for my self. I am not bound to it 
>>>>> though if there are better linux-only things out there.
>>>>>
>>>>> Thanks in advance,
>>>>> --alex
>>>>>
>>>>>
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On 2013/07/16 5:50 PM, K.-Michael Aye wrote:
> Hi!
>
> I have just run an old code that I believe was working before on OSX.
> I am trying this with matplotlib 1.2.1 on an OSX EPD running Python 2.7.3

It works for me with OSX  Mountain Lion and mpl 1.2.1 compiled from 
source.  I don't think this is fundamentally a problem with 
cbook.report_memory.

Eric

>
>
> In [1]: from matplotlib.pylab import *
>
> In [2]: import matplotlib.cbook as cbook
>
> In [3]: data = ones((1500,1500,3))
>
> In [4]: imshow(data)
> Out[4]: <matplotlib.image.AxesImage at 0x109d343d0>
>
> In [5]: ax = gca()
>
> In [6]: print cbook.report_memory()
> ---------------------------------------------------------------------------
> IOError                                   Traceback (most recent call last)
> <ipython-input-6-88a73a5ab996> in <module>()
> ----> 1 print cbook.report_memory()
>
> /Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py
> in report_memory(i)
>     1210     elif sys.platform.startswith('darwin'):
>     1211         a2 = Popen('ps -p %d -o rss,vsz' % pid, shell=True,
> -> 1212                    stdout=PIPE).stdout.readlines()
>     1213         mem = int(a2[1].split()[0])
>     1214     elif sys.platform.startswith('win'):
>
> IOError: [Errno 4] Interrupted system call
>
> First I thought, maybe this doesn't run in IPython for a reason, but
> trying it as a script also fails:
>
> (general_dev+)[maye@lunatic ~/Dropbox/src/pymars]$ python imshow_test.py
> Traceback (most recent call last):
>    File "imshow_test.py", line 7, in <module>
>      print cbook.report_memory()
>    File
> "/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py",
> line 1212, in report_memory
>      stdout=PIPE).stdout.readlines()
> IOError: [Errno 4] Interrupted system call
>
>
> Is this cbook recipe maybe broken?
>
> Best,
> Michael
>
>
>
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Hi!

I have just run an old code that I believe was working before on OSX.
I am trying this with matplotlib 1.2.1 on an OSX EPD running Python 2.7.3


In [1]: from matplotlib.pylab import *

In [2]: import matplotlib.cbook as cbook

In [3]: data = ones((1500,1500,3))

In [4]: imshow(data)
Out[4]: <matplotlib.image.AxesImage at 0x109d343d0>

In [5]: ax = gca()

In [6]: print cbook.report_memory()
---------------------------------------------------------------------------
IOError                                   Traceback (most recent call last)
<ipython-input-6-88a73a5ab996> in <module>()
----> 1 print cbook.report_memory()

/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py 
in report_memory(i)
   1210     elif sys.platform.startswith('darwin'):
   1211         a2 = Popen('ps -p %d -o rss,vsz' % pid, shell=True,
-> 1212                    stdout=PIPE).stdout.readlines()
   1213         mem = int(a2[1].split()[0])
   1214     elif sys.platform.startswith('win'):

IOError: [Errno 4] Interrupted system call

First I thought, maybe this doesn't run in IPython for a reason, but 
trying it as a script also fails:

(general_dev+)[maye@lunatic ~/Dropbox/src/pymars]$ python imshow_test.py
Traceback (most recent call last):
  File "imshow_test.py", line 7, in <module>
    print cbook.report_memory()
  File 
"/Library/Frameworks/EPD64.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/cbook.py", 
line 1212, in report_memory
    stdout=PIPE).stdout.readlines()
IOError: [Errno 4] Interrupted system call


Is this cbook recipe maybe broken?

Best,
Michael