matplotlib-users Mailing List for matplotlib

The problems with animations on Mac
are not so much related to the backend,
but to the animations code itself. Animations
with the MacOSX backend cannot be fixed
without redesigning the animations module.
Best,
-Michiel.
--------------------------------------------
On Thu, 3/13/14, Ryan May <rm...@gm...> wrote:
 Subject: Re: [Matplotlib-users] Animate on Mac O$
 To: "Christophe Bal" <pro...@gm...>
 Cc: "Matplotlib" <mat...@li...>
 Date: Thursday, March 13, 2014, 5:54 PM
 
 On Thu, Mar 13, 2014 at 2:34
 AM, Christophe Bal <pro...@gm...>
 wrote:
 
 
 Hello,is there any hope that the problems
 with animate will be fixed for Mac users
 ?
 
 
 The only problem I'm aware of for Mac OSX is
 with blitting; blitting is purely a performance
 optimization, so animations themselves should work
 fine.
 Is there something else I'm missing?
 
 
 Ryan
 -- 
 Ryan May
 Graduate Research Assistant
 School of Meteorology
 University of Oklahoma
 
 
 -----Inline Attachment Follows-----
 
 ------------------------------------------------------------------------------
 Learn Graph Databases - Download FREE O'Reilly Book
 "Graph Databases" is the definitive new guide to graph
 databases and their
 applications. Written by three acclaimed leaders in the
 field,
 this first edition is now available. Download your free book
 today!
 http://p.sf.net/sfu/13534_NeoTech
 -----Inline Attachment Follows-----
 
 _______________________________________________
 Matplotlib-users mailing list
 Mat...@li...
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users
 

On Thu, Mar 13, 2014 at 2:34 AM, Christophe Bal <pro...@gm...> wrote:
> Hello,
> is there any hope that the problems with animate will be fixed for Mac
> users ?
>
The only problem I'm aware of for Mac OSX is with blitting; blitting is
purely a performance optimization, so animations themselves should work
fine.
Is there something else I'm missing?
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

+1 for macports
(I haven't used the others.)
On Mar 13, 2014, at 10:12AM, Felix Patzelt wrote:
> Are you sure that you want to use Python 3.3 on OSX 10.6??? Do you really still use 10.6? Do you want Python 3? I'm not sure on the current status, but many projects took quite a while to get ported over from Python 2. Furthermore, as often with free software, installation can be a bit tricky. It is certainly a very different experience than installing "normal" Mac applications. 
> 
> For a bit of context, most Linux distribution have some version of Python / Matplotlib in their respective package managers. These are easily installed if the particular package manager on your Linux offers the versions you want. Otherwise, you will have to do some work. 
> 
> OSX does not have an official package manager, but there are several inofficial options. I'm using http://www.macports.org which is slow because it installs its own private versions for everything, but it works very well. This is probably the easiest way to get all the open source stuff you want on your Mac and I use it a lot. Another popular and more lightweight package manager is homebrew, which relies more on the system libraries from Apple.
> 
> The minimal installation instructions without a package manager seem to be these: https://github.com/rueckstiess/mtools/wiki/matplotlib-Installation-Guide If you're a real unix hacker, you can install everything from source. I did that before, and it takes a lot of time and in-depth knowledge. 
> 
> Finally, there are several pre-packaged distributions like https://www.enthought.com or https://store.continuum.io/cshop/anaconda/ (see http://penandpants.com/install-python/). They might come with a normal OSX installer. Maybe https://code.google.com/p/spyderlib/ does the trick for you? 
> 
> Anyway, these are just some suggestions. Maybe you want to start a separate thread on the mailing list about the best way to install matplotlib on a mac. Please note that I cannot comment in detail on any of the installation methods that I didn't use myself.
> 
> 
> 
> 
> Am 13.03.2014 um 17:36 schrieb Christophe Bal <pro...@gm...>:
> 
>> I've tested a more simpler Python code.
>> 
>> from pylab import *
>> plot([1,2,3])
>> show()
>> 
>> This gives me a scary backend MacOSX version unknown. I've used the official DMG installer matplotlib-1.3.1-py3.3-python.org-macosx10.6.dmg. 
>> 
>> This seems to be a big problem. No ?
>> 
>> 
>> $HOME=/Users/xxxx
>> matplotlib data path /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/mpl-data
>> loaded rc file /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/mpl-data/matplotlibrc
>> matplotlib version 1.3.1
>> verbose.level helpful
>> interactive is False
>> platform is darwin
>> CACHEDIR=/Users/xxxx/.matplotlib
>> Using fontManager instance from /Users/xxxx/.matplotlib/fontList.py3k.cache
>> backend MacOSX version unknown
>> 
>> 
>> 2014年03月13日 17:31 GMT+01:00 Felix Patzelt <fe...@ne...>:
>> Well, there is a list in ~/.matplotlib/matplotlibrc (see http://matplotlib.org/users/customizing.html)
>> 
>>> #### CONFIGURATION BEGINS HERE
>>> 
>>> # the default backend; one of GTK GTKAgg GTKCairo CocoaAgg FltkAgg
>>> # MacOSX QtAgg Qt4Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG Template
>>> # You can also deploy your own backend outside of matplotlib by
>>> # referring to the module name (which must be in the PYTHONPATH) as
>>> # 'module://my_backend'
>>> backend : Qt4Agg
>> 
>> see also: http://stackoverflow.com/questions/5091993/list-of-all-available-matplotlib-backends
>> 
>> I'm not sure about the dependencies, I guess you have to check out each one of them. If you don't use a package manager, resolving all dependency issues might be quite painful.
>> 
>> Best,
>> Felix Patzelt
>> 
>> Am 13.03.2014 um 17:18 schrieb Christophe Bal <pro...@gm...>:
>> 
>>> Thanks a lot for this big hint but neither TkAgg works nor Qt4Agg can work (because I do not have PyQt). 
>>> 
>>> Is there a complete list of all the backends ?
>>> 
>>> Christophe BAL
>>> 
>> 
>> 
> 
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Are you sure that you want to use Python 3.3 on OSX 10.6??? Do you really still use 10.6? Do you want Python 3? I'm not sure on the current status, but many projects took quite a while to get ported over from Python 2. Furthermore, as often with free software, installation can be a bit tricky. It is certainly a very different experience than installing "normal" Mac applications. 
For a bit of context, most Linux distribution have some version of Python / Matplotlib in their respective package managers. These are easily installed if the particular package manager on your Linux offers the versions you want. Otherwise, you will have to do some work. 
OSX does not have an official package manager, but there are several inofficial options. I'm using http://www.macports.org which is slow because it installs its own private versions for everything, but it works very well. This is probably the easiest way to get all the open source stuff you want on your Mac and I use it a lot. Another popular and more lightweight package manager is homebrew, which relies more on the system libraries from Apple.
The minimal installation instructions without a package manager seem to be these: https://github.com/rueckstiess/mtools/wiki/matplotlib-Installation-Guide If you're a real unix hacker, you can install everything from source. I did that before, and it takes a lot of time and in-depth knowledge. 
Finally, there are several pre-packaged distributions like https://www.enthought.com or https://store.continuum.io/cshop/anaconda/ (see http://penandpants.com/install-python/). They might come with a normal OSX installer. Maybe https://code.google.com/p/spyderlib/ does the trick for you? 
Anyway, these are just some suggestions. Maybe you want to start a separate thread on the mailing list about the best way to install matplotlib on a mac. Please note that I cannot comment in detail on any of the installation methods that I didn't use myself.
Am 13.03.2014 um 17:36 schrieb Christophe Bal <pro...@gm...>:
> I've tested a more simpler Python code.
> 
> from pylab import *
> plot([1,2,3])
> show()
> 
> This gives me a scary backend MacOSX version unknown. I've used the official DMG installer matplotlib-1.3.1-py3.3-python.org-macosx10.6.dmg. 
> 
> This seems to be a big problem. No ?
> 
> 
> $HOME=/Users/xxxx
> matplotlib data path /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/mpl-data
> loaded rc file /Library/Frameworks/Python.framework/Versions/3.3/lib/python3.3/site-packages/matplotlib/mpl-data/matplotlibrc
> matplotlib version 1.3.1
> verbose.level helpful
> interactive is False
> platform is darwin
> CACHEDIR=/Users/xxxx/.matplotlib
> Using fontManager instance from /Users/xxxx/.matplotlib/fontList.py3k.cache
> backend MacOSX version unknown
> 
> 
> 2014年03月13日 17:31 GMT+01:00 Felix Patzelt <fe...@ne...>:
> Well, there is a list in ~/.matplotlib/matplotlibrc (see http://matplotlib.org/users/customizing.html)
> 
>> #### CONFIGURATION BEGINS HERE
>> 
>> # the default backend; one of GTK GTKAgg GTKCairo CocoaAgg FltkAgg
>> # MacOSX QtAgg Qt4Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG Template
>> # You can also deploy your own backend outside of matplotlib by
>> # referring to the module name (which must be in the PYTHONPATH) as
>> # 'module://my_backend'
>> backend : Qt4Agg
> 
> see also: http://stackoverflow.com/questions/5091993/list-of-all-available-matplotlib-backends
> 
> I'm not sure about the dependencies, I guess you have to check out each one of them. If you don't use a package manager, resolving all dependency issues might be quite painful.
> 
> Best,
> Felix Patzelt
> 
> Am 13.03.2014 um 17:18 schrieb Christophe Bal <pro...@gm...>:
> 
>> Thanks a lot for this big hint but neither TkAgg works nor Qt4Agg can work (because I do not have PyQt). 
>> 
>> Is there a complete list of all the backends ?
>> 
>> Christophe BAL
>> 
> 
> 

Well, there is a list in ~/.matplotlib/matplotlibrc (see http://matplotlib.org/users/customizing.html)
> #### CONFIGURATION BEGINS HERE
> 
> # the default backend; one of GTK GTKAgg GTKCairo CocoaAgg FltkAgg
> # MacOSX QtAgg Qt4Agg TkAgg WX WXAgg Agg Cairo GDK PS PDF SVG Template
> # You can also deploy your own backend outside of matplotlib by
> # referring to the module name (which must be in the PYTHONPATH) as
> # 'module://my_backend'
> backend : Qt4Agg
see also: http://stackoverflow.com/questions/5091993/list-of-all-available-matplotlib-backends
I'm not sure about the dependencies, I guess you have to check out each one of them. If you don't use a package manager, resolving all dependency issues might be quite painful.
Best,
Felix Patzelt
Am 13.03.2014 um 17:18 schrieb Christophe Bal <pro...@gm...>:
> Thanks a lot for this big hint but neither TkAgg works nor Qt4Agg can work (because I do not have PyQt). 
> 
> Is there a complete list of all the backends ?
> 
> Christophe BAL
> 

Oops, you are correct. Copy-paste error. I did actually see the blinking boxes with the TkAgg backend.
Jeroen
On 13 Mar 2014, at 16:08, Joe Kington <jof...@gm...> wrote:
> That should be `matplotlib.use('TkAgg')`, not "Agg". Agg is a non-interactive backend, while TkAgg is an interactive Tkinter wrapper around the Agg backend.
> 
> 
> On Thu, Mar 13, 2014 at 9:53 AM, Jeroen Hegeman <jer...@gm...> wrote:
> Hi Christophe,
> 
> This is (I think) a known limitation of the OS X backend. One way around this is to use another backend. Which backends are available depends on how your matplotlib was built. (And unfortunately I don’t know how to figure out which ones are available, apart from trying.) In my case (matplotlib from homebrew on OS X 10.9.2) the TkAgg backend works.
> 
> To use the TkAgg backend insert these two lines:
> import matplotlib
> matplotlib.use('Agg’)
> before the line
> import matplotlib.pyplot as plt
> 
> I hope that helps.
> 
> Best regards,
> Jeroen
> 
> 
> On 13 Mar 2014, at 15:33, Christophe Bal <pro...@gm...> wrote:
> 
> > Hello,
> > I'm a little disappointed by the following test program coming from this post.
> >
> > What are the technical reasons that make fail the following code under Mac O$ ?
> >
> > Best regards.
> > Christophe BAL
> >
> > ---- TEST ---
> >
> > from random import randint,
> > choice
> >
> > import
> > time
> >
> > import matplotlib.pyplot as
> > plt
> >
> > import matplotlib.patches as
> > mpatches
> >
> > back_color
> > = "black"
> >
> > colors
> > = ['red', 'green', 'cyan', 'yellow']
> >
> > width
> > , height = 16, 16
> >
> >
> > fig
> > , ax = plt.subplots()
> >
> > ax
> > .set(xlim=[0, width], ylim=[0, height]) # Or use "ax.axis([x0,x1,y0,y1])"
> >
> >
> >
> > # Be sure to draw the canvas once before we start blitting. Otherwise
> > # a) the renderer doesn't exist yet, and b) there's noting to blit onto
> >
> > fig
> > .canvas.draw()
> >
> >
> >
> > def update():
> >
> > x
> > = randint(0, width - 1)
> >
> > y
> > = randint(0, height - 1)
> >
> >
> > rect
> > = mpatches.Rectangle(
> >
> >
> > (x, y), 1, 1,
> >
> > facecolor
> > = choice(colors),
> >
> > edgecolor
> > =
> > back_color
> >
> > )
> >
> > ax
> > .add_artist(rect)
> >
> >
> > start
> > = time.time()
> >
> > ax
> > .draw_artist(rect)
> >
> > fig
> > .canvas.blit(ax.bbox)
> >
> >
> > print("draw >>>", time.time() - start)
> >
> >
> > timer
> > = fig.canvas.new_timer(interval=1)
> >
> > timer
> > .add_callback(update)
> >
> > timer
> > .start()
> >
> >
> > plt
> > .show()
> > ------------------------------------------------------------------------------
> > Learn Graph Databases - Download FREE O'Reilly Book
> > "Graph Databases" is the definitive new guide to graph databases and their
> > applications. Written by three acclaimed leaders in the field,
> > this first edition is now available. Download your free book today!
> > http://p.sf.net/sfu/13534_NeoTech_______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
-- 
Jeroen Hegeman
jeroen DOT hegeman AT gmail DOT com
WARNING: This message may contain classified information. Immediately burn this message after reading.

Jeroen seems to be right. The example runs fine in on my Mac when using the Qt4Agg backend (which is the default in my matplotlibrc file), but crashes when switching to the MacOSX backend. Tested on OS X 10.8.5., Matplotlib from MacPorts.
Best,
Felix
Am 13.03.2014 um 15:53 schrieb Jeroen Hegeman <jer...@gm...>:
> Hi Christophe,
> 
> This is (I think) a known limitation of the OS X backend. One way around this is to use another backend. Which backends are available depends on how your matplotlib was built. (And unfortunately I don’t know how to figure out which ones are available, apart from trying.) In my case (matplotlib from homebrew on OS X 10.9.2) the TkAgg backend works.
> 
> To use the TkAgg backend insert these two lines:
> import matplotlib
> matplotlib.use('Agg’)
> before the line
> import matplotlib.pyplot as plt
> 
> I hope that helps.
> 
> Best regards,
> Jeroen
> 
> 
> On 13 Mar 2014, at 15:33, Christophe Bal <pro...@gm...> wrote:
> 
>> Hello,
>> I'm a little disappointed by the following test program coming from this post.
>> 
>> What are the technical reasons that make fail the following code under Mac O$ ?
>> 
>> Best regards.
>> Christophe BAL
>> 
>> ---- TEST ---
>> 
>> from random import randint,
>> choice
>> 
>> import
>> time
>> 
>> import matplotlib.pyplot as
>> plt
>> 
>> import matplotlib.patches as
>> mpatches
>> 
>> back_color 
>> = "black"
>> 
>> colors 
>> = ['red', 'green', 'cyan', 'yellow']
>> 
>> width
>> , height = 16, 16
>> 
>> 
>> fig
>> , ax = plt.subplots()
>> 
>> ax
>> .set(xlim=[0, width], ylim=[0, height]) # Or use "ax.axis([x0,x1,y0,y1])"
>> 
>> 
>> 
>> # Be sure to draw the canvas once before we start blitting. Otherwise
>> # a) the renderer doesn't exist yet, and b) there's noting to blit onto
>> 
>> fig
>> .canvas.draw()
>> 
>> 
>> 
>> def update():
>> 
>> x 
>> = randint(0, width - 1)
>> 
>> y 
>> = randint(0, height - 1)
>> 
>> 
>> rect 
>> = mpatches.Rectangle(
>> 
>> 
>> (x, y), 1, 1,
>> 
>> facecolor 
>> = choice(colors),
>> 
>> edgecolor 
>> =
>> back_color
>> 
>> )
>> 
>> ax
>> .add_artist(rect)
>> 
>> 
>> start 
>> = time.time()
>> 
>> ax
>> .draw_artist(rect)
>> 
>> fig
>> .canvas.blit(ax.bbox)
>> 
>> 
>> print("draw >>>", time.time() - start)
>> 
>> 
>> timer 
>> = fig.canvas.new_timer(interval=1)
>> 
>> timer
>> .add_callback(update)
>> 
>> timer
>> .start()
>> 
>> 
>> plt
>> .show()
>> ------------------------------------------------------------------------------
>> Learn Graph Databases - Download FREE O'Reilly Book
>> "Graph Databases" is the definitive new guide to graph databases and their
>> applications. Written by three acclaimed leaders in the field,
>> this first edition is now available. Download your free book today!
>> http://p.sf.net/sfu/13534_NeoTech_______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

That should be `matplotlib.use('TkAgg')`, not "Agg". Agg is a
non-interactive backend, while TkAgg is an interactive Tkinter wrapper
around the Agg backend.
On Thu, Mar 13, 2014 at 9:53 AM, Jeroen Hegeman <jer...@gm...>wrote:
> Hi Christophe,
>
> This is (I think) a known limitation of the OS X backend. One way around
> this is to use another backend. Which backends are available depends on how
> your matplotlib was built. (And unfortunately I don't know how to figure
> out which ones are available, apart from trying.) In my case (matplotlib
> from homebrew on OS X 10.9.2) the TkAgg backend works.
>
> To use the TkAgg backend insert these two lines:
> import matplotlib
> matplotlib.use('Agg')
> before the line
> import matplotlib.pyplot as plt
>
> I hope that helps.
>
> Best regards,
> Jeroen
>
>
> On 13 Mar 2014, at 15:33, Christophe Bal <pro...@gm...> wrote:
>
> > Hello,
> > I'm a little disappointed by the following test program coming from this
> post.
> >
> > What are the technical reasons that make fail the following code under
> Mac O$ ?
> >
> > Best regards.
> > Christophe BAL
> >
> > ---- TEST ---
> >
> > from random import randint,
> > choice
> >
> > import
> > time
> >
> > import matplotlib.pyplot as
> > plt
> >
> > import matplotlib.patches as
> > mpatches
> >
> > back_color
> > = "black"
> >
> > colors
> > = ['red', 'green', 'cyan', 'yellow']
> >
> > width
> > , height = 16, 16
> >
> >
> > fig
> > , ax = plt.subplots()
> >
> > ax
> > .set(xlim=[0, width], ylim=[0, height]) # Or use "ax.axis([x0,x1,y0,y1])"
> >
> >
> >
> > # Be sure to draw the canvas once before we start blitting. Otherwise
> > # a) the renderer doesn't exist yet, and b) there's noting to blit onto
> >
> > fig
> > .canvas.draw()
> >
> >
> >
> > def update():
> >
> > x
> > = randint(0, width - 1)
> >
> > y
> > = randint(0, height - 1)
> >
> >
> > rect
> > = mpatches.Rectangle(
> >
> >
> > (x, y), 1, 1,
> >
> > facecolor
> > = choice(colors),
> >
> > edgecolor
> > =
> > back_color
> >
> > )
> >
> > ax
> > .add_artist(rect)
> >
> >
> > start
> > = time.time()
> >
> > ax
> > .draw_artist(rect)
> >
> > fig
> > .canvas.blit(ax.bbox)
> >
> >
> > print("draw >>>", time.time() - start)
> >
> >
> > timer
> > = fig.canvas.new_timer(interval=1)
> >
> > timer
> > .add_callback(update)
> >
> > timer
> > .start()
> >
> >
> > plt
> > .show()
> >
> ------------------------------------------------------------------------------
> > Learn Graph Databases - Download FREE O'Reilly Book
> > "Graph Databases" is the definitive new guide to graph databases and
> their
> > applications. Written by three acclaimed leaders in the field,
> > this first edition is now available. Download your free book today!
> >
> http://p.sf.net/sfu/13534_NeoTech_______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi Christophe,
This is (I think) a known limitation of the OS X backend. One way around this is to use another backend. Which backends are available depends on how your matplotlib was built. (And unfortunately I don’t know how to figure out which ones are available, apart from trying.) In my case (matplotlib from homebrew on OS X 10.9.2) the TkAgg backend works.
To use the TkAgg backend insert these two lines:
 import matplotlib
 matplotlib.use('Agg’)
before the line
 import matplotlib.pyplot as plt
I hope that helps.
Best regards,
Jeroen
On 13 Mar 2014, at 15:33, Christophe Bal <pro...@gm...> wrote:
> Hello,
> I'm a little disappointed by the following test program coming from this post.
> 
> What are the technical reasons that make fail the following code under Mac O$ ?
> 
> Best regards.
> Christophe BAL
> 
> ---- TEST ---
> 
> from random import randint,
> choice
> 
> import
> time
> 
> import matplotlib.pyplot as
> plt
> 
> import matplotlib.patches as
> mpatches
> 
> back_color 
> = "black"
> 
> colors 
> = ['red', 'green', 'cyan', 'yellow']
> 
> width
> , height = 16, 16
> 
> 
> fig
> , ax = plt.subplots()
> 
> ax
> .set(xlim=[0, width], ylim=[0, height]) # Or use "ax.axis([x0,x1,y0,y1])"
> 
> 
> 
> # Be sure to draw the canvas once before we start blitting. Otherwise
> # a) the renderer doesn't exist yet, and b) there's noting to blit onto
> 
> fig
> .canvas.draw()
> 
> 
> 
> def update():
> 
> x 
> = randint(0, width - 1)
> 
> y 
> = randint(0, height - 1)
> 
> 
> rect 
> = mpatches.Rectangle(
> 
> 
> (x, y), 1, 1,
> 
> facecolor 
> = choice(colors),
> 
> edgecolor 
> =
> back_color
> 
> )
> 
> ax
> .add_artist(rect)
> 
> 
> start 
> = time.time()
> 
> ax
> .draw_artist(rect)
> 
> fig
> .canvas.blit(ax.bbox)
> 
> 
> print("draw >>>", time.time() - start)
> 
> 
> timer 
> = fig.canvas.new_timer(interval=1)
> 
> timer
> .add_callback(update)
> 
> timer
> .start()
> 
> 
> plt
> .show()
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hello,
I'm a little disappointed by the following test program coming from this
post <http://stackoverflow.com/a/22380683/1054158>.
What are the technical reasons that make fail the following code under Mac
O$ ?
Best regards.
Christophe BAL
---- TEST ---
from random import randint, choiceimport timeimport matplotlib.pyplot
as pltimport matplotlib.patches as mpatches
back_color = "black"
colors = ['red', 'green', 'cyan', 'yellow']
width, height = 16, 16
fig, ax = plt.subplots()
ax.set(xlim=[0, width], ylim=[0, height]) # Or use "ax.axis([x0,x1,y0,y1])"
# Be sure to draw the canvas once before we start blitting. Otherwise#
a) the renderer doesn't exist yet, and b) there's noting to blit onto
fig.canvas.draw()
def update():
 x = randint(0, width - 1)
 y = randint(0, height - 1)
 rect = mpatches.Rectangle(
 (x, y), 1, 1,
 facecolor = choice(colors),
 edgecolor = back_color
 )
 ax.add_artist(rect)
 start = time.time()
 ax.draw_artist(rect)
 fig.canvas.blit(ax.bbox)
 print("draw >>>", time.time() - start)
timer = fig.canvas.new_timer(interval=1)
timer.add_callback(update)
timer.start()
plt.show()

Dear Diego,
2014年03月13日 14:49 GMT+01:00 diedro <die...@gm...>:
> Dear B.,
> thanks a lot for your replay. I get it.
> What do you think is the measure for "w" and "h". Is the unit of measure
> in pixels?.
>
yes
> What does "fps" stand for?
>
frames per second
Cheers,
Francesco
> Thanks a lot
>
> Diego
>
>
>
> On 12 March 2014 16:05, Benjamin Root-2 [via matplotlib] <[hidden email]<http://user/SendEmail.jtp?type=node&node=43059&i=0>
> > wrote:
>
>> In your options to mencoder, you are specifying the width/height as:
>>
>> >>> 'type=png:w=9800:h=600:fps=0.6',
>>
>> But your PNGs have size of 704x538 pixels. That's why you have black bars
>> on either side of your animation.
>>
>> Cheers!
>> Ben Root
>>
>>
>>
>> On Wed, Mar 12, 2014 at 7:16 AM, diedro <[hidden email]<http://user/SendEmail.jtp?type=node&node=43050&i=0>
>> > wrote:
>>
>>> sorry for that,
>>> I supposed that I was not more in the the first mailing list. When I
>>> post the second one, I realized that I was still in the mailing list
>>>
>>> Regarding the post:
>>> Image Type: png (The PNG image format)
>>> Width: 704 pixels
>>> Height: 538 pixels
>>>
>>> Thanks a lot
>>>
>>> Diego
>>>
>>>
>>>
>>> On 12 March 2014 12:10, Oliver [via matplotlib] <[hidden email]<http://user/SendEmail.jtp?type=node&node=43047&i=0>
>>> > wrote:
>>>
>>>> Please don't double post. Also, this post is much more informative than
>>>> the first, it's much clearer now where the problem is, and it is not
>>>> related to matplotlib at all, but with the options you're passing to
>>>> *mencoder*.
>>>>
>>>> What's the size of your orginal pngs?
>>>>
>>>>
>>>>
>>>> 2014年03月12日 11:58 GMT+01:00 diedro <[hidden email]<http://user/SendEmail.jtp?type=node&node=43046&i=0>
>>>> >:
>>>>
>>>>> Dear all,
>>>>> I have created a video from *.png files. The problem is that my video
>>>>> has
>>>>> black bands on the left and on the right. I have used the following
>>>>> commands:
>>>>>
>>>>> command = ('mencoder',
>>>>> 'mf://*.png',
>>>>> '-mf',
>>>>> 'type=png:w=9800:h=600:fps=0.6',
>>>>> '-ovc',
>>>>> 'lavc',
>>>>> '-lavcopts',
>>>>> 'vcodec=mpeg4',
>>>>> '-oac',
>>>>> 'copy',
>>>>> '-o',
>>>>> 'output.avi')
>>>>>
>>>>> How could I create a video without the black bands.
>>>>>
>>>>> Thank you all,
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> View this message in context:
>>>>> http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045.html
>>>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Learn Graph Databases - Download FREE O'Reilly Book
>>>>> "Graph Databases" is the definitive new guide to graph databases and
>>>>> their
>>>>> applications. Written by three acclaimed leaders in the field,
>>>>> this first edition is now available. Download your free book today!
>>>>> http://p.sf.net/sfu/13534_NeoTech
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43046&i=1>
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>>
>>>> Learn Graph Databases - Download FREE O'Reilly Book
>>>> "Graph Databases" is the definitive new guide to graph databases and
>>>> their
>>>> applications. Written by three acclaimed leaders in the field,
>>>> this first edition is now available. Download your free book today!
>>>> http://p.sf.net/sfu/13534_NeoTech
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43046&i=2>
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>> ------------------------------
>>>> If you reply to this email, your message will be added to the
>>>> discussion below:
>>>>
>>>> http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045p43046.html
>>>> To unsubscribe from video without black bands, click here.
>>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>>
>>>
>>>
>>> ------------------------------
>>> View this message in context: Re: video without black bands<http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045p43047.html>
>>>
>>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Learn Graph Databases - Download FREE O'Reilly Book
>>> "Graph Databases" is the definitive new guide to graph databases and
>>> their
>>> applications. Written by three acclaimed leaders in the field,
>>> this first edition is now available. Download your free book today!
>>> http://p.sf.net/sfu/13534_NeoTech
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43050&i=1>
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>> ------------------------------------------------------------------------------
>>
>> Learn Graph Databases - Download FREE O'Reilly Book
>> "Graph Databases" is the definitive new guide to graph databases and
>> their
>> applications. Written by three acclaimed leaders in the field,
>> this first edition is now available. Download your free book today!
>> http://p.sf.net/sfu/13534_NeoTech
>> _______________________________________________
>> Matplotlib-users mailing list
>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43050&i=2>
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>> ------------------------------
>> If you reply to this email, your message will be added to the
>> discussion below:
>>
>> http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045p43050.html
>> To unsubscribe from video without black bands, click here.
>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>
>
>
> ------------------------------
> View this message in context: Re: video without black bands<http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045p43059.html>
> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>
>
> ------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Dear B.,
thanks a lot for your replay. I get it.
What do you think is the measure for "w" and "h". Is the unit of measure in
pixels?.
What does "fps" stand for?
Thanks a lot
Diego
On 12 March 2014 16:05, Benjamin Root-2 [via matplotlib] <
ml-...@n5...> wrote:
> In your options to mencoder, you are specifying the width/height as:
>
> >>> 'type=png:w=9800:h=600:fps=0.6',
>
> But your PNGs have size of 704x538 pixels. That's why you have black bars
> on either side of your animation.
>
> Cheers!
> Ben Root
>
>
>
> On Wed, Mar 12, 2014 at 7:16 AM, diedro <[hidden email]<http://user/SendEmail.jtp?type=node&node=43050&i=0>
> > wrote:
>
>> sorry for that,
>> I supposed that I was not more in the the first mailing list. When I post
>> the second one, I realized that I was still in the mailing list
>>
>> Regarding the post:
>> Image Type: png (The PNG image format)
>> Width: 704 pixels
>> Height: 538 pixels
>>
>> Thanks a lot
>>
>> Diego
>>
>>
>>
>> On 12 March 2014 12:10, Oliver [via matplotlib] <[hidden email]<http://user/SendEmail.jtp?type=node&node=43047&i=0>
>> > wrote:
>>
>>> Please don't double post. Also, this post is much more informative than
>>> the first, it's much clearer now where the problem is, and it is not
>>> related to matplotlib at all, but with the options you're passing to
>>> *mencoder*.
>>>
>>> What's the size of your orginal pngs?
>>>
>>>
>>>
>>> 2014年03月12日 11:58 GMT+01:00 diedro <[hidden email]<http://user/SendEmail.jtp?type=node&node=43046&i=0>
>>> >:
>>>
>>>> Dear all,
>>>> I have created a video from *.png files. The problem is that my video
>>>> has
>>>> black bands on the left and on the right. I have used the following
>>>> commands:
>>>>
>>>> command = ('mencoder',
>>>> 'mf://*.png',
>>>> '-mf',
>>>> 'type=png:w=9800:h=600:fps=0.6',
>>>> '-ovc',
>>>> 'lavc',
>>>> '-lavcopts',
>>>> 'vcodec=mpeg4',
>>>> '-oac',
>>>> 'copy',
>>>> '-o',
>>>> 'output.avi')
>>>>
>>>> How could I create a video without the black bands.
>>>>
>>>> Thank you all,
>>>>
>>>>
>>>>
>>>> --
>>>> View this message in context:
>>>> http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045.html
>>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Learn Graph Databases - Download FREE O'Reilly Book
>>>> "Graph Databases" is the definitive new guide to graph databases and
>>>> their
>>>> applications. Written by three acclaimed leaders in the field,
>>>> this first edition is now available. Download your free book today!
>>>> http://p.sf.net/sfu/13534_NeoTech
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43046&i=1>
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>>
>>> Learn Graph Databases - Download FREE O'Reilly Book
>>> "Graph Databases" is the definitive new guide to graph databases and
>>> their
>>> applications. Written by three acclaimed leaders in the field,
>>> this first edition is now available. Download your free book today!
>>> http://p.sf.net/sfu/13534_NeoTech
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43046&i=2>
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>> ------------------------------
>>> If you reply to this email, your message will be added to the
>>> discussion below:
>>>
>>> http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045p43046.html
>>> To unsubscribe from video without black bands, click here.
>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>
>>
>>
>> ------------------------------
>> View this message in context: Re: video without black bands<http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045p43047.html>
>>
>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>
>>
>> ------------------------------------------------------------------------------
>> Learn Graph Databases - Download FREE O'Reilly Book
>> "Graph Databases" is the definitive new guide to graph databases and their
>> applications. Written by three acclaimed leaders in the field,
>> this first edition is now available. Download your free book today!
>> http://p.sf.net/sfu/13534_NeoTech
>> _______________________________________________
>> Matplotlib-users mailing list
>> [hidden email] <http://user/SendEmail.jtp?type=node&node=43050&i=1>
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
> ------------------------------------------------------------------------------
>
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech
> _______________________________________________
> Matplotlib-users mailing list
> [hidden email] <http://user/SendEmail.jtp?type=node&node=43050&i=2>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
> ------------------------------
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> below:
>
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> .
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View this message in context: http://matplotlib.1069221.n5.nabble.com/video-without-black-bands-tp43045p43059.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Mar 12, 2014, at 8:41 PM, Caio Sanches <cai...@li...> wrote:
> Hey there!
> I have a mac 10.9 (Mavericks), and I needed matplotlib for a course I was participating.
> I installed python 2.7.6, as requested, and downloaded the installer (dmg) from the sourceforge page.
> I created a simple file, to plot a simple graph, but then it gave me an error (attached as Output.txt).
> I don’t know what to do...
> Please help me.
> Thanks in advance
> -Caio
> <output.txt>------------------------------------------------------------------------------
> Learn Graph Databases - Download FREE O'Reilly Book
> "Graph Databases" is the definitive new guide to graph databases and their
> applications. Written by three acclaimed leaders in the field,
> this first edition is now available. Download your free book today!
> http://p.sf.net/sfu/13534_NeoTech_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Caio,
 Welcome to Python and matplotlib. Unfortunately, we can’t (yet) answer your question. I’m looking at your attached file on a Mac running Mavericks - and as far as I can tell it is completely blank. You have avoided the most common error in posting to a python or python-related list, that is, your query is in plain text (thank you), but when you get an error message, would you please just cut and paste the whole traceback into your e-mail?
Thanks,
Bill

Hello,
is there any hope that the problems with animate will be fixed for Mac
users ?
Christophe BAL

On 2014年03月12日 2:41 PM, Caio Sanches wrote:
> Hey there!
> I have a mac 10.9 (Mavericks), and I needed matplotlib for a course I was participating.
> I installed python 2.7.6, as requested, and downloaded the installer (dmg) from the sourceforge page.
> I created a simple file, to plot a simple graph, but then it gave me an error (attached as Output.txt).
> I don’t know what to do...
> Please help me.
> Thanks in advance
> -Caio
>
The file you attached does not show the error, or the code and data you 
used, so we have no idea what the problem might be.
If you are new to python, then I suggest that you install Anaconda 
https://store.continuum.io/cshop/anaconda/ rather than installing python 
packages like matplotlib one by one.
Second, it sounds like you need to do a bit of background reading, and 
perhaps find someone local to help you get started.
Eric

Hey there!
I have a mac 10.9 (Mavericks), and I needed matplotlib for a course I was participating.
I installed python 2.7.6, as requested, and downloaded the installer (dmg) from the sourceforge page.
I created a simple file, to plot a simple graph, but then it gave me an error (attached as Output.txt).
I don’t know what to do...
Please help me.
Thanks in advance
-Caio

Hey there!
I have a mac 10.9 (Mavericks), and I needed matplotlib for a course I was participating.
I installed python 2.7.6, as requested, and downloaded the installer (dmg) from the sourceforge page.
I created a simple file, to plot a simple graph, but then it gave me an error (attached as Output.txt).
I don’t know what to do...
Please help me.
Thanks in advance
-Caio