Re: [Matplotlib-users] Troubleshooting
On Mar 12, 2014, at 8:41 PM, Caio Sanches caiosanc...@live.com 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 Matplotlib-users@lists.sourceforge.net 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 -- 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] video without black bands
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-node+s1069221n43050...@n5.nabble.com 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=nodenode=43050i=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=nodenode=43047i=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?
2014-03-12 11:58 GMT+01:00 diedro [hidden
email]http://user/SendEmail.jtp?type=nodenode=43046i=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,
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Re: [Matplotlib-users] video without black bands
Dear Diego,
2014-03-13 14:49 GMT+01:00 diedro diego.aves...@gmail.com:
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=nodenode=43059i=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=nodenode=43050i=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=nodenode=43047i=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?
2014-03-12 11:58 GMT+01:00 diedro [hidden
email]http://user/SendEmail.jtp?type=nodenode=43046i=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,
--
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Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use
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 projet...@gmail.com 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()
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Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use
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 jeroen.hege...@gmail.comwrote:
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 projet...@gmail.com 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()
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Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use
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 jeroen.hege...@gmail.com:
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 projet...@gmail.com 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()
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Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use
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 joferking...@gmail.com 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 jeroen.hege...@gmail.com
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 projet...@gmail.com 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()
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message after reading.
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Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use
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 projet...@gmail.com: 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use
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 projet...@gmail.com: 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/ 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//.matplotlib Using fontManager instance from /Users//.matplotlib/fontList.py3k.cache backend MacOSX version unknown 2014-03-13 17:31 GMT+01:00 Felix Patzelt fe...@neuro.uni-bremen.de: 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 projet...@gmail.com: 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Example showing differences between Mac O$ and Windows use
+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 projet...@gmail.com: 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/ 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//.matplotlib Using fontManager instance from /Users//.matplotlib/fontList.py3k.cache backend MacOSX version unknown 2014-03-13 17:31 GMT+01:00 Felix Patzelt fe...@neuro.uni-bremen.de: 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 projet...@gmail.com: 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 Matplotlib-users@lists.sourceforge.net 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
Re: [Matplotlib-users] Animate on Mac O$
On Thu, Mar 13, 2014 at 2:34 AM, Christophe Bal projet...@gmail.com 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 -- 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Animate on Mac O$
On Mar 13, 2014, at 17:55, Michiel de Hoon mjldeh...@yahoo.com wrote: 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. Can you give me a better idea why you think so? I wrote the original and have a Mac now... Ryan -- 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 Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
