[Matplotlib-users] Animation module: every loop takes more and more time

2013-05-29 Thread zetah
Please consider this small script:


import numpy as np
import matplotlib.pyplot as plt
from matplotlib import animation
from time import time

def init():
return ax.cla()

def animate(i):
global t
r = np.random.random(10)
c = np.sin(2 * np.pi * r) * np.vstack(np.cos(2 * np.pi * r))
print(time() - t)
t = time()
return ax.contourf(c)


if __name__ == '__main__':
t = time()
fig = plt.figure()
ax = fig.add_subplot(111)
anim = animation.FuncAnimation(fig, animate, init_func=init,
   frames=100,
   interval=15,
   blit=True)
anim.save('test.mp4', fps=15, extra_args=['-vcodec', 'libx264'])



The output from this script is as follows:


0.2173515
0.375
0.2826485
0.3123624
0.26500010490
0.3126376
0.3586757
0.3286866
0.34399986267
0.375
0.40600013732
0.3913242
0.42200016975
0.46899986267
0.5
0.5163242
0.5
0.5463133
0.5786866
0.57799983024
0.59400010108
0.6086757
0.6413242
0.65599989891
0.7336757
0.71900010108
0.7336757
0.7663242
0.7963133
0.8123624
1.0463134
0.8613351
0.8913242
0.90600013732
0.9213133
0.9213133
1.0
1.1086758
1.0163242
1.03099989891
1.0623624
1.1113351
1.45299983025
1.21900010109
1.3423515
1.3126376
1.35900020599
1.39099979401
1.391049
1.4376376
1.4213134
1.4536866
1.4836758
1.5
1.5
1.54700016975
1.5463134
1.625
1.625
1.625
1.6576485
1.6873624
1.6713134
1.75
1.7336758
1.7336758
1.7826485
1.8123624
1.8286866
1.858951
1.8423515
1.9373624
1.9376376
1.9836758
1.96900010109
2.0463134
2.03099989891
2.03100013733
2.0626376
2.0623624
2.1086758
2.125
2.1713134
2.1413242
2.1873624
2.21900010109
2.2349998951
2.2650001049
2.28100013733
2.28099989891
2.2960381
2.3289619
2.375
2.3586758
2.4213134
2.46900010109
2.4673515
2.48500013351
2.5
2.5163242


So every loops is slower and slower. Now, my original script is more 
complicated, and when it reaches 100th frame the single loop takes half a 
minute to finish compared to half a second after the first loop. Can someone 
suggest what is wrong with the above code, and how to avoid this time 
aggregation on every loop?

Thanks


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Re: [Matplotlib-users] Animation module: every loop takes more and more time

2013-05-29 Thread Benjamin Root
On Wed, May 29, 2013 at 3:03 PM, zetah ot...@hush.ai wrote:

 Please consider this small script:


The init() function only happens once.  So, each call to ax.contourf() just
simply adds more contours on top of the previous (you just don't see them
because you don't have masked regions or transparency).  I would suggest
doing an ax.cla() in the animate() function before doing ax.contourf().

Cheers!
Ben Root
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Re: [Matplotlib-users] Animation module: every loop takes more and more time

2013-05-29 Thread zetah
Benjamin Root wrote:
The init() function only happens once.  So, each call to 
ax.contourf() just
simply adds more contours on top of the previous (you just don't 
see them
because you don't have masked regions or transparency).  I would 
suggest
doing an ax.cla() in the animate() function before doing 
ax.contourf().

It's like you said.
Thanks for assistance :)

Cheers


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[Matplotlib-users] Animation module

2012-02-20 Thread Allen Hathaway
I downloaded the Windows installer and installed matplotlib.  I tried to
run one of the examples from the examples directory - animate_decay -
and got the following error:

 

Traceback (most recent call last):

  File C:\Bin\Python Scripts\plot_decay.py, line 3, in module

import matplotlib.animation as animation

ImportError: No module named animation

 

What did I do wrong?

 

Allen

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Re: [Matplotlib-users] Animation module

2012-02-20 Thread Benjamin Root
On Mon, Feb 20, 2012 at 12:32 PM, Allen Hathaway
ahatha...@autumnharp.comwrote:

 I downloaded the Windows installer and installed matplotlib.  I tried to
 run one of the examples from the examples directory – animate_decay – and
 got the following error:

 ** **

 Traceback (most recent call last):

   File C:\Bin\Python Scripts\plot_decay.py, line 3, in module

 import matplotlib.animation as animation

 ImportError: No module named animation

 ** **

 What did I do wrong?

 ** **

 Allen


Chances are, an older version of matplotlib is still installed.  Clean out
all matplotlib installs and reinstall the current one.  (Note: need v1.1.0
and greater for the animation module).

Also, please keep in mind the animation module is very much an experiment
and we greatly welcome feedback on how it works for you!

Cheers!
Ben Root
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Re: [Matplotlib-users] Animation module

2012-02-20 Thread Allen Hathaway
Worked like a charm.  Thanks.

 

Allen

 

From: ben.v.r...@gmail.com [mailto:ben.v.r...@gmail.com] On Behalf Of
Benjamin Root
Sent: Monday, February 20, 2012 3:21 PM
To: Allen Hathaway
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] Animation module

 

 

On Mon, Feb 20, 2012 at 12:32 PM, Allen Hathaway
ahatha...@autumnharp.com wrote:

I downloaded the Windows installer and installed matplotlib.  I tried to
run one of the examples from the examples directory - animate_decay -
and got the following error:

 

Traceback (most recent call last):

  File C:\Bin\Python Scripts\plot_decay.py, line 3, in module

import matplotlib.animation as animation

ImportError: No module named animation

 

What did I do wrong?

 

Allen

 


Chances are, an older version of matplotlib is still installed.  Clean
out all matplotlib installs and reinstall the current one.  (Note: need
v1.1.0 and greater for the animation module).

Also, please keep in mind the animation module is very much an
experiment and we greatly welcome feedback on how it works for you!

Cheers!
Ben Root

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[Matplotlib-users] Animation module

2011-11-03 Thread Stuart Mumford
Hello,

I discovered the (wonderful) animation module in the v1.1 release today.

However I think I may have quickly outgrown it a bit!

I am plotting some simulation data see:
http://dl.dropbox.com/u/2796140/mhdmodes_3.mp4 for an example made with the
animation class.

There is one thing missing from the above, which is colour bars!

I have created the animation using the ArtisitAnimation class because each
frame takes about 1-2 seconds to calculate the magnetic field lines, so
using FuncAnimate would result in a very slow animation.

The problem is that I can not add a colorbar instance to the list of
artists that the animator draws as it is not an artist instance.

This is a slightly modified version of the example [
http://matplotlib.sourceforge.net/examples/animation/dynamic_image2.html]
that shows my problem:

 #!/usr/bin/env python

 

 An animated image

 

 import numpy as np

 import matplotlib.pyplot as plt

 import matplotlib.animation as animation

 fig = plt.figure()

 def f(x, y):

 return np.sin(x) + np.cos(y)

 x = np.linspace(0, 2 * np.pi, 120)

 y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)

 # ims is a list of lists, each row is a list of artists to draw in the

 # current frame; here we are just animating one artist, the image, in

 # each frame

 ims = []

 for i in range(60):

 x += np.pi / 15.

 y += np.pi / 20.

 im = plt.imshow(f(x, y))

 cb = plt.colorbar()

 ims.append([im, cb])

 ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,

 repeat_delay=1000)

 plt.show()


Which generates the following error

 Traceback (most recent call last):
   File /home/stuart/Documents/VAC/sac_anim_axtest.py, line 28, in
 module
 repeat_delay=1000)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 356, in __init__
 TimedAnimation.__init__(self, fig, *args, **kwargs)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 304, in __init__
 Animation.__init__(self, fig, event_source=event_source, *args,
 **kwargs)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 53, in __init__
 self._init_draw()
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 363, in _init_draw
 artist.set_visible(False)
 AttributeError: Colorbar instance has no attribute 'set_visible'




I attempted to add the colorbar to a AxesSubplot instance and then draw the
axes in the artist list, however when I add a Axes instance to the artist
list I get a wonderful error:


Traceback (most recent call last):
   File
 /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_gtk.py,
 line 122, in _on_timer
 TimerBase._on_timer(self)
   File /usr/lib64/python2.7/site-packages/matplotlib/backend_bases.py,
 line 1092, in _on_timer
 ret = func(*args, **kwargs)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 315, in _step
 still_going = Animation._step(self, *args)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 177, in _step
 self._draw_next_frame(framedata, self._blit)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 197, in _draw_next_frame
 self._post_draw(framedata, blit)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 220, in _post_draw
 self._blit_draw(self._drawn_artists, self._blit_cache)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 235, in _blit_draw
 a.axes.draw_artist(a)
   File /usr/lib64/python2.7/site-packages/matplotlib/axes.py, line 1994,
 in draw_artist
 assert self._cachedRenderer is not None
 AssertionError


 I also saw the subplots animation example [
http://matplotlib.sourceforge.net/examples/animation/subplots.html],
however that is also based on FuncAnimate, would there be a way to create
something similar for ArtistAnimate?

Thanks
Stuart
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Re: [Matplotlib-users] Animation module

2011-11-03 Thread Benjamin Root
On Thu, Nov 3, 2011 at 12:51 PM, Stuart Mumford stu...@mumford.me.ukwrote:

 Hello,

 I discovered the (wonderful) animation module in the v1.1 release today.

 However I think I may have quickly outgrown it a bit!

 I am plotting some simulation data see:
 http://dl.dropbox.com/u/2796140/mhdmodes_3.mp4 for an example made with
 the animation class.

 There is one thing missing from the above, which is colour bars!

 I have created the animation using the ArtisitAnimation class because each
 frame takes about 1-2 seconds to calculate the magnetic field lines, so
 using FuncAnimate would result in a very slow animation.

 The problem is that I can not add a colorbar instance to the list of
 artists that the animator draws as it is not an artist instance.

 This is a slightly modified version of the example [
 http://matplotlib.sourceforge.net/examples/animation/dynamic_image2.html]
 that shows my problem:

 #!/usr/bin/env python

 

 An animated image

 

 import numpy as np

 import matplotlib.pyplot as plt

 import matplotlib.animation as animation

 fig = plt.figure()

 def f(x, y):

 return np.sin(x) + np.cos(y)

 x = np.linspace(0, 2 * np.pi, 120)

 y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)

 # ims is a list of lists, each row is a list of artists to draw in the

 # current frame; here we are just animating one artist, the image, in

 # each frame

 ims = []

 for i in range(60):

 x += np.pi / 15.

 y += np.pi / 20.

 im = plt.imshow(f(x, y))

 cb = plt.colorbar()

 ims.append([im, cb])

 ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True,

 repeat_delay=1000)

 plt.show()


 Which generates the following error

 Traceback (most recent call last):
   File /home/stuart/Documents/VAC/sac_anim_axtest.py, line 28, in
 module
 repeat_delay=1000)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 356, in __init__
 TimedAnimation.__init__(self, fig, *args, **kwargs)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 304, in __init__
 Animation.__init__(self, fig, event_source=event_source, *args,
 **kwargs)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 53, in __init__
 self._init_draw()
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 363, in _init_draw
 artist.set_visible(False)
 AttributeError: Colorbar instance has no attribute 'set_visible'




 I attempted to add the colorbar to a AxesSubplot instance and then draw
 the axes in the artist list, however when I add a Axes instance to the
 artist list I get a wonderful error:


 Traceback (most recent call last):
   File
 /usr/lib64/python2.7/site-packages/matplotlib/backends/backend_gtk.py,
 line 122, in _on_timer
 TimerBase._on_timer(self)
   File /usr/lib64/python2.7/site-packages/matplotlib/backend_bases.py,
 line 1092, in _on_timer
 ret = func(*args, **kwargs)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 315, in _step
 still_going = Animation._step(self, *args)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 177, in _step
 self._draw_next_frame(framedata, self._blit)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 197, in _draw_next_frame
 self._post_draw(framedata, blit)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 220, in _post_draw
 self._blit_draw(self._drawn_artists, self._blit_cache)
   File /usr/lib64/python2.7/site-packages/matplotlib/animation.py, line
 235, in _blit_draw
 a.axes.draw_artist(a)
   File /usr/lib64/python2.7/site-packages/matplotlib/axes.py, line
 1994, in draw_artist
 assert self._cachedRenderer is not None
 AssertionError


  I also saw the subplots animation example [
 http://matplotlib.sourceforge.net/examples/animation/subplots.html],
 however that is also based on FuncAnimate, would there be a way to create
 something similar for ArtistAnimate?

 Thanks
 Stuart


Do you need the colorbar scale to change with each frame?  If not, you can
create a wholly independent colorbar like so:

cb = mpl.colorbar.ColorbarBase(cax, cmap=cmap, norm=norm)

where 'cax' I usually get by using the axes_grid1 toolkit to pre-allocate a
spot for a colorbar axes (as opposed to using fig.add_subplots()).

However, if you need to the colorbar to change with the frames, then I
would use the FuncAnimator, but a little differently than you are probably
imagining.  The fig.colorbar() function requires a ScalarMappable object
(such as an object from imshow()).  What I would do is prime the pump by
creating the first frame.  Then create a func animator that calls a
function that loads the cached results based on an index number and
directly update the imshow()'s object using the set_data() method.  That
way, the original colorbar sees the changes from the ScalarMappable object
that was originally assigned to it.  It also results in faster rendering,
in my experience since