try ipython#4, animation

//=== matplotlib, animation , ffmpeg
http://nbviewer.ipython.org/url/jakevdp.github.io/downloads/notebooks/AnimationEmbedding.ipynb
http://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/

""" ...
C:\Users\bob\Anaconda\lib\site-packages\matplotlib\animation.py:727: UserWarning: MovieWriter ffmpeg unavailable
  warnings.warn("MovieWriter %s unavailable" % writer)
... """

*** need ffmpeg to create mp4 file

https://www.ffmpeg.org/download.html#build-windows
--> http://ffmpeg.zeranoe.com/builds/

-->
dnload & install 7zip
dnload & extract ffmpeg
add ffmpeg/bin  to $Path

[
//=== ffmpeg build for windows
https://www.ffmpeg.org/download.html#build-windows
--> http://ffmpeg.zeranoe.com/builds/


//=== the latest archive of static-build ffmpeg for 32bit linux
http://ffmpeg.gusari.org/static/32bit/ffmpeg.static.32bit.latest.tar.gz
]

-->
""" ... Open the command prompt. Enter the command “ffmpeg –version”
If you receive a “libstdc++ -6 is missing” error, you may need to install the Microsoft Visual C++ Redistributable Package, which is available for free from Microsoft.
..."""


--> error
matplotlib\backends\backend_agg.pyc in print_raw(self, filename_or_obj, *args, **kwargs)
    503             close = False
    504         try:
--> 505             renderer._renderer.write_rgba(filename_or_obj)
    506         finally:
    507             if close:

RuntimeError: Error writing to file

--> has probolem with tempfile.NamedTemporaryFile()
use a local file under cwd instead, say , 'myani1.mp4'



//===
https://jakevdp.github.io/blog/2012/08/18/matplotlib-animation-tutorial/
http://matplotlib.org/1.4.2/examples/animation/index.html
http://matplotlib.org/1.4.2/api/animation_api.html


//===
import matplotlib.animation as animation
animation.Animation._repr_html_ = anim_to_html

animation.FuncAnimation
animation.ArtistAnimation
animation.TimedAnimation



//=== class matplotlib.animation.FuncAnimation(fig, func, frames=None, init_func=None, fargs=None, save_count=None, **kwargs)

""" ...
Bases: matplotlib.animation.TimedAnimation

Makes an animation by repeatedly calling a function func, passing in (optional) arguments in fargs.

frames can be a generator, an iterable, or a number of frames.

init_func is a function used to draw a clear frame. If not given, the results of drawing from the first item in the frames sequence will be used. This function will be called once before the first frame.

If blit=True, func and init_func should return an iterable of drawables to clear.

kwargs include repeat, repeat_delay, and interval: interval draws a new frame every interval milliseconds. repeat controls whether the animation should repeat when the sequence of frames is completed. repeat_delay optionally adds a delay in milliseconds before repeating the animation.
... """

//=== class matplotlib.animation.TimedAnimation(fig, interval=200, repeat_delay=None, repeat=True, event_source=None, *args, **kwargs)



//=== matplotlib.animation.FuncAnimation(fig, func, frames=None, init_func=None, fargs=None, save_count=None, **kwargs)

*** frames can be

•    a generator, 
•    an iterable, or 
•    a number of frames.

--> data_gen, 25, frames=600

def data_gen():
    t = data_gen.t
    cnt = 0
    while cnt < 1000:
        cnt+=1
        t += 0.05
        yield t, np.sin(2*np.pi*t) * np.exp(-t/10.)
data_gen.t = 0

def run(data):
    # update the data
    t,y = data
    xdata.append(t)
    ydata.append(y)
...
animation.FuncAnimation(fig, run, data_gen, blit=True, interval=10,   repeat=False)



def update_line(num, data, line):
    line.set_data(data[...,:num])
    return line,

line_ani = animation.FuncAnimation(fig1, update_line, 25, fargs=(data, l),  interval=50, blit=True)




def animate(i):
    x = np.linspace(0, 2, 1000)
    y = np.sin(2 * np.pi * (x - 0.01 * i))
    line.set_data(x, y)
    return line,
ani = animation.FuncAnimation(fig, animate, frames=600,
                              interval=10, blit=True, init_func=init)



//=== class matplotlib.animation.ArtistAnimation(fig, artists, *args, **kwargs)

???
""" ...
Bases: matplotlib.animation.TimedAnimation

Before calling this function, all plotting should have taken place and the relevant artists saved.

frame_info is a list, with each list entry a collection of artists that represent what needs to be enabled on each frame. These will be disabled for other frames.
... """

//===  matplotlib.animation.ArtistAnimation(fig, artists, *args, **kwargs)
ims = []
for add in np.arange(15):
    ims.append((plt.pcolor(x, y, base + add, norm=plt.Normalize(0, 30)),))

im_ani = animation.ArtistAnimation(fig2, ims, interval=50, repeat_delay=3000,
    blit=True)

http://matplotlib.org/1.4.2/api/artist_api.html