This should probably be changed to use the new and improved container class
(along with error bar), but I should read the code to be sure.
On Mon, Feb 23, 2015, 11:44 Benjamin Root <ben.r...@ou.edu> wrote:
> Huh, how about that. ContourSet subclasses ScalarMappable, but not Artist.
> I don't know if that is intentional or not, but given that most plotting
> functions return artists, this would seem to be an anomaly. FuncAnimation
> expects a list of Artists. Since QuadContourSet is (apparently) not an
> Artist, then that is why it isn't working quite right.
>
> As for blitting, I doubt you are going to need it here. Blitting is really
> only advantagous if the computation/draw time of the animated portion is
> comparable to the computation/draw time of the unanimated portion.
> Contouring tends to be time-consuming (relatively speaking), so I doubt you
> will gain much benefit from blitting it.
>
> Ben Root
>
> On Mon, Feb 23, 2015 at 8:53 AM, Ignat Harczuk <igna...@gmail.com> wrote:
>
>> Firstly I would like to apologize in case this should belong in the
>> matplotlib-users, I'm not sure if this is dev or users related.
>>
>>
>> Let us say we want to animate a 2D contour plot, then passing the blit =
>> True argument to FuncAnimation fails since the QuadContourSet has no axes
>> attribute.
>>
>> Is it for some specific it is implemented like this? And maybe there a
>> hack to get this to work?
>>
>> A working code example with the actually wanted one commented out.
>>
>> import numpy as np
>> import matplotlib.animation as animation
>> from matplotlib import pyplot as plt
>>
>> fig, ax = plt.subplots()
>>
>> x = np.linspace( -np.pi, np.pi, 50 )
>> y = np.linspace( -np.pi, np.pi, 50 )
>> X, Y = np.meshgrid( x, y )
>> Z = np.zeros( X.shape )
>>
>> def init():
>> cont = ax.contourf( X, Y, Z )
>> cbar = plt.colorbar( cont )
>> return cont,
>>
>> def animate( t ):
>> k = np.array( [1,1] )
>> omega = 0.5
>>
>> x = np.linspace( -np.pi, np.pi, 50 )
>> y = np.linspace( -np.pi, np.pi, 50 )
>> X, Y = np.meshgrid( x, y )
>> Z = np.exp( 1j * (omega* t - X*k[0] ) ) * np.exp( - 1j * k[1]*Y )
>> cont = ax.contourf( X, Y, Z )
>> return cont,
>>
>> #ani = animation.FuncAnimation( fig, animate, frames = 100, interval = 1,
>> repeat = False, blit = True, init_func = init,)
>> ani = animation.FuncAnimation( fig, animate, frames = 100, interval = 1,
>> repeat = False, init_func = init,)
>> plt.show()
>>
>>
>>
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