Animate Contourf with only new frames

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.

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On Mon, Feb 23, 2015 at 8:53 AM, Ignat Harczuk <ignathe@…149…> 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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