Unfortunately I don't have any example with DataArray right now. Since I never could take advantage of DataArray's plotting capabilities for animations, I always did animations using pure Numpy. However, I'm talking about the standard matplotlib animations. Here's an example taken from here:

```import numpy as np import matplotlib matplotlib.use("Agg") import matplotlib.pyplot as plt import matplotlib.animation as animation

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

Set up formatting for the movie files

Writer = animation.writers['ffmpeg'] writer = Writer(fps=15, metadata=dict(artist='Me'), bitrate=1800)

fig1 = plt.figure()

data = np.random.rand(2, 25) l, = plt.plot([], [], 'r-') plt.xlim(0, 1) plt.ylim(0, 1) plt.xlabel('x') plt.title('test') line_ani = animation.FuncAnimation(fig1, update_line, 25, fargs=(data, l), interval=50, blit=True) line_ani.save('lines.mp4', writer=writer) ```

If you have some directions on a smart way to bring xarray into the picture, maybe I can try to come up with an example that might evolve into a contribution.