I have a simple animation plot like so:

import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 100), ylim=(0, 100))
line, = ax.plot([], [], lw=2)x = []
y = []# initialization function: plot the background of each frame
def init():line.set_data([], [])return line,# animation function.  This is called sequentially
def animate(i):x.append(i + 1)y.append(10)line.set_data(x, y)return line,# call the animator.  blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,frames=200, interval=20, blit=True)plt.show()

Now, this works okay, but I want it to expand like one of the subplots in here http://www.roboticslab.ca/matplotlib-animation/ where the x-axis dynamically extends to accommodate the incoming data points.

How do I accomplish this?

I came across this problem (but for set_ylim) and I had some trial and error with the comment of @ImportanceOfBeingErnest and this is what I got, adapted to @nz_21 question.

def animate(i):x.append(i + 1)y.append(10)ax.set_xlim(min(x), max(x)) #added ax attribute hereline.set_data(x, y)return line, # call the animator.  blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,frames=500, interval=20)

Actually in the web quoted by @nz_21 there is a similar solution.