This page will house code snippets as soon as I find a good way to put them here…

Here’s a snippet:

This short code snippet utilizes the new animation package in matplotlib 1.1.0
It's the shortest snippet that I know of that can produce an animate plot in
python. I'm hoping that the animation package can be improved so that one could
more simply animate things. What do you think?
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

def simData():
# this function is called as the argument for
# the simPoints function. This function contains
# (or defines) and iterator---a device that computes
# a value, passes it back to the main program, and then
# returns to exactly where it left off in the function.
# I believe that one has to use this method to animate a plot
# using the matplotlib animation package.
    t_max = 10.0
    dt = 0.05
    x = 0.0
    t = 0.0
    while t <= t_max:
        x = np.sin(np.pi*t)
        t = t + dt
        yield x, t

def simPoints(simData):
    x, t = simData[0], simData[1]
    line.set_data(t, x)
    return line, time_text

##   set up figure for plotting:
fig = plt.figure()
ax = fig.add_subplot(111)
line, = ax.plot([], [], 'bo', ms=10) # I'm still not clear on this stucture...
ax.set_ylim(-1, 1)
ax.set_xlim(0, 10)
time_template = 'Time = %.1f s'    # prints running simulation time
time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)
## Now call the animation package:
ani = animation.FuncAnimation(fig, simPoints, simData, blit=False, interval=10,

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