Matplotlib 3.0 Cookbook

How to do it...

The following are the steps to implement the required logic:

1. Define the figure and axes:

fig, ax = plt.subplots()

2. Plot a blank line:

xdata, ydata = [], []line, = ax.plot(xdata, ydata)

3. Set the limits and grid to True:

ax.set_xlim(0, 10)ax.set_ylim(-3.0, 3.0)ax.grid()

4. Define the function to generate data, which will be used in place of the number of frames:

def frame_gen(x=0):    while x < 50:        x += 0.1        yield x, np.tan(2*np.pi*x) * np.exp(-x/5.)

5. Define the function to direct the animation:

def animate(data):    x, y = data    xdata.append(x)    ydata.append(y)    xmin, xmax = ax.get_xlim()    if x >= xmax:         ax.set_xlim(xmin, 2*xmax)         ax.figure.canvas.draw()    line.set_data(xdata, ydata)    return line

6. Activate the animation:

ani = FuncAnimation(fig, ...