| """ | |
| ===== | |
| Decay | |
| ===== | |
| This example showcases: | |
| - using a generator to drive an animation, | |
| - changing axes limits during an animation. | |
| Output generated via `matplotlib.animation.Animation.to_jshtml`. | |
| """ | |
| import itertools | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import matplotlib.animation as animation | |
| def data_gen(): | |
| for cnt in itertools.count(): | |
| t = cnt / 10 | |
| yield t, np.sin(2*np.pi*t) * np.exp(-t/10.) | |
| def init(): | |
| ax.set_ylim(-1.1, 1.1) | |
| ax.set_xlim(0, 1) | |
| del xdata[:] | |
| del ydata[:] | |
| line.set_data(xdata, ydata) | |
| return line, | |
| fig, ax = plt.subplots() | |
| line, = ax.plot([], [], lw=2) | |
| ax.grid() | |
| xdata, ydata = [], [] | |
| def run(data): | |
| # update the data | |
| t, y = data | |
| xdata.append(t) | |
| ydata.append(y) | |
| xmin, xmax = ax.get_xlim() | |
| if t >= xmax: | |
| ax.set_xlim(xmin, 2*xmax) | |
| ax.figure.canvas.draw() | |
| line.set_data(xdata, ydata) | |
| return line, | |
| # Only save last 100 frames, but run forever | |
| ani = animation.FuncAnimation(fig, run, data_gen, interval=100, init_func=init, | |
| save_count=100) | |
| plt.show() | |