Source code for mmf.async.tst

__all__ = ['animate']

import logging
import matplotlib
import time
import numpy as np
import matplotlib.pyplot as plt

def animate():
    tstart = time.time()                   # for profiling
    x = np.arange(0, 2*np.pi, 0.01)        # x-array
    line, = ax.plot(x, np.sin(x))
    for i in np.arange(1,200):
        line.set_ydata(np.sin(x+i/10.0))          # update the data
        fig.canvas.draw()                         # redraw the canvas
    print 'FPS:' , 200/(time.time()-tstart)

if __name__ == '__main__':
    l = logging.getLogger()
    l.error("Hi")
    logging.error("Hi")
    l.error("Hi")

    matplotlib.use('TkAgg') # do this before importing pylab

    fig = plt.figure()
    ax = fig.add_subplot(111)

    win = fig.canvas.manager.window
    fig.canvas.manager.window.after(100, animate)
    plt.show()