#!/usr/bin/python3

import numpy as np              #Uporaba učinkovitih funkcij numpy
import matplotlib.pyplot as plt #Risanje rezultata z matplotlib
import time                     #Merjenje hitrosti izvajanja

plt.ion()  #16risb/s

fig,ax=plt.subplots()
line,=ax.plot(np.random.randn(100))

#plt.show(block=False)   #32risb/s

tstart=time.time()
num_plots=0
while time.time()-tstart<10:# and plt.waitforbuttonpress(0.000001) is None:   #13risb/s

    line.set_ydata(np.random.randn(100))
    fig.canvas.draw()

    fig.canvas.flush_events()   #omogoča križec/alt-F4 pri plt.show(block=False) ali plt.ion()

    num_plots+=1
print(num_plots/10)