In [15]:

    

from neuralnilm.source import ToySource
import matplotlib.pyplot as plt
from Queue import Empty


    

In [2]:

    

source = ToySource(100, 1)


    

In [3]:

    

X, y = source.gen_data()


    

In [6]:

    

fig, axes = plt.subplots(2, sharex=True)
axes[0].plot(X[0,:,0])
axes[1].plot(y[0,:,0])
plt.show()


    

In [16]:

    

try:
    source.queue.get(block=False)
except Empty:
    print "empty yo"


    

    




empty yo

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