Eric Munsing emunsing

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	x = np.arange(0, 12.1, 0.1)
	y = range(0,10)
	activate_threshold = 1.0
	deactivate_threshold = -1.0

	data = pd.DataFrame({k: (np.sin(x+k) + 0.5 * np.sin(10*x+k)) for k in y})

	activation = (data > activate_threshold).astype('float').diff()
	activation.iloc[0,:] = (data.iloc[0,:] > activate_threshold).astype('float')
	activation = activation.replace(-1, 0)