>>> x = np.sin(t)+np.random.randn(len(t))*0.1
>>> y = smooth(x)
>>> import matplotlib.pyplot as plt
- >>> plt.plot(x) # doctest: +ELLIPSIS
+ >>> plt.plot(x) # doctest: +SKIP
[<matplotlib.lines.Line2D object at 0x...>]
- >>> plt.plot(y) # doctest: +ELLIPSIS
+ >>> plt.plot(y) # doctest: +SKIP
[<matplotlib.lines.Line2D object at 0x...>]
- >>> plt.legend(['Source signal', 'Smoothed signal']) # doctest: +ELLIPSIS
+ >>> plt.legend(['Source signal', 'Smoothed signal']) # doctest: +SKIP
<matplotlib.legend.Legend object at 0x...>
>>> plt.show() # doctest: +SKIP
"""