[python] How to smooth a curve in the right way?

EDIT: look at this answer. Using np.cumsum is much faster than np.convolve

A quick and dirty way to smooth data I use, based on a moving average box (by convolution):

x = np.linspace(0,2*np.pi,100)
y = np.sin(x) + np.random.random(100) * 0.8

def smooth(y, box_pts):
    box = np.ones(box_pts)/box_pts
    y_smooth = np.convolve(y, box, mode='same')
    return y_smooth

plot(x, y,'o')
plot(x, smooth(y,3), 'r-', lw=2)
plot(x, smooth(y,19), 'g-', lw=2)

enter image description here

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