Return a z-normalized version of the time series ts. >>> zNormalize(np.array([1.0, 1.0, 1.0])) array([ 0., 0., 0.]) >>> np.round(zNormalize(np.array([1.0, 2.0, 0.0])), 3) array([ 0. , 1.225, -1.225]) >>> np.round(zNormalize(np.array([0.2, 2.2, -1.8])), 3) array([-0. ,
(ts)
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