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# scipy.stats.mstats.zmap

`scipy.stats.mstats.``zmap`(scores, compare, axis=0, ddof=0)

  Calculates the relative z-scores.

  Returns an array of z-scores, i.e., scores that are standardized to zero mean and unit variance, where mean and variance are calculated from the comparison array.

  Parameters : | scores : array_like The input for which z-scores are calculated. compare : array_like The input from which the mean and standard deviation of the normalization are taken; assumed to have the same dimension as scores. axis : int or None, optional Axis over which mean and variance of compare are calculated. Default is 0. ddof : int, optional Degrees of freedom correction in the calculation of the standard deviation. Default is 0.
  Returns : | zscore : array_like Z-scores, in the same shape as scores.

  Notes

  This function preserves ndarray subclasses, and works also with matrices and masked arrays (it uses asanyarray instead of asarray for parameters).

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