scipy.stats.zmap

scipy.stats.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).

Previous topic

scipy.stats.sem

Next topic

scipy.stats.zscore

This Page