scipy.stats.mstats.zmap¶

scipy.stats.mstats.
zmap
(scores, compare, axis=0, ddof=0)[source]¶ Calculate the relative zscores.
Return an array of zscores, 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 zscores 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. If None, compute over the whole array scores.
ddof : int, optional
Degrees of freedom correction in the calculation of the standard deviation. Default is 0.
Returns: zscore : array_like
Zscores, 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).
Examples
>>> from scipy.stats import zmap >>> a = [0.5, 2.0, 2.5, 3] >>> b = [0, 1, 2, 3, 4] >>> zmap(a, b) array([1.06066017, 0. , 0.35355339, 0.70710678])