scipy.stats.mstats.zmap¶
- scipy.stats.mstats.zmap(scores, compare, axis=0, ddof=0)[source]¶
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. 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
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).
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])