scipy.special.boxcox¶
-
scipy.special.
boxcox
(x, lmbda) = <ufunc 'boxcox'>¶ Compute the Box-Cox transformation.
The Box-Cox transformation is:
y = (x**lmbda - 1) / lmbda if lmbda != 0 log(x) if lmbda == 0
Returns nan if
x < 0
. Returns -inf ifx == 0
andlmbda < 0
.Parameters: - x : array_like
Data to be transformed.
- lmbda : array_like
Power parameter of the Box-Cox transform.
Returns: - y : array
Transformed data.
Notes
New in version 0.14.0.
Examples
>>> from scipy.special import boxcox >>> boxcox([1, 4, 10], 2.5) array([ 0. , 12.4 , 126.09110641]) >>> boxcox(2, [0, 1, 2]) array([ 0.69314718, 1. , 1.5 ])